From 94e5183b06a5e2bebdaace132017d7d8af9affc9 Mon Sep 17 00:00:00 2001 From: LukasMasuch Date: Thu, 18 Jan 2024 15:23:38 +0000 Subject: [PATCH] Update best-of list for version 2024.01.18 --- README.md | 3130 ++++++++++++++++--------------- history/2024-01-18_changes.md | 30 + history/2024-01-18_projects.csv | 917 +++++++++ latest-changes.md | 40 +- 4 files changed, 2584 insertions(+), 1533 deletions(-) create mode 100644 history/2024-01-18_changes.md create mode 100644 history/2024-01-18_projects.csv diff --git a/README.md b/README.md index 6008362..9769dd2 100644 --- a/README.md +++ b/README.md @@ -99,29 +99,9 @@ This curated list contains 920 awesome open-source projects with a total of 4.3M _General-purpose machine learning and deep learning frameworks._ -
Tensorflow (πŸ₯‡55 Β· ⭐ 180K) - An Open Source Machine Learning Framework for Everyone. Apache-2 +
PyTorch (πŸ₯‡54 Β· ⭐ 75K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.5K Β· πŸ”€ 89K Β· πŸ“¦ 330K Β· πŸ“‹ 39K - 5% open Β· ⏱️ 11.01.2024): - - ``` - git clone https://github.com/tensorflow/tensorflow - ``` -- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 16M / month Β· πŸ“¦ 15K Β· ⏱️ 05.12.2023): - ``` - pip install tensorflow - ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 4.5M Β· ⏱️ 22.12.2023): - ``` - conda install -c conda-forge tensorflow - ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 76M Β· ⭐ 2.2K Β· ⏱️ 11.01.2024): - ``` - docker pull tensorflow/tensorflow - ``` -
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PyTorch (πŸ₯‡54 Β· ⭐ 74K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 - -- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 20K Β· πŸ“₯ 32K Β· πŸ“¦ 370K Β· πŸ“‹ 40K - 32% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 20K Β· πŸ“₯ 32K Β· πŸ“¦ 380K Β· πŸ“‹ 40K - 32% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/pytorch/pytorch @@ -137,12 +117,12 @@ _General-purpose machine learning and deep learning frameworks._
scikit-learn (πŸ₯‡52 Β· ⭐ 57K) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 25K Β· πŸ“₯ 930 Β· πŸ“¦ 680K Β· πŸ“‹ 11K - 20% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 24K Β· πŸ“₯ 930 Β· πŸ“¦ 680K Β· πŸ“‹ 11K - 15% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/scikit-learn/scikit-learn ``` -- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 42M / month Β· πŸ“¦ 31K Β· ⏱️ 20.12.2023): +- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 43M / month): ``` pip install scikit-learn ``` @@ -151,14 +131,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge scikit-learn ```
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Keras (πŸ₯‡47 Β· ⭐ 60K) - Deep Learning for humans. Apache-2 +
Keras (πŸ₯‡45 Β· ⭐ 60K Β· πŸ“‰) - Deep Learning for humans. Apache-2 -- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 20K Β· πŸ“¦ 21 Β· πŸ“‹ 12K - 1% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 19K Β· πŸ“¦ 21 Β· πŸ“‹ 12K - 1% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/keras-team/keras ``` -- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 13M / month Β· πŸ“¦ 720 Β· ⏱️ 21.12.2023): +- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 13M / month): ``` pip install keras ``` @@ -167,46 +147,46 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge keras ```
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jax (πŸ₯‡46 Β· ⭐ 26K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 +
PySpark (πŸ₯‡45 Β· ⭐ 38K) - Apache Spark Python API. Apache-2 -- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 2.4K Β· πŸ“¦ 21K Β· πŸ“‹ 5.1K - 29% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 28K Β· ⏱️ 18.01.2024): ``` - git clone https://github.com/google/jax + git clone https://github.com/apache/spark ``` -- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 4.6M / month Β· πŸ“¦ 810 Β· ⏱️ 14.12.2023): +- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 28M / month Β· πŸ“¦ 1.3K Β· ⏱️ 16.12.2023): ``` - pip install jax + pip install pyspark ``` -- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 1M Β· ⏱️ 23.12.2023): +- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 3M Β· ⏱️ 04.10.2023): ``` - conda install -c conda-forge jaxlib + conda install -c conda-forge pyspark ```
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PySpark (πŸ₯‡45 Β· ⭐ 38K Β· πŸ“ˆ) - Apache Spark Python API. Apache-2 +
jax (πŸ₯‡45 Β· ⭐ 26K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 28K Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 2.4K Β· πŸ“¦ 21K Β· πŸ“‹ 4.9K - 25% open Β· ⏱️ 18.01.2024): ``` - git clone https://github.com/apache/spark + git clone https://github.com/google/jax ``` -- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 28M / month Β· πŸ“¦ 1.3K Β· ⏱️ 16.12.2023): +- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 4.6M / month): ``` - pip install pyspark + pip install jax ``` -- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 3M Β· ⏱️ 04.10.2023): +- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 1M Β· ⏱️ 23.12.2023): ``` - conda install -c conda-forge pyspark + conda install -c conda-forge jaxlib ```
pytorch-lightning (πŸ₯‡45 Β· ⭐ 26K) - Pretrain, finetune and deploy AI models on multiple.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 920 Β· πŸ”€ 3.1K Β· πŸ“₯ 14K Β· πŸ“¦ 28K Β· πŸ“‹ 6.7K - 9% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 920 Β· πŸ”€ 3K Β· πŸ“₯ 14K Β· πŸ“¦ 28K Β· πŸ“‹ 6.7K - 9% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/Lightning-AI/lightning ``` -- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 4M / month Β· πŸ“¦ 770 Β· ⏱️ 21.12.2023): +- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 4.2M / month): ``` pip install pytorch-lightning ``` @@ -217,12 +197,12 @@ _General-purpose machine learning and deep learning frameworks._
XGBoost (πŸ₯‡45 Β· ⭐ 25K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 630 Β· πŸ”€ 8.7K Β· πŸ“₯ 8K Β· πŸ“¦ 78K Β· πŸ“‹ 5.1K - 8% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 630 Β· πŸ”€ 8.1K Β· πŸ“₯ 8K Β· πŸ“¦ 78K Β· πŸ“‹ 5K - 6% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/dmlc/xgboost ``` -- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 12M / month Β· πŸ“¦ 1.8K Β· ⏱️ 19.12.2023): +- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 12M / month): ``` pip install xgboost ``` @@ -233,19 +213,19 @@ _General-purpose machine learning and deep learning frameworks._
PaddlePaddle (πŸ₯‡45 Β· ⭐ 21K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 5.4K Β· πŸ“₯ 15K Β· πŸ“¦ 4.5K Β· πŸ“‹ 19K - 10% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 5.2K Β· πŸ“₯ 15K Β· πŸ“¦ 4.5K Β· πŸ“‹ 18K - 5% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/PaddlePaddle/Paddle ``` -- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 180K / month Β· πŸ“¦ 94 Β· ⏱️ 26.12.2023): +- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 170K / month): ``` pip install paddlepaddle ```
StatsModels (πŸ₯‡45 Β· ⭐ 9.2K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 -- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.8K Β· πŸ“₯ 30 Β· πŸ“¦ 110K Β· πŸ“‹ 5.4K - 49% open Β· ⏱️ 04.01.2024): +- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.8K Β· πŸ“₯ 30 Β· πŸ“¦ 110K Β· πŸ“‹ 5.4K - 49% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/statsmodels/statsmodels @@ -261,7 +241,7 @@ _General-purpose machine learning and deep learning frameworks._
LightGBM (πŸ₯ˆ43 Β· ⭐ 16K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT -- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3.8K Β· πŸ“₯ 210K Β· πŸ“¦ 29K Β· πŸ“‹ 3.2K - 10% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3.8K Β· πŸ“₯ 210K Β· πŸ“¦ 29K Β· πŸ“‹ 3.2K - 10% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/microsoft/LightGBM @@ -277,12 +257,12 @@ _General-purpose machine learning and deep learning frameworks._
Catboost (πŸ₯ˆ41 Β· ⭐ 7.5K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 -- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 1.1K Β· πŸ“₯ 210K Β· πŸ“¦ 12 Β· πŸ“‹ 2.2K - 23% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 1.1K Β· πŸ“₯ 210K Β· πŸ“¦ 12 Β· πŸ“‹ 2.2K - 24% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/catboost/catboost ``` -- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 1.6M / month Β· πŸ“¦ 360 Β· ⏱️ 19.09.2023): +- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 1.5M / month Β· πŸ“¦ 360 Β· ⏱️ 19.09.2023): ``` pip install catboost ``` @@ -291,7 +271,19 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge catboost ```
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Jina (πŸ₯ˆ40 Β· ⭐ 20K) - Build multimodal AI applications with cloud-native stack. Apache-2 +
Fastai (πŸ₯ˆ39 Β· ⭐ 25K) - The fastai deep learning library. Apache-2 + +- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 7.5K Β· πŸ“¦ 16K Β· πŸ“‹ 1.8K - 11% open Β· ⏱️ 07.01.2024): + + ``` + git clone https://github.com/fastai/fastai + ``` +- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 350K / month Β· πŸ“¦ 340 Β· ⏱️ 15.10.2023): + ``` + pip install fastai + ``` +
+
Jina (πŸ₯ˆ39 Β· ⭐ 20K) - Build multimodal AI applications with cloud-native stack. Apache-2 - [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 10.01.2024): @@ -311,26 +303,30 @@ _General-purpose machine learning and deep learning frameworks._ docker pull jinaai/jina ```
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Fastai (πŸ₯ˆ39 Β· ⭐ 25K) - The fastai deep learning library. Apache-2 +
Theano (πŸ₯ˆ38 Β· ⭐ 9.8K) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 -- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 7.5K Β· πŸ“¦ 16K Β· πŸ“‹ 1.8K - 11% open Β· ⏱️ 07.01.2024): +- [GitHub](https://github.com/Theano/Theano) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 2.5K Β· πŸ“¦ 15K Β· πŸ“‹ 2.8K - 24% open Β· ⏱️ 15.01.2024): ``` - git clone https://github.com/fastai/fastai + git clone https://github.com/Theano/Theano ``` -- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 340K / month Β· πŸ“¦ 340 Β· ⏱️ 15.10.2023): +- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 340K / month Β· πŸ“¦ 2.8K Β· ⏱️ 27.07.2020): ``` - pip install fastai + pip install theano + ``` +- [Conda](https://anaconda.org/conda-forge/theano) (πŸ“₯ 2.4M Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge theano ```
Flax (πŸ₯ˆ38 Β· ⭐ 5.1K) - Flax is a neural network library for JAX that is designed for.. Apache-2 -- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 580 Β· πŸ“₯ 50 Β· πŸ“¦ 5.7K Β· πŸ“‹ 860 - 21% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 550 Β· πŸ“₯ 50 Β· πŸ“¦ 5.7K Β· πŸ“‹ 780 - 13% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/google/flax ``` -- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 2.9M / month Β· πŸ“¦ 200 Β· ⏱️ 28.10.2023): +- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 2.8M / month): ``` pip install flax ``` @@ -341,52 +337,60 @@ _General-purpose machine learning and deep learning frameworks._
PyFlink (πŸ₯ˆ37 Β· ⭐ 23K) - Apache Flink Python API. Apache-2 -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 13K Β· πŸ“¦ 21 Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 13K Β· πŸ“¦ 21 Β· ⏱️ 18.01.2024): ``` git clone https://github.com/apache/flink ``` -- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 41K / month Β· πŸ“¦ 24 Β· ⏱️ 28.11.2023): +- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 32K / month Β· πŸ“¦ 24 Β· ⏱️ 15.01.2024): ``` pip install apache-flink ```
MXNet (πŸ₯ˆ37 Β· ⭐ 21K Β· πŸ’€) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 -- [GitHub](https://github.com/apache/mxnet) (πŸ‘¨β€πŸ’» 980 Β· πŸ”€ 6.9K Β· πŸ“₯ 27K Β· πŸ“¦ 7K Β· πŸ“‹ 9.6K - 18% open Β· ⏱️ 26.01.2023): +- [GitHub](https://github.com/apache/mxnet) (πŸ‘¨β€πŸ’» 980 Β· πŸ”€ 6.5K Β· πŸ“₯ 27K Β· πŸ“¦ 7K Β· πŸ“‹ 9.6K - 18% open Β· ⏱️ 26.01.2023): ``` git clone https://github.com/apache/incubator-mxnet ``` -- [PyPi](https://pypi.org/project/mxnet) (πŸ“₯ 390K / month Β· πŸ“¦ 290 Β· ⏱️ 17.05.2022): +- [PyPi](https://pypi.org/project/mxnet) (πŸ“₯ 390K / month): ``` pip install mxnet ``` -- [Conda](https://anaconda.org/anaconda/mxnet) (πŸ“₯ 11K Β· πŸ“¦ 5 Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/anaconda/mxnet) (πŸ“₯ 11K Β· ⏱️ 16.06.2023): ``` conda install -c anaconda mxnet ```
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Ludwig (πŸ₯ˆ35 Β· ⭐ 10K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2 +
Tensorflow (πŸ₯ˆ35 Β· ⭐ 180K Β· πŸ“‰) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 1.1K Β· πŸ“¦ 240 Β· πŸ“‹ 1.1K - 30% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 980 Β· πŸ”€ 89K): ``` - git clone https://github.com/ludwig-ai/ludwig + git clone https://github.com/tensorflow/tensorflow ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 3.8K / month Β· πŸ“¦ 9 Β· ⏱️ 20.12.2023): +- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 16M / month Β· πŸ“¦ 15K Β· ⏱️ 18.01.2024): ``` - pip install ludwig + pip install tensorflow + ``` +- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 4.5M Β· ⏱️ 22.12.2023): + ``` + conda install -c conda-forge tensorflow + ``` +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 76M Β· ⭐ 2.2K Β· ⏱️ 17.01.2024): + ``` + docker pull tensorflow/tensorflow ```
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einops (πŸ₯ˆ35 Β· ⭐ 7.5K) - Flexible and powerful tensor operations for readable and reliable code.. MIT +
einops (πŸ₯ˆ35 Β· ⭐ 7.6K) - Flexible and powerful tensor operations for readable and reliable code.. MIT -- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 320 Β· πŸ“¦ 24K Β· πŸ“‹ 160 - 18% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 320 Β· πŸ“¦ 25K Β· πŸ“‹ 160 - 17% open Β· ⏱️ 11.01.2024): ``` git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 5.4M / month Β· πŸ“¦ 840 Β· ⏱️ 01.10.2023): +- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 5.7M / month): ``` pip install einops ``` @@ -397,12 +401,12 @@ _General-purpose machine learning and deep learning frameworks._
Ignite (πŸ₯ˆ35 Β· ⭐ 4.4K) - High-level library to help with training and evaluating neural.. BSD-3 -- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 610 Β· πŸ“¦ 2.6K Β· πŸ“‹ 1.4K - 10% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 610 Β· πŸ“¦ 2.6K Β· πŸ“‹ 1.4K - 10% open Β· ⏱️ 11.01.2024): ``` git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 380K / month Β· πŸ“¦ 49 Β· ⏱️ 11.01.2024): +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 380K / month Β· πŸ“¦ 49 Β· ⏱️ 18.01.2024): ``` pip install pytorch-ignite ``` @@ -413,12 +417,12 @@ _General-purpose machine learning and deep learning frameworks._
Thinc (πŸ₯ˆ35 Β· ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT -- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 280 Β· πŸ“¦ 41K Β· πŸ“‹ 140 - 12% open Β· ⏱️ 14.12.2023): +- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 280 Β· πŸ“¦ 42K Β· πŸ“‹ 140 - 11% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 5.3M / month Β· πŸ“¦ 640 Β· ⏱️ 14.12.2023): +- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 5.1M / month Β· πŸ“¦ 640 Β· ⏱️ 16.01.2024): ``` pip install thinc ``` @@ -429,16 +433,28 @@ _General-purpose machine learning and deep learning frameworks._
ivy (πŸ₯ˆ34 Β· ⭐ 14K) - The Unified AI Framework. Apache-2 -- [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 6K Β· πŸ“‹ 17K - 7% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 6K Β· πŸ“‹ 17K - 7% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/unifyai/ivy ``` -- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 800 / month Β· πŸ“¦ 9 Β· ⏱️ 04.01.2024): +- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 910 / month Β· πŸ“¦ 9 Β· ⏱️ 04.01.2024): ``` pip install ivy ```
+
Ludwig (πŸ₯ˆ34 Β· ⭐ 10K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2 + +- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 1.1K Β· πŸ“¦ 240 Β· πŸ“‹ 1K - 26% open Β· ⏱️ 17.01.2024): + + ``` + git clone https://github.com/ludwig-ai/ludwig + ``` +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 3.8K / month): + ``` + pip install ludwig + ``` +
Sonnet (πŸ₯‰33 Β· ⭐ 9.7K) - TensorFlow-based neural network library. Apache-2 - [GitHub](https://github.com/google-deepmind/sonnet) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.4K Β· πŸ“¦ 1.2K Β· πŸ“‹ 190 - 16% open Β· ⏱️ 02.01.2024): @@ -446,7 +462,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/deepmind/sonnet ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 15K / month Β· πŸ“¦ 53 Β· ⏱️ 02.01.2024): +- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 17K / month Β· πŸ“¦ 53 Β· ⏱️ 02.01.2024): ``` pip install dm-sonnet ``` @@ -462,7 +478,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 38K / month Β· πŸ“¦ 34 Β· ⏱️ 19.07.2023): +- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 37K / month Β· πŸ“¦ 34 Β· ⏱️ 19.07.2023): ``` pip install vowpalwabbit ``` @@ -471,22 +487,6 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge vowpalwabbit ```
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mlpack (πŸ₯‰33 Β· ⭐ 4.6K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 - -- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.6K - 1% open Β· ⏱️ 06.01.2024): - - ``` - git clone https://github.com/mlpack/mlpack - ``` -- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 3.8K / month Β· πŸ“¦ 1 Β· ⏱️ 16.12.2023): - ``` - pip install mlpack - ``` -- [Conda](https://anaconda.org/conda-forge/mlpack) (πŸ“₯ 170K Β· ⏱️ 29.11.2023): - ``` - conda install -c conda-forge mlpack - ``` -
tensorpack (πŸ₯‰32 Β· ⭐ 6.3K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2 - [GitHub](https://github.com/tensorpack/tensorpack) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.8K Β· πŸ“₯ 160 Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.4K - 0% open Β· ⏱️ 06.08.2023): @@ -494,7 +494,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/tensorpack/tensorpack ``` -- [PyPi](https://pypi.org/project/tensorpack) (πŸ“₯ 9K / month Β· πŸ“¦ 47 Β· ⏱️ 22.01.2021): +- [PyPi](https://pypi.org/project/tensorpack) (πŸ“₯ 8.5K / month Β· πŸ“¦ 47 Β· ⏱️ 22.01.2021): ``` pip install tensorpack ``` @@ -505,12 +505,12 @@ _General-purpose machine learning and deep learning frameworks._
Haiku (πŸ₯‰32 Β· ⭐ 2.7K) - JAX-based neural network library. Apache-2 -- [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 220 Β· πŸ“¦ 1.7K Β· πŸ“‹ 240 - 29% open Β· ⏱️ 30.11.2023): +- [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 220 Β· πŸ“¦ 1.7K Β· πŸ“‹ 240 - 29% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/deepmind/dm-haiku ``` -- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 150K / month Β· πŸ“¦ 88 Β· ⏱️ 10.11.2023): +- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 140K / month): ``` pip install dm-haiku ``` @@ -526,7 +526,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/skorch-dev/skorch ``` -- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 51K / month Β· πŸ“¦ 53 Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 51K / month): ``` pip install skorch ``` @@ -537,19 +537,19 @@ _General-purpose machine learning and deep learning frameworks._
dyNET (πŸ₯‰31 Β· ⭐ 3.4K) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 -- [GitHub](https://github.com/clab/dynet) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 700 Β· πŸ“₯ 14K Β· πŸ“¦ 250 Β· πŸ“‹ 930 - 28% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/clab/dynet) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 670 Β· πŸ“₯ 14K Β· πŸ“¦ 250 Β· πŸ“‹ 930 - 28% open Β· ⏱️ 08.11.2023): ``` git clone https://github.com/clab/dynet ``` -- [PyPi](https://pypi.org/project/dyNET) (πŸ“₯ 410K / month Β· πŸ“¦ 29 Β· ⏱️ 21.10.2020): +- [PyPi](https://pypi.org/project/dyNET) (πŸ“₯ 380K / month): ``` pip install dyNET ```
EvaDB (πŸ₯‰31 Β· ⭐ 2.5K) - Database system for AI-powered apps. Apache-2 -- [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 240 Β· πŸ“₯ 410K Β· πŸ“¦ 140 Β· πŸ“‹ 300 - 25% open Β· ⏱️ 03.12.2023): +- [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 250 Β· πŸ“₯ 410K Β· πŸ“¦ 140 Β· πŸ“‹ 300 - 25% open Β· ⏱️ 03.12.2023): ``` git clone https://github.com/georgia-tech-db/eva @@ -561,7 +561,7 @@ _General-purpose machine learning and deep learning frameworks._
Geomstats (πŸ₯‰31 Β· ⭐ 1.1K) - Computations and statistics on manifolds with geometric structures. MIT -- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 220 Β· πŸ“¦ 90 Β· πŸ“‹ 540 - 37% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 220 Β· πŸ“¦ 90 Β· πŸ“‹ 540 - 37% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/geomstats/geomstats @@ -577,50 +577,50 @@ _General-purpose machine learning and deep learning frameworks._
tensorflow-upstream (πŸ₯‰31 Β· ⭐ 670) - TensorFlow ROCm port. Apache-2 -- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.5K Β· πŸ”€ 84 Β· πŸ“₯ 21 Β· πŸ“‹ 390 - 27% open Β· ⏱️ 22.12.2023): +- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.5K Β· πŸ”€ 85 Β· πŸ“₯ 21 Β· πŸ“‹ 390 - 27% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream ``` -- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 4K / month Β· πŸ“¦ 6 Β· ⏱️ 10.01.2024): +- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 4.5K / month Β· πŸ“¦ 6 Β· ⏱️ 10.01.2024): ``` pip install tensorflow-rocm ```
Determined (πŸ₯‰30 Β· ⭐ 2.7K) - Determined is an open-source machine learning platform.. Apache-2 -- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 340 Β· πŸ“₯ 8K Β· πŸ“‹ 460 - 31% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 340 Β· πŸ“₯ 8.1K Β· πŸ“‹ 460 - 31% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/determined-ai/determined ``` -- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 18K / month Β· πŸ“¦ 4 Β· ⏱️ 10.01.2024): +- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 18K / month Β· πŸ“¦ 4 Β· ⏱️ 17.01.2024): ``` pip install determined ```
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Neural Network Libraries (πŸ₯‰30 Β· ⭐ 2.7K) - Neural Network Libraries. Apache-2 +
ktrain (πŸ₯‰29 Β· ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 -- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 340 Β· πŸ“₯ 910 Β· πŸ“‹ 92 - 34% open Β· ⏱️ 27.12.2023): +- [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 270 Β· πŸ“¦ 490 Β· πŸ“‹ 480 - 0% open Β· ⏱️ 18.11.2023): ``` - git clone https://github.com/sony/nnabla + git clone https://github.com/amaiya/ktrain ``` -- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 2K / month Β· πŸ“¦ 55 Β· ⏱️ 06.12.2023): +- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 10K / month Β· πŸ“¦ 3 Β· ⏱️ 18.11.2023): ``` - pip install nnabla + pip install ktrain ```
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ktrain (πŸ₯‰29 Β· ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 +
Neural Network Libraries (πŸ₯‰27 Β· ⭐ 2.7K Β· πŸ“‰) - Neural Network Libraries. Apache-2 -- [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 270 Β· πŸ“¦ 490 Β· πŸ“‹ 480 - 0% open Β· ⏱️ 18.11.2023): +- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 330 Β· πŸ“₯ 910 Β· πŸ“‹ 79 - 25% open Β· ⏱️ 27.12.2023): ``` - git clone https://github.com/amaiya/ktrain + git clone https://github.com/sony/nnabla ``` -- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 11K / month Β· πŸ“¦ 3 Β· ⏱️ 18.11.2023): +- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 2.2K / month): ``` - pip install ktrain + pip install nnabla ```
SHOGUN (πŸ₯‰26 Β· ⭐ 3K) - Unified and efficient Machine Learning. BSD-3 @@ -641,7 +641,7 @@ _General-purpose machine learning and deep learning frameworks._
Neural Tangents (πŸ₯‰26 Β· ⭐ 2.2K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 -- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 240 Β· πŸ“₯ 350 Β· πŸ“¦ 91 Β· πŸ“‹ 150 - 39% open Β· ⏱️ 11.12.2023): +- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 240 Β· πŸ“₯ 360 Β· πŸ“¦ 91 Β· πŸ“‹ 150 - 39% open Β· ⏱️ 11.12.2023): ``` git clone https://github.com/google/neural-tangents @@ -651,26 +651,14 @@ _General-purpose machine learning and deep learning frameworks._ pip install neural-tangents ```
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Towhee (πŸ₯‰25 Β· ⭐ 2.9K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 - -- [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 250 Β· πŸ“₯ 2.6K Β· πŸ“‹ 650 - 0% open Β· ⏱️ 04.12.2023): - - ``` - git clone https://github.com/towhee-io/towhee - ``` -- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 2.9K / month Β· ⏱️ 04.12.2023): - ``` - pip install towhee - ``` -
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pyRiemann (πŸ₯‰25 Β· ⭐ 540) - Machine learning for multivariate data analysis through the.. BSD-3 +
pyRiemann (πŸ₯‰26 Β· ⭐ 550) - Machine learning for multivariate data analysis through the.. BSD-3 -- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 150 Β· πŸ“¦ 300 Β· πŸ“‹ 100 - 7% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 150 Β· πŸ“¦ 300 Β· πŸ“‹ 110 - 7% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/pyRiemann/pyRiemann ``` -- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 17K / month Β· πŸ“¦ 19 Β· ⏱️ 17.07.2022): +- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 15K / month Β· πŸ“¦ 20 Β· ⏱️ 17.07.2022): ``` pip install pyriemann ``` @@ -679,16 +667,16 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge pyriemann ```
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Objax (πŸ₯‰24 Β· ⭐ 750) - Objax is a machine learning framework that provides an Object.. Apache-2 +
Towhee (πŸ₯‰25 Β· ⭐ 2.9K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 -- [GitHub](https://github.com/google/objax) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 78 Β· πŸ“¦ 46 Β· πŸ“‹ 110 - 45% open Β· ⏱️ 06.11.2023): +- [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 250 Β· πŸ“₯ 2.6K Β· πŸ“‹ 650 - 0% open Β· ⏱️ 04.12.2023): ``` - git clone https://github.com/google/objax + git clone https://github.com/towhee-io/towhee ``` -- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 510 / month Β· πŸ“¦ 4 Β· ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 3K / month Β· ⏱️ 04.12.2023): ``` - pip install objax + pip install towhee ```
NeuPy (πŸ₯‰24 Β· ⭐ 740 Β· πŸ’€) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT @@ -698,19 +686,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/itdxer/neupy ``` -- [PyPi](https://pypi.org/project/neupy) (πŸ“₯ 3.3K / month Β· πŸ“¦ 13 Β· ⏱️ 04.04.2019): +- [PyPi](https://pypi.org/project/neupy) (πŸ“₯ 3.1K / month): ``` pip install neupy ```
Torchbearer (πŸ₯‰24 Β· ⭐ 630) - torchbearer: A model fitting library for PyTorch. MIT -- [GitHub](https://github.com/pytorchbearer/torchbearer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 68 Β· πŸ“¦ 86 Β· πŸ“‹ 250 - 4% open Β· ⏱️ 04.12.2023): +- [GitHub](https://github.com/pytorchbearer/torchbearer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 67 Β· πŸ“¦ 86 Β· πŸ“‹ 250 - 4% open Β· ⏱️ 04.12.2023): ``` git clone https://github.com/pytorchbearer/torchbearer ``` -- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 320 / month Β· πŸ“¦ 4 Β· ⏱️ 01.12.2023): +- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 410 / month): ``` pip install torchbearer ``` @@ -722,31 +710,31 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 370 / month Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 400 / month Β· ⏱️ 09.11.2023): ``` pip install fklearn ```
NeoML (πŸ₯‰22 Β· ⭐ 750) - Machine learning framework for both deep learning and traditional.. Apache-2 -- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 120 Β· πŸ“‹ 87 - 42% open Β· ⏱️ 08.01.2024): +- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 120 Β· πŸ“‹ 87 - 42% open Β· ⏱️ 12.01.2024): ``` git clone https://github.com/neoml-lib/neoml ``` -- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 640 / month Β· ⏱️ 26.12.2023): +- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 660 / month Β· ⏱️ 26.12.2023): ``` pip install neoml ```
chefboost (πŸ₯‰22 Β· ⭐ 430) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT -- [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 96 Β· πŸ“¦ 51 Β· πŸ“‹ 42 - 11% open Β· ⏱️ 26.12.2023): +- [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 96 Β· πŸ“¦ 51 Β· πŸ“‹ 43 - 11% open Β· ⏱️ 26.12.2023): ``` git clone https://github.com/serengil/chefboost ``` -- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 1.6K / month Β· ⏱️ 16.02.2022): +- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 1.7K / month Β· ⏱️ 16.02.2022): ``` pip install chefboost ``` @@ -758,38 +746,39 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundersvm ``` -- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 420 / month Β· ⏱️ 13.03.2020): +- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 360 / month): ``` pip install thundersvm ```
ThunderGBM (πŸ₯‰16 Β· ⭐ 680) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 -- [GitHub](https://github.com/Xtra-Computing/thundergbm) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 87 Β· πŸ“¦ 2 Β· πŸ“‹ 79 - 46% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/Xtra-Computing/thundergbm) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 81 Β· πŸ“¦ 2 Β· πŸ“‹ 79 - 46% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 100 / month Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 130 / month): ``` pip install thundergbm ```
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Show 14 hidden projects... +
Show 15 hidden projects... - dlib (πŸ₯ˆ38 Β· ⭐ 13K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 -- Theano (πŸ₯ˆ38 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 - MindsDB (πŸ₯ˆ34 Β· ⭐ 20K) - Build AI using SQL. ❗️GPL-3.0 - Chainer (πŸ₯‰33 Β· ⭐ 5.8K Β· πŸ’€) - A flexible framework of neural networks for deep learning. MIT - TFlearn (πŸ₯‰32 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for TensorFlow. MIT - Turi Create (πŸ₯‰31 Β· ⭐ 11K Β· πŸ’€) - Turi Create simplifies the development of custom machine.. BSD-3 -- CNTK (πŸ₯‰30 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT +- mlpack (πŸ₯‰31 Β· ⭐ 4.7K) - mlpack: a fast, header-only C++ machine learning library. ❗Unlicensed - NuPIC (πŸ₯‰28 Β· ⭐ 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. ❗️AGPL-3.0 - Lasagne (πŸ₯‰28 Β· ⭐ 3.8K Β· πŸ’€) - Lightweight library to build and train neural networks in Theano. MIT +- CNTK (πŸ₯‰26 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning.. ❗Unlicensed - xLearn (πŸ₯‰24 Β· ⭐ 3.1K Β· πŸ’€) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 +- Objax (πŸ₯‰23 Β· ⭐ 750) - Apache-2 - mace (πŸ₯‰22 Β· ⭐ 4.8K Β· πŸ’€) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 - neon (πŸ₯‰22 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 -- elegy (πŸ₯‰18 Β· ⭐ 460 Β· πŸ’€) - A High Level API for Deep Learning in JAX. MIT +- elegy (πŸ₯‰19 Β· ⭐ 460 Β· πŸ’€) - A High Level API for Deep Learning in JAX. MIT - StarSpace (πŸ₯‰16 Β· ⭐ 3.9K Β· πŸ’€) - Learning embeddings for classification, retrieval and ranking. MIT

@@ -802,12 +791,12 @@ _General-purpose and task-specific data visualization libraries._
Matplotlib (πŸ₯‡50 Β· ⭐ 19K) - matplotlib: plotting with Python. Python-2.0 -- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 7.4K Β· πŸ“¦ 1.1M Β· πŸ“‹ 10K - 14% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 7.4K Β· πŸ“¦ 1.1M Β· πŸ“‹ 10K - 14% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/matplotlib/matplotlib ``` -- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 44M / month Β· πŸ“¦ 64K Β· ⏱️ 18.11.2023): +- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 45M / month Β· πŸ“¦ 64K Β· ⏱️ 18.11.2023): ``` pip install matplotlib ``` @@ -818,12 +807,12 @@ _General-purpose and task-specific data visualization libraries._
Bokeh (πŸ₯‡45 Β· ⭐ 18K) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 680 Β· πŸ”€ 4.2K Β· πŸ“¦ 82K Β· πŸ“‹ 7.6K - 10% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 680 Β· πŸ”€ 4.2K Β· πŸ“¦ 82K Β· πŸ“‹ 7.6K - 10% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 3.7M / month Β· πŸ“¦ 3.8K Β· ⏱️ 08.01.2024): +- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 3.3M / month Β· πŸ“¦ 3.8K Β· ⏱️ 08.01.2024): ``` pip install bokeh ``` @@ -832,45 +821,45 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge bokeh ```
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Plotly (πŸ₯‡44 Β· ⭐ 15K) - The interactive graphing library for Python This project now includes.. MIT +
Seaborn (πŸ₯‡44 Β· ⭐ 12K) - Statistical data visualization in Python. BSD-3 -- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2.4K Β· πŸ“¦ 230K Β· πŸ“‹ 2.8K - 50% open Β· ⏱️ 21.12.2023): +- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.9K Β· πŸ“₯ 380 Β· πŸ“¦ 350K Β· πŸ“‹ 2.5K - 5% open Β· ⏱️ 13.01.2024): ``` - git clone https://github.com/plotly/plotly.py - ``` -- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 10M / month Β· πŸ“¦ 5.5K Β· ⏱️ 25.10.2023): - ``` - pip install plotly + git clone https://github.com/mwaskom/seaborn ``` -- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 5.2M Β· ⏱️ 25.10.2023): +- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 12M / month Β· πŸ“¦ 12K Β· ⏱️ 31.12.2023): ``` - conda install -c conda-forge plotly + pip install seaborn ``` -- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 30K / month Β· πŸ“¦ 7 Β· ⏱️ 12.01.2021): +- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 7.9M Β· ⏱️ 03.01.2024): ``` - npm install plotlywidget + conda install -c conda-forge seaborn ```
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Seaborn (πŸ₯‡44 Β· ⭐ 12K) - Statistical data visualization in Python. BSD-3 +
Plotly (πŸ₯‡43 Β· ⭐ 15K) - The interactive graphing library for Python This project now includes.. MIT -- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.9K Β· πŸ“₯ 370 Β· πŸ“¦ 350K Β· πŸ“‹ 2.5K - 5% open Β· ⏱️ 31.12.2023): +- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2.4K Β· πŸ“¦ 230K Β· πŸ“‹ 2.8K - 50% open Β· ⏱️ 21.12.2023): ``` - git clone https://github.com/mwaskom/seaborn + git clone https://github.com/plotly/plotly.py ``` -- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 12M / month Β· πŸ“¦ 12K Β· ⏱️ 31.12.2023): +- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 10M / month Β· πŸ“¦ 5.5K Β· ⏱️ 25.10.2023): ``` - pip install seaborn + pip install plotly ``` -- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 7.9M Β· ⏱️ 03.01.2024): +- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 5.2M Β· ⏱️ 25.10.2023): ``` - conda install -c conda-forge seaborn + conda install -c conda-forge plotly + ``` +- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 22K / month Β· πŸ“¦ 7 Β· ⏱️ 12.01.2021): + ``` + npm install plotlywidget ```
Altair (πŸ₯‡41 Β· ⭐ 8.7K) - Declarative statistical visualization library for Python. BSD-3 -- [GitHub](https://github.com/altair-viz/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 780 Β· πŸ“₯ 96 Β· πŸ“¦ 99K Β· πŸ“‹ 1.9K - 9% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/altair-viz/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 780 Β· πŸ“₯ 96 Β· πŸ“¦ 100K Β· πŸ“‹ 1.9K - 9% open Β· ⏱️ 09.01.2024): ``` git clone https://github.com/altair-viz/altair @@ -886,7 +875,7 @@ _General-purpose and task-specific data visualization libraries._
dash (πŸ₯‡39 Β· ⭐ 20K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT -- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 2K Β· πŸ“₯ 53 Β· πŸ“¦ 57K Β· πŸ“‹ 1.7K - 48% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 2K Β· πŸ“₯ 62 Β· πŸ“¦ 57K Β· πŸ“‹ 1.7K - 48% open Β· ⏱️ 09.01.2024): ``` git clone https://github.com/plotly/dash @@ -902,24 +891,24 @@ _General-purpose and task-specific data visualization libraries._
pyecharts (πŸ₯ˆ37 Β· ⭐ 14K) - Python Echarts Plotting Library. MIT -- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 2.8K Β· πŸ“¦ 3.7K Β· πŸ“‹ 1.8K - 0% open Β· ⏱️ 21.08.2023): +- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 2.8K Β· πŸ“¦ 3.8K Β· πŸ“‹ 1.8K - 0% open Β· ⏱️ 21.08.2023): ``` git clone https://github.com/pyecharts/pyecharts ``` -- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 130K / month Β· πŸ“¦ 250 Β· ⏱️ 21.08.2023): +- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 120K / month Β· πŸ“¦ 250 Β· ⏱️ 21.08.2023): ``` pip install pyecharts ```
pandas-profiling (πŸ₯ˆ37 Β· ⭐ 12K) - 1 Line of code data quality profiling & exploratory.. MIT -- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 34 Β· πŸ“¦ 2.2K Β· πŸ“‹ 750 - 26% open Β· ⏱️ 08.01.2024): +- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 35 Β· πŸ“¦ 2.2K Β· πŸ“‹ 750 - 26% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/ydataai/pandas-profiling ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 560K / month Β· πŸ“¦ 200 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 540K / month Β· πŸ“¦ 200 Β· ⏱️ 03.02.2023): ``` pip install pandas-profiling ``` @@ -930,12 +919,12 @@ _General-purpose and task-specific data visualization libraries._
HoloViews (πŸ₯ˆ37 Β· ⭐ 2.6K) - With Holoviews, your data visualizes itself. BSD-3 -- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“¦ 9K Β· πŸ“‹ 3.1K - 32% open Β· ⏱️ 22.12.2023): +- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“¦ 9.1K Β· πŸ“‹ 3.2K - 33% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/holoviz/holoviews ``` -- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 280K / month Β· πŸ“¦ 270 Β· ⏱️ 14.12.2023): +- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 300K / month Β· πŸ“¦ 280 Β· ⏱️ 14.12.2023): ``` pip install holoviews ``` @@ -943,14 +932,14 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge holoviews ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 400 / month Β· πŸ“¦ 3 Β· ⏱️ 16.08.2023): +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 540 / month Β· πŸ“¦ 3 Β· ⏱️ 15.01.2024): ``` npm install @pyviz/jupyterlab_pyviz ```
plotnine (πŸ₯ˆ36 Β· ⭐ 3.7K) - A Grammar of Graphics for Python. MIT -- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 210 Β· πŸ“¦ 6.6K Β· πŸ“‹ 600 - 12% open Β· ⏱️ 08.01.2024): +- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 210 Β· πŸ“¦ 6.6K Β· πŸ“‹ 600 - 12% open Β· ⏱️ 12.01.2024): ``` git clone https://github.com/has2k1/plotnine @@ -964,14 +953,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge plotnine ```
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PyQtGraph (πŸ₯ˆ36 Β· ⭐ 3.5K) - Fast data visualization and GUI tools for scientific / engineering.. MIT +
PyQtGraph (πŸ₯ˆ36 Β· ⭐ 3.6K) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 1K Β· πŸ“¦ 8.6K Β· πŸ“‹ 1.2K - 29% open Β· ⏱️ 21.12.2023): +- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 1K Β· πŸ“¦ 8.6K Β· πŸ“‹ 1.2K - 29% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/pyqtgraph/pyqtgraph ``` -- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 120K / month Β· πŸ“¦ 970 Β· ⏱️ 14.04.2023): +- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 110K / month Β· πŸ“¦ 970 Β· ⏱️ 14.04.2023): ``` pip install pyqtgraph ``` @@ -987,7 +976,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/vispy/vispy ``` -- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 56K / month Β· πŸ“¦ 140 Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 54K / month Β· πŸ“¦ 140 Β· ⏱️ 03.10.2023): ``` pip install vispy ``` @@ -995,7 +984,7 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge vispy ``` -- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 10 / month Β· πŸ“¦ 2 Β· ⏱️ 15.03.2020): +- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 15 / month Β· πŸ“¦ 2 Β· ⏱️ 15.03.2020): ``` npm install vispy ``` @@ -1007,7 +996,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/xflr6/graphviz ``` -- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 6.8M / month Β· πŸ“¦ 3.5K Β· ⏱️ 23.07.2022): +- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 6.6M / month Β· πŸ“¦ 3.5K Β· ⏱️ 23.07.2022): ``` pip install graphviz ``` @@ -1032,42 +1021,58 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge wordcloud ```
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FiftyOne (πŸ₯ˆ35 Β· ⭐ 6.2K) - Visualize, create, and debug image and video datasets.. Apache-2 +
FiftyOne (πŸ₯ˆ35 Β· ⭐ 6.3K) - Visualize, create, and debug image and video datasets.. Apache-2 -- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 450 Β· πŸ“¦ 470 Β· πŸ“‹ 1.4K - 32% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 440 Β· πŸ“¦ 470 Β· πŸ“‹ 1.4K - 29% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/voxel51/fiftyone ``` -- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 84K / month Β· πŸ“¦ 11 Β· ⏱️ 21.12.2023): +- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 83K / month): ``` pip install fiftyone ```
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PyVista (πŸ₯ˆ35 Β· ⭐ 2.1K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT +
PyVista (πŸ₯ˆ35 Β· ⭐ 2.2K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT -- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 400 Β· πŸ“₯ 790 Β· πŸ“¦ 2.5K Β· πŸ“‹ 1.4K - 29% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 410 Β· πŸ“₯ 790 Β· πŸ“¦ 2.6K Β· πŸ“‹ 1.5K - 30% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/pyvista/pyvista ``` -- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 140K / month Β· πŸ“¦ 250 Β· ⏱️ 14.12.2023): +- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 150K / month Β· πŸ“¦ 250 Β· ⏱️ 14.01.2024): ``` pip install pyvista ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 430K Β· ⏱️ 14.12.2023): +- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 430K Β· ⏱️ 14.01.2024): ``` conda install -c conda-forge pyvista ```
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UMAP (πŸ₯ˆ33 Β· ⭐ 6.7K Β· πŸ“ˆ) - Uniform Manifold Approximation and Projection. BSD-3 + +- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 750 Β· πŸ“¦ 1 Β· πŸ“‹ 770 - 57% open Β· ⏱️ 08.01.2024): + + ``` + git clone https://github.com/lmcinnes/umap + ``` +- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 670K / month Β· πŸ“¦ 550 Β· ⏱️ 18.11.2023): + ``` + pip install umap-learn + ``` +- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 2.3M Β· ⏱️ 18.11.2023): + ``` + conda install -c conda-forge umap-learn + ``` +
datashader (πŸ₯ˆ33 Β· ⭐ 3.1K) - Quickly and accurately render even the largest data. BSD-3 -- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 360 Β· πŸ“¦ 3.4K Β· πŸ“‹ 570 - 22% open Β· ⏱️ 08.01.2024): +- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 370 Β· πŸ“¦ 3.5K Β· πŸ“‹ 570 - 23% open Β· ⏱️ 08.01.2024): ``` git clone https://github.com/holoviz/datashader ``` -- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 94K / month Β· πŸ“¦ 130 Β· ⏱️ 31.10.2023): +- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 76K / month Β· πŸ“¦ 130 Β· ⏱️ 31.10.2023): ``` pip install datashader ``` @@ -1083,7 +1088,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/mpld3/mpld3 ``` -- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 470K / month Β· πŸ“¦ 410 Β· ⏱️ 23.12.2023): +- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 490K / month Β· πŸ“¦ 410 Β· ⏱️ 23.12.2023): ``` pip install mpld3 ``` @@ -1091,19 +1096,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge mpld3 ``` -- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 560 / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): +- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 670 / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): ``` npm install mpld3 ```
Perspective (πŸ₯ˆ31 Β· ⭐ 7.1K) - A data visualization and analytics component, especially.. Apache-2 -- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 910 Β· πŸ“₯ 1.9K Β· πŸ“¦ 110 Β· πŸ“‹ 710 - 12% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 910 Β· πŸ“₯ 2K Β· πŸ“¦ 110 Β· πŸ“‹ 710 - 12% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 4.2K / month Β· πŸ“¦ 15 Β· ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 4.7K / month Β· πŸ“¦ 15 Β· ⏱️ 29.11.2023): ``` pip install perspective-python ``` @@ -1111,19 +1116,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge perspective ``` -- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 160 / month Β· πŸ“¦ 3 Β· ⏱️ 29.11.2023): +- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 120 / month Β· πŸ“¦ 3 Β· ⏱️ 29.11.2023): ``` npm install @finos/perspective-jupyterlab ```
D-Tale (πŸ₯ˆ31 Β· ⭐ 4.4K) - Visualizer for pandas data structures. ❗️LGPL-2.1 -- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 360 Β· πŸ“¦ 980 Β· πŸ“‹ 560 - 10% open Β· ⏱️ 05.01.2024): +- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 370 Β· πŸ“¦ 990 Β· πŸ“‹ 560 - 10% open Β· ⏱️ 05.01.2024): ``` git clone https://github.com/man-group/dtale ``` -- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 83K / month): +- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 90K / month Β· πŸ“¦ 23 Β· ⏱️ 05.01.2024): ``` pip install dtale ``` @@ -1134,28 +1139,28 @@ _General-purpose and task-specific data visualization libraries._
lets-plot (πŸ₯ˆ31 Β· ⭐ 1.3K) - Multiplatform plotting library based on Grammar of Graphics. MIT -- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 46 Β· πŸ“₯ 580 Β· πŸ“¦ 53 Β· πŸ“‹ 490 - 25% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 46 Β· πŸ“₯ 580 Β· πŸ“¦ 56 Β· πŸ“‹ 500 - 25% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/JetBrains/lets-plot ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 19K / month Β· πŸ“¦ 2 Β· ⏱️ 28.12.2023): +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 22K / month Β· πŸ“¦ 2 Β· ⏱️ 28.12.2023): ``` pip install lets-plot ```
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hvPlot (πŸ₯ˆ31 Β· ⭐ 870) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 +
hvPlot (πŸ₯ˆ31 Β· ⭐ 880) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 -- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 93 Β· πŸ“¦ 4.2K Β· πŸ“‹ 710 - 44% open Β· ⏱️ 22.12.2023): +- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 93 Β· πŸ“¦ 4.3K Β· πŸ“‹ 710 - 44% open Β· ⏱️ 22.12.2023): ``` git clone https://github.com/holoviz/hvplot ``` -- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 130K / month Β· πŸ“¦ 100 Β· ⏱️ 22.12.2023): +- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 140K / month Β· πŸ“¦ 100 Β· ⏱️ 22.12.2023): ``` pip install hvplot ``` -- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 510K Β· ⏱️ 22.12.2023): +- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 520K Β· ⏱️ 22.12.2023): ``` conda install -c conda-forge hvplot ``` @@ -1167,38 +1172,38 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/bqplot/bqplot ``` -- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 110K / month Β· πŸ“¦ 100 Β· ⏱️ 17.10.2023): +- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 100K / month Β· πŸ“¦ 100 Β· ⏱️ 17.10.2023): ``` pip install bqplot ``` -- [Conda](https://anaconda.org/conda-forge/bqplot) (πŸ“₯ 1.2M Β· ⏱️ 06.11.2023): +- [Conda](https://anaconda.org/conda-forge/bqplot) (πŸ“₯ 1.3M Β· ⏱️ 06.11.2023): ``` conda install -c conda-forge bqplot ``` -- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 2.8K / month Β· πŸ“¦ 17 Β· ⏱️ 17.10.2023): +- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 2.7K / month Β· πŸ“¦ 17 Β· ⏱️ 17.10.2023): ``` npm install bqplot ```
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AutoViz (πŸ₯‰29 Β· ⭐ 1.5K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 +
AutoViz (πŸ₯‰29 Β· ⭐ 1.6K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 - [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 200 Β· πŸ“¦ 600 Β· πŸ“‹ 84 - 1% open Β· ⏱️ 11.01.2024): ``` git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 330K / month Β· πŸ“¦ 7 Β· ⏱️ 11.01.2024): +- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 310K / month Β· πŸ“¦ 7 Β· ⏱️ 11.01.2024): ``` pip install autoviz ``` -- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 46K Β· ⏱️ 23.12.2023): +- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 46K Β· ⏱️ 12.01.2024): ``` conda install -c conda-forge autoviz ```
data-validation (πŸ₯‰29 Β· ⭐ 740) - Library for exploring and validating machine learning.. Apache-2 -- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 160 Β· πŸ“₯ 640 Β· πŸ“¦ 780 Β· πŸ“‹ 180 - 19% open Β· ⏱️ 08.01.2024): +- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 160 Β· πŸ“₯ 640 Β· πŸ“¦ 790 Β· πŸ“‹ 180 - 19% open Β· ⏱️ 08.01.2024): ``` git clone https://github.com/tensorflow/data-validation @@ -1215,35 +1220,19 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/pair-code/facets ``` -- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 160K / month Β· πŸ“¦ 8 Β· ⏱️ 24.05.2023): +- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 210K / month Β· πŸ“¦ 8 Β· ⏱️ 24.05.2023): ``` pip install facets-overview ```
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UMAP (πŸ₯‰28 Β· ⭐ 6.7K Β· πŸ“‰) - Uniform Manifold Approximation and Projection. BSD-3 - -- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 720 Β· πŸ“¦ 1 Β· πŸ“‹ 750 - 56% open Β· ⏱️ 08.01.2024): - - ``` - git clone https://github.com/lmcinnes/umap - ``` -- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 660K / month): - ``` - pip install umap-learn - ``` -- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 2.3M Β· ⏱️ 18.11.2023): - ``` - conda install -c conda-forge umap-learn - ``` -
missingno (πŸ₯‰28 Β· ⭐ 3.7K Β· πŸ’€) - Missing data visualization module for Python. MIT -- [GitHub](https://github.com/ResidentMario/missingno) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 450 Β· πŸ“¦ 14K Β· πŸ“‹ 130 - 6% open Β· ⏱️ 26.02.2023): +- [GitHub](https://github.com/ResidentMario/missingno) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 460 Β· πŸ“¦ 15K Β· πŸ“‹ 130 - 6% open Β· ⏱️ 26.02.2023): ``` git clone https://github.com/ResidentMario/missingno ``` -- [PyPi](https://pypi.org/project/missingno) (πŸ“₯ 310K / month): +- [PyPi](https://pypi.org/project/missingno) (πŸ“₯ 300K / month Β· πŸ“¦ 140 Β· ⏱️ 26.02.2023): ``` pip install missingno ``` @@ -1252,14 +1241,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge missingno ```
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Sweetviz (πŸ₯‰27 Β· ⭐ 2.7K) - Visualize and compare datasets, target values and associations, with one.. MIT +
Sweetviz (πŸ₯‰27 Β· ⭐ 2.8K) - Visualize and compare datasets, target values and associations, with one.. MIT - [GitHub](https://github.com/fbdesignpro/sweetviz) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 260 Β· πŸ“¦ 1.9K Β· πŸ“‹ 130 - 25% open Β· ⏱️ 29.11.2023): ``` git clone https://github.com/fbdesignpro/sweetviz ``` -- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 54K / month Β· πŸ“¦ 20 Β· ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 55K / month Β· πŸ“¦ 20 Β· ⏱️ 29.11.2023): ``` pip install sweetviz ``` @@ -1270,12 +1259,12 @@ _General-purpose and task-specific data visualization libraries._
openTSNE (πŸ₯‰27 Β· ⭐ 1.3K) - Extensible, parallel implementations of t-SNE. BSD-3 -- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 150 Β· πŸ“¦ 710 Β· πŸ“‹ 130 - 1% open Β· ⏱️ 29.11.2023): +- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 160 Β· πŸ“¦ 710 Β· πŸ“‹ 130 - 1% open Β· ⏱️ 29.11.2023): ``` git clone https://github.com/pavlin-policar/openTSNE ``` -- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 21K / month): +- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 25K / month Β· πŸ“¦ 18 Β· ⏱️ 29.11.2023): ``` pip install opentsne ``` @@ -1291,7 +1280,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 3.2K / month Β· πŸ“¦ 10 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 3.1K / month Β· πŸ“¦ 10 Β· ⏱️ 12.10.2023): ``` pip install chartify ``` @@ -1307,7 +1296,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/jupyter-widgets/pythreejs ``` -- [PyPi](https://pypi.org/project/pythreejs) (πŸ“₯ 44K / month Β· πŸ“¦ 58 Β· ⏱️ 20.02.2023): +- [PyPi](https://pypi.org/project/pythreejs) (πŸ“₯ 42K / month Β· πŸ“¦ 58 Β· ⏱️ 20.02.2023): ``` pip install pythreejs ``` @@ -1315,19 +1304,35 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge pythreejs ``` -- [npm](https://www.npmjs.com/package/jupyter-threejs) (πŸ“₯ 2.6K / month Β· πŸ“¦ 12 Β· ⏱️ 20.02.2023): +- [npm](https://www.npmjs.com/package/jupyter-threejs) (πŸ“₯ 2.7K / month Β· πŸ“¦ 12 Β· ⏱️ 20.02.2023): ``` npm install jupyter-threejs ```
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Plotly-Resampler (πŸ₯‰26 Β· ⭐ 880) - Visualize large time series data with plotly.py. MIT + +- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 56 Β· πŸ“¦ 800 Β· πŸ“‹ 150 - 28% open Β· ⏱️ 14.01.2024): + + ``` + git clone https://github.com/predict-idlab/plotly-resampler + ``` +- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 370K / month Β· πŸ“¦ 11 Β· ⏱️ 14.01.2024): + ``` + pip install plotly-resampler + ``` +- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 33K Β· ⏱️ 08.12.2023): + ``` + conda install -c conda-forge plotly-resampler + ``` +
HiPlot (πŸ₯‰25 Β· ⭐ 2.6K) - HiPlot makes understanding high dimensional data easy. MIT -- [GitHub](https://github.com/facebookresearch/hiplot) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 130 Β· πŸ“¦ 370 Β· πŸ“‹ 89 - 17% open Β· ⏱️ 19.07.2023): +- [GitHub](https://github.com/facebookresearch/hiplot) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 140 Β· πŸ“¦ 370 Β· πŸ“‹ 91 - 19% open Β· ⏱️ 19.07.2023): ``` git clone https://github.com/facebookresearch/hiplot ``` -- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 24K / month): +- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 25K / month Β· πŸ“¦ 15 Β· ⏱️ 05.07.2022): ``` pip install hiplot ``` @@ -1336,41 +1341,41 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge hiplot ```
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Plotly-Resampler (πŸ₯‰25 Β· ⭐ 880) - Visualize large time series data with plotly.py. MIT +
Multicore-TSNE (πŸ₯‰24 Β· ⭐ 1.8K) - Parallel t-SNE implementation with Python and Torch.. BSD-3 -- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 55 Β· πŸ“¦ 790 Β· πŸ“‹ 150 - 26% open Β· ⏱️ 08.01.2024): +- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 230 Β· πŸ“¦ 420 Β· πŸ“‹ 68 - 66% open Β· ⏱️ 12.01.2024): ``` - git clone https://github.com/predict-idlab/plotly-resampler + git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` -- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 350K / month): +- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 1.8K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): ``` - pip install plotly-resampler + pip install MulticoreTSNE ``` -- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 33K Β· ⏱️ 08.12.2023): +- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 31K Β· ⏱️ 11.10.2023): ``` - conda install -c conda-forge plotly-resampler + conda install -c conda-forge multicore-tsne ```
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Multicore-TSNE (πŸ₯‰23 Β· ⭐ 1.8K Β· πŸ’€) - Parallel t-SNE implementation with Python and Torch.. BSD-3 +
vega (πŸ₯‰24 Β· ⭐ 360) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 -- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 230 Β· πŸ“¦ 420 Β· πŸ“‹ 66 - 68% open Β· ⏱️ 26.05.2023): +- [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 62 Β· πŸ“¦ 4 Β· πŸ“‹ 100 - 12% open Β· ⏱️ 03.01.2024): ``` - git clone https://github.com/DmitryUlyanov/Multicore-TSNE + git clone https://github.com/vega/ipyvega ``` -- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 2.1K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): +- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 14K / month Β· πŸ“¦ 83 Β· ⏱️ 12.04.2023): ``` - pip install MulticoreTSNE + pip install vega ``` -- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 31K Β· ⏱️ 11.10.2023): +- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 570K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge multicore-tsne + conda install -c conda-forge vega ```
Pandas-Bokeh (πŸ₯‰23 Β· ⭐ 870 Β· πŸ’€) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT -- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 100 Β· πŸ“¦ 570 Β· πŸ“‹ 100 - 33% open Β· ⏱️ 06.03.2023): +- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 110 Β· πŸ“¦ 570 Β· πŸ“‹ 100 - 33% open Β· ⏱️ 06.03.2023): ``` git clone https://github.com/PatrikHlobil/Pandas-Bokeh @@ -1396,20 +1401,20 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge python-ternary ```
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vega (πŸ₯‰22 Β· ⭐ 360) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 +
PDPbox (πŸ₯‰20 Β· ⭐ 800 Β· πŸ’€) - python partial dependence plot toolbox. MIT -- [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 60 Β· πŸ“¦ 4 Β· πŸ“‹ 100 - 10% open Β· ⏱️ 03.01.2024): +- [GitHub](https://github.com/SauceCat/PDPbox) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 130 Β· πŸ“‹ 66 - 40% open Β· ⏱️ 05.06.2023): ``` - git clone https://github.com/vega/ipyvega + git clone https://github.com/SauceCat/PDPbox ``` -- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 9.6K / month): +- [PyPi](https://pypi.org/project/pdpbox) (πŸ“₯ 21K / month Β· πŸ“¦ 26 Β· ⏱️ 14.03.2021): ``` - pip install vega + pip install pdpbox ``` -- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 570K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pdpbox) (πŸ“₯ 20K Β· ⏱️ 10.06.2023): ``` - conda install -c conda-forge vega + conda install -c conda-forge pdpbox ```
Popmon (πŸ₯‰20 Β· ⭐ 480) - Monitor the stability of a Pandas or Spark dataframe. MIT @@ -1419,42 +1424,26 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/ing-bank/popmon ``` -- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 6.6K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 6.2K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): ``` pip install popmon ```
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ivis (πŸ₯‰20 Β· ⭐ 310) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 +
ivis (πŸ₯‰19 Β· ⭐ 310) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 - [GitHub](https://github.com/beringresearch/ivis) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 42 Β· πŸ“¦ 31 Β· πŸ“‹ 59 - 5% open Β· ⏱️ 09.11.2023): ``` git clone https://github.com/beringresearch/ivis ``` -- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 230 / month Β· πŸ“¦ 2 Β· ⏱️ 10.03.2022): +- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 290 / month): ``` pip install ivis ```
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PDPbox (πŸ₯‰18 Β· ⭐ 800 Β· πŸ’€) - python partial dependence plot toolbox. MIT - -- [GitHub](https://github.com/SauceCat/PDPbox) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 130 Β· πŸ“‹ 66 - 40% open Β· ⏱️ 05.06.2023): - - ``` - git clone https://github.com/SauceCat/PDPbox - ``` -- [PyPi](https://pypi.org/project/pdpbox) (πŸ“₯ 22K / month): - ``` - pip install pdpbox - ``` -- [Conda](https://anaconda.org/conda-forge/pdpbox) (πŸ“₯ 20K Β· ⏱️ 10.06.2023): - ``` - conda install -c conda-forge pdpbox - ``` -
Show 13 hidden projects... -- cartopy (πŸ₯ˆ34 Β· ⭐ 1.3K) - Cartopy - a cartographic python library with matplotlib support. ❗️LGPL-3.0 +- cartopy (πŸ₯ˆ33 Β· ⭐ 1.3K) - Cartopy - a cartographic python library with matplotlib support. ❗️LGPL-3.0 - Cufflinks (πŸ₯‰29 Β· ⭐ 2.9K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT - HyperTools (πŸ₯‰25 Β· ⭐ 1.8K Β· πŸ’€) - A Python toolbox for gaining geometric insights into high-.. MIT - PandasGUI (πŸ₯‰24 Β· ⭐ 3.1K) - A GUI for Pandas DataFrames. ❗️MIT-0 @@ -1466,7 +1455,7 @@ _General-purpose and task-specific data visualization libraries._ - pdvega (πŸ₯‰16 Β· ⭐ 340 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT - data-describe (πŸ₯‰16 Β· ⭐ 300 Β· πŸ’€) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 - nx-altair (πŸ₯‰15 Β· ⭐ 220 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT -- nptsne (πŸ₯‰9 Β· ⭐ 32 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2 +- nptsne (πŸ₯‰11 Β· ⭐ 32 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2

@@ -1476,22 +1465,6 @@ _General-purpose and task-specific data visualization libraries._ _Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation._ -
transformers (πŸ₯‡50 Β· ⭐ 120K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 - -- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.3K Β· πŸ”€ 24K Β· πŸ“¦ 130K Β· πŸ“‹ 14K - 6% open Β· ⏱️ 11.01.2024): - - ``` - git clone https://github.com/huggingface/transformers - ``` -- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 18M / month Β· πŸ“¦ 2.7K Β· ⏱️ 18.12.2023): - ``` - pip install transformers - ``` -- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 1.5M Β· ⏱️ 19.12.2023): - ``` - conda install -c conda-forge transformers - ``` -
spaCy (πŸ₯‡44 Β· ⭐ 28K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT - [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 750 Β· πŸ”€ 4.4K Β· πŸ“¦ 78K Β· πŸ“‹ 5.5K - 1% open Β· ⏱️ 02.01.2024): @@ -1499,7 +1472,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 5.6M / month Β· πŸ“¦ 2.9K Β· ⏱️ 16.10.2023): +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 5.4M / month Β· πŸ“¦ 2.9K Β· ⏱️ 16.10.2023): ``` pip install spacy ``` @@ -1508,14 +1481,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge spacy ```
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nltk (πŸ₯‡43 Β· ⭐ 13K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 +
nltk (πŸ₯‡42 Β· ⭐ 13K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 -- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 2.8K Β· πŸ“¦ 240K Β· πŸ“‹ 1.8K - 15% open Β· ⏱️ 24.12.2023): +- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 2.7K Β· πŸ“¦ 250K Β· πŸ“‹ 1.8K - 14% open Β· ⏱️ 24.12.2023): ``` git clone https://github.com/nltk/nltk ``` -- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 12M / month Β· πŸ“¦ 13K Β· ⏱️ 20.07.2023): +- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 12M / month): ``` pip install nltk ``` @@ -1531,7 +1504,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/RasaHQ/rasa ``` -- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 150K / month Β· πŸ“¦ 67 Β· ⏱️ 05.12.2023): +- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 160K / month Β· πŸ“¦ 67 Β· ⏱️ 05.12.2023): ``` pip install rasa ``` @@ -1543,7 +1516,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/RaRe-Technologies/gensim ``` -- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 3.6M / month Β· πŸ“¦ 3.2K Β· ⏱️ 24.08.2023): +- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 3.5M / month Β· πŸ“¦ 3.2K Β· ⏱️ 24.08.2023): ``` pip install gensim ``` @@ -1559,7 +1532,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/flairNLP/flair ``` -- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 120K / month Β· πŸ“¦ 95 Β· ⏱️ 18.12.2023): +- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 120K / month Β· πŸ“¦ 96 Β· ⏱️ 18.12.2023): ``` pip install flair ``` @@ -1570,12 +1543,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
sentence-transformers (πŸ₯‡38 Β· ⭐ 13K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 -- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.2K Β· πŸ“¦ 22K Β· πŸ“‹ 1.9K - 55% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.2K Β· πŸ“¦ 23K Β· πŸ“‹ 1.9K - 54% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/UKPLab/sentence-transformers ``` -- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 2.8M / month Β· πŸ“¦ 650 Β· ⏱️ 26.06.2022): +- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 2.8M / month Β· πŸ“¦ 660 Β· ⏱️ 26.06.2022): ``` pip install sentence-transformers ``` @@ -1586,7 +1559,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Tokenizers (πŸ₯‡37 Β· ⭐ 8K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 -- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 670 Β· πŸ“₯ 33 Β· πŸ“¦ 56K Β· πŸ“‹ 930 - 31% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 670 Β· πŸ“₯ 33 Β· πŸ“¦ 57K Β· πŸ“‹ 940 - 31% open Β· ⏱️ 11.01.2024): ``` git clone https://github.com/huggingface/tokenizers @@ -1602,7 +1575,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
sentencepiece (πŸ₯‡36 Β· ⭐ 8.8K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 -- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 1K Β· πŸ“₯ 33K Β· πŸ“¦ 52K Β· πŸ“‹ 690 - 4% open Β· ⏱️ 07.01.2024): +- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 1K Β· πŸ“₯ 33K Β· πŸ“¦ 52K Β· πŸ“‹ 690 - 4% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/google/sentencepiece @@ -1630,56 +1603,56 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
fairseq (πŸ₯‡35 Β· ⭐ 28K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT -- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 6.1K Β· πŸ“₯ 330 Β· πŸ“¦ 2.5K Β· πŸ“‹ 4.1K - 26% open Β· ⏱️ 08.01.2024): +- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 6.1K Β· πŸ“₯ 330 Β· πŸ“¦ 2.6K Β· πŸ“‹ 4.1K - 26% open Β· ⏱️ 08.01.2024): ``` git clone https://github.com/facebookresearch/fairseq ``` -- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 410K / month Β· πŸ“¦ 73 Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 400K / month Β· πŸ“¦ 73 Β· ⏱️ 27.06.2022): ``` pip install fairseq ``` -- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 58K Β· ⏱️ 03.12.2023): +- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 59K Β· ⏱️ 03.12.2023): ``` conda install -c conda-forge fairseq ```
fastText (πŸ₯‡35 Β· ⭐ 25K) - Library for fast text representation and classification. MIT -- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 4.6K Β· πŸ“¦ 5.4K Β· πŸ“‹ 1.2K - 47% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 4.6K Β· πŸ“¦ 5.5K Β· πŸ“‹ 1.2K - 47% open Β· ⏱️ 09.01.2024): ``` git clone https://github.com/facebookresearch/fastText ``` -- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 910K / month Β· πŸ“¦ 220 Β· ⏱️ 28.04.2020): +- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 930K / month Β· πŸ“¦ 220 Β· ⏱️ 28.04.2020): ``` pip install fasttext ``` -- [Conda](https://anaconda.org/conda-forge/fasttext) (πŸ“₯ 72K Β· ⏱️ 26.09.2023): +- [Conda](https://anaconda.org/conda-forge/fasttext) (πŸ“₯ 73K Β· ⏱️ 26.09.2023): ``` conda install -c conda-forge fasttext ```
haystack (πŸ₯‡35 Β· ⭐ 12K) - LLM orchestration framework to build customizable, production-ready.. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.5K Β· πŸ“₯ 23 Β· πŸ“¦ 69 Β· πŸ“‹ 2.8K - 11% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.5K Β· πŸ“₯ 23 Β· πŸ“¦ 78 Β· πŸ“‹ 2.8K - 12% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/deepset-ai/haystack ``` -- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 2.3K / month): +- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 2.4K / month Β· πŸ“¦ 87 Β· ⏱️ 15.12.2021): ``` pip install haystack ```
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NeMo (πŸ₯‡35 Β· ⭐ 8.9K) - NeMo: a toolkit for conversational AI. Apache-2 +
NeMo (πŸ₯‡35 Β· ⭐ 9K) - NeMo: a toolkit for conversational AI. Apache-2 -- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 1.9K Β· πŸ“₯ 120K Β· πŸ“¦ 21 Β· πŸ“‹ 1.9K - 2% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2K Β· πŸ“₯ 52K Β· πŸ“¦ 21 Β· πŸ“‹ 1.9K - 4% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/NVIDIA/NeMo ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 35K / month): +- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 37K / month Β· πŸ“¦ 10 Β· ⏱️ 10.01.2024): ``` pip install nemo-toolkit ``` @@ -1700,14 +1673,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge textblob ```
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litellm (πŸ₯‡35 Β· ⭐ 4.4K Β· 🐣) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s +
litellm (πŸ₯‡35 Β· ⭐ 4.6K Β· 🐣) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s -- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 420 Β· πŸ“¦ 720 Β· πŸ“‹ 1.1K - 15% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 440 Β· πŸ“¦ 760 Β· πŸ“‹ 1.2K - 16% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/BerriAI/litellm ``` -- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 190K / month): +- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 200K / month Β· πŸ“¦ 56 Β· ⏱️ 18.01.2024): ``` pip install litellm ``` @@ -1719,7 +1692,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/stanfordnlp/stanza ``` -- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 150K / month Β· πŸ“¦ 94 Β· ⏱️ 03.12.2023): +- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 140K / month Β· πŸ“¦ 94 Β· ⏱️ 03.12.2023): ``` pip install stanza ``` @@ -1730,24 +1703,24 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
OpenNMT (πŸ₯ˆ34 Β· ⭐ 6.4K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT -- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.2K Β· πŸ“¦ 250 Β· πŸ“‹ 1.4K - 1% open Β· ⏱️ 05.01.2024): +- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.2K Β· πŸ“¦ 250 Β· πŸ“‹ 1.4K - 1% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/OpenNMT/OpenNMT-py ``` -- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 4.6K / month Β· πŸ“¦ 10 Β· ⏱️ 02.11.2023): +- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 4.8K / month Β· πŸ“¦ 10 Β· ⏱️ 02.11.2023): ``` pip install OpenNMT-py ```
rubrix (πŸ₯ˆ34 Β· ⭐ 2.8K) - Argilla: the open-source feedback platform for LLMs. Apache-2 -- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 280 Β· πŸ“¦ 2.2K Β· πŸ“‹ 1.8K - 10% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 280 Β· πŸ“¦ 2.2K Β· πŸ“‹ 1.8K - 10% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/recognai/rubrix ``` -- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 370 / month Β· ⏱️ 24.10.2022): +- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 400 / month Β· ⏱️ 24.10.2022): ``` pip install rubrix ``` @@ -1763,19 +1736,35 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/tensorflow/text ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 3.8M / month Β· πŸ“¦ 140 Β· ⏱️ 15.11.2023): +- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 4.1M / month Β· πŸ“¦ 140 Β· ⏱️ 15.11.2023): ``` pip install tensorflow-text ```
+
transformers (πŸ₯ˆ33 Β· ⭐ 120K Β· πŸ“‰) - Transformers: State-of-the-art Machine Learning for.. Apache-2 + +- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 24K): + + ``` + git clone https://github.com/huggingface/transformers + ``` +- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 18M / month Β· πŸ“¦ 2.8K Β· ⏱️ 18.12.2023): + ``` + pip install transformers + ``` +- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 1.5M Β· ⏱️ 19.12.2023): + ``` + conda install -c conda-forge transformers + ``` +
torchtext (πŸ₯ˆ33 Β· ⭐ 3.4K) - Models, data loaders and abstractions for language processing,.. BSD-3 -- [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 820 Β· πŸ“‹ 820 - 37% open Β· ⏱️ 08.01.2024): +- [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 820 Β· πŸ“‹ 820 - 37% open Β· ⏱️ 13.01.2024): ``` git clone https://github.com/pytorch/text ``` -- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 310K / month Β· πŸ“¦ 490 Β· ⏱️ 14.12.2023): +- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 330K / month Β· πŸ“¦ 490 Β· ⏱️ 14.12.2023): ``` pip install torchtext ``` @@ -1787,7 +1776,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/jamesturk/jellyfish ``` -- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 2.4M / month Β· πŸ“¦ 450 Β· ⏱️ 17.11.2023): +- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 2.3M / month Β· πŸ“¦ 450 Β· ⏱️ 17.11.2023): ``` pip install jellyfish ``` @@ -1803,7 +1792,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/deepmipt/DeepPavlov ``` -- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 8.3K / month Β· πŸ“¦ 7 Β· ⏱️ 27.12.2023): +- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 8.4K / month Β· πŸ“¦ 7 Β· ⏱️ 27.12.2023): ``` pip install deeppavlov ``` @@ -1824,14 +1813,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge ftfy ```
-
snowballstemmer (πŸ₯ˆ32 Β· ⭐ 700 Β· πŸ“ˆ) - Snowball compiler and stemming algorithms. BSD-3 +
snowballstemmer (πŸ₯ˆ32 Β· ⭐ 700) - Snowball compiler and stemming algorithms. BSD-3 -- [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 170 Β· πŸ“¦ 5 Β· πŸ“‹ 89 - 34% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 170 Β· πŸ“¦ 5 Β· πŸ“‹ 90 - 34% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/snowballstem/snowball ``` -- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 8.6M / month Β· πŸ“¦ 6.8K Β· ⏱️ 16.11.2021): +- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 8.5M / month Β· πŸ“¦ 6.8K Β· ⏱️ 16.11.2021): ``` pip install snowballstemmer ``` @@ -1847,7 +1836,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/facebookresearch/ParlAI ``` -- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 1.8K / month Β· πŸ“¦ 5 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 2.7K / month Β· πŸ“¦ 5 Β· ⏱️ 20.09.2022): ``` pip install parlai ``` @@ -1859,7 +1848,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dedupeio/dedupe ``` -- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 57K / month Β· πŸ“¦ 49 Β· ⏱️ 17.02.2023): +- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 58K / month Β· πŸ“¦ 49 Β· ⏱️ 17.02.2023): ``` pip install dedupe ``` @@ -1875,7 +1864,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/explosion/spacy-transformers ``` -- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 170K / month Β· πŸ“¦ 45 Β· ⏱️ 19.12.2023): +- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 160K / month Β· πŸ“¦ 45 Β· ⏱️ 19.12.2023): ``` pip install spacy-transformers ``` @@ -1886,12 +1875,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
CLTK (πŸ₯ˆ30 Β· ⭐ 810) - The Classical Language Toolkit. MIT -- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 320 Β· πŸ“₯ 49 Β· πŸ“¦ 250 Β· πŸ“‹ 560 - 5% open Β· ⏱️ 27.12.2023): +- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 320 Β· πŸ“₯ 50 Β· πŸ“¦ 250 Β· πŸ“‹ 560 - 5% open Β· ⏱️ 27.12.2023): ``` git clone https://github.com/cltk/cltk ``` -- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 1.4K / month Β· πŸ“¦ 42 Β· ⏱️ 27.12.2023): +- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 1.3K / month Β· πŸ“¦ 42 Β· ⏱️ 27.12.2023): ``` pip install cltk ``` @@ -1912,9 +1901,9 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge textdistance ```
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qdrant (πŸ₯ˆ28 Β· ⭐ 15K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2 +
qdrant (πŸ₯ˆ28 Β· ⭐ 16K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2 -- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 880 Β· πŸ“₯ 8.1K Β· πŸ“‹ 880 - 16% open Β· ⏱️ 19.12.2023): +- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 900 Β· πŸ“₯ 8.8K Β· πŸ“‹ 890 - 16% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/qdrant/qdrant @@ -1927,7 +1916,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/miso-belica/sumy ``` -- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 55K / month Β· πŸ“¦ 110 Β· ⏱️ 23.10.2022): +- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 49K / month Β· πŸ“¦ 110 Β· ⏱️ 23.10.2022): ``` pip install sumy ``` @@ -1938,12 +1927,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Ciphey (πŸ₯ˆ27 Β· ⭐ 15K) - Automatically decrypt encryptions without knowing the key or cipher, decode.. MIT -- [GitHub](https://github.com/Ciphey/Ciphey) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 880 Β· πŸ“‹ 320 - 17% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/Ciphey/Ciphey) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 900 Β· πŸ“‹ 320 - 17% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/Ciphey/Ciphey ``` -- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 33K / month Β· ⏱️ 06.06.2021): +- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 31K / month Β· ⏱️ 06.06.2021): ``` pip install ciphey ``` @@ -1952,14 +1941,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we docker pull remnux/ciphey ```
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DeepKE (πŸ₯ˆ27 Β· ⭐ 2.6K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT +
DeepKE (πŸ₯ˆ27 Β· ⭐ 2.7K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT - [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 590 Β· πŸ“¦ 20 Β· πŸ“‹ 370 - 0% open Β· ⏱️ 10.01.2024): ``` git clone https://github.com/zjunlp/deepke ``` -- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 280 / month Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 420 / month Β· ⏱️ 21.09.2023): ``` pip install deepke ``` @@ -1978,31 +1967,31 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
SciSpacy (πŸ₯ˆ27 Β· ⭐ 1.5K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 -- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 210 Β· πŸ“¦ 820 Β· πŸ“‹ 310 - 10% open Β· ⏱️ 20.10.2023): +- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 210 Β· πŸ“¦ 820 Β· πŸ“‹ 300 - 8% open Β· ⏱️ 20.10.2023): ``` git clone https://github.com/allenai/scispacy ``` -- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 22K / month Β· πŸ“¦ 30 Β· ⏱️ 30.09.2023): +- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 23K / month): ``` pip install scispacy ```
OpenPrompt (πŸ₯‰25 Β· ⭐ 4K Β· πŸ’€) - An Open-Source Framework for Prompt-Learning. Apache-2 -- [GitHub](https://github.com/thunlp/OpenPrompt) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 420 Β· πŸ“¦ 94 Β· πŸ“‹ 250 - 29% open Β· ⏱️ 06.05.2023): +- [GitHub](https://github.com/thunlp/OpenPrompt) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 420 Β· πŸ“¦ 95 Β· πŸ“‹ 250 - 29% open Β· ⏱️ 06.05.2023): ``` git clone https://github.com/thunlp/OpenPrompt ``` -- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 1K / month Β· πŸ“¦ 2 Β· ⏱️ 06.07.2022): +- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 820 / month Β· πŸ“¦ 2 Β· ⏱️ 06.07.2022): ``` pip install openprompt ```
scattertext (πŸ₯‰25 Β· ⭐ 2.2K) - Beautiful visualizations of how language differs among document.. Apache-2 -- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 280 Β· πŸ“¦ 480 Β· πŸ“‹ 99 - 21% open Β· ⏱️ 05.09.2023): +- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 280 Β· πŸ“¦ 490 Β· πŸ“‹ 99 - 21% open Β· ⏱️ 05.09.2023): ``` git clone https://github.com/JasonKessler/scattertext @@ -2023,7 +2012,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/google-research/text-to-text-transfer-transformer ``` -- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 17K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): +- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 14K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): ``` pip install t5 ``` @@ -2035,14 +2024,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/PetrochukM/PyTorch-NLP ``` -- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 4K / month Β· πŸ“¦ 19 Β· ⏱️ 04.11.2019): +- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 3.7K / month Β· πŸ“¦ 19 Β· ⏱️ 04.11.2019): ``` pip install pytorch-nlp ```
sense2vec (πŸ₯‰24 Β· ⭐ 1.6K Β· πŸ’€) - Contextually-keyed word vectors. MIT -- [GitHub](https://github.com/explosion/sense2vec) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 240 Β· πŸ“₯ 61K Β· πŸ“¦ 310 Β· πŸ“‹ 110 - 19% open Β· ⏱️ 20.04.2023): +- [GitHub](https://github.com/explosion/sense2vec) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 240 Β· πŸ“₯ 61K Β· πŸ“¦ 320 Β· πŸ“‹ 110 - 19% open Β· ⏱️ 20.04.2023): ``` git clone https://github.com/explosion/sense2vec @@ -2063,19 +2052,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/jbesomi/texthero ``` -- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 9.2K / month Β· πŸ“¦ 6 Β· ⏱️ 01.07.2021): +- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 9K / month Β· πŸ“¦ 6 Β· ⏱️ 01.07.2021): ``` pip install texthero ```
promptsource (πŸ₯‰23 Β· ⭐ 2.3K) - Toolkit for creating, sharing and using natural language.. Apache-2 -- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 300 Β· πŸ“¦ 76 Β· πŸ“‹ 200 - 24% open Β· ⏱️ 23.10.2023): +- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 300 Β· πŸ“¦ 77 Β· πŸ“‹ 200 - 24% open Β· ⏱️ 23.10.2023): ``` git clone https://github.com/bigscience-workshop/promptsource ``` -- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 390 / month Β· πŸ“¦ 1 Β· ⏱️ 18.04.2022): +- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 370 / month Β· πŸ“¦ 1 Β· ⏱️ 18.04.2022): ``` pip install promptsource ``` @@ -2087,7 +2076,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/vkcom/youtokentome ``` -- [PyPi](https://pypi.org/project/youtokentome) (πŸ“₯ 26K / month Β· πŸ“¦ 23 Β· ⏱️ 12.02.2020): +- [PyPi](https://pypi.org/project/youtokentome) (πŸ“₯ 27K / month Β· πŸ“¦ 23 Β· ⏱️ 12.02.2020): ``` pip install youtokentome ``` @@ -2098,7 +2087,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
detoxify (πŸ₯‰23 Β· ⭐ 780) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 -- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 100 Β· πŸ“₯ 350K Β· πŸ“¦ 500 Β· πŸ“‹ 59 - 59% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 100 Β· πŸ“₯ 360K Β· πŸ“¦ 500 Β· πŸ“‹ 59 - 59% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/unitaryai/detoxify @@ -2115,7 +2104,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/EricFillion/happy-transformer ``` -- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 2.1K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): +- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 2.5K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): ``` pip install happytransformer ``` @@ -2127,7 +2116,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/webis-de/small-text ``` -- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 560 / month): +- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 580 / month Β· ⏱️ 29.12.2023): ``` pip install small-text ``` @@ -2136,81 +2125,81 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge small-text ```
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UForm (πŸ₯‰21 Β· ⭐ 720) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 +
fast-bert (πŸ₯‰21 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 -- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 32 Β· πŸ“¦ 13 Β· πŸ“‹ 13 - 7% open Β· ⏱️ 29.12.2023): +- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 340 Β· πŸ“‹ 250 - 62% open Β· ⏱️ 27.07.2023): ``` - git clone https://github.com/unum-cloud/uform + git clone https://github.com/utterworks/fast-bert ``` -- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 1.7K / month Β· ⏱️ 29.12.2023): +- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 27.07.2023): ``` - pip install uform + pip install fast-bert ```
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lightseq (πŸ₯‰20 Β· ⭐ 3K Β· πŸ’€) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2 +
Sockeye (πŸ₯‰21 Β· ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 -- [GitHub](https://github.com/bytedance/lightseq) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 320 Β· πŸ“₯ 670 Β· πŸ“‹ 280 - 61% open Β· ⏱️ 10.05.2023): +- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 330 Β· πŸ“₯ 17 Β· πŸ“‹ 300 - 1% open Β· ⏱️ 17.10.2023): ``` - git clone https://github.com/bytedance/lightseq + git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 03.03.2023): ``` - pip install lightseq + pip install sockeye ```
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fast-bert (πŸ₯‰20 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 +
UForm (πŸ₯‰21 Β· ⭐ 740) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 -- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 340 Β· πŸ“‹ 250 - 62% open Β· ⏱️ 27.07.2023): +- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 34 Β· πŸ“¦ 14 Β· πŸ“‹ 13 - 7% open Β· ⏱️ 29.12.2023): ``` - git clone https://github.com/utterworks/fast-bert + git clone https://github.com/unum-cloud/uform ``` -- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 940 / month Β· πŸ“¦ 2 Β· ⏱️ 27.07.2023): +- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 1.9K / month Β· ⏱️ 29.12.2023): ``` - pip install fast-bert + pip install uform ```
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Sockeye (πŸ₯‰20 Β· ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 +
finetune (πŸ₯‰21 Β· ⭐ 700) - Scikit-learn style model finetuning for NLP. MPL-2.0 -- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 330 Β· πŸ“₯ 17 Β· πŸ“‹ 300 - 1% open Β· ⏱️ 17.10.2023): +- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 79 Β· πŸ“¦ 11 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 08.01.2024): ``` - git clone https://github.com/awslabs/sockeye + git clone https://github.com/IndicoDataSolutions/finetune ``` -- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 980 / month Β· πŸ“¦ 2 Β· ⏱️ 03.03.2023): +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 57 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): ``` - pip install sockeye + pip install finetune ```
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finetune (πŸ₯‰20 Β· ⭐ 700) - Scikit-learn style model finetuning for NLP. MPL-2.0 +
lightseq (πŸ₯‰20 Β· ⭐ 3K Β· πŸ’€) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2 -- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 78 Β· πŸ“¦ 11 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 08.01.2024): +- [GitHub](https://github.com/bytedance/lightseq) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 320 Β· πŸ“₯ 670 Β· πŸ“‹ 280 - 61% open Β· ⏱️ 10.05.2023): ``` - git clone https://github.com/IndicoDataSolutions/finetune + git clone https://github.com/bytedance/lightseq ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 16 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): ``` - pip install finetune + pip install lightseq ```
textaugment (πŸ₯‰20 Β· ⭐ 360) - TextAugment: Text Augmentation Library. MIT -- [GitHub](https://github.com/dsfsi/textaugment) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 58 Β· πŸ“₯ 64 Β· πŸ“¦ 71 Β· πŸ“‹ 29 - 37% open Β· ⏱️ 17.11.2023): +- [GitHub](https://github.com/dsfsi/textaugment) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 58 Β· πŸ“₯ 64 Β· πŸ“¦ 72 Β· πŸ“‹ 29 - 37% open Β· ⏱️ 17.11.2023): ``` git clone https://github.com/dsfsi/textaugment ``` -- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 4K / month Β· πŸ“¦ 4 Β· ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 4.1K / month Β· πŸ“¦ 4 Β· ⏱️ 16.11.2023): ``` pip install textaugment ```
-
OpenNRE (πŸ₯‰18 Β· ⭐ 4.2K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT +
OpenNRE (πŸ₯‰19 Β· ⭐ 4.2K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT -- [GitHub](https://github.com/thunlp/OpenNRE) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 1K Β· πŸ“¦ 1 Β· πŸ“‹ 360 - 3% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/thunlp/OpenNRE) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 1K Β· πŸ“¦ 3 Β· πŸ“‹ 360 - 3% open Β· ⏱️ 10.01.2024): ``` git clone https://github.com/thunlp/OpenNRE @@ -2228,14 +2217,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install textbox ```
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VizSeq (πŸ₯‰14 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT +
VizSeq (πŸ₯‰12 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT -- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 58 Β· πŸ“¦ 9 Β· πŸ“‹ 16 - 43% open Β· ⏱️ 27.10.2023): +- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 58 Β· πŸ“¦ 9 Β· πŸ“‹ 15 - 40% open Β· ⏱️ 27.10.2023): ``` git clone https://github.com/facebookresearch/vizseq ``` -- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 100 / month Β· ⏱️ 07.08.2020): +- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 130 / month): ``` pip install vizseq ``` @@ -2246,25 +2235,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - AllenNLP (πŸ₯‡35 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 - fuzzywuzzy (πŸ₯ˆ33 Β· ⭐ 9K Β· πŸ’€) - Fuzzy String Matching in Python. ❗️GPL-2.0 - nlpaug (πŸ₯ˆ29 Β· ⭐ 4.2K Β· πŸ’€) - Data augmentation for NLP. MIT -- GluonNLP (πŸ₯ˆ29 Β· ⭐ 2.6K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 - english-words (πŸ₯ˆ28 Β· ⭐ 9.7K Β· πŸ’€) - A text file containing 479k English words for all your.. Unlicense - langid (πŸ₯ˆ28 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. BSD-3 +- vaderSentiment (πŸ₯ˆ27 Β· ⭐ 4.2K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT - fastNLP (πŸ₯ˆ27 Β· ⭐ 3K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 - polyglot (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - textacy (πŸ₯ˆ27 Β· ⭐ 2.1K Β· πŸ’€) - NLP, before and after spaCy. ❗Unlicensed - underthesea (πŸ₯ˆ27 Β· ⭐ 1.3K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 - flashtext (πŸ₯‰26 Β· ⭐ 5.5K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT -- vaderSentiment (πŸ₯‰25 Β· ⭐ 4.2K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT -- Snips NLU (πŸ₯‰25 Β· ⭐ 3.8K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 +- GluonNLP (πŸ₯‰26 Β· ⭐ 2.6K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 +- Snips NLU (πŸ₯‰25 Β· ⭐ 3.9K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 - neuralcoref (πŸ₯‰25 Β· ⭐ 2.8K Β· πŸ’€) - Fast Coreference Resolution in spaCy with Neural Networks. MIT - whoosh (πŸ₯‰25 Β· ⭐ 500 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause - PyText (πŸ₯‰24 Β· ⭐ 6.4K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 - textgenrnn (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ’€) - Easily train your own text-generating neural network of any.. MIT +- MatchZoo (πŸ₯‰24 Β· ⭐ 3.8K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 +- FARM (πŸ₯‰24 Β· ⭐ 1.7K Β· πŸ’€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 - pySBD (πŸ₯‰24 Β· ⭐ 690 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT -- MatchZoo (πŸ₯‰23 Β· ⭐ 3.8K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 - Kashgari (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Kashgari is a production-level NLP Transfer learning.. Apache-2 -- FARM (πŸ₯‰23 Β· ⭐ 1.7K Β· πŸ’€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 - DeepMatcher (πŸ₯‰22 Β· ⭐ 4.9K Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 +- gpt-2-simple (πŸ₯‰22 Β· ⭐ 3.4K Β· πŸ’€) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT - Texar (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 - jiant (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - jiant is an nlp toolkit. MIT - stop-words (πŸ₯‰22 Β· ⭐ 150 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 @@ -2273,21 +2263,20 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - DELTA (πŸ₯‰20 Β· ⭐ 1.6K Β· πŸ’€) - DELTA is a deep learning based natural language and speech.. Apache-2 - pyfasttext (πŸ₯‰20 Β· ⭐ 230 Β· πŸ’€) - Yet another Python binding for fastText. ❗️GPL-3.0 - numerizer (πŸ₯‰20 Β· ⭐ 210 Β· πŸ’€) - A Python module to convert natural language numerics into ints and.. MIT -- gpt-2-simple (πŸ₯‰19 Β· ⭐ 3.4K Β· πŸ’€) - Python package to easily retrain OpenAIs GPT-2 text-.. ❗Unlicensed +- fastT5 (πŸ₯‰19 Β· ⭐ 520 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - NeuroNER (πŸ₯‰18 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT -- fastT5 (πŸ₯‰18 Β· ⭐ 520 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - Camphr (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy +- textpipe (πŸ₯‰18 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. MIT - nboost (πŸ₯‰17 Β· ⭐ 670 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 -- textpipe (πŸ₯‰16 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. MIT - skift (πŸ₯‰16 Β· ⭐ 230 Β· πŸ’€) - scikit-learn wrappers for Python fastText. MIT - BLINK (πŸ₯‰15 Β· ⭐ 1.1K Β· πŸ’€) - Entity Linker solution. MIT - Translate (πŸ₯‰15 Β· ⭐ 810 Β· πŸ’€) - Translate - a PyTorch Language Library. BSD-3 -- Headliner (πŸ₯‰14 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. MIT -- NeuralQA (πŸ₯‰14 Β· ⭐ 230 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT +- Headliner (πŸ₯‰15 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. MIT - TransferNLP (πŸ₯‰13 Β· ⭐ 290 Β· πŸ’€) - NLP library designed for reproducible experimentation.. MIT - ONNX-T5 (πŸ₯‰13 Β· ⭐ 240 Β· πŸ’€) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 -- textvec (πŸ₯‰12 Β· ⭐ 190) - Text vectorization tool to outperform TFIDF for classification tasks. MIT +- NeuralQA (πŸ₯‰13 Β· ⭐ 230 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT - spacy-dbpedia-spotlight (πŸ₯‰12 Β· ⭐ 97 Β· πŸ’€) - A spaCy wrapper for DBpedia Spotlight. MIT spacy +- textvec (πŸ₯‰11 Β· ⭐ 190) - Text vectorization tool to outperform TFIDF for classification tasks. MIT

@@ -2299,12 +2288,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (πŸ₯‡48 Β· ⭐ 11K) - Python Imaging Library (Fork). ❗️PIL -- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.5M Β· πŸ“‹ 3K - 3% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.5M Β· πŸ“‹ 3K - 3% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/python-pillow/Pillow ``` -- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 69M / month Β· πŸ“¦ 68K Β· ⏱️ 15.10.2023): +- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 70M / month Β· πŸ“¦ 68K Β· ⏱️ 15.10.2023): ``` pip install Pillow ``` @@ -2313,14 +2302,30 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge pillow ```
+
torchvision (πŸ₯‡42 Β· ⭐ 15K Β· πŸ“ˆ) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 + +- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 570 Β· πŸ”€ 6.9K Β· πŸ“₯ 36K Β· πŸ“¦ 21 Β· πŸ“‹ 3.3K - 29% open Β· ⏱️ 18.01.2024): + + ``` + git clone https://github.com/pytorch/vision + ``` +- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 9.9M / month Β· πŸ“¦ 5K Β· ⏱️ 14.12.2023): + ``` + pip install torchvision + ``` +- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 960K Β· ⏱️ 13.12.2023): + ``` + conda install -c conda-forge torchvision + ``` +
PyTorch Image Models (πŸ₯‡41 Β· ⭐ 28K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 -- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 4.5K Β· πŸ“₯ 6M Β· πŸ“¦ 21K Β· πŸ“‹ 830 - 7% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 4.5K Β· πŸ“₯ 6.1M Β· πŸ“¦ 22K Β· πŸ“‹ 830 - 8% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/rwightman/pytorch-image-models ``` -- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 3.6M / month Β· πŸ“¦ 370 Β· ⏱️ 24.11.2023): +- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 3.7M / month Β· πŸ“¦ 380 Β· ⏱️ 24.11.2023): ``` pip install timm ``` @@ -2331,7 +2336,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
MMDetection (πŸ₯‡39 Β· ⭐ 27K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 -- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 9.1K Β· πŸ“¦ 2.1K Β· πŸ“‹ 7.9K - 16% open Β· ⏱️ 05.01.2024): +- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 9.1K Β· πŸ“¦ 2.1K Β· πŸ“‹ 8K - 17% open Β· ⏱️ 05.01.2024): ``` git clone https://github.com/open-mmlab/mmdetection @@ -2341,30 +2346,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install mmdet ```
-
torchvision (πŸ₯‡38 Β· ⭐ 15K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 - -- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 570 Β· πŸ”€ 6.8K Β· πŸ“₯ 36K Β· πŸ“¦ 21 Β· πŸ“‹ 3.2K - 29% open Β· ⏱️ 11.01.2024): - - ``` - git clone https://github.com/pytorch/vision - ``` -- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 9.9M / month): - ``` - pip install torchvision - ``` -- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 960K Β· ⏱️ 13.12.2023): - ``` - conda install -c conda-forge torchvision - ``` -
Kornia (πŸ₯‡38 Β· ⭐ 9K) - Geometric Computer Vision Library for SpatialAI. Apache-2 -- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 910 Β· πŸ“₯ 900 Β· πŸ“¦ 7.9K Β· πŸ“‹ 870 - 31% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 910 Β· πŸ“₯ 910 Β· πŸ“¦ 8K Β· πŸ“‹ 880 - 30% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/kornia/kornia ``` -- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 2M / month Β· πŸ“¦ 130 Β· ⏱️ 27.12.2023): +- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 2.3M / month Β· πŸ“¦ 130 Β· ⏱️ 27.12.2023): ``` pip install kornia ``` @@ -2380,7 +2369,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/imageio/imageio ``` -- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 19M / month Β· πŸ“¦ 3.1K Β· ⏱️ 11.12.2023): +- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 20M / month Β· πŸ“¦ 3.1K Β· ⏱️ 11.12.2023): ``` pip install imageio ``` @@ -2396,7 +2385,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/Zulko/moviepy ``` -- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 650K / month Β· πŸ“¦ 990 Β· ⏱️ 15.12.2021): +- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 640K / month Β· πŸ“¦ 990 Β· ⏱️ 15.12.2021): ``` pip install moviepy ``` @@ -2407,36 +2396,36 @@ _Libraries for image & video processing, manipulation, and augmentation as well
opencv-python (πŸ₯ˆ37 Β· ⭐ 3.9K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 810 Β· πŸ“¦ 340K Β· πŸ“‹ 740 - 11% open Β· ⏱️ 31.12.2023): +- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 810 Β· πŸ“¦ 350K Β· πŸ“‹ 740 - 11% open Β· ⏱️ 31.12.2023): ``` git clone https://github.com/opencv/opencv-python ``` -- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 10M / month Β· πŸ“¦ 12K Β· ⏱️ 31.12.2023): +- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 11M / month Β· πŸ“¦ 12K Β· ⏱️ 31.12.2023): ``` pip install opencv-python ```
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deepface (πŸ₯ˆ36 Β· ⭐ 8.8K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT +
deepface (πŸ₯ˆ36 Β· ⭐ 8.9K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT -- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 1.7K Β· πŸ“¦ 2.4K Β· πŸ“‹ 840 - 0% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 1.7K Β· πŸ“¦ 2.4K Β· πŸ“‹ 840 - 0% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/serengil/deepface ``` -- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 160K / month Β· πŸ“¦ 21 Β· ⏱️ 08.01.2024): +- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 150K / month Β· πŸ“¦ 21 Β· ⏱️ 08.01.2024): ``` pip install deepface ```
Wand (πŸ₯ˆ36 Β· ⭐ 1.3K) - The ctypes-based simple ImageMagick binding for Python. MIT -- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“₯ 38K Β· πŸ“¦ 18K Β· πŸ“‹ 410 - 5% open Β· ⏱️ 13.12.2023): +- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“₯ 38K Β· πŸ“¦ 18K Β· πŸ“‹ 410 - 5% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 870K / month Β· πŸ“¦ 710 Β· ⏱️ 03.11.2023): +- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 840K / month Β· πŸ“¦ 710 Β· ⏱️ 03.11.2023): ``` pip install wand ``` @@ -2447,7 +2436,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
InsightFace (πŸ₯ˆ35 Β· ⭐ 20K) - State-of-the-art 2D and 3D Face Analysis Project. MIT -- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 4.9K Β· πŸ“₯ 1.5M Β· πŸ“¦ 1.5K Β· πŸ“‹ 2.4K - 42% open Β· ⏱️ 24.12.2023): +- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 4.9K Β· πŸ“₯ 1.6M Β· πŸ“¦ 1.5K Β· πŸ“‹ 2.4K - 42% open Β· ⏱️ 24.12.2023): ``` git clone https://github.com/deepinsight/insightface @@ -2459,12 +2448,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Albumentations (πŸ₯ˆ35 Β· ⭐ 13K) - Fast image augmentation library and an easy-to-use wrapper.. MIT -- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.5K Β· πŸ“¦ 20K Β· πŸ“‹ 810 - 46% open Β· ⏱️ 07.12.2023): +- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.5K Β· πŸ“¦ 20K Β· πŸ“‹ 810 - 45% open Β· ⏱️ 07.12.2023): ``` git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 960K / month Β· πŸ“¦ 340 Β· ⏱️ 10.06.2023): +- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 970K / month Β· πŸ“¦ 340 Β· ⏱️ 10.06.2023): ``` pip install albumentations ``` @@ -2484,12 +2473,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install detectron2 ``` -- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 220K Β· ⏱️ 30.11.2023): +- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 220K Β· ⏱️ 18.01.2024): ``` conda install -c conda-forge detectron2 ```
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PaddleSeg (πŸ₯ˆ32 Β· ⭐ 7.9K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 +
PaddleSeg (πŸ₯ˆ32 Β· ⭐ 8K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“¦ 1.1K Β· πŸ“‹ 2K - 18% open Β· ⏱️ 28.12.2023): @@ -2517,9 +2506,9 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge imagehash ```
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lightly (πŸ₯ˆ31 Β· ⭐ 2.6K) - A python library for self-supervised learning on images. MIT +
lightly (πŸ₯ˆ31 Β· ⭐ 2.7K) - A python library for self-supervised learning on images. MIT -- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 230 Β· πŸ“¦ 200 Β· πŸ“‹ 500 - 19% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 230 Β· πŸ“¦ 200 Β· πŸ“‹ 500 - 19% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/lightly-ai/lightly @@ -2531,7 +2520,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
doctr (πŸ₯ˆ31 Β· ⭐ 2.6K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 -- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 310 Β· πŸ“₯ 2.2M Β· πŸ“¦ 230 Β· πŸ“‹ 290 - 13% open Β· ⏱️ 08.01.2024): +- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 310 Β· πŸ“₯ 2.3M Β· πŸ“¦ 230 Β· πŸ“‹ 290 - 13% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/mindee/doctr @@ -2548,7 +2537,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/OlafenwaMoses/ImageAI ``` -- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 5.4K / month Β· πŸ“¦ 18 Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 4.9K / month Β· πŸ“¦ 18 Β· ⏱️ 02.01.2023): ``` pip install imageai ``` @@ -2564,7 +2553,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/obss/sahi ``` -- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 90K / month Β· πŸ“¦ 12 Β· ⏱️ 05.11.2023): +- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 92K / month Β· πŸ“¦ 12 Β· ⏱️ 05.11.2023): ``` pip install sahi ``` @@ -2580,33 +2569,33 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/lucidrains/vit-pytorch ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 20K / month Β· πŸ“¦ 6 Β· ⏱️ 23.12.2023): +- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 24K / month Β· πŸ“¦ 6 Β· ⏱️ 23.12.2023): ``` pip install vit-pytorch ```
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Face Alignment (πŸ₯ˆ29 Β· ⭐ 6.7K) - 2D and 3D Face alignment library build using pytorch. BSD-3 +
PaddleDetection (πŸ₯‰28 Β· ⭐ 12K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 -- [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 1.3K Β· πŸ“¦ 21 Β· πŸ“‹ 310 - 24% open Β· ⏱️ 16.08.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.7K Β· πŸ“‹ 5.2K - 26% open Β· ⏱️ 28.12.2023): ``` - git clone https://github.com/1adrianb/face-alignment + git clone https://github.com/PaddlePaddle/PaddleDetection ``` -- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 61K / month Β· πŸ“¦ 12 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 570 / month Β· πŸ“¦ 1 Β· ⏱️ 19.09.2022): ``` - pip install face-alignment + pip install paddledet ```
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PaddleDetection (πŸ₯‰28 Β· ⭐ 12K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 +
Face Alignment (πŸ₯‰28 Β· ⭐ 6.7K) - 2D and 3D Face alignment library build using pytorch. BSD-3 -- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.7K Β· πŸ“‹ 5.2K - 26% open Β· ⏱️ 28.12.2023): +- [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 1.3K Β· πŸ“¦ 21 Β· πŸ“‹ 310 - 24% open Β· ⏱️ 16.08.2023): ``` - git clone https://github.com/PaddlePaddle/PaddleDetection + git clone https://github.com/1adrianb/face-alignment ``` -- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 570 / month Β· πŸ“¦ 1 Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 59K / month Β· πŸ“¦ 12 Β· ⏱️ 17.08.2023): ``` - pip install paddledet + pip install face-alignment ```
GluonCV (πŸ₯‰28 Β· ⭐ 5.7K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 @@ -2616,14 +2605,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/dmlc/gluon-cv ``` -- [PyPi](https://pypi.org/project/gluoncv) (πŸ“₯ 36K / month Β· πŸ“¦ 61 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/gluoncv) (πŸ“₯ 38K / month Β· πŸ“¦ 61 Β· ⏱️ 03.02.2023): ``` pip install gluoncv ```
vidgear (πŸ₯‰28 Β· ⭐ 3.1K) - A High-performance cross-platform Video Processing Python framework.. Apache-2 -- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 230 Β· πŸ“₯ 960 Β· πŸ“¦ 490 Β· πŸ“‹ 270 - 2% open Β· ⏱️ 10.09.2023): +- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 230 Β· πŸ“₯ 960 Β· πŸ“¦ 500 Β· πŸ“‹ 270 - 2% open Β· ⏱️ 10.09.2023): ``` git clone https://github.com/abhiTronix/vidgear @@ -2640,7 +2629,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/CellProfiler/CellProfiler ``` -- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 580 / month Β· πŸ“¦ 1 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 570 / month Β· πŸ“¦ 1 Β· ⏱️ 14.08.2023): ``` pip install cellprofiler ``` @@ -2652,7 +2641,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/luispedro/mahotas ``` -- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 8.2K / month Β· πŸ“¦ 130 Β· ⏱️ 28.06.2022): +- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 7.9K / month Β· πŸ“¦ 130 Β· ⏱️ 28.06.2022): ``` pip install mahotas ``` @@ -2661,14 +2650,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge mahotas ```
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facenet-pytorch (πŸ₯‰26 Β· ⭐ 3.9K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT +
facenet-pytorch (πŸ₯‰26 Β· ⭐ 4K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT -- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 800 Β· πŸ“₯ 750K Β· πŸ“¦ 1.5K Β· πŸ“‹ 170 - 36% open Β· ⏱️ 02.11.2023): +- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 810 Β· πŸ“₯ 760K Β· πŸ“¦ 1.5K Β· πŸ“‹ 170 - 36% open Β· ⏱️ 02.11.2023): ``` git clone https://github.com/timesler/facenet-pytorch ``` -- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 34K / month Β· πŸ“¦ 19 Β· ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 36K / month Β· πŸ“¦ 19 Β· ⏱️ 10.03.2021): ``` pip install facenet-pytorch ``` @@ -2680,19 +2669,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/mdbloice/Augmentor ``` -- [PyPi](https://pypi.org/project/Augmentor) (πŸ“₯ 7.7K / month Β· πŸ“¦ 29 Β· ⏱️ 27.04.2022): +- [PyPi](https://pypi.org/project/Augmentor) (πŸ“₯ 6.8K / month Β· πŸ“¦ 29 Β· ⏱️ 27.04.2022): ``` pip install Augmentor ```
Image Deduplicator (πŸ₯‰25 Β· ⭐ 4.8K Β· πŸ’€) - Finding duplicate images made easy!. Apache-2 -- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 430 Β· πŸ“¦ 82 Β· πŸ“‹ 140 - 35% open Β· ⏱️ 28.04.2023): +- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 430 Β· πŸ“¦ 83 Β· πŸ“‹ 140 - 35% open Β· ⏱️ 28.04.2023): ``` git clone https://github.com/idealo/imagededup ``` -- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 11K / month Β· πŸ“¦ 5 Β· ⏱️ 28.04.2023): +- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 13K / month Β· πŸ“¦ 5 Β· ⏱️ 28.04.2023): ``` pip install imagededup ``` @@ -2704,23 +2693,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/pytorchvideo ``` -- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 130K / month Β· πŸ“¦ 7 Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 120K / month Β· πŸ“¦ 7 Β· ⏱️ 20.01.2022): ``` pip install pytorchvideo ```
pyvips (πŸ₯‰25 Β· ⭐ 560) - python binding for libvips using cffi. MIT -- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 50 Β· πŸ“¦ 640 Β· πŸ“‹ 390 - 40% open Β· ⏱️ 04.01.2024): +- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 50 Β· πŸ“¦ 650 Β· πŸ“‹ 390 - 41% open Β· ⏱️ 04.01.2024): ``` git clone https://github.com/libvips/pyvips ``` -- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 48K / month Β· πŸ“¦ 50 Β· ⏱️ 04.01.2024): +- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 52K / month Β· πŸ“¦ 50 Β· ⏱️ 04.01.2024): ``` pip install pyvips ``` -- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 71K Β· ⏱️ 26.09.2023): +- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 72K Β· ⏱️ 26.09.2023): ``` conda install -c conda-forge pyvips ``` @@ -2732,7 +2721,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 210 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): +- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 200 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): ``` pip install mmf ``` @@ -2744,11 +2733,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 4.7K / month): +- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 4.8K / month Β· πŸ“¦ 3 Β· ⏱️ 30.05.2022): ``` pip install norfair ```
+
kubric (πŸ₯‰24 Β· ⭐ 2.1K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 + +- [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 200 Β· πŸ“¦ 3 Β· πŸ“‹ 190 - 33% open Β· ⏱️ 16.10.2023): + + ``` + git clone https://github.com/google-research/kubric + ``` +- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 6.7K / month Β· ⏱️ 27.12.2023): + ``` + pip install kubric-nightly + ``` +
vissl (πŸ₯‰23 Β· ⭐ 3.2K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT - [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 320 Β· πŸ“¦ 34 Β· πŸ“‹ 180 - 42% open Β· ⏱️ 05.01.2024): @@ -2756,7 +2757,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/vissl ``` -- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 220 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): +- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 170 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): ``` pip install vissl ``` @@ -2768,41 +2769,41 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/libffcv/ffcv ``` -- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 870 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): +- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 900 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): ``` pip install ffcv ```
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kubric (πŸ₯‰23 Β· ⭐ 2.1K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 +
tensorflow-graphics (πŸ₯‰22 Β· ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 -- [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 200 Β· πŸ“¦ 3 Β· πŸ“‹ 190 - 33% open Β· ⏱️ 16.10.2023): +- [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 360 Β· πŸ“‹ 240 - 61% open Β· ⏱️ 15.12.2023): ``` - git clone https://github.com/google-research/kubric + git clone https://github.com/tensorflow/graphics ``` -- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 5.6K / month Β· ⏱️ 27.12.2023): +- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 6.2K / month Β· πŸ“¦ 9 Β· ⏱️ 03.12.2021): ``` - pip install kubric-nightly + pip install tensorflow-graphics ```
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DEβ«ΆTR (πŸ₯‰22 Β· ⭐ 12K Β· πŸ’€) - End-to-End Object Detection with Transformers. Apache-2 +
DEβ«ΆTR (πŸ₯‰21 Β· ⭐ 12K Β· πŸ’€) - End-to-End Object Detection with Transformers. Apache-2 -- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 2.1K Β· πŸ“¦ 21 Β· πŸ“‹ 520 - 45% open Β· ⏱️ 07.02.2023): +- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 2.1K Β· πŸ“¦ 21 Β· πŸ“‹ 530 - 45% open Β· ⏱️ 07.02.2023): ``` git clone https://github.com/facebookresearch/detr ```
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tensorflow-graphics (πŸ₯‰22 Β· ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 +
PySlowFast (πŸ₯‰21 Β· ⭐ 6.1K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 -- [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 360 Β· πŸ“‹ 240 - 61% open Β· ⏱️ 15.12.2023): +- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 1.1K Β· πŸ“¦ 15 Β· πŸ“‹ 640 - 56% open Β· ⏱️ 19.10.2023): ``` - git clone https://github.com/tensorflow/graphics + git clone https://github.com/facebookresearch/SlowFast ``` -- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 5.9K / month Β· πŸ“¦ 9 Β· ⏱️ 03.12.2021): +- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 10 / month Β· ⏱️ 15.01.2020): ``` - pip install tensorflow-graphics + pip install pyslowfast ```
Classy Vision (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - An end-to-end PyTorch framework for image and video.. MIT @@ -2812,7 +2813,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/ClassyVision ``` -- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 500 / month Β· πŸ“¦ 4 Β· ⏱️ 21.03.2023): +- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 490 / month Β· πŸ“¦ 4 Β· ⏱️ 21.03.2023): ``` pip install classy_vision ``` @@ -2821,19 +2822,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge classy_vision ```
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PySlowFast (πŸ₯‰20 Β· ⭐ 6.1K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 - -- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 1.1K Β· πŸ“¦ 15 Β· πŸ“‹ 640 - 56% open Β· ⏱️ 19.10.2023): - - ``` - git clone https://github.com/facebookresearch/SlowFast - ``` -- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 16 / month Β· ⏱️ 15.01.2020): - ``` - pip install pyslowfast - ``` -
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pycls (πŸ₯‰19 Β· ⭐ 2.1K) - Codebase for Image Classification Research, written in PyTorch. MIT +
pycls (πŸ₯‰20 Β· ⭐ 2.1K) - Codebase for Image Classification Research, written in PyTorch. MIT - [GitHub](https://github.com/facebookresearch/pycls) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 230 Β· πŸ“¦ 16 Β· πŸ“‹ 81 - 30% open Β· ⏱️ 26.08.2023): @@ -2847,7 +2836,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
scenic (πŸ₯‰18 Β· ⭐ 2.7K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 -- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 360 Β· πŸ“‹ 260 - 58% open Β· ⏱️ 06.01.2024): +- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 360 Β· πŸ“‹ 260 - 58% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/google-research/scenic @@ -2860,24 +2849,24 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/jasmcaus/caer ``` -- [PyPi](https://pypi.org/project/caer) (πŸ“₯ 2.7K / month Β· πŸ“¦ 2 Β· ⏱️ 13.10.2021): +- [PyPi](https://pypi.org/project/caer) (πŸ“₯ 2.8K / month Β· πŸ“¦ 2 Β· ⏱️ 13.10.2021): ``` pip install caer ```
Show 21 hidden projects... -- scikit-image (πŸ₯‡42 Β· ⭐ 5.7K) - Image processing in Python. ❗Unlicensed +- scikit-image (πŸ₯‡41 Β· ⭐ 5.7K) - Image processing in Python. ❗Unlicensed +- glfw (πŸ₯ˆ37 Β· ⭐ 12K Β· πŸ“ˆ) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - imgaug (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT -- glfw (πŸ₯ˆ34 Β· ⭐ 12K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - Face Recognition (πŸ₯ˆ33 Β· ⭐ 51K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT -- imutils (πŸ₯ˆ31 Β· ⭐ 4.4K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT +- imutils (πŸ₯ˆ32 Β· ⭐ 4.4K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT - PyTorch3D (πŸ₯ˆ30 Β· ⭐ 8K) - PyTorch3D is FAIRs library of reusable components for deep.. ❗Unlicensed - layout-parser (πŸ₯‰28 Β· ⭐ 4.2K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 - chainercv (πŸ₯‰27 Β· ⭐ 1.5K Β· πŸ’€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT - mtcnn (πŸ₯‰26 Β· ⭐ 2.1K Β· πŸ’€) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT +- segmentation_models (πŸ₯‰25 Β· ⭐ 4.5K Β· πŸ’€) - Segmentation models with pretrained backbones. Keras.. MIT - Pillow-SIMD (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ’€) - The friendly PIL fork. ❗️PIL -- segmentation_models (πŸ₯‰24 Β· ⭐ 4.5K Β· πŸ’€) - Segmentation models with pretrained backbones. Keras.. MIT - Image Super-Resolution (πŸ₯‰24 Β· ⭐ 4.4K Β· πŸ’€) - Super-scale your images and run experiments with.. Apache-2 - Luminoth (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 - deep-daze (πŸ₯‰22 Β· ⭐ 4.4K Β· πŸ’€) - Simple command line tool for text to image generation using.. MIT @@ -2897,34 +2886,50 @@ _Libraries for image & video processing, manipulation, and augmentation as well _Libraries for graph processing, clustering, embedding, and machine learning tasks._ -
PyTorch Geometric (πŸ₯‡38 Β· ⭐ 19K) - Graph Neural Network Library for PyTorch. MIT +
networkx (πŸ₯‡44 Β· ⭐ 14K) - Network Analysis in Python. BSD-3 -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 3.5K Β· πŸ“‹ 3.4K - 26% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 700 Β· πŸ”€ 3.1K Β· πŸ“₯ 65 Β· πŸ“¦ 220K Β· πŸ“‹ 3.3K - 11% open Β· ⏱️ 18.01.2024): ``` - git clone https://github.com/pyg-team/pytorch_geometric + git clone https://github.com/networkx/networkx ``` -- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 210K / month Β· πŸ“¦ 140 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 35M / month Β· πŸ“¦ 15K Β· ⏱️ 28.10.2023): ``` - pip install torch-geometric + pip install networkx ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 35K Β· ⏱️ 08.11.2023): +- [Conda](https://anaconda.org/conda-forge/networkx) (πŸ“₯ 15M Β· ⏱️ 28.10.2023): ``` - conda install -c conda-forge pytorch_geometric + conda install -c conda-forge networkx ```
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dgl (πŸ₯‡38 Β· ⭐ 13K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 +
dgl (πŸ₯‡39 Β· ⭐ 13K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 -- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.8K Β· πŸ“¦ 180 Β· πŸ“‹ 2.5K - 13% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.9K Β· πŸ“¦ 180 Β· πŸ“‹ 2.6K - 17% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 64K / month): +- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 61K / month Β· πŸ“¦ 86 Β· ⏱️ 12.01.2024): ``` pip install dgl ```
+
PyTorch Geometric (πŸ₯‡38 Β· ⭐ 19K) - Graph Neural Network Library for PyTorch. MIT + +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 3.5K Β· πŸ“‹ 3.4K - 26% open Β· ⏱️ 18.01.2024): + + ``` + git clone https://github.com/pyg-team/pytorch_geometric + ``` +- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 210K / month Β· πŸ“¦ 140 Β· ⏱️ 12.10.2023): + ``` + pip install torch-geometric + ``` +- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 35K Β· ⏱️ 08.11.2023): + ``` + conda install -c conda-forge pytorch_geometric + ``` +
pygraphistry (πŸ₯ˆ30 Β· ⭐ 2K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 - [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 200 Β· πŸ“¦ 110 Β· πŸ“‹ 310 - 50% open Β· ⏱️ 27.12.2023): @@ -2932,7 +2937,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 2.4K / month Β· πŸ“¦ 6 Β· ⏱️ 27.12.2023): +- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 3.2K / month Β· πŸ“¦ 6 Β· ⏱️ 27.12.2023): ``` pip install graphistry ``` @@ -2944,7 +2949,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/snap-stanford/ogb ``` -- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 31K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 33K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): ``` pip install ogb ``` @@ -2960,11 +2965,23 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/danielegrattarola/spektral ``` -- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 6.5K / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2023): +- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 6.6K / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2023): ``` pip install spektral ```
+
Paddle Graph Learning (πŸ₯ˆ26 Β· ⭐ 1.6K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 + +- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 310 Β· πŸ“¦ 50 Β· πŸ“‹ 210 - 42% open Β· ⏱️ 26.09.2023): + + ``` + git clone https://github.com/PaddlePaddle/PGL + ``` +- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 530 / month Β· πŸ“¦ 2 Β· ⏱️ 26.09.2023): + ``` + pip install pgl + ``` +
PyTorch-BigGraph (πŸ₯ˆ25 Β· ⭐ 3.3K) - Generate embeddings from large-scale graph-structured.. BSD-3 - [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 440 Β· πŸ“₯ 170 Β· πŸ“‹ 200 - 32% open Β· ⏱️ 06.01.2024): @@ -2984,23 +3001,11 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` -- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 1.9K / month Β· πŸ“¦ 4 Β· ⏱️ 04.09.2022): +- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 1.6K / month Β· πŸ“¦ 4 Β· ⏱️ 04.09.2022): ``` pip install torch-geometric-temporal ```
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Paddle Graph Learning (πŸ₯ˆ25 Β· ⭐ 1.6K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 - -- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 300 Β· πŸ“¦ 48 Β· πŸ“‹ 190 - 37% open Β· ⏱️ 26.09.2023): - - ``` - git clone https://github.com/PaddlePaddle/PGL - ``` -- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 570 / month): - ``` - pip install pgl - ``` -
PyKEEN (πŸ₯ˆ25 Β· ⭐ 1.4K) - A Python library for learning and evaluating knowledge graph embeddings. MIT - [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 170 Β· πŸ“₯ 180 Β· πŸ“‹ 540 - 20% open Β· ⏱️ 07.10.2023): @@ -3008,53 +3013,53 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 3.6K / month Β· πŸ“¦ 5 Β· ⏱️ 22.02.2023): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 3.2K / month Β· πŸ“¦ 5 Β· ⏱️ 22.02.2023): ``` pip install pykeen ```
AmpliGraph (πŸ₯ˆ24 Β· ⭐ 2K) - Python library for Representation Learning on Knowledge.. Apache-2 -- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“¦ 47 Β· πŸ“‹ 220 - 14% open Β· ⏱️ 12.07.2023): +- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“¦ 48 Β· πŸ“‹ 220 - 14% open Β· ⏱️ 12.07.2023): ``` git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 610 / month Β· ⏱️ 12.07.2023): +- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 530 / month Β· ⏱️ 12.07.2023): ``` pip install ampligraph ```
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Node2Vec (πŸ₯‰23 Β· ⭐ 1.1K) - Implementation of the node2vec algorithm. MIT +
torch-cluster (πŸ₯ˆ24 Β· ⭐ 730) - PyTorch Extension Library of Optimized Graph Cluster.. MIT -- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 230 Β· πŸ“¦ 540 Β· πŸ“‹ 91 - 4% open Β· ⏱️ 24.12.2023): +- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 130 Β· πŸ“‹ 150 - 18% open Β· ⏱️ 11.10.2023): ``` - git clone https://github.com/eliorc/node2vec + git clone https://github.com/rusty1s/pytorch_cluster ``` -- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 57K / month Β· πŸ“¦ 21 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 11K / month Β· πŸ“¦ 45 Β· ⏱️ 12.10.2023): ``` - pip install node2vec + pip install torch-cluster ``` -- [Conda](https://anaconda.org/conda-forge/node2vec) (πŸ“₯ 27K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 87K Β· ⏱️ 29.12.2023): ``` - conda install -c conda-forge node2vec + conda install -c conda-forge pytorch_cluster ```
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torch-cluster (πŸ₯‰21 Β· ⭐ 730) - PyTorch Extension Library of Optimized Graph Cluster.. MIT +
Node2Vec (πŸ₯‰23 Β· ⭐ 1.1K) - Implementation of the node2vec algorithm. MIT -- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 120 Β· πŸ“‹ 150 - 18% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 230 Β· πŸ“¦ 540 Β· πŸ“‹ 91 - 4% open Β· ⏱️ 24.12.2023): ``` - git clone https://github.com/rusty1s/pytorch_cluster + git clone https://github.com/eliorc/node2vec ``` -- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 11K / month): +- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 48K / month Β· πŸ“¦ 21 Β· ⏱️ 01.08.2022): ``` - pip install torch-cluster + pip install node2vec ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 86K Β· ⏱️ 29.12.2023): +- [Conda](https://anaconda.org/conda-forge/node2vec) (πŸ“₯ 27K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge pytorch_cluster + conda install -c conda-forge node2vec ```
deepsnap (πŸ₯‰21 Β· ⭐ 510) - Python library assists deep learning on graphs. MIT @@ -3064,7 +3069,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/snap-stanford/deepsnap ``` -- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 540 / month Β· πŸ“¦ 1 Β· ⏱️ 05.09.2021): +- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 440 / month Β· πŸ“¦ 1 Β· ⏱️ 05.09.2021): ``` pip install deepsnap ``` @@ -3076,7 +3081,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/snap-stanford/GraphGym ``` -- [PyPi](https://pypi.org/project/graphgym) (πŸ“₯ 64 / month Β· ⏱️ 24.03.2022): +- [PyPi](https://pypi.org/project/graphgym) (πŸ“₯ 57 / month Β· ⏱️ 24.03.2022): ``` pip install graphgym ``` @@ -3101,18 +3106,6 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas git clone https://github.com/thunlp/OpenKE ```
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AutoGL (πŸ₯‰16 Β· ⭐ 1K) - An autoML framework & toolkit for machine learning on graphs. Apache-2 - -- [GitHub](https://github.com/THUMNLab/AutoGL) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 110 Β· πŸ“‹ 35 - 31% open Β· ⏱️ 21.10.2023): - - ``` - git clone https://github.com/THUMNLab/AutoGL - ``` -- [PyPi](https://pypi.org/project/auto-graph-learning) (⏱️ 23.12.2020): - ``` - pip install auto-graph-learning - ``` -
kglib (πŸ₯‰16 Β· ⭐ 550) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2 - [GitHub](https://github.com/vaticle/typedb-ml) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 98 Β· πŸ“₯ 220 Β· πŸ“‹ 63 - 19% open Β· ⏱️ 18.11.2023): @@ -3120,7 +3113,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/vaticle/kglib ``` -- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 77 / month Β· ⏱️ 19.08.2020): +- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 89 / month Β· ⏱️ 19.08.2020): ``` pip install grakn-kglib ``` @@ -3133,16 +3126,27 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas git clone https://github.com/thunlp/OpenNE ```
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Show 17 hidden projects... +
AutoGL (πŸ₯‰15 Β· ⭐ 1K) - An autoML framework & toolkit for machine learning on graphs. Apache-2 + +- [GitHub](https://github.com/THUMNLab/AutoGL) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 110 Β· πŸ“‹ 35 - 31% open Β· ⏱️ 21.10.2023): + + ``` + git clone https://github.com/THUMNLab/AutoGL + ``` +- [PyPi](https://pypi.org/project/auto-graph-learning): + ``` + pip install auto-graph-learning + ``` +
+
Show 16 hidden projects... -- networkx (πŸ₯‡42 Β· ⭐ 14K) - Network Analysis in Python. ❗Unlicensed - igraph (πŸ₯‡33 Β· ⭐ 1.2K) - Python interface for igraph. ❗️GPL-2.0 - pygal (πŸ₯ˆ30 Β· ⭐ 2.6K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 - StellarGraph (πŸ₯ˆ27 Β· ⭐ 2.8K Β· πŸ’€) - StellarGraph - Machine Learning on Graphs. Apache-2 - Karate Club (πŸ₯ˆ24 Β· ⭐ 2K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 +- graph-nets (πŸ₯‰22 Β· ⭐ 5.3K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 - DIG (πŸ₯‰22 Β· ⭐ 1.7K) - A library for graph deep learning research. ❗️GPL-3.0 - graph4nlp (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 -- graph-nets (πŸ₯‰20 Β· ⭐ 5.3K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 - DeepWalk (πŸ₯‰20 Β· ⭐ 2.6K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 - jraph (πŸ₯‰20 Β· ⭐ 1.3K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 - pyRDF2Vec (πŸ₯‰20 Β· ⭐ 230) - Python Implementation and Extension of RDF2Vec. MIT @@ -3150,8 +3154,8 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas - DeepGraph (πŸ₯‰16 Β· ⭐ 280) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 - Euler (πŸ₯‰15 Β· ⭐ 2.9K Β· πŸ’€) - A distributed graph deep learning framework. Apache-2 - GraphSAGE (πŸ₯‰14 Β· ⭐ 3.2K Β· πŸ’€) - Representation learning on large graphs using stochastic.. MIT -- GraphVite (πŸ₯‰14 Β· ⭐ 1.2K Β· πŸ’€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2 - ptgnn (πŸ₯‰14 Β· ⭐ 370 Β· πŸ’€) - A PyTorch Graph Neural Network Library. MIT +- GraphVite (πŸ₯‰13 Β· ⭐ 1.2K Β· πŸ’€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2

@@ -3163,7 +3167,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
espnet (πŸ₯‡37 Β· ⭐ 7.5K) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 2K Β· πŸ“₯ 79 Β· πŸ“¦ 280 Β· πŸ“‹ 2.3K - 10% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 2.1K Β· πŸ“₯ 79 Β· πŸ“¦ 280 Β· πŸ“‹ 2.3K - 11% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/espnet/espnet @@ -3173,35 +3177,35 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as pip install espnet ```
-
Coqui TTS (πŸ₯‡36 Β· ⭐ 26K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 +
speechbrain (πŸ₯‡36 Β· ⭐ 7.1K) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.8K Β· πŸ“₯ 1.8M Β· πŸ“‹ 930 - 7% open Β· ⏱️ 27.12.2023): +- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.2K Β· πŸ“¦ 1.4K Β· πŸ“‹ 990 - 11% open Β· ⏱️ 17.01.2024): ``` - git clone https://github.com/coqui-ai/TTS - ``` -- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 100K / month Β· πŸ“¦ 19 Β· ⏱️ 12.12.2023): - ``` - pip install tts + git clone https://github.com/speechbrain/speechbrain ``` -- [Conda](https://anaconda.org/conda-forge/tts) (πŸ“₯ 10K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 160K / month): ``` - conda install -c conda-forge tts + pip install speechbrain ```
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speechbrain (πŸ₯‡36 Β· ⭐ 7.1K) - A PyTorch-based Speech Toolkit. Apache-2 +
Coqui TTS (πŸ₯‡34 Β· ⭐ 26K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 -- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.2K Β· πŸ“¦ 1.4K Β· πŸ“‹ 1K - 16% open Β· ⏱️ 07.01.2024): +- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.8K Β· πŸ“₯ 1.8M Β· πŸ“‹ 940 - 8% open Β· ⏱️ 27.12.2023): ``` - git clone https://github.com/speechbrain/speechbrain + git clone https://github.com/coqui-ai/TTS ``` -- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 160K / month Β· πŸ“¦ 24 Β· ⏱️ 22.11.2023): +- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 110K / month): ``` - pip install speechbrain + pip install tts + ``` +- [Conda](https://anaconda.org/conda-forge/tts) (πŸ“₯ 10K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge tts ```
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SpeechRecognition (πŸ₯ˆ34 Β· ⭐ 7.8K) - Speech recognition module for Python, supporting several.. BSD-3 +
SpeechRecognition (πŸ₯‡34 Β· ⭐ 7.8K) - Speech recognition module for Python, supporting several.. BSD-3 - [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 2.3K Β· πŸ“¦ 21 Β· πŸ“‹ 620 - 49% open Β· ⏱️ 06.12.2023): @@ -3217,9 +3221,9 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge speechrecognition ```
-
librosa (πŸ₯ˆ34 Β· ⭐ 6.4K) - Python library for audio and music analysis. ISC +
librosa (πŸ₯‡34 Β· ⭐ 6.4K) - Python library for audio and music analysis. ISC -- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 940 Β· πŸ“‹ 1.2K - 4% open Β· ⏱️ 27.12.2023): +- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 950 Β· πŸ“‹ 1.2K - 4% open Β· ⏱️ 27.12.2023): ``` git clone https://github.com/librosa/librosa @@ -3233,14 +3237,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge librosa ```
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torchaudio (πŸ₯ˆ34 Β· ⭐ 2.3K) - Data manipulation and transformation for audio signal.. BSD-2 +
torchaudio (πŸ₯‡34 Β· ⭐ 2.3K) - Data manipulation and transformation for audio signal.. BSD-2 -- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 620 Β· πŸ“‹ 900 - 20% open Β· ⏱️ 08.01.2024): +- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 620 Β· πŸ“‹ 900 - 20% open Β· ⏱️ 12.01.2024): ``` git clone https://github.com/pytorch/audio ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 2.2M / month Β· πŸ“¦ 540 Β· ⏱️ 14.12.2023): +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 2M / month Β· πŸ“¦ 550 Β· ⏱️ 14.12.2023): ``` pip install torchaudio ``` @@ -3252,7 +3256,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/magenta ``` -- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 2.4K / month Β· πŸ“¦ 38 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 2.3K / month Β· πŸ“¦ 38 Β· ⏱️ 01.08.2022): ``` pip install magenta ``` @@ -3280,35 +3284,35 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/beetbox/audioread ``` -- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 1.5M / month Β· πŸ“¦ 360 Β· ⏱️ 27.09.2023): +- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 1.6M / month Β· πŸ“¦ 360 Β· ⏱️ 27.09.2023): ``` pip install audioread ``` -- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 730K Β· ⏱️ 30.09.2023): +- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 740K Β· ⏱️ 30.09.2023): ``` conda install -c conda-forge audioread ```
audiomentations (πŸ₯ˆ30 Β· ⭐ 1.6K) - A Python library for audio data augmentation. Inspired by.. MIT -- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 170 Β· πŸ“¦ 410 Β· πŸ“‹ 170 - 27% open Β· ⏱️ 15.12.2023): +- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 170 Β· πŸ“¦ 410 Β· πŸ“‹ 160 - 25% open Β· ⏱️ 15.12.2023): ``` git clone https://github.com/iver56/audiomentations ``` -- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 20K / month Β· πŸ“¦ 5 Β· ⏱️ 24.11.2023): +- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 19K / month): ``` pip install audiomentations ```
python-soundfile (πŸ₯ˆ30 Β· ⭐ 630) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 -- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 92 Β· πŸ“₯ 17K Β· πŸ“¦ 30K Β· πŸ“‹ 230 - 41% open Β· ⏱️ 05.01.2024): +- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 93 Β· πŸ“₯ 17K Β· πŸ“¦ 30K Β· πŸ“‹ 230 - 41% open Β· ⏱️ 05.01.2024): ``` git clone https://github.com/bastibe/python-soundfile ``` -- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 1.4M / month): +- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 1.4M / month Β· πŸ“¦ 310 Β· ⏱️ 15.02.2023): ``` pip install soundfile ``` @@ -3319,12 +3323,12 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
Porcupine (πŸ₯‰28 Β· ⭐ 3.3K) - On-device wake word detection powered by deep learning. Apache-2 -- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 460 Β· πŸ“¦ 26 Β· πŸ“‹ 510 - 0% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 460 Β· πŸ“¦ 26 Β· πŸ“‹ 510 - 0% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/Picovoice/Porcupine ``` -- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 4K / month Β· πŸ“¦ 13 Β· ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 4.4K / month Β· πŸ“¦ 13 Β· ⏱️ 16.11.2023): ``` pip install pvporcupine ``` @@ -3336,19 +3340,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/tyiannak/pyAudioAnalysis ``` -- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 8.6K / month Β· πŸ“¦ 19 Β· ⏱️ 07.02.2022): +- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 8.9K / month Β· πŸ“¦ 19 Β· ⏱️ 07.02.2022): ``` pip install pyAudioAnalysis ```
Madmom (πŸ₯‰27 Β· ⭐ 1.2K) - Python audio and music signal processing library. BSD-3 -- [GitHub](https://github.com/CPJKU/madmom) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 190 Β· πŸ“¦ 390 Β· πŸ“‹ 270 - 21% open Β· ⏱️ 10.09.2023): +- [GitHub](https://github.com/CPJKU/madmom) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 190 Β· πŸ“¦ 390 Β· πŸ“‹ 280 - 23% open Β· ⏱️ 10.09.2023): ``` git clone https://github.com/CPJKU/madmom ``` -- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 2.3K / month Β· πŸ“¦ 33 Β· ⏱️ 14.11.2018): +- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 2.2K / month Β· πŸ“¦ 33 Β· ⏱️ 14.11.2018): ``` pip install madmom ``` @@ -3372,7 +3376,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 1.7K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): +- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 1.5K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): ``` pip install ddsp ``` @@ -3381,14 +3385,30 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge ddsp ```
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nnAudio (πŸ₯‰20 Β· ⭐ 920) - Audio processing by using pytorch 1D convolution network. MIT +
DeepSpeech (πŸ₯‰23 Β· ⭐ 24K Β· πŸ“‰) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 + +- [GitHub](https://github.com/mozilla/DeepSpeech) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.9K): + + ``` + git clone https://github.com/mozilla/DeepSpeech + ``` +- [PyPi](https://pypi.org/project/deepspeech) (πŸ“₯ 4.3K / month Β· πŸ“¦ 43 Β· ⏱️ 19.12.2020): + ``` + pip install deepspeech + ``` +- [Conda](https://anaconda.org/conda-forge/deepspeech) (πŸ“₯ 2.5K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge deepspeech + ``` +
+
nnAudio (πŸ₯‰20 Β· ⭐ 930) - Audio processing by using pytorch 1D convolution network. MIT - [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 87 Β· πŸ“¦ 150 Β· πŸ“‹ 60 - 30% open Β· ⏱️ 04.09.2023): ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 4.6K / month): +- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 4.3K / month Β· πŸ“¦ 3 Β· ⏱️ 24.12.2021): ``` pip install nnAudio ``` @@ -3401,14 +3421,13 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as git clone https://github.com/facebookresearch/textlesslib ```
-
Show 11 hidden projects... +
Show 10 hidden projects... -- DeepSpeech (πŸ₯ˆ34 Β· ⭐ 24K Β· πŸ’€) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 -- Pydub (πŸ₯ˆ33 Β· ⭐ 8K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT +- Pydub (πŸ₯ˆ33 Β· ⭐ 8.1K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT - aubio (πŸ₯‰29 Β· ⭐ 3.1K) - a library for audio and music analysis. ❗️GPL-3.0 - TTS (πŸ₯‰27 Β· ⭐ 8.4K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 -- Essentia (πŸ₯‰27 Β· ⭐ 2.6K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 -- python_speech_features (πŸ₯‰25 Β· ⭐ 2.3K Β· πŸ’€) - This library provides common speech features for ASR.. MIT +- Essentia (πŸ₯‰26 Β· ⭐ 2.6K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 +- python_speech_features (πŸ₯‰24 Β· ⭐ 2.3K Β· πŸ’€) - This library provides common speech features for ASR.. MIT - Dejavu (πŸ₯‰22 Β· ⭐ 6.2K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT - kapre (πŸ₯‰21 Β· ⭐ 900 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT - Julius (πŸ₯‰21 Β· ⭐ 390 Β· πŸ’€) - Fast PyTorch based DSP for audio and 1D signals. MIT @@ -3425,12 +3444,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (πŸ₯‡42 Β· ⭐ 11K) - WebGL2 powered visualization framework. MIT -- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2K Β· πŸ“¦ 7K Β· πŸ“‹ 2.8K - 8% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2.1K Β· πŸ“¦ 7K Β· πŸ“‹ 2.9K - 10% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 1.7M / month): +- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 1.7M / month Β· πŸ“¦ 56 Β· ⏱️ 15.04.2023): ``` pip install pydeck ``` @@ -3438,19 +3457,19 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge pydeck ``` -- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 320K / month): +- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 310K / month Β· πŸ“¦ 490 Β· ⏱️ 16.01.2024): ``` npm install deck.gl ```
GeoPandas (πŸ₯‡40 Β· ⭐ 4K) - Python tools for geographic data. BSD-3 -- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 910 Β· πŸ“₯ 2.4K Β· πŸ“¦ 30K Β· πŸ“‹ 1.6K - 28% open Β· ⏱️ 07.01.2024): +- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 910 Β· πŸ“₯ 2.4K Β· πŸ“¦ 30K Β· πŸ“‹ 1.6K - 27% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/geopandas/geopandas ``` -- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 5.4M / month Β· πŸ“¦ 1.8K Β· ⏱️ 04.01.2024): +- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 5.4M / month Β· πŸ“¦ 1.9K Β· ⏱️ 04.01.2024): ``` pip install geopandas ``` @@ -3461,7 +3480,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
folium (πŸ₯‡39 Β· ⭐ 6.5K) - Python Data. Leaflet.js Maps. MIT -- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.2K Β· πŸ“¦ 33K Β· πŸ“‹ 1.1K - 6% open Β· ⏱️ 02.01.2024): +- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.2K Β· πŸ“¦ 33K Β· πŸ“‹ 1.1K - 6% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/python-visualization/folium @@ -3475,14 +3494,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge folium ```
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Shapely (πŸ₯ˆ38 Β· ⭐ 3.5K) - Manipulation and analysis of geometric objects. BSD-3 +
Shapely (πŸ₯ˆ38 Β· ⭐ 3.6K) - Manipulation and analysis of geometric objects. BSD-3 - [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 540 Β· πŸ“₯ 2.9K Β· πŸ“¦ 60K Β· πŸ“‹ 1.1K - 20% open Β· ⏱️ 04.01.2024): ``` git clone https://github.com/shapely/shapely ``` -- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 15M / month): +- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 15M / month Β· πŸ“¦ 1.3K Β· ⏱️ 12.10.2023): ``` pip install shapely ``` @@ -3491,9 +3510,9 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge shapely ```
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Rasterio (πŸ₯ˆ38 Β· ⭐ 2.1K) - Rasterio reads and writes geospatial raster datasets. BSD-3 +
Rasterio (πŸ₯ˆ37 Β· ⭐ 2.1K) - Rasterio reads and writes geospatial raster datasets. BSD-3 -- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 520 Β· πŸ“₯ 850 Β· πŸ“¦ 10K Β· πŸ“‹ 1.8K - 9% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 520 Β· πŸ“₯ 850 Β· πŸ“¦ 10K Β· πŸ“‹ 1.8K - 9% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/rasterio/rasterio @@ -3507,46 +3526,46 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge rasterio ```
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geopy (πŸ₯ˆ35 Β· ⭐ 4.2K Β· πŸ“ˆ) - Geocoding library for Python. MIT +
Fiona (πŸ₯ˆ36 Β· ⭐ 1.1K) - Fiona reads and writes geographic data files. BSD-3 -- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 660 Β· πŸ“₯ 12 Β· πŸ“‹ 280 - 11% open Β· ⏱️ 23.11.2023): +- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 210 Β· πŸ“¦ 17K Β· πŸ“‹ 760 - 4% open Β· ⏱️ 16.01.2024): ``` - git clone https://github.com/geopy/geopy + git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 4.3M / month Β· πŸ“¦ 4.1K Β· ⏱️ 23.11.2023): +- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 5.5M / month Β· πŸ“¦ 70 Β· ⏱️ 12.10.2023): ``` - pip install geopy + pip install fiona ``` -- [Conda](https://anaconda.org/conda-forge/geopy) (πŸ“₯ 1.2M Β· ⏱️ 24.11.2023): +- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 5.2M Β· ⏱️ 01.01.2024): ``` - conda install -c conda-forge geopy + conda install -c conda-forge fiona ```
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Fiona (πŸ₯ˆ35 Β· ⭐ 1.1K) - Fiona reads and writes geographic data files. BSD-3 +
geopy (πŸ₯ˆ35 Β· ⭐ 4.2K) - Geocoding library for Python. MIT -- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 210 Β· πŸ“¦ 17K Β· πŸ“‹ 760 - 4% open Β· ⏱️ 17.12.2023): +- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 660 Β· πŸ“₯ 14 Β· πŸ“‹ 280 - 11% open Β· ⏱️ 23.11.2023): ``` - git clone https://github.com/Toblerity/Fiona + git clone https://github.com/geopy/geopy ``` -- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 5.6M / month Β· πŸ“¦ 68 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 4.2M / month Β· πŸ“¦ 4.1K Β· ⏱️ 23.11.2023): ``` - pip install fiona + pip install geopy ``` -- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 5.2M Β· ⏱️ 01.01.2024): +- [Conda](https://anaconda.org/conda-forge/geopy) (πŸ“₯ 1.2M Β· ⏱️ 24.11.2023): ``` - conda install -c conda-forge fiona + conda install -c conda-forge geopy ```
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pyproj (πŸ₯ˆ35 Β· ⭐ 950) - Python interface to PROJ (cartographic projections and coordinate.. MIT +
pyproj (πŸ₯ˆ35 Β· ⭐ 960) - Python interface to PROJ (cartographic projections and coordinate.. MIT -- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 210 Β· πŸ“¦ 26K Β· πŸ“‹ 600 - 5% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 210 Β· πŸ“¦ 27K Β· πŸ“‹ 600 - 5% open Β· ⏱️ 08.11.2023): ``` git clone https://github.com/pyproj4/pyproj ``` -- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 7.1M / month Β· πŸ“¦ 2K Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 7M / month Β· πŸ“¦ 2K Β· ⏱️ 21.09.2023): ``` pip install pyproj ``` @@ -3557,12 +3576,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
ipyleaflet (πŸ₯ˆ34 Β· ⭐ 1.4K) - A Jupyter - Leaflet.js bridge. MIT -- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 360 Β· πŸ“¦ 6.8K Β· πŸ“‹ 610 - 43% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 360 Β· πŸ“¦ 6.9K Β· πŸ“‹ 610 - 43% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` -- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 95K / month Β· πŸ“¦ 160 Β· ⏱️ 15.12.2023): +- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 92K / month Β· πŸ“¦ 160 Β· ⏱️ 15.12.2023): ``` pip install ipyleaflet ``` @@ -3570,7 +3589,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge ipyleaflet ``` -- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 35K / month Β· πŸ“¦ 6 Β· ⏱️ 27.11.2023): +- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 27K / month Β· πŸ“¦ 6 Β· ⏱️ 27.11.2023): ``` npm install jupyter-leaflet ``` @@ -3591,7 +3610,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra docker pull esridocker/arcgis-api-python-notebook ```
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geojson (πŸ₯‰31 Β· ⭐ 850) - Python bindings and utilities for GeoJSON. BSD-3 +
geojson (πŸ₯‰31 Β· ⭐ 860) - Python bindings and utilities for GeoJSON. BSD-3 - [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 120 Β· πŸ“¦ 16K Β· πŸ“‹ 100 - 26% open Β· ⏱️ 06.11.2023): @@ -3602,19 +3621,19 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` pip install geojson ``` -- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 770K Β· ⏱️ 06.11.2023): +- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 780K Β· ⏱️ 06.11.2023): ``` conda install -c conda-forge geojson ```
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GeoViews (πŸ₯‰29 Β· ⭐ 540) - Simple, concise geographical visualization in Python. BSD-3 +
GeoViews (πŸ₯‰29 Β· ⭐ 550) - Simple, concise geographical visualization in Python. BSD-3 -- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 72 Β· πŸ“¦ 850 Β· πŸ“‹ 340 - 33% open Β· ⏱️ 22.12.2023): +- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 72 Β· πŸ“¦ 860 Β· πŸ“‹ 340 - 33% open Β· ⏱️ 22.12.2023): ``` git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 6.7K / month Β· πŸ“¦ 37 Β· ⏱️ 01.11.2023): +- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 6.2K / month Β· πŸ“¦ 37 Β· ⏱️ 01.11.2023): ``` pip install geoviews ``` @@ -3646,7 +3665,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/earthlab/earthpy ``` -- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 4.1K / month): +- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 4.1K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): ``` pip install earthpy ``` @@ -3657,12 +3676,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pymap3d (πŸ₯‰24 Β· ⭐ 350) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2 -- [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 82 Β· πŸ“¦ 340 Β· πŸ“‹ 51 - 9% open Β· ⏱️ 26.11.2023): +- [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 82 Β· πŸ“¦ 350 Β· πŸ“‹ 55 - 16% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/geospace-code/pymap3d ``` -- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 57K / month): +- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 56K / month Β· πŸ“¦ 23 Β· ⏱️ 05.03.2023): ``` pip install pymap3d ``` @@ -3691,16 +3710,16 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
yfinance (πŸ₯‡40 Β· ⭐ 11K) - Download market data from Yahoo! Finances API. Apache-2 -- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 2.1K Β· πŸ“¦ 32K Β· πŸ“‹ 1.2K - 14% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 2.1K Β· πŸ“¦ 32K Β· πŸ“‹ 1.2K - 14% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/ranaroussi/yfinance ``` -- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 1.2M / month Β· πŸ“¦ 300 Β· ⏱️ 07.01.2024): +- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 1.2M / month Β· πŸ“¦ 310 Β· ⏱️ 07.01.2024): ``` pip install yfinance ``` -- [Conda](https://anaconda.org/ranaroussi/yfinance) (πŸ“₯ 84K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/ranaroussi/yfinance) (πŸ“₯ 85K Β· ⏱️ 16.06.2023): ``` conda install -c ranaroussi yfinance ``` @@ -3712,7 +3731,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/bukosabino/ta ``` -- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 70K / month Β· πŸ“¦ 49 Β· ⏱️ 02.11.2023): +- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 71K / month Β· πŸ“¦ 50 Β· ⏱️ 02.11.2023): ``` pip install ta ``` @@ -3728,7 +3747,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/pmorissette/bt ``` -- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 5.9K / month Β· πŸ“¦ 28 Β· ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 5.8K / month Β· πŸ“¦ 28 Β· ⏱️ 20.11.2023): ``` pip install bt ``` @@ -3739,7 +3758,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
ffn (πŸ₯ˆ30 Β· ⭐ 1.7K) - ffn - a financial function library for Python. MIT -- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 280 Β· πŸ“¦ 410 Β· πŸ“‹ 120 - 17% open Β· ⏱️ 31.12.2023): +- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 280 Β· πŸ“¦ 420 Β· πŸ“‹ 120 - 18% open Β· ⏱️ 31.12.2023): ``` git clone https://github.com/pmorissette/ffn @@ -3748,14 +3767,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` pip install ffn ``` -- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 6.4K Β· ⏱️ 31.12.2023): +- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 6.5K Β· ⏱️ 31.12.2023): ``` conda install -c conda-forge ffn ```
Qlib (πŸ₯ˆ29 Β· ⭐ 13K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT -- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.2K Β· πŸ“₯ 390 Β· πŸ“¦ 21 Β· πŸ“‹ 890 - 25% open Β· ⏱️ 21.11.2023): +- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.3K Β· πŸ“₯ 390 Β· πŸ“¦ 21 Β· πŸ“‹ 890 - 25% open Β· ⏱️ 21.11.2023): ``` git clone https://github.com/microsoft/qlib @@ -3767,7 +3786,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Alpha Vantage (πŸ₯ˆ28 Β· ⭐ 4.1K) - A python wrapper for Alpha Vantage API for financial data. MIT -- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 710 Β· πŸ“¦ 460 Β· πŸ“‹ 280 - 2% open Β· ⏱️ 11.11.2023): +- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 710 Β· πŸ“¦ 470 Β· πŸ“‹ 280 - 2% open Β· ⏱️ 11.11.2023): ``` git clone https://github.com/RomelTorres/alpha_vantage @@ -3776,19 +3795,19 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` pip install alpha_vantage ``` -- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 6.1K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 6.2K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge alpha_vantage ```
IB-insync (πŸ₯‰27 Β· ⭐ 2.5K) - Python sync/async framework for Interactive Brokers API. BSD-2 -- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 590 Β· πŸ“‹ 560 - 3% open Β· ⏱️ 11.12.2023): +- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 600 Β· πŸ“‹ 580 - 3% open Β· ⏱️ 11.12.2023): ``` git clone https://github.com/erdewit/ib_insync ``` -- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 26K / month Β· πŸ“¦ 23 Β· ⏱️ 21.11.2022): +- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 28K / month Β· πŸ“¦ 28 Β· ⏱️ 21.11.2022): ``` pip install ib_insync ``` @@ -3804,7 +3823,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/gbeced/pyalgotrade ``` -- [PyPi](https://pypi.org/project/pyalgotrade) (πŸ“₯ 630 / month Β· πŸ“¦ 21 Β· ⏱️ 21.08.2018): +- [PyPi](https://pypi.org/project/pyalgotrade) (πŸ“₯ 600 / month Β· πŸ“¦ 21 Β· ⏱️ 21.08.2018): ``` pip install pyalgotrade ``` @@ -3823,12 +3842,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
FinQuant (πŸ₯‰24 Β· ⭐ 1.2K) - A program for financial portfolio management, analysis and optimisation. MIT -- [GitHub](https://github.com/fmilthaler/FinQuant) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 160 Β· πŸ“¦ 88 Β· πŸ“‹ 48 - 33% open Β· ⏱️ 03.09.2023): +- [GitHub](https://github.com/fmilthaler/FinQuant) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 170 Β· πŸ“¦ 88 Β· πŸ“‹ 48 - 33% open Β· ⏱️ 03.09.2023): ``` git clone https://github.com/fmilthaler/FinQuant ``` -- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 390 / month Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 400 / month Β· ⏱️ 04.09.2023): ``` pip install FinQuant ``` @@ -3840,19 +3859,19 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/cuemacro/finmarketpy ``` -- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 230 / month Β· ⏱️ 01.01.2024): +- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 260 / month Β· ⏱️ 01.01.2024): ``` pip install finmarketpy ```
tf-quant-finance (πŸ₯‰20 Β· ⭐ 4.2K) - High-performance TensorFlow library for quantitative.. Apache-2 -- [GitHub](https://github.com/google/tf-quant-finance) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 540 Β· πŸ“‹ 65 - 56% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/google/tf-quant-finance) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 520 Β· πŸ“‹ 54 - 48% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/google/tf-quant-finance ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 500 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): +- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 500 / month): ``` pip install tf-quant-finance ``` @@ -3864,12 +3883,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te - arch (πŸ₯ˆ31 Β· ⭐ 1.2K) - ARCH models in Python. ❗Unlicensed - backtrader (πŸ₯ˆ29 Β· ⭐ 12K Β· πŸ’€) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - empyrical (πŸ₯ˆ28 Β· ⭐ 1.2K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 -- Alphalens (πŸ₯‰26 Β· ⭐ 2.9K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 -- TensorTrade (πŸ₯‰25 Β· ⭐ 4.3K Β· πŸ’€) - An open source reinforcement learning framework for.. Apache-2 +- TensorTrade (πŸ₯‰26 Β· ⭐ 4.3K Β· πŸ’€) - An open source reinforcement learning framework for.. Apache-2 +- Alphalens (πŸ₯‰26 Β· ⭐ 3K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 - Enigma Catalyst (πŸ₯‰25 Β· ⭐ 2.5K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - Crypto Signals (πŸ₯‰23 Β· ⭐ 4.6K Β· πŸ’€) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT - FinTA (πŸ₯‰23 Β· ⭐ 2K Β· πŸ’€) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 -- Backtesting.py (πŸ₯‰20 Β· ⭐ 4.4K Β· πŸ’€) - Backtest trading strategies in Python. ❗️AGPL-3.0 +- Backtesting.py (πŸ₯‰22 Β· ⭐ 4.5K Β· πŸ’€) - Backtest trading strategies in Python. ❗️AGPL-3.0 - surpriver (πŸ₯‰12 Β· ⭐ 1.7K Β· πŸ’€) - Find big moving stocks before they move using machine.. ❗️GPL-3.0 - pyrtfolio (πŸ₯‰8 Β· ⭐ 140 Β· πŸ’€) - Python package to generate stock portfolios. ❗️GPL-3.0
@@ -3881,14 +3900,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te _Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data._ -
sktime (πŸ₯‡38 Β· ⭐ 7.1K) - A unified framework for machine learning with time series. BSD-3 +
sktime (πŸ₯‡38 Β· ⭐ 7.2K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.2K Β· πŸ“₯ 84 Β· πŸ“¦ 2.1K Β· πŸ“‹ 2.1K - 35% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.2K Β· πŸ“₯ 84 Β· πŸ“¦ 2.1K Β· πŸ“‹ 2.1K - 36% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/alan-turing-institute/sktime ``` -- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 650K / month Β· πŸ“¦ 59 Β· ⏱️ 27.12.2023): +- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 630K / month Β· πŸ“¦ 59 Β· ⏱️ 27.12.2023): ``` pip install sktime ``` @@ -3904,7 +3923,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/facebook/prophet ``` -- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 770K / month Β· πŸ“¦ 130 Β· ⏱️ 05.09.2020): +- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 760K / month Β· πŸ“¦ 130 Β· ⏱️ 05.09.2020): ``` pip install fbprophet ``` @@ -3915,12 +3934,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
StatsForecast (πŸ₯‡33 Β· ⭐ 3.3K) - Lightning fast forecasting with statistical and econometric.. Apache-2 -- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 220 Β· πŸ“¦ 660 Β· πŸ“‹ 270 - 31% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 220 Β· πŸ“¦ 660 Β· πŸ“‹ 280 - 33% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/Nixtla/statsforecast ``` -- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 440K / month Β· πŸ“¦ 26 Β· ⏱️ 05.01.2024): +- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 420K / month Β· πŸ“¦ 26 Β· ⏱️ 05.01.2024): ``` pip install statsforecast ``` @@ -3929,7 +3948,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge statsforecast ```
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tslearn (πŸ₯‡33 Β· ⭐ 2.7K) - The machine learning toolkit for time series analysis in Python. BSD-2 +
tslearn (πŸ₯ˆ32 Β· ⭐ 2.7K) - The machine learning toolkit for time series analysis in Python. BSD-2 - [GitHub](https://github.com/tslearn-team/tslearn) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 320 Β· πŸ“¦ 1.1K Β· πŸ“‹ 320 - 39% open Β· ⏱️ 22.12.2023): @@ -3947,7 +3966,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
pmdarima (πŸ₯ˆ32 Β· ⭐ 1.5K) - A statistical library designed to fill the void in Pythons time series.. MIT -- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 230 Β· πŸ“¦ 7K Β· πŸ“‹ 320 - 15% open Β· ⏱️ 23.10.2023): +- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 230 Β· πŸ“¦ 7.1K Β· πŸ“‹ 320 - 15% open Β· ⏱️ 23.10.2023): ``` git clone https://github.com/alkaline-ml/pmdarima @@ -3963,12 +3982,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Darts (πŸ₯ˆ31 Β· ⭐ 6.9K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 750 Β· πŸ“¦ 490 Β· πŸ“‹ 1.3K - 19% open Β· ⏱️ 29.12.2023): +- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 750 Β· πŸ“¦ 490 Β· πŸ“‹ 1.3K - 19% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/unit8co/darts ``` -- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 17K / month Β· πŸ“¦ 5 Β· ⏱️ 10.12.2023): +- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 18K / month Β· πŸ“¦ 5 Β· ⏱️ 10.12.2023): ``` pip install u8darts ``` @@ -3976,31 +3995,31 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` conda install -c conda-forge u8darts-all ``` -- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 460 Β· ⏱️ 10.12.2023): +- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 500 Β· ⏱️ 10.12.2023): ``` docker pull unit8/darts ```
NeuralProphet (πŸ₯ˆ31 Β· ⭐ 3.5K) - NeuralProphet: A simple forecasting package. MIT -- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 450 Β· πŸ“¦ 360 Β· πŸ“‹ 500 - 8% open Β· ⏱️ 23.12.2023): +- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 450 Β· πŸ“¦ 360 Β· πŸ“‹ 500 - 8% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/ourownstory/neural_prophet ``` -- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 92K / month Β· πŸ“¦ 5 Β· ⏱️ 11.12.2023): +- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 91K / month Β· πŸ“¦ 5 Β· ⏱️ 11.12.2023): ``` pip install neuralprophet ```
STUMPY (πŸ₯ˆ31 Β· ⭐ 2.9K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 -- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 270 Β· πŸ“¦ 620 Β· πŸ“‹ 460 - 11% open Β· ⏱️ 05.01.2024): +- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 270 Β· πŸ“¦ 620 Β· πŸ“‹ 460 - 11% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/TDAmeritrade/stumpy ``` -- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 170K / month Β· πŸ“¦ 16 Β· ⏱️ 21.08.2023): +- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 180K / month Β· πŸ“¦ 16 Β· ⏱️ 21.08.2023): ``` pip install stumpy ``` @@ -4011,7 +4030,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
GluonTS (πŸ₯ˆ30 Β· ⭐ 4K) - Probabilistic time series modeling in Python. Apache-2 -- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 750 Β· πŸ“‹ 910 - 31% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 750 Β· πŸ“‹ 910 - 31% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/awslabs/gluon-ts @@ -4032,7 +4051,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/jdb78/pytorch-forecasting ``` -- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 48K / month Β· πŸ“¦ 10 Β· ⏱️ 26.07.2020): +- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 45K / month Β· πŸ“¦ 10 Β· ⏱️ 26.07.2020): ``` pip install pytorch-forecasting ``` @@ -4043,7 +4062,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
NeuralForecast (πŸ₯ˆ29 Β· ⭐ 2.1K) - Scalable and user friendly neural forecasting algorithms. Apache-2 -- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 230 Β· πŸ“¦ 88 Β· πŸ“‹ 390 - 21% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 240 Β· πŸ“¦ 95 Β· πŸ“‹ 400 - 22% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/Nixtla/neuralforecast @@ -4052,19 +4071,19 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` pip install neuralforecast ``` -- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 12K Β· ⏱️ 06.10.2023): +- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 13K Β· ⏱️ 06.10.2023): ``` conda install -c conda-forge neuralforecast ```
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tsfresh (πŸ₯ˆ28 Β· ⭐ 7.9K) - Automatic extraction of relevant features from time series:. MIT +
tsfresh (πŸ₯ˆ28 Β· ⭐ 8K) - Automatic extraction of relevant features from time series:. MIT - [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 1.2K Β· πŸ“¦ 21 Β· πŸ“‹ 530 - 11% open Β· ⏱️ 24.10.2023): ``` git clone https://github.com/blue-yonder/tsfresh ``` -- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 180K / month Β· πŸ“¦ 77 Β· ⏱️ 14.06.2023): +- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 190K / month Β· πŸ“¦ 77 Β· ⏱️ 14.06.2023): ``` pip install tsfresh ``` @@ -4073,14 +4092,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge tsfresh ```
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skforecast (πŸ₯ˆ28 Β· ⭐ 770) - Time series forecasting with scikit-learn models. BSD-3 +
skforecast (πŸ₯ˆ28 Β· ⭐ 780) - Time series forecasting with scikit-learn models. BSD-3 -- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 94 Β· πŸ“¦ 230 Β· πŸ“‹ 110 - 14% open Β· ⏱️ 31.12.2023): +- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 94 Β· πŸ“¦ 230 Β· πŸ“‹ 110 - 15% open Β· ⏱️ 31.12.2023): ``` git clone https://github.com/JoaquinAmatRodrigo/skforecast ``` -- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 45K / month Β· πŸ“¦ 6 Β· ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 46K / month Β· πŸ“¦ 6 Β· ⏱️ 16.11.2023): ``` pip install skforecast ``` @@ -4103,7 +4122,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
uber/orbit (πŸ₯‰24 Β· ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 130 Β· πŸ“¦ 42 Β· πŸ“‹ 390 - 13% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 130 Β· πŸ“¦ 42 Β· πŸ“‹ 400 - 13% open Β· ⏱️ 12.01.2024): ``` git clone https://github.com/uber/orbit @@ -4117,7 +4136,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge orbit-ml ```
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TSFEL (πŸ₯‰23 Β· ⭐ 780) - An intuitive library to extract features from time series. BSD-3 +
TSFEL (πŸ₯‰23 Β· ⭐ 790) - An intuitive library to extract features from time series. BSD-3 - [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 130 Β· πŸ“¦ 110 Β· πŸ“‹ 69 - 7% open Β· ⏱️ 24.11.2023): @@ -4129,14 +4148,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l pip install tsfel ```
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greykite (πŸ₯‰22 Β· ⭐ 1.8K Β· πŸ’€) - A flexible, intuitive and fast forecasting library. BSD-2 +
greykite (πŸ₯‰22 Β· ⭐ 1.8K) - A flexible, intuitive and fast forecasting library. BSD-2 -- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 100 Β· πŸ“₯ 7 Β· πŸ“¦ 26 Β· πŸ“‹ 100 - 22% open Β· ⏱️ 07.06.2023): +- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 100 Β· πŸ“₯ 9 Β· πŸ“¦ 26 Β· πŸ“‹ 100 - 25% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/linkedin/greykite ``` -- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 12K / month Β· ⏱️ 15.07.2022): +- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 11K / month Β· ⏱️ 12.01.2024): ``` pip install greykite ``` @@ -4148,7 +4167,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/X-DataInitiative/tick ``` -- [PyPi](https://pypi.org/project/tick) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 24.05.2020): +- [PyPi](https://pypi.org/project/tick) (πŸ“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 24.05.2020): ``` pip install tick ``` @@ -4160,19 +4179,31 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/linkedin/luminol ``` -- [PyPi](https://pypi.org/project/luminol) (πŸ“₯ 7.9K / month Β· πŸ“¦ 15 Β· ⏱️ 11.12.2017): +- [PyPi](https://pypi.org/project/luminol) (πŸ“₯ 7K / month Β· πŸ“¦ 15 Β· ⏱️ 11.12.2017): ``` pip install luminol ```
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pydlm (πŸ₯‰19 Β· ⭐ 460) - A python library for Bayesian time series modeling. BSD-3 +
Auto TS (πŸ₯‰19 Β· ⭐ 660) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 + +- [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 110 Β· ⏱️ 03.12.2023): + + ``` + git clone https://github.com/AutoViML/Auto_TS + ``` +- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 3.8K / month Β· ⏱️ 03.12.2023): + ``` + pip install auto-ts + ``` +
+
pydlm (πŸ₯‰18 Β· ⭐ 470) - A python library for Bayesian time series modeling. BSD-3 -- [GitHub](https://github.com/wwrechard/pydlm) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 97 Β· πŸ“¦ 32 Β· πŸ“‹ 49 - 75% open Β· ⏱️ 04.09.2023): +- [GitHub](https://github.com/wwrechard/pydlm) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 95 Β· πŸ“¦ 33 Β· πŸ“‹ 48 - 75% open Β· ⏱️ 04.09.2023): ``` git clone https://github.com/wwrechard/pydlm ``` -- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 22K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): +- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 21K / month): ``` pip install pydlm ``` @@ -4193,25 +4224,13 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge tsflex ```
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Auto TS (πŸ₯‰17 Β· ⭐ 650) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 - -- [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 110 Β· ⏱️ 03.12.2023): - - ``` - git clone https://github.com/AutoViML/Auto_TS - ``` -- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 3.7K / month): - ``` - pip install auto-ts - ``` -
Show 8 hidden projects... - Streamz (πŸ₯‰26 Β· ⭐ 1.2K Β· πŸ’€) - Real-time stream processing for python. BSD-3 - PyFlux (πŸ₯‰24 Β· ⭐ 2.1K Β· πŸ’€) - Open source time series library for Python. BSD-3 -- ADTK (πŸ₯‰20 Β· ⭐ 990 Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0 +- ADTK (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0 - seglearn (πŸ₯‰20 Β· ⭐ 560 Β· πŸ’€) - Python module for machine learning time series:. BSD-3 -- matrixprofile-ts (πŸ₯‰19 Β· ⭐ 720 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 +- matrixprofile-ts (πŸ₯‰17 Β· ⭐ 720 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 - atspy (πŸ₯‰14 Β· ⭐ 500 Β· πŸ’€) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT - tsaug (πŸ₯‰13 Β· ⭐ 330 Β· πŸ’€) - A Python package for time series augmentation. Apache-2 - tslumen (πŸ₯‰8 Β· ⭐ 55 Β· πŸ’€) - A library for Time Series EDA (exploratory data analysis). Apache-2 @@ -4226,28 +4245,28 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (πŸ₯‡38 Β· ⭐ 2.4K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 1.3K Β· πŸ“¦ 3.4K Β· πŸ“‹ 4.7K - 10% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 1.3K Β· πŸ“¦ 3.4K Β· πŸ“‹ 4.7K - 10% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/mne-tools/mne-python ``` -- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 80K / month Β· πŸ“¦ 290 Β· ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 86K / month Β· πŸ“¦ 290 Β· ⏱️ 16.01.2024): ``` pip install mne ``` -- [Conda](https://anaconda.org/conda-forge/mne) (πŸ“₯ 340K Β· ⏱️ 20.11.2023): +- [Conda](https://anaconda.org/conda-forge/mne) (πŸ“₯ 340K Β· ⏱️ 16.01.2024): ``` conda install -c conda-forge mne ```
MONAI (πŸ₯‡36 Β· ⭐ 5K) - AI Toolkit for Healthcare Imaging. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 920 Β· πŸ“¦ 1.7K Β· πŸ“‹ 2.8K - 9% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 920 Β· πŸ“¦ 1.7K Β· πŸ“‹ 2.9K - 9% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/Project-MONAI/MONAI ``` -- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 120K / month Β· πŸ“¦ 48 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 120K / month Β· πŸ“¦ 49 Β· ⏱️ 12.10.2023): ``` pip install monai ``` @@ -4258,12 +4277,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Nilearn (πŸ₯ˆ35 Β· ⭐ 1.1K) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 540 Β· πŸ“₯ 150 Β· πŸ“¦ 2.8K Β· πŸ“‹ 2K - 14% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 540 Β· πŸ“₯ 150 Β· πŸ“¦ 2.8K Β· πŸ“‹ 2K - 14% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 39K / month Β· πŸ“¦ 290 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 37K / month Β· πŸ“¦ 290 Β· ⏱️ 29.09.2023): ``` pip install nilearn ``` @@ -4279,7 +4298,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/nipy/nibabel ``` -- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 380K / month Β· πŸ“¦ 1.2K Β· ⏱️ 11.12.2023): +- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 370K / month Β· πŸ“¦ 1.2K Β· ⏱️ 11.12.2023): ``` pip install nibabel ``` @@ -4290,12 +4309,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Lifelines (πŸ₯ˆ33 Β· ⭐ 2.2K) - Survival analysis in Python. MIT -- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 580 Β· πŸ“¦ 2.1K Β· πŸ“‹ 950 - 25% open Β· ⏱️ 03.01.2024): +- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 580 Β· πŸ“¦ 2.1K Β· πŸ“‹ 950 - 25% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/CamDavidsonPilon/lifelines ``` -- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 350K / month Β· πŸ“¦ 130 Β· ⏱️ 03.01.2024): +- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 370K / month Β· πŸ“¦ 130 Β· ⏱️ 03.01.2024): ``` pip install lifelines ``` @@ -4311,7 +4330,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/nipy/nipype ``` -- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 72K / month Β· πŸ“¦ 180 Β· ⏱️ 06.04.2023): +- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 71K / month Β· πŸ“¦ 180 Β· ⏱️ 06.04.2023): ``` pip install nipype ``` @@ -4322,17 +4341,17 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Hail (πŸ₯ˆ32 Β· ⭐ 900) - Cloud-native genomic dataframes and batch computing. MIT -- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 230 Β· πŸ“¦ 120 Β· πŸ“‹ 2.3K - 7% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 240 Β· πŸ“¦ 120 Β· πŸ“‹ 2.4K - 8% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 29K / month Β· πŸ“¦ 17 Β· ⏱️ 30.10.2023): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 33K / month Β· πŸ“¦ 17 Β· ⏱️ 12.01.2024): ``` pip install hail ```
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DeepVariant (πŸ₯‰26 Β· ⭐ 3K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 +
DeepVariant (πŸ₯‰25 Β· ⭐ 3K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 - [GitHub](https://github.com/google/deepvariant) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 680 Β· πŸ“₯ 4.7K Β· πŸ“‹ 700 - 0% open Β· ⏱️ 09.12.2023): @@ -4351,7 +4370,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/brainiak/brainiak ``` -- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 77 / month Β· πŸ“¦ 1 Β· ⏱️ 15.10.2020): +- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 89 / month Β· πŸ“¦ 1 Β· ⏱️ 15.10.2020): ``` pip install brainiak ``` @@ -4381,26 +4400,26 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic _Libraries for processing tabular and structured data._ -
pytorch_tabular (πŸ₯ˆ21 Β· ⭐ 1.1K) - A standard framework for modelling Deep Learning Models.. MIT +
pytorch_tabular (πŸ₯ˆ22 Β· ⭐ 1.1K) - A standard framework for modelling Deep Learning Models.. MIT -- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“₯ 21 Β· πŸ“‹ 130 - 10% open Β· ⏱️ 06.01.2024): +- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“₯ 21 Β· πŸ“‹ 120 - 5% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/manujosephv/pytorch_tabular ``` -- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 2.1K / month Β· πŸ“¦ 2 Β· ⏱️ 01.09.2021): +- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 2.7K / month Β· πŸ“¦ 2 Β· ⏱️ 15.01.2024): ``` pip install pytorch_tabular ```
-
carefree-learn (πŸ₯ˆ21 Β· ⭐ 400) - Deep Learning PyTorch. MIT +
carefree-learn (πŸ₯‰21 Β· ⭐ 400) - Deep Learning PyTorch. MIT - [GitHub](https://github.com/carefree0910/carefree-learn) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 38 Β· πŸ“¦ 5 Β· πŸ“‹ 82 - 2% open Β· ⏱️ 11.12.2023): ``` git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 360 / month Β· ⏱️ 09.01.2024): +- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 460 / month Β· ⏱️ 09.01.2024): ``` pip install carefree-learn ``` @@ -4408,7 +4427,7 @@ _Libraries for processing tabular and structured data._
Show 3 hidden projects... - miceforest (πŸ₯‡23 Β· ⭐ 280) - Multiple Imputation with LightGBM in Python. MIT -- upgini (πŸ₯‰20 Β· ⭐ 260) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 +- upgini (πŸ₯‰21 Β· ⭐ 270) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 - deltapy (πŸ₯‰12 Β· ⭐ 520 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT

@@ -4421,36 +4440,36 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
PaddleOCR (πŸ₯‡38 Β· ⭐ 36K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 7K Β· πŸ“¦ 2.1K Β· πŸ“‹ 8.5K - 13% open Β· ⏱️ 02.01.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 7K Β· πŸ“¦ 2.2K Β· πŸ“‹ 8.5K - 13% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` -- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 110K / month Β· πŸ“¦ 37 Β· ⏱️ 15.09.2023): +- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 120K / month Β· πŸ“¦ 37 Β· ⏱️ 15.09.2023): ``` pip install paddleocr ```
-
EasyOCR (πŸ₯‡35 Β· ⭐ 21K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 +
EasyOCR (πŸ₯‡36 Β· ⭐ 21K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 -- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.9K Β· πŸ“₯ 8.1M Β· πŸ“¦ 4.8K Β· πŸ“‹ 930 - 37% open Β· ⏱️ 04.09.2023): +- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.9K Β· πŸ“₯ 8.2M Β· πŸ“¦ 4.9K Β· πŸ“‹ 930 - 37% open Β· ⏱️ 04.09.2023): ``` git clone https://github.com/JaidedAI/EasyOCR ``` -- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 250K / month Β· πŸ“¦ 92 Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 270K / month Β· πŸ“¦ 92 Β· ⏱️ 04.09.2023): ``` pip install easyocr ```
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OCRmyPDF (πŸ₯ˆ34 Β· ⭐ 11K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 +
OCRmyPDF (πŸ₯ˆ35 Β· ⭐ 11K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 830 Β· πŸ“₯ 1.8K Β· πŸ“¦ 700 Β· πŸ“‹ 1.1K - 8% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 830 Β· πŸ“₯ 1.9K Β· πŸ“¦ 710 Β· πŸ“‹ 1.1K - 8% open Β· ⏱️ 09.01.2024): ``` git clone https://github.com/ocrmypdf/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 53K / month Β· πŸ“¦ 19 Β· ⏱️ 07.01.2024): +- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 59K / month Β· πŸ“¦ 19 Β· ⏱️ 07.01.2024): ``` pip install ocrmypdf ``` @@ -4459,14 +4478,14 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c conda-forge ocrmypdf ```
-
Tesseract (πŸ₯ˆ33 Β· ⭐ 5.3K Β· πŸ“ˆ) - Python-tesseract is an optical character recognition (OCR).. Apache-2 +
Tesseract (πŸ₯ˆ33 Β· ⭐ 5.3K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 - [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 680 Β· πŸ“‹ 350 - 3% open Β· ⏱️ 10.01.2024): ``` git clone https://github.com/madmaze/pytesseract ``` -- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 1.2M / month Β· πŸ“¦ 1.2K Β· ⏱️ 16.08.2022): +- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 1.1M / month Β· πŸ“¦ 1.2K Β· ⏱️ 16.08.2022): ``` pip install pytesseract ``` @@ -4477,12 +4496,12 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
tesserocr (πŸ₯ˆ29 Β· ⭐ 1.9K) - A Python wrapper for the tesseract-ocr API. MIT -- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 250 Β· πŸ“₯ 78 Β· πŸ“¦ 920 Β· πŸ“‹ 270 - 18% open Β· ⏱️ 09.10.2023): +- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 260 Β· πŸ“₯ 78 Β· πŸ“¦ 930 Β· πŸ“‹ 270 - 18% open Β· ⏱️ 09.10.2023): ``` git clone https://github.com/sirfz/tesserocr ``` -- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 45K / month): +- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 44K / month Β· πŸ“¦ 72 Β· ⏱️ 09.10.2023): ``` pip install tesserocr ``` @@ -4493,7 +4512,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
MMOCR (πŸ₯‰26 Β· ⭐ 3.9K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 -- [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 710 Β· πŸ“¦ 110 Β· πŸ“‹ 900 - 17% open Β· ⏱️ 01.09.2023): +- [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 710 Β· πŸ“¦ 110 Β· πŸ“‹ 900 - 18% open Β· ⏱️ 01.09.2023): ``` git clone https://github.com/open-mmlab/mmocr @@ -4505,12 +4524,12 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
keras-ocr (πŸ₯‰25 Β· ⭐ 1.3K) - A packaged and flexible version of the CRAFT text detector and.. MIT -- [GitHub](https://github.com/faustomorales/keras-ocr) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 320 Β· πŸ“₯ 770K Β· πŸ“¦ 390 Β· ⏱️ 06.11.2023): +- [GitHub](https://github.com/faustomorales/keras-ocr) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 320 Β· πŸ“₯ 780K Β· πŸ“¦ 400 Β· ⏱️ 06.11.2023): ``` git clone https://github.com/faustomorales/keras-ocr ``` -- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 24K / month Β· πŸ“¦ 8 Β· ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 25K / month Β· πŸ“¦ 8 Β· ⏱️ 06.11.2023): ``` pip install keras-ocr ``` @@ -4531,22 +4550,22 @@ _Libraries for optical character recognition (OCR) and text extraction from imag pip install calamari_ocr ```
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attention-ocr (πŸ₯‰20 Β· ⭐ 1K) - A Tensorflow model for text recognition (CNN + seq2seq with.. MIT +
attention-ocr (πŸ₯‰21 Β· ⭐ 1K) - A Tensorflow model for text recognition (CNN + seq2seq with.. MIT - [GitHub](https://github.com/emedvedev/attention-ocr) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 250 Β· πŸ“¦ 28 Β· πŸ“‹ 150 - 16% open Β· ⏱️ 20.10.2023): ``` git clone https://github.com/emedvedev/attention-ocr ``` -- [PyPi](https://pypi.org/project/aocr) (πŸ“₯ 220 / month): +- [PyPi](https://pypi.org/project/aocr) (πŸ“₯ 230 / month Β· ⏱️ 19.04.2019): ``` pip install aocr ```
Show 3 hidden projects... -- pdftabextract (πŸ₯‰21 Β· ⭐ 2.1K Β· πŸ’€) - A set of tools for extracting tables from PDF files.. Apache-2 -- doc2text (πŸ₯‰18 Β· ⭐ 1.3K Β· πŸ’€) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT +- doc2text (πŸ₯‰20 Β· ⭐ 1.3K Β· πŸ’€) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT +- pdftabextract (πŸ₯‰19 Β· ⭐ 2.1K Β· πŸ’€) - A set of tools for extracting tables from PDF files.. Apache-2 - Mozart (πŸ₯‰10 Β· ⭐ 540 Β· πŸ’€) - An optical music recognition (OMR) system. Converts sheet.. Apache-2

@@ -4597,9 +4616,9 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched _Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure._ -
Ray (πŸ₯‡44 Β· ⭐ 29K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 +
Ray (πŸ₯‡43 Β· ⭐ 30K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 960 Β· πŸ”€ 5K Β· πŸ“₯ 180 Β· πŸ“¦ 13K Β· πŸ“‹ 17K - 20% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 960 Β· πŸ”€ 5K Β· πŸ“₯ 190 Β· πŸ“¦ 13K Β· πŸ“‹ 17K - 20% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/ray-project/ray @@ -4608,67 +4627,67 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` pip install ray ``` -- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 180K Β· ⏱️ 05.12.2023): +- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 180K Β· ⏱️ 15.01.2024): ``` conda install -c conda-forge ray-tune ```
dask (πŸ₯‡43 Β· ⭐ 12K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 1.7K Β· πŸ“¦ 56K Β· πŸ“‹ 5.1K - 20% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 1.7K Β· πŸ“¦ 56K Β· πŸ“‹ 5.1K - 20% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 6M / month Β· πŸ“¦ 3.1K Β· ⏱️ 15.12.2023): +- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 5.6M / month Β· πŸ“¦ 3.1K Β· ⏱️ 12.01.2024): ``` pip install dask ``` -- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 11M Β· ⏱️ 15.12.2023): +- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 11M Β· ⏱️ 13.01.2024): ``` conda install -c conda-forge dask ```
DeepSpeed (πŸ₯‡40 Β· ⭐ 31K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 -- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 3.7K Β· πŸ“¦ 5.4K Β· πŸ“‹ 2.4K - 37% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 3.7K Β· πŸ“¦ 5.5K Β· πŸ“‹ 2.4K - 37% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 340K / month Β· πŸ“¦ 98 Β· ⏱️ 21.12.2023): +- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 350K / month Β· πŸ“¦ 100 Β· ⏱️ 21.12.2023): ``` pip install deepspeed ``` -- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (πŸ“₯ 17K Β· ⭐ 4 Β· ⏱️ 02.09.2022): +- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (πŸ“₯ 18K Β· ⭐ 4 Β· ⏱️ 02.09.2022): ``` docker pull deepspeed/deepspeed ```
-
dask.distributed (πŸ₯‡40 Β· ⭐ 1.5K) - A distributed task scheduler for Dask. BSD-3 +
dask.distributed (πŸ₯‡39 Β· ⭐ 1.5K) - A distributed task scheduler for Dask. BSD-3 -- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 710 Β· πŸ“¦ 32K Β· πŸ“‹ 3.8K - 38% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 710 Β· πŸ“¦ 32K Β· πŸ“‹ 3.8K - 38% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 3.1M / month Β· πŸ“¦ 1.3K Β· ⏱️ 15.12.2023): +- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 2.8M / month Β· πŸ“¦ 1.3K Β· ⏱️ 12.01.2024): ``` pip install distributed ``` -- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 13M Β· ⏱️ 15.12.2023): +- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 13M Β· ⏱️ 13.01.2024): ``` conda install -c conda-forge distributed ```
BigDL (πŸ₯ˆ36 Β· ⭐ 4.7K) - Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations.. Apache-2 -- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.2K Β· πŸ“₯ 190 Β· πŸ“¦ 46 Β· πŸ“‹ 2.3K - 41% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.2K Β· πŸ“₯ 190 Β· πŸ“¦ 47 Β· πŸ“‹ 2.3K - 41% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 5.8K / month Β· πŸ“¦ 1 Β· ⏱️ 11.01.2024): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 4.5K / month Β· πŸ“¦ 1 Β· ⏱️ 18.01.2024): ``` pip install bigdl ``` @@ -4681,32 +4700,32 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ```
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metrics (πŸ₯ˆ36 Β· ⭐ 1.8K) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2 +
H2O-3 (πŸ₯ˆ35 Β· ⭐ 6.6K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 340 Β· πŸ“₯ 4.5K Β· πŸ“¦ 19K Β· πŸ“‹ 750 - 7% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2K Β· πŸ“¦ 21 Β· πŸ“‹ 9.2K - 29% open Β· ⏱️ 12.01.2024): ``` - git clone https://github.com/Lightning-AI/metrics - ``` -- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 2.5K / month Β· πŸ“¦ 13 Β· ⏱️ 28.04.2018): - ``` - pip install metrics + git clone https://github.com/h2oai/h2o-3 ``` -- [Conda](https://anaconda.org/conda-forge/torchmetrics) (πŸ“₯ 1.2M Β· ⏱️ 01.12.2023): +- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 370K / month Β· πŸ“¦ 82 Β· ⏱️ 20.12.2023): ``` - conda install -c conda-forge torchmetrics + pip install h2o ```
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H2O-3 (πŸ₯ˆ35 Β· ⭐ 6.6K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 +
metrics (πŸ₯ˆ35 Β· ⭐ 1.8K) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2 -- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2K Β· πŸ“¦ 21 Β· πŸ“‹ 9.2K - 29% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 340 Β· πŸ“₯ 4.6K Β· πŸ“¦ 20K Β· πŸ“‹ 760 - 7% open Β· ⏱️ 17.01.2024): ``` - git clone https://github.com/h2oai/h2o-3 + git clone https://github.com/Lightning-AI/metrics ``` -- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 380K / month Β· πŸ“¦ 82 Β· ⏱️ 20.12.2023): +- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 2.3K / month Β· πŸ“¦ 13 Β· ⏱️ 28.04.2018): ``` - pip install h2o + pip install metrics + ``` +- [Conda](https://anaconda.org/conda-forge/torchmetrics) (πŸ“₯ 1.2M Β· ⏱️ 01.12.2023): + ``` + conda install -c conda-forge torchmetrics ```
horovod (πŸ₯ˆ34 Β· ⭐ 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2 @@ -4716,14 +4735,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/horovod/horovod ``` -- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 50K / month Β· πŸ“¦ 36 Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 47K / month Β· πŸ“¦ 36 Β· ⏱️ 12.06.2023): ``` pip install horovod ```
ColossalAI (πŸ₯ˆ33 Β· ⭐ 36K) - Making large AI models cheaper, faster and more accessible. Apache-2 -- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 4.1K Β· πŸ“¦ 290 Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 4.1K Β· πŸ“¦ 290 Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/hpcaitech/colossalai @@ -4731,12 +4750,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
FairScale (πŸ₯ˆ31 Β· ⭐ 2.7K Β· πŸ’€) - PyTorch extensions for high performance and large scale.. BSD-3 -- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 240 Β· πŸ“¦ 3.9K Β· πŸ“‹ 350 - 20% open Β· ⏱️ 20.04.2023): +- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 240 Β· πŸ“¦ 4K Β· πŸ“‹ 350 - 20% open Β· ⏱️ 20.04.2023): ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 370K / month Β· πŸ“¦ 66 Β· ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 380K / month Β· πŸ“¦ 66 Β· ⏱️ 11.12.2022): ``` pip install fairscale ``` @@ -4747,7 +4766,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
SynapseML (πŸ₯ˆ30 Β· ⭐ 4.9K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 820 Β· πŸ“‹ 720 - 45% open Β· ⏱️ 05.12.2023): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 820 Β· πŸ“‹ 720 - 45% open Β· ⏱️ 12.01.2024): ``` git clone https://github.com/microsoft/SynapseML @@ -4759,12 +4778,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
mpi4py (πŸ₯ˆ29 Β· ⭐ 730) - Python bindings for MPI. BSD-2 -- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 110 Β· πŸ“₯ 20K Β· πŸ“‹ 140 - 7% open Β· ⏱️ 28.12.2023): +- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 110 Β· πŸ“₯ 20K Β· πŸ“‹ 150 - 7% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/mpi4py/mpi4py ``` -- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 140K / month Β· πŸ“¦ 740 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 170K / month Β· πŸ“¦ 740 Β· ⏱️ 04.10.2023): ``` pip install mpi4py ``` @@ -4775,12 +4794,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask-ml (πŸ₯‰28 Β· ⭐ 870 Β· πŸ’€) - Scalable Machine Learning with Dask. BSD-3 -- [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 240 Β· πŸ“¦ 930 Β· πŸ“‹ 520 - 51% open Β· ⏱️ 24.03.2023): +- [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 250 Β· πŸ“¦ 940 Β· πŸ“‹ 520 - 51% open Β· ⏱️ 24.03.2023): ``` git clone https://github.com/dask/dask-ml ``` -- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 180K / month Β· πŸ“¦ 74 Β· ⏱️ 24.03.2023): +- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 170K / month Β· πŸ“¦ 74 Β· ⏱️ 24.03.2023): ``` pip install dask-ml ``` @@ -4796,7 +4815,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/yahoo/TensorFlowOnSpark ``` -- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 550K / month Β· πŸ“¦ 5 Β· ⏱️ 21.04.2022): +- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 560K / month Β· πŸ“¦ 5 Β· ⏱️ 21.04.2022): ``` pip install tensorflowonspark ``` @@ -4824,7 +4843,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/tensorflow/mesh ``` -- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 22K / month Β· πŸ“¦ 30 Β· ⏱️ 15.05.2022): +- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 19K / month Β· πŸ“¦ 30 Β· ⏱️ 15.05.2022): ``` pip install mesh-tensorflow ``` @@ -4836,7 +4855,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/facebookincubator/submitit ``` -- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 310K / month Β· πŸ“¦ 19 Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 300K / month Β· πŸ“¦ 20 Β· ⏱️ 09.11.2023): ``` pip install submitit ``` @@ -4847,7 +4866,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
MMLSpark (πŸ₯‰24 Β· ⭐ 4.9K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 820 Β· πŸ“‹ 720 - 45% open Β· ⏱️ 05.12.2023): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 820 Β· πŸ“‹ 720 - 45% open Β· ⏱️ 12.01.2024): ``` git clone https://github.com/microsoft/SynapseML @@ -4859,19 +4878,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Hivemind (πŸ₯‰24 Β· ⭐ 1.8K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT -- [GitHub](https://github.com/learning-at-home/hivemind) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 120 Β· πŸ“¦ 86 Β· πŸ“‹ 160 - 37% open Β· ⏱️ 04.12.2023): +- [GitHub](https://github.com/learning-at-home/hivemind) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 120 Β· πŸ“¦ 87 Β· πŸ“‹ 160 - 37% open Β· ⏱️ 04.12.2023): ``` git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 6.6K / month Β· πŸ“¦ 7 Β· ⏱️ 31.08.2023): +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 6.4K / month Β· πŸ“¦ 7 Β· ⏱️ 31.08.2023): ``` pip install hivemind ```
Apache Singa (πŸ₯‰23 Β· ⭐ 3K) - a distributed deep learning platform. Apache-2 -- [GitHub](https://github.com/apache/singa) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 1K Β· πŸ“¦ 3 Β· πŸ“‹ 120 - 42% open Β· ⏱️ 05.11.2023): +- [GitHub](https://github.com/apache/singa) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 1.1K Β· πŸ“¦ 3 Β· πŸ“‹ 120 - 42% open Β· ⏱️ 05.11.2023): ``` git clone https://github.com/apache/singa @@ -4880,7 +4899,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` conda install -c nusdbsystem singa ``` -- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 5.3K Β· ⭐ 4 Β· ⏱️ 31.05.2022): +- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 5.4K Β· ⭐ 4 Β· ⏱️ 31.05.2022): ``` docker pull apache/singa ``` @@ -4892,32 +4911,20 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/intel-analytics/analytics-zoo ``` -- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 340 / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): +- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 300 / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): ``` pip install analytics-zoo ```
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launchpad (πŸ₯‰21 Β· ⭐ 300) - Launchpad is a library that simplifies writing distributed.. Apache-2 +
mesh-transformer-jax (πŸ₯‰18 Β· ⭐ 6.2K Β· πŸ’€) - Model parallel transformers in JAX and Haiku. Apache-2 -- [GitHub](https://github.com/google-deepmind/launchpad) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 33 Β· πŸ“¦ 79 Β· πŸ“‹ 39 - 46% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 870 Β· πŸ“¦ 20 Β· πŸ“‹ 200 - 22% open Β· ⏱️ 12.01.2023): ``` - git clone https://github.com/deepmind/launchpad - ``` -- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 1.7K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): - ``` - pip install dm-launchpad + git clone https://github.com/kingoflolz/mesh-transformer-jax ```
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mesh-transformer-jax (πŸ₯‰18 Β· ⭐ 6.2K Β· πŸ’€) - Model parallel transformers in JAX and Haiku. Apache-2 - -- [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 870 Β· πŸ“¦ 20 Β· πŸ“‹ 200 - 22% open Β· ⏱️ 12.01.2023): - - ``` - git clone https://github.com/kingoflolz/mesh-transformer-jax - ``` -
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Show 13 hidden projects... +
Show 14 hidden projects... - DEAP (πŸ₯ˆ32 Β· ⭐ 5.4K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 - ipyparallel (πŸ₯ˆ29 Β· ⭐ 2.5K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed @@ -4925,11 +4932,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn - BytePS (πŸ₯‰20 Β· ⭐ 3.5K Β· πŸ’€) - A high performance and generic framework for distributed DNN.. Apache-2 - TensorFrames (πŸ₯‰20 Β· ⭐ 750 Β· πŸ’€) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 - sk-dist (πŸ₯‰20 Β· ⭐ 290 Β· πŸ’€) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 -- somoclu (πŸ₯‰20 Β· ⭐ 260 Β· πŸ’€) - Massively parallel self-organizing maps: accelerate training on.. MIT +- somoclu (πŸ₯‰19 Β· ⭐ 260) - Massively parallel self-organizing maps: accelerate training on multicore.. MIT - Fiber (πŸ₯‰17 Β· ⭐ 1K Β· πŸ’€) - Distributed Computing for AI Made Simple. Apache-2 +- launchpad (πŸ₯‰17 Β· ⭐ 310 Β· πŸ“‰) - Apache-2 - bluefog (πŸ₯‰17 Β· ⭐ 290 Β· πŸ’€) - Distributed and decentralized training framework for PyTorch.. Apache-2 -- parallelformers (πŸ₯‰16 Β· ⭐ 730 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 -- LazyCluster (πŸ₯‰12 Β· ⭐ 49 Β· πŸ’€) - Distributed machine learning made simple. Apache-2 +- parallelformers (πŸ₯‰16 Β· ⭐ 740 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 +- LazyCluster (πŸ₯‰13 Β· ⭐ 49 Β· πŸ’€) - Distributed machine learning made simple. Apache-2 - moolib (πŸ₯‰10 Β· ⭐ 360 Β· πŸ’€) - A library for distributed ML training with PyTorch. MIT - autodist (πŸ₯‰10 Β· ⭐ 130 Β· πŸ’€) - Simple Distributed Deep Learning on TensorFlow. Apache-2
@@ -4943,12 +4951,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (πŸ₯‡34 Β· ⭐ 2.2K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 280 Β· πŸ“¦ 620 Β· πŸ“‹ 640 - 8% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 280 Β· πŸ“¦ 630 Β· πŸ“‹ 640 - 8% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/facebook/Ax ``` -- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 78K / month Β· πŸ“¦ 28 Β· ⏱️ 09.12.2023): +- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 76K / month Β· πŸ“¦ 28 Β· ⏱️ 09.12.2023): ``` pip install ax-platform ``` @@ -4959,7 +4967,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Hyperopt (πŸ₯‡33 Β· ⭐ 7K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 -- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1K Β· πŸ“¦ 13K Β· πŸ“‹ 730 - 47% open Β· ⏱️ 29.09.2023): +- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1K Β· πŸ“¦ 13K Β· πŸ“‹ 740 - 47% open Β· ⏱️ 29.09.2023): ``` git clone https://github.com/hyperopt/hyperopt @@ -4975,12 +4983,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
BoTorch (πŸ₯‡33 Β· ⭐ 2.9K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 350 Β· πŸ“¦ 790 Β· πŸ“‹ 450 - 12% open Β· ⏱️ 28.12.2023): +- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 350 Β· πŸ“¦ 810 Β· πŸ“‹ 460 - 14% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/pytorch/botorch ``` -- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 120K / month): +- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 120K / month Β· πŸ“¦ 43 Β· ⏱️ 09.12.2023): ``` pip install botorch ``` @@ -4989,14 +4997,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge botorch ```
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NNI (πŸ₯ˆ32 Β· ⭐ 13K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT +
NNI (πŸ₯ˆ32 Β· ⭐ 14K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT -- [GitHub](https://github.com/microsoft/nni) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.8K Β· πŸ“¦ 540 Β· πŸ“‹ 2K - 17% open Β· ⏱️ 26.10.2023): +- [GitHub](https://github.com/microsoft/nni) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.8K Β· πŸ“¦ 550 Β· πŸ“‹ 2K - 17% open Β· ⏱️ 26.10.2023): ``` git clone https://github.com/microsoft/nni ``` -- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 15K / month): +- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 14K / month Β· πŸ“¦ 35 Β· ⏱️ 14.09.2023): ``` pip install nni ``` @@ -5020,7 +5028,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/alteryx/featuretools ``` -- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 48K / month Β· πŸ“¦ 78 Β· ⏱️ 26.10.2023): +- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 45K / month Β· πŸ“¦ 78 Β· ⏱️ 26.10.2023): ``` pip install featuretools ``` @@ -5040,19 +5048,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` pip install keras-tuner ``` -- [Conda](https://anaconda.org/conda-forge/keras-tuner) (πŸ“₯ 27K Β· ⏱️ 10.11.2023): +- [Conda](https://anaconda.org/conda-forge/keras-tuner) (πŸ“₯ 28K Β· ⏱️ 10.11.2023): ``` conda install -c conda-forge keras-tuner ```
auto-sklearn (πŸ₯ˆ31 Β· ⭐ 7.3K Β· πŸ’€) - Automated Machine Learning with scikit-learn. BSD-3 -- [GitHub](https://github.com/automl/auto-sklearn) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1.3K Β· πŸ“₯ 51 Β· πŸ“¦ 530 Β· πŸ“‹ 1K - 18% open Β· ⏱️ 18.04.2023): +- [GitHub](https://github.com/automl/auto-sklearn) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1.3K Β· πŸ“₯ 51 Β· πŸ“¦ 540 Β· πŸ“‹ 1K - 18% open Β· ⏱️ 18.04.2023): ``` git clone https://github.com/automl/auto-sklearn ``` -- [PyPi](https://pypi.org/project/auto-sklearn) (πŸ“₯ 15K / month Β· πŸ“¦ 39 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/auto-sklearn) (πŸ“₯ 14K / month Β· πŸ“¦ 39 Β· ⏱️ 20.09.2022): ``` pip install auto-sklearn ``` @@ -5061,26 +5069,26 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge auto-sklearn ```
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Bayesian Optimization (πŸ₯ˆ30 Β· ⭐ 7.2K) - A Python implementation of global optimization with.. MIT +
Bayesian Optimization (πŸ₯ˆ30 Β· ⭐ 7.3K) - A Python implementation of global optimization with.. MIT -- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 1.5K Β· πŸ“₯ 140 Β· πŸ“¦ 2.3K Β· πŸ“‹ 320 - 3% open Β· ⏱️ 07.12.2023): +- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 1.5K Β· πŸ“₯ 140 Β· πŸ“¦ 2.3K Β· πŸ“‹ 320 - 3% open Β· ⏱️ 12.01.2024): ``` git clone https://github.com/fmfn/BayesianOptimization ``` -- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 210K / month Β· πŸ“¦ 120 Β· ⏱️ 25.04.2023): +- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 220K / month Β· πŸ“¦ 120 Β· ⏱️ 25.04.2023): ``` pip install bayesian-optimization ```
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nevergrad (πŸ₯ˆ29 Β· ⭐ 3.8K) - A Python toolbox for performing gradient-free optimization. MIT +
nevergrad (πŸ₯ˆ30 Β· ⭐ 3.8K) - A Python toolbox for performing gradient-free optimization. MIT -- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 340 Β· πŸ“¦ 600 Β· πŸ“‹ 290 - 41% open Β· ⏱️ 07.12.2023): +- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 340 Β· πŸ“¦ 600 Β· πŸ“‹ 290 - 41% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 45K / month Β· πŸ“¦ 33 Β· ⏱️ 19.11.2023): +- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 49K / month Β· πŸ“¦ 33 Β· ⏱️ 19.11.2023): ``` pip install nevergrad ``` @@ -5089,30 +5097,30 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge nevergrad ```
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AutoGluon (πŸ₯ˆ28 Β· ⭐ 6.7K) - AutoGluon: AutoML for Image, Text, Time Series, and.. Apache-2 +
AutoGluon (πŸ₯ˆ29 Β· ⭐ 6.7K) - AutoGluon: AutoML for Image, Text, Time Series, and.. Apache-2 -- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 790 Β· πŸ“¦ 2 Β· πŸ“‹ 1.2K - 23% open Β· ⏱️ 08.01.2024): +- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 810 Β· πŸ“¦ 2 Β· πŸ“‹ 1.2K - 24% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/autogluon/autogluon ``` -- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 45K / month): +- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 48K / month Β· πŸ“¦ 7 Β· ⏱️ 01.01.2024): ``` pip install autogluon ``` -- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 6.4K Β· ⭐ 17 Β· ⏱️ 26.07.2023): +- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 6.5K Β· ⭐ 17 Β· ⏱️ 26.07.2023): ``` docker pull autogluon/autogluon ```
mljar-supervised (πŸ₯ˆ28 Β· ⭐ 2.9K) - Python package for AutoML on Tabular Data with Feature.. MIT -- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 370 Β· πŸ“¦ 99 Β· πŸ“‹ 600 - 22% open Β· ⏱️ 08.01.2024): +- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 370 Β· πŸ“¦ 99 Β· πŸ“‹ 600 - 23% open Β· ⏱️ 08.01.2024): ``` git clone https://github.com/mljar/mljar-supervised ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 4.5K / month): +- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 4.3K / month Β· πŸ“¦ 2 Β· ⏱️ 08.01.2024): ``` pip install mljar-supervised ``` @@ -5133,38 +5141,38 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc pip install hyperas ```
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GPyOpt (πŸ₯ˆ24 Β· ⭐ 900 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 +
GPyOpt (πŸ₯ˆ25 Β· ⭐ 900 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 - [GitHub](https://github.com/SheffieldML/GPyOpt) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 250 Β· πŸ“¦ 480 Β· πŸ“‹ 290 - 35% open Β· ⏱️ 17.01.2023): ``` git clone https://github.com/SheffieldML/GPyOpt ``` -- [PyPi](https://pypi.org/project/gpyopt) (πŸ“₯ 5.9K / month): +- [PyPi](https://pypi.org/project/gpyopt) (πŸ“₯ 5.9K / month Β· πŸ“¦ 38 Β· ⏱️ 19.03.2020): ``` pip install gpyopt ```
featurewiz (πŸ₯ˆ24 Β· ⭐ 510) - Use advanced feature engineering strategies and select best.. Apache-2 -- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 85 Β· πŸ“¦ 62 Β· πŸ“‹ 80 - 3% open Β· ⏱️ 04.01.2024): +- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 85 Β· πŸ“¦ 62 Β· πŸ“‹ 81 - 3% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 6.7K / month Β· πŸ“¦ 2 Β· ⏱️ 22.12.2023): +- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 8K / month Β· πŸ“¦ 2 Β· ⏱️ 16.01.2024): ``` pip install featurewiz ```
FEDOT (πŸ₯‰23 Β· ⭐ 580) - Automated modeling and machine learning framework FEDOT. BSD-3 -- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 80 Β· πŸ“¦ 43 Β· πŸ“‹ 520 - 16% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 80 Β· πŸ“¦ 43 Β· πŸ“‹ 520 - 16% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/nccr-itmo/FEDOT ``` -- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 470 / month Β· πŸ“¦ 1 Β· ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 530 / month Β· πŸ“¦ 1 Β· ⏱️ 25.07.2023): ``` pip install fedot ``` @@ -5176,7 +5184,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/SimonBlanke/Hyperactive ``` -- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 4.6K / month Β· πŸ“¦ 5 Β· ⏱️ 24.10.2023): +- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 3.5K / month Β· πŸ“¦ 5 Β· ⏱️ 24.10.2023): ``` pip install hyperactive ``` @@ -5188,7 +5196,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/nidhaloff/igel ``` -- [PyPi](https://pypi.org/project/igel) (πŸ“₯ 32 / month Β· ⏱️ 19.11.2021): +- [PyPi](https://pypi.org/project/igel) (πŸ“₯ 87 / month Β· ⏱️ 19.11.2021): ``` pip install igel ``` @@ -5200,7 +5208,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 100 / month): +- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 120 / month Β· ⏱️ 29.08.2020): ``` pip install alphapy ``` @@ -5212,7 +5220,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/gugarosa/opytimizer ``` -- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 150 / month Β· ⏱️ 04.05.2022): +- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 190 / month Β· ⏱️ 04.05.2022): ``` pip install opytimizer ``` @@ -5224,7 +5232,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 790 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2022): +- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 890 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2022): ``` pip install autoviml ``` @@ -5234,9 +5242,9 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - Optuna (πŸ₯‡39 Β· ⭐ 9.1K) - A hyperparameter optimization framework. ❗Unlicensed - TPOT (πŸ₯‡33 Β· ⭐ 9.4K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 - scikit-optimize (πŸ₯‡33 Β· ⭐ 2.7K Β· πŸ’€) - Sequential model-based optimization with a.. BSD-3 -- SMAC3 (πŸ₯ˆ27 Β· ⭐ 950) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause -- lazypredict (πŸ₯ˆ26 Β· ⭐ 2.3K Β· πŸ’€) - Lazy Predict help build a lot of basic models without much.. MIT -- Orion (πŸ₯ˆ25 Β· ⭐ 270) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 +- SMAC3 (πŸ₯ˆ28 Β· ⭐ 950) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause +- lazypredict (πŸ₯ˆ26 Β· ⭐ 2.4K Β· πŸ’€) - Lazy Predict help build a lot of basic models without much.. MIT +- Orion (πŸ₯ˆ25 Β· ⭐ 280) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 - AdaNet (πŸ₯ˆ24 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 - Talos (πŸ₯ˆ24 Β· ⭐ 1.6K Β· πŸ’€) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT - auto_ml (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT @@ -5250,18 +5258,18 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - Dragonfly (πŸ₯‰19 Β· ⭐ 820 Β· πŸ’€) - An open source python library for scalable Bayesian optimisation. MIT - Auto Tune Models (πŸ₯‰18 Β· ⭐ 520 Β· πŸ’€) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT - Sherpa (πŸ₯‰18 Β· ⭐ 320 Β· πŸ’€) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 +- Advisor (πŸ₯‰17 Β· ⭐ 1.5K Β· πŸ’€) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 - shap-hypetune (πŸ₯‰17 Β· ⭐ 510 Β· πŸ’€) - A python package for simultaneous Hyperparameters Tuning and.. MIT - automl-gs (πŸ₯‰16 Β· ⭐ 1.8K Β· πŸ’€) - Provide an input CSV and a target field to predict, generate a.. MIT - Xcessiv (πŸ₯‰16 Β· ⭐ 1.3K Β· πŸ’€) - A web-based application for quick, scalable, and automated.. Apache-2 - HyperparameterHunter (πŸ₯‰16 Β· ⭐ 700 Β· πŸ’€) - Easy hyperparameter optimization and automatic result.. MIT - Parfit (πŸ₯‰16 Β· ⭐ 200 Β· πŸ’€) - A package for parallelizing the fit and flexibly scoring of.. MIT -- Advisor (πŸ₯‰15 Β· ⭐ 1.5K Β· πŸ’€) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 - ENAS (πŸ₯‰13 Β· ⭐ 2.7K Β· πŸ’€) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 - Auptimizer (πŸ₯‰12 Β· ⭐ 200 Β· πŸ’€) - An automatic ML model optimization tool. ❗️GPL-3.0 +- Hypermax (πŸ₯‰12 Β· ⭐ 110) - Better, faster hyper-parameter optimization. BSD-3 - model_search (πŸ₯‰11 Β· ⭐ 3.3K Β· πŸ’€) - AutoML algorithms for model architecture search at scale. Apache-2 - Devol (πŸ₯‰11 Β· ⭐ 950 Β· πŸ’€) - Genetic neural architecture search with Keras. MIT -- Hypermax (πŸ₯‰9 Β· ⭐ 110) - Better, faster hyper-parameter optimization. BSD-3 -- Hypertunity (πŸ₯‰8 Β· ⭐ 140 Β· πŸ’€) - A toolset for black-box hyperparameter optimisation. Apache-2 +- Hypertunity (πŸ₯‰9 Β· ⭐ 140 Β· πŸ’€) - A toolset for black-box hyperparameter optimisation. Apache-2

@@ -5278,7 +5286,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/openai/gym ``` -- [PyPi](https://pypi.org/project/gym) (πŸ“₯ 1.1M / month Β· πŸ“¦ 2.7K Β· ⏱️ 20.07.2023): +- [PyPi](https://pypi.org/project/gym) (πŸ“₯ 1M / month Β· πŸ“¦ 2.7K Β· ⏱️ 20.07.2023): ``` pip install gym ``` @@ -5287,28 +5295,40 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst conda install -c conda-forge gym ```
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FinRL (πŸ₯‡30 Β· ⭐ 8.6K) - FinRL: Financial Reinforcement Learning. MIT +
TF-Agents (πŸ₯‡33 Β· ⭐ 2.7K Β· πŸ“ˆ) - TF-Agents: A reliable, scalable and easy to use.. Apache-2 -- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2K Β· πŸ“¦ 28 Β· πŸ“‹ 660 - 28% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 720 Β· πŸ“¦ 1.4K Β· πŸ“‹ 650 - 28% open Β· ⏱️ 21.12.2023): ``` - git clone https://github.com/AI4Finance-Foundation/FinRL + git clone https://github.com/tensorflow/agents ``` -- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.2K / month Β· ⏱️ 08.01.2022): +- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 27K / month Β· πŸ“¦ 8 Β· ⏱️ 14.12.2023): ``` - pip install finrl + pip install tf-agents ```
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TF-Agents (πŸ₯‡30 Β· ⭐ 2.7K Β· πŸ“‰) - TF-Agents: A reliable, scalable and easy to use.. Apache-2 +
ViZDoom (πŸ₯‡31 Β· ⭐ 1.6K) - Reinforcement Learning environments based on the 1993 game Doom. MIT -- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 680 Β· πŸ“¦ 1.4K Β· πŸ“‹ 650 - 28% open Β· ⏱️ 21.12.2023): +- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 370 Β· πŸ“₯ 12K Β· πŸ“¦ 220 Β· πŸ“‹ 460 - 8% open Β· ⏱️ 11.01.2024): ``` - git clone https://github.com/tensorflow/agents + git clone https://github.com/mwydmuch/ViZDoom ``` -- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 27K / month): +- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 1.5K / month Β· πŸ“¦ 16 Β· ⏱️ 16.12.2023): ``` - pip install tf-agents + pip install vizdoom + ``` +
+
FinRL (πŸ₯ˆ30 Β· ⭐ 8.6K) - FinRL: Financial Reinforcement Learning. MIT + +- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.1K Β· πŸ“¦ 29 Β· πŸ“‹ 660 - 28% open Β· ⏱️ 18.01.2024): + + ``` + git clone https://github.com/AI4Finance-Foundation/FinRL + ``` +- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.1K / month Β· ⏱️ 08.01.2022): + ``` + pip install finrl ```
Dopamine (πŸ₯ˆ28 Β· ⭐ 10K) - Dopamine is a research framework for fast prototyping of.. Apache-2 @@ -5318,11 +5338,23 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/google/dopamine ``` -- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 27K / month Β· πŸ“¦ 36 Β· ⏱️ 21.09.2022): +- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 23K / month Β· πŸ“¦ 36 Β· ⏱️ 21.09.2022): ``` pip install dopamine-rl ```
+
TensorLayer (πŸ₯ˆ28 Β· ⭐ 7.3K Β· πŸ’€) - Deep Learning and Reinforcement Learning Library for.. Apache-2 + +- [GitHub](https://github.com/tensorlayer/TensorLayer) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.6K Β· πŸ“₯ 2K Β· πŸ“‹ 470 - 6% open Β· ⏱️ 18.02.2023): + + ``` + git clone https://github.com/tensorlayer/tensorlayer + ``` +- [PyPi](https://pypi.org/project/tensorlayer) (πŸ“₯ 1.4K / month Β· πŸ“¦ 40 Β· ⏱️ 15.02.2022): + ``` + pip install tensorlayer + ``` +
Acme (πŸ₯ˆ27 Β· ⭐ 3.3K) - A library of reinforcement learning components and agents. Apache-2 - [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 400 Β· πŸ“¦ 180 Β· πŸ“‹ 260 - 22% open Β· ⏱️ 03.01.2024): @@ -5330,85 +5362,85 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.4K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 960 / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): ``` pip install dm-acme ``` -- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 8K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 8.1K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge dm-acme ```
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TensorForce (πŸ₯ˆ26 Β· ⭐ 3.3K) - Tensorforce: a TensorFlow library for applied.. Apache-2 +
TensorForce (πŸ₯‰26 Β· ⭐ 3.3K) - Tensorforce: a TensorFlow library for applied.. Apache-2 - [GitHub](https://github.com/tensorforce/tensorforce) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 540 Β· πŸ“¦ 430 Β· πŸ“‹ 670 - 5% open Β· ⏱️ 14.08.2023): ``` git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 610 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): +- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 490 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): ``` pip install tensorforce ```
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RLax (πŸ₯ˆ26 Β· ⭐ 1.1K) - A library of reinforcement learning building blocks in JAX. Apache-2 +
RLax (πŸ₯‰26 Β· ⭐ 1.1K) - A library of reinforcement learning building blocks in JAX. Apache-2 - [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 80 Β· πŸ“¦ 200 Β· πŸ“‹ 30 - 40% open Β· ⏱️ 24.11.2023): ``` git clone https://github.com/deepmind/rlax ``` -- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 1M / month Β· πŸ“¦ 2 Β· ⏱️ 09.01.2023): +- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 970K / month Β· πŸ“¦ 2 Β· ⏱️ 09.01.2023): ``` pip install rlax ```
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PARL (πŸ₯‰24 Β· ⭐ 3.1K Β· πŸ’€) - A high-performance distributed training framework for.. Apache-2 +
garage (πŸ₯‰25 Β· ⭐ 1.8K Β· πŸ’€) - A toolkit for reproducible reinforcement learning research. MIT -- [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 810 Β· πŸ“¦ 120 Β· πŸ“‹ 500 - 21% open Β· ⏱️ 19.05.2023): +- [GitHub](https://github.com/rlworkgroup/garage) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 300 Β· πŸ“¦ 98 Β· πŸ“‹ 1K - 22% open Β· ⏱️ 04.01.2023): ``` - git clone https://github.com/PaddlePaddle/PARL + git clone https://github.com/rlworkgroup/garage ``` -- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 620 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/garage) (πŸ“₯ 560 / month Β· πŸ“¦ 2 Β· ⏱️ 23.03.2021): ``` - pip install parl + pip install garage ```
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garage (πŸ₯‰24 Β· ⭐ 1.8K Β· πŸ’€) - A toolkit for reproducible reinforcement learning research. MIT +
ReAgent (πŸ₯‰24 Β· ⭐ 3.5K Β· πŸ“ˆ) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 -- [GitHub](https://github.com/rlworkgroup/garage) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 300 Β· πŸ“¦ 97 Β· πŸ“‹ 1K - 19% open Β· ⏱️ 04.01.2023): +- [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 500 Β· πŸ“‹ 140 - 47% open Β· ⏱️ 18.01.2024): ``` - git clone https://github.com/rlworkgroup/garage + git clone https://github.com/facebookresearch/ReAgent ``` -- [PyPi](https://pypi.org/project/garage) (πŸ“₯ 590 / month): +- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 22 / month Β· ⏱️ 27.05.2020): ``` - pip install garage + pip install reagent ```
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PFRL (πŸ₯‰21 Β· ⭐ 1.1K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT +
PARL (πŸ₯‰24 Β· ⭐ 3.1K Β· πŸ’€) - A high-performance distributed training framework for.. Apache-2 -- [GitHub](https://github.com/pfnet/pfrl) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 150 Β· πŸ“¦ 98 Β· πŸ“‹ 78 - 42% open Β· ⏱️ 16.07.2023): +- [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 810 Β· πŸ“¦ 120 Β· πŸ“‹ 500 - 21% open Β· ⏱️ 19.05.2023): ``` - git clone https://github.com/pfnet/pfrl + git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 880 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): +- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 720 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): ``` - pip install pfrl + pip install parl ```
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ReAgent (πŸ₯‰20 Β· ⭐ 3.5K Β· πŸ“‰) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 +
PFRL (πŸ₯‰21 Β· ⭐ 1.1K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT -- [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 500 Β· πŸ“‹ 110 - 31% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/pfnet/pfrl) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 150 Β· πŸ“¦ 99 Β· πŸ“‹ 78 - 42% open Β· ⏱️ 16.07.2023): ``` - git clone https://github.com/facebookresearch/ReAgent + git clone https://github.com/pfnet/pfrl ``` -- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 20 / month): +- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 890 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): ``` - pip install reagent + pip install pfrl ```
rliable (πŸ₯‰14 Β· ⭐ 660 Β· πŸ’€) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on.. Apache-2 @@ -5423,18 +5455,16 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst pip install rliable` ```
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Show 11 hidden projects... +
Show 9 hidden projects... - baselines (πŸ₯ˆ29 Β· ⭐ 15K Β· πŸ’€) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT - keras-rl (πŸ₯ˆ28 Β· ⭐ 5.5K Β· πŸ’€) - Deep Reinforcement Learning for Keras. MIT -- ViZDoom (πŸ₯ˆ28 Β· ⭐ 1.6K) - Reinforcement Learning environments based on the 1993 game Doom. ❗Unlicensed +- Stable Baselines (πŸ₯‰24 Β· ⭐ 4K Β· πŸ’€) - A fork of OpenAI Baselines, implementations of.. MIT - ChainerRL (πŸ₯‰24 Β· ⭐ 1.1K Β· πŸ’€) - ChainerRL is a deep reinforcement learning library built on top of.. MIT -- TensorLayer (πŸ₯‰23 Β· ⭐ 7.3K Β· πŸ’€) - Deep Learning and Reinforcement Learning Library for.. ❗Unlicensed -- Stable Baselines (πŸ₯‰22 Β· ⭐ 4K Β· πŸ’€) - A fork of OpenAI Baselines, implementations of.. MIT - TRFL (πŸ₯‰21 Β· ⭐ 3.1K Β· πŸ’€) - TensorFlow Reinforcement Learning. Apache-2 - Coach (πŸ₯‰20 Β· ⭐ 2.3K Β· πŸ’€) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2 -- SerpentAI (πŸ₯‰18 Β· ⭐ 6.6K Β· πŸ’€) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT - DeepMind Lab (πŸ₯‰17 Β· ⭐ 7K Β· πŸ’€) - A customisable 3D platform for agent-based AI research. ❗Unlicensed +- SerpentAI (πŸ₯‰16 Β· ⭐ 6.6K Β· πŸ’€) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT - Maze (πŸ₯‰13 Β· ⭐ 250 Β· πŸ’€) - Maze Applied Reinforcement Learning Framework. ❗️Custom

@@ -5445,14 +5475,14 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst _Libraries for building and evaluating recommendation systems._ -
Recommenders (πŸ₯‡34 Β· ⭐ 17K) - Best Practices on Recommendation Systems. MIT +
Recommenders (πŸ₯‡35 Β· ⭐ 17K) - Best Practices on Recommendation Systems. MIT -- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.9K Β· πŸ“₯ 460 Β· πŸ“¦ 99 Β· πŸ“‹ 820 - 20% open Β· ⏱️ 23.12.2023): +- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.9K Β· πŸ“₯ 460 Β· πŸ“¦ 100 Β· πŸ“‹ 820 - 20% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/microsoft/recommenders ``` -- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 62K / month Β· πŸ“¦ 2 Β· ⏱️ 01.04.2022): +- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 61K / month Β· πŸ“¦ 2 Β· ⏱️ 01.04.2022): ``` pip install recommenders ``` @@ -5489,21 +5519,9 @@ _Libraries for building and evaluating recommendation systems._ conda install -c conda-forge implicit ```
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torchrec (πŸ₯ˆ29 Β· ⭐ 1.6K) - Pytorch domain library for recommendation systems. BSD-3 - -- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 320 Β· πŸ“¦ 84 Β· πŸ“‹ 230 - 56% open Β· ⏱️ 10.01.2024): - - ``` - git clone https://github.com/pytorch/torchrec - ``` -- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 330 / month Β· ⏱️ 12.05.2022): - ``` - pip install torchrec-nightly-cpu - ``` -
Cornac (πŸ₯ˆ29 Β· ⭐ 780) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 -- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 190 Β· πŸ“‹ 140 - 7% open Β· ⏱️ 05.01.2024): +- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 190 Β· πŸ“‹ 140 - 7% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/PreferredAI/cornac @@ -5524,11 +5542,23 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/tensorflow/recommenders ``` -- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 350K / month Β· πŸ“¦ 1 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 340K / month Β· πŸ“¦ 1 Β· ⏱️ 03.02.2023): ``` pip install tensorflow-recommenders ```
+
torchrec (πŸ₯ˆ28 Β· ⭐ 1.6K) - Pytorch domain library for recommendation systems. BSD-3 + +- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 320 Β· πŸ“¦ 84 Β· πŸ“‹ 230 - 56% open Β· ⏱️ 18.01.2024): + + ``` + git clone https://github.com/pytorch/torchrec + ``` +- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 140 / month Β· ⏱️ 12.05.2022): + ``` + pip install torchrec-nightly-cpu + ``` +
scikit-surprise (πŸ₯ˆ27 Β· ⭐ 6.1K Β· πŸ’€) - A Python scikit for building and analyzing recommender.. BSD-3 - [GitHub](https://github.com/NicolasHug/Surprise) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 980 Β· πŸ“¦ 21 Β· πŸ“‹ 380 - 19% open Β· ⏱️ 27.01.2023): @@ -5552,19 +5582,19 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/tensorflow/ranking ``` -- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 95K / month Β· πŸ“¦ 13 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 81K / month Β· πŸ“¦ 13 Β· ⏱️ 11.08.2023): ``` pip install tensorflow_ranking ```
RecBole (πŸ₯‰26 Β· ⭐ 3K) - A unified, comprehensive and efficient recommendation library. MIT -- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 560 Β· πŸ“‹ 860 - 22% open Β· ⏱️ 25.11.2023): +- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 560 Β· πŸ“‹ 870 - 22% open Β· ⏱️ 25.11.2023): ``` git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 1.8K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 1.7K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): ``` pip install recbole ``` @@ -5573,7 +5603,7 @@ _Libraries for building and evaluating recommendation systems._ conda install -c aibox recbole ```
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recmetrics (πŸ₯‰21 Β· ⭐ 540) - A library of metrics for evaluating recommender systems. MIT +
recmetrics (πŸ₯‰21 Β· ⭐ 550) - A library of metrics for evaluating recommender systems. MIT - [GitHub](https://github.com/statisticianinstilettos/recmetrics) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 97 Β· πŸ“₯ 5 Β· πŸ“¦ 48 Β· πŸ“‹ 28 - 46% open Β· ⏱️ 04.10.2023): @@ -5605,12 +5635,12 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
PySyft (πŸ₯‡36 Β· ⭐ 9.1K) - Perform data science on data that remains in someone elses server. Apache-2 -- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 2K Β· πŸ“₯ 1.7K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 4% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 2K Β· πŸ“₯ 1.8K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 4% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 4.8K / month Β· πŸ“¦ 5 Β· ⏱️ 07.01.2024): +- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 6K / month Β· πŸ“¦ 5 Β· ⏱️ 07.01.2024): ``` pip install syft ``` @@ -5622,7 +5652,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/pytorch/opacus ``` -- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 44K / month Β· πŸ“¦ 19 Β· ⏱️ 06.05.2022): +- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 42K / month Β· πŸ“¦ 19 Β· ⏱️ 06.05.2022): ``` pip install opacus ``` @@ -5631,9 +5661,9 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l conda install -c conda-forge opacus ```
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FATE (πŸ₯ˆ27 Β· ⭐ 5.3K) - An Industrial Grade Federated Learning Framework. Apache-2 +
FATE (πŸ₯ˆ27 Β· ⭐ 5.4K) - An Industrial Grade Federated Learning Framework. Apache-2 -- [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.9K - 43% open Β· ⏱️ 30.12.2023): +- [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.9K - 43% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/FederatedAI/FATE @@ -5662,7 +5692,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/tf-encrypted/tf-encrypted ``` -- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 730 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): +- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 830 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): ``` pip install tf-encrypted ``` @@ -5674,7 +5704,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/facebookresearch/CrypTen ``` -- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 260 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 230 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): ``` pip install crypten ``` @@ -5693,7 +5723,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (πŸ₯‡44 Β· ⭐ 16K) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 680 Β· πŸ”€ 3.8K Β· πŸ“¦ 29K Β· πŸ“‹ 3.6K - 36% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 690 Β· πŸ”€ 3.8K Β· πŸ“¦ 29K Β· πŸ“‹ 3.6K - 36% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/mlflow/mlflow @@ -5707,14 +5737,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge mlflow ```
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Tensorboard (πŸ₯‡43 Β· ⭐ 6.4K) - TensorFlows Visualization Toolkit. Apache-2 +
Tensorboard (πŸ₯‡43 Β· ⭐ 6.5K) - TensorFlows Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.6K Β· πŸ“¦ 210K Β· πŸ“‹ 1.8K - 32% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.6K Β· πŸ“¦ 210K Β· πŸ“‹ 1.9K - 34% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/tensorflow/tensorboard ``` -- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 20M / month): +- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 20M / month Β· πŸ“¦ 2.9K Β· ⏱️ 02.11.2023): ``` pip install tensorboard ``` @@ -5725,28 +5755,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
DVC (πŸ₯‡41 Β· ⭐ 13K) - ML Experiments Management with Git. Apache-2 -- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.1K Β· πŸ“₯ 45K Β· πŸ“¦ 12K Β· πŸ“‹ 4.6K - 11% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.1K Β· πŸ“₯ 45K Β· πŸ“¦ 12K Β· πŸ“‹ 4.6K - 11% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 610K / month): +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 590K / month Β· πŸ“¦ 93 Β· ⏱️ 18.01.2024): ``` pip install dvc ``` -- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 1.7M Β· ⏱️ 04.01.2024): +- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 1.8M Β· ⏱️ 18.01.2024): ``` conda install -c conda-forge dvc ```
wandb client (πŸ₯‡40 Β· ⭐ 7.7K) - A tool for visualizing and tracking your machine learning.. MIT -- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 590 Β· πŸ“¦ 36K Β· πŸ“‹ 2.9K - 27% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 590 Β· πŸ“¦ 37K Β· πŸ“‹ 2.9K - 27% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/wandb/client ``` -- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 11M / month Β· πŸ“¦ 690 Β· ⏱️ 09.01.2024): +- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 11M / month Β· πŸ“¦ 700 Β· ⏱️ 09.01.2024): ``` pip install wandb ``` @@ -5755,14 +5785,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge wandb ```
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SageMaker SDK (πŸ₯ˆ39 Β· ⭐ 2K) - A library for training and deploying machine learning.. Apache-2 +
SageMaker SDK (πŸ₯‡40 Β· ⭐ 2K) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 1K Β· πŸ“¦ 3.5K Β· πŸ“‹ 1.4K - 16% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 1.1K Β· πŸ“¦ 3.5K Β· πŸ“‹ 1.4K - 19% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/aws/sagemaker-python-sdk ``` -- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 47M / month): +- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 43M / month Β· πŸ“¦ 91 Β· ⏱️ 09.01.2024): ``` pip install sagemaker ``` @@ -5771,14 +5801,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge sagemaker-python-sdk ```
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PyCaret (πŸ₯ˆ37 Β· ⭐ 8.1K) - An open-source, low-code machine learning library in Python. MIT +
PyCaret (πŸ₯ˆ38 Β· ⭐ 8.1K) - An open-source, low-code machine learning library in Python. MIT -- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“₯ 680 Β· πŸ“¦ 5K Β· πŸ“‹ 2.2K - 14% open Β· ⏱️ 14.12.2023): +- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“₯ 680 Β· πŸ“¦ 5K Β· πŸ“‹ 2.2K - 14% open Β· ⏱️ 14.01.2024): ``` git clone https://github.com/pycaret/pycaret ``` -- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 270K / month Β· πŸ“¦ 16 Β· ⏱️ 12.11.2023): +- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 280K / month Β· πŸ“¦ 16 Β· ⏱️ 12.11.2023): ``` pip install pycaret ``` @@ -5789,23 +5819,23 @@ _Libraries to organize, track, and visualize machine learning experiments._
snakemake (πŸ₯ˆ35 Β· ⭐ 2K) - This is the development home of the workflow management system.. MIT -- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 490 Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.5K - 62% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 490 Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.6K - 62% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 84K / month Β· πŸ“¦ 260 Β· ⏱️ 11.01.2024): +- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 86K / month Β· πŸ“¦ 260 Β· ⏱️ 17.01.2024): ``` pip install snakemake ``` -- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 950K Β· ⏱️ 08.01.2024): +- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 950K Β· ⏱️ 17.01.2024): ``` conda install -c bioconda snakemake ```
ClearML (πŸ₯ˆ34 Β· ⭐ 5K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... Apache-2 -- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 620 Β· πŸ“₯ 1.9K Β· πŸ“¦ 880 Β· πŸ“‹ 940 - 45% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 620 Β· πŸ“₯ 1.9K Β· πŸ“¦ 900 Β· πŸ“‹ 940 - 45% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/allegroai/clearml @@ -5826,35 +5856,35 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/Azure/MachineLearningNotebooks ``` -- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 470K / month Β· πŸ“¦ 48 Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 460K / month Β· πŸ“¦ 48 Β· ⏱️ 09.11.2023): ``` pip install azureml-sdk ```
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Metaflow (πŸ₯ˆ32 Β· ⭐ 7.3K) - Build and manage real-life data science projects with ease!. Apache-2 +
Metaflow (πŸ₯ˆ33 Β· ⭐ 7.3K) - Build and manage real-life data science projects with ease!. Apache-2 -- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 700 Β· πŸ“¦ 580 Β· πŸ“‹ 660 - 47% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 700 Β· πŸ“¦ 580 Β· πŸ“‹ 650 - 46% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 110K / month Β· πŸ“¦ 26 Β· ⏱️ 04.12.2023): +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 99K / month Β· πŸ“¦ 27 Β· ⏱️ 17.01.2024): ``` pip install metaflow ``` -- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 160K Β· ⏱️ 05.12.2023): +- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 160K Β· ⏱️ 15.01.2024): ``` conda install -c conda-forge metaflow ```
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tensorboardX (πŸ₯ˆ31 Β· ⭐ 7.7K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT +
tensorboardX (πŸ₯ˆ32 Β· ⭐ 7.8K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT -- [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 850 Β· πŸ“₯ 410 Β· πŸ“¦ 39K Β· πŸ“‹ 450 - 16% open Β· ⏱️ 12.11.2023): +- [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 870 Β· πŸ“₯ 410 Β· πŸ“¦ 39K Β· πŸ“‹ 450 - 17% open Β· ⏱️ 12.11.2023): ``` git clone https://github.com/lanpa/tensorboardX ``` -- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 1.8M / month): +- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 1.8M / month Β· πŸ“¦ 1K Β· ⏱️ 20.08.2023): ``` pip install tensorboardX ``` @@ -5863,36 +5893,36 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge tensorboardx ```
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aim (πŸ₯ˆ31 Β· ⭐ 4.5K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 +
kaggle (πŸ₯ˆ30 Β· ⭐ 5.7K) - Official Kaggle API. Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 260 Β· πŸ“¦ 410 Β· πŸ“‹ 950 - 32% open Β· ⏱️ 03.01.2024): +- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.1K Β· πŸ“¦ 21 Β· πŸ“‹ 440 - 33% open Β· ⏱️ 08.01.2024): ``` - git clone https://github.com/aimhubio/aim + git clone https://github.com/Kaggle/kaggle-api ``` -- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 61K / month Β· πŸ“¦ 17 Β· ⏱️ 10.01.2024): +- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 190K / month Β· πŸ“¦ 380 Β· ⏱️ 12.01.2024): ``` - pip install aim + pip install kaggle ``` -- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 41K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/kaggle) (πŸ“₯ 140K Β· ⏱️ 13.01.2024): ``` - conda install -c conda-forge aim + conda install -c conda-forge kaggle ```
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kaggle (πŸ₯ˆ30 Β· ⭐ 5.7K) - Official Kaggle API. Apache-2 +
aim (πŸ₯ˆ30 Β· ⭐ 4.5K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 -- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1K Β· πŸ“¦ 21 Β· πŸ“‹ 440 - 33% open Β· ⏱️ 08.01.2024): +- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 260 Β· πŸ“¦ 410 Β· πŸ“‹ 950 - 32% open Β· ⏱️ 16.01.2024): ``` - git clone https://github.com/Kaggle/kaggle-api + git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 200K / month Β· πŸ“¦ 380 Β· ⏱️ 09.01.2024): +- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 52K / month Β· πŸ“¦ 17 Β· ⏱️ 17.01.2024): ``` - pip install kaggle + pip install aim ``` -- [Conda](https://anaconda.org/conda-forge/kaggle) (πŸ“₯ 140K Β· ⏱️ 09.01.2024): +- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 41K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge kaggle + conda install -c conda-forge aim ```
sacred (πŸ₯ˆ30 Β· ⭐ 4.1K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT @@ -5902,7 +5932,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/IDSIA/sacred ``` -- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 24K / month Β· πŸ“¦ 110 Β· ⏱️ 13.11.2023): +- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 27K / month Β· πŸ“¦ 110 Β· ⏱️ 13.11.2023): ``` pip install sacred ``` @@ -5929,48 +5959,60 @@ _Libraries to organize, track, and visualize machine learning experiments._
VisualDL (πŸ₯ˆ29 Β· ⭐ 4.7K) - Deep Learning Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 620 Β· πŸ“₯ 340 Β· πŸ“¦ 2.6K Β· πŸ“‹ 470 - 24% open Β· ⏱️ 20.09.2023): +- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 630 Β· πŸ“₯ 340 Β· πŸ“¦ 2.6K Β· πŸ“‹ 500 - 28% open Β· ⏱️ 20.09.2023): ``` git clone https://github.com/PaddlePaddle/VisualDL ``` -- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 210K / month): +- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 210K / month Β· πŸ“¦ 46 Β· ⏱️ 05.06.2023): ``` pip install visualdl ```
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Labml (πŸ₯‰27 Β· ⭐ 1.8K) - Monitor deep learning model training and hardware usage from your mobile.. MIT + +- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 120 Β· πŸ“¦ 120 Β· πŸ“‹ 38 - 47% open Β· ⏱️ 16.01.2024): + + ``` + git clone https://github.com/labmlai/labml + ``` +- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 2.2K / month Β· πŸ“¦ 6 Β· ⏱️ 10.09.2023): + ``` + pip install labml + ``` +
quinn (πŸ₯‰27 Β· ⭐ 540) - pyspark methods to enhance developer productivity. Apache-2 -- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 79 Β· πŸ“₯ 9 Β· πŸ“¦ 74 Β· πŸ“‹ 90 - 38% open Β· ⏱️ 10.12.2023): +- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 79 Β· πŸ“₯ 9 Β· πŸ“¦ 74 Β· πŸ“‹ 90 - 38% open Β· ⏱️ 11.01.2024): ``` git clone https://github.com/MrPowers/quinn ``` -- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 850K / month Β· πŸ“¦ 6 Β· ⏱️ 17.02.2023): +- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 830K / month Β· πŸ“¦ 6 Β· ⏱️ 17.02.2023): ``` pip install quinn ```
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Labml (πŸ₯‰26 Β· ⭐ 1.7K) - Monitor deep learning model training and hardware usage from your mobile.. MIT +
TNT (πŸ₯‰26 Β· ⭐ 1.6K Β· πŸ“ˆ) - A lightweight library for PyTorch training tools and utilities. BSD-3 -- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 120 Β· πŸ“¦ 120 Β· πŸ“‹ 38 - 47% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 250 Β· πŸ“‹ 99 - 36% open Β· ⏱️ 18.01.2024): ``` - git clone https://github.com/labmlai/labml + git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 2K / month Β· πŸ“¦ 6 Β· ⏱️ 10.09.2023): +- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 5.5K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): ``` - pip install labml + pip install torchnet ```
ml-metadata (πŸ₯‰26 Β· ⭐ 580) - For recording and retrieving metadata associated with ML.. Apache-2 -- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 120 Β· πŸ“₯ 2.1K Β· πŸ“¦ 370 Β· πŸ“‹ 100 - 27% open Β· ⏱️ 18.12.2023): +- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 120 Β· πŸ“₯ 2.1K Β· πŸ“¦ 380 Β· πŸ“‹ 100 - 27% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/google/ml-metadata ``` -- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 55K / month Β· πŸ“¦ 24 Β· ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 53K / month Β· πŸ“¦ 24 Β· ⏱️ 10.08.2023): ``` pip install ml-metadata ``` @@ -5982,7 +6024,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/guildai/guildai ``` -- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 430 / month): +- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 440 / month Β· ⏱️ 11.05.2022): ``` pip install guildai ``` @@ -5994,53 +6036,52 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/studioml/studio ``` -- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 290 / month Β· ⏱️ 14.09.2021): +- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 660 / month Β· ⏱️ 14.09.2021): ``` pip install studioml ```
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TensorWatch (πŸ₯‰18 Β· ⭐ 3.4K) - Debugging, monitoring and visualization for Python Machine Learning.. MIT +
TensorWatch (πŸ₯‰20 Β· ⭐ 3.4K) - Debugging, monitoring and visualization for Python Machine Learning.. MIT -- [GitHub](https://github.com/microsoft/tensorwatch) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 350 Β· πŸ“¦ 140 Β· πŸ“‹ 69 - 75% open Β· ⏱️ 30.08.2023): +- [GitHub](https://github.com/microsoft/tensorwatch) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 360 Β· πŸ“¦ 140 Β· πŸ“‹ 70 - 75% open Β· ⏱️ 30.08.2023): ``` git clone https://github.com/microsoft/tensorwatch ``` -- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 550 / month): +- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 660 / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): ``` pip install tensorwatch ```
caliban (πŸ₯‰16 Β· ⭐ 490) - Research workflows made easy, locally and in the Cloud. Apache-2 -- [GitHub](https://github.com/google/caliban) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 67 Β· πŸ“¦ 1 Β· πŸ“‹ 34 - 55% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/google/caliban) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 66 Β· πŸ“¦ 1 Β· πŸ“‹ 34 - 55% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/google/caliban ``` -- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 59 / month Β· ⏱️ 12.09.2020): +- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 63 / month Β· ⏱️ 12.09.2020): ``` pip install caliban ```
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Show 17 hidden projects... +
Show 16 hidden projects... - Catalyst (πŸ₯‰28 Β· ⭐ 3.2K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 - knockknock (πŸ₯‰26 Β· ⭐ 2.7K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT - livelossplot (πŸ₯‰25 Β· ⭐ 1.3K Β· πŸ’€) - Live training loss plot in Jupyter Notebook for Keras,.. MIT - SKLL (πŸ₯‰25 Β· ⭐ 550) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause - gokart (πŸ₯‰25 Β· ⭐ 300) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT -- hiddenlayer (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Neural network graphs and training metrics for.. MIT -- TNT (πŸ₯‰20 Β· ⭐ 1.6K Β· πŸ“‰) - A lightweight library for PyTorch training tools and.. ❗Unlicensed +- hiddenlayer (πŸ₯‰22 Β· ⭐ 1.8K Β· πŸ’€) - Neural network graphs and training metrics for.. MIT - lore (πŸ₯‰20 Β· ⭐ 1.6K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT +- TensorBoard Logger (πŸ₯‰20 Β· ⭐ 630 Β· πŸ’€) - Log TensorBoard events without touching TensorFlow. MIT - MXBoard (πŸ₯‰20 Β· ⭐ 320 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 -- keepsake (πŸ₯‰19 Β· ⭐ 1.6K Β· πŸ’€) - Version control for machine learning. Apache-2 -- TensorBoard Logger (πŸ₯‰17 Β· ⭐ 630 Β· πŸ’€) - Log TensorBoard events without touching TensorFlow. MIT +- keepsake (πŸ₯‰18 Β· ⭐ 1.6K Β· πŸ’€) - Version control for machine learning. Apache-2 - datmo (πŸ₯‰17 Β· ⭐ 350 Β· πŸ’€) - Open source production model management tool for data scientists. MIT - chitra (πŸ₯‰16 Β· ⭐ 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2 - steppy (πŸ₯‰16 Β· ⭐ 140 Β· πŸ’€) - Lightweight, Python library for fast and reproducible experimentation. MIT +- ModelChimp (πŸ₯‰13 Β· ⭐ 130 Β· πŸ’€) - Experiment tracking for machine and deep learning projects. BSD-2 - CometML (πŸ₯‰13) - Supercharging Machine Learning. ❗Unlicensed -- ModelChimp (πŸ₯‰12 Β· ⭐ 130 Β· πŸ’€) - Experiment tracking for machine and deep learning projects. BSD-2 - traintool (πŸ₯‰9 Β· ⭐ 12 Β· πŸ’€) - Train off-the-shelf machine learning models in one.. Apache-2

@@ -6053,52 +6094,52 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (πŸ₯‡43 Β· ⭐ 16K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3.5K Β· πŸ“₯ 20K Β· πŸ“¦ 23K Β· πŸ“‹ 2.6K - 10% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3.6K Β· πŸ“₯ 20K Β· πŸ“¦ 23K Β· πŸ“‹ 2.6K - 11% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 3.7M / month): +- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 3.7M / month Β· πŸ“¦ 660 Β· ⏱️ 26.10.2023): ``` pip install onnx ``` -- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 900K Β· ⏱️ 07.11.2023): +- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 910K Β· ⏱️ 07.11.2023): ``` conda install -c conda-forge onnx ```
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triton (πŸ₯‡38 Β· ⭐ 9.5K Β· πŸ“ˆ) - Development repository for the Triton language and compiler. MIT +
triton (πŸ₯‡38 Β· ⭐ 9.6K) - Development repository for the Triton language and compiler. MIT -- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1K Β· πŸ“¦ 21 Β· πŸ“‹ 990 - 41% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.1K Β· πŸ“¦ 21 Β· πŸ“‹ 1K - 42% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/openai/triton ``` -- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 7.2M / month Β· πŸ“¦ 81 Β· ⏱️ 10.01.2024): +- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 7.4M / month Β· πŸ“¦ 84 Β· ⏱️ 10.01.2024): ``` pip install triton ```
BentoML (πŸ₯ˆ35 Β· ⭐ 6.1K) - Build Production-Grade AI Applications. Apache-2 -- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 690 Β· πŸ“₯ 2.1K Β· πŸ“¦ 1.5K Β· πŸ“‹ 980 - 19% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 700 Β· πŸ“₯ 2.1K Β· πŸ“¦ 1.5K Β· πŸ“‹ 990 - 20% open Β· ⏱️ 11.01.2024): ``` git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 72K / month Β· πŸ“¦ 12 Β· ⏱️ 09.01.2024): +- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 62K / month Β· πŸ“¦ 12 Β· ⏱️ 18.01.2024): ``` pip install bentoml ```
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huggingface_hub (πŸ₯ˆ35 Β· ⭐ 1.4K) - The official Python client for the Huggingface Hub. Apache-2 +
huggingface_hub (πŸ₯ˆ35 Β· ⭐ 1.5K) - The official Python client for the Huggingface Hub. Apache-2 -- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 350 Β· πŸ“‹ 700 - 18% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 350 Β· πŸ“‹ 710 - 18% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/huggingface/huggingface_hub ``` -- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 21M / month Β· πŸ“¦ 610 Β· ⏱️ 05.01.2024): +- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 21M / month Β· πŸ“¦ 620 Β· ⏱️ 05.01.2024): ``` pip install huggingface_hub ``` @@ -6107,14 +6148,14 @@ _Libraries to serialize models to files, convert between a variety of model form conda install -c conda-forge huggingface_hub ```
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TorchServe (πŸ₯ˆ34 Β· ⭐ 3.8K) - Serve, optimize and scale PyTorch models in production. Apache-2 +
TorchServe (πŸ₯ˆ34 Β· ⭐ 3.9K) - Serve, optimize and scale PyTorch models in production. Apache-2 -- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 790 Β· πŸ“₯ 5.5K Β· πŸ“¦ 580 Β· πŸ“‹ 1.5K - 22% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 790 Β· πŸ“₯ 5.5K Β· πŸ“¦ 590 Β· πŸ“‹ 1.5K - 21% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/pytorch/serve ``` -- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 30K / month Β· πŸ“¦ 16 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 27K / month Β· πŸ“¦ 16 Β· ⏱️ 12.10.2023): ``` pip install torchserve ``` @@ -6129,12 +6170,12 @@ _Libraries to serialize models to files, convert between a variety of model form
Core ML Tools (πŸ₯ˆ33 Β· ⭐ 3.9K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 -- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 580 Β· πŸ“₯ 9K Β· πŸ“¦ 3.5K Β· πŸ“‹ 1.3K - 21% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 580 Β· πŸ“₯ 9K Β· πŸ“¦ 3.6K Β· πŸ“‹ 1.3K - 21% open Β· ⏱️ 10.01.2024): ``` git clone https://github.com/apple/coremltools ``` -- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 160K / month Β· πŸ“¦ 170 Β· ⏱️ 01.11.2023): +- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 150K / month Β· πŸ“¦ 170 Β· ⏱️ 01.11.2023): ``` pip install coremltools ``` @@ -6143,30 +6184,30 @@ _Libraries to serialize models to files, convert between a variety of model form conda install -c conda-forge coremltools ```
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Hummingbird (πŸ₯ˆ25 Β· ⭐ 3.3K) - Hummingbird compiles trained ML models into tensor computation for.. MIT +
Hummingbird (πŸ₯ˆ26 Β· ⭐ 3.3K) - Hummingbird compiles trained ML models into tensor computation for.. MIT - [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 270 Β· πŸ“₯ 360 Β· πŸ“‹ 310 - 19% open Β· ⏱️ 10.01.2024): ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 6.9K / month Β· πŸ“¦ 4 Β· ⏱️ 08.01.2024): +- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 7.4K / month Β· πŸ“¦ 4 Β· ⏱️ 08.01.2024): ``` pip install hummingbird-ml ``` -- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (πŸ“₯ 37K Β· ⏱️ 08.01.2024): +- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (πŸ“₯ 38K Β· ⏱️ 08.01.2024): ``` conda install -c conda-forge hummingbird-ml ```
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hls4ml (πŸ₯ˆ25 Β· ⭐ 1K) - Machine learning on FPGAs using HLS. Apache-2 +
hls4ml (πŸ₯‰25 Β· ⭐ 1K) - Machine learning on FPGAs using HLS. Apache-2 - [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 360 Β· πŸ“‹ 410 - 38% open Β· ⏱️ 29.12.2023): ``` git clone https://github.com/fastmachinelearning/hls4ml ``` -- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 810 / month Β· ⏱️ 19.12.2023): +- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 740 / month Β· ⏱️ 19.12.2023): ``` pip install hls4ml ``` @@ -6182,19 +6223,19 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/cortexlabs/cortex ``` -- [PyPi](https://pypi.org/project/cortex) (πŸ“₯ 750 / month Β· πŸ“¦ 1 Β· ⏱️ 23.09.2022): +- [PyPi](https://pypi.org/project/cortex) (πŸ“₯ 640 / month Β· πŸ“¦ 1 Β· ⏱️ 23.09.2022): ``` pip install cortex ```
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nebullvm (πŸ₯‰20 Β· ⭐ 8.3K) - The user analytics platform for LLMs. Apache-2 +
nebullvm (πŸ₯‰21 Β· ⭐ 8.3K) - The user analytics platform for LLMs. Apache-2 -- [GitHub](https://github.com/nebuly-ai/nebuly) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 650 Β· πŸ“‹ 200 - 48% open Β· ⏱️ 28.10.2023): +- [GitHub](https://github.com/nebuly-ai/nebuly) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 640 Β· πŸ“‹ 200 - 48% open Β· ⏱️ 28.10.2023): ``` git clone https://github.com/nebuly-ai/nebullvm ``` -- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 550 / month): +- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 700 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): ``` pip install nebullvm ``` @@ -6206,7 +6247,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/riga/tfdeploy ``` -- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 48 / month Β· πŸ“¦ 2 Β· ⏱️ 30.03.2017): +- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 62 / month Β· πŸ“¦ 2 Β· ⏱️ 30.03.2017): ``` pip install tfdeploy ``` @@ -6214,14 +6255,14 @@ _Libraries to serialize models to files, convert between a variety of model form
Show 9 hidden projects... - m2cgen (πŸ₯ˆ26 Β· ⭐ 2.7K Β· πŸ’€) - Transform ML models into a native code (Java, C, Python, Go,.. MIT -- mmdnn (πŸ₯ˆ25 Β· ⭐ 5.8K Β· πŸ’€) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT +- mmdnn (πŸ₯‰25 Β· ⭐ 5.8K Β· πŸ’€) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT - sklearn-porter (πŸ₯‰23 Β· ⭐ 1.3K Β· πŸ’€) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 - Larq Compute Engine (πŸ₯‰20 Β· ⭐ 230) - Highly optimized inference engine for Binarized.. Apache-2 -- pytorch2keras (πŸ₯‰19 Β· ⭐ 850 Β· πŸ’€) - PyTorch to Keras model convertor. MIT +- pytorch2keras (πŸ₯‰19 Β· ⭐ 840 Β· πŸ’€) - PyTorch to Keras model convertor. MIT - OMLT (πŸ₯‰19 Β· ⭐ 230) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3 - modelkit (πŸ₯‰18 Β· ⭐ 150) - Toolkit for developing and maintaining ML models. MIT +- backprop (πŸ₯‰14 Β· ⭐ 240 Β· πŸ’€) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 - ml-ane-transformers (πŸ₯‰13 Β· ⭐ 2.4K Β· πŸ’€) - Reference implementation of the Transformer.. ❗Unlicensed -- backprop (πŸ₯‰13 Β· ⭐ 240 Β· πŸ’€) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2

@@ -6231,7 +6272,7 @@ _Libraries to serialize models to files, convert between a variety of model form _Libraries to visualize, explain, debug, evaluate, and interpret machine learning models._ -
shap (πŸ₯‡41 Β· ⭐ 21K) - A game theoretic approach to explain the output of any machine learning model. MIT +
shap (πŸ₯‡40 Β· ⭐ 21K) - A game theoretic approach to explain the output of any machine learning model. MIT - [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 3.1K Β· πŸ“¦ 15K Β· πŸ“‹ 2.4K - 59% open Β· ⏱️ 09.01.2024): @@ -6242,14 +6283,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` pip install shap ``` -- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 2.2M Β· ⏱️ 08.01.2024): +- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 2.3M Β· ⏱️ 08.01.2024): ``` conda install -c conda-forge shap ```
arviz (πŸ₯‡36 Β· ⭐ 1.5K) - Exploratory analysis of Bayesian models with Python. Apache-2 -- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 370 Β· πŸ“₯ 130 Β· πŸ“¦ 5.6K Β· πŸ“‹ 840 - 19% open Β· ⏱️ 27.12.2023): +- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 370 Β· πŸ“₯ 130 Β· πŸ“¦ 5.6K Β· πŸ“‹ 830 - 19% open Β· ⏱️ 27.12.2023): ``` git clone https://github.com/arviz-devs/arviz @@ -6265,91 +6306,91 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Netron (πŸ₯‡34 Β· ⭐ 25K) - Visualizer for neural network, deep learning and machine learning.. MIT -- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.6K Β· πŸ“₯ 56K Β· πŸ“¦ 12 Β· πŸ“‹ 1K - 2% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.6K Β· πŸ“₯ 63K Β· πŸ“¦ 12 Β· πŸ“‹ 1K - 2% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 16K / month Β· πŸ“¦ 74 Β· ⏱️ 06.01.2024): +- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 17K / month Β· πŸ“¦ 74 Β· ⏱️ 13.01.2024): ``` pip install netron ```
InterpretML (πŸ₯‡34 Β· ⭐ 5.9K) - Fit interpretable models. Explain blackbox machine learning. MIT -- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 690 Β· πŸ“¦ 600 Β· πŸ“‹ 400 - 19% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 700 Β· πŸ“¦ 610 Β· πŸ“‹ 400 - 19% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/interpretml/interpret ``` -- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 70K / month): +- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 68K / month Β· πŸ“¦ 30 Β· ⏱️ 14.12.2023): ``` pip install interpret ```
Captum (πŸ₯‡33 Β· ⭐ 4.4K) - Model interpretability and understanding for PyTorch. BSD-3 -- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 450 Β· πŸ“¦ 1.7K Β· πŸ“‹ 500 - 33% open Β· ⏱️ 08.01.2024): +- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 460 Β· πŸ“¦ 1.7K Β· πŸ“‹ 520 - 36% open Β· ⏱️ 08.01.2024): ``` git clone https://github.com/pytorch/captum ``` -- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 190K / month): +- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 180K / month Β· πŸ“¦ 60 Β· ⏱️ 05.12.2023): ``` pip install captum ``` -- [Conda](https://anaconda.org/conda-forge/captum) (πŸ“₯ 19K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/captum) (πŸ“₯ 20K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge captum ```
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evaluate (πŸ₯‡32 Β· ⭐ 1.7K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 +
explainerdashboard (πŸ₯‡32 Β· ⭐ 2.1K) - Quickly build Explainable AI dashboards that show the inner.. MIT -- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 200 Β· πŸ“¦ 5.9K Β· πŸ“‹ 250 - 51% open Β· ⏱️ 27.12.2023): +- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 300 Β· πŸ“¦ 430 Β· πŸ“‹ 230 - 14% open Β· ⏱️ 18.12.2023): ``` - git clone https://github.com/huggingface/evaluate + git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 1.8M / month Β· πŸ“¦ 160 Β· ⏱️ 13.10.2023): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 60K / month Β· πŸ“¦ 10 Β· ⏱️ 17.12.2023): ``` - pip install evaluate + pip install explainerdashboard + ``` +- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 42K Β· ⏱️ 17.12.2023): + ``` + conda install -c conda-forge explainerdashboard ```
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DoWhy (πŸ₯ˆ31 Β· ⭐ 6.4K) - DoWhy is a Python library for causal inference that supports explicit.. MIT +
evaluate (πŸ₯‡32 Β· ⭐ 1.7K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 -- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 880 Β· πŸ“₯ 33 Β· πŸ“¦ 320 Β· πŸ“‹ 430 - 29% open Β· ⏱️ 08.01.2024): +- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 200 Β· πŸ“¦ 6.1K Β· πŸ“‹ 250 - 51% open Β· ⏱️ 27.12.2023): ``` - git clone https://github.com/py-why/dowhy - ``` -- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 33K / month Β· πŸ“¦ 7 Β· ⏱️ 25.12.2023): - ``` - pip install dowhy + git clone https://github.com/huggingface/evaluate ``` -- [Conda](https://anaconda.org/conda-forge/dowhy) (πŸ“₯ 18K Β· ⏱️ 30.11.2023): +- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 1.7M / month Β· πŸ“¦ 160 Β· ⏱️ 13.10.2023): ``` - conda install -c conda-forge dowhy + pip install evaluate ```
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explainerdashboard (πŸ₯ˆ31 Β· ⭐ 2.1K) - Quickly build Explainable AI dashboards that show the inner.. MIT +
DoWhy (πŸ₯ˆ31 Β· ⭐ 6.5K) - DoWhy is a Python library for causal inference that supports explicit.. MIT -- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 300 Β· πŸ“¦ 430 Β· πŸ“‹ 230 - 14% open Β· ⏱️ 18.12.2023): +- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 880 Β· πŸ“₯ 33 Β· πŸ“¦ 320 Β· πŸ“‹ 430 - 29% open Β· ⏱️ 16.01.2024): ``` - git clone https://github.com/oegedijk/explainerdashboard + git clone https://github.com/py-why/dowhy ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 57K / month Β· πŸ“¦ 10 Β· ⏱️ 17.12.2023): +- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 32K / month Β· πŸ“¦ 7 Β· ⏱️ 25.12.2023): ``` - pip install explainerdashboard + pip install dowhy ``` -- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 42K Β· ⏱️ 17.12.2023): +- [Conda](https://anaconda.org/conda-forge/dowhy) (πŸ“₯ 19K Β· ⏱️ 30.11.2023): ``` - conda install -c conda-forge explainerdashboard + conda install -c conda-forge dowhy ```
pyLDAvis (πŸ₯ˆ29 Β· ⭐ 1.8K) - Python library for interactive topic model visualization. Port of.. BSD-3 -- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 360 Β· πŸ“¦ 5.6K Β· πŸ“‹ 190 - 41% open Β· ⏱️ 14.12.2023): +- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 360 Β· πŸ“¦ 5.7K Β· πŸ“‹ 190 - 41% open Β· ⏱️ 14.12.2023): ``` git clone https://github.com/bmabey/pyLDAvis @@ -6365,12 +6406,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
fairlearn (πŸ₯ˆ29 Β· ⭐ 1.7K) - A Python package to assess and improve fairness of machine.. MIT -- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 370 Β· πŸ“¦ 3 Β· πŸ“‹ 450 - 36% open Β· ⏱️ 03.01.2024): +- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 370 Β· πŸ“¦ 3 Β· πŸ“‹ 450 - 36% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/fairlearn/fairlearn ``` -- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 190K / month Β· πŸ“¦ 29 Β· ⏱️ 19.12.2023): +- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 210K / month Β· πŸ“¦ 29 Β· ⏱️ 19.12.2023): ``` pip install fairlearn ``` @@ -6381,31 +6422,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Model Analysis (πŸ₯ˆ29 Β· ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 280 Β· πŸ“¦ 2 Β· πŸ“‹ 87 - 39% open Β· ⏱️ 22.12.2023): +- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 280 Β· πŸ“¦ 2 Β· πŸ“‹ 87 - 39% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/tensorflow/model-analysis ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 79K / month Β· πŸ“¦ 23 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 72K / month Β· πŸ“¦ 23 Β· ⏱️ 14.08.2023): ``` pip install tensorflow-model-analysis ```
responsible-ai-widgets (πŸ₯ˆ29 Β· ⭐ 1.1K) - Responsible AI Toolbox is a suite of tools providing.. MIT -- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 290 Β· πŸ“¦ 78 Β· πŸ“‹ 310 - 27% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 290 Β· πŸ“¦ 79 Β· πŸ“‹ 310 - 27% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 5.6K / month Β· πŸ“¦ 3 Β· ⏱️ 28.12.2023): +- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 5.1K / month Β· πŸ“¦ 3 Β· ⏱️ 28.12.2023): ``` pip install raiwidgets ```
dtreeviz (πŸ₯ˆ28 Β· ⭐ 2.7K) - A python library for decision tree visualization and model interpretation. MIT -- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 330 Β· πŸ“¦ 1K Β· πŸ“‹ 200 - 30% open Β· ⏱️ 06.01.2024): +- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 320 Β· πŸ“¦ 1K Β· πŸ“‹ 200 - 30% open Β· ⏱️ 06.01.2024): ``` git clone https://github.com/parrt/dtreeviz @@ -6414,38 +6455,38 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` pip install dtreeviz ``` -- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 64K Β· ⏱️ 13.07.2023): +- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 65K Β· ⏱️ 13.07.2023): ``` conda install -c conda-forge dtreeviz ```
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shapash (πŸ₯ˆ28 Β· ⭐ 2.5K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 +
shapash (πŸ₯ˆ28 Β· ⭐ 2.6K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 -- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 300 Β· πŸ“¦ 140 Β· πŸ“‹ 180 - 19% open Β· ⏱️ 08.12.2023): +- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 310 Β· πŸ“¦ 140 Β· πŸ“‹ 180 - 19% open Β· ⏱️ 08.12.2023): ``` git clone https://github.com/MAIF/shapash ``` -- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 4.4K / month Β· πŸ“¦ 2 Β· ⏱️ 08.12.2023): +- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 4.8K / month Β· πŸ“¦ 2 Β· ⏱️ 08.12.2023): ``` pip install shapash ```
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Alibi (πŸ₯ˆ27 Β· ⭐ 2.2K) - Algorithms for explaining machine learning models. Apache-2 +
Alibi (πŸ₯ˆ27 Β· ⭐ 2.3K) - Algorithms for explaining machine learning models. Apache-2 - [GitHub](https://github.com/SeldonIO/alibi) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 240 Β· πŸ“¦ 550 Β· πŸ“‹ 360 - 37% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/SeldonIO/alibi ``` -- [PyPi](https://pypi.org/project/alibi) (πŸ“₯ 15K / month Β· πŸ“¦ 26 Β· ⏱️ 07.07.2023): +- [PyPi](https://pypi.org/project/alibi) (πŸ“₯ 16K / month Β· πŸ“¦ 26 Β· ⏱️ 07.07.2023): ``` pip install alibi ```
imodels (πŸ₯ˆ27 Β· ⭐ 1.2K) - Interpretable ML package for concise, transparent, and accurate.. MIT -- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 110 Β· πŸ“¦ 59 Β· πŸ“‹ 79 - 34% open Β· ⏱️ 30.12.2023): +- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 110 Β· πŸ“¦ 60 Β· πŸ“‹ 80 - 35% open Β· ⏱️ 30.12.2023): ``` git clone https://github.com/csinva/imodels @@ -6462,39 +6503,39 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/DistrictDataLabs/yellowbrick ``` -- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 380K / month Β· πŸ“¦ 86 Β· ⏱️ 21.08.2022): +- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 390K / month Β· πŸ“¦ 86 Β· ⏱️ 21.08.2022): ``` pip install yellowbrick ``` -- [Conda](https://anaconda.org/conda-forge/yellowbrick) (πŸ“₯ 73K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/yellowbrick) (πŸ“₯ 74K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge yellowbrick ```
LIT (πŸ₯ˆ26 Β· ⭐ 3.3K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2 -- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 340 Β· πŸ“¦ 25 Β· πŸ“‹ 170 - 54% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 340 Β· πŸ“¦ 25 Β· πŸ“‹ 170 - 52% open Β· ⏱️ 08.11.2023): ``` git clone https://github.com/PAIR-code/lit ``` -- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 2.4K / month Β· πŸ“¦ 1 Β· ⏱️ 08.11.2023): +- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 2.2K / month Β· πŸ“¦ 1 Β· ⏱️ 08.11.2023): ``` pip install lit-nlp ``` -- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 66K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 67K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge lit-nlp ```
Fairness 360 (πŸ₯ˆ26 Β· ⭐ 2.2K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 -- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 780 Β· πŸ“¦ 350 Β· πŸ“‹ 240 - 61% open Β· ⏱️ 21.11.2023): +- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 780 Β· πŸ“¦ 360 Β· πŸ“‹ 260 - 63% open Β· ⏱️ 21.11.2023): ``` git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 5.5K / month): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 7.1K / month Β· πŸ“¦ 14 Β· ⏱️ 03.09.2022): ``` pip install aif360 ``` @@ -6505,24 +6546,24 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
iNNvestigate (πŸ₯ˆ26 Β· ⭐ 1.2K) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 -- [GitHub](https://github.com/albermax/innvestigate) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“₯ 89 Β· πŸ“¦ 110 Β· πŸ“‹ 260 - 20% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/albermax/innvestigate) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“₯ 91 Β· πŸ“¦ 110 Β· πŸ“‹ 260 - 20% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/albermax/innvestigate ``` -- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 570 / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 550 / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2023): ``` pip install innvestigate ```
CausalNex (πŸ₯‰25 Β· ⭐ 2.1K) - A Python library that helps data scientists to infer.. Apache-2 -- [GitHub](https://github.com/mckinsey/causalnex) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 230 Β· πŸ“¦ 110 Β· πŸ“‹ 130 - 13% open Β· ⏱️ 11.07.2023): +- [GitHub](https://github.com/mckinsey/causalnex) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 240 Β· πŸ“¦ 110 Β· πŸ“‹ 130 - 13% open Β· ⏱️ 11.07.2023): ``` git clone https://github.com/quantumblacklabs/causalnex ``` -- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 2K / month): +- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 2.1K / month Β· πŸ“¦ 3 Β· ⏱️ 22.06.2023): ``` pip install causalnex ``` @@ -6534,7 +6575,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/marcotcr/checklist ``` -- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 4K / month Β· πŸ“¦ 7 Β· ⏱️ 24.05.2021): +- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 6.3K / month Β· πŸ“¦ 7 Β· ⏱️ 24.05.2021): ``` pip install checklist ``` @@ -6543,31 +6584,43 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge checklist ```
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Explainability 360 (πŸ₯‰24 Β· ⭐ 1.5K) - Interpretability and explainability of data and.. Apache-2 +
keract (πŸ₯‰24 Β· ⭐ 1K) - Layers Outputs and Gradients in Keras. Made easy. MIT + +- [GitHub](https://github.com/philipperemy/keract) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 200 Β· πŸ“‹ 89 - 3% open Β· ⏱️ 17.11.2023): + + ``` + git clone https://github.com/philipperemy/keract + ``` +- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 3.2K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): + ``` + pip install keract + ``` +
+
Explainability 360 (πŸ₯‰23 Β· ⭐ 1.5K) - Interpretability and explainability of data and.. Apache-2 - [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 300 Β· πŸ“¦ 86 Β· πŸ“‹ 84 - 64% open Β· ⏱️ 22.08.2023): ``` git clone https://github.com/Trusted-AI/AIX360 ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): ``` pip install aix360 ```
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keract (πŸ₯‰24 Β· ⭐ 1K) - Layers Outputs and Gradients in Keras. Made easy. MIT +
DiCE (πŸ₯‰23 Β· ⭐ 1.2K) - Generate Diverse Counterfactual Explanations for any machine.. MIT -- [GitHub](https://github.com/philipperemy/keract) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 200 Β· πŸ“‹ 89 - 3% open Β· ⏱️ 17.11.2023): +- [GitHub](https://github.com/interpretml/DiCE) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 170 Β· πŸ“‹ 160 - 42% open Β· ⏱️ 09.12.2023): ``` - git clone https://github.com/philipperemy/keract + git clone https://github.com/interpretml/DiCE ``` -- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 3K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): +- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 40K / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2023): ``` - pip install keract + pip install dice-ml ```
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ecco (πŸ₯‰22 Β· ⭐ 1.8K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 +
ecco (πŸ₯‰22 Β· ⭐ 1.9K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 - [GitHub](https://github.com/jalammar/ecco) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 150 Β· πŸ“₯ 71 Β· πŸ“¦ 28 Β· πŸ“‹ 59 - 47% open Β· ⏱️ 10.08.2023): @@ -6583,26 +6636,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge ecco ```
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DiCE (πŸ₯‰22 Β· ⭐ 1.2K) - Generate Diverse Counterfactual Explanations for any machine.. MIT - -- [GitHub](https://github.com/interpretml/DiCE) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 170 Β· πŸ“‹ 160 - 39% open Β· ⏱️ 09.12.2023): - - ``` - git clone https://github.com/interpretml/DiCE - ``` -- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 43K / month): - ``` - pip install dice-ml - ``` -
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What-If Tool (πŸ₯‰22 Β· ⭐ 860 Β· πŸ’€) - Source code/webpage/demos for the What-If Tool. Apache-2 +
What-If Tool (πŸ₯‰22 Β· ⭐ 870 Β· πŸ’€) - Source code/webpage/demos for the What-If Tool. Apache-2 - [GitHub](https://github.com/PAIR-code/what-if-tool) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 160 Β· πŸ“¦ 2 Β· πŸ“‹ 140 - 58% open Β· ⏱️ 27.04.2023): ``` git clone https://github.com/PAIR-code/what-if-tool ``` -- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 2.3K / month Β· πŸ“¦ 4 Β· ⏱️ 12.10.2021): +- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 2.2K / month Β· πŸ“¦ 4 Β· ⏱️ 12.10.2021): ``` pip install witwidget ``` @@ -6610,59 +6651,71 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` conda install -c conda-forge tensorboard-plugin-wit ``` -- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 870 / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2021): +- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 1K / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2021): ``` npm install wit-widget ```
aequitas (πŸ₯‰21 Β· ⭐ 600) - Bias and Fairness Audit Toolkit. MIT -- [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 100 Β· πŸ“¦ 150 Β· πŸ“‹ 71 - 67% open Β· ⏱️ 19.12.2023): +- [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 100 Β· πŸ“¦ 150 Β· πŸ“‹ 73 - 65% open Β· ⏱️ 19.12.2023): ``` git clone https://github.com/dssg/aequitas ``` -- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 2.1K / month Β· πŸ“¦ 7 Β· ⏱️ 16.12.2020): +- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 2.5K / month Β· πŸ“¦ 7 Β· ⏱️ 16.12.2020): ``` pip install aequitas ```
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model-card-toolkit (πŸ₯‰19 Β· ⭐ 400) - A toolkit that streamlines and automates the generation.. Apache-2 +
model-card-toolkit (πŸ₯‰20 Β· ⭐ 400) - A toolkit that streamlines and automates the generation.. Apache-2 -- [GitHub](https://github.com/tensorflow/model-card-toolkit) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 79 Β· πŸ“₯ 17 Β· πŸ“¦ 22 Β· πŸ“‹ 33 - 30% open Β· ⏱️ 26.07.2023): +- [GitHub](https://github.com/tensorflow/model-card-toolkit) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 80 Β· πŸ“₯ 17 Β· πŸ“¦ 23 Β· πŸ“‹ 33 - 30% open Β· ⏱️ 26.07.2023): ``` git clone https://github.com/tensorflow/model-card-toolkit ``` -- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 940 / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 1.2K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install model-card-toolkit ```
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LOFO (πŸ₯‰18 Β· ⭐ 790 Β· πŸ’€) - Leave One Feature Out Importance. MIT +
LOFO (πŸ₯‰19 Β· ⭐ 790) - Leave One Feature Out Importance. MIT -- [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 80 Β· πŸ“¦ 27 Β· πŸ“‹ 28 - 21% open Β· ⏱️ 14.04.2023): +- [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 81 Β· πŸ“¦ 27 Β· πŸ“‹ 26 - 11% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/aerdem4/lofo-importance ``` -- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 440 / month Β· πŸ“¦ 2 Β· ⏱️ 27.04.2022): +- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 650 / month Β· πŸ“¦ 4 Β· ⏱️ 16.01.2024): ``` pip install lofo-importance ```
fairness-indicators (πŸ₯‰18 Β· ⭐ 330) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 -- [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 78 Β· πŸ“‹ 30 - 70% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 78 Β· πŸ“‹ 30 - 70% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/tensorflow/fairness-indicators ``` -- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 1.5K / month Β· ⏱️ 13.12.2022): +- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 1.7K / month Β· ⏱️ 13.12.2022): ``` pip install fairness-indicators ```
+
sklearn-evaluation (πŸ₯‰17 Β· ⭐ 360 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT + +- [GitHub](https://github.com/edublancas/sklearn-evaluation) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 41 Β· ⏱️ 13.01.2023): + + ``` + git clone https://github.com/edublancas/sklearn-evaluation + ``` +- [PyPi](https://pypi.org/project/sklearn-evaluation) (πŸ“₯ 2K / month Β· πŸ“¦ 5 Β· ⏱️ 28.12.2020): + ``` + pip install sklearn-evaluation + ``` +
FlashTorch (πŸ₯‰16 Β· ⭐ 720) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT - [GitHub](https://github.com/MisaOgura/flashtorch) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 88 Β· πŸ“¦ 15 Β· πŸ“‹ 32 - 31% open Β· ⏱️ 21.09.2023): @@ -6670,46 +6723,56 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/MisaOgura/flashtorch ``` -- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 160 / month Β· ⏱️ 29.05.2020): +- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 180 / month Β· ⏱️ 29.05.2020): ``` pip install flashtorch ```
+
ExplainX.ai (πŸ₯‰16 Β· ⭐ 380) - Explainable AI framework for data scientists. Explain & debug any.. MIT + +- [GitHub](https://github.com/explainX/explainx) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 51 Β· πŸ“₯ 13 Β· πŸ“‹ 39 - 25% open Β· ⏱️ 15.01.2024): + + ``` + git clone https://github.com/explainX/explainx + ``` +- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 380 / month Β· ⏱️ 04.02.2021): + ``` + pip install explainx + ``` +
interpret-text (πŸ₯‰14 Β· ⭐ 390) - A library that incorporates state-of-the-art explainers for.. MIT -- [GitHub](https://github.com/interpretml/interpret-text) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 67 Β· πŸ“‹ 100 - 83% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/interpretml/interpret-text) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 67 Β· πŸ“‹ 100 - 83% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/interpretml/interpret-text ``` -- [PyPi](https://pypi.org/project/interpret-text) (πŸ“₯ 50 / month Β· ⏱️ 07.12.2021): +- [PyPi](https://pypi.org/project/interpret-text) (πŸ“₯ 59 / month Β· ⏱️ 07.12.2021): ``` pip install interpret-text ```
-
Show 21 hidden projects... +
Show 19 hidden projects... - Lime (πŸ₯‡32 Β· ⭐ 11K Β· πŸ’€) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 - Deep Checks (πŸ₯ˆ29 Β· ⭐ 3.2K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 -- eli5 (πŸ₯ˆ27 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT - scikit-plot (πŸ₯ˆ27 Β· ⭐ 2.4K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT +- eli5 (πŸ₯ˆ26 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT - Lucid (πŸ₯‰25 Β· ⭐ 4.6K Β· πŸ’€) - A collection of infrastructure and tools for research in.. Apache-2 -- keras-vis (πŸ₯‰25 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT - DALEX (πŸ₯‰25 Β· ⭐ 1.3K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 +- keras-vis (πŸ₯‰24 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT - random-forest-importances (πŸ₯‰23 Β· ⭐ 580 Β· πŸ’€) - Code to compute permutation and drop-column.. MIT - tf-explain (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - Interpretability Methods for tf.keras models with Tensorflow.. MIT -- Quantus (πŸ₯‰22 Β· ⭐ 450) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 +- Quantus (πŸ₯‰22 Β· ⭐ 460) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 - deeplift (πŸ₯‰21 Β· ⭐ 780 Β· πŸ’€) - Public facing deeplift repo. MIT - TreeInterpreter (πŸ₯‰21 Β· ⭐ 730 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 - tcav (πŸ₯‰18 Β· ⭐ 600 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 - XAI (πŸ₯‰16 Β· ⭐ 1K Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT - Anchor (πŸ₯‰15 Β· ⭐ 770 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 -- Skater (πŸ₯‰14 Β· ⭐ 1.1K Β· πŸ“ˆ) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 -- ExplainX.ai (πŸ₯‰14 Β· ⭐ 380 Β· πŸ’€) - Explainable AI framework for data scientists. Explain & debug any.. MIT +- Skater (πŸ₯‰14 Β· ⭐ 1.1K) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 +- Attribution Priors (πŸ₯‰12 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT - contextual-ai (πŸ₯‰12 Β· ⭐ 85 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2 -- Attribution Priors (πŸ₯‰11 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT - bias-detector (πŸ₯‰11 Β· ⭐ 42 Β· πŸ’€) - Bias Detector is a python package for detecting bias in machine.. MIT -- sklearn-evaluation (πŸ₯‰10 Β· ⭐ 3 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT

@@ -6723,28 +6786,28 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Milvus (πŸ₯‡41 Β· ⭐ 25K) - A cloud-native vector database, storage for next generation AI.. Apache-2 -- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.5K Β· πŸ“₯ 65K Β· πŸ“‹ 10K - 6% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.5K Β· πŸ“₯ 67K Β· πŸ“‹ 10K - 6% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/milvus-io/milvus ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 360K / month Β· πŸ“¦ 81 Β· ⏱️ 03.01.2024): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 360K / month Β· πŸ“¦ 82 Β· ⏱️ 03.01.2024): ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 10M Β· ⭐ 38 Β· ⏱️ 11.01.2024): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 10M Β· ⭐ 39 Β· ⏱️ 18.01.2024): ``` docker pull milvusdb/milvus ```
Faiss (πŸ₯‡38 Β· ⭐ 26K) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 3.2K Β· πŸ“¦ 3.4K Β· πŸ“‹ 2.3K - 17% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 3.2K Β· πŸ“¦ 3.4K Β· πŸ“‹ 2.3K - 17% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/facebookresearch/faiss ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 360K / month Β· πŸ“¦ 81 Β· ⏱️ 03.01.2024): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 360K / month Β· πŸ“¦ 82 Β· ⏱️ 03.01.2024): ``` pip install pymilvus ``` @@ -6760,7 +6823,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/spotify/annoy ``` -- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 840K / month Β· πŸ“¦ 270 Β· ⏱️ 14.06.2023): +- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 800K / month Β· πŸ“¦ 270 Β· ⏱️ 14.06.2023): ``` pip install annoy ``` @@ -6771,7 +6834,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
hnswlib (πŸ₯ˆ33 Β· ⭐ 3.8K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2 -- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 580 Β· πŸ“¦ 5.8K Β· πŸ“‹ 340 - 55% open Β· ⏱️ 03.12.2023): +- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 590 Β· πŸ“¦ 5.8K Β· πŸ“‹ 340 - 55% open Β· ⏱️ 03.12.2023): ``` git clone https://github.com/nmslib/hnswlib @@ -6787,12 +6850,12 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
PyNNDescent (πŸ₯‰29 Β· ⭐ 820) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 -- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 100 Β· πŸ“¦ 5.2K Β· πŸ“‹ 130 - 54% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 100 Β· πŸ“¦ 5.3K Β· πŸ“‹ 130 - 54% open Β· ⏱️ 10.01.2024): ``` git clone https://github.com/lmcinnes/pynndescent ``` -- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 830K / month Β· πŸ“¦ 72 Β· ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 840K / month Β· πŸ“¦ 72 Β· ⏱️ 20.11.2023): ``` pip install pynndescent ``` @@ -6803,20 +6866,20 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
USearch (πŸ₯‰28 Β· ⭐ 1.3K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2 -- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 65 Β· πŸ“₯ 860 Β· πŸ“¦ 41 Β· πŸ“‹ 75 - 32% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 65 Β· πŸ“₯ 860 Β· πŸ“¦ 43 Β· πŸ“‹ 75 - 32% open Β· ⏱️ 09.01.2024): ``` git clone https://github.com/unum-cloud/usearch ``` -- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 43K / month Β· πŸ“¦ 3 Β· ⏱️ 09.01.2024): +- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 41K / month Β· πŸ“¦ 3 Β· ⏱️ 09.01.2024): ``` pip install usearch ``` -- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 5.3K / month Β· πŸ“¦ 8 Β· ⏱️ 09.01.2024): +- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 7.3K / month Β· πŸ“¦ 8 Β· ⏱️ 09.01.2024): ``` npm install usearch ``` -- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 43 Β· ⭐ 1 Β· ⏱️ 09.01.2024): +- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 58 Β· ⭐ 1 Β· ⏱️ 09.01.2024): ``` docker pull unum/usearch ``` @@ -6828,19 +6891,19 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/yahoojapan/NGT ``` -- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 4.6K / month Β· πŸ“¦ 8 Β· ⏱️ 06.12.2023): +- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 4.8K / month Β· πŸ“¦ 8 Β· ⏱️ 06.12.2023): ``` pip install ngt ```
NearPy (πŸ₯‰20 Β· ⭐ 750 Β· πŸ’€) - Python framework for fast (approximated) nearest neighbour search in.. MIT -- [GitHub](https://github.com/pixelogik/NearPy) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 150 Β· πŸ“¦ 96 Β· πŸ“‹ 64 - 39% open Β· ⏱️ 22.01.2023): +- [GitHub](https://github.com/pixelogik/NearPy) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 150 Β· πŸ“¦ 97 Β· πŸ“‹ 64 - 39% open Β· ⏱️ 22.01.2023): ``` git clone https://github.com/pixelogik/NearPy ``` -- [PyPi](https://pypi.org/project/NearPy) (πŸ“₯ 570 / month Β· πŸ“¦ 16 Β· ⏱️ 27.09.2016): +- [PyPi](https://pypi.org/project/NearPy) (πŸ“₯ 590 / month Β· πŸ“¦ 16 Β· ⏱️ 27.09.2016): ``` pip install NearPy ``` @@ -6852,7 +6915,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/kakao/n2 ``` -- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 260 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): +- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 280 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): ``` pip install n2 ``` @@ -6860,7 +6923,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Show 3 hidden projects... - NMSLIB (πŸ₯ˆ31 Β· ⭐ 3.2K Β· πŸ’€) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 -- Magnitude (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - A fast, efficient universal vector embedding utility package. MIT +- Magnitude (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - A fast, efficient universal vector embedding utility package. MIT - PySparNN (πŸ₯‰11 Β· ⭐ 910 Β· πŸ’€) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3

@@ -6873,12 +6936,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (πŸ₯‡40 Β· ⭐ 8K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2 -- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 1.9K Β· πŸ“₯ 1.9K Β· πŸ“¦ 2.6K Β· πŸ“‹ 3.2K - 8% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 1.9K Β· πŸ“₯ 1.9K Β· πŸ“¦ 2.6K Β· πŸ“‹ 3.2K - 8% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/pymc-devs/pymc ``` -- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 560K / month Β· πŸ“¦ 250 Β· ⏱️ 15.03.2022): +- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 590K / month Β· πŸ“¦ 250 Β· ⏱️ 15.03.2022): ``` pip install pymc3 ``` @@ -6889,7 +6952,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
tensorflow-probability (πŸ₯‡37 Β· ⭐ 4K) - Probabilistic reasoning and statistical analysis in.. Apache-2 -- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 1.1K Β· πŸ“‹ 1.4K - 46% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 1.1K Β· πŸ“‹ 1.4K - 46% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/tensorflow/probability @@ -6903,9 +6966,9 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge tensorflow-probability ```
-
Pyro (πŸ₯‡34 Β· ⭐ 8.2K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 +
Pyro (πŸ₯‡34 Β· ⭐ 8.3K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 -- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 970 Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 06.01.2024): +- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 970 Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/pyro-ppl/pyro @@ -6926,7 +6989,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/pydata/patsy ``` -- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 13M / month Β· πŸ“¦ 2.7K Β· ⏱️ 04.01.2024): +- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 12M / month Β· πŸ“¦ 2.8K Β· ⏱️ 04.01.2024): ``` pip install patsy ``` @@ -6935,14 +6998,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge patsy ```
-
pgmpy (πŸ₯ˆ32 Β· ⭐ 2.5K) - Python Library for learning (Structure and Parameter), inference.. MIT +
pgmpy (πŸ₯ˆ32 Β· ⭐ 2.6K) - Python Library for learning (Structure and Parameter), inference.. MIT -- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 690 Β· πŸ“₯ 310 Β· πŸ“¦ 820 Β· πŸ“‹ 880 - 29% open Β· ⏱️ 15.12.2023): +- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 690 Β· πŸ“₯ 310 Β· πŸ“¦ 830 Β· πŸ“‹ 880 - 29% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/pgmpy/pgmpy ``` -- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 42K / month Β· πŸ“¦ 32 Β· ⏱️ 16.10.2023): +- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 39K / month Β· πŸ“¦ 32 Β· ⏱️ 16.10.2023): ``` pip install pgmpy ``` @@ -6954,7 +7017,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/dfm/emcee ``` -- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 110K / month Β· πŸ“¦ 360 Β· ⏱️ 02.02.2023): +- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 110K / month Β· πŸ“¦ 370 Β· ⏱️ 02.02.2023): ``` pip install emcee ``` @@ -6979,36 +7042,36 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge gpytorch ```
-
GPflow (πŸ₯ˆ30 Β· ⭐ 1.8K) - Gaussian processes in TensorFlow. Apache-2 +
hmmlearn (πŸ₯ˆ30 Β· ⭐ 2.9K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 -- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 440 Β· πŸ“¦ 610 Β· πŸ“‹ 820 - 17% open Β· ⏱️ 04.01.2024): +- [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 730 Β· πŸ“¦ 2.2K Β· πŸ“‹ 430 - 13% open Β· ⏱️ 15.01.2024): ``` - git clone https://github.com/GPflow/GPflow + git clone https://github.com/hmmlearn/hmmlearn ``` -- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 41K / month Β· πŸ“¦ 37 Β· ⏱️ 09.08.2023): +- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 200K / month Β· πŸ“¦ 140 Β· ⏱️ 18.04.2023): ``` - pip install gpflow + pip install hmmlearn ``` -- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 25K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 200K Β· ⏱️ 07.10.2023): ``` - conda install -c conda-forge gpflow + conda install -c conda-forge hmmlearn ```
-
SALib (πŸ₯ˆ30 Β· ⭐ 770) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT +
GPflow (πŸ₯ˆ30 Β· ⭐ 1.8K) - Gaussian processes in TensorFlow. Apache-2 -- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 220 Β· πŸ“¦ 1K Β· πŸ“‹ 320 - 15% open Β· ⏱️ 14.11.2023): +- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 440 Β· πŸ“¦ 610 Β· πŸ“‹ 820 - 17% open Β· ⏱️ 04.01.2024): ``` - git clone https://github.com/SALib/SALib + git clone https://github.com/GPflow/GPflow ``` -- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 140K / month Β· πŸ“¦ 87 Β· ⏱️ 08.01.2023): +- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 43K / month Β· πŸ“¦ 37 Β· ⏱️ 09.08.2023): ``` - pip install salib + pip install gpflow ``` -- [Conda](https://anaconda.org/conda-forge/salib) (πŸ“₯ 140K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 25K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge salib + conda install -c conda-forge gpflow ```
pomegranate (πŸ₯‰29 Β· ⭐ 3.2K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT @@ -7018,7 +7081,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/jmschrei/pomegranate ``` -- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 15K / month Β· πŸ“¦ 59 Β· ⏱️ 17.09.2023): +- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 20K / month Β· πŸ“¦ 59 Β· ⏱️ 17.09.2023): ``` pip install pomegranate ``` @@ -7027,30 +7090,46 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge pomegranate ```
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hmmlearn (πŸ₯‰28 Β· ⭐ 2.9K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 +
SALib (πŸ₯‰29 Β· ⭐ 780) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT -- [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 710 Β· πŸ“¦ 2.2K Β· πŸ“‹ 430 - 13% open Β· ⏱️ 09.12.2023): +- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 220 Β· πŸ“¦ 1K Β· πŸ“‹ 310 - 15% open Β· ⏱️ 14.11.2023): ``` - git clone https://github.com/hmmlearn/hmmlearn + git clone https://github.com/SALib/SALib ``` -- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 160K / month): +- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 140K / month Β· πŸ“¦ 88 Β· ⏱️ 08.01.2023): ``` - pip install hmmlearn + pip install salib ``` -- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 200K Β· ⏱️ 07.10.2023): +- [Conda](https://anaconda.org/conda-forge/salib) (πŸ“₯ 140K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge hmmlearn + conda install -c conda-forge salib + ``` +
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PyStan (πŸ₯‰29 Β· ⭐ 300) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC + +- [GitHub](https://github.com/stan-dev/pystan) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 55 Β· πŸ“¦ 9.6K Β· πŸ“‹ 200 - 6% open Β· ⏱️ 05.01.2024): + + ``` + git clone https://github.com/stan-dev/pystan + ``` +- [PyPi](https://pypi.org/project/pystan) (πŸ“₯ 1.6M / month Β· πŸ“¦ 260 Β· ⏱️ 14.12.2023): + ``` + pip install pystan + ``` +- [Conda](https://anaconda.org/conda-forge/pystan) (πŸ“₯ 2.8M Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge pystan ```
bambi (πŸ₯‰27 Β· ⭐ 970) - BAyesian Model-Building Interface (Bambi) in Python. MIT -- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 110 Β· πŸ“¦ 100 Β· πŸ“‹ 370 - 18% open Β· ⏱️ 08.01.2024): +- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 110 Β· πŸ“¦ 100 Β· πŸ“‹ 370 - 17% open Β· ⏱️ 08.01.2024): ``` git clone https://github.com/bambinos/bambi ``` -- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 13K / month Β· πŸ“¦ 9 Β· ⏱️ 25.10.2023): +- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 14K / month): ``` pip install bambi ``` @@ -7061,12 +7140,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
scikit-posthocs (πŸ₯‰25 Β· ⭐ 310) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT -- [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 38 Β· πŸ“₯ 39 Β· πŸ“¦ 570 Β· πŸ“‹ 53 - 11% open Β· ⏱️ 13.12.2023): +- [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 38 Β· πŸ“₯ 39 Β· πŸ“¦ 580 Β· πŸ“‹ 53 - 11% open Β· ⏱️ 13.12.2023): ``` git clone https://github.com/maximtrp/scikit-posthocs ``` -- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 78K / month Β· πŸ“¦ 29 Β· ⏱️ 19.12.2023): +- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 80K / month Β· πŸ“¦ 29 Β· ⏱️ 19.12.2023): ``` pip install scikit-posthocs ``` @@ -7077,7 +7156,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Orbit (πŸ₯‰24 Β· ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 130 Β· πŸ“¦ 42 Β· πŸ“‹ 390 - 13% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 130 Β· πŸ“¦ 42 Β· πŸ“‹ 400 - 13% open Β· ⏱️ 12.01.2024): ``` git clone https://github.com/uber/orbit @@ -7094,21 +7173,20 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/baal-org/baal ``` -- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 02.10.2023): +- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 02.10.2023): ``` pip install baal ``` -- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 7.6K Β· ⏱️ 12.06.2023): +- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 7.7K Β· ⏱️ 12.06.2023): ``` conda install -c conda-forge baal ```
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Show 8 hidden projects... +
Show 7 hidden projects... - filterpy (πŸ₯ˆ32 Β· ⭐ 3K Β· πŸ’€) - Python Kalman filtering and optimal estimation library. Implements.. MIT -- pandas-ta (πŸ₯ˆ30 Β· ⭐ 4.3K Β· πŸ’€) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT +- pandas-ta (πŸ₯ˆ30 Β· ⭐ 4.4K Β· πŸ’€) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT - pingouin (πŸ₯ˆ30 Β· ⭐ 1.5K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 -- PyStan (πŸ₯‰29 Β· ⭐ 290) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC - Edward (πŸ₯‰27 Β· ⭐ 4.8K Β· πŸ’€) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 - Funsor (πŸ₯‰21 Β· ⭐ 230) - Functional tensors for probabilistic programming. Apache-2 - pyhsmm (πŸ₯‰20 Β· ⭐ 540 Β· πŸ’€) - Bayesian inference in HSMMs and HMMs. MIT @@ -7122,30 +7200,30 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes _Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples._ -
ART (πŸ₯‡34 Β· ⭐ 4.2K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT +
ART (πŸ₯‡34 Β· ⭐ 4.3K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT -- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.1K Β· πŸ“¦ 470 Β· πŸ“‹ 880 - 15% open Β· ⏱️ 27.12.2023): +- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.1K Β· πŸ“¦ 480 Β· πŸ“‹ 880 - 15% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox ``` -- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 20K / month Β· πŸ“¦ 11 Β· ⏱️ 27.12.2023): +- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 18K / month Β· πŸ“¦ 11 Β· ⏱️ 27.12.2023): ``` pip install adversarial-robustness-toolbox ``` -- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 35K Β· ⏱️ 27.12.2023): +- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 36K Β· ⏱️ 27.12.2023): ``` conda install -c conda-forge adversarial-robustness-toolbox ```
TextAttack (πŸ₯ˆ30 Β· ⭐ 2.6K) - TextAttack is a Python framework for adversarial attacks, data.. MIT -- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 340 Β· πŸ“¦ 230 Β· πŸ“‹ 260 - 17% open Β· ⏱️ 11.11.2023): +- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 340 Β· πŸ“¦ 230 Β· πŸ“‹ 260 - 18% open Β· ⏱️ 11.11.2023): ``` git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 4.5K / month Β· πŸ“¦ 5 Β· ⏱️ 11.09.2023): +- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 4.9K / month Β· πŸ“¦ 5 Β· ⏱️ 11.09.2023): ``` pip install textattack ``` @@ -7154,14 +7232,14 @@ _Libraries for testing the robustness of machine learning models against attacks conda install -c conda-forge textattack ```
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CleverHans (πŸ₯ˆ29 Β· ⭐ 6K Β· πŸ’€) - An adversarial example library for constructing attacks,.. MIT +
CleverHans (πŸ₯ˆ28 Β· ⭐ 6K Β· πŸ’€) - An adversarial example library for constructing attacks,.. MIT - [GitHub](https://github.com/cleverhans-lab/cleverhans) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.4K Β· πŸ“¦ 580 Β· πŸ“‹ 460 - 8% open Β· ⏱️ 31.01.2023): ``` git clone https://github.com/cleverhans-lab/cleverhans ``` -- [PyPi](https://pypi.org/project/cleverhans) (πŸ“₯ 1K / month Β· πŸ“¦ 12 Β· ⏱️ 24.07.2021): +- [PyPi](https://pypi.org/project/cleverhans) (πŸ“₯ 900 / month Β· πŸ“¦ 12 Β· ⏱️ 24.07.2021): ``` pip install cleverhans ``` @@ -7177,7 +7255,7 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/bethgelab/foolbox ``` -- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 1.6K / month Β· πŸ“¦ 14 Β· ⏱️ 02.04.2022): +- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 1.5K / month Β· πŸ“¦ 14 Β· ⏱️ 02.04.2022): ``` pip install foolbox ``` @@ -7202,34 +7280,14 @@ _Libraries for testing the robustness of machine learning models against attacks _Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks._ -
CuPy (πŸ₯‡38 Β· ⭐ 7.5K Β· πŸ“ˆ) - NumPy & SciPy for GPU. MIT - -- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 720 Β· πŸ“₯ 170K Β· πŸ“¦ 1.9K Β· πŸ“‹ 2.1K - 24% open Β· ⏱️ 11.01.2024): - - ``` - git clone https://github.com/cupy/cupy - ``` -- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 17K / month Β· πŸ“¦ 210 Β· ⏱️ 07.12.2023): - ``` - pip install cupy - ``` -- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 3.3M Β· ⏱️ 04.01.2024): - ``` - conda install -c conda-forge cupy - ``` -- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 59K Β· ⭐ 11 Β· ⏱️ 07.12.2023): - ``` - docker pull cupy/cupy - ``` -
optimum (πŸ₯‡34 Β· ⭐ 1.9K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 -- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 300 Β· πŸ“¦ 1.3K Β· πŸ“‹ 620 - 43% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 300 Β· πŸ“¦ 1.4K Β· πŸ“‹ 630 - 43% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/huggingface/optimum ``` -- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 750K / month Β· πŸ“¦ 57 Β· ⏱️ 15.12.2023): +- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 740K / month Β· πŸ“¦ 60 Β· ⏱️ 15.12.2023): ``` pip install optimum ``` @@ -7238,21 +7296,21 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c conda install -c conda-forge optimum ```
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cuDF (πŸ₯ˆ33 Β· ⭐ 6.9K) - cuDF - GPU DataFrame Library. Apache-2 +
cuDF (πŸ₯‡33 Β· ⭐ 6.9K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 780 Β· πŸ“¦ 50 Β· πŸ“‹ 5.8K - 15% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 780 Β· πŸ“¦ 50 Β· πŸ“‹ 5.9K - 15% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/rapidsai/cudf ``` -- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 2.3K / month): +- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 2.2K / month Β· πŸ“¦ 10 Β· ⏱️ 01.06.2020): ``` pip install cudf ```
gpustat (πŸ₯ˆ31 Β· ⭐ 3.7K) - A simple command-line utility for querying and monitoring GPU status. MIT -- [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 270 Β· πŸ“¦ 4.6K Β· πŸ“‹ 120 - 21% open Β· ⏱️ 24.11.2023): +- [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 270 Β· πŸ“¦ 4.6K Β· πŸ“‹ 120 - 21% open Β· ⏱️ 12.01.2024): ``` git clone https://github.com/wookayin/gpustat @@ -7261,26 +7319,38 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` pip install gpustat ``` -- [Conda](https://anaconda.org/conda-forge/gpustat) (πŸ“₯ 270K Β· ⏱️ 23.08.2023): +- [Conda](https://anaconda.org/conda-forge/gpustat) (πŸ“₯ 280K Β· ⏱️ 23.08.2023): ``` conda install -c conda-forge gpustat ```
Apex (πŸ₯ˆ30 Β· ⭐ 7.8K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 -- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.3K Β· πŸ“¦ 2.2K Β· πŸ“‹ 1.2K - 56% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.3K Β· πŸ“¦ 2.2K Β· πŸ“‹ 1.2K - 56% open Β· ⏱️ 12.01.2024): ``` git clone https://github.com/NVIDIA/apex ``` -- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (πŸ“₯ 180K Β· ⏱️ 10.01.2024): +- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (πŸ“₯ 180K Β· ⏱️ 12.01.2024): ``` conda install -c conda-forge nvidia-apex ```
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cuML (πŸ₯ˆ30 Β· ⭐ 3.8K) - cuML - RAPIDS Machine Learning Library. Apache-2 + +- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 490 Β· πŸ“‹ 2.4K - 35% open Β· ⏱️ 12.01.2024): + + ``` + git clone https://github.com/rapidsai/cuml + ``` +- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 1.8K / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2020): + ``` + pip install cuml + ``` +
PyCUDA (πŸ₯ˆ30 Β· ⭐ 1.7K) - CUDA integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 280 Β· πŸ“¦ 2.6K Β· πŸ“‹ 260 - 30% open Β· ⏱️ 03.01.2024): +- [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 280 Β· πŸ“¦ 2.6K Β· πŸ“‹ 260 - 30% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/inducer/pycuda @@ -7294,86 +7364,94 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c conda install -c conda-forge pycuda ```
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cuML (πŸ₯ˆ29 Β· ⭐ 3.7K) - cuML - RAPIDS Machine Learning Library. Apache-2 +
ArrayFire (πŸ₯ˆ27 Β· ⭐ 4.3K) - ArrayFire: a general purpose GPU library. BSD-3 -- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 490 Β· πŸ“‹ 2.3K - 34% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 510 Β· πŸ“₯ 5.2K Β· πŸ“‹ 1.6K - 18% open Β· ⏱️ 05.10.2023): ``` - git clone https://github.com/rapidsai/cuml + git clone https://github.com/arrayfire/arrayfire ``` -- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 1.9K / month): +- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 720 / month Β· πŸ“¦ 7 Β· ⏱️ 22.02.2022): ``` - pip install cuml + pip install arrayfire ```
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ArrayFire (πŸ₯ˆ26 Β· ⭐ 4.3K) - ArrayFire: a general purpose GPU library. BSD-3 +
cuGraph (πŸ₯ˆ27 Β· ⭐ 1.5K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 510 Β· πŸ“₯ 5.1K Β· πŸ“‹ 1.6K - 18% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 260 Β· πŸ“¦ 2 Β· πŸ“‹ 1.7K - 18% open Β· ⏱️ 18.01.2024): ``` - git clone https://github.com/arrayfire/arrayfire + git clone https://github.com/rapidsai/cugraph ``` -- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 720 / month): +- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 150 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2020): ``` - pip install arrayfire + pip install cugraph + ``` +- [Conda](https://anaconda.org/conda-forge/libcugraph) (πŸ“₯ 18K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge libcugraph ```
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cuGraph (πŸ₯ˆ26 Β· ⭐ 1.5K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 +
CuPy (πŸ₯‰26 Β· ⭐ 7.5K Β· πŸ“‰) - NumPy & SciPy for GPU. MIT -- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 260 Β· πŸ“¦ 2 Β· πŸ“‹ 1.6K - 15% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 740): ``` - git clone https://github.com/rapidsai/cugraph + git clone https://github.com/cupy/cupy ``` -- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 160 / month): +- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 17K / month Β· πŸ“¦ 210 Β· ⏱️ 07.12.2023): ``` - pip install cugraph + pip install cupy ``` -- [Conda](https://anaconda.org/conda-forge/libcugraph) (πŸ“₯ 18K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 3.3M Β· ⏱️ 12.01.2024): ``` - conda install -c conda-forge libcugraph + conda install -c conda-forge cupy + ``` +- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 59K Β· ⭐ 11 Β· ⏱️ 18.01.2024): + ``` + docker pull cupy/cupy ```
DALI (πŸ₯‰25 Β· ⭐ 4.8K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 600 Β· πŸ“‹ 1.6K - 19% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 600 Β· πŸ“‹ 1.6K - 19% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/NVIDIA/DALI ```
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scikit-cuda (πŸ₯‰23 Β· ⭐ 960) - Python interface to GPU-powered libraries. BSD-3 +
scikit-cuda (πŸ₯‰24 Β· ⭐ 960) - Python interface to GPU-powered libraries. BSD-3 - [GitHub](https://github.com/lebedov/scikit-cuda) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 170 Β· πŸ“¦ 280 Β· πŸ“‹ 220 - 23% open Β· ⏱️ 15.10.2023): ``` git clone https://github.com/lebedov/scikit-cuda ``` -- [PyPi](https://pypi.org/project/scikit-cuda) (πŸ“₯ 540 / month Β· πŸ“¦ 50 Β· ⏱️ 27.05.2019): +- [PyPi](https://pypi.org/project/scikit-cuda) (πŸ“₯ 580 / month Β· πŸ“¦ 50 Β· ⏱️ 27.05.2019): ``` pip install scikit-cuda ```
Vulkan Kompute (πŸ₯‰22 Β· ⭐ 1.3K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 -- [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 100 Β· πŸ“₯ 490 Β· πŸ“¦ 8 Β· πŸ“‹ 190 - 32% open Β· ⏱️ 29.11.2023): +- [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 100 Β· πŸ“₯ 490 Β· πŸ“¦ 8 Β· πŸ“‹ 200 - 33% open Β· ⏱️ 29.11.2023): ``` git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 82 / month): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 82 / month Β· ⏱️ 13.04.2022): ``` pip install kp ```
Merlin (πŸ₯‰21 Β· ⭐ 650) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 -- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 98 Β· πŸ“‹ 440 - 44% open Β· ⏱️ 16.12.2023): +- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 100 Β· πŸ“‹ 440 - 44% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/NVIDIA-Merlin/Merlin ``` -- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 3.5K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 3.6K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): ``` pip install merlin-core ``` @@ -7405,7 +7483,7 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (πŸ₯‡38 Β· ⭐ 4.1K) - TFDS is a collection of datasets ready to use with.. Apache-2 -- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.5K Β· πŸ“¦ 16K Β· πŸ“‹ 1.4K - 47% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.5K Β· πŸ“¦ 16K Β· πŸ“‹ 1.4K - 47% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/tensorflow/datasets @@ -7421,19 +7499,19 @@ _Libraries that extend TensorFlow with additional capabilities._
TF Addons (πŸ₯‡35 Β· ⭐ 1.7K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 -- [GitHub](https://github.com/tensorflow/addons) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 560 Β· πŸ“¦ 14K Β· πŸ“‹ 970 - 7% open Β· ⏱️ 13.12.2023): +- [GitHub](https://github.com/tensorflow/addons) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 610 Β· πŸ“¦ 14K Β· πŸ“‹ 980 - 8% open Β· ⏱️ 13.12.2023): ``` git clone https://github.com/tensorflow/addons ``` -- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 720K / month): +- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 720K / month Β· πŸ“¦ 220 Β· ⏱️ 28.11.2023): ``` pip install tensorflow-addons ```
tensorflow-hub (πŸ₯ˆ33 Β· ⭐ 3.4K) - A library for transfer learning by reusing parts of.. Apache-2 -- [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.7K Β· πŸ“‹ 680 - 0% open Β· ⏱️ 20.11.2023): +- [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.7K Β· πŸ“‹ 680 - 0% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/tensorflow/hub @@ -7442,23 +7520,35 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` pip install tensorflow-hub ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 92K Β· ⏱️ 13.07.2023): +- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 93K Β· ⏱️ 13.07.2023): ``` conda install -c conda-forge tensorflow-hub ```
tensor2tensor (πŸ₯ˆ32 Β· ⭐ 14K Β· πŸ’€) - Library of deep learning models and datasets designed.. Apache-2 -- [GitHub](https://github.com/tensorflow/tensor2tensor) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3.3K Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.2K - 46% open Β· ⏱️ 01.04.2023): +- [GitHub](https://github.com/tensorflow/tensor2tensor) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3.3K Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.3K - 46% open Β· ⏱️ 01.04.2023): ``` git clone https://github.com/tensorflow/tensor2tensor ``` -- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 4K / month): +- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 4K / month Β· πŸ“¦ 90 Β· ⏱️ 17.06.2020): ``` pip install tensor2tensor ```
+
TFX (πŸ₯ˆ31 Β· ⭐ 2K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 + +- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 700 Β· πŸ“‹ 1K - 19% open Β· ⏱️ 18.01.2024): + + ``` + git clone https://github.com/tensorflow/tfx + ``` +- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 55K / month Β· πŸ“¦ 14 Β· ⏱️ 06.09.2023): + ``` + pip install tfx + ``` +
TF Model Optimization (πŸ₯ˆ31 Β· ⭐ 1.4K) - A toolkit to optimize ML models for deployment for.. Apache-2 - [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 320 Β· πŸ“¦ 3.4K Β· πŸ“‹ 370 - 55% open Β· ⏱️ 05.01.2024): @@ -7466,57 +7556,57 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 580K / month Β· πŸ“¦ 30 Β· ⏱️ 26.05.2023): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 570K / month Β· πŸ“¦ 30 Β· ⏱️ 26.05.2023): ``` pip install tensorflow-model-optimization ```
TensorFlow Transform (πŸ₯ˆ31 Β· ⭐ 980) - Input pipeline framework. Apache-2 -- [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 210 Β· πŸ“¦ 1.6K Β· πŸ“‹ 220 - 20% open Β· ⏱️ 13.12.2023): +- [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 210 Β· πŸ“¦ 1.6K Β· πŸ“‹ 220 - 20% open Β· ⏱️ 12.01.2024): ``` git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 600K / month Β· πŸ“¦ 56 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 610K / month Β· πŸ“¦ 56 Β· ⏱️ 11.08.2023): ``` pip install tensorflow-transform ```
-
TensorFlow I/O (πŸ₯ˆ30 Β· ⭐ 680) - Dataset, streaming, and file system extensions.. Apache-2 +
TensorFlow I/O (πŸ₯‰30 Β· ⭐ 680) - Dataset, streaming, and file system extensions.. Apache-2 - [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“‹ 630 - 42% open Β· ⏱️ 23.12.2023): ``` git clone https://github.com/tensorflow/io ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 2.6M / month Β· πŸ“¦ 35 Β· ⏱️ 19.12.2023): +- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 2M / month Β· πŸ“¦ 36 Β· ⏱️ 19.12.2023): ``` pip install tensorflow-io ```
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TFX (πŸ₯‰29 Β· ⭐ 2K Β· πŸ“‰) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 +
Neural Structured Learning (πŸ₯‰25 Β· ⭐ 970) - Training neural models with structured signals. Apache-2 -- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 670 Β· πŸ“‹ 880 - 3% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/tensorflow/neural-structured-learning) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 190 Β· πŸ“¦ 410 Β· πŸ“‹ 69 - 1% open Β· ⏱️ 20.09.2023): ``` - git clone https://github.com/tensorflow/tfx + git clone https://github.com/tensorflow/neural-structured-learning ``` -- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 59K / month): +- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 14K / month Β· πŸ“¦ 3 Β· ⏱️ 29.07.2022): ``` - pip install tfx + pip install neural-structured-learning ```
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Neural Structured Learning (πŸ₯‰25 Β· ⭐ 970) - Training neural models with structured signals. Apache-2 +
TensorFlow Cloud (πŸ₯‰24 Β· ⭐ 360) - The TensorFlow Cloud repository provides APIs that.. Apache-2 -- [GitHub](https://github.com/tensorflow/neural-structured-learning) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 190 Β· πŸ“¦ 400 Β· πŸ“‹ 69 - 1% open Β· ⏱️ 20.09.2023): +- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 84 Β· πŸ“¦ 340 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 20.10.2023): ``` - git clone https://github.com/tensorflow/neural-structured-learning + git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 13K / month Β· πŸ“¦ 3 Β· ⏱️ 29.07.2022): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 36K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): ``` - pip install neural-structured-learning + pip install tensorflow-cloud ```
TF Compression (πŸ₯‰23 Β· ⭐ 800) - Data compression in TensorFlow. Apache-2 @@ -7526,29 +7616,17 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 11K / month): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 10K / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2023): ``` pip install tensorflow-compression ```
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TensorFlow Cloud (πŸ₯‰23 Β· ⭐ 360) - The TensorFlow Cloud repository provides APIs that.. Apache-2 - -- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 84 Β· πŸ“¦ 340 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 20.10.2023): - - ``` - git clone https://github.com/tensorflow/cloud - ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 36K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): - ``` - pip install tensorflow-cloud - ``` -
Show 5 hidden projects... - Keras-Preprocessing (πŸ₯‰29 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT -- efficientnet (πŸ₯‰26 Β· ⭐ 2K Β· πŸ’€) - Implementation of EfficientNet model. Keras and.. Apache-2 +- efficientnet (πŸ₯‰25 Β· ⭐ 2K Β· πŸ’€) - Implementation of EfficientNet model. Keras and.. Apache-2 +- Saliency (πŸ₯‰21 Β· ⭐ 920 Β· πŸ’€) - Framework-agnostic implementation for state-of-the-art.. Apache-2 - TensorNets (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT -- Saliency (πŸ₯‰19 Β· ⭐ 920 Β· πŸ’€) - Framework-agnostic implementation for state-of-the-art.. Apache-2 - tffm (πŸ₯‰18 Β· ⭐ 790 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT

@@ -7561,12 +7639,12 @@ _Libraries that extend Jax with additional capabilities._
equinox (πŸ₯‡30 Β· ⭐ 1.6K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2 -- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 100 Β· πŸ“¦ 370 Β· πŸ“‹ 300 - 30% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 100 Β· πŸ“¦ 380 Β· πŸ“‹ 300 - 30% open Β· ⏱️ 11.01.2024): ``` git clone https://github.com/patrick-kidger/equinox ``` -- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 55K / month Β· πŸ“¦ 51 Β· ⏱️ 10.01.2024): +- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 54K / month Β· πŸ“¦ 52 Β· ⏱️ 10.01.2024): ``` pip install equinox ``` @@ -7578,7 +7656,7 @@ _Libraries that extend Jax with additional capabilities._ ``` git clone https://github.com/google/evojax ``` -- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 420 / month Β· πŸ“¦ 2 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 410 / month Β· πŸ“¦ 2 Β· ⏱️ 29.08.2023): ``` pip install evojax ``` @@ -7601,12 +7679,12 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-learn-intelex (πŸ₯‡35 Β· ⭐ 1.1K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 -- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 170 Β· πŸ“¦ 9.2K Β· πŸ“‹ 230 - 25% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 170 Β· πŸ“¦ 9.3K Β· πŸ“‹ 230 - 25% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 120K / month Β· πŸ“¦ 24 Β· ⏱️ 28.11.2023): +- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 130K / month Β· πŸ“¦ 24 Β· ⏱️ 28.11.2023): ``` pip install scikit-learn-intelex ``` @@ -7617,7 +7695,7 @@ _Libraries that extend scikit-learn with additional capabilities._
imbalanced-learn (πŸ₯‡34 Β· ⭐ 6.6K) - A Python Package to Tackle the Curse of Imbalanced.. MIT -- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 1.3K Β· πŸ“¦ 23K Β· πŸ“‹ 580 - 7% open Β· ⏱️ 23.10.2023): +- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 1.3K Β· πŸ“¦ 24K Β· πŸ“‹ 580 - 7% open Β· ⏱️ 23.10.2023): ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn @@ -7638,7 +7716,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/rasbt/mlxtend ``` -- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 590K / month Β· πŸ“¦ 190 Β· ⏱️ 05.01.2024): +- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 620K / month Β· πŸ“¦ 190 Β· ⏱️ 05.01.2024): ``` pip install mlxtend ``` @@ -7670,23 +7748,23 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/koaning/scikit-lego ``` -- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 33K / month Β· πŸ“¦ 8 Β· ⏱️ 12.12.2023): +- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 30K / month Β· πŸ“¦ 8 Β· ⏱️ 12.12.2023): ``` pip install scikit-lego ``` -- [Conda](https://anaconda.org/conda-forge/scikit-lego) (πŸ“₯ 45K Β· ⏱️ 19.07.2023): +- [Conda](https://anaconda.org/conda-forge/scikit-lego) (πŸ“₯ 46K Β· ⏱️ 19.07.2023): ``` conda install -c conda-forge scikit-lego ```
-
scikit-multilearn (πŸ₯ˆ26 Β· ⭐ 880 Β· πŸ’€) - A scikit-learn based module for multi-label et. al... BSD-2 +
scikit-multilearn (πŸ₯ˆ26 Β· ⭐ 890 Β· πŸ’€) - A scikit-learn based module for multi-label et. al... BSD-2 - [GitHub](https://github.com/scikit-multilearn/scikit-multilearn) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 170 Β· πŸ“¦ 1.4K Β· πŸ“‹ 210 - 41% open Β· ⏱️ 19.04.2023): ``` git clone https://github.com/scikit-multilearn/scikit-multilearn ``` -- [PyPi](https://pypi.org/project/scikit-multilearn) (πŸ“₯ 50K / month Β· πŸ“¦ 24 Β· ⏱️ 10.12.2018): +- [PyPi](https://pypi.org/project/scikit-multilearn) (πŸ“₯ 48K / month Β· πŸ“¦ 24 Β· ⏱️ 10.12.2018): ``` pip install scikit-multilearn ``` @@ -7710,19 +7788,19 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/yzhao062/combo ``` -- [PyPi](https://pypi.org/project/combo) (πŸ“₯ 16K / month Β· πŸ“¦ 8 Β· ⏱️ 02.04.2022): +- [PyPi](https://pypi.org/project/combo) (πŸ“₯ 15K / month Β· πŸ“¦ 8 Β· ⏱️ 02.04.2022): ``` pip install combo ```
-
DESlib (πŸ₯‰16 Β· ⭐ 460 Β· πŸ’€) - A Python library for dynamic classifier and ensemble selection. BSD-3 +
DESlib (πŸ₯‰14 Β· ⭐ 460 Β· πŸ’€) - A Python library for dynamic classifier and ensemble selection. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 77 Β· πŸ“‹ 150 - 10% open Β· ⏱️ 18.06.2023): +- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 78 Β· πŸ“‹ 150 - 11% open Β· ⏱️ 18.06.2023): ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` -- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 980 / month Β· πŸ“¦ 2 Β· ⏱️ 08.02.2021): +- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 910 / month): ``` pip install deslib ``` @@ -7738,7 +7816,7 @@ _Libraries that extend scikit-learn with additional capabilities._ - scikit-tda (πŸ₯‰18 Β· ⭐ 470 Β· πŸ’€) - Topological Data Analysis for Python. MIT - celer (πŸ₯‰18 Β· ⭐ 190) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 - skggm (πŸ₯‰17 Β· ⭐ 230 Β· πŸ’€) - Scikit-learn compatible estimation of general graphical models. MIT -- dabl (πŸ₯‰15 Β· ⭐ 130) - Data Analysis Baseline Library. BSD-3 +- dabl (πŸ₯‰16 Β· ⭐ 130) - Data Analysis Baseline Library. BSD-3

@@ -7748,30 +7826,30 @@ _Libraries that extend scikit-learn with additional capabilities._ _Libraries that extend Pytorch with additional capabilities._ -
accelerate (πŸ₯‡39 Β· ⭐ 6.3K) - A simple way to train and use PyTorch models with multi-.. Apache-2 +
accelerate (πŸ₯‡39 Β· ⭐ 6.4K) - A simple way to train and use PyTorch models with multi-.. Apache-2 -- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 710 Β· πŸ“¦ 23K Β· πŸ“‹ 1.2K - 8% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 710 Β· πŸ“¦ 24K Β· πŸ“‹ 1.2K - 8% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/huggingface/accelerate ``` -- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 6.4M / month Β· πŸ“¦ 520 Β· ⏱️ 11.01.2024): +- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 6.7M / month Β· πŸ“¦ 520 Β· ⏱️ 11.01.2024): ``` pip install accelerate ``` -- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 96K Β· ⏱️ 10.01.2024): +- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 97K Β· ⏱️ 11.01.2024): ``` conda install -c conda-forge accelerate ```
PML (πŸ₯‡33 Β· ⭐ 5.6K) - The easiest way to use deep metric learning in your application. Modular,.. MIT -- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 640 Β· πŸ“¦ 1.1K Β· πŸ“‹ 490 - 11% open Β· ⏱️ 16.12.2023): +- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 640 Β· πŸ“¦ 1.2K Β· πŸ“‹ 490 - 11% open Β· ⏱️ 16.12.2023): ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 210K / month Β· πŸ“¦ 30 Β· ⏱️ 16.12.2023): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 230K / month Β· πŸ“¦ 30 Β· ⏱️ 16.12.2023): ``` pip install pytorch-metric-learning ``` @@ -7782,12 +7860,28 @@ _Libraries that extend Pytorch with additional capabilities._
tinygrad (πŸ₯‡31 Β· ⭐ 22K) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.4K Β· πŸ“¦ 38 Β· πŸ“‹ 460 - 15% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.4K Β· πŸ“¦ 39 Β· πŸ“‹ 470 - 15% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/geohot/tinygrad ```
+
torchdiffeq (πŸ₯‡29 Β· ⭐ 5K) - Differentiable ODE solvers with full GPU support and O(1)-memory.. MIT + +- [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 850 Β· πŸ“¦ 2.8K Β· πŸ“‹ 210 - 30% open Β· ⏱️ 19.10.2023): + + ``` + git clone https://github.com/rtqichen/torchdiffeq + ``` +- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 760K / month Β· πŸ“¦ 46 Β· ⏱️ 22.04.2022): + ``` + pip install torchdiffeq + ``` +- [Conda](https://anaconda.org/conda-forge/torchdiffeq) (πŸ“₯ 14K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge torchdiffeq + ``` +
pytorch-optimizer (πŸ₯‡29 Β· ⭐ 2.9K Β· πŸ’€) - torch-optimizer -- collection of optimizers for.. Apache-2 - [GitHub](https://github.com/jettify/pytorch-optimizer) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 280 Β· πŸ“¦ 1.1K Β· πŸ“‹ 62 - 51% open Β· ⏱️ 20.06.2023): @@ -7795,23 +7889,23 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/jettify/pytorch-optimizer ``` -- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 130K / month Β· πŸ“¦ 45 Β· ⏱️ 31.10.2021): +- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 140K / month Β· πŸ“¦ 46 Β· ⏱️ 31.10.2021): ``` pip install torch_optimizer ``` -- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (πŸ“₯ 9.4K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (πŸ“₯ 9.5K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge torch-optimizer ```
torchsde (πŸ₯‡29 Β· ⭐ 1.4K) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 -- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 170 Β· πŸ“¦ 2.1K Β· πŸ“‹ 70 - 25% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 170 Β· πŸ“¦ 2.2K Β· πŸ“‹ 71 - 26% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/google-research/torchsde ``` -- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 1.4M / month): +- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 1.5M / month Β· πŸ“¦ 15 Β· ⏱️ 26.09.2023): ``` pip install torchsde ``` @@ -7820,22 +7914,6 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c conda-forge torchsde ```
-
torchdiffeq (πŸ₯ˆ27 Β· ⭐ 5K) - Differentiable ODE solvers with full GPU support and O(1)-memory.. MIT - -- [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 840 Β· πŸ“¦ 2.7K Β· πŸ“‹ 210 - 30% open Β· ⏱️ 19.10.2023): - - ``` - git clone https://github.com/rtqichen/torchdiffeq - ``` -- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 750K / month): - ``` - pip install torchdiffeq - ``` -- [Conda](https://anaconda.org/conda-forge/torchdiffeq) (πŸ“₯ 14K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge torchdiffeq - ``` -
lightning-flash (πŸ₯ˆ27 Β· ⭐ 1.7K) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 - [GitHub](https://github.com/Lightning-Universe/lightning-flash) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 210 Β· πŸ“¦ 260 Β· πŸ“‹ 520 - 4% open Β· ⏱️ 08.10.2023): @@ -7843,7 +7921,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/Lightning-AI/lightning-flash ``` -- [PyPi](https://pypi.org/project/lightning-flash) (πŸ“₯ 1.6K / month Β· πŸ“¦ 3 Β· ⏱️ 11.05.2022): +- [PyPi](https://pypi.org/project/lightning-flash) (πŸ“₯ 1.7K / month Β· πŸ“¦ 3 Β· ⏱️ 11.05.2022): ``` pip install lightning-flash ``` @@ -7854,44 +7932,44 @@ _Libraries that extend Pytorch with additional capabilities._
torch-scatter (πŸ₯ˆ27 Β· ⭐ 1.4K) - PyTorch Extension Library of Optimized Scatter Operations. MIT -- [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 170 Β· πŸ“‹ 340 - 6% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 170 Β· πŸ“‹ 350 - 6% open Β· ⏱️ 05.10.2023): ``` git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 33K / month Β· πŸ“¦ 84 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 32K / month Β· πŸ“¦ 84 Β· ⏱️ 06.10.2023): ``` pip install torch-scatter ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 240K Β· ⏱️ 29.11.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 240K Β· ⏱️ 12.01.2024): ``` conda install -c conda-forge pytorch_scatter ```
-
TabNet (πŸ₯ˆ24 Β· ⭐ 2.4K) - PyTorch implementation of TabNet paper :.. MIT +
TabNet (πŸ₯ˆ26 Β· ⭐ 2.4K) - PyTorch implementation of TabNet paper :.. MIT - [GitHub](https://github.com/dreamquark-ai/tabnet) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 450 Β· πŸ“‹ 330 - 15% open Β· ⏱️ 23.07.2023): ``` git clone https://github.com/dreamquark-ai/tabnet ``` -- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 31K / month): +- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 30K / month Β· πŸ“¦ 11 Β· ⏱️ 23.07.2023): ``` pip install pytorch-tabnet ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (πŸ“₯ 6K Β· ⏱️ 20.12.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (πŸ“₯ 6.1K Β· ⏱️ 20.12.2023): ``` conda install -c conda-forge pytorch-tabnet ```
Pytorch Toolbelt (πŸ₯ˆ24 Β· ⭐ 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT -- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 120 Β· πŸ“₯ 7 Β· πŸ“‹ 30 - 3% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 120 Β· πŸ“₯ 7 Β· πŸ“‹ 31 - 6% open Β· ⏱️ 12.01.2024): ``` git clone https://github.com/BloodAxe/pytorch-toolbelt ``` -- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 6.6K / month Β· πŸ“¦ 7 Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 6.2K / month Β· πŸ“¦ 7 Β· ⏱️ 27.06.2022): ``` pip install pytorch_toolbelt ``` @@ -7903,7 +7981,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rusty1s/pytorch_sparse ``` -- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 21K / month Β· πŸ“¦ 75 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 20K / month Β· πŸ“¦ 75 Β· ⏱️ 06.10.2023): ``` pip install torch-sparse ``` @@ -7919,7 +7997,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/lucidrains/reformer-pytorch ``` -- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 2.9K / month Β· ⏱️ 06.11.2021): +- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 3.2K / month Β· ⏱️ 06.11.2021): ``` pip install reformer-pytorch ``` @@ -7931,7 +8009,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/facebookresearch/madgrad ``` -- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 3.4K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): +- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 2.9K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): ``` pip install madgrad ``` @@ -7939,21 +8017,21 @@ _Libraries that extend Pytorch with additional capabilities._
Show 19 hidden projects... - pretrainedmodels (πŸ₯‡29 Β· ⭐ 8.9K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 +- EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.6K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 - pytorch-summary (πŸ₯ˆ27 Β· ⭐ 3.9K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()`.. MIT - SRU (πŸ₯‰23 Β· ⭐ 2.1K Β· πŸ’€) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT - Torchmeta (πŸ₯‰23 Β· ⭐ 1.9K Β· πŸ’€) - A collection of extensions and data-loaders for few-shot.. MIT - Higher (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - higher is a pytorch library allowing users to obtain higher.. Apache-2 - EfficientNets (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 -- EfficientNet-PyTorch (πŸ₯‰22 Β· ⭐ 7.6K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 - Antialiased CNNs (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 - AdaBound (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 - Lambda Networks (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Implementation of LambdaNetworks, a new approach to.. MIT - pytorchviz (πŸ₯‰19 Β· ⭐ 2.9K Β· πŸ’€) - A small package to create visualizations of PyTorch execution.. MIT +- Performer Pytorch (πŸ₯‰19 Β· ⭐ 1K Β· πŸ’€) - An implementation of Performer, a linear attention-.. MIT - Poutyne (πŸ₯‰19 Β· ⭐ 560) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 - micrograd (πŸ₯‰18 Β· ⭐ 7.1K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT -- Performer Pytorch (πŸ₯‰18 Β· ⭐ 1K Β· πŸ’€) - An implementation of Performer, a linear attention-.. MIT - Torch-Struct (πŸ₯‰17 Β· ⭐ 1.1K Β· πŸ’€) - Fast, general, and tested differentiable structured.. MIT -- Tensor Sensor (πŸ₯‰17 Β· ⭐ 740 Β· πŸ’€) - The goal of this library is to generate more helpful.. MIT +- Tensor Sensor (πŸ₯‰17 Β· ⭐ 750 Β· πŸ’€) - The goal of this library is to generate more helpful.. MIT - Tez (πŸ₯‰16 Β· ⭐ 1.2K Β· πŸ’€) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 - Pywick (πŸ₯‰15 Β· ⭐ 400 Β· πŸ’€) - High-level batteries-included neural network training library for.. MIT - TorchDrift (πŸ₯‰14 Β· ⭐ 300 Β· πŸ’€) - Drift Detection for your PyTorch Models. Apache-2 @@ -7974,77 +8052,77 @@ _Libraries for connecting to, operating, and querying databases._ Back to top -
SymPy (πŸ₯‡46 Β· ⭐ 12K) - A computer algebra system written in pure Python. BSD-3 +
scipy (πŸ₯‡48 Β· ⭐ 12K Β· πŸ“ˆ) - Ecosystem of open-source software for mathematics, science, and.. BSD-3 -- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4.1K Β· πŸ“₯ 530K Β· πŸ“¦ 100K Β· πŸ“‹ 13K - 36% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 5K Β· πŸ“₯ 390K Β· πŸ“¦ 21 Β· πŸ“‹ 9.9K - 17% open Β· ⏱️ 18.01.2024): ``` - git clone https://github.com/sympy/sympy + git clone https://github.com/scipy/scipy ``` -- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 9.1M / month Β· πŸ“¦ 4.9K Β· ⏱️ 10.05.2023): +- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 67M / month Β· πŸ“¦ 66K Β· ⏱️ 18.11.2023): ``` - pip install sympy + pip install scipy ``` -- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 4.9M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 45M Β· ⏱️ 24.11.2023): ``` - conda install -c conda-forge sympy + conda install -c conda-forge scipy ```
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Gradio (πŸ₯‡43 Β· ⭐ 25K) - Wrap UIs around any model, share with anyone. Apache-2 +
SymPy (πŸ₯‡46 Β· ⭐ 12K) - A computer algebra system written in pure Python. BSD-3 -- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.8K Β· πŸ“¦ 21K Β· πŸ“‹ 3.5K - 12% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4.1K Β· πŸ“₯ 530K Β· πŸ“¦ 110K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 17.01.2024): ``` - git clone https://github.com/gradio-app/gradio + git clone https://github.com/sympy/sympy ``` -- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 4.1M / month Β· πŸ“¦ 260 Β· ⏱️ 10.01.2024): +- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 9.2M / month Β· πŸ“¦ 4.9K Β· ⏱️ 10.05.2023): ``` - pip install gradio + pip install sympy + ``` +- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 4.9M Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge sympy ```
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scipy (πŸ₯‡43 Β· ⭐ 12K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 +
Gradio (πŸ₯‡43 Β· ⭐ 26K) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 4.8K Β· πŸ“₯ 390K Β· πŸ“¦ 21 Β· πŸ“‹ 9.6K - 15% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.8K Β· πŸ“¦ 21K Β· πŸ“‹ 3.5K - 12% open Β· ⏱️ 17.01.2024): ``` - git clone https://github.com/scipy/scipy - ``` -- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 67M / month): - ``` - pip install scipy + git clone https://github.com/gradio-app/gradio ``` -- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 44M Β· ⏱️ 24.11.2023): +- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 4.4M / month): ``` - conda install -c conda-forge scipy + pip install gradio ```
Streamlit (πŸ₯‡40 Β· ⭐ 30K) - Streamlit A faster way to build and share data apps. Apache-2 -- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2.7K Β· πŸ“‹ 3.8K - 18% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2.7K Β· πŸ“‹ 3.9K - 18% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/streamlit/streamlit ``` -- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 2.8M / month Β· πŸ“¦ 1.3K Β· ⏱️ 30.11.2023): +- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 2.8M / month Β· πŸ“¦ 1.3K Β· ⏱️ 11.01.2024): ``` pip install streamlit ```
carla (πŸ₯‡36 Β· ⭐ 10K) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 3.1K Β· πŸ“¦ 620 Β· πŸ“‹ 4.8K - 20% open Β· ⏱️ 10.11.2023): +- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 3.2K Β· πŸ“¦ 620 Β· πŸ“‹ 4.8K - 20% open Β· ⏱️ 10.11.2023): ``` git clone https://github.com/carla-simulator/carla ``` -- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 12K / month Β· πŸ“¦ 6 Β· ⏱️ 14.11.2023): +- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 13K / month Β· πŸ“¦ 7 Β· ⏱️ 14.11.2023): ``` pip install carla ```
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DeepChem (πŸ₯‡36 Β· ⭐ 4.8K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT +
DeepChem (πŸ₯‡36 Β· ⭐ 4.9K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT -- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.6K Β· πŸ“¦ 300 Β· πŸ“‹ 1.8K - 30% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.6K Β· πŸ“¦ 300 Β· πŸ“‹ 1.8K - 30% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/deepchem/deepchem @@ -8060,28 +8138,28 @@ _Libraries for connecting to, operating, and querying databases._
Datasette (πŸ₯‡34 Β· ⭐ 8.6K) - An open source multi-tool for exploring and publishing data. Apache-2 -- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 620 Β· πŸ“₯ 59 Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.7K - 32% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 620 Β· πŸ“₯ 59 Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.7K - 31% open Β· ⏱️ 12.01.2024): ``` git clone https://github.com/simonw/datasette ``` -- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 34K / month Β· πŸ“¦ 210 Β· ⏱️ 22.12.2023): +- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 37K / month Β· πŸ“¦ 210 Β· ⏱️ 22.12.2023): ``` pip install datasette ``` -- [Conda](https://anaconda.org/conda-forge/datasette) (πŸ“₯ 29K Β· ⏱️ 03.01.2024): +- [Conda](https://anaconda.org/conda-forge/datasette) (πŸ“₯ 30K Β· ⏱️ 03.01.2024): ``` conda install -c conda-forge datasette ```
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PyOD (πŸ₯‡34 Β· ⭐ 7.7K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2 +
PyOD (πŸ₯‡34 Β· ⭐ 7.8K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2 - [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 1.3K Β· πŸ“¦ 3.2K Β· πŸ“‹ 330 - 56% open Β· ⏱️ 16.12.2023): ``` git clone https://github.com/yzhao062/pyod ``` -- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 600K / month Β· πŸ“¦ 64 Β· ⏱️ 18.11.2023): +- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 610K / month Β· πŸ“¦ 64 Β· ⏱️ 18.11.2023): ``` pip install pyod ``` @@ -8090,41 +8168,41 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pyod ```
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Autograd (πŸ₯ˆ33 Β· ⭐ 6.6K) - Efficiently computes derivatives of numpy code. MIT +
PennyLane (πŸ₯‡34 Β· ⭐ 2K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 -- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 870 Β· πŸ“¦ 7.1K Β· πŸ“‹ 410 - 42% open Β· ⏱️ 16.11.2023): +- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 520 Β· πŸ“₯ 70 Β· πŸ“¦ 720 Β· πŸ“‹ 1.1K - 24% open Β· ⏱️ 18.01.2024): ``` - git clone https://github.com/HIPS/autograd + git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1M / month Β· πŸ“¦ 320 Β· ⏱️ 23.06.2023): +- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 33K / month Β· πŸ“¦ 69 Β· ⏱️ 08.01.2024): ``` - pip install autograd + pip install pennylane ``` -- [Conda](https://anaconda.org/conda-forge/autograd) (πŸ“₯ 380K Β· ⏱️ 26.06.2023): +- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 32K Β· ⏱️ 16.01.2024): ``` - conda install -c conda-forge autograd + conda install -c conda-forge pennylane ```
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PennyLane (πŸ₯ˆ33 Β· ⭐ 2K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 +
Autograd (πŸ₯ˆ33 Β· ⭐ 6.6K) - Efficiently computes derivatives of numpy code. MIT -- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 520 Β· πŸ“₯ 70 Β· πŸ“¦ 710 Β· πŸ“‹ 1.1K - 24% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 870 Β· πŸ“¦ 7.1K Β· πŸ“‹ 410 - 42% open Β· ⏱️ 16.11.2023): ``` - git clone https://github.com/PennyLaneAI/PennyLane + git clone https://github.com/HIPS/autograd ``` -- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 36K / month Β· πŸ“¦ 69 Β· ⏱️ 08.01.2024): +- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.1M / month Β· πŸ“¦ 320 Β· ⏱️ 23.06.2023): ``` - pip install pennylane + pip install autograd ``` -- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 31K Β· ⏱️ 21.11.2023): +- [Conda](https://anaconda.org/conda-forge/autograd) (πŸ“₯ 380K Β· ⏱️ 26.06.2023): ``` - conda install -c conda-forge pennylane + conda install -c conda-forge autograd ```
Pythran (πŸ₯ˆ33 Β· ⭐ 1.9K) - Ahead of Time compiler for numeric kernels. BSD-3 -- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 190 Β· πŸ“¦ 1.6K Β· πŸ“‹ 840 - 14% open Β· ⏱️ 07.01.2024): +- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 190 Β· πŸ“¦ 1.7K Β· πŸ“‹ 840 - 14% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/serge-sans-paille/pythran @@ -8138,6 +8216,22 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pythran ```
+
agate (πŸ₯ˆ33 Β· ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT + +- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 150 Β· πŸ“¦ 2.7K Β· πŸ“‹ 650 - 1% open Β· ⏱️ 21.12.2023): + + ``` + git clone https://github.com/wireservice/agate + ``` +- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 4M / month Β· πŸ“¦ 150 Β· ⏱️ 21.12.2023): + ``` + pip install agate + ``` +- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 160K Β· ⏱️ 21.12.2023): + ``` + conda install -c conda-forge agate + ``` +
PaddleHub (πŸ₯ˆ32 Β· ⭐ 12K Β· πŸ’€) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleHub) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 2.1K Β· πŸ“₯ 660 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.3K - 44% open Β· ⏱️ 28.03.2023): @@ -8173,7 +8267,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/scikit-learn-contrib/hdbscan ``` -- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 400K / month Β· πŸ“¦ 220 Β· ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 420K / month Β· πŸ“¦ 220 Β· ⏱️ 20.11.2023): ``` pip install hdbscan ``` @@ -8182,20 +8276,16 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge hdbscan ```
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agate (πŸ₯ˆ31 Β· ⭐ 1.2K Β· πŸ“‰) - A Python data analysis library that is optimized for humans instead of.. MIT +
causalml (πŸ₯ˆ30 Β· ⭐ 4.5K) - Uplift modeling and causal inference with machine learning.. Apache-2 -- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 140 Β· πŸ“¦ 2.6K Β· πŸ“‹ 640 - 0% open Β· ⏱️ 21.12.2023): +- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 710 Β· πŸ“¦ 180 Β· πŸ“‹ 400 - 21% open Β· ⏱️ 12.01.2024): ``` - git clone https://github.com/wireservice/agate - ``` -- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 3.9M / month): + git clone https://github.com/uber/causalml ``` - pip install agate +- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 72K / month Β· πŸ“¦ 1 Β· ⏱️ 28.08.2023): ``` -- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 160K Β· ⏱️ 21.12.2023): - ``` - conda install -c conda-forge agate + pip install causalml ```
tensorly (πŸ₯ˆ30 Β· ⭐ 1.5K) - TensorLy: Tensor Learning in Python. BSD-2 @@ -8205,7 +8295,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 11K / month Β· πŸ“¦ 52 Β· ⏱️ 08.03.2023): +- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 10K / month Β· πŸ“¦ 52 Β· ⏱️ 08.03.2023): ``` pip install tensorly ``` @@ -8216,12 +8306,12 @@ _Libraries for connecting to, operating, and querying databases._
pyjanitor (πŸ₯ˆ30 Β· ⭐ 1.2K) - Clean APIs for data cleaning. Python implementation of R package.. MIT -- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 160 Β· πŸ“¦ 530 Β· πŸ“‹ 540 - 19% open Β· ⏱️ 10.01.2024): +- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 160 Β· πŸ“¦ 530 Β· πŸ“‹ 540 - 19% open Β· ⏱️ 13.01.2024): ``` git clone https://github.com/pyjanitor-devs/pyjanitor ``` -- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 39K / month Β· πŸ“¦ 20 Β· ⏱️ 18.09.2023): +- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 42K / month Β· πŸ“¦ 20 Β· ⏱️ 18.09.2023): ``` pip install pyjanitor ``` @@ -8230,66 +8320,58 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pyjanitor ```
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datalad (πŸ₯ˆ30 Β· ⭐ 470) - Keep code, data, containers under control with git and git-annex. MIT +
pyopencl (πŸ₯ˆ30 Β· ⭐ 1K) - OpenCL integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 110 Β· πŸ“‹ 3.9K - 12% open Β· ⏱️ 02.01.2024): +- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 240 Β· πŸ“¦ 1.8K Β· πŸ“‹ 340 - 21% open Β· ⏱️ 02.01.2024): ``` - git clone https://github.com/datalad/datalad + git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 15K / month Β· πŸ“¦ 65 Β· ⏱️ 28.12.2023): +- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 36K / month Β· πŸ“¦ 210 Β· ⏱️ 12.10.2023): ``` - pip install datalad + pip install pyopencl ``` -- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 410K Β· ⏱️ 28.12.2023): +- [Conda](https://anaconda.org/conda-forge/pyopencl) (πŸ“₯ 970K Β· ⏱️ 13.10.2023): ``` - conda install -c conda-forge datalad + conda install -c conda-forge pyopencl ```
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pandas-ai (πŸ₯ˆ29 Β· ⭐ 9.5K) - Chat with your data (CSV, pandas, polars, etc). PandasAI makes data.. MIT +
datalad (πŸ₯ˆ30 Β· ⭐ 480) - Keep code, data, containers under control with git and git-annex. MIT -- [GitHub](https://github.com/gventuri/pandas-ai) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 800 Β· πŸ“¦ 2.5K Β· πŸ“‹ 430 - 38% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 110 Β· πŸ“‹ 3.9K - 12% open Β· ⏱️ 02.01.2024): ``` - git clone https://github.com/gventuri/pandas-ai - ``` -- [PyPi](https://pypi.org/project/pandas-ai): - ``` - pip install pandas-ai + git clone https://github.com/datalad/datalad ``` -
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anomalib (πŸ₯ˆ28 Β· ⭐ 2.8K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 - -- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 500 Β· πŸ“₯ 5.2K Β· πŸ“¦ 43 Β· πŸ“‹ 640 - 10% open Β· ⏱️ 10.01.2024): - +- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 15K / month Β· πŸ“¦ 65 Β· ⏱️ 28.12.2023): ``` - git clone https://github.com/openvinotoolkit/anomalib + pip install datalad ``` -- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 8.4K / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2024): +- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 420K Β· ⏱️ 28.12.2023): ``` - pip install anomalib + conda install -c conda-forge datalad ```
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avalanche (πŸ₯ˆ28 Β· ⭐ 1.6K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT +
pandas-ai (πŸ₯ˆ29 Β· ⭐ 9.5K) - Chat with your data (CSV, pandas, polars, etc). PandasAI makes data.. MIT -- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 260 Β· πŸ“₯ 4 Β· πŸ“¦ 63 Β· πŸ“‹ 760 - 11% open Β· ⏱️ 20.12.2023): +- [GitHub](https://github.com/gventuri/pandas-ai) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 810 Β· πŸ“¦ 2.5K Β· πŸ“‹ 440 - 38% open Β· ⏱️ 17.01.2024): ``` - git clone https://github.com/ContinualAI/avalanche + git clone https://github.com/gventuri/pandas-ai ``` -- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 740 / month Β· πŸ“¦ 1 Β· ⏱️ 28.07.2023): +- [PyPi](https://pypi.org/project/pandas-ai): ``` - pip install avalanche-lib + pip install pandas-ai ```
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kmodes (πŸ₯ˆ28 Β· ⭐ 1.2K Β· πŸ’€) - Python implementations of the k-modes and k-prototypes clustering.. MIT +
kmodes (πŸ₯ˆ29 Β· ⭐ 1.2K) - Python implementations of the k-modes and k-prototypes clustering.. MIT -- [GitHub](https://github.com/nicodv/kmodes) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 400 Β· πŸ“¦ 2.4K Β· πŸ“‹ 160 - 10% open Β· ⏱️ 20.04.2023): +- [GitHub](https://github.com/nicodv/kmodes) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 400 Β· πŸ“¦ 2.4K Β· πŸ“‹ 160 - 10% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/nicodv/kmodes ``` -- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 340K / month Β· πŸ“¦ 33 Β· ⏱️ 06.09.2022): +- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 310K / month Β· πŸ“¦ 33 Β· ⏱️ 06.09.2022): ``` pip install kmodes ``` @@ -8305,7 +8387,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/ljvmiranda921/pyswarms ``` -- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 50K / month Β· πŸ“¦ 14 Β· ⏱️ 03.01.2021): +- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 44K / month Β· πŸ“¦ 14 Β· ⏱️ 03.01.2021): ``` pip install pyswarms ``` @@ -8317,7 +8399,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/MaxHalford/prince ``` -- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 97K / month Β· πŸ“¦ 10 Β· ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 98K / month Β· πŸ“¦ 10 Β· ⏱️ 11.10.2023): ``` pip install prince ``` @@ -8328,7 +8410,7 @@ _Libraries for connecting to, operating, and querying databases._
pysc2 (πŸ₯‰27 Β· ⭐ 7.9K Β· πŸ’€) - StarCraft II Learning Environment. Apache-2 -- [GitHub](https://github.com/google-deepmind/pysc2) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 1.2K Β· πŸ“₯ 31K Β· πŸ“¦ 660 Β· πŸ“‹ 280 - 16% open Β· ⏱️ 19.04.2023): +- [GitHub](https://github.com/google-deepmind/pysc2) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 1.2K Β· πŸ“₯ 31K Β· πŸ“¦ 660 Β· πŸ“‹ 280 - 17% open Β· ⏱️ 19.04.2023): ``` git clone https://github.com/deepmind/pysc2 @@ -8338,6 +8420,18 @@ _Libraries for connecting to, operating, and querying databases._ pip install pysc2 ```
+
anomalib (πŸ₯‰27 Β· ⭐ 2.8K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 + +- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 510 Β· πŸ“₯ 5.4K Β· πŸ“¦ 45 Β· πŸ“‹ 650 - 10% open Β· ⏱️ 17.01.2024): + + ``` + git clone https://github.com/openvinotoolkit/anomalib + ``` +- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 7.7K / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2024): + ``` + pip install anomalib + ``` +
alibi-detect (πŸ₯‰27 Β· ⭐ 2K) - Algorithms for outlier, adversarial and drift detection. Apache-2 - [GitHub](https://github.com/SeldonIO/alibi-detect) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 200 Β· πŸ“¦ 410 Β· πŸ“‹ 370 - 36% open Β· ⏱️ 13.11.2023): @@ -8345,37 +8439,37 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/SeldonIO/alibi-detect ``` -- [PyPi](https://pypi.org/project/alibi-detect) (πŸ“₯ 41K / month Β· πŸ“¦ 6 Β· ⏱️ 07.07.2023): +- [PyPi](https://pypi.org/project/alibi-detect) (πŸ“₯ 35K / month Β· πŸ“¦ 6 Β· ⏱️ 07.07.2023): ``` pip install alibi-detect ```
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TabPy (πŸ₯‰27 Β· ⭐ 1.5K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT +
avalanche (πŸ₯‰27 Β· ⭐ 1.6K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT -- [GitHub](https://github.com/tableau/TabPy) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 560 Β· πŸ“¦ 150 Β· πŸ“‹ 310 - 4% open Β· ⏱️ 04.01.2024): +- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 260 Β· πŸ“₯ 4 Β· πŸ“¦ 63 Β· πŸ“‹ 760 - 11% open Β· ⏱️ 20.12.2023): ``` - git clone https://github.com/tableau/TabPy - ``` -- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 16K / month): - ``` - pip install tabpy + git clone https://github.com/ContinualAI/avalanche ``` -- [Conda](https://anaconda.org/anaconda/tabpy-client) (πŸ“₯ 4.5K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 750 / month Β· πŸ“¦ 1 Β· ⏱️ 28.07.2023): ``` - conda install -c anaconda tabpy-client + pip install avalanche-lib ```
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pycm (πŸ₯‰27 Β· ⭐ 1.4K Β· πŸ’€) - Multi-class confusion matrix library in Python. MIT +
TabPy (πŸ₯‰27 Β· ⭐ 1.5K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT -- [GitHub](https://github.com/sepandhaghighi/pycm) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 260 Β· πŸ“‹ 200 - 5% open Β· ⏱️ 07.06.2023): +- [GitHub](https://github.com/tableau/TabPy) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 570 Β· πŸ“¦ 150 Β· πŸ“‹ 310 - 4% open Β· ⏱️ 04.01.2024): ``` - git clone https://github.com/sepandhaghighi/pycm + git clone https://github.com/tableau/TabPy ``` -- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 68K / month): +- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 15K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): ``` - pip install pycm + pip install tabpy + ``` +- [Conda](https://anaconda.org/anaconda/tabpy-client) (πŸ“₯ 4.5K Β· ⏱️ 16.06.2023): + ``` + conda install -c anaconda tabpy-client ```
metric-learn (πŸ₯‰27 Β· ⭐ 1.4K) - Metric learning algorithms in Python. MIT @@ -8385,7 +8479,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/scikit-learn-contrib/metric-learn ``` -- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 13K / month Β· πŸ“¦ 13 Β· ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 14K / month Β· πŸ“¦ 13 Β· ⏱️ 09.10.2023): ``` pip install metric-learn ``` @@ -8394,18 +8488,6 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge metric-learn ```
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Trax (πŸ₯‰26 Β· ⭐ 7.9K) - Trax Deep Learning with Clear Code and Speed. Apache-2 - -- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 810 Β· πŸ“¦ 130 Β· πŸ“‹ 240 - 47% open Β· ⏱️ 15.11.2023): - - ``` - git clone https://github.com/google/trax - ``` -- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 2.8K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): - ``` - pip install trax - ``` -
AugLy (πŸ₯‰26 Β· ⭐ 4.9K) - A data augmentations library for audio, image, text, and video. MIT - [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 290 Β· πŸ“¦ 96 Β· πŸ“‹ 76 - 28% open Β· ⏱️ 08.11.2023): @@ -8413,14 +8495,14 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/facebookresearch/AugLy ``` -- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 1.5K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): +- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 1.4K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): ``` pip install augly ```
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adapter-transformers (πŸ₯‰26 Β· ⭐ 2.2K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface +
adapter-transformers (πŸ₯‰26 Β· ⭐ 2.3K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface -- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 310 Β· πŸ“¦ 13 Β· πŸ“‹ 350 - 12% open Β· ⏱️ 09.01.2024): +- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 310 Β· πŸ“¦ 14 Β· πŸ“‹ 350 - 11% open Β· ⏱️ 09.01.2024): ``` git clone https://github.com/Adapter-Hub/adapter-transformers @@ -8437,7 +8519,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/modAL-python/modAL ``` -- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 120K / month Β· πŸ“¦ 8 Β· ⏱️ 10.01.2024): +- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 150K / month Β· πŸ“¦ 11 Β· ⏱️ 17.01.2024): ``` pip install modAL ``` @@ -8449,7 +8531,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/trevorstephens/gplearn ``` -- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 5.5K / month Β· πŸ“¦ 16 Β· ⏱️ 03.05.2022): +- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 5.3K / month Β· πŸ“¦ 16 Β· ⏱️ 03.05.2022): ``` pip install gplearn ``` @@ -8458,14 +8540,38 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge gplearn ```
+
pycm (πŸ₯‰26 Β· ⭐ 1.4K Β· πŸ’€) - Multi-class confusion matrix library in Python. MIT + +- [GitHub](https://github.com/sepandhaghighi/pycm) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 270 Β· πŸ“‹ 200 - 5% open Β· ⏱️ 07.06.2023): + + ``` + git clone https://github.com/sepandhaghighi/pycm + ``` +- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 57K / month Β· πŸ“¦ 18 Β· ⏱️ 07.06.2023): + ``` + pip install pycm + ``` +
+
Trax (πŸ₯‰25 Β· ⭐ 7.9K) - Trax Deep Learning with Clear Code and Speed. Apache-2 + +- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 810 Β· πŸ“¦ 130 Β· πŸ“‹ 240 - 47% open Β· ⏱️ 15.11.2023): + + ``` + git clone https://github.com/google/trax + ``` +- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 2.8K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): + ``` + pip install trax + ``` +
dstack (πŸ₯‰25 Β· ⭐ 900) - dstack is an open-source toolkit for running GPU workloads on any.. MPL-2.0 -- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 56 Β· πŸ“¦ 13 Β· πŸ“‹ 450 - 3% open Β· ⏱️ 11.01.2024): +- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 56 Β· πŸ“¦ 13 Β· πŸ“‹ 450 - 2% open Β· ⏱️ 18.01.2024): ``` git clone https://github.com/dstackai/dstack ``` -- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 1.2K / month Β· ⏱️ 11.01.2024): +- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 1.8K / month Β· ⏱️ 16.01.2024): ``` pip install dstack ``` @@ -8477,19 +8583,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/mars-project/mars ``` -- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 14K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): +- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 11K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): ``` pip install pymars ```
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MONAILabel (πŸ₯‰24 Β· ⭐ 490) - MONAI Label is an intelligent open source image labeling and.. Apache-2 +
MONAILabel (πŸ₯‰24 Β· ⭐ 500) - MONAI Label is an intelligent open source image labeling and.. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 170 Β· πŸ“₯ 70K Β· πŸ“‹ 480 - 19% open Β· ⏱️ 04.01.2024): +- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 170 Β· πŸ“₯ 70K Β· πŸ“‹ 480 - 19% open Β· ⏱️ 11.01.2024): ``` git clone https://github.com/Project-MONAI/MONAILabel ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 200 / month Β· ⏱️ 01.10.2023): +- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 250 / month Β· ⏱️ 01.10.2023): ``` pip install monailabel-weekly ``` @@ -8501,7 +8607,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/yzhao062/SUOD ``` -- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 9.7K / month Β· πŸ“¦ 2 Β· ⏱️ 19.11.2023): +- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 9.4K / month Β· πŸ“¦ 2 Β· ⏱️ 19.11.2023): ``` pip install suod ``` @@ -8513,7 +8619,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/rasbt/biopandas ``` -- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 81K / month Β· πŸ“¦ 23 Β· ⏱️ 28.08.2023): +- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 80K / month Β· πŸ“¦ 23 Β· ⏱️ 28.08.2023): ``` pip install biopandas ``` @@ -8529,7 +8635,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/clementchadebec/benchmark_VAE ``` -- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 5.3K / month Β· ⏱️ 06.09.2023): +- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 5.8K / month Β· ⏱️ 06.09.2023): ``` pip install pythae ``` @@ -8541,7 +8647,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/astroML/astroML ``` -- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 690 / month Β· πŸ“¦ 37 Β· ⏱️ 01.03.2022): +- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 860 / month Β· πŸ“¦ 37 Β· ⏱️ 01.03.2022): ``` pip install astroML ``` @@ -8557,7 +8663,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 24 / month Β· ⏱️ 12.04.2022): +- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 55 / month Β· ⏱️ 12.04.2022): ``` pip install pykale ``` @@ -8569,31 +8675,31 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/kLabUM/rrcf ``` -- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 2.2K / month): +- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 2K / month Β· πŸ“¦ 8 Β· ⏱️ 30.04.2023): ``` pip install rrcf ```
pymdp (πŸ₯‰18 Β· ⭐ 350) - A Python implementation of active inference for Markov Decision Processes. MIT -- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 54 Β· πŸ“¦ 9 Β· πŸ“‹ 37 - 32% open Β· ⏱️ 19.08.2023): +- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 56 Β· πŸ“¦ 9 Β· πŸ“‹ 37 - 32% open Β· ⏱️ 19.08.2023): ``` git clone https://github.com/infer-actively/pymdp ``` -- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 160 / month Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 180 / month Β· ⏱️ 08.12.2022): ``` pip install inferactively-pymdp ```
NeuralCompression (πŸ₯‰16 Β· ⭐ 430) - A collection of tools for neural compression enthusiasts. MIT -- [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 41 Β· πŸ“‹ 66 - 4% open Β· ⏱️ 08.01.2024): +- [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 42 Β· πŸ“‹ 66 - 4% open Β· ⏱️ 08.01.2024): ``` git clone https://github.com/facebookresearch/NeuralCompression ``` -- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 79 / month Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 91 / month Β· ⏱️ 03.10.2023): ``` pip install neuralcompression ``` @@ -8605,18 +8711,16 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/SforAiDl/KD_Lib ``` -- [PyPi](https://pypi.org/project/KD-Lib) (πŸ“₯ 66 / month Β· ⏱️ 18.05.2022): +- [PyPi](https://pypi.org/project/KD-Lib) (πŸ“₯ 58 / month Β· ⏱️ 18.05.2022): ``` pip install KD-Lib ```
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Show 20 hidden projects... +
Show 18 hidden projects... -- cleanlab (πŸ₯ˆ30 Β· ⭐ 7.7K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 +- cleanlab (πŸ₯ˆ31 Β· ⭐ 7.7K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 - pyclustering (πŸ₯ˆ29 Β· ⭐ 1.1K Β· πŸ’€) - pyclustering is a Python, C++ data mining library. BSD-3 -- Cython BLIS (πŸ₯ˆ29 Β· ⭐ 200) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 -- causalml (πŸ₯ˆ28 Β· ⭐ 4.5K) - Uplift modeling and causal inference with machine learning.. ❗Unlicensed -- pyopencl (πŸ₯ˆ28 Β· ⭐ 1K Β· πŸ“‰) - OpenCL integration for Python, plus shiny features. ❗Unlicensed +- Cython BLIS (πŸ₯ˆ29 Β· ⭐ 210) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 - minisom (πŸ₯‰27 Β· ⭐ 1.3K) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 - metricflow (πŸ₯‰26 Β· ⭐ 1K) - MetricFlow allows you to define, build, and maintain metrics.. ❗Unlicensed - Feature Engine (πŸ₯‰24 Β· ⭐ 1.5K Β· πŸ’€) - Feature engineering package with sklearn like functionality. BSD-3 @@ -8625,11 +8729,11 @@ _Libraries for connecting to, operating, and querying databases._ - opyrator (πŸ₯‰22 Β· ⭐ 3K Β· πŸ’€) - Turns your machine learning code into microservices with web API,.. MIT - vecstack (πŸ₯‰22 Β· ⭐ 680 Β· πŸ’€) - Python package for stacking (machine learning technique). MIT - apricot (πŸ₯‰22 Β· ⭐ 480 Β· πŸ’€) - apricot implements submodular optimization for the purpose of.. MIT +- impyute (πŸ₯‰21 Β· ⭐ 340 Β· πŸ’€) - Data imputations library to preprocess datasets with missing data. MIT - StreamAlert (πŸ₯‰20 Β· ⭐ 2.8K Β· πŸ’€) - StreamAlert is a serverless, realtime data analysis.. Apache-2 -- scikit-rebate (πŸ₯‰20 Β· ⭐ 390 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT -- impyute (πŸ₯‰19 Β· ⭐ 340 Β· πŸ’€) - Data imputations library to preprocess datasets with missing data. MIT - baikal (πŸ₯‰18 Β· ⭐ 590 Β· πŸ’€) - A graph-based functional API for building complex scikit-learn.. BSD-3 -- pandas-ml (πŸ₯‰18 Β· ⭐ 310 Β· πŸ’€) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 +- scikit-rebate (πŸ₯‰16 Β· ⭐ 390 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT +- pandas-ml (πŸ₯‰16 Β· ⭐ 310 Β· πŸ’€) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 - traingenerator (πŸ₯‰13 Β· ⭐ 1.3K Β· πŸ’€) - A web app to generate template code for machine learning. MIT - nylon (πŸ₯‰12 Β· ⭐ 85 Β· πŸ’€) - An intelligent, flexible grammar of machine learning. MIT
diff --git a/history/2024-01-18_changes.md b/history/2024-01-18_changes.md new file mode 100644 index 0000000..1f16a8e --- /dev/null +++ b/history/2024-01-18_changes.md @@ -0,0 +1,30 @@ +## πŸ“ˆ Trending Up + +_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ + +- scipy (πŸ₯‡48 Β· ⭐ 12K Β· πŸ“ˆ) - Ecosystem of open-source software for mathematics, science, and.. BSD-3 +- torchvision (πŸ₯‡42 Β· ⭐ 15K Β· πŸ“ˆ) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +- glfw (πŸ₯ˆ37 Β· ⭐ 12K Β· πŸ“ˆ) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib +- UMAP (πŸ₯ˆ33 Β· ⭐ 6.7K Β· πŸ“ˆ) - Uniform Manifold Approximation and Projection. BSD-3 +- TF-Agents (πŸ₯‡33 Β· ⭐ 2.7K Β· πŸ“ˆ) - TF-Agents: A reliable, scalable and easy to use.. Apache-2 +- TensorLayer (πŸ₯ˆ28 Β· ⭐ 7.3K Β· πŸ’€) - Deep Learning and Reinforcement Learning Library for.. Apache-2 +- EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.6K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 +- TNT (πŸ₯‰26 Β· ⭐ 1.6K Β· πŸ“ˆ) - A lightweight library for PyTorch training tools and utilities. BSD-3 +- ReAgent (πŸ₯‰24 Β· ⭐ 3.5K Β· πŸ“ˆ) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 +- sklearn-evaluation (πŸ₯‰17 Β· ⭐ 360 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT + +## πŸ“‰ Trending Down + +_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ + +- Keras (πŸ₯‡45 Β· ⭐ 60K Β· πŸ“‰) - Deep Learning for humans. Apache-2 +- Tensorflow (πŸ₯ˆ35 Β· ⭐ 180K Β· πŸ“‰) - An Open Source Machine Learning Framework for Everyone. Apache-2 +- transformers (πŸ₯ˆ33 Β· ⭐ 120K Β· πŸ“‰) - Transformers: State-of-the-art Machine Learning for.. Apache-2 +- Neural Network Libraries (πŸ₯‰27 Β· ⭐ 2.7K Β· πŸ“‰) - Neural Network Libraries. Apache-2 +- CNTK (πŸ₯‰26 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning.. ❗Unlicensed +- CuPy (πŸ₯‰26 Β· ⭐ 7.5K Β· πŸ“‰) - NumPy & SciPy for GPU. MIT +- GluonNLP (πŸ₯‰26 Β· ⭐ 2.6K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 +- DeepSpeech (πŸ₯‰23 Β· ⭐ 24K Β· πŸ“‰) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +- launchpad (πŸ₯‰17 Β· ⭐ 310 Β· πŸ“‰) - Apache-2 +- scikit-rebate (πŸ₯‰16 Β· ⭐ 390 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT + diff --git a/history/2024-01-18_projects.csv b/history/2024-01-18_projects.csv new file mode 100644 index 0000000..7c3d3b9 --- /dev/null +++ b/history/2024-01-18_projects.csv @@ -0,0 +1,917 @@ +,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,docs_url,labels,github_release_downloads,monthly_downloads,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,projectrank_placing,trending,helm_id,updated_github_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,dockerhub_id,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,brew_id,apt_id,yum_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,snap_id +0,ANN Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2024-01-14 19:20:38.000000,2024-01-10 20:21:25,1536.0,3.0,661.0,111.0,308.0,54.0,132.0,4314.0,Benchmarks of approximate nearest neighbor libraries in Python.,99.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,web-scraping,True,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000,2024-01-11 18:27:24.000000,2024-01-11 18:27:24,299.0,24.0,157.0,51.0,178.0,,3.0,2101.0,Collection of web-scraping and crawling libraries.,14.0,0,True,2024-01-11 18:27:30.000,2024.01.11,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2,best-of-python - Data Extraction,ml-tooling/best-of-python,data-loading,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-01-18 13:57:58.000000,2024-01-11 18:28:13,317.0,24.0,222.0,88.0,179.0,4.0,5.0,3277.0,Collection of data-loading and -extraction libraries.,12.0,0,True,2024-01-11 18:28:22.000,2024.01.11,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +3,best-of-python - DB Clients,ml-tooling/best-of-python,db-clients,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-01-18 13:57:58.000000,2024-01-11 18:28:13,317.0,24.0,222.0,88.0,179.0,4.0,5.0,3277.0,Collection of database clients for python.,12.0,0,True,2024-01-11 18:28:22.000,2024.01.11,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +4,best-of-python - Data Containers,ml-tooling/best-of-python,data-containers,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-containers--dataframes,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-01-18 13:57:58.000000,2024-01-11 18:28:13,317.0,24.0,222.0,88.0,179.0,4.0,5.0,3277.0,"Collection of data-container, dataframe, and pandas-utility libraries.",12.0,0,True,2024-01-11 18:28:22.000,2024.01.11,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +5,best-of-python - Data Pipelines,ml-tooling/best-of-python,data-pipelines,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-pipelines--streaming,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-01-18 13:57:58.000000,2024-01-11 18:28:13,317.0,24.0,222.0,88.0,179.0,4.0,5.0,3277.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",12.0,0,True,2024-01-11 18:28:22.000,2024.01.11,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2024-01-18 14:10:32.000000,2024-01-18 12:18:45,68435.0,3148.0,20456.0,1683.0,78308.0,13154.0,26775.0,74548.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,4594.0,54,True,2023-12-15 01:59:57.000,2.1.2,48.0,torch,pytorch/pytorch,https://pytorch.org/docs/stable/index.html,['pytorch'],32325.0,15788898.0,389054.0,376962.0,https://pypi.org/project/torch,2023-12-14 21:46:00.000,12092.0,15074370.0,https://anaconda.org/pytorch/pytorch,2023-12-14 15:11:56.517,19996521.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +7,scikit-learn,scikit-learn/scikit-learn,ml-frameworks,,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000,2024-01-18 14:07:59.000000,2024-01-18 14:07:59,30845.0,290.0,24053.0,2148.0,16623.0,1631.0,8989.0,57103.0,scikit-learn: machine learning in Python.,3052.0,52,True,2023-10-25 08:23:32.000,1.3.2,45.0,scikit-learn,conda-forge/scikit-learn,,['sklearn'],933.0,43181309.0,682506.0,682506.0,https://pypi.org/project/scikit-learn,,,42591680.0,https://anaconda.org/conda-forge/scikit-learn,2023-12-20 20:44:10.007,25943238.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +8,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000,2024-01-18 14:30:06.000000,2024-01-17 21:43:27,49421.0,526.0,7373.0,590.0,17624.0,1532.0,8852.0,18747.0,matplotlib: plotting with Python.,1637.0,50,True,2023-11-18 03:45:11.000,3.7.4,119.0,matplotlib,conda-forge/matplotlib,,,,45307079.0,1126987.0,1062866.0,https://pypi.org/project/matplotlib,2023-11-18 03:45:11.000,64121.0,44806016.0,https://anaconda.org/conda-forge/matplotlib,2023-11-20 21:33:42.497,21545732.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +9,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2024-01-18 14:31:14.000000,2024-01-18 14:31:13,31434.0,410.0,4981.0,349.0,10251.0,1766.0,8169.0,12096.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1572.0,48,True,2023-11-18 21:48:38.000,1.11.4,98.0,scipy,conda-forge/scipy,,,391977.0,68535955.0,66074.0,21.0,https://pypi.org/project/scipy,2023-11-18 21:01:18.000,66053.0,67359508.0,https://anaconda.org/conda-forge/scipy,2023-11-24 10:16:45.681,44558990.0,1.0,5.0,,,,,,,,,,,,,,,,,,,,,, +10,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2024-01-18 12:47:28.000000,2024-01-18 12:47:28,17027.0,589.0,2156.0,223.0,4593.0,93.0,2917.0,11411.0,Python Imaging Library (Fork).,458.0,48,True,2024-01-02 09:38:41.000,10.2.0,95.0,Pillow,conda-forge/pillow,,,,70404056.0,1568318.0,1500720.0,https://pypi.org/project/Pillow,2023-10-15 13:01:25.000,67598.0,69556549.0,https://anaconda.org/conda-forge/pillow,2024-01-03 04:54:52.877,35595317.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +11,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2024-01-18 13:37:14.000000,2024-01-17 12:11:15,56929.0,421.0,4134.0,291.0,12875.0,4885.0,8621.0,11764.0,A computer algebra system written in pure Python.,1269.0,46,True,2023-05-10 18:09:23.000,sympy-1.12,50.0,sympy,conda-forge/sympy,,,529127.0,9306440.0,110785.0,105922.0,https://pypi.org/project/sympy,2023-05-10 18:24:09.226,4863.0,9249242.0,https://anaconda.org/conda-forge/sympy,2023-06-16 13:17:18.981,4875953.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +12,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2024-01-18 07:34:21.000000,2024-01-15 19:02:55,10224.0,360.0,18586.0,1912.0,6863.0,162.0,11369.0,60192.0,Deep Learning for humans.,1269.0,45,True,2023-12-21 19:22:48.000,3.0.2,56.0,keras,conda-forge/keras,https://keras.io,['tensorflow'],,12626020.0,21.0,21.0,https://pypi.org/project/keras,,,12547949.0,https://anaconda.org/conda-forge/keras,2023-12-23 16:24:50.607,3357059.0,1.0,-2.0,,,,,,,,,,,,,,,,,,,,,, +13,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2024-01-18 14:00:36.000000,2024-01-18 11:55:14,39581.0,1064.0,28150.0,2032.0,44758.0,201.0,,37614.0,Apache Spark Python API.,2997.0,45,True,2023-12-16 00:30:15.000,3.3.4,42.0,pyspark,conda-forge/pyspark,,['spark'],,28286740.0,1259.0,,https://pypi.org/project/pyspark,2023-12-16 00:30:15.000,1259.0,28217680.0,https://anaconda.org/conda-forge/pyspark,2023-10-04 13:44:45.676,2969618.0,1.0,,stable/spark,,,,,,,,,,,,,,,,,,,,, +14,jax,google/jax,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000,2024-01-18 07:20:53.000000,2024-01-18 03:43:49,19004.0,1023.0,2355.0,322.0,12144.0,1230.0,3626.0,26334.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",620.0,45,True,2023-12-14 07:26:26.000,jax-v0.4.23,93.0,jax,conda-forge/jaxlib,,,,4586990.0,21112.0,21112.0,https://pypi.org/project/jax,,,4563116.0,https://anaconda.org/conda-forge/jaxlib,2023-12-23 22:02:22.397,1026588.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +15,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/pytorch-lightning,https://github.com/Lightning-AI/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000,2024-01-18 14:15:52.000000,2024-01-17 11:20:12,10064.0,242.0,3045.0,245.0,9841.0,652.0,6032.0,25684.0,"Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.",922.0,45,True,2023-12-21 15:14:18.000,2.1.3,106.0,pytorch-lightning,conda-forge/pytorch-lightning,,['pytorch'],14007.0,4227677.0,28128.0,28128.0,https://pypi.org/project/pytorch-lightning,,,4203167.0,https://anaconda.org/conda-forge/pytorch-lightning,2023-12-21 18:47:20.324,1036278.0,1.0,,,Lightning-AI/pytorch-lightning,,,,,,,,,,,,,,,,,,,, +16,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2024-01-18 03:23:26.000000,2024-01-17 05:19:34,6725.0,123.0,8135.0,910.0,4936.0,345.0,4705.0,25222.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",634.0,45,True,2023-12-19 10:07:53.000,2.0.3,56.0,xgboost,conda-forge/xgboost,https://xgboost.readthedocs.io/en/latest/,,7991.0,11647154.0,78132.0,78132.0,https://pypi.org/project/xgboost,,,11539898.0,https://anaconda.org/conda-forge/xgboost,2023-12-20 14:38:41.532,4501976.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +17,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2024-01-18 14:06:16.000000,2024-01-18 13:10:46,46078.0,1791.0,5196.0,726.0,43080.0,1009.0,16641.0,21242.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1155.0,45,True,2024-01-08 06:43:49.000,2.6.0,61.0,paddlepaddle,,,['paddle'],15368.0,172996.0,4527.0,4527.0,https://pypi.org/project/paddlepaddle,,,172824.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +18,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2024-01-18 11:07:00.000000,2024-01-18 11:06:54,20360.0,84.0,4202.0,443.0,5948.0,761.0,6800.0,18495.0,"Interactive Data Visualization in the browser, from Python.",680.0,45,True,2024-01-08 19:07:44.000,3.3.3,190.0,bokeh,conda-forge/bokeh,,,,3633781.0,85743.0,81938.0,https://pypi.org/project/bokeh,2024-01-08 19:07:44.000,3805.0,3325025.0,https://anaconda.org/conda-forge/bokeh,2024-01-08 21:10:28.843,13276546.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +19,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2024-01-18 10:54:03.000000,2024-01-18 10:54:02,15247.0,132.0,2825.0,279.0,3840.0,2701.0,2731.0,9220.0,Statsmodels: statistical modeling and econometrics in Python.,422.0,45,True,2023-12-14 14:50:21.000,0.14.1,36.0,statsmodels,conda-forge/statsmodels,,,30.0,11932782.0,118057.0,112535.0,https://pypi.org/project/statsmodels,2023-12-14 14:50:21.000,5522.0,11651886.0,https://anaconda.org/conda-forge/statsmodels,2023-12-14 18:03:00.804,12078570.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +20,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2024-01-17 09:21:22.000000,2024-01-02 09:03:06,16084.0,26.0,4354.0,557.0,3932.0,93.0,5451.0,28003.0,Industrial-strength Natural Language Processing (NLP) in Python.,746.0,44,True,2023-10-16 16:11:22.000,3.7.2,226.0,spacy,conda-forge/spacy,,,,5465041.0,81362.0,78421.0,https://pypi.org/project/spacy,2023-10-16 16:09:47.000,2941.0,5387968.0,https://anaconda.org/conda-forge/spacy,2023-11-05 20:08:03.012,3314144.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +21,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2024-01-18 12:41:52.000000,2024-01-18 11:31:25,5230.0,405.0,3768.0,291.0,7269.0,1307.0,2296.0,16268.0,Open source platform for the machine learning lifecycle.,687.0,44,True,2023-12-14 15:34:34.000,2.9.2,87.0,mlflow,conda-forge/mlflow,,,,13684569.0,29412.0,28881.0,https://pypi.org/project/mlflow,2023-12-14 05:30:49.000,531.0,13644982.0,https://anaconda.org/conda-forge/mlflow,2023-12-14 16:11:35.887,1702272.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +22,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2024-01-18 08:38:08.000000,2024-01-18 08:38:08,7569.0,111.0,3095.0,274.0,3617.0,397.0,2940.0,13778.0,Network Analysis in Python.,705.0,44,True,2023-10-28 09:53:23.000,networkx-3.2.1,92.0,networkx,conda-forge/networkx,,,65.0,35412083.0,231560.0,216458.0,https://pypi.org/project/networkx,2023-10-28 08:41:36.000,15102.0,35058120.0,https://anaconda.org/conda-forge/networkx,2023-10-28 14:55:59.129,14512487.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +23,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2024-01-13 15:46:08.000000,2024-01-13 15:46:08,3226.0,35.0,1865.0,259.0,1083.0,128.0,2340.0,11586.0,Statistical data visualization in Python.,210.0,44,True,2023-12-31 22:10:18.000,0.13.1,36.0,seaborn,conda-forge/seaborn,,,375.0,12301553.0,361890.0,350362.0,https://pypi.org/project/seaborn,2023-12-31 22:10:18.000,11528.0,12116870.0,https://anaconda.org/conda-forge/seaborn,2024-01-03 20:19:50.194,7941263.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +24,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2024-01-18 13:27:32.000000,2024-01-18 05:23:13,20405.0,844.0,5037.0,463.0,25856.0,3390.0,13296.0,29502.0,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a..,965.0,43,True,2023-12-21 00:32:08.000,ray-2.9.0,96.0,ray,conda-forge/ray-tune,,,187.0,2614999.0,13715.0,13255.0,https://pypi.org/project/ray,2023-12-21 00:27:32.000,460.0,2610093.0,https://anaconda.org/conda-forge/ray-tune,2024-01-15 14:57:28.754,181479.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +25,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2024-01-18 15:10:08.000000,2024-01-17 23:12:15,6117.0,314.0,1761.0,145.0,3163.0,435.0,3081.0,25652.0,"Wrap UIs around any model, share with anyone.",242.0,43,True,2023-08-23 23:33:20.000,3.41.0,100.0,gradio,,,,,4439467.0,21126.0,21126.0,https://pypi.org/project/gradio,,,4439467.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +26,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2024-01-17 18:56:58.000000,2024-01-16 23:52:26,2635.0,72.0,3622.0,438.0,3072.0,310.0,2323.0,16232.0,Open standard for machine learning interoperability.,305.0,43,True,2023-10-31 17:04:56.000,1.15.0,31.0,onnx,conda-forge/onnx,,,19804.0,3759703.0,23548.0,22884.0,https://pypi.org/project/onnx,2023-10-26 18:30:51.000,664.0,3738390.0,https://anaconda.org/conda-forge/onnx,2023-11-07 18:53:33.533,905136.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +27,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2024-01-17 10:25:56.000000,2024-01-17 05:27:59,3412.0,50.0,3796.0,437.0,3061.0,342.0,2890.0,15802.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",295.0,43,True,2023-12-22 04:47:45.000,4.2.0,35.0,lightgbm,conda-forge/lightgbm,,,211202.0,6349945.0,29710.0,28840.0,https://pypi.org/project/lightgbm,2023-12-22 04:47:45.000,870.0,6293357.0,https://anaconda.org/conda-forge/lightgbm,2023-12-22 13:12:54.633,2159259.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +28,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2024-01-17 22:35:00.000000,2023-12-21 22:10:00,6257.0,35.0,2409.0,280.0,1587.0,1408.0,1372.0,14706.0,The interactive graphing library for Python This project now includes Plotly Express!.,252.0,43,True,2023-10-25 19:52:56.000,5.18.0,294.0,plotly,conda-forge/plotly,,,,10285562.0,237580.0,232042.0,https://pypi.org/project/plotly,2023-10-25 19:43:41.000,5531.0,10146540.0,https://anaconda.org/conda-forge/plotly,2023-10-25 22:33:48.925,5168358.0,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,7.0,21560.0,,,,,,,,,,,,,,, +29,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2024-01-18 14:39:14.000000,2024-01-18 14:39:14,8017.0,124.0,1665.0,213.0,5640.0,1031.0,4084.0,11703.0,Parallel computing with task scheduling.,592.0,43,True,2024-01-12 21:50:35.000,2024.1.0,187.0,dask,conda-forge/dask,,,,5891682.0,59470.0,56360.0,https://pypi.org/project/dask,2024-01-12 21:50:35.000,3110.0,5649972.0,https://anaconda.org/conda-forge/dask,2024-01-13 01:04:10.654,10635275.0,1.0,,stable/dask,,,,,,,,,,,,,,,,,,,,, +30,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2024-01-17 23:59:19.000000,2024-01-17 17:09:20,5742.0,53.0,1634.0,193.0,4887.0,648.0,1221.0,6454.0,TensorFlows Visualization Toolkit.,312.0,43,True,2023-11-02 20:49:50.000,2.15.1,56.0,tensorboard,conda-forge/tensorboard,,['tensorflow'],,20058057.0,213336.0,210428.0,https://pypi.org/project/tensorboard,2023-11-02 20:49:50.000,2908.0,19954022.0,https://anaconda.org/conda-forge/tensorboard,2023-11-03 15:31:12.158,4473543.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +31,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2024-01-18 12:49:30.000000,2024-01-18 10:16:59,3775.0,59.0,6855.0,398.0,5137.0,960.0,2304.0,15027.0,"Datasets, Transforms and Models specific to Computer Vision.",569.0,42,True,2023-12-15 02:04:19.000,0.16.2,40.0,torchvision,conda-forge/torchvision,,['pytorch'],36285.0,9960066.0,5005.0,21.0,https://pypi.org/project/torchvision,2023-12-14 21:49:42.000,4984.0,9931339.0,https://anaconda.org/conda-forge/torchvision,2023-12-13 18:56:48.112,961521.0,1.0,4.0,,,,,,,,,,,,,,,,,,,,,, +32,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2024-01-14 08:16:58.000000,2023-12-24 12:24:15,14508.0,42.0,2694.0,468.0,1447.0,248.0,1503.0,12709.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,452.0,42,True,,,17.0,nltk,conda-forge/nltk,,,,11792781.0,245049.0,245049.0,https://pypi.org/project/nltk,,,11765930.0,https://anaconda.org/conda-forge/nltk,2023-06-16 13:20:53.756,2389769.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +33,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2024-01-18 15:13:18.000000,2024-01-18 14:32:10,4625.0,88.0,2064.0,1693.0,4468.0,298.0,2577.0,11461.0,WebGL2 powered visualization framework.,243.0,42,True,2023-12-05 13:38:21.826,8.9.33,625.0,pydeck,conda-forge/pydeck,,['jupyter'],,2015829.0,7566.0,7022.0,https://pypi.org/project/pydeck,2023-04-15 06:29:01.705,56.0,1698301.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,470055.0,1.0,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2024-01-16 15:01:18.485,488.0,307527.0,,,,,,,,,,,,,,, +34,PyTorch Image Models,rwightman/pytorch-image-models,image,,https://github.com/huggingface/pytorch-image-models,https://github.com/huggingface/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000,2024-01-16 18:30:09.000000,2024-01-16 18:30:08,2124.0,77.0,4491.0,308.0,434.0,67.0,764.0,28432.0,"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT),..",128.0,41,True,2023-11-24 19:09:08.000,0.9.12,55.0,timm,conda-forge/timm,,['pytorch'],6072145.0,3825380.0,22076.0,21698.0,https://pypi.org/project/timm,2023-11-24 18:56:31.000,378.0,3714121.0,https://anaconda.org/conda-forge/timm,2023-11-25 15:42:55.281,118787.0,1.0,,,huggingface/pytorch-image-models,,,,,,,,,,,,,,,,,,,, +35,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2024-01-18 14:18:55.000000,2024-01-18 14:18:55,18902.0,678.0,2451.0,336.0,18597.0,674.0,9346.0,25157.0,"A cloud-native vector database, storage for next generation AI applications.",262.0,41,True,2024-01-17 12:27:12.000,2.3.5,100.0,pymilvus,,,,67200.0,569473.0,82.0,,https://pypi.org/project/pymilvus,2024-01-03 03:52:59.000,82.0,364590.0,,,,1.0,,,,,,,,,milvusdb/milvus,https://hub.docker.com/r/milvusdb/milvus,2024-01-18 13:10:49.289066,39.0,10385145.0,,,,,,,,,, +36,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2024-01-18 11:52:04.002000,2024-01-18 03:11:03,9152.0,116.0,1141.0,137.0,5338.0,521.0,4050.0,12782.0,ML Experiments Management with Git.,290.0,41,True,2024-01-18 03:13:48.000,3.40.0,506.0,dvc,conda-forge/dvc,,,45136.0,630024.0,12161.0,12068.0,https://pypi.org/project/dvc,2024-01-18 03:13:48.000,93.0,585539.0,https://anaconda.org/conda-forge/dvc,2024-01-18 11:52:04.002,1751174.0,1.0,,,,,,,,,,,,,,dvc,dvc,dvc,,,,,,, +37,Altair,altair-viz/altair,data-viz,,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2024-01-16 18:13:51.000000,2024-01-09 19:28:45,3619.0,36.0,778.0,141.0,1318.0,175.0,1742.0,8664.0,Declarative statistical visualization library for Python.,160.0,41,True,2023-11-28 06:23:39.000,5.2.0,39.0,altair,conda-forge/altair,,,96.0,14736877.0,101512.0,100863.0,https://pypi.org/project/altair,2023-11-28 05:41:35.000,649.0,14651965.0,https://anaconda.org/conda-forge/altair,2023-12-05 00:22:25.208,2122783.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +38,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2024-01-18 13:58:04.000000,2024-01-18 13:58:00,47207.0,469.0,1139.0,197.0,377.0,525.0,1661.0,7548.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1194.0,41,True,2023-09-19 20:01:10.000,1.2.2,109.0,catboost,conda-forge/catboost,,,210801.0,1561865.0,367.0,12.0,https://pypi.org/project/catboost,2023-09-19 18:13:58.000,355.0,1521290.0,https://anaconda.org/conda-forge/catboost,2023-09-19 20:23:11.996,1436502.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +39,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2024-01-17 16:25:26.000000,2024-01-16 16:57:18,13798.0,35.0,2214.0,186.0,4340.0,742.0,2038.0,5742.0,Image processing in Python.,645.0,41,False,2023-10-03 21:36:37.000,0.22.0,59.0,scikit-image,conda-forge/scikit-image,,,,12587514.0,177569.0,167121.0,https://pypi.org/project/scikit-image,2023-10-03 21:35:27.000,10448.0,12450452.0,https://anaconda.org/conda-forge/scikit-image,2023-10-11 16:58:18.971,5893705.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +40,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2024-01-18 14:35:37.000000,2024-01-18 00:43:59,2060.0,170.0,3733.0,310.0,2430.0,904.0,1495.0,30851.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",281.0,40,True,2023-12-21 00:47:46.000,0.12.6,81.0,deepspeed,,,['pytorch'],,353903.0,5552.0,5451.0,https://pypi.org/project/deepspeed,2023-12-21 00:47:46.000,101.0,353536.0,,,,1.0,,,,,,,,,deepspeed/deepspeed,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,17646.0,,,,,,,,,, +41,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2024-01-18 14:39:31.000000,2024-01-17 19:14:33,6031.0,143.0,2696.0,306.0,4035.0,710.0,3143.0,29639.0,Streamlit A faster way to build and share data apps.,217.0,40,True,2024-01-11 18:50:58.000,1.30.0,213.0,streamlit,,,,,2775068.0,1337.0,,https://pypi.org/project/streamlit,2024-01-11 18:50:51.000,1337.0,2775068.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +42,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2024-01-16 00:03:21.000000,2024-01-09 16:34:26,2585.0,35.0,3064.0,251.0,787.0,1421.0,957.0,20977.0,A game theoretic approach to explain the output of any machine learning model.,229.0,40,True,2023-12-07 12:26:48.000,0.44.0,100.0,shap,conda-forge/shap,,,,6697332.0,15772.0,15323.0,https://pypi.org/project/shap,2023-12-07 12:26:48.000,449.0,6636486.0,https://anaconda.org/conda-forge/shap,2024-01-08 16:40:58.890,2251332.0,1.0,,,shap/shap,,,,,,,,,,,,,,,,,,,, +43,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2024-01-17 09:59:20.000000,2023-11-29 14:40:08,32592.0,13.0,4494.0,351.0,6321.0,111.0,6641.0,17473.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",592.0,40,True,2023-12-05 16:10:28.000,3.5.17,368.0,rasa,,,['tensorflow'],,156914.0,3952.0,3885.0,https://pypi.org/project/rasa,2023-12-05 16:10:15.000,67.0,156914.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +44,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/piskvorky/gensim,https://github.com/piskvorky/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2024-01-01 12:37:49.000000,2023-10-01 14:51:00,4509.0,,4375.0,433.0,1685.0,376.0,1444.0,14926.0,Topic Modelling for Humans.,449.0,40,True,2023-08-24 08:48:21.000,4.3.2,93.0,gensim,conda-forge/gensim,,,4553.0,3554049.0,57932.0,54771.0,https://pypi.org/project/gensim,2023-08-24 08:48:21.000,3161.0,3518913.0,https://anaconda.org/conda-forge/gensim,2023-08-24 12:30:21.806,1193087.0,1.0,,,piskvorky/gensim,,,,,,,,,,,,,,,,,,,, +45,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2024-01-16 10:09:28.000000,2024-01-15 19:27:37,1145.0,66.0,2100.0,234.0,523.0,177.0,1050.0,11061.0,Download market data from Yahoo! Finances API.,102.0,40,True,2024-01-07 00:36:29.000,0.2.35,107.0,yfinance,ranaroussi/yfinance,,,,1199849.0,32371.0,32065.0,https://pypi.org/project/yfinance,2024-01-07 00:36:29.000,306.0,1197022.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,84813.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +46,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2024-01-17 08:43:41.000000,2024-01-16 09:58:49,9721.0,56.0,1916.0,227.0,3804.0,269.0,2957.0,7982.0,Bayesian Modeling and Probabilistic Programming in Python.,474.0,40,True,2023-12-21 11:15:57.000,5.10.3,77.0,pymc3,conda-forge/pymc3,,,1935.0,596456.0,2861.0,2611.0,https://pypi.org/project/pymc3,2022-03-15 10:10:19.000,250.0,590145.0,https://anaconda.org/conda-forge/pymc3,2023-06-16 13:23:30.938,547626.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +47,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2024-01-18 13:34:24.000000,2024-01-17 18:54:19,6055.0,172.0,594.0,55.0,3924.0,811.0,2110.0,7721.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,171.0,40,True,2024-01-09 21:46:16.000,0.16.2,267.0,wandb,conda-forge/wandb,,,,10548982.0,37392.0,36689.0,https://pypi.org/project/wandb,2024-01-09 21:20:59.000,703.0,10538427.0,https://anaconda.org/conda-forge/wandb,2024-01-10 00:10:20.527,443337.0,1.0,,,wandb/wandb,,,,,,,,,,,,,,,,,,,, +48,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2024-01-18 09:00:13.000000,2024-01-17 09:22:25,1869.0,51.0,910.0,106.0,1516.0,444.0,1179.0,4025.0,Python tools for geographic data.,216.0,40,True,2024-01-04 21:40:30.000,0.14.2,51.0,geopandas,conda-forge/geopandas,,['pandas'],2422.0,5444646.0,32164.0,30307.0,https://pypi.org/project/geopandas,2024-01-04 21:40:25.000,1857.0,5366454.0,https://anaconda.org/conda-forge/geopandas,2024-01-05 07:21:01.270,3361146.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +49,SageMaker SDK,aws/sagemaker-python-sdk,ml-experiments,,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000,2024-01-18 03:15:19.000000,2024-01-16 19:47:55,3463.0,132.0,1101.0,132.0,2803.0,271.0,1145.0,1995.0,A library for training and deploying machine learning models on Amazon SageMaker.,417.0,40,True,2024-01-09 20:03:38.000,2.203.1,561.0,sagemaker,conda-forge/sagemaker-python-sdk,,"['mxnet', 'tensorflow']",,43061735.0,3567.0,3476.0,https://pypi.org/project/sagemaker,2024-01-09 20:03:38.000,91.0,43044562.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2023-11-27 10:45:24.319,704100.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +50,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2023-10-22 22:49:37.000000,2023-01-30 18:15:21,1757.0,,8561.0,1061.0,1449.0,76.0,1716.0,33401.0,A toolkit for developing and comparing reinforcement learning algorithms.,384.0,39,True,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,1034474.0,52060.0,49362.0,https://pypi.org/project/gym,2023-07-20 15:30:49.667,2698.0,1028643.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,262409.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +51,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2024-01-18 10:37:33.000000,2024-01-05 06:10:48,2701.0,21.0,9109.0,375.0,3102.0,1355.0,6611.0,26810.0,OpenMMLab Detection Toolbox and Benchmark.,478.0,39,True,2024-01-05 06:25:30.000,3.3.0,53.0,mmdet,,,['pytorch'],,136961.0,2128.0,2094.0,https://pypi.org/project/mmdet,2024-01-05 06:25:30.000,34.0,136961.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +52,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2024-01-07 05:14:04.000000,2024-01-07 05:14:04,2733.0,13.0,7501.0,619.0,2215.0,200.0,1583.0,25094.0,The fastai deep learning library.,662.0,39,True,2023-10-15 04:04:44.000,2.7.13,147.0,fastai,,,['pytorch'],,348181.0,16292.0,15947.0,https://pypi.org/project/fastai,2023-10-15 04:04:44.000,345.0,348181.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +53,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2024-01-12 19:03:42.000000,2024-01-09 17:54:08,7097.0,39.0,2018.0,413.0,1008.0,806.0,851.0,19943.0,Data Apps & Dashboards for Python. No JavaScript Required.,143.0,39,True,2023-11-28 00:56:54.000,2.14.2,174.0,dash,conda-forge/dash,,,62.0,2077281.0,58534.0,57078.0,https://pypi.org/project/dash,2023-11-28 00:51:13.000,1456.0,2049844.0,https://anaconda.org/conda-forge/dash,2023-11-28 06:37:33.255,1179779.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +54,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2024-01-17 05:57:59.000000,2024-01-10 17:54:15,8511.0,33.0,2194.0,205.0,4156.0,18.0,1911.0,19581.0,Build multimodal AI applications with cloud-native stack.,176.0,39,True,2023-12-14 15:31:33.000,3.23.2,2454.0,jina,conda-forge/jina-core,,,,154481.0,1501.0,1484.0,https://pypi.org/project/jina,2023-12-14 15:28:30.000,17.0,124632.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,59312.0,2.0,,,,,,,,,jinaai/jina,https://hub.docker.com/r/jinaai/jina,2024-01-08 08:54:01.226227,8.0,1303366.0,,,,,,,,,, +55,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2024-01-15 16:03:26.000000,2023-12-18 06:57:31,5779.0,65.0,2054.0,204.0,1169.0,54.0,2172.0,13352.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,251.0,39,True,2023-12-18 09:34:55.000,0.13.1,32.0,flair,conda-forge/python-flair,,['pytorch'],,117401.0,3077.0,2981.0,https://pypi.org/project/flair,2023-12-18 09:34:55.000,96.0,116870.0,https://anaconda.org/conda-forge/python-flair,2024-01-05 20:59:40.138,22343.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +56,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2024-01-18 10:59:59.000000,2024-01-18 10:59:58,3870.0,352.0,2922.0,169.0,4444.0,462.0,2185.0,12658.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",283.0,39,True,2024-01-12 03:51:43.000,2.0.0,450.0,dgl,,,,,61153.0,266.0,180.0,https://pypi.org/project/dgl,2024-01-12 03:38:25.000,86.0,61153.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +57,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,,2018-02-21 06:12:56.000,2024-01-17 08:29:06.000000,2024-01-17 08:29:05,16868.0,191.0,910.0,120.0,3362.0,81.0,1481.0,9148.0,A hyperparameter optimization framework.,255.0,39,False,2023-12-11 05:05:36.000,3.5.0,62.0,optuna,conda-forge/optuna,,,,1792505.0,12323.0,11850.0,https://pypi.org/project/optuna,2023-12-11 05:05:36.000,473.0,1778391.0,https://anaconda.org/conda-forge/optuna,2023-12-11 08:40:18.727,606940.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +58,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2024-01-17 17:44:03.000000,2024-01-16 12:37:52,1776.0,30.0,2246.0,167.0,799.0,71.0,988.0,6549.0,Python Data. Leaflet.js Maps.,160.0,39,True,2023-12-04 11:12:36.000,0.15.1,30.0,folium,conda-forge/folium,,,,782036.0,33890.0,33067.0,https://pypi.org/project/folium,2023-12-04 11:12:36.000,823.0,712128.0,https://anaconda.org/conda-forge/folium,2023-12-04 11:42:27.248,2516691.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +59,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2024-01-18 14:17:07.000000,2024-01-18 14:03:20,1241.0,123.0,707.0,94.0,1173.0,97.0,1079.0,6361.0,"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.",211.0,39,True,2024-01-11 15:26:04.000,0.26.1,40.0,accelerate,conda-forge/accelerate,,['pytorch'],,6687540.0,24057.0,23539.0,https://pypi.org/project/accelerate,2024-01-11 15:25:26.000,518.0,6683957.0,https://anaconda.org/conda-forge/accelerate,2024-01-11 22:35:05.818,96757.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +60,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2024-01-18 08:08:22.000000,2024-01-16 10:28:47,5663.0,100.0,706.0,57.0,4885.0,1464.0,2300.0,1514.0,A distributed task scheduler for Dask.,322.0,39,True,2024-01-12 21:50:32.000,2024.1.0,219.0,distributed,conda-forge/distributed,,,,3108827.0,33644.0,32320.0,https://pypi.org/project/distributed,2024-01-12 21:50:32.000,1324.0,2816262.0,https://anaconda.org/conda-forge/distributed,2024-01-13 00:00:13.369,12872899.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +61,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2024-01-18 08:01:21.000000,2024-01-18 08:01:21,6126.0,16.0,7009.0,417.0,2818.0,1183.0,7302.0,35912.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",184.0,38,True,2023-10-18 12:32:48.000,2.7.1,40.0,paddleocr,,,['paddle'],,121494.0,2189.0,2152.0,https://pypi.org/project/paddleocr,2023-09-15 08:35:48.000,37.0,121494.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +62,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2024-01-18 14:21:30.000000,2024-01-18 00:48:14,963.0,63.0,3182.0,470.0,845.0,394.0,1870.0,26341.0,A library for efficient similarity search and clustering of dense vectors.,150.0,38,True,2024-01-03 03:52:59.000,2.3.5,90.0,pymilvus,conda-forge/faiss,,,,387444.0,3454.0,3372.0,https://pypi.org/project/pymilvus,2024-01-03 03:52:59.000,82.0,364590.0,https://anaconda.org/conda-forge/faiss,2023-06-16 19:19:09.201,1005604.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +63,PyTorch Geometric,pyg-team/pytorch_geometric,graph,,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000,2024-01-18 14:22:55.000000,2024-01-18 08:22:28,7325.0,286.0,3472.0,252.0,2767.0,906.0,2538.0,19385.0,Graph Neural Network Library for PyTorch.,477.0,38,True,2023-10-12 08:28:59.000,2.4.0,40.0,torch-geometric,conda-forge/pytorch_geometric,,['pytorch'],,213166.0,139.0,,https://pypi.org/project/torch-geometric,2023-10-12 08:27:10.000,139.0,212323.0,https://anaconda.org/conda-forge/pytorch_geometric,2023-11-08 13:56:02.983,35415.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +64,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2024-01-18 15:09:06.000000,2024-01-18 15:09:06,1305.0,89.0,2231.0,129.0,309.0,1015.0,851.0,12887.0,Multilingual Sentence & Image Embeddings with BERT.,133.0,38,True,2022-06-26 19:52:06.000,2.2.2,43.0,sentence-transformers,conda-forge/sentence-transformers,,['pytorch'],,2787007.0,23238.0,22573.0,https://pypi.org/project/sentence-transformers,2022-06-26 19:50:11.000,665.0,2782146.0,https://anaconda.org/conda-forge/sentence-transformers,2023-06-16 19:21:44.846,194464.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +65,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2024-01-11 01:14:47.895000,2024-01-09 02:59:09,8235.0,4.0,3310.0,477.0,682.0,45.0,2122.0,12547.0,A toolkit for making real world machine learning and data analysis applications in C++.,191.0,38,False,2023-06-03 20:05:00.841,19.24.2,36.0,dlib,conda-forge/dlib,,,25362.0,373507.0,25196.0,24398.0,https://pypi.org/project/dlib,2023-06-03 20:05:00.841,798.0,358160.0,https://anaconda.org/conda-forge/dlib,2024-01-11 01:14:47.895,649367.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +66,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2024-01-15 03:16:24.000000,2024-01-15 03:16:24,28133.0,1.0,2511.0,543.0,4118.0,685.0,2088.0,9834.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,38,True,2020-07-27 16:13:54.000,1.0.5,45.0,theano,conda-forge/theano,,,,362340.0,17502.0,14663.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,2839.0,335800.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2388677.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +67,triton,openai/triton,model-serialisation,,https://github.com/openai/triton,https://github.com/openai/triton,MIT,2014-08-30 17:07:16.000,2024-01-18 14:26:11.000000,2024-01-18 14:26:10,1617.0,217.0,1053.0,171.0,1845.0,435.0,584.0,9562.0,Development repository for the Triton language and compiler.,209.0,38,True,2024-01-10 03:11:56.000,2.2.0,192.0,triton,,,,,7433002.0,105.0,21.0,https://pypi.org/project/triton,2024-01-10 03:11:56.000,84.0,7433002.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +68,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2024-01-18 09:23:37.000000,2024-01-16 22:03:02,2633.0,51.0,912.0,128.0,1735.0,271.0,606.0,9023.0,Geometric Computer Vision Library for SpatialAI.,246.0,38,True,2023-12-27 11:10:14.000,0.7.1,38.0,kornia,conda-forge/kornia,,['pytorch'],911.0,2341548.0,8151.0,8024.0,https://pypi.org/project/kornia,2023-12-27 11:10:14.000,127.0,2338517.0,https://anaconda.org/conda-forge/kornia,2023-08-04 20:43:55.693,111665.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +69,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2024-01-14 14:08:24.000000,2024-01-14 09:05:32,5076.0,87.0,1714.0,133.0,972.0,328.0,1908.0,8105.0,"An open-source, low-code machine learning library in Python.",131.0,38,True,2023-11-12 21:46:01.000,3.2.0,95.0,pycaret,conda-forge/pycaret,,,679.0,277298.0,5015.0,4999.0,https://pypi.org/project/pycaret,2023-11-12 21:44:47.000,16.0,276262.0,https://anaconda.org/conda-forge/pycaret,2023-11-16 02:21:22.926,41855.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +70,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2024-01-18 13:32:07.000000,2024-01-17 23:39:53,4183.0,187.0,1185.0,102.0,3313.0,750.0,1332.0,7157.0,A unified framework for machine learning with time series.,318.0,38,True,2023-12-27 02:41:28.000,0.25.0,59.0,sktime,conda-forge/sktime-all-extras,,['sklearn'],84.0,665104.0,2141.0,2082.0,https://pypi.org/project/sktime,2023-12-27 02:41:28.000,59.0,634205.0,https://anaconda.org/conda-forge/sktime-all-extras,2023-12-27 11:05:10.395,926946.0,1.0,,,sktime/sktime,,,,,,,,,,,,,,,,,,,, +71,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2024-01-18 13:07:51.000000,2024-01-17 02:16:30,4116.0,229.0,553.0,83.0,2146.0,105.0,676.0,5117.0,Flax is a neural network library for JAX that is designed for flexibility.,216.0,38,True,2023-10-28 02:07:21.000,0.7.5,36.0,flax,conda-forge/flax,,['jax'],50.0,2846908.0,5708.0,5708.0,https://pypi.org/project/flax,,,2845761.0,https://anaconda.org/conda-forge/flax,2023-11-09 02:38:30.298,38974.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +72,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2024-01-18 14:22:46.000000,2024-01-18 13:02:47,6146.0,104.0,1504.0,109.0,4111.0,647.0,705.0,4091.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",302.0,38,True,2023-12-18 13:28:11.000,4.9.4,37.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,['tensorflow'],,2070654.0,16170.0,15953.0,https://pypi.org/project/tensorflow-datasets,2023-12-18 13:28:06.000,217.0,2069843.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,25973.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +73,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2024-01-17 02:57:49.000000,2024-01-04 10:02:48,2233.0,10.0,543.0,88.0,779.0,229.0,896.0,3556.0,Manipulation and analysis of geometric objects.,151.0,38,True,2023-10-12 20:37:19.000,2.0.2,121.0,shapely,conda-forge/shapely,,,2875.0,15215197.0,61444.0,60113.0,https://pypi.org/project/shapely,2023-10-12 20:37:19.000,1331.0,15000280.0,https://anaconda.org/conda-forge/shapely,2023-11-23 18:52:59.047,8807282.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +74,MNE,mne-tools/mne-python,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000,2024-01-18 00:06:56.000000,2024-01-17 15:38:17,17810.0,142.0,1298.0,84.0,7675.0,509.0,4221.0,2442.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,360.0,38,True,2024-01-16 18:38:53.000,1.6.1,77.0,mne,conda-forge/mne,,,,93528.0,3683.0,3391.0,https://pypi.org/project/mne,2024-01-16 18:38:53.000,292.0,85692.0,https://anaconda.org/conda-forge/mne,2024-01-16 19:57:33.854,344793.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +75,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2023-12-14 16:43:19.109000,2023-12-11 02:26:35,1519.0,11.0,270.0,32.0,475.0,93.0,489.0,1366.0,Python library for reading and writing image data.,109.0,38,True,2023-12-11 02:26:46.000,2.33.1,89.0,imageio,conda-forge/imageio,,,950.0,19843811.0,116493.0,113376.0,https://pypi.org/project/imageio,2023-12-11 02:26:42.000,3117.0,19701077.0,https://anaconda.org/conda-forge/imageio,2023-12-14 16:43:19.109,5994213.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +76,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2024-01-17 14:24:55.000000,2020-02-15 08:33:35,523.0,,6699.0,1292.0,165.0,662.0,223.0,31880.0,Chinese Words Segmentation Utilities.,49.0,37,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,667415.0,27807.0,26110.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,1697.0,665578.0,https://anaconda.org/conda-forge/jieba,2023-06-16 13:21:35.778,148814.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +77,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2024-01-18 13:54:30.000000,2024-01-18 12:45:59,34692.0,573.0,13005.0,945.0,24118.0,1116.0,,22715.0,Apache Flink Python API.,1816.0,37,True,2023-11-28 07:09:06.000,1.16.3,46.0,apache-flink,,,,,32015.0,45.0,21.0,https://pypi.org/project/apache-flink,2024-01-15 16:28:13.000,24.0,32015.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +78,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2023-10-25 21:28:33.000000,2023-01-26 21:28:45,11896.0,,6531.0,1074.0,11124.0,1805.0,7763.0,20671.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",983.0,37,True,2022-05-10 20:10:05.000,1.9.1,34.0,mxnet,mxnet,,['mxnet'],26533.0,390050.0,6989.0,6989.0,https://pypi.org/project/mxnet,,,389618.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,10565.0,2.0,,,apache/mxnet,,,,,,,,,,,,,,,,,,,, +79,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2024-01-16 08:10:29.000000,2023-08-21 03:59:26,1627.0,,2814.0,380.0,457.0,8.0,1813.0,14186.0,Python Echarts Plotting Library.,39.0,37,True,2023-08-21 08:24:32.000,2.0.4,72.0,pyecharts,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],,116753.0,4020.0,3768.0,https://pypi.org/project/pyecharts,2023-08-21 03:40:32.000,252.0,116753.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +80,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2024-01-18 02:27:39.000000,2024-01-18 02:26:18,1371.0,20.0,1607.0,151.0,742.0,200.0,552.0,11687.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,117.0,37,True,2024-01-08 15:03:46.000,4.6.4,55.0,pandas-profiling,conda-forge/pandas-profiling,,"['jupyter', 'pandas']",35.0,543461.0,2440.0,2244.0,https://pypi.org/project/pandas-profiling,2023-02-03 17:59:40.571,196.0,538791.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,415698.0,2.0,,,ydataai/ydata-profiling,,,,,,,,,,,,,,,,,,,, +81,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2024-01-17 22:35:52.000000,2024-01-15 19:17:18,4699.0,61.0,4760.0,389.0,674.0,615.0,1282.0,11645.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",195.0,37,False,2023-12-16 07:35:28.000,2.6.4,56.0,glfw,conda-forge/glfw,,,3565823.0,235634.0,213.0,22.0,https://pypi.org/project/glfw,2023-12-16 07:35:28.000,191.0,197004.0,https://anaconda.org/conda-forge/glfw,2023-12-14 03:10:06.213,174691.0,2.0,3.0,,,,,,,,,,,,,,,,,,,,,, +82,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2024-01-14 15:46:33.000000,2023-07-11 16:23:35,1095.0,,1447.0,255.0,657.0,383.0,1023.0,11322.0,Video editing with Python.,160.0,37,True,2020-05-07 16:29:35.000,1.0.3,85.0,moviepy,conda-forge/moviepy,,,,645795.0,34139.0,33145.0,https://pypi.org/project/moviepy,2021-12-15 14:41:26.454,994.0,642965.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,220747.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +83,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2024-01-17 07:07:22.000000,2024-01-11 16:03:13,1751.0,13.0,668.0,117.0,551.0,298.0,643.0,8035.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,83.0,37,True,2023-11-14 19:06:30.000,0.15.0,85.0,tokenizers,conda-forge/tokenizers,,,33.0,14764614.0,57195.0,56804.0,https://pypi.org/project/tokenizers,2023-11-14 19:03:50.000,391.0,14730883.0,https://anaconda.org/conda-forge/tokenizers,2023-12-12 19:20:02.639,1416731.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +84,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2024-01-18 14:16:26.000000,2024-01-18 01:55:41,20474.0,590.0,2051.0,179.0,3192.0,267.0,2046.0,7541.0,End-to-End Speech Processing Toolkit.,399.0,37,True,2023-10-25 11:52:03.000,.202310,51.0,espnet,,,,79.0,17130.0,286.0,281.0,https://pypi.org/project/espnet,2023-10-25 11:52:34.000,5.0,17129.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +85,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2024-01-18 08:41:33.000000,2024-01-17 20:39:56,12039.0,48.0,1086.0,165.0,461.0,651.0,741.0,4026.0,Probabilistic reasoning and statistical analysis in TensorFlow.,486.0,37,True,2023-11-20 23:32:05.000,0.23.0,51.0,tensorflow-probability,conda-forge/tensorflow-probability,,['tensorflow'],,1980237.0,452.0,,https://pypi.org/project/tensorflow-probability,2023-11-20 23:21:06.000,452.0,1976827.0,https://anaconda.org/conda-forge/tensorflow-probability,2024-01-09 01:12:57.968,119371.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +86,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2024-01-07 00:32:00.000000,2023-12-31 11:04:55,953.0,21.0,810.0,86.0,201.0,83.0,652.0,3936.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",48.0,37,True,2023-12-31 11:17:16.000,80,72.0,opencv-python,,,,,10649937.0,357994.0,346232.0,https://pypi.org/project/opencv-python,2023-12-31 13:34:00.000,11762.0,10649937.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +87,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2024-01-18 13:07:03.000000,2024-01-17 08:47:00,10687.0,51.0,383.0,58.0,2901.0,1059.0,2114.0,2550.0,"With Holoviews, your data visualizes itself.",140.0,37,True,2024-01-15 16:24:19.471,3.0.1,153.0,holoviews,conda-forge/holoviews,,['jupyter'],,335408.0,9384.0,9105.0,https://pypi.org/project/holoviews,2023-12-14 19:05:36.000,276.0,300558.0,https://anaconda.org/conda-forge/holoviews,2023-11-08 21:19:49.170,1475248.0,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2024-01-15 16:24:19.471,3.0,542.0,,,,,,,,,,,,,,, +88,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2024-01-17 02:02:55.000000,2024-01-17 02:02:52,3822.0,38.0,518.0,147.0,1126.0,161.0,1613.0,2077.0,Rasterio reads and writes geospatial raster datasets.,155.0,37,True,2023-10-19 14:09:18.000,1.3.9,153.0,rasterio,conda-forge/rasterio,,,853.0,2239436.0,11140.0,10076.0,https://pypi.org/project/rasterio,2023-10-19 14:04:39.000,1064.0,2162676.0,https://anaconda.org/conda-forge/rasterio,2023-12-13 04:52:52.421,2763085.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +89,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2023-12-16 22:04:09.000000,2023-09-04 11:42:16,615.0,,2883.0,301.0,243.0,345.0,585.0,20776.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",128.0,36,True,2023-09-04 11:55:27.000,1.7.1,32.0,easyocr,,,,8221102.0,463746.0,4976.0,4884.0,https://pypi.org/project/easyocr,2023-09-04 11:55:27.000,92.0,272558.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +90,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2024-01-18 14:35:04.000000,2023-11-10 11:25:48,6020.0,33.0,3218.0,239.0,1432.0,1005.0,3827.0,10093.0,Open-source simulator for autonomous driving research.,170.0,36,True,2023-11-14 22:51:02.000,0.9.15,26.0,carla,,,,,12809.0,627.0,620.0,https://pypi.org/project/carla,2023-11-14 22:51:02.000,7.0,12809.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +91,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2024-01-18 13:23:38.000000,2024-01-18 12:36:51,26083.0,1310.0,1959.0,199.0,4943.0,138.0,3309.0,9091.0,Perform data science on data that remains in someone elses server.,503.0,36,True,2023-12-07 14:07:06.000,0.8.3,239.0,syft,,,['pytorch'],1842.0,6034.0,6.0,1.0,https://pypi.org/project/syft,2024-01-07 12:37:16.000,5.0,5996.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +92,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2024-01-16 22:40:52.000000,2024-01-16 22:40:41,1161.0,68.0,1661.0,125.0,111.0,2.0,843.0,8904.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",52.0,36,True,2024-01-08 17:45:27.000,0.0.81,80.0,deepface,,,,,153269.0,2450.0,2429.0,https://pypi.org/project/deepface,2024-01-08 17:45:27.000,21.0,153269.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +93,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2024-01-18 06:31:44.000000,2024-01-18 06:31:43,915.0,31.0,1037.0,124.0,269.0,32.0,660.0,8830.0,Unsupervised text tokenizer for Neural Network-based text generation.,82.0,36,True,2023-05-02 04:26:07.683,0.1.99,34.0,sentencepiece,conda-forge/sentencepiece,,,32889.0,11379027.0,53315.0,52351.0,https://pypi.org/project/sentencepiece,2023-05-02 04:26:07.683,964.0,11361828.0,https://anaconda.org/conda-forge/sentencepiece,2023-11-02 09:17:09.257,701156.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +94,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2024-01-18 13:51:27.000000,2024-01-17 14:40:31,9607.0,26.0,1176.0,122.0,1077.0,109.0,878.0,7118.0,A PyTorch-based Speech Toolkit.,225.0,36,True,2023-11-22 02:28:28.000,0.5.16,10.0,speechbrain,,,['pytorch'],,161040.0,1419.0,1419.0,https://pypi.org/project/speechbrain,,,161040.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +95,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2024-01-18 13:58:14.000000,2024-01-18 10:01:02,2938.0,53.0,920.0,93.0,3198.0,265.0,2586.0,4992.0,AI Toolkit for Healthcare Imaging.,176.0,36,True,2023-10-12 17:37:33.000,1.3.0,77.0,monai,conda-forge/monai,,['pytorch'],,123459.0,1768.0,1719.0,https://pypi.org/project/monai,2023-10-12 17:09:21.000,49.0,122633.0,https://anaconda.org/conda-forge/monai,2023-10-12 17:35:33.024,20661.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +96,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2024-01-18 03:19:12.000000,2024-01-18 03:19:12,9959.0,453.0,1552.0,146.0,2142.0,538.0,1213.0,4856.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",233.0,36,True,2022-12-01 14:00:47.111,2.7.1,788.0,deepchem,conda-forge/deepchem,,['tensorflow'],,19073.0,317.0,305.0,https://pypi.org/project/deepchem,2023-12-28 19:05:46.000,12.0,16845.0,https://anaconda.org/conda-forge/deepchem,2023-06-16 19:18:02.015,104750.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +97,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000,2024-01-18 13:54:57.000000,2024-01-18 13:33:36,21082.0,479.0,1177.0,241.0,7888.0,948.0,1339.0,4721.0,Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations using bigdl-llm.,195.0,36,True,2023-11-13 02:02:20.000,2.4.0,813.0,bigdl,,,,192.0,4521.0,52.0,47.0,https://pypi.org/project/bigdl,2024-01-18 13:54:57.000,1.0,4519.0,,,,2.0,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,4.0,,, +98,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2024-01-12 09:38:25.000000,2024-01-12 09:25:57,2151.0,152.0,207.0,65.0,131.0,73.0,526.0,3691.0,A Grammar of Graphics for Python.,105.0,36,True,2023-11-06 11:06:44.000,0.12.4,20.0,plotnine,conda-forge/plotnine,,,,2156384.0,6911.0,6642.0,https://pypi.org/project/plotnine,2023-11-06 11:02:10.000,269.0,2148667.0,https://anaconda.org/conda-forge/plotnine,2023-11-06 12:55:06.721,331851.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +99,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2024-01-18 13:37:12.000000,2024-01-01 17:27:18,8425.0,68.0,691.0,98.0,13110.0,46.0,806.0,3568.0,State of the Art Natural Language Processing.,110.0,36,True,2024-01-01 18:58:43.000,5.2.2,136.0,spark-nlp,,,['spark'],,3768848.0,416.0,385.0,https://pypi.org/project/spark-nlp,2024-01-01 17:22:32.000,31.0,3768848.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +100,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2024-01-18 14:00:05.000000,2024-01-17 20:31:21,3876.0,65.0,1023.0,153.0,1566.0,357.0,862.0,3561.0,Fast data visualization and GUI tools for scientific / engineering applications.,267.0,36,True,2023-04-14 21:33:03.621,0.13.3,21.0,pyqtgraph,conda-forge/pyqtgraph,,,,119551.0,9601.0,8635.0,https://pypi.org/project/pyqtgraph,2023-04-14 21:33:03.621,966.0,113619.0,https://anaconda.org/conda-forge/pyqtgraph,2023-06-16 13:19:32.302,498316.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +101,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2023-12-28 22:30:36.000000,2023-12-28 22:30:36,7350.0,45.0,606.0,117.0,1155.0,323.0,1104.0,3171.0,High-performance interactive 2D/3D data visualization library.,192.0,36,True,2023-10-03 22:23:12.000,0.14.1,37.0,vispy,conda-forge/vispy,,['jupyter'],,65255.0,1520.0,1380.0,https://pypi.org/project/vispy,2023-10-03 22:13:28.000,138.0,53983.0,https://anaconda.org/conda-forge/vispy,2023-10-04 03:59:45.400,450284.0,2.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,2.0,15.0,,,,,,,,,,,,,,, +102,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2023-12-19 22:00:11.000000,2023-12-04 09:05:52,1211.0,10.0,205.0,33.0,47.0,9.0,158.0,1524.0,Simple Python interface for Graphviz.,22.0,36,True,2022-07-23 11:35:06.076,0.20.1,56.0,graphviz,anaconda/python-graphviz,,,,6617449.0,62671.0,59205.0,https://pypi.org/project/graphviz,2022-07-23 11:35:06.076,3466.0,6616923.0,https://anaconda.org/anaconda/python-graphviz,2023-12-06 23:46:08.496,42647.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +103,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2024-01-07 13:12:21.000000,2023-12-27 16:34:55,1522.0,13.0,366.0,48.0,1467.0,164.0,670.0,1485.0,Exploratory analysis of Bayesian models with Python.,152.0,36,True,2023-12-27 16:22:43.000,0.17.0,35.0,arviz,conda-forge/arviz,,,133.0,1572255.0,5790.0,5624.0,https://pypi.org/project/arviz,2023-12-27 16:22:43.000,166.0,1525387.0,https://anaconda.org/conda-forge/arviz,2023-12-28 12:43:24.180,2062126.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +104,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2024-01-16 13:52:48.000000,2024-01-16 13:52:43,1849.0,22.0,199.0,31.0,210.0,22.0,390.0,1340.0,The ctypes-based simple ImageMagick binding for Python.,104.0,36,True,2023-11-04 01:41:17.000,0.6.13,56.0,wand,conda-forge/wand,,,38478.0,844223.0,18751.0,18037.0,https://pypi.org/project/wand,2023-11-03 23:18:50.000,714.0,842916.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,36451.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +105,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2024-01-16 19:22:05.000000,2024-01-16 19:22:02,1473.0,8.0,209.0,47.0,527.0,33.0,732.0,1098.0,Fiona reads and writes geographic data files.,72.0,36,True,2023-10-12 19:29:21.000,1.9.5,108.0,fiona,conda-forge/fiona,,,,5622665.0,17393.0,17323.0,https://pypi.org/project/fiona,2023-10-12 19:16:01.000,70.0,5498902.0,https://anaconda.org/conda-forge/fiona,2024-01-01 18:20:39.698,5198080.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +106,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2024-01-18 12:52:11.000000,,,,89294.0,,,2049.0,,182108.0,An Open Source Machine Learning Framework for Everyone.,980.0,35,True,2024-01-18 12:52:11.000,2.16.0,190.0,tensorflow,conda-forge/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],,17388362.0,15442.0,,https://pypi.org/project/tensorflow,2024-01-18 12:52:11.000,15442.0,16243332.0,https://anaconda.org/conda-forge/tensorflow,2023-12-22 04:01:45.812,4459972.0,2.0,-20.0,,,,,,,,tensorflow/tensorflow,https://hub.docker.com/r/tensorflow/tensorflow,2024-01-17 13:49:01.555226,2249.0,75789954.0,,,,,,,,,, +107,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2024-01-18 14:05:21.000000,2024-01-08 22:38:14,2319.0,1.0,6053.0,417.0,1322.0,1100.0,3035.0,28487.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,421.0,35,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,['pytorch'],326.0,397989.0,2649.0,2576.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,73.0,396587.0,https://anaconda.org/conda-forge/fairseq,2023-12-03 20:00:06.516,58717.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +108,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2024-01-09 17:31:49.000000,2024-01-09 17:24:35,389.0,3.0,4645.0,849.0,265.0,543.0,611.0,25363.0,Library for fast text representation and classification.,68.0,35,True,2020-04-28 09:54:50.000,0.9.2,36.0,fasttext,conda-forge/fasttext,,,,936510.0,5689.0,5465.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000,224.0,934682.0,https://anaconda.org/conda-forge/fasttext,2023-09-26 23:15:16.887,73148.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +109,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2023-12-24 05:29:03.000000,2023-12-24 05:29:03,2283.0,2.0,4924.0,502.0,152.0,1005.0,1349.0,19965.0,State-of-the-art 2D and 3D Face Analysis Project.,58.0,35,True,2023-04-02 08:03:01.222,0.7.3,28.0,insightface,,,['mxnet'],1572614.0,695891.0,1498.0,1487.0,https://pypi.org/project/insightface,2022-12-17 02:14:00.699,11.0,521157.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +110,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2024-01-15 17:57:42.000000,2024-01-15 15:20:25,8720.0,54.0,2926.0,270.0,1219.0,165.0,656.0,17402.0,Best Practices on Recommendation Systems.,129.0,35,True,2022-07-20 05:58:55.000,1.1.1,12.0,recommenders,,,,465.0,61204.0,102.0,100.0,https://pypi.org/project/recommenders,2022-04-01 08:49:49.000,2.0,61197.0,,,,1.0,,,recommenders-team/recommenders,,,,,,,,,,,,,,,,,,,, +111,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2024-01-05 10:31:39.000000,2023-10-18 07:33:05,791.0,,4457.0,424.0,438.0,364.0,1723.0,17365.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,173.0,35,True,2023-10-10 12:57:04.000,1.1.5,16.0,fbprophet,conda-forge/prophet,,,2285.0,791399.0,149.0,21.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,128.0,757199.0,https://anaconda.org/conda-forge/prophet,2023-10-20 01:36:39.935,1127714.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +112,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2023-07-26 09:00:34.000000,2020-06-01 14:58:26,2913.0,,2395.0,232.0,336.0,294.0,223.0,13981.0,Image augmentation for machine learning experiments.,36.0,35,False,2020-02-06 06:18:40.000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,279235.0,18496.0,18070.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,426.0,276521.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,149283.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +113,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2023-11-26 17:29:04.000000,2021-06-01 10:43:00,1848.0,,4426.0,553.0,712.0,390.0,1267.0,13768.0,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.",103.0,35,False,2020-08-22 18:42:43.000,1.0.8,86.0,chatterbot,,,,,31879.0,5892.0,5539.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,353.0,31879.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +114,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2023-12-24 05:29:22.000000,2023-12-07 06:42:43,786.0,5.0,1538.0,130.0,663.0,372.0,437.0,13011.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,133.0,35,True,2023-06-10 07:46:02.827,1.3.1,53.0,albumentations,conda-forge/albumentations,,['pytorch'],,969532.0,20562.0,20219.0,https://pypi.org/project/albumentations,2023-06-10 07:46:02.827,343.0,966815.0,https://anaconda.org/conda-forge/albumentations,2023-06-12 13:29:26.010,149479.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +115,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2024-01-18 15:01:17.000000,2024-01-18 14:53:12,3027.0,324.0,1540.0,119.0,3231.0,346.0,2499.0,12377.0,"LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",226.0,35,True,2023-12-14 13:35:39.000,1.23.0,75.0,haystack,,,,23.0,2362.0,165.0,78.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,87.0,2362.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +116,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2023-06-16 16:12:37.768000,2022-11-22 00:42:46,2719.0,,2260.0,284.0,3096.0,91.0,2477.0,11634.0,"An open-source NLP research library, built on PyTorch.",267.0,35,False,2022-10-18 23:54:05.191,2.10.1,265.0,allennlp,conda-forge/allennlp,,['pytorch'],62.0,38631.0,4083.0,3893.0,https://pypi.org/project/allennlp,2022-10-18 23:54:05.191,190.0,36677.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,119201.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +117,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2024-01-09 19:58:17.000000,2024-01-09 19:58:17,3755.0,200.0,827.0,138.0,163.0,88.0,971.0,11047.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",90.0,35,True,2024-01-07 10:47:57.000,16.0.4,232.0,ocrmypdf,conda-forge/ocrmypdf,,,1852.0,61520.0,730.0,711.0,https://pypi.org/project/ocrmypdf,2024-01-07 10:47:57.000,19.0,59414.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,60761.0,2.0,,,,,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,, +118,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2024-01-17 08:31:39.000000,2023-12-09 05:39:53,576.0,12.0,2361.0,223.0,245.0,114.0,416.0,9833.0,A little word cloud generator in Python.,72.0,35,True,2023-12-09 14:04:35.000,1.9.3,20.0,wordcloud,conda-forge/wordcloud,,,,1205011.0,854.0,21.0,https://pypi.org/project/wordcloud,2023-12-09 14:04:35.000,833.0,1194246.0,https://anaconda.org/conda-forge/wordcloud,2023-12-11 13:49:34.986,452148.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +119,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2024-01-18 11:42:56.000000,2024-01-18 02:53:44,6041.0,139.0,1969.0,179.0,5693.0,91.0,1853.0,8991.0,NeMo: a toolkit for conversational AI.,270.0,35,True,2024-01-11 02:04:18.000,1.22.0,71.0,nemo-toolkit,,,['pytorch'],52421.0,37772.0,31.0,21.0,https://pypi.org/project/nemo-toolkit,2024-01-10 23:19:24.000,10.0,36764.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +120,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2023-06-16 13:22:54.304000,2023-03-11 18:17:15,563.0,,1123.0,267.0,156.0,113.0,155.0,8826.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",36.0,35,True,2021-10-22 03:18:24.000,0.17.1,59.0,textblob,conda-forge/textblob,,,113.0,498532.0,36788.0,35357.0,https://pypi.org/project/textblob,2021-10-22 03:18:24.000,1431.0,495822.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,241250.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +121,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2024-01-13 19:46:14.000000,2024-01-11 07:31:03,668.0,11.0,320.0,69.0,106.0,28.0,132.0,7570.0,"Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others).",26.0,35,True,2023-10-01 01:13:00.000,0.7.0,13.0,einops,conda-forge/einops,,,,5658338.0,24520.0,24520.0,https://pypi.org/project/einops,,,5653769.0,https://anaconda.org/conda-forge/einops,2023-10-01 10:01:09.036,178194.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +122,H2O-3,h2oai/h2o-3,distributed-ml,,https://github.com/h2oai/h2o-3,https://github.com/h2oai/h2o-3,Apache-2.0,2014-03-03 16:08:07.000,2024-01-18 09:59:36.000000,2024-01-12 05:32:58,32291.0,91.0,2011.0,385.0,6732.0,2718.0,6518.0,6608.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",250.0,35,True,,,150.0,h2o,,,,,369246.0,103.0,21.0,https://pypi.org/project/h2o,2023-12-20 19:10:56.000,82.0,369246.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +123,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2024-01-18 14:48:24.000000,2024-01-15 22:05:58,18951.0,497.0,444.0,54.0,2636.0,414.0,971.0,6297.0,"Visualize, create, and debug image and video datasets and model predictions.",105.0,35,True,2023-12-21 19:00:21.000,0.23.2,80.0,fiftyone,,,"['tensorflow', 'pytorch', 'jupyter']",,82802.0,474.0,474.0,https://pypi.org/project/fiftyone,,,82802.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +124,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2024-01-18 14:31:16.000000,2024-01-11 05:42:37,2717.0,49.0,695.0,71.0,3213.0,201.0,788.0,6115.0,Build Production-Grade AI Applications.,194.0,35,True,2023-12-28 21:36:24.000,1.1.11,123.0,bentoml,,,,2125.0,62375.0,1482.0,1470.0,https://pypi.org/project/bentoml,2024-01-18 11:55:58.000,12.0,62338.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +125,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2024-01-18 14:58:25.000000,2024-01-18 14:58:24,5784.0,3392.0,444.0,41.0,280.0,198.0,992.0,4628.0,"Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker,..",101.0,35,True,2024-01-18 02:55:54.000,1.18.0,524.0,litellm,,,others,,203799.0,818.0,762.0,https://pypi.org/project/litellm,2024-01-18 02:53:14.000,56.0,203799.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +126,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2024-01-18 00:13:27.000000,2024-01-11 12:13:07,1654.0,13.0,612.0,60.0,1796.0,152.0,1246.0,4410.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,392.0,35,True,2023-10-19 08:24:46.000,0.4.13,1508.0,pytorch-ignite,pytorch/ignite,,['pytorch'],,380316.0,2674.0,2625.0,https://pypi.org/project/pytorch-ignite,2024-01-18 00:13:27.000,49.0,377742.0,https://anaconda.org/pytorch/ignite,2023-10-19 08:25:55.130,172479.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +127,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2024-01-02 16:59:03.000000,2023-11-23 21:41:49,1136.0,6.0,661.0,90.0,269.0,32.0,252.0,4181.0,Geocoding library for Python.,133.0,35,True,2023-11-23 21:50:14.000,2.4.1,61.0,geopy,conda-forge/geopy,,,14.0,4257935.0,4066.0,,https://pypi.org/project/geopy,2023-11-23 21:49:30.000,4066.0,4228982.0,https://anaconda.org/conda-forge/geopy,2023-11-24 00:10:43.371,1244993.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +128,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2024-01-16 13:18:17.000000,2024-01-16 10:34:48,5269.0,7.0,284.0,80.0,777.0,16.0,123.0,2774.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",63.0,35,True,2023-12-14 15:50:47.000,8.2.2,231.0,thinc,conda-forge/thinc,,,,5142277.0,42298.0,41660.0,https://pypi.org/project/thinc,2024-01-16 13:18:17.000,638.0,5081084.0,https://anaconda.org/conda-forge/thinc,2023-12-29 09:50:56.118,2692533.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +129,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2024-01-18 12:25:26.000000,2024-01-18 12:25:25,4044.0,174.0,407.0,34.0,2863.0,451.0,1026.0,2151.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,153.0,35,True,2024-01-14 08:52:49.000,0.43.2,87.0,pyvista,conda-forge/pyvista,,['jupyter'],791.0,155594.0,2808.0,2554.0,https://pypi.org/project/pyvista,2024-01-14 08:52:49.000,254.0,145482.0,https://anaconda.org/conda-forge/pyvista,2024-01-14 09:37:36.376,434394.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +130,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2024-01-17 20:54:41.058000,2024-01-17 19:35:54,5004.0,160.0,493.0,22.0,1139.0,969.0,591.0,2024.0,"This is the development home of the workflow management system Snakemake. For general information, see.",313.0,35,True,2024-01-17 19:37:15.000,8.2.1,292.0,snakemake,bioconda/snakemake,,,,95813.0,2103.0,1841.0,https://pypi.org/project/snakemake,2024-01-17 19:37:15.000,262.0,86198.0,https://anaconda.org/bioconda/snakemake,2024-01-17 20:54:41.058,951897.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +131,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2024-01-18 13:44:26.000000,2024-01-17 10:51:54,1627.0,86.0,342.0,26.0,1348.0,58.0,697.0,1788.0,"Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.",222.0,35,True,2024-01-17 16:52:43.000,1.3.0.post,42.0,metrics,conda-forge/torchmetrics,,['pytorch'],4563.0,37773.0,19631.0,19618.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,13.0,2321.0,https://anaconda.org/conda-forge/torchmetrics,2023-12-01 20:39:28.126,1200829.0,2.0,,,Lightning-AI/torchmetrics,,,,,,,,,,,,,,,,,,,, +132,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2023-12-13 04:29:28.000000,2023-12-13 04:29:27,1518.0,3.0,612.0,58.0,1880.0,87.0,895.0,1680.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,207.0,35,True,2023-11-28 01:45:31.000,0.23.0,38.0,tensorflow-addons,,,['tensorflow'],,716353.0,14093.0,13868.0,https://pypi.org/project/tensorflow-addons,2023-11-28 01:45:31.000,225.0,716353.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +133,huggingface_hub,huggingface/huggingface_hub,model-serialisation,,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000,2024-01-18 14:49:21.000000,2024-01-18 09:07:49,1262.0,126.0,351.0,57.0,1182.0,129.0,577.0,1455.0,The official Python client for the Huggingface Hub.,129.0,35,True,2024-01-05 10:58:08.000,0.20.2,94.0,huggingface_hub,conda-forge/huggingface_hub,,,,21016387.0,616.0,,https://pypi.org/project/huggingface_hub,2024-01-05 10:51:28.000,616.0,20972525.0,https://anaconda.org/conda-forge/huggingface_hub,2024-01-05 19:52:22.775,1535200.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +134,scikit-learn-intelex,intel/scikit-learn-intelex,sklearn-utils,,https://github.com/intel/scikit-learn-intelex,https://github.com/intel/scikit-learn-intelex,Apache-2.0,2018-08-07 06:45:41.000,2024-01-18 14:52:09.000000,2024-01-18 13:25:45,1533.0,69.0,166.0,30.0,1398.0,58.0,170.0,1108.0,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,77.0,35,True,2023-11-30 17:53:01.000,2024.0.1,23.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,['sklearn'],,134417.0,9340.0,9316.0,https://pypi.org/project/scikit-learn-intelex,2023-11-28 16:02:08.000,24.0,127365.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2023-12-08 20:11:03.328,232743.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +135,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2024-01-18 14:32:16.000000,2024-01-18 11:53:18,10194.0,103.0,540.0,70.0,2295.0,296.0,1697.0,1074.0,Machine learning for NeuroImaging in Python.,233.0,35,True,2023-10-01 19:30:40.000,0.10.2,45.0,nilearn,conda-forge/nilearn,,['sklearn'],150.0,44100.0,3105.0,2814.0,https://pypi.org/project/nilearn,2023-09-29 11:10:28.000,291.0,37318.0,https://anaconda.org/conda-forge/nilearn,2023-10-02 11:59:55.930,257566.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +136,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2023-12-11 19:18:48.000000,2023-11-08 03:20:43,1527.0,3.0,211.0,33.0,669.0,31.0,567.0,955.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,65.0,35,True,2023-09-21 02:07:12.000,3.6.1,61.0,pyproj,conda-forge/pyproj,,,,7188894.0,28541.0,26505.0,https://pypi.org/project/pyproj,2023-09-21 02:07:12.000,2036.0,7020087.0,https://anaconda.org/conda-forge/pyproj,2023-12-08 10:35:21.072,7089915.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +137,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2024-01-17 19:47:04.000000,2023-12-26 14:53:14,5765.0,84.0,254.0,36.0,788.0,126.0,392.0,599.0,Python package to access a cacophony of neuro-imaging file formats.,100.0,35,True,2023-12-12 14:28:42.000,5.2.0,41.0,nibabel,conda-forge/nibabel,,,,384844.0,17812.0,16618.0,https://pypi.org/project/nibabel,2023-12-11 21:37:41.000,1194.0,369198.0,https://anaconda.org/conda-forge/nibabel,2023-12-12 00:00:35.048,672785.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +138,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2024-01-18 07:02:38.000000,2023-12-27 16:23:43,4667.0,191.0,2825.0,247.0,706.0,80.0,860.0,25846.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",163.0,34,True,2023-12-12 15:11:16.000,0.22.0,98.0,tts,conda-forge/tts,,"['pytorch', 'tensorflow']",1847473.0,160871.0,,,https://pypi.org/project/tts,,,106155.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,10234.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +139,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2024-01-18 05:47:11.000000,2024-01-18 05:46:49,7544.0,288.0,2628.0,296.0,182.0,27.0,1002.0,25211.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,34,True,2024-01-13 04:08:39.000,7.3.8,615.0,netron,,,"['pytorch', 'tensorflow']",62984.0,79511.0,86.0,12.0,https://pypi.org/project/netron,2024-01-13 04:02:24.000,74.0,16527.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +140,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000,2024-01-18 14:00:19.000000,2024-01-18 12:15:37,16785.0,1592.0,2564.0,378.0,4559.0,592.0,3174.0,19638.0,Build AI using SQL.,818.0,34,False,2024-01-05 10:56:46.000,23.12.4.2,453.0,mindsdb,,,['pytorch'],,16351.0,,,https://pypi.org/project/mindsdb,2024-01-05 10:57:50.000,,16351.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +141,ivy,unifyai/ivy,ml-frameworks,,https://github.com/unifyai/ivy,https://github.com/unifyai/ivy,Apache-2.0,2021-01-19 08:37:25.000,2024-01-18 15:03:37.000000,2024-01-18 14:26:53,17498.0,658.0,5975.0,68.0,11316.0,1230.0,15527.0,13868.0,The Unified AI Framework.,1451.0,34,True,2023-06-29 19:33:01.167,0.0.0,105.0,ivy,,,,,911.0,9.0,,https://pypi.org/project/ivy,2024-01-04 08:14:48.000,9.0,911.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +142,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2024-01-15 08:14:29.000000,2024-01-05 20:03:59,1332.0,1.0,2226.0,331.0,1580.0,373.0,1855.0,13761.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",172.0,34,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,47426.0,1108.0,1072.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,36.0,47426.0,,,,2.0,,stable/horovod,,,,,,,,,,,,,,,,,,,,, +143,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2024-01-18 00:21:33.000000,2024-01-17 07:30:53,3800.0,92.0,1094.0,191.0,2790.0,270.0,749.0,10419.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",151.0,34,True,2024-01-16 21:14:25.000,0.9.2,45.0,ludwig,,,['tensorflow'],,3776.0,235.0,235.0,https://pypi.org/project/ludwig,,,3776.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +144,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2024-01-16 18:29:03.000000,2024-01-12 22:12:14,2484.0,15.0,620.0,102.0,441.0,550.0,1169.0,8626.0,An open source multi-tool for exploring and publishing data.,75.0,34,True,2023-12-22 23:22:42.000,0.64.6,141.0,datasette,conda-forge/datasette,,,59.0,37701.0,1364.0,1150.0,https://pypi.org/project/datasette,2023-12-22 23:22:42.000,214.0,36804.0,https://anaconda.org/conda-forge/datasette,2024-01-03 22:47:34.900,29582.0,1.0,,,,,,,,,,,,,,datasette,,,,,,,,, +145,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2024-01-17 03:10:46.000000,2024-01-17 02:53:46,2438.0,20.0,971.0,204.0,2262.0,241.0,826.0,8252.0,Deep universal probabilistic programming with Python and PyTorch.,148.0,34,True,2023-07-29 21:20:27.000,1.8.6,34.0,pyro-ppl,conda-forge/pyro-ppl,,['pytorch'],,252037.0,1956.0,1842.0,https://pypi.org/project/pyro-ppl,2023-07-29 21:09:56.000,114.0,248017.0,https://anaconda.org/conda-forge/pyro-ppl,2023-07-29 23:12:47.995,136691.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +146,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2024-01-14 09:07:13.000000,2023-12-06 12:55:15,486.0,32.0,2328.0,282.0,140.0,310.0,314.0,7812.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",49.0,34,True,2023-12-06 13:10:51.000,3.10.1,56.0,SpeechRecognition,conda-forge/speechrecognition,,,,588842.0,852.0,21.0,https://pypi.org/project/SpeechRecognition,2023-12-06 13:02:22.000,831.0,584552.0,https://anaconda.org/conda-forge/speechrecognition,2023-12-06 16:25:19.819,175925.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +147,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2023-12-23 11:40:18.000000,2023-12-16 05:36:44,1721.0,29.0,1295.0,148.0,207.0,188.0,144.0,7751.0,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection).,50.0,34,True,2023-11-18 08:45:46.000,1.1.2,90.0,pyod,conda-forge/pyod,,,,612885.0,3267.0,3203.0,https://pypi.org/project/pyod,2023-11-18 08:43:48.000,64.0,610861.0,https://anaconda.org/conda-forge/pyod,2023-11-18 09:26:18.014,89092.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +148,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2024-01-18 05:45:53.000000,2023-12-02 06:10:46,4212.0,107.0,900.0,144.0,463.0,80.0,762.0,6923.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",66.0,34,True,2023-12-03 06:48:53.000,1.7.0,22.0,stanza,stanfordnlp/stanza,,,,139348.0,2476.0,2382.0,https://pypi.org/project/stanza,2023-12-03 06:48:53.000,94.0,139190.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,7306.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +149,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,sklearn-utils,,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000,2023-11-28 15:45:20.000000,2023-10-23 10:43:57,848.0,2.0,1272.0,140.0,489.0,43.0,540.0,6607.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,80.0,34,True,2023-07-08 22:17:53.000,0.11.0,33.0,imbalanced-learn,conda-forge/imbalanced-learn,,['sklearn'],,8709940.0,23970.0,23614.0,https://pypi.org/project/imbalanced-learn,2023-07-08 21:51:38.887,356.0,8697884.0,https://anaconda.org/conda-forge/imbalanced-learn,2023-07-08 22:18:55.284,518415.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +150,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2024-01-18 09:01:38.000000,2024-01-18 09:01:37,2872.0,38.0,2223.0,174.0,1129.0,26.0,1403.0,6443.0,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,191.0,34,True,2023-11-02 12:54:04.000,3.4.3,48.0,OpenNMT-py,,,['pytorch'],,4784.0,259.0,249.0,https://pypi.org/project/OpenNMT-py,2023-11-02 12:54:04.000,10.0,4784.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +151,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2024-01-16 15:18:56.000000,2023-12-27 20:40:01,3261.0,6.0,946.0,137.0,638.0,57.0,1103.0,6434.0,Python library for audio and music analysis.,119.0,34,True,2023-08-16 13:52:19.000,0.10.1,41.0,librosa,conda-forge/librosa,,,,1855567.0,1521.0,,https://pypi.org/project/librosa,2023-08-16 13:52:19.000,1521.0,1838554.0,https://anaconda.org/conda-forge/librosa,2023-08-16 18:07:49.183,714547.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +152,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2024-01-15 08:01:15.000000,2024-01-15 08:01:09,2948.0,202.0,695.0,141.0,91.0,79.0,324.0,5875.0,Fit interpretable models. Explain blackbox machine learning.,40.0,34,True,2023-12-14 21:27:55.000,0.5.0,46.0,interpret,,,['jupyter'],,68407.0,636.0,606.0,https://pypi.org/project/interpret,2023-12-14 10:33:32.000,30.0,68407.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +153,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2024-01-16 09:08:50.000000,2024-01-16 09:08:29,2274.0,62.0,625.0,91.0,242.0,425.0,518.0,4985.0,"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management.",88.0,34,True,2024-01-10 16:14:12.000,1.14.1,149.0,clearml,,,,1914.0,199245.0,918.0,901.0,https://pypi.org/project/clearml,2024-01-10 16:12:37.000,17.0,198662.0,,,,2.0,,,,,,,,,allegroai/trains,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30236.0,,,,,,,,,, +154,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2024-01-05 18:58:45.309000,2024-01-05 18:46:51,1637.0,3.0,840.0,118.0,521.0,140.0,337.0,4690.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,103.0,34,True,2024-01-05 09:13:47.000,0.23.1,52.0,mlxtend,conda-forge/mlxtend,,['sklearn'],,623333.0,12144.0,11954.0,https://pypi.org/project/mlxtend,2024-01-05 09:13:47.000,190.0,616278.0,https://anaconda.org/conda-forge/mlxtend,2024-01-05 18:58:45.309,296349.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +155,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000,2024-01-17 16:21:32.000000,2024-01-15 19:06:20,12134.0,146.0,1102.0,99.0,1308.0,140.0,742.0,4259.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",133.0,34,True,2023-12-27 22:17:11.000,1.17.0,57.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,18937.0,486.0,475.0,https://pypi.org/project/adversarial-robustness-toolbox,2023-12-27 21:11:33.000,11.0,18090.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2023-12-27 22:57:10.074,35595.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +156,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2023-12-07 19:03:21.000000,2023-12-07 19:03:20,1290.0,6.0,2511.0,1981.0,531.0,386.0,1075.0,3867.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,34,True,2023-11-09 22:25:24.000,1.54.0,101.0,azureml-sdk,,,,505.0,458128.0,48.0,,https://pypi.org/project/azureml-sdk,2023-11-09 22:25:24.000,48.0,458120.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +157,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2024-01-18 13:19:46.000000,2024-01-18 07:37:48,3643.0,81.0,789.0,57.0,1400.0,330.0,1188.0,3857.0,"Serve, optimize and scale PyTorch models in production.",182.0,34,True,2023-10-13 00:21:43.000,0.9.0,22.0,torchserve,pytorch/torchserve,,['pytorch'],5485.0,54777.0,602.0,586.0,https://pypi.org/project/torchserve,2023-10-12 22:01:55.000,16.0,27462.0,https://anaconda.org/pytorch/torchserve,2023-10-12 22:01:52.717,146584.0,2.0,,,,,,,,,pytorch/torchserve,https://hub.docker.com/r/pytorch/torchserve,2023-10-12 22:44:52.307587,22.0,1220821.0,,,,,,,,,, +158,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2024-01-18 15:01:12.000000,2024-01-17 09:55:20,2793.0,194.0,278.0,25.0,2596.0,179.0,1586.0,2836.0,Argilla: the open-source feedback platform for LLMs.,75.0,34,True,2024-01-18 15:04:19.000,1.22.0,100.0,rubrix,conda-forge/rubrix,,,,1542.0,2190.0,2190.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,404.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,28471.0,2.0,,,argilla-io/argilla,,,,,,,,,,,,,,,,,,,, +159,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2024-01-18 14:00:53.000000,2024-01-12 23:23:09,2297.0,26.0,616.0,76.0,2841.0,188.0,713.0,2315.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",221.0,34,True,2023-12-15 02:05:05.000,2.1.2,30.0,torchaudio,,,['pytorch'],,2019494.0,548.0,,https://pypi.org/project/torchaudio,2023-12-14 21:50:35.000,548.0,2019494.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +160,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2024-01-18 07:48:00.000000,2024-01-18 05:45:52,2789.0,178.0,281.0,68.0,1505.0,54.0,581.0,2216.0,Adaptive Experimentation Platform.,159.0,34,True,2023-12-09 18:28:49.000,0.3.6,39.0,ax-platform,conda-forge/ax-platform,,['pytorch'],,76724.0,654.0,626.0,https://pypi.org/project/ax-platform,2023-12-09 18:28:49.000,28.0,76179.0,https://anaconda.org/conda-forge/ax-platform,2023-12-11 15:43:05.639,16904.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +161,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2024-01-18 14:47:20.000000,2024-01-18 14:47:19,3855.0,196.0,516.0,49.0,3979.0,275.0,870.0,2014.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,155.0,34,True,2024-01-08 20:32:42.000,0.34.0,53.0,pennylane,conda-forge/pennylane,,,70.0,34495.0,789.0,720.0,https://pypi.org/project/pennylane,2024-01-08 20:32:42.000,69.0,33271.0,https://anaconda.org/conda-forge/pennylane,2024-01-16 20:01:29.795,31811.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +162,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2024-01-18 15:19:20.000000,2024-01-18 15:19:20,938.0,79.0,305.0,52.0,1079.0,272.0,354.0,1893.0,Accelerate training and inference of Transformers and Diffusers with easy to use hardware optimization tools.,89.0,34,True,2023-12-15 10:54:26.000,1.16.1,55.0,optimum,conda-forge/optimum,,,,743500.0,1421.0,1361.0,https://pypi.org/project/optimum,2023-12-15 10:54:15.000,60.0,742984.0,https://anaconda.org/conda-forge/optimum,2023-12-15 13:15:30.310,10847.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +163,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2024-01-17 09:49:04.000000,2024-01-16 16:03:19,1170.0,20.0,361.0,66.0,593.0,262.0,347.0,1437.0,A Jupyter - Leaflet.js bridge.,87.0,34,True,2023-12-15 14:25:01.000,0.18.1,80.0,ipyleaflet,conda-forge/ipyleaflet,,['jupyter'],,144100.0,7057.0,6890.0,https://pypi.org/project/ipyleaflet,2023-12-15 14:25:01.000,161.0,92402.0,https://anaconda.org/conda-forge/ipyleaflet,2023-12-15 15:24:03.988,1095924.0,2.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2023-11-27 10:01:28.313,6.0,26791.0,,,,,,,,,,,,,,, +164,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2024-01-10 01:14:54.000000,2024-01-09 17:35:30,863.0,3.0,322.0,45.0,1008.0,160.0,163.0,1172.0,Making text a first-class citizen in TensorFlow.,111.0,34,True,2023-11-15 19:00:05.000,2.15.0,67.0,tensorflow-text,,,['tensorflow'],,4054569.0,6440.0,6302.0,https://pypi.org/project/tensorflow-text,2023-11-15 18:28:36.000,138.0,4054569.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +165,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2024-01-17 10:38:41.000000,,,,23775.0,,,932.0,,118749.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",623.0,33,True,2023-12-18 18:24:40.000,4.36.2,128.0,transformers,conda-forge/transformers,,"['pytorch', 'tensorflow']",,17877836.0,2762.0,,https://pypi.org/project/transformers,2023-12-18 18:24:40.000,2762.0,17842429.0,https://anaconda.org/conda-forge/transformers,2023-12-19 03:00:23.210,1487101.0,2.0,-17.0,,,,,,,,,,,,,,,,,,,,,, +166,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2024-01-13 20:33:11.000000,2022-06-10 09:12:18,238.0,,13248.0,1566.0,225.0,747.0,584.0,50829.0,The worlds simplest facial recognition api for Python and the command line.,54.0,33,False,2020-02-20 14:26:01.000,1.3.0,23.0,face_recognition,conda-forge/face_recognition,,['pytorch'],1223.0,61034.0,85.0,21.0,https://pypi.org/project/face_recognition,2020-02-20 14:26:01.000,64.0,60532.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,19502.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +167,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2024-01-18 10:14:55.000000,2024-01-18 06:08:29,2950.0,103.0,4110.0,373.0,3553.0,365.0,1161.0,36151.0,"Making large AI models cheaper, faster and more accessible.",161.0,33,True,2023-11-01 05:57:35.000,0.3.4,34.0,,,,,,,288.0,288.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +168,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2024-01-18 08:57:46.349000,2024-01-09 02:12:36,1497.0,6.0,6791.0,381.0,647.0,381.0,3039.0,27830.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",263.0,33,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,['pytorch'],,5220.0,1568.0,1562.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,6.0,,https://anaconda.org/conda-forge/detectron2,2024-01-18 08:57:46.349,219260.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +169,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2024-01-03 17:54:23.000000,2023-07-11 13:03:36,1421.0,,3721.0,761.0,1133.0,373.0,588.0,18804.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,33,True,2023-12-02 01:16:14.308,0.1.0,68.0,magenta,,,['tensorflow'],,2298.0,526.0,488.0,https://pypi.org/project/magenta,2022-08-01 18:23:00.243,38.0,2298.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +170,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2023-12-26 23:00:56.000000,2020-10-14 16:36:49,6226.0,,4627.0,1001.0,1869.0,357.0,658.0,16811.0,"Zipline, a Pythonic Algorithmic Trading Library.",160.0,33,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,2827.0,1061.0,975.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,86.0,2642.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,7419.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +171,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2023-09-25 04:57:08.085000,2023-08-20 17:38:53,890.0,,1110.0,322.0,266.0,54.0,341.0,12354.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,88.0,33,True,2023-06-14 16:39:02.504,1.17.3,47.0,annoy,conda-forge/python-annoy,,,,812988.0,3748.0,3474.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,274.0,803492.0,https://anaconda.org/conda-forge/python-annoy,2023-09-25 04:57:08.085,379856.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +172,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2024-01-02 11:17:53.000000,2024-01-02 11:17:47,862.0,3.0,1363.0,418.0,85.0,32.0,159.0,9655.0,TensorFlow-based neural network library.,58.0,33,True,2024-01-02 11:15:06.000,2.0.2,29.0,dm-sonnet,conda-forge/sonnet,,['tensorflow'],,17534.0,1261.0,1208.0,https://pypi.org/project/dm-sonnet,2024-01-02 11:15:06.000,53.0,16998.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,26818.0,3.0,,,google-deepmind/sonnet,,,,,,,,,,,,,,,,,,,, +173,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2023-12-12 17:39:59.000000,2023-12-08 19:12:48,2431.0,7.0,1542.0,290.0,429.0,281.0,636.0,9385.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,118.0,33,False,2023-08-15 18:22:07.000,0.12.1,62.0,tpot,conda-forge/tpot,,['sklearn'],,38140.0,2625.0,2563.0,https://pypi.org/project/tpot,2023-08-15 18:22:07.000,62.0,32489.0,https://anaconda.org/conda-forge/tpot,2023-08-15 22:49:07.495,243015.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +174,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2023-06-16 13:22:53.603000,2021-09-09 20:54:41,384.0,,898.0,261.0,148.0,108.0,103.0,9043.0,Fuzzy String Matching in Python.,70.0,33,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,4608435.0,24309.0,22191.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,2118.0,4602655.0,https://anaconda.org/conda-forge/fuzzywuzzy,2023-06-16 13:22:53.603,520277.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +175,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000,2024-01-06 17:09:35.000000,2023-11-17 16:27:58,10398.0,3.0,1965.0,350.0,3415.0,143.0,1132.0,8357.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,332.0,33,True,2023-07-19 17:15:55.000,9.9.0,29.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,40745.0,34.0,,https://pypi.org/project/vowpalwabbit,2023-07-19 17:15:55.000,34.0,37210.0,https://anaconda.org/conda-forge/vowpalwabbit,2023-10-08 10:19:04.401,137898.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +176,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2023-12-28 21:58:28.000000,2022-12-08 17:49:19,746.0,,967.0,136.0,220.0,320.0,270.0,8065.0,Manipulate audio with a simple and easy high level interface.,95.0,33,False,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,3184302.0,48850.0,47557.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1293.0,3183003.0,https://anaconda.org/conda-forge/pydub,2023-06-16 16:12:25.533,79271.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +177,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2024-01-18 09:15:51.000000,2024-01-18 05:21:43,829.0,43.0,703.0,275.0,1095.0,302.0,349.0,7280.0,Build and manage real-life data science projects with ease!.,78.0,33,True,2024-01-18 05:23:20.000,2.11.0,106.0,metaflow,conda-forge/metaflow,,,,102919.0,605.0,578.0,https://pypi.org/project/metaflow,2024-01-17 09:36:01.000,27.0,99141.0,https://anaconda.org/conda-forge/metaflow,2024-01-15 15:33:47.821,158695.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +178,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2024-01-18 00:40:23.000000,2023-09-29 18:36:14,1218.0,,1022.0,126.0,273.0,349.0,387.0,6979.0,Distributed Asynchronous Hyperparameter Optimization in Python.,102.0,33,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,1690891.0,13813.0,13308.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,505.0,1679252.0,https://anaconda.org/conda-forge/hyperopt,2023-06-16 16:14:11.076,744937.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +179,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2024-01-18 13:21:10.000000,2024-01-17 22:29:19,37911.0,424.0,784.0,146.0,8895.0,903.0,4949.0,6914.0,cuDF - GPU DataFrame Library.,269.0,33,True,2023-12-08 21:31:24.000,23.12.01,44.0,cudf,,,,,2165.0,60.0,50.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,10.0,2165.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +180,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2024-01-08 21:37:22.000000,2024-01-08 21:37:22,1766.0,12.0,754.0,129.0,267.0,438.0,328.0,6709.0,Uniform Manifold Approximation and Projection.,128.0,33,True,2023-11-18 03:11:17.000,0.5.5,39.0,umap-learn,conda-forge/umap-learn,,,,720043.0,549.0,1.0,https://pypi.org/project/umap-learn,2023-11-18 03:11:17.000,548.0,667007.0,https://anaconda.org/conda-forge/umap-learn,2023-11-18 18:17:04.167,2280580.0,2.0,5.0,,,,,,,,,,,,,,,,,,,,,, +181,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2023-12-05 22:52:30.000000,2023-11-16 08:43:39,1418.0,2.0,872.0,218.0,220.0,174.0,233.0,6648.0,Efficiently computes derivatives of numpy code.,56.0,33,True,2023-06-23 08:37:07.368,1.6.2,29.0,autograd,conda-forge/autograd,,,,1080125.0,7426.0,7102.0,https://pypi.org/project/autograd,2023-06-23 08:37:07.368,324.0,1059903.0,https://anaconda.org/conda-forge/autograd,2023-06-26 15:21:38.267,384236.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +182,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2023-08-28 17:18:20.000000,2022-10-17 02:18:00,30611.0,,1397.0,291.0,6588.0,12.0,2030.0,5837.0,A flexible framework of neural networks for deep learning.,322.0,33,False,2022-06-29 08:19:03.000,7.8.1.post1,111.0,chainer,conda-forge/chainer,,,,17773.0,3563.0,3159.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,404.0,17423.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,16458.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +183,PML,KevinMusgrave/pytorch-metric-learning,pytorch-utils,,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000,2023-12-16 19:25:54.000000,2023-12-16 19:23:13,1208.0,20.0,641.0,65.0,131.0,54.0,432.0,5625.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",40.0,33,True,2023-12-16 19:24:49.000,2.4.1,209.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,['pytorch'],,227459.0,1185.0,1155.0,https://pypi.org/project/pytorch-metric-learning,2023-12-16 19:14:54.000,30.0,227229.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,11068.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +184,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2024-01-10 19:50:40.000000,2024-01-10 19:50:37,601.0,12.0,680.0,107.0,183.0,14.0,339.0,5300.0,Python-tesseract is an optical character recognition (OCR) tool for python.,45.0,33,True,2023-10-15 15:39:44.000,0.3.13,27.0,pytesseract,conda-forge/pytesseract,,,,1144648.0,1211.0,,https://pypi.org/project/pytesseract,2022-08-16 19:20:38.334,1211.0,1130488.0,https://anaconda.org/conda-forge/pytesseract,2023-10-15 19:50:43.241,594731.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +185,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2024-01-08 06:54:55.000000,2024-01-08 06:47:10,1052.0,32.0,461.0,226.0,733.0,191.0,330.0,4384.0,Model interpretability and understanding for PyTorch.,104.0,33,True,2023-12-05 09:21:02.000,0.7.0,10.0,captum,conda-forge/captum,,['pytorch'],,177163.0,1784.0,1724.0,https://pypi.org/project/captum,2023-12-05 08:32:04.000,60.0,176377.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,19661.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +186,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2024-01-10 22:57:40.000000,2024-01-10 22:27:16,1122.0,33.0,581.0,116.0,834.0,279.0,1016.0,3868.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",159.0,33,True,2023-11-01 14:46:14.000,7.1,46.0,coremltools,conda-forge/coremltools,,,9019.0,151514.0,3728.0,3555.0,https://pypi.org/project/coremltools,2023-11-01 14:33:59.000,173.0,150032.0,https://anaconda.org/conda-forge/coremltools,2023-06-16 19:23:14.592,53196.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +187,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2023-12-28 17:43:43.000000,2023-12-03 03:47:34,490.0,5.0,594.0,64.0,212.0,192.0,151.0,3781.0,Header-only C++/python library for fast approximate nearest neighbors.,72.0,33,True,2023-12-03 04:16:17.000,0.8.0,11.0,hnswlib,conda-forge/hnswlib,,,,568690.0,5904.0,5840.0,https://pypi.org/project/hnswlib,2023-12-03 04:16:17.000,64.0,565347.0,https://anaconda.org/conda-forge/hnswlib,2023-09-27 14:20:16.958,123708.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +188,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2024-01-18 03:01:24.000000,2024-01-18 03:01:21,1175.0,6.0,1708.0,148.0,209.0,3.0,682.0,3416.0,A library for transfer learning by reusing parts of TensorFlow models.,106.0,33,True,2023-10-06 10:06:37.000,0.15.0,18.0,tensorflow-hub,conda-forge/tensorflow-hub,,['tensorflow'],,2583029.0,340.0,,https://pypi.org/project/tensorflow-hub,2023-10-06 09:58:50.000,340.0,2580771.0,https://anaconda.org/conda-forge/tensorflow-hub,2023-07-13 16:39:43.723,92578.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +189,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2024-01-18 11:34:31.000000,2024-01-13 00:27:14,1296.0,4.0,822.0,275.0,1439.0,310.0,512.0,3409.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",151.0,33,True,2023-12-15 02:05:45.000,0.16.2,30.0,torchtext,,,['pytorch'],,327686.0,494.0,,https://pypi.org/project/torchtext,2023-12-14 21:51:33.000,494.0,327686.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +190,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2024-01-17 22:38:13.000000,2024-01-16 20:50:00,1259.0,52.0,224.0,31.0,416.0,94.0,189.0,3326.0,Lightning fast forecasting with statistical and econometric models.,36.0,33,True,2024-01-05 22:28:42.000,1.7.1,29.0,statsforecast,conda-forge/statsforecast,,,,417798.0,690.0,664.0,https://pypi.org/project/statsforecast,2024-01-05 22:28:42.000,26.0,415211.0,https://anaconda.org/conda-forge/statsforecast,2024-01-05 23:52:06.950,56918.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +191,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2024-01-08 13:11:43.000000,2024-01-08 13:11:42,1490.0,10.0,366.0,91.0,734.0,133.0,441.0,3136.0,Quickly and accurately render even the largest data.,54.0,33,True,2023-10-26 15:10:16.000,0.16.0,42.0,datashader,conda-forge/datashader,,,,93208.0,3583.0,3453.0,https://pypi.org/project/datashader,2023-10-31 11:50:35.000,130.0,76392.0,https://anaconda.org/conda-forge/datashader,2023-10-27 12:10:53.716,739913.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +192,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2024-01-18 11:10:43.000000,2024-01-17 15:39:14,1770.0,76.0,350.0,53.0,1507.0,64.0,393.0,2875.0,Bayesian optimization in PyTorch.,108.0,33,True,2023-12-09 02:30:45.000,0.9.5,42.0,botorch,conda-forge/botorch,,['pytorch'],,119620.0,850.0,807.0,https://pypi.org/project/botorch,2023-12-09 02:30:45.000,43.0,117253.0,https://anaconda.org/conda-forge/botorch,2023-12-09 03:51:41.401,97075.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +193,scikit-optimize,scikit-optimize/scikit-optimize,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000,2024-01-15 00:09:43.000000,2021-10-12 13:32:38,1570.0,,506.0,64.0,543.0,303.0,393.0,2700.0,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,33,False,2021-10-12 15:33:19.000,0.9.0,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,512637.0,5584.0,5308.0,https://pypi.org/project/scikit-optimize,2021-10-12 14:23:01.204,276.0,503707.0,https://anaconda.org/conda-forge/scikit-optimize,2023-06-16 13:23:01.487,696597.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +194,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2023-12-26 03:38:51.000000,2023-12-21 20:29:20,2289.0,27.0,717.0,80.0,203.0,186.0,463.0,2676.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",149.0,33,True,2023-12-14 04:07:38.000,0.19.0,51.0,tf-agents,,,['tensorflow'],,26781.0,1408.0,1400.0,https://pypi.org/project/tf-agents,2023-12-14 04:07:38.000,8.0,26781.0,,,,1.0,3.0,,,,,,,,,,,,,,,,,,,,,, +195,category_encoders,scikit-learn-contrib/category_encoders,sklearn-utils,,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000,2023-12-13 13:51:09.000000,2023-12-13 13:51:08,953.0,12.0,398.0,39.0,149.0,45.0,238.0,2328.0,A library of sklearn compatible categorical variable encoders.,70.0,33,True,2023-10-29 20:29:52.000,2.6.3,32.0,category_encoders,conda-forge/category_encoders,,['sklearn'],,1367113.0,1561.0,1387.0,https://pypi.org/project/category_encoders,2023-10-29 20:29:52.000,174.0,1357893.0,https://anaconda.org/conda-forge/category_encoders,2023-10-30 01:23:52.252,248943.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +196,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2024-01-11 18:01:50.000000,2023-12-23 13:05:00,887.0,10.0,355.0,84.0,168.0,215.0,146.0,2297.0,D3 Renderings of Matplotlib Graphics.,52.0,33,True,2023-12-23 13:04:29.963,0.5.10,19.0,mpld3,conda-forge/mpld3,,,,498339.0,5857.0,5439.0,https://pypi.org/project/mpld3,2023-12-23 13:03:02.000,409.0,493209.0,https://anaconda.org/conda-forge/mpld3,2023-12-23 15:16:22.285,191980.0,2.0,,,,mpld3,https://www.npmjs.com/package/mpld3,2023-12-23 13:04:29.963,9.0,666.0,,,,,,,,,,,,,,, +197,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2024-01-15 22:33:33.000000,2024-01-15 22:33:33,2291.0,23.0,584.0,69.0,480.0,245.0,701.0,2229.0,Survival analysis in Python.,116.0,33,True,2024-01-03 22:01:02.000,0.28.0,170.0,lifelines,conda-forge/lifelines,,,,380008.0,2263.0,2133.0,https://pypi.org/project/lifelines,2024-01-03 22:01:02.000,130.0,373000.0,https://anaconda.org/conda-forge/lifelines,2023-09-13 16:31:11.545,308355.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +198,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2023-12-18 04:15:22.000000,2023-11-17 20:35:45,543.0,12.0,161.0,44.0,76.0,7.0,127.0,1946.0,a python library for doing approximate and phonetic matching of strings.,31.0,33,True,2023-11-17 20:44:09.000,1.0.3,42.0,jellyfish,conda-forge/jellyfish,,,,2355005.0,8295.0,7843.0,https://pypi.org/project/jellyfish,2023-11-17 20:44:09.000,452.0,2337039.0,https://anaconda.org/conda-forge/jellyfish,2023-11-17 23:08:09.681,772552.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +199,Pythran,serge-sans-paille/pythran,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000,2024-01-18 10:38:33.000000,2024-01-18 10:38:33,3677.0,15.0,193.0,50.0,1346.0,125.0,710.0,1944.0,Ahead of Time compiler for numeric kernels.,72.0,33,True,2024-01-07 21:21:39.000,0.15.0,59.0,pythran,conda-forge/pythran,,,,144255.0,1674.0,1652.0,https://pypi.org/project/pythran,2024-01-07 21:21:39.000,22.0,133314.0,https://anaconda.org/conda-forge/pythran,2024-01-08 06:40:29.964,437651.0,2.0,,,,,,,,,,,,,,,,,,,,,pythran,python-pythran, +200,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000,2024-01-15 21:43:34.000000,2024-01-10 10:12:45,2946.0,30.0,349.0,55.0,1114.0,326.0,922.0,1324.0,Cartopy - a cartographic python library with matplotlib support.,124.0,33,False,2023-08-05 00:57:41.000,0.22.0,29.0,cartopy,conda-forge/cartopy,,,,207845.0,4714.0,4268.0,https://pypi.org/project/cartopy,2023-08-05 00:57:41.000,446.0,131527.0,https://anaconda.org/conda-forge/cartopy,2023-10-24 18:58:07.197,3358004.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +201,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2024-01-12 20:12:23.000000,2024-01-12 20:12:22,2768.0,23.0,274.0,34.0,200.0,37.0,492.0,1198.0,Python interface for igraph.,71.0,33,False,2023-11-20 11:09:36.000,0.11.3,39.0,python-igraph,conda-forge/igraph,,,562184.0,287810.0,4176.0,3760.0,https://pypi.org/project/python-igraph,2023-11-20 11:09:36.000,416.0,269212.0,https://anaconda.org/conda-forge/igraph,2023-12-01 16:13:44.377,491425.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +202,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2023-12-21 21:50:42.816000,2023-12-21 20:10:06,1524.0,2.0,152.0,41.0,132.0,8.0,640.0,1153.0,A Python data analysis library that is optimized for humans instead of machines.,52.0,33,True,2023-12-21 20:05:21.000,1.9.1,32.0,agate,conda-forge/agate,,,,3961960.0,2805.0,2658.0,https://pypi.org/project/agate,2023-12-21 20:05:21.000,147.0,3956956.0,https://anaconda.org/conda-forge/agate,2023-12-21 21:50:42.816,160152.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +203,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2024-01-05 15:46:09.327000,2024-01-04 18:54:38,558.0,14.0,107.0,32.0,60.0,71.0,78.0,910.0,Describing statistical models in Python using symbolic formulas.,19.0,33,True,2024-01-04 18:58:03.000,0.5.6,13.0,patsy,conda-forge/patsy,,,,12652021.0,89783.0,87033.0,https://pypi.org/project/patsy,2024-01-04 18:55:57.000,2750.0,12311517.0,https://anaconda.org/conda-forge/patsy,2024-01-05 15:46:09.327,9534113.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +204,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2023-12-18 04:56:09.000000,2023-12-06 02:03:46,14787.0,4.0,506.0,50.0,2277.0,395.0,949.0,708.0,Workflows and interfaces for neuroimaging packages.,251.0,33,True,2023-04-06 12:55:55.544,1.8.6,64.0,nipype,conda-forge/nipype,,,,85342.0,4089.0,3911.0,https://pypi.org/project/nipype,2023-04-06 12:55:55.544,178.0,70937.0,https://anaconda.org/conda-forge/nipype,2023-09-22 18:28:24.915,590611.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +205,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,,2010-02-06 11:43:08.000,2024-01-17 23:37:18.000000,2024-01-16 20:47:19,13699.0,293.0,393.0,50.0,2005.0,151.0,752.0,645.0,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",152.0,33,False,2023-12-14 14:48:42.000,1.8.0,27.0,dipy,conda-forge/dipy,,,,21024.0,1092.0,980.0,https://pypi.org/project/dipy,2023-12-14 14:48:42.000,112.0,16426.0,https://anaconda.org/conda-forge/dipy,2023-06-16 13:16:19.782,423045.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +206,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2023-06-02 18:55:09.000000,2023-04-01 10:19:28,4379.0,,3307.0,468.0,671.0,589.0,672.0,14492.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,32,True,2020-06-17 16:31:34.798,1.15.7,79.0,tensor2tensor,,,['tensorflow'],,4024.0,1541.0,1451.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:31:34.798,90.0,4024.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +207,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2023-10-30 04:23:19.000000,2023-10-26 05:31:53,3012.0,1.0,1817.0,283.0,3502.0,353.0,1676.0,13510.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,32,True,2023-09-14 12:12:06.000,3.0,55.0,nni,,,,,14145.0,583.0,548.0,https://pypi.org/project/nni,2023-09-14 12:22:00.000,35.0,14145.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +208,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2023-10-18 03:42:44.000000,2023-03-28 11:49:55,2665.0,,2090.0,187.0,1005.0,580.0,711.0,12353.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",69.0,32,True,2023-09-20 10:33:08.000,2.4.0,50.0,paddlehub,,,['paddle'],664.0,7250.0,1507.0,1501.0,https://pypi.org/project/paddlehub,2023-09-20 10:33:08.000,6.0,7239.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +209,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2023-10-25 13:56:47.000000,2021-07-29 23:17:25,531.0,,1760.0,264.0,114.0,96.0,535.0,11088.0,Lime: Explaining the predictions of any machine learning classifier.,62.0,32,False,2020-04-03 22:05:03.000,0.2.0.0,39.0,lime,conda-forge/lime,,,,204818.0,5077.0,4904.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,173.0,202518.0,https://anaconda.org/conda-forge/lime,2023-06-16 13:18:57.655,195556.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +210,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2023-12-02 19:19:10.000000,2020-11-30 04:34:51,613.0,,2415.0,460.0,260.0,570.0,362.0,9604.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,32,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,['tensorflow'],,5830.0,5245.0,4756.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,489.0,5830.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +211,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2023-12-23 01:58:33.000000,2023-10-02 22:40:55,1387.0,,1406.0,303.0,889.0,129.0,758.0,9022.0,AutoML library for deep learning.,143.0,32,True,2023-01-28 18:46:30.271,1.1.0,58.0,autokeras,,,['tensorflow'],17704.0,10768.0,634.0,622.0,https://pypi.org/project/autokeras,2023-01-28 18:46:30.271,12.0,10529.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +212,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2024-01-16 11:08:12.000000,2023-12-28 06:35:09,2895.0,7.0,1588.0,87.0,1625.0,373.0,1606.0,7963.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",118.0,32,True,2023-10-18 03:54:18.000,2.9.0,19.0,paddleseg,,,['paddle'],,1593.0,1107.0,1103.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,4.0,1593.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +213,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2023-11-12 14:28:03.000000,2023-11-12 14:28:03,528.0,2.0,870.0,86.0,274.0,78.0,376.0,7750.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",82.0,32,True,2023-07-30 14:05:26.000,2.6.2,24.0,tensorboardX,conda-forge/tensorboardx,,,411.0,1841161.0,39848.0,38843.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,1005.0,1814161.0,https://anaconda.org/conda-forge/tensorboardx,2023-08-20 16:29:43.490,1133790.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +214,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2024-01-15 20:04:21.000000,2023-12-07 16:30:16,1315.0,5.0,848.0,158.0,1656.0,172.0,804.0,6936.0,An open source python library for automated feature engineering.,71.0,32,True,2023-10-26 18:22:23.000,1.28.0,103.0,featuretools,conda-forge/featuretools,,,,49544.0,1595.0,1517.0,https://pypi.org/project/featuretools,2023-10-26 18:22:23.000,78.0,45476.0,https://anaconda.org/conda-forge/featuretools,2023-10-27 14:28:34.721,174950.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +215,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2024-01-17 09:00:48.000000,2023-12-27 14:04:05,2705.0,6.0,1137.0,209.0,1045.0,20.0,614.0,6446.0,An open source library for deep learning end-to-end dialog systems and chatbots.,76.0,32,True,2023-12-27 14:49:16.000,1.5.0,62.0,deeppavlov,,,['tensorflow'],,8445.0,380.0,373.0,https://pypi.org/project/deeppavlov,2023-12-27 14:44:59.000,7.0,8445.0,,,,2.0,,,deeppavlov/DeepPavlov,,,,,,,,,,,,,,,,,,,, +216,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2023-08-06 00:30:36.000000,2023-08-06 00:30:36,2944.0,,1850.0,200.0,206.0,12.0,1343.0,6292.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,32,True,2020-04-24 19:04:45.487,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,['tensorflow'],161.0,8920.0,1488.0,1441.0,https://pypi.org/project/tensorpack,2021-01-22 19:59:12.425,47.0,8539.0,https://anaconda.org/conda-forge/tensorpack,2023-06-16 19:27:42.012,10245.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +217,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2024-01-05 03:37:50.000000,2023-07-28 00:16:45,2332.0,,1076.0,192.0,233.0,271.0,279.0,5430.0,Distributed Evolutionary Algorithms in Python.,87.0,32,False,2023-07-21 10:51:54.000,1.4.1,27.0,deap,conda-forge/deap,,,,178854.0,4704.0,4335.0,https://pypi.org/project/deap,2023-07-21 10:51:54.000,369.0,169817.0,https://anaconda.org/conda-forge/deap,2023-09-25 01:16:08.711,352480.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +218,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-12-23 06:14:58.000000,2020-07-15 13:46:58,1184.0,,1594.0,304.0,294.0,152.0,268.0,5311.0,Portfolio and risk analytics in Python.,59.0,32,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,8501.0,968.0,934.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,34.0,8321.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,12794.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +219,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2024-01-18 05:20:30.000000,2024-01-01 17:26:51,3846.0,87.0,550.0,85.0,539.0,102.0,460.0,4610.0,Online machine learning in Python.,108.0,32,True,2023-12-05 09:29:54.000,0.21.0,20.0,river,conda-forge/river,,,,21645.0,435.0,405.0,https://pypi.org/project/river,2023-12-05 00:13:21.000,30.0,20061.0,https://anaconda.org/conda-forge/river,2023-10-06 14:40:00.791,52296.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +220,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2023-11-12 21:40:25.000000,2022-01-27 13:24:16,139.0,,1006.0,154.0,113.0,150.0,79.0,4436.0,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",21.0,32,False,2021-01-15 10:53:17.000,0.5.4,29.0,imutils,conda-forge/imutils,,,,446214.0,40839.0,39989.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,850.0,442547.0,https://anaconda.org/conda-forge/imutils,2023-10-27 09:12:56.985,154033.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +221,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,Apache-2.0,2012-08-24 16:14:59.000,2023-11-22 19:57:21.457000,2023-11-21 23:43:00,614.0,5.0,152.0,76.0,66.0,17.0,120.0,3648.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",18.0,32,True,2023-11-21 23:50:46.000,6.1.3,49.0,ftfy,conda-forge/ftfy,,,,3915532.0,16958.0,16319.0,https://pypi.org/project/ftfy,2023-11-21 23:50:46.000,639.0,3907765.0,https://anaconda.org/conda-forge/ftfy,2023-11-22 19:57:21.457,279617.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +222,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2023-12-11 16:28:56.000000,2022-08-22 18:21:12,586.0,,572.0,77.0,76.0,61.0,161.0,2996.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,32,False,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,1935872.0,5074.0,4907.0,https://pypi.org/project/filterpy,2021-12-15 15:49:27.374,167.0,1932837.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,239794.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +223,Keras Tuner,keras-team/keras-tuner,hyperopt,,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000,2023-12-27 20:29:35.000000,2023-11-29 20:31:13,1079.0,15.0,382.0,64.0,487.0,201.0,268.0,2799.0,A Hyperparameter Tuning Library for Keras.,60.0,32,True,2023-11-07 19:38:18.000,1.4.6,34.0,keras-tuner,conda-forge/keras-tuner,,['tensorflow'],,138355.0,3163.0,3101.0,https://pypi.org/project/keras-tuner,2023-11-07 19:38:18.000,62.0,137407.0,https://anaconda.org/conda-forge/keras-tuner,2023-11-10 05:23:26.167,27514.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +224,tslearn,tslearn-team/tslearn,time-series-data,,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000,2024-01-10 20:38:25.000000,2023-12-22 21:54:50,1633.0,8.0,323.0,60.0,184.0,126.0,192.0,2705.0,The machine learning toolkit for time series analysis in Python.,43.0,32,True,2023-12-12 14:39:23.000,0.6.3,100.0,tslearn,conda-forge/tslearn,,['sklearn'],,273691.0,1152.0,1103.0,https://pypi.org/project/tslearn,2023-12-12 14:39:23.000,49.0,244169.0,https://anaconda.org/conda-forge/tslearn,2023-12-12 23:08:37.558,1269448.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +225,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/google-deepmind/dm-haiku,https://github.com/google-deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2024-01-18 13:45:15.000000,2024-01-18 13:45:09,965.0,13.0,221.0,39.0,521.0,71.0,171.0,2678.0,JAX-based neural network library.,79.0,32,True,2023-11-10 14:04:13.000,0.0.11,13.0,dm-haiku,conda-forge/dm-haiku,,,,140905.0,1669.0,1669.0,https://pypi.org/project/dm-haiku,,,140494.0,https://anaconda.org/conda-forge/dm-haiku,2023-11-16 14:41:40.026,14385.0,3.0,,,google-deepmind/dm-haiku,,,,,,,,,,,,,,,,,,,, +226,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2024-01-17 01:33:46.000000,2024-01-17 01:33:46,2930.0,22.0,687.0,78.0,848.0,257.0,622.0,2551.0,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",122.0,32,True,2023-10-16 21:49:45.000,0.1.24,24.0,pgmpy,,,,306.0,38757.0,862.0,830.0,https://pypi.org/project/pgmpy,2023-10-16 20:46:07.000,32.0,38750.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +227,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2023-12-18 20:05:31.000000,2023-12-18 19:57:13,1353.0,11.0,303.0,22.0,44.0,34.0,198.0,2129.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,21.0,32,True,2023-12-17 19:42:36.000,0.4.5,90.0,explainerdashboard,conda-forge/explainerdashboard,,,,61205.0,439.0,429.0,https://pypi.org/project/explainerdashboard,2023-12-17 19:42:36.000,10.0,60063.0,https://anaconda.org/conda-forge/explainerdashboard,2023-12-17 21:59:52.942,42284.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +228,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2024-01-11 14:49:21.000000,2023-12-27 10:12:23,938.0,3.0,199.0,47.0,304.0,127.0,121.0,1681.0,Evaluate: A library for easily evaluating machine learning models and datasets.,124.0,32,True,2023-10-13 15:57:18.000,0.4.1,14.0,evaluate,,,,,1736672.0,6217.0,6057.0,https://pypi.org/project/evaluate,2023-10-13 15:54:47.000,160.0,1736672.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +229,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2023-11-20 21:01:48.000000,2018-10-12 15:53:05,1251.0,,282.0,51.0,157.0,104.0,218.0,1570.0,Python Geocoder.,73.0,32,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,371213.0,9306.0,8775.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,531.0,369572.0,https://anaconda.org/conda-forge/geocoder,2023-06-16 13:21:27.128,136264.0,3.0,,,,,,,,,,,,,,,,,,,,,,,geocoder +230,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2023-10-30 17:18:47.000000,2023-10-23 16:17:56,1077.0,3.0,227.0,34.0,249.0,51.0,271.0,1475.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",22.0,32,True,2023-10-23 16:52:00.000,2.0.4,44.0,pmdarima,conda-forge/pmdarima,,,,1892368.0,7141.0,7052.0,https://pypi.org/project/pmdarima,2023-10-23 14:02:41.000,89.0,1866021.0,https://anaconda.org/conda-forge/pmdarima,2023-10-27 13:29:40.913,1027543.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +231,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2024-01-18 11:42:35.000000,2024-01-10 08:53:30,12984.0,481.0,277.0,35.0,1733.0,459.0,612.0,978.0,Python package for earth-observing satellite data processing.,149.0,32,False,2023-12-18 08:08:56.000,0.46.0,92.0,satpy,conda-forge/satpy,,,,11449.0,136.0,118.0,https://pypi.org/project/satpy,2023-12-18 08:08:56.000,18.0,7276.0,https://anaconda.org/conda-forge/satpy,2023-12-18 13:40:45.405,179462.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +232,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2024-01-18 14:19:05.000000,2024-01-17 18:43:31,11286.0,149.0,235.0,57.0,11857.0,204.0,2151.0,903.0,Cloud-native genomic dataframes and batch computing.,91.0,32,True,2024-01-12 18:15:13.000,0.2.127,147.0,hail,,,['spark'],,32653.0,137.0,120.0,https://pypi.org/project/hail,2024-01-12 18:15:13.000,17.0,32653.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +233,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2024-01-16 03:35:20.000000,2024-01-15 04:24:56,1049.0,12.0,170.0,35.0,114.0,31.0,59.0,702.0,Snowball compiler and stemming algorithms.,34.0,32,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,8549215.0,6831.0,5.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,6826.0,8463981.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,7585901.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +234,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2024-01-07 01:32:14.000000,2023-07-13 08:50:20,531.0,,2656.0,384.0,119.0,213.0,561.0,24326.0,Deezer source separation library including pretrained models.,19.0,31,True,2023-07-10 10:07:01.047,2.4.0,37.0,spleeter,conda-forge/spleeter,,['tensorflow'],2893298.0,72864.0,644.0,638.0,https://pypi.org/project/spleeter,2022-06-10 13:19:35.000,6.0,14554.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,78961.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +235,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2024-01-18 14:44:10.000000,2024-01-18 07:39:57,3419.0,757.0,2407.0,271.0,2636.0,74.0,392.0,21973.0,You like pytorch? You like micrograd? You love tinygrad!.,264.0,31,True,2024-01-09 18:16:07.000,0.8.0,5.0,,,,['pytorch'],,,39.0,39.0,,,,,,,,1.0,,,tinygrad/tinygrad,,,,,,,,,,,,,,,,,,,, +236,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-11-01 06:14:06.000000,2021-11-29 19:55:31,1571.0,,1128.0,339.0,1683.0,502.0,1294.0,11134.0,Turi Create simplifies the development of custom machine learning models.,86.0,31,False,2020-09-30 22:44:07.000,6.4.1,30.0,turicreate,,,,9601.0,29161.0,21.0,21.0,https://pypi.org/project/turicreate,,,29030.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +237,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2024-01-17 23:03:12.000000,2024-01-17 23:03:12,1506.0,45.0,605.0,79.0,620.0,87.0,210.0,7724.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",44.0,31,False,2023-09-11 17:53:22.000,2.5.0,24.0,cleanlab,conda-forge/cleanlab,,,,10850.0,239.0,231.0,https://pypi.org/project/cleanlab,2023-09-11 17:53:22.000,8.0,10260.0,https://anaconda.org/conda-forge/cleanlab,2023-09-12 22:14:32.939,19470.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +238,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2023-12-25 14:05:19.000000,2023-04-18 11:08:13,2759.0,,1267.0,215.0,711.0,186.0,828.0,7294.0,Automated Machine Learning with scikit-learn.,88.0,31,True,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,['sklearn'],51.0,14878.0,574.0,535.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,39.0,14252.0,https://anaconda.org/conda-forge/auto-sklearn,2023-06-16 19:25:30.278,20688.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +239,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2024-01-18 03:33:09.000000,2024-01-18 03:33:08,5884.0,109.0,914.0,111.0,1597.0,92.0,622.0,7091.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",93.0,31,True,2023-11-29 21:48:30.000,2.7.1,117.0,perspective-python,conda-forge/perspective,,['jupyter'],1969.0,16821.0,130.0,112.0,https://pypi.org/project/perspective-python,2023-11-29 16:47:42.000,15.0,4691.0,https://anaconda.org/conda-forge/perspective,2023-12-04 04:58:10.833,502402.0,2.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2023-11-29 16:47:08.922,3.0,119.0,,,,,,,,,,,,,,, +240,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2024-01-18 09:36:55.000000,2024-01-15 16:06:32,1126.0,38.0,754.0,61.0,889.0,255.0,1023.0,6884.0,A python library for user-friendly forecasting and anomaly detection on time series.,110.0,31,True,2023-12-10 18:17:20.000,0.27.1,39.0,u8darts,conda-forge/u8darts-all,,,,19311.0,499.0,494.0,https://pypi.org/project/u8darts,2023-12-10 18:17:20.000,5.0,18002.0,https://anaconda.org/conda-forge/u8darts-all,2023-12-10 22:13:26.243,39073.0,2.0,,,,,,,,,unit8/darts,https://hub.docker.com/r/unit8/darts,2023-12-10 17:53:59.869630,,502.0,,,,,,,,,, +241,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2024-01-17 17:18:15.000000,2024-01-16 17:05:24,982.0,66.0,885.0,137.0,667.0,125.0,305.0,6466.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,83.0,31,True,2023-12-25 07:11:09.000,0.11.1,15.0,dowhy,conda-forge/dowhy,,,33.0,32471.0,324.0,317.0,https://pypi.org/project/dowhy,2023-12-25 07:11:09.000,7.0,31984.0,https://anaconda.org/conda-forge/dowhy,2023-11-30 17:35:40.350,18517.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +242,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2024-01-08 14:33:00.000000,2024-01-08 14:32:50,1082.0,7.0,369.0,82.0,524.0,51.0,450.0,5524.0,A scikit-learn compatible neural network library that wraps PyTorch.,61.0,31,True,2023-09-04 10:10:59.000,0.15.0,15.0,skorch,conda-forge/skorch,,"['pytorch', 'sklearn']",,70850.0,1074.0,1074.0,https://pypi.org/project/skorch,,,51400.0,https://anaconda.org/conda-forge/skorch,2023-09-06 08:43:59.780,778027.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +243,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,,2014-12-17 18:16:59.000,2024-01-18 13:30:17.000000,2024-01-18 09:03:28,29358.0,482.0,1511.0,184.0,2031.0,19.0,1556.0,4653.0,"mlpack: a fast, header-only C++ machine learning library.",311.0,31,False,2023-11-27 18:45:09.000,4.3.0,46.0,mlpack,conda-forge/mlpack,,,,6103.0,,,https://pypi.org/project/mlpack,,,2239.0,https://anaconda.org/conda-forge/mlpack,2023-11-29 00:35:31.566,166192.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +244,D-Tale,man-group/dtale,data-viz,,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000,2024-01-17 22:23:08.000000,2024-01-05 20:03:54,779.0,15.0,370.0,73.0,281.0,58.0,503.0,4407.0,Visualizer for pandas data structures.,30.0,31,True,2024-01-08 14:23:02.000,3.9.0,179.0,dtale,conda-forge/dtale,,"['pandas', 'jupyter']",,95665.0,1014.0,991.0,https://pypi.org/project/dtale,2024-01-05 20:43:17.000,23.0,89701.0,https://anaconda.org/conda-forge/dtale,2024-01-05 22:01:34.870,262423.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +245,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2024-01-13 11:36:10.000000,2023-11-02 13:49:44,662.0,35.0,822.0,147.0,126.0,124.0,104.0,3905.0,Technical Analysis Library using Pandas and Numpy.,34.0,31,True,2023-11-02 13:53:35.000,0.11.0,56.0,ta,conda-forge/ta,,,,72118.0,2943.0,2893.0,https://pypi.org/project/ta,2023-11-02 13:53:35.000,50.0,71477.0,https://anaconda.org/conda-forge/ta,2023-11-02 22:03:30.766,22462.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +246,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2024-01-12 14:48:30.000000,2024-01-12 14:48:30,249.0,9.0,267.0,47.0,50.0,26.0,94.0,3724.0,A simple command-line utility for querying and monitoring GPU status.,17.0,31,True,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,762238.0,4727.0,4593.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,134.0,754990.0,https://anaconda.org/conda-forge/gpustat,2023-08-23 10:35:25.821,275436.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +247,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2024-01-18 00:32:27.000000,2024-01-17 00:53:36,1401.0,23.0,447.0,53.0,753.0,42.0,458.0,3501.0,NeuralProphet: A simple forecasting package.,51.0,31,True,2023-06-14 22:41:07.000,0.6.2,28.0,neuralprophet,,,['pytorch'],,91497.0,365.0,360.0,https://pypi.org/project/neuralprophet,2023-12-11 20:39:24.000,5.0,91497.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +248,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2023-12-01 17:10:01.000000,2023-11-08 12:40:01,3273.0,1.0,671.0,185.0,737.0,262.0,669.0,3402.0,DyNet: The Dynamic Neural Network Toolkit.,160.0,31,True,2020-10-21 13:39:07.000,2.1.2,9.0,dyNET,,,,14417.0,380389.0,252.0,252.0,https://pypi.org/project/dyNET,,,380224.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +249,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2023-11-13 09:43:52.000000,2022-05-31 03:18:45,1556.0,,426.0,93.0,122.0,72.0,348.0,3210.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,47.0,31,False,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,200559.0,1091.0,1031.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,60.0,197911.0,https://anaconda.org/conda-forge/nmslib,2023-09-26 10:22:21.295,103286.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +250,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2023-12-13 21:21:22.000000,2023-10-24 18:29:08,333.0,5.0,324.0,67.0,75.0,9.0,120.0,2934.0,A Python Perceptual Image Hashing Module.,26.0,31,True,2022-09-28 08:48:24.658,4.3.1,20.0,ImageHash,conda-forge/imagehash,,,,1056288.0,12118.0,11735.0,https://pypi.org/project/ImageHash,2022-09-28 08:48:24.658,383.0,1052201.0,https://anaconda.org/conda-forge/imagehash,2023-06-16 13:23:10.041,351526.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +251,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2024-01-16 16:16:45.000000,2024-01-16 16:16:40,1277.0,5.0,272.0,54.0,215.0,51.0,406.0,2903.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,36.0,31,True,2023-08-21 11:33:22.000,1.12.0,28.0,stumpy,conda-forge/stumpy,,,,200779.0,638.0,622.0,https://pypi.org/project/stumpy,2023-08-21 11:33:22.000,16.0,178535.0,https://anaconda.org/conda-forge/stumpy,2023-08-21 11:50:40.587,956510.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +252,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2024-01-12 19:27:20.000000,2023-04-20 03:41:53,699.0,,244.0,40.0,803.0,71.0,282.0,2719.0,PyTorch extensions for high performance and large scale training.,72.0,31,True,2022-12-11 18:09:31.906,0.4.13,35.0,fairscale,conda-forge/fairscale,,['pytorch'],,386893.0,4037.0,3971.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,66.0,380361.0,https://anaconda.org/conda-forge/fairscale,2023-11-28 00:29:10.363,169848.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +253,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2024-01-16 12:32:17.000000,2024-01-16 12:32:15,1139.0,26.0,229.0,27.0,978.0,98.0,401.0,2660.0,A python library for self-supervised learning on images.,35.0,31,True,2024-01-09 15:13:30.000,1.4.25,112.0,lightly,,,['pytorch'],,22936.0,206.0,200.0,https://pypi.org/project/lightly,2024-01-09 15:32:15.000,6.0,22936.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +254,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2024-01-18 15:13:24.000000,2024-01-16 14:16:25,791.0,24.0,313.0,40.0,865.0,40.0,250.0,2608.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",42.0,31,True,2023-09-09 13:24:13.000,0.7.0,13.0,python-doctr,,,"['tensorflow', 'pytorch']",2258906.0,77134.0,233.0,230.0,https://pypi.org/project/python-doctr,2023-09-09 13:24:13.000,3.0,12594.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +255,hdbscan,scikit-learn-contrib/hdbscan,others,,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000,2023-11-20 19:06:35.000000,2023-11-20 19:03:21,997.0,5.0,478.0,57.0,135.0,341.0,164.0,2604.0,A high performance implementation of HDBSCAN clustering.,86.0,31,True,2023-07-18 17:54:02.116,0.8.33,51.0,hdbscan,conda-forge/hdbscan,,['sklearn'],,462384.0,3237.0,3013.0,https://pypi.org/project/hdbscan,2023-11-20 19:06:35.000,224.0,416521.0,https://anaconda.org/conda-forge/hdbscan,2023-10-06 14:12:48.829,1788688.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +256,EvaDB,georgia-tech-db/eva,ml-frameworks,,https://github.com/georgia-tech-db/evadb,https://github.com/georgia-tech-db/evadb,Apache-2.0,2018-09-10 02:26:03.000,2024-01-15 04:11:02.000000,2023-12-03 09:09:14,2415.0,69.0,246.0,27.0,1122.0,75.0,224.0,2469.0,Database system for AI-powered apps.,73.0,31,True,2023-11-19 16:35:30.000,0.3.9,45.0,evadb,,,['pytorch'],408979.0,40558.0,141.0,141.0,https://pypi.org/project/evadb,2023-11-19 16:35:24.000,,17837.0,,,,3.0,,,georgia-tech-db/evadb,,,,,,,,,,,,,,,,,,,, +257,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2024-01-18 08:16:49.000000,2024-01-18 01:03:21,5491.0,119.0,699.0,88.0,5690.0,201.0,848.0,2045.0,TFX is an end-to-end platform for deploying production ML pipelines.,181.0,31,True,2023-09-06 22:01:30.000,1.14.0,95.0,tfx,,,['tensorflow'],,55352.0,14.0,,https://pypi.org/project/tfx,2023-09-06 22:01:30.000,14.0,55352.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +258,ArcGIS API,Esri/arcgis-python-api,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000,2024-01-09 20:25:55.000000,2023-12-13 15:05:30,4135.0,15.0,1075.0,154.0,1085.0,48.0,609.0,1708.0,Documentation and samples for ArcGIS API for Python.,89.0,31,True,2023-10-03 15:37:18.000,2.2.0,40.0,arcgis,,,,10206.0,105307.0,37.0,4.0,https://pypi.org/project/arcgis,2023-12-12 19:09:17.000,33.0,105192.0,,,,3.0,,,,,,,,,esridocker/arcgis-api-python-notebook,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,,,,,,,,,, +259,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2024-01-11 16:41:45.000000,2024-01-11 16:09:25,1799.0,46.0,366.0,52.0,122.0,41.0,421.0,1623.0,Reinforcement Learning environments based on the 1993 game Doom.,53.0,31,True,2023-12-16 01:55:15.000,1.2.3,29.0,vizdoom,,,,11781.0,1580.0,233.0,217.0,https://pypi.org/project/vizdoom,2023-12-16 01:55:15.000,16.0,1455.0,,,,1.0,,,Farama-Foundation/ViZDoom,,,,,,,,,,,,,,,,,,,, +260,TF Model Optimization,tensorflow/model-optimization,tensorflow-utils,,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000,2024-01-05 01:33:52.000000,2024-01-05 01:33:47,818.0,3.0,320.0,120.0,768.0,205.0,166.0,1446.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",83.0,31,True,2023-05-26 02:36:01.000,0.7.5,30.0,tensorflow-model-optimization,,,['tensorflow'],,572388.0,3461.0,3431.0,https://pypi.org/project/tensorflow-model-optimization,2023-05-26 02:35:42.850,30.0,572388.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +261,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2024-01-02 10:44:19.000000,2024-01-02 10:44:11,937.0,12.0,427.0,87.0,217.0,49.0,235.0,1395.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,73.0,31,True,2023-02-02 20:53:47.943,3.1.0,24.0,emcee,conda-forge/emcee,,,,114095.0,2582.0,2216.0,https://pypi.org/project/emcee,2023-02-02 20:53:47.943,366.0,110627.0,https://anaconda.org/conda-forge/emcee,2023-06-16 13:16:26.628,319135.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +262,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2024-01-18 13:06:34.000000,2024-01-17 22:00:17,3754.0,212.0,46.0,164.0,493.0,124.0,371.0,1337.0,Multiplatform plotting library based on Grammar of Graphics.,20.0,31,True,2023-12-28 14:30:03.000,4.2.0,68.0,lets-plot,,,,585.0,21552.0,58.0,56.0,https://pypi.org/project/lets-plot,2023-12-28 13:56:03.000,2.0,21541.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +263,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2024-01-05 16:10:54.000000,2024-01-05 16:06:48,1120.0,14.0,277.0,44.0,507.0,27.0,182.0,1217.0,ARCH models in Python.,35.0,31,False,2024-01-05 08:24:51.000,6.3.0,46.0,arch,conda-forge/arch-py,,,,245683.0,1427.0,1357.0,https://pypi.org/project/arch,2024-01-05 08:24:51.000,70.0,239247.0,https://anaconda.org/conda-forge/arch-py,2024-01-05 09:54:56.136,276755.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +264,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2024-01-17 22:44:14.000000,2024-01-17 22:44:13,10352.0,140.0,223.0,36.0,1418.0,206.0,339.0,1109.0,Computations and statistics on manifolds with geometric structures.,89.0,31,True,2023-08-30 05:36:10.000,2.7.0,32.0,geomstats,conda-forge/geomstats,https://geomstats.github.io/,,,3210.0,93.0,90.0,https://pypi.org/project/geomstats,2023-08-30 05:33:32.000,3.0,3100.0,https://anaconda.org/conda-forge/geomstats,2023-08-30 16:59:06.279,2094.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +265,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2024-01-12 17:42:34.000000,2024-01-12 17:42:34,922.0,6.0,214.0,59.0,98.0,44.0,173.0,979.0,Input pipeline framework.,28.0,31,True,2023-08-11 23:14:04.000,1.14.0,56.0,tensorflow-transform,,,['tensorflow'],,609239.0,1658.0,1602.0,https://pypi.org/project/tensorflow-transform,2023-08-11 23:14:04.000,56.0,609239.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +266,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2024-01-10 20:18:05.000000,2023-12-22 10:07:46,641.0,18.0,93.0,23.0,492.0,315.0,397.0,878.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",45.0,31,True,2023-12-22 11:53:13.000,0.9.1,63.0,hvplot,conda-forge/hvplot,,,,147852.0,4354.0,4251.0,https://pypi.org/project/hvplot,2023-12-22 11:53:13.000,103.0,135862.0,https://anaconda.org/conda-forge/hvplot,2023-12-22 17:00:16.835,515589.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +267,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2024-01-01 17:28:43.000000,2023-11-06 00:17:47,493.0,5.0,123.0,33.0,127.0,27.0,74.0,855.0,Python bindings and utilities for GeoJSON.,56.0,31,True,2023-11-05 21:06:50.000,3.1.0,31.0,geojson,conda-forge/geojson,,,,1268816.0,17530.0,16264.0,https://pypi.org/project/geojson,2023-11-05 21:06:50.000,1266.0,1198304.0,https://anaconda.org/conda-forge/geojson,2023-11-06 11:21:40.354,775635.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +268,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2024-01-18 08:14:04.000000,2024-01-17 19:40:34,161886.0,2236.0,85.0,52.0,2007.0,105.0,282.0,667.0,TensorFlow ROCm port.,4541.0,31,True,2022-12-06 16:42:53.965,2.9.4,100.0,tensorflow-rocm,,,['tensorflow'],21.0,4540.0,6.0,,https://pypi.org/project/tensorflow-rocm,2024-01-10 14:33:03.000,6.0,4540.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +269,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2023-12-15 12:50:52.000000,2023-12-15 12:50:52,282.0,5.0,107.0,24.0,52.0,35.0,56.0,464.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,25.0,31,True,2023-09-27 19:27:51.000,3.0.1,27.0,audioread,conda-forge/audioread,,,,1579322.0,18075.0,17710.0,https://pypi.org/project/audioread,2023-09-27 19:27:51.000,365.0,1560468.0,https://anaconda.org/conda-forge/audioread,2023-09-30 21:07:31.348,735310.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +270,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-11-03 14:30:00.000000,2023-11-03 14:30:00,4358.0,1.0,2060.0,287.0,3401.0,54.0,1494.0,10390.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,217.0,30,True,2023-06-06 20:46:16.091,1.7.2,25.0,parlai,,,['pytorch'],,2697.0,26.0,21.0,https://pypi.org/project/parlai,2022-09-20 02:56:01.305,5.0,2697.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +271,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2024-01-18 00:57:11.000000,2024-01-18 00:57:11,2883.0,30.0,2060.0,194.0,407.0,190.0,471.0,8623.0,FinRL: Financial Reinforcement Learning.,109.0,30,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,1146.0,29.0,29.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,1146.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +272,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2023-09-25 05:14:24.000000,2023-08-26 12:04:19,383.0,,2112.0,288.0,96.0,295.0,446.0,8240.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,30,True,2023-01-02 17:10:24.749,3.0.3,13.0,imageai,conda-forge/imageai,,,903192.0,18173.0,1546.0,1528.0,https://pypi.org/project/imageai,2023-01-02 17:10:24.749,18.0,4923.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,6783.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +273,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2024-01-16 11:42:55.000000,2024-01-16 11:38:26,1130.0,24.0,1194.0,146.0,156.0,225.0,1223.0,7988.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,134.0,30,False,2023-10-31 20:06:30.000,0.7.5,17.0,pytorch3d,pytorch3d/pytorch3d,,['pytorch'],,7490.0,698.0,687.0,https://pypi.org/project/pytorch3d,2022-04-28 15:53:26.000,11.0,3903.0,https://anaconda.org/pytorch3d/pytorch3d,2023-10-31 20:03:11.190,179381.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +274,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2024-01-16 23:12:52.000000,2024-01-12 17:25:39,1163.0,19.0,1251.0,102.0,623.0,673.0,517.0,7807.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,125.0,30,True,,,3.0,,conda-forge/nvidia-apex,,['pytorch'],,4640.0,2214.0,2214.0,,,,,https://anaconda.org/conda-forge/nvidia-apex,2024-01-12 02:06:46.952,180972.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +275,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2024-01-16 18:09:33.000000,2024-01-12 14:18:21,356.0,2.0,1455.0,135.0,128.0,12.0,313.0,7253.0,A Python implementation of global optimization with gaussian processes.,43.0,30,True,2023-04-25 22:00:01.831,1.4.3,14.0,bayesian-optimization,,,,141.0,218693.0,2446.0,2328.0,https://pypi.org/project/bayesian-optimization,2023-04-25 22:00:01.831,118.0,218692.0,,,,2.0,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,,,,,,,,,,, +276,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2024-01-17 12:49:23.000000,2024-01-08 16:00:44,153.0,1.0,1051.0,195.0,97.0,148.0,290.0,5741.0,Official Kaggle API.,37.0,30,True,2024-01-12 17:08:06.000,1.6.3,63.0,kaggle,conda-forge/kaggle,,,,193011.0,403.0,21.0,https://pypi.org/project/kaggle,2024-01-12 17:08:06.000,382.0,189454.0,https://anaconda.org/conda-forge/kaggle,2024-01-13 06:37:32.066,142319.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +277,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-01-18 05:40:56.000000,2024-01-12 05:25:21,1555.0,44.0,821.0,144.0,1459.0,326.0,398.0,4903.0,Simple and Distributed Machine Learning.,115.0,30,True,2023-11-27 22:05:20.000,1.0.2,42.0,synapseml,,,,,141913.0,3.0,,https://pypi.org/project/synapseml,2023-11-27 22:05:20.000,3.0,141913.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +278,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2023-12-24 09:12:15.000000,2023-04-30 18:36:20,483.0,,661.0,89.0,206.0,138.0,356.0,4525.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,30,True,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,583891.0,1380.0,1330.0,https://pypi.org/project/lightfm,2023-03-20 04:15:00.582,50.0,581536.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,169562.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +279,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2024-01-12 17:02:04.000000,2024-01-12 17:02:04,587.0,25.0,711.0,80.0,321.0,87.0,311.0,4522.0,Uplift modeling and causal inference with machine learning algorithms.,59.0,30,True,2023-08-28 06:52:12.000,0.14.1,22.0,causalml,,,,,72367.0,177.0,176.0,https://pypi.org/project/causalml,2023-08-28 06:52:12.000,1.0,72367.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +280,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2024-01-18 08:20:03.000000,2024-01-16 09:28:27,2145.0,4.0,263.0,45.0,2115.0,309.0,645.0,4481.0,Aim An easy-to-use & supercharged open-source experiment tracker.,59.0,30,True,2023-10-04 15:24:14.000,4.0.3,875.0,aim,conda-forge/aim,,,,53482.0,429.0,412.0,https://pypi.org/project/aim,2024-01-17 20:08:39.000,17.0,52103.0,https://anaconda.org/conda-forge/aim,2023-06-16 19:26:46.894,41375.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +281,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2024-01-13 14:59:12.000000,2022-09-24 16:20:26,585.0,,875.0,93.0,208.0,102.0,437.0,4359.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,45.0,30,False,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,['pandas'],,89919.0,3620.0,3570.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,50.0,89191.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,19675.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +282,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2023-11-28 14:54:27.704000,2023-11-13 07:19:19,1344.0,2.0,375.0,71.0,366.0,97.0,460.0,4126.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",105.0,30,True,2023-11-13 07:24:08.000,0.8.5,29.0,sacred,conda-forge/sacred,,,,27608.0,2904.0,2794.0,https://pypi.org/project/sacred,2023-11-13 07:24:08.000,110.0,27436.0,https://anaconda.org/conda-forge/sacred,2023-11-28 14:54:27.704,4497.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +283,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2024-01-15 15:11:43.000000,2024-01-15 15:11:42,1441.0,25.0,751.0,75.0,1765.0,290.0,624.0,4014.0,Probabilistic time series modeling in Python.,111.0,30,True,2023-12-07 09:10:45.000,0.14.3,107.0,gluonts,anaconda/gluonts,,['mxnet'],,158286.0,16.0,,https://pypi.org/project/gluonts,2023-12-07 09:10:45.000,16.0,158261.0,https://anaconda.org/anaconda/gluonts,2023-12-22 09:31:03.436,694.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +284,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2023-12-19 14:36:53.000000,2023-12-19 14:36:52,3303.0,29.0,522.0,120.0,367.0,75.0,733.0,3900.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",70.0,30,True,2023-02-17 16:58:05.493,2.0.23,174.0,dedupe,conda-forge/dedupe,,,,59348.0,358.0,309.0,https://pypi.org/project/dedupe,2023-02-17 16:58:05.493,49.0,57664.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,42120.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +285,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2024-01-17 08:50:23.000000,2024-01-17 08:40:34,1084.0,13.0,345.0,60.0,1338.0,122.0,172.0,3792.0,A Python toolbox for performing gradient-free optimization.,53.0,30,True,2023-11-19 06:44:47.000,1.0.1,46.0,nevergrad,conda-forge/nevergrad,,,,49842.0,636.0,603.0,https://pypi.org/project/nevergrad,2023-11-19 06:44:47.000,33.0,48818.0,https://anaconda.org/conda-forge/nevergrad,2024-01-09 16:02:07.312,45076.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +286,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2024-01-17 23:00:03.000000,2024-01-12 17:22:41,15339.0,52.0,493.0,70.0,3374.0,839.0,1541.0,3758.0,cuML - RAPIDS Machine Learning Library.,168.0,30,True,2023-12-06 19:20:46.000,23.12.00,36.0,cuml,,,,,1818.0,6.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,6.0,1818.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +287,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2023-11-06 09:55:37.480000,2023-10-04 07:40:23,3656.0,,474.0,100.0,1043.0,254.0,368.0,3521.0,Plotting library for IPython/Jupyter notebooks.,64.0,30,True,2023-10-17 15:07:51.000,0.12.42,110.0,bqplot,conda-forge/bqplot,,['jupyter'],,135196.0,175.0,53.0,https://pypi.org/project/bqplot,2023-10-17 15:07:51.000,105.0,104091.0,https://anaconda.org/conda-forge/bqplot,2023-11-06 09:55:37.480,1250878.0,3.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2023-10-17 10:48:26.195,17.0,2676.0,,,,,,,,,,,,,,, +288,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2023-11-21 21:16:03.000000,2023-11-21 21:15:59,435.0,1.0,602.0,78.0,227.0,76.0,404.0,3358.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,30,True,2023-09-29 21:07:11.000,0.7.2,47.0,implicit,conda-forge/implicit,,,670.0,162538.0,1266.0,1227.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,39.0,148507.0,https://anaconda.org/conda-forge/implicit,2023-11-21 19:59:55.425,560199.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +289,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2024-01-17 17:57:36.000000,2024-01-10 09:28:24,484.0,14.0,485.0,35.0,501.0,6.0,,3340.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,37.0,30,True,2023-11-05 23:19:54.000,0.11.15,101.0,sahi,conda-forge/sahi,,,20838.0,94749.0,864.0,852.0,https://pypi.org/project/sahi,2023-11-05 23:19:54.000,12.0,92196.0,https://anaconda.org/conda-forge/sahi,2023-11-06 10:35:24.165,52884.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +290,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2024-01-18 00:08:43.000000,2023-12-11 18:09:03,3827.0,6.0,504.0,60.0,879.0,320.0,966.0,3332.0,A highly efficient implementation of Gaussian Processes in PyTorch.,127.0,30,True,2023-06-02 22:04:02.000,1.11,38.0,gpytorch,conda-forge/gpytorch,,['pytorch'],,146397.0,1876.0,1788.0,https://pypi.org/project/gpytorch,2023-06-02 22:13:00.914,88.0,143169.0,https://anaconda.org/conda-forge/gpytorch,2023-08-11 22:34:06.614,142065.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +291,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2024-01-15 18:57:15.000000,2024-01-15 18:56:17,468.0,5.0,729.0,119.0,118.0,58.0,368.0,2889.0,"Hidden Markov Models in Python, with scikit-learn like API.",46.0,30,True,2023-04-18 18:59:00.534,0.3.0,12.0,hmmlearn,conda-forge/hmmlearn,,['sklearn'],,205808.0,2383.0,2239.0,https://pypi.org/project/hmmlearn,2023-04-18 18:59:00.534,144.0,200705.0,https://anaconda.org/conda-forge/hmmlearn,2023-10-07 20:19:04.855,204153.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +292,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2024-01-18 03:55:55.000000,2024-01-18 03:33:23,7183.0,502.0,338.0,75.0,8344.0,148.0,316.0,2702.0,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,..",108.0,30,True,2024-01-10 15:46:07.000,0.27.0,477.0,determined,,https://docs.determined.ai,"['pytorch', 'tensorflow']",8057.0,17824.0,4.0,,https://pypi.org/project/determined,2024-01-17 17:42:47.000,4.0,17645.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +293,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2023-12-18 14:37:02.000000,2023-11-11 12:54:41,2661.0,13.0,345.0,36.0,510.0,49.0,213.0,2646.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",61.0,30,True,2023-09-11 23:15:50.000,0.3.9,46.0,textattack,conda-forge/textattack,,,,5050.0,233.0,228.0,https://pypi.org/project/textattack,2023-09-11 23:15:50.000,5.0,4875.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,7013.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +294,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2024-01-17 16:23:03.000000,2023-12-11 13:43:52,1053.0,33.0,443.0,126.0,142.0,192.0,247.0,2585.0,PYthon svg GrAph plotting Library.,77.0,30,False,2023-11-21 15:34:11.000,3.0.4,80.0,pygal,conda-forge/pygal,,,,287623.0,637.0,,https://pypi.org/project/pygal,2023-11-21 15:34:11.000,637.0,284554.0,https://anaconda.org/conda-forge/pygal,2023-11-21 17:04:08.093,36829.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +295,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2024-01-17 02:56:33.000000,2023-12-27 07:53:06,1445.0,98.0,200.0,49.0,240.0,154.0,154.0,1984.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",40.0,30,True,2023-12-27 07:54:37.000,0.33.0,168.0,graphistry,,,['jupyter'],,3218.0,113.0,107.0,https://pypi.org/project/graphistry,2023-12-27 07:54:37.000,6.0,3218.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +296,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2024-01-01 10:51:44.000000,2023-12-11 16:17:44,517.0,12.0,433.0,88.0,101.0,82.0,258.0,1900.0,bt - flexible backtesting for Python.,31.0,30,True,2023-11-20 03:03:12.000,1.0.0,26.0,bt,conda-forge/bt,,,,6405.0,1619.0,1591.0,https://pypi.org/project/bt,2023-11-20 03:03:12.000,28.0,5796.0,https://anaconda.org/conda-forge/bt,2023-11-20 16:37:06.276,20114.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +297,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2024-01-15 11:08:08.000000,2024-01-04 11:41:58,2445.0,5.0,435.0,75.0,1259.0,143.0,682.0,1781.0,Gaussian processes in TensorFlow.,84.0,30,True,2023-08-09 09:23:26.000,2.9.0,48.0,gpflow,conda-forge/gpflow,,['tensorflow'],,43493.0,646.0,609.0,https://pypi.org/project/gpflow,2023-08-09 09:23:26.000,37.0,43130.0,https://anaconda.org/conda-forge/gpflow,2023-06-16 16:08:37.785,24715.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +298,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2023-12-31 19:11:58.314000,2023-12-31 15:46:16,440.0,30.0,282.0,59.0,100.0,22.0,99.0,1706.0,ffn - a financial function library for Python.,32.0,30,True,2023-12-31 16:05:45.000,1.0.1,33.0,ffn,conda-forge/ffn,,,,181470.0,448.0,417.0,https://pypi.org/project/ffn,2023-12-31 15:47:45.000,31.0,181274.0,https://anaconda.org/conda-forge/ffn,2023-12-31 19:11:58.314,6497.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +299,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2024-01-15 17:42:53.000000,2024-01-15 17:42:53,1589.0,4.0,281.0,54.0,137.0,79.0,182.0,1693.0,"CUDA integration for Python, plus shiny features.",81.0,30,True,2024-01-03 16:54:41.000,2024.1,53.0,pycuda,conda-forge/pycuda,,,,37176.0,2820.0,2596.0,https://pypi.org/project/pycuda,2024-01-03 16:54:26.000,224.0,29126.0,https://anaconda.org/conda-forge/pycuda,2024-01-06 20:33:04.514,273719.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +300,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2024-01-11 00:02:53.000000,2024-01-11 00:02:53,859.0,52.0,105.0,22.0,342.0,92.0,210.0,1626.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,45.0,30,True,2024-01-10 21:26:20.000,0.11.3,47.0,equinox,,,['jax'],,54399.0,430.0,378.0,https://pypi.org/project/equinox,2024-01-10 21:26:20.000,52.0,54399.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,, +301,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2024-01-09 11:14:48.000000,2023-12-15 11:14:27,1110.0,16.0,170.0,21.0,144.0,42.0,123.0,1603.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,24.0,30,True,2023-11-24 08:30:29.000,0.34.1,35.0,audiomentations,,,,,19062.0,412.0,412.0,https://pypi.org/project/audiomentations,,,19062.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +302,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2024-01-08 15:06:52.000000,2024-01-08 15:03:19,1840.0,10.0,269.0,45.0,269.0,58.0,192.0,1469.0,TensorLy: Tensor Learning in Python.,66.0,30,True,2023-03-08 01:09:02.237,0.8.1,20.0,tensorly,conda-forge/tensorly,,,,15607.0,603.0,551.0,https://pypi.org/project/tensorly,2023-03-08 01:09:02.237,52.0,10265.0,https://anaconda.org/conda-forge/tensorly,2023-06-16 16:08:38.154,363294.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +303,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2024-01-15 09:58:06.763000,2024-01-13 15:45:51,1242.0,17.0,135.0,30.0,103.0,33.0,246.0,1465.0,Statistical package in Python based on Pandas.,43.0,30,False,2024-01-13 15:48:45.000,0.5.4,40.0,pingouin,conda-forge/pingouin,,,,58829.0,1758.0,1684.0,https://pypi.org/project/pingouin,2024-01-13 15:46:36.000,74.0,56230.0,https://anaconda.org/conda-forge/pingouin,2024-01-15 09:58:06.763,111784.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +304,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2023-12-19 11:34:09.090000,2023-12-19 06:28:04,1472.0,6.0,162.0,32.0,245.0,,,1307.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",22.0,30,True,2023-12-19 07:41:39.000,1.3.4,76.0,spacy-transformers,conda-forge/spacy-transformers,,['spacy'],,157665.0,1491.0,1446.0,https://pypi.org/project/spacy-transformers,2023-12-19 07:15:13.000,45.0,156650.0,https://anaconda.org/conda-forge/spacy-transformers,2023-12-19 11:34:09.090,26405.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +305,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2024-01-18 07:34:54.000000,2024-01-13 17:55:32,1525.0,17.0,162.0,18.0,777.0,106.0,438.0,1229.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,107.0,30,True,2023-09-18 03:57:15.000,0.26.0,59.0,pyjanitor,conda-forge/pyjanitor,,,,44608.0,549.0,529.0,https://pypi.org/project/pyjanitor,2023-09-18 03:57:09.000,20.0,41934.0,https://anaconda.org/conda-forge/pyjanitor,2023-06-16 16:12:04.304,187196.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +306,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2024-01-12 13:30:48.000000,2024-01-02 19:45:00,3278.0,6.0,242.0,48.0,350.0,72.0,263.0,1009.0,"OpenCL integration for Python, plus shiny features.",95.0,30,True,2023-10-12 23:06:24.000,2023.1.4,94.0,pyopencl,conda-forge/pyopencl,,,,58837.0,1980.0,1774.0,https://pypi.org/project/pyopencl,2023-10-12 23:06:24.000,206.0,36200.0,https://anaconda.org/conda-forge/pyopencl,2023-10-13 14:22:03.075,973418.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +307,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2023-12-31 16:49:29.000000,2023-12-27 09:35:50,3706.0,45.0,324.0,66.0,681.0,33.0,525.0,812.0,The Classical Language Toolkit.,120.0,30,True,2023-12-27 08:38:23.000,1.2.1,211.0,cltk,,,,50.0,1267.0,295.0,253.0,https://pypi.org/project/cltk,2023-12-27 08:38:23.000,42.0,1267.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +308,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2024-01-17 19:57:13.000000,2023-12-23 04:55:48,1657.0,10.0,283.0,43.0,1294.0,268.0,362.0,681.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",107.0,30,True,2023-12-19 00:59:41.000,0.35.0,42.0,tensorflow-io,,,['tensorflow'],,2039332.0,36.0,,https://pypi.org/project/tensorflow-io,2023-12-19 00:58:11.000,36.0,2039332.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +309,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2024-01-05 08:05:26.000000,2024-01-05 08:05:26,564.0,11.0,93.0,17.0,193.0,97.0,135.0,633.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",33.0,30,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,17000.0,1424894.0,30233.0,29925.0,https://pypi.org/project/soundfile,2023-02-15 15:39:00.786,308.0,1424752.0,https://anaconda.org/anaconda/pysoundfile,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +310,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2024-01-17 01:49:07.000000,2024-01-02 15:41:05,17069.0,26.0,112.0,27.0,3556.0,503.0,3377.0,475.0,"Keep code, data, containers under control with git and git-annex.",55.0,30,True,2023-12-28 17:04:33.000,0.19.5,110.0,datalad,conda-forge/datalad,,,,24569.0,65.0,,https://pypi.org/project/datalad,2023-12-28 17:04:33.000,65.0,14916.0,https://anaconda.org/conda-forge/datalad,2023-12-28 19:33:36.774,415082.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +311,Neptune.ai,neptune-ai/neptune-client,ml-experiments,,https://github.com/neptune-ai/neptune-client,https://github.com/neptune-ai/neptune-client,Apache-2.0,2019-02-11 11:25:57.000,2024-01-18 12:24:30.000000,2024-01-11 11:33:24,1854.0,84.0,54.0,18.0,1388.0,33.0,203.0,444.0,The MLOps stack component for experiment tracking.,54.0,30,True,2023-12-04 11:00:03.000,1.8.6,197.0,neptune-client,conda-forge/neptune-client,,,,552192.0,49.0,,https://pypi.org/project/neptune-client,2023-12-07 09:56:42.000,49.0,547038.0,https://anaconda.org/conda-forge/neptune-client,2023-12-04 13:15:00.892,226810.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +312,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2023-12-23 16:12:25.000000,2023-12-23 16:11:39,302.0,5.0,2629.0,138.0,44.0,113.0,131.0,16640.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",20.0,29,True,2023-12-23 16:12:25.000,1.6.5,185.0,vit-pytorch,,,['pytorch'],,23697.0,396.0,390.0,https://pypi.org/project/vit-pytorch,2023-12-23 16:12:25.000,6.0,23697.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +313,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2023-11-21 01:05:50.000000,2020-01-31 13:06:18,347.0,,4769.0,648.0,372.0,495.0,436.0,15108.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,29,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,955.0,584.0,545.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,39.0,955.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +314,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2024-01-14 12:24:24.000000,2023-11-21 12:31:47,1957.0,4.0,2254.0,275.0,898.0,226.0,668.0,13280.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",122.0,29,True,2023-07-18 11:35:09.110,0.9.3,32.0,pyqlib,,,['pytorch'],392.0,1399.0,22.0,21.0,https://pypi.org/project/pyqlib,2023-07-18 11:35:09.110,1.0,1390.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +315,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2023-12-31 05:42:20.000000,2023-04-19 14:13:08,2404.0,,3342.0,602.0,219.0,42.0,,12357.0,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,12825.0,1941.0,1876.0,https://pypi.org/project/backtrader,2023-04-19 14:15:00.742,65.0,12825.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +316,pandas-ai,gventuri/pandas-ai,others,,https://github.com/gventuri/pandas-ai,https://github.com/gventuri/pandas-ai,MIT,2023-04-22 12:58:01.000,2024-01-17 16:08:51.000000,2024-01-17 08:25:13,698.0,133.0,806.0,81.0,320.0,168.0,270.0,9485.0,"Chat with your data (CSV, pandas, polars, etc). PandasAI makes data analysis conversational.",59.0,29,True,2024-01-17 08:25:55.000,1.5.16,100.0,pandas-ai,,,,,,2542.0,2542.0,https://pypi.org/project/pandas-ai,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +317,pretrainedmodels,Cadene/pretrained-models.pytorch,pytorch-utils,,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000,2023-06-16 19:20:12.183000,2020-04-16 08:02:22,154.0,,1840.0,217.0,46.0,96.0,94.0,8901.0,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,29,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,['pytorch'],,113384.0,114.0,20.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,94.0,112681.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,30263.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +318,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2024-01-18 01:04:39.000000,2024-01-16 17:18:42,2083.0,149.0,810.0,99.0,2324.0,280.0,883.0,6739.0,"AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data.",114.0,29,True,2023-11-30 05:58:09.000,1.0.0,1383.0,autogluon,,https://auto.gluon.ai,"['pytorch', 'sklearn']",,48354.0,9.0,2.0,https://pypi.org/project/autogluon,2024-01-01 09:05:29.000,7.0,48234.0,,,,2.0,,,,,,,,,autogluon/autogluon,https://hub.docker.com/r/autogluon/autogluon,2023-07-26 19:13:58.158186,17.0,6503.0,,,,,,,,,, +319,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2023-10-19 19:24:54.000000,2023-10-19 19:24:51,248.0,,851.0,126.0,38.0,63.0,144.0,5031.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,21.0,29,True,2022-04-22 15:21:47.000,0.2.3,7.0,torchdiffeq,conda-forge/torchdiffeq,,['pytorch'],,760165.0,2832.0,2786.0,https://pypi.org/project/torchdiffeq,2022-04-22 15:21:47.000,46.0,759844.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,14138.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +320,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2023-09-20 11:21:28.000000,2023-09-20 11:21:28,918.0,,634.0,148.0,789.0,141.0,356.0,4687.0,Deep Learning Visualization Toolkit.,33.0,29,True,2023-06-05 07:21:00.910,2.5.3,43.0,visualdl,,,['paddle'],341.0,205978.0,2626.0,2580.0,https://pypi.org/project/visualdl,2023-06-05 07:21:00.910,46.0,205971.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +321,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2023-06-16 19:26:38.185000,2022-07-07 05:16:43,738.0,,442.0,42.0,124.0,63.0,154.0,4229.0,Data augmentation for NLP.,33.0,29,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,84035.0,1052.0,1019.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,33.0,83519.0,https://anaconda.org/conda-forge/nlpaug,2023-06-16 19:26:38.185,16006.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +322,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2024-01-16 19:49:55.000000,2023-12-04 20:15:52,1724.0,48.0,536.0,40.0,777.0,430.0,281.0,3426.0,Time series forecasting with PyTorch.,43.0,29,True,2023-04-10 19:57:38.490,1.0.0,34.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,46619.0,10.0,,https://pypi.org/project/pytorch-forecasting,2020-07-26 21:35:43.000,10.0,45284.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,53428.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +323,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2023-12-29 09:26:48.000000,2023-12-29 09:26:14,403.0,3.0,247.0,65.0,52.0,9.0,,3248.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",14.0,29,True,2023-12-29 09:27:05.000,4.6.1,27.0,textdistance,conda-forge/textdistance,,,971.0,360836.0,5616.0,5547.0,https://pypi.org/project/textdistance,2023-12-29 09:26:30.000,69.0,353346.0,https://anaconda.org/conda-forge/textdistance,2023-06-16 16:13:38.456,508444.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +324,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2024-01-11 19:32:29.000000,2023-11-13 00:15:46,980.0,1.0,570.0,100.0,333.0,29.0,713.0,3213.0,"Fast, flexible and easy to use probabilistic modelling in Python.",72.0,29,True,2023-09-17 19:03:32.000,0.14.9,73.0,pomegranate,conda-forge/pomegranate,,,,23502.0,1099.0,1040.0,https://pypi.org/project/pomegranate,2023-09-17 19:03:32.000,59.0,20298.0,https://anaconda.org/conda-forge/pomegranate,2023-12-10 17:04:41.093,140979.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +325,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2024-01-18 13:00:01.000000,2023-12-18 12:28:19,1478.0,13.0,227.0,16.0,1703.0,263.0,724.0,3178.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,52.0,29,False,2023-10-11 15:32:25.000,0.17.5,58.0,deepchecks,,,,771.0,33447.0,334.0,328.0,https://pypi.org/project/deepchecks,2023-10-11 15:32:13.000,6.0,33419.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +326,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2024-01-05 06:03:44.000000,2024-01-02 20:16:48,4161.0,35.0,363.0,81.0,63.0,154.0,189.0,3096.0,a library for audio and music analysis.,25.0,29,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,16713.0,457.0,430.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,27.0,8961.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,635735.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +327,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2022-02-11 16:25:24.000000,2021-02-25 05:05:09,452.0,,672.0,110.0,73.0,99.0,123.0,2936.0,Productivity Tools for Plotly + Pandas.,39.0,29,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,['pandas'],,73682.0,10066.0,9893.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,173.0,73682.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +328,pytorch-optimizer,jettify/pytorch-optimizer,pytorch-utils,,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000,2023-11-22 23:34:56.000000,2023-06-20 03:14:12,435.0,,281.0,34.0,475.0,32.0,30.0,2902.0,torch-optimizer -- collection of optimizers for Pytorch.,26.0,29,True,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,['pytorch'],,137657.0,1137.0,1091.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,46.0,137371.0,https://anaconda.org/conda-forge/torch-optimizer,2023-06-16 19:25:40.043,9467.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +329,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2024-01-15 07:57:11.000000,2024-01-15 07:57:10,2867.0,14.0,962.0,121.0,502.0,58.0,293.0,2519.0,IPython Parallel: Interactive Parallel Computing in Python.,113.0,29,False,2023-04-14 13:35:06.415,8.6.1,45.0,ipyparallel,conda-forge/ipyparallel,,['jupyter'],,178689.0,303.0,,https://pypi.org/project/ipyparallel,2023-04-14 13:35:06.415,303.0,168512.0,https://anaconda.org/conda-forge/ipyparallel,2023-06-16 13:17:51.662,946496.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +330,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2024-01-17 22:21:54.000000,2024-01-17 21:34:01,1088.0,27.0,236.0,30.0,410.0,90.0,307.0,2107.0,Scalable and user friendly neural forecasting algorithms.,34.0,29,True,2023-10-05 19:40:30.000,1.6.4,20.0,neuralforecast,conda-forge/neuralforecast,,,,10563.0,100.0,95.0,https://pypi.org/project/neuralforecast,2023-10-05 19:40:30.000,5.0,9993.0,https://anaconda.org/conda-forge/neuralforecast,2023-10-06 19:47:12.240,12557.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +331,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2023-10-09 13:43:55.000000,2023-10-09 11:43:56,191.0,,255.0,57.0,69.0,49.0,219.0,1892.0,A Python wrapper for the tesseract-ocr API.,29.0,29,True,2023-10-09 13:43:55.000,2.6.2,19.0,tesserocr,conda-forge/tesserocr,,,78.0,46771.0,1001.0,929.0,https://pypi.org/project/tesserocr,2023-10-09 13:43:55.000,72.0,44236.0,https://anaconda.org/conda-forge/tesserocr,2023-06-16 16:18:15.161,129314.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +332,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2023-12-14 19:31:09.000000,2023-12-14 19:31:09,279.0,2.0,355.0,53.0,77.0,78.0,109.0,1757.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,41.0,29,True,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,['jupyter'],,181864.0,5813.0,5654.0,https://pypi.org/project/pyldavis,2023-04-23 23:55:02.142,159.0,180709.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,77417.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +333,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2024-01-15 09:01:45.000000,2024-01-15 09:01:45,838.0,15.0,374.0,37.0,855.0,164.0,289.0,1720.0,A Python package to assess and improve fairness of machine learning models.,79.0,29,True,2023-12-19 14:14:09.000,0.10.0,20.0,fairlearn,conda-forge/fairlearn,,['sklearn'],,210316.0,32.0,3.0,https://pypi.org/project/fairlearn,2023-12-19 02:11:12.000,29.0,209512.0,https://anaconda.org/conda-forge/fairlearn,2023-12-20 11:56:56.090,30589.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +334,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2024-01-05 03:23:07.000000,2022-08-31 01:52:51,509.0,,308.0,103.0,49.0,8.0,151.0,1572.0,Distributed Deep learning with Keras & Spark.,27.0,29,False,2024-01-05 03:23:07.000,5.2.1,42.0,elephas,conda-forge/elephas,,"['keras', 'spark']",,61082.0,77.0,74.0,https://pypi.org/project/elephas,2024-01-05 03:23:07.000,3.0,60830.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,13356.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +335,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2024-01-12 00:07:56.129000,2024-01-11 02:27:09,192.0,22.0,195.0,32.0,19.0,1.0,83.0,1553.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",15.0,29,True,2024-01-11 02:29:14.000,0.1.804,82.0,autoviz,conda-forge/autoviz,,,,310513.0,609.0,602.0,https://pypi.org/project/autoviz,2024-01-11 02:29:14.000,7.0,308935.0,https://anaconda.org/conda-forge/autoviz,2024-01-12 00:07:56.129,45774.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +336,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2023-09-26 23:11:11.000000,2023-09-26 23:11:11,163.0,,174.0,34.0,72.0,19.0,52.0,1417.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,8.0,29,True,2023-09-26 22:07:23.000,0.2.6,5.0,torchsde,conda-forge/torchsde,,['pytorch'],,1491203.0,2181.0,2166.0,https://pypi.org/project/torchsde,2023-09-26 21:52:19.000,15.0,1490672.0,https://anaconda.org/conda-forge/torchsde,2023-06-16 19:24:16.458,19126.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +337,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2024-01-16 18:36:31.000000,2024-01-16 18:36:30,1399.0,34.0,275.0,74.0,104.0,34.0,53.0,1227.0,Model analysis tools for TensorFlow.,57.0,29,True,2023-08-14 20:39:41.000,0.45.0,56.0,tensorflow-model-analysis,,,"['tensorflow', 'jupyter']",,72358.0,25.0,2.0,https://pypi.org/project/tensorflow-model-analysis,2023-08-14 20:39:41.000,23.0,72358.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +338,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2023-12-01 20:21:49.000000,2023-11-18 20:02:49,3016.0,7.0,267.0,34.0,37.0,1.0,479.0,1201.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,16.0,29,True,2023-11-18 20:03:36.000,0.39.0,205.0,ktrain,,,['tensorflow'],,10127.0,497.0,494.0,https://pypi.org/project/ktrain,2023-11-18 19:59:57.000,3.0,10127.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +339,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2024-01-17 21:03:09.000000,2024-01-17 21:03:09,532.0,6.0,405.0,52.0,39.0,17.0,139.0,1199.0,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",22.0,29,True,2022-09-06 19:52:23.000,0.12.2,17.0,kmodes,conda-forge/kmodes,,,,314482.0,2431.0,2398.0,https://pypi.org/project/kmodes,2022-09-06 19:38:02.764,33.0,313610.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,39284.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +340,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2024-01-08 14:46:22.000000,2021-02-12 19:04:59,2079.0,,247.0,41.0,37.0,66.0,590.0,1128.0,"pyclustering is a Python, C++ data mining library.",26.0,29,False,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,483.0,70986.0,631.0,597.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,34.0,69563.0,https://anaconda.org/conda-forge/pyclustering,2023-11-16 19:00:50.847,59575.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +341,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2024-01-16 17:06:38.000000,2024-01-16 17:06:38,1911.0,81.0,290.0,23.0,2198.0,84.0,225.0,1088.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,41.0,29,True,2023-12-28 21:53:33.000,0.33.0,52.0,raiwidgets,,,"['pytorch', 'tensorflow', 'jupyter']",,5060.0,82.0,79.0,https://pypi.org/project/raiwidgets,2023-12-28 21:34:46.000,3.0,5060.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +342,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2023-06-16 16:10:42.597000,2022-02-17 22:38:15,288.0,,454.0,43.0,176.0,93.0,102.0,1028.0,"Utilities for working with image data, text data, and sequence data.",52.0,29,False,2020-05-14 03:55:22.223,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,['tensorflow'],,4211770.0,1577.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:55:22.223,1577.0,4179486.0,https://anaconda.org/conda-forge/keras-preprocessing,2023-06-16 16:10:42.597,2163052.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +343,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2024-01-10 16:03:56.000000,2024-01-10 16:03:56,666.0,9.0,101.0,14.0,94.0,71.0,60.0,822.0,A Python nearest neighbor descent for approximate nearest neighbors.,27.0,29,True,2023-11-20 18:50:25.000,0.5.11,30.0,pynndescent,conda-forge/pynndescent,,,,880186.0,5344.0,5272.0,https://pypi.org/project/pynndescent,2023-11-20 18:50:25.000,72.0,838890.0,https://anaconda.org/conda-forge/pynndescent,2023-11-20 21:14:19.693,1734450.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +344,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2024-01-18 08:43:14.000000,2024-01-18 04:17:34,1329.0,52.0,122.0,25.0,452.0,10.0,127.0,781.0,A Comparative Framework for Multimodal Recommender Systems.,18.0,29,True,2023-12-12 07:49:26.000,1.18.0,54.0,cornac,conda-forge/cornac,,,,108795.0,206.0,190.0,https://pypi.org/project/cornac,2023-12-12 08:02:04.000,16.0,100824.0,https://anaconda.org/conda-forge/cornac,2023-12-12 18:26:56.153,342770.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +345,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2023-11-14 05:08:49.000000,2023-11-14 05:08:49,1913.0,8.0,225.0,20.0,286.0,47.0,265.0,777.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",44.0,29,True,2023-01-08 01:14:38.679,1.4.7,46.0,salib,conda-forge/salib,,,,139860.0,1093.0,1005.0,https://pypi.org/project/salib,2023-01-08 01:14:38.679,88.0,138205.0,https://anaconda.org/conda-forge/salib,2023-06-16 13:22:11.263,142379.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +346,data-validation,tensorflow/data-validation,data-viz,,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000,2024-01-08 19:04:03.000000,2024-01-08 19:04:02,943.0,14.0,162.0,48.0,83.0,35.0,144.0,739.0,Library for exploring and validating machine learning data.,26.0,29,True,2023-08-14 06:58:23.000,1.14.0,44.0,tensorflow-data-validation,,,"['tensorflow', 'jupyter']",642.0,170024.0,816.0,786.0,https://pypi.org/project/tensorflow-data-validation,2023-08-14 06:58:23.000,30.0,170014.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +347,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000,2024-01-17 14:28:35.000000,2024-01-17 14:27:39,3017.0,83.0,107.0,16.0,253.0,11.0,135.0,731.0,Python bindings for MPI.,26.0,29,True,2023-10-04 09:04:51.000,3.1.5,27.0,mpi4py,conda-forge/mpi4py,,,19672.0,224991.0,740.0,,https://pypi.org/project/mpi4py,2023-10-04 09:04:51.000,740.0,165856.0,https://anaconda.org/conda-forge/mpi4py,2023-10-17 08:36:29.714,2288047.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +348,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2024-01-16 21:34:43.000000,2023-12-22 14:48:18,792.0,13.0,72.0,25.0,358.0,111.0,225.0,546.0,"Simple, concise geographical visualization in Python.",30.0,29,True,2023-11-01 18:39:43.000,1.11.0,53.0,geoviews,conda-forge/geoviews,,,,11381.0,892.0,855.0,https://pypi.org/project/geoviews,2023-11-01 16:39:32.000,37.0,6180.0,https://anaconda.org/conda-forge/geoviews,2023-11-02 09:01:15.038,208046.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +349,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2024-01-05 22:49:00.000000,2024-01-05 22:49:00,224.0,5.0,55.0,13.0,201.0,12.0,186.0,300.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",14.0,29,True,2023-12-14 11:17:15.000,3.8.0,70.0,pystan,conda-forge/pystan,,,,1590580.0,9841.0,9579.0,https://pypi.org/project/pystan,2023-12-14 11:17:15.000,262.0,1556595.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2786797.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +350,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2023-11-03 15:14:22.000000,2023-11-03 14:46:16,569.0,1.0,38.0,13.0,69.0,7.0,25.0,206.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,12.0,29,False,2023-09-22 06:31:01.000,0.7.11,46.0,blis,conda-forge/cython-blis,,,,4880524.0,38066.0,37817.0,https://pypi.org/project/blis,2023-09-22 06:27:17.000,249.0,4829586.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2037525.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +351,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2024-01-18 14:16:38.000000,2024-01-18 09:21:01,2174.0,261.0,899.0,109.0,2346.0,145.0,747.0,15548.0,"Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud..",79.0,28,True,2023-12-19 21:43:20.000,1.7.3,61.0,,,,,8807.0,266.0,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +352,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2024-01-04 03:54:30.000000,2023-12-28 07:35:14,2224.0,1.0,2736.0,193.0,3603.0,1378.0,3850.0,11721.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",159.0,28,True,2023-10-19 03:47:18.000,2.7.0,9.0,paddledet,,,['paddle'],,573.0,1.0,,https://pypi.org/project/paddledet,2022-09-19 20:42:09.271,1.0,573.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +353,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2023-11-27 11:39:00.000000,2023-11-27 11:38:59,333.0,8.0,1387.0,434.0,50.0,98.0,87.0,10291.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,28,True,2022-09-21 20:20:42.649,4.0.6,44.0,dopamine-rl,,,['tensorflow'],,23383.0,57.0,21.0,https://pypi.org/project/dopamine-rl,2022-09-21 20:20:42.649,36.0,23383.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +354,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2023-12-04 21:17:36.000000,2022-11-08 22:11:16,98.0,,1765.0,203.0,70.0,107.0,34.0,9736.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,30.0,28,False,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,265506.0,12.0,2.0,https://pypi.org/project/english-words,2023-05-24 15:11:00.531,10.0,265506.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +355,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2023-10-24 19:57:22.000000,2023-10-24 19:51:03,547.0,1.0,1168.0,167.0,427.0,58.0,469.0,7959.0,Automatic extraction of relevant features from time series:.,91.0,28,True,2023-06-14 21:34:06.791,0.20.1,30.0,tsfresh,conda-forge/tsfresh,,['sklearn'],,217109.0,98.0,21.0,https://pypi.org/project/tsfresh,2023-06-14 21:34:06.791,77.0,186898.0,https://anaconda.org/conda-forge/tsfresh,2023-07-30 07:29:21.371,1329293.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +356,Facets Overview,pair-code/facets,data-viz,,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000,2023-05-24 15:58:01.158000,2023-05-24 15:56:22,277.0,,909.0,268.0,98.0,82.0,81.0,7283.0,Visualizations for machine learning datasets.,31.0,28,True,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,['jupyter'],,208118.0,219.0,211.0,https://pypi.org/project/facets-overview,2023-05-24 15:58:01.158,8.0,208118.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +357,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-12-02 01:27:38.759000,2023-02-18 07:58:21,3353.0,,1639.0,461.0,698.0,33.0,441.0,7270.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,134.0,28,True,2022-02-15 02:05:47.000,2.2.5,84.0,tensorlayer,,,['tensorflow'],1993.0,1373.0,40.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,40.0,1351.0,,,,2.0,5.0,,,,,,,,,,,,,,,,,,,,,, +358,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2023-10-24 07:07:43.000000,2023-08-16 23:55:56,220.0,,1303.0,175.0,46.0,75.0,236.0,6675.0,2D and 3D Face alignment library build using pytorch.,26.0,28,True,2023-08-17 14:43:11.000,1.4.1,14.0,face-alignment,,,['pytorch'],,59382.0,33.0,21.0,https://pypi.org/project/face-alignment,2023-08-17 14:43:11.000,12.0,59382.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +359,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic-legacy,https://github.com/numenta/nupic-legacy,AGPL-3.0,2013-04-05 23:14:27.000,2023-09-01 15:42:16.000000,2023-08-31 21:49:25,6626.0,,1582.0,624.0,2111.0,464.0,1338.0,6332.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",123.0,28,False,2018-06-01 15:39:25.550,1.0.5,53.0,nupic,,,,3.0,1387.0,59.0,21.0,https://pypi.org/project/nupic,2016-09-01 21:30:21.000,38.0,1387.0,,,,3.0,,,numenta/nupic-legacy,,,,,,,,,,,,,,,,,,,, +360,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2023-06-16 19:20:32.486000,2023-01-31 19:40:04,3203.0,,1394.0,190.0,783.0,39.0,423.0,6004.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",131.0,28,True,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,['tensorflow'],,1075.0,593.0,581.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,12.0,903.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,7428.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +361,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2023-02-03 18:46:00.371000,2023-01-19 00:37:33,900.0,,1231.0,154.0,950.0,63.0,782.0,5698.0,Gluon CV Toolkit.,119.0,28,True,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,['mxnet'],,37530.0,82.0,21.0,https://pypi.org/project/gluoncv,2023-02-03 18:46:00.371,61.0,37530.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +362,keras-rl,keras-rl/keras-rl,reinforcement-learning,,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000,2023-09-17 12:33:41.000000,2019-11-11 22:14:54,308.0,,1368.0,207.0,158.0,44.0,227.0,5464.0,Deep Reinforcement Learning for Keras.,41.0,28,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,['tensorflow'],,2538.0,789.0,735.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,54.0,2538.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +363,layout-parser,Layout-Parser/layout-parser,image,,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000,2023-12-05 10:04:41.000000,2022-08-06 21:47:18,182.0,,410.0,69.0,58.0,86.0,55.0,4211.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,28,False,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,107746.0,1054.0,1050.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,4.0,107746.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +364,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2023-12-29 12:20:18.000000,2023-11-11 01:23:34,523.0,1.0,709.0,176.0,80.0,8.0,277.0,4118.0,A python wrapper for Alpha Vantage API for financial data.,42.0,28,True,2020-12-21 02:37:29.000,2.3.1,34.0,alpha_vantage,conda-forge/alpha_vantage,,,,20782.0,500.0,468.0,https://pypi.org/project/alpha_vantage,2020-12-21 02:36:15.000,32.0,20611.0,https://anaconda.org/conda-forge/alpha_vantage,2023-06-16 19:24:19.804,6185.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +365,Lasagne,Lasagne/Lasagne,ml-frameworks,,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000,2022-03-26 02:58:32.000000,2019-11-20 20:28:30,1161.0,,971.0,218.0,408.0,140.0,402.0,3848.0,Lightweight library to build and train neural networks in Theano.,72.0,28,False,2015-08-13 21:00:09.000,0.1,2.0,lasagne,,,,,1648.0,1289.0,1029.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,260.0,1648.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +366,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2023-06-16 13:24:02.087000,2023-02-26 20:07:33,189.0,,455.0,73.0,37.0,9.0,121.0,3743.0,Missing data visualization module for Python.,18.0,28,True,2023-02-26 20:11:59.371,0.5.2,26.0,missingno,conda-forge/missingno,,,,306139.0,14661.0,14518.0,https://pypi.org/project/missingno,2023-02-26 20:11:59.371,143.0,302072.0,https://anaconda.org/conda-forge/missingno,2023-06-16 13:24:02.087,317288.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +367,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2023-12-02 01:21:07.000000,2023-11-10 07:34:11,445.0,8.0,521.0,112.0,84.0,18.0,100.0,3336.0,Module for automatic summarization of text documents and HTML pages.,30.0,28,True,2022-10-23 16:42:18.783,0.11.0,16.0,sumy,conda-forge/sumy,,,,49676.0,2533.0,2423.0,https://pypi.org/project/sumy,2022-10-23 16:42:18.783,110.0,49442.0,https://anaconda.org/conda-forge/sumy,2023-06-16 19:26:28.563,7281.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +368,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2024-01-16 17:06:59.000000,2024-01-15 19:26:42,1148.0,37.0,457.0,60.0,690.0,1.0,506.0,3311.0,On-device wake word detection powered by deep learning.,37.0,28,True,2023-11-16 19:28:06.000,3.0.1,33.0,pvporcupine,,,,,4401.0,39.0,26.0,https://pypi.org/project/pvporcupine,2023-11-16 19:28:06.000,13.0,4401.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +369,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2023-07-08 17:08:15.000000,2022-04-29 04:19:24,1698.0,,399.0,47.0,1084.0,6.0,353.0,3201.0,Accelerated deep learning R&D.,104.0,28,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,['pytorch'],,49145.0,1094.0,1056.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,38.0,49145.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +370,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2024-01-10 22:28:30.000000,2023-09-10 15:15:16,1059.0,,234.0,62.0,112.0,6.0,266.0,3083.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,28,True,2023-09-10 19:39:46.000,0.3.2,22.0,vidgear,,,,964.0,10369.0,505.0,496.0,https://pypi.org/project/vidgear,2023-09-10 19:39:46.000,9.0,10353.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +371,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2024-01-08 10:33:13.792000,2024-01-08 08:58:52,1140.0,9.0,372.0,45.0,64.0,139.0,462.0,2865.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",25.0,28,True,2024-01-08 09:09:11.000,1.1.2,85.0,mljar-supervised,conda-forge/mljar-supervised,,,,4726.0,101.0,99.0,https://pypi.org/project/mljar-supervised,2024-01-08 09:06:58.000,2.0,4328.0,https://anaconda.org/conda-forge/mljar-supervised,2024-01-08 10:33:13.792,12365.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +372,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2024-01-06 17:57:28.000000,2024-01-06 17:57:28,619.0,2.0,325.0,47.0,120.0,60.0,135.0,2727.0,A python library for decision tree visualization and model interpretation.,26.0,28,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,118885.0,1042.0,1018.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,24.0,117188.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,64519.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +373,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2024-01-11 17:20:15.000000,2023-12-08 10:06:07,1517.0,39.0,307.0,39.0,317.0,36.0,146.0,2558.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,35.0,28,True,2023-12-08 10:36:46.000,2.4.1,37.0,shapash,,,['jupyter'],,4760.0,140.0,138.0,https://pypi.org/project/shapash,2023-12-08 10:36:46.000,2.0,4760.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +374,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,304.0,66.0,14.0,28.0,46.0,2200.0,Stand-alone language identification system.,9.0,28,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,298311.0,10035.0,9830.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000,205.0,298311.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +375,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2024-01-17 22:17:30.000000,2023-12-02 08:46:41,671.0,1.0,400.0,42.0,60.0,19.0,269.0,1820.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,28,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,33331.0,1370.0,1348.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,22.0,32585.0,https://anaconda.org/conda-forge/ogb,2023-06-16 19:21:31.692,29861.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +376,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2023-11-29 06:22:47.000000,2023-11-29 06:22:42,364.0,2.0,251.0,48.0,311.0,232.0,184.0,1704.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,42.0,28,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,['tensorflow'],,339942.0,286.0,285.0,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,1.0,339942.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +377,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2024-01-18 13:33:02.000000,2024-01-18 13:30:53,1470.0,135.0,317.0,29.0,1510.0,130.0,100.0,1629.0,Pytorch domain library for recommendation systems.,199.0,28,True,2023-10-05 17:21:59.000,0.5.0,77.0,torchrec-nightly-cpu,,,,,138.0,84.0,84.0,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,138.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +378,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2024-01-05 22:24:44.000000,2024-01-05 21:45:10,703.0,6.0,299.0,43.0,353.0,66.0,203.0,1541.0,Training PyTorch models with differential privacy.,74.0,28,True,2023-03-24 16:01:05.890,1.4.0,20.0,opacus,conda-forge/opacus,,['pytorch'],106.0,42748.0,735.0,716.0,https://pypi.org/project/opacus,2022-05-06 09:43:18.000,19.0,42219.0,https://anaconda.org/conda-forge/opacus,2023-06-18 08:40:32.992,12667.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +379,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2024-01-14 19:29:09.000000,2024-01-09 16:58:03,1445.0,131.0,65.0,17.0,269.0,24.0,51.0,1292.0,"Fast Open-Source Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java,..",27.0,28,True,2024-01-09 16:59:59.122,2.8.15,103.0,usearch,,,,860.0,48243.0,54.0,43.0,https://pypi.org/project/usearch,2024-01-09 17:27:36.000,3.0,40795.0,,,,3.0,,,,usearch,https://www.npmjs.com/package/usearch,2024-01-09 16:59:59.122,8.0,7336.0,unum/usearch,https://hub.docker.com/r/unum/usearch,2024-01-09 16:59:41.492259,1.0,58.0,,,,,,,,,, +380,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2023-11-26 03:27:34.000000,2020-10-14 13:22:39,167.0,,336.0,71.0,86.0,27.0,26.0,1191.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,28,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,23973.0,1418.0,1274.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,144.0,23610.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,25818.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +381,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2023-12-24 14:31:48.000000,2023-06-06 09:46:40,415.0,,325.0,39.0,300.0,23.0,200.0,1183.0,A research toolkit for particle swarm optimization in Python.,45.0,28,True,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,43537.0,346.0,332.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,14.0,43537.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +382,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2024-01-11 20:36:11.000000,2023-12-21 17:09:15,394.0,8.0,177.0,25.0,31.0,3.0,129.0,1163.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,28,True,2023-10-11 22:35:06.000,0.13.0,59.0,prince,conda-forge/prince-factor-analysis,,['sklearn'],,98553.0,491.0,481.0,https://pypi.org/project/prince,2023-10-11 22:35:06.000,10.0,98201.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,17642.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +383,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2024-01-06 21:01:38.000000,2024-01-06 21:00:20,484.0,14.0,106.0,23.0,323.0,29.0,255.0,1098.0,Extra blocks for scikit-learn pipelines.,62.0,28,True,2023-12-12 20:03:47.000,0.7.0,43.0,scikit-lego,conda-forge/scikit-lego,,['sklearn'],,30694.0,136.0,128.0,https://pypi.org/project/scikit-lego,2023-12-12 19:57:11.000,8.0,29659.0,https://anaconda.org/conda-forge/scikit-lego,2023-07-19 07:17:55.286,45545.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +384,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2024-01-10 09:27:27.000000,2023-08-01 13:02:51,2070.0,,214.0,42.0,583.0,83.0,431.0,950.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,41.0,28,False,2023-08-01 13:38:54.000,2.0.2,47.0,smac,conda-forge/smac,,,,63595.0,48.0,,https://pypi.org/project/smac,2023-08-01 13:30:07.000,48.0,63061.0,https://anaconda.org/conda-forge/smac,2023-08-11 21:35:06.370,18172.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +385,dask-ml,dask/dask-ml,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000,2023-06-27 23:50:02.000000,2023-03-24 22:04:13,811.0,,246.0,41.0,502.0,271.0,253.0,873.0,Scalable Machine Learning with Dask.,77.0,28,True,2023-03-24 22:06:04.422,2023.3.24,35.0,dask-ml,conda-forge/dask-ml,,,,185327.0,1012.0,938.0,https://pypi.org/project/dask-ml,2023-03-24 22:06:04.422,74.0,174749.0,https://anaconda.org/conda-forge/dask-ml,2023-06-16 13:24:06.152,793416.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +386,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2024-01-17 23:42:28.000000,2023-11-16 16:35:47,16528.0,16.0,359.0,44.0,1608.0,278.0,2954.0,833.0,An open-source application for biological image analysis.,143.0,28,True,2023-08-14 19:59:48.000,4.2.6,48.0,cellprofiler,,,,6437.0,622.0,21.0,20.0,https://pypi.org/project/cellprofiler,2023-08-14 19:14:28.000,1.0,569.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +387,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2024-01-08 13:33:30.000000,2024-01-08 13:19:20,1302.0,3.0,149.0,50.0,56.0,22.0,65.0,816.0,Computer Vision in Python.,34.0,28,True,2022-06-28 14:25:55.000,1.4.13,59.0,mahotas,conda-forge/mahotas,,,,16974.0,1320.0,1192.0,https://pypi.org/project/mahotas,2022-06-28 08:11:26.000,128.0,7878.0,https://anaconda.org/conda-forge/mahotas,2023-07-26 22:41:29.989,391158.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +388,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/JoaquinAmatRodrigo/skforecast,https://github.com/JoaquinAmatRodrigo/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2024-01-17 22:12:37.000000,2023-12-31 13:58:59,2670.0,218.0,94.0,10.0,509.0,17.0,91.0,781.0,Time series forecasting with scikit-learn models.,9.0,28,True,2023-11-16 21:42:02.000,0.11.0,25.0,skforecast,,,['sklearn'],,46446.0,239.0,233.0,https://pypi.org/project/skforecast,2023-11-16 21:34:56.000,6.0,46446.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +389,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2024-01-05 18:26:12.000000,2023-10-12 07:20:40,1894.0,,898.0,220.0,454.0,57.0,264.0,14763.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",48.0,27,True,2021-06-06 17:15:00.281,5.14.0,50.0,ciphey,,,,,31440.0,,,https://pypi.org/project/ciphey,2021-06-06 17:15:00.281,,31037.0,,,,2.0,,,,,,,,,remnux/ciphey,https://hub.docker.com/r/remnux/ciphey,2023-10-14 18:53:31.974373,14.0,21800.0,,,,,,,,,, +390,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-11-09 15:37:59.000000,2021-02-12 10:36:31,2184.0,,1137.0,179.0,213.0,23.0,533.0,8440.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,27,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,8469.0,235.0,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +391,pysc2,deepmind/pysc2,others,,https://github.com/google-deepmind/pysc2,https://github.com/google-deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2023-07-09 00:54:49.000000,2023-04-19 16:47:52,581.0,,1153.0,352.0,79.0,48.0,231.0,7868.0,StarCraft II Learning Environment.,39.0,27,True,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,30960.0,1550.0,691.0,665.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,1148.0,,,,3.0,,,google-deepmind/pysc2,,,,,,,,,,,,,,,,,,,, +392,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,pytorch-utils,,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000,2022-04-08 12:30:25.000000,2021-04-15 15:16:36,162.0,,1500.0,131.0,51.0,155.0,141.0,7645.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,27,False,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,['pytorch'],3631598.0,213412.0,44.0,1.0,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000,43.0,134465.0,,,,2.0,5.0,,,,,,,,,,,,,,,,,,,,,, +393,snownlp,isnowfy/snownlp,chinese-nlp,,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03,57.0,,1351.0,348.0,14.0,42.0,65.0,6261.0,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,17975.0,1323.0,1281.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,42.0,17975.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +394,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2023-10-06 08:13:53.418000,2023-01-27 13:12:44,652.0,,977.0,146.0,93.0,75.0,305.0,6103.0,A Python scikit for building and analyzing recommender systems.,45.0,27,True,2022-09-23 17:17:00.724,1.1.3,11.0,scikit-surprise,conda-forge/scikit-surprise,,,,145515.0,71.0,21.0,https://pypi.org/project/scikit-surprise,2022-09-23 17:17:00.724,50.0,137216.0,https://anaconda.org/conda-forge/scikit-surprise,2023-10-06 08:13:53.418,348568.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +395,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2023-10-22 09:33:23.000000,2023-10-22 09:33:23,779.0,1.0,1156.0,213.0,91.0,194.0,120.0,5556.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",28.0,27,True,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,8919.0,440.0,421.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,19.0,8919.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +396,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2024-01-18 09:43:40.000000,2024-01-16 12:00:49,13645.0,488.0,1559.0,142.0,3546.0,811.0,1053.0,5355.0,An Industrial Grade Federated Learning Framework.,100.0,27,True,2023-12-31 15:27:11.000,2.0.0,48.0,ETAF,,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +397,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2023-10-03 15:08:28.000000,2018-07-25 01:28:08,1796.0,,780.0,275.0,438.0,221.0,329.0,4804.0,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,27,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,['tensorflow'],16.0,292.0,344.0,304.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,40.0,292.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +398,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2024-01-10 22:04:02.000000,2023-10-05 16:17:35,6152.0,,513.0,154.0,1903.0,300.0,1327.0,4328.0,ArrayFire: a general purpose GPU library.,88.0,27,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,5206.0,769.0,7.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,7.0,719.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +399,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2023-06-16 19:25:16.902000,2022-04-01 13:57:36,131.0,,953.0,144.0,30.0,46.0,77.0,4168.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,27,False,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,163340.0,8016.0,7826.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,190.0,162942.0,https://anaconda.org/conda-forge/vadersentiment,2023-06-16 19:25:16.902,13559.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +400,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2023-08-21 13:36:56.000000,2021-05-10 18:34:53,57.0,,405.0,39.0,55.0,118.0,43.0,3913.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,27,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,['pytorch'],,124866.0,12454.0,12335.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,119.0,124866.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +401,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,distributed-ml,,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000,2023-07-10 10:34:11.000000,2023-04-27 20:08:56,632.0,,964.0,283.0,226.0,11.0,356.0,3861.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,27,True,2022-04-21 20:41:22.000,2.2.5,32.0,tensorflowonspark,conda-forge/tensorflowonspark,,"['tensorflow', 'spark']",,563777.0,5.0,,https://pypi.org/project/tensorflowonspark,2022-04-21 20:05:56.000,5.0,563353.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,20803.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +402,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2024-01-03 16:45:49.000000,2024-01-03 16:44:47,1195.0,3.0,400.0,83.0,54.0,57.0,202.0,3306.0,A library of reinforcement learning components and agents.,84.0,27,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,['tensorflow'],,1171.0,187.0,184.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,960.0,https://anaconda.org/conda-forge/dm-acme,2023-06-16 19:23:44.096,8051.0,2.0,,,google-deepmind/acme,,,,,,,,,,,,,,,,,,,, +403,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2023-06-05 03:00:37.000000,2022-12-13 03:52:09,2484.0,,455.0,83.0,245.0,61.0,154.0,3023.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,27,False,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,75.0,34662.0,171.0,169.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,2.0,34661.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +404,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2023-09-14 20:07:18.000000,2021-10-29 06:15:49,2535.0,,412.0,64.0,932.0,315.0,745.0,2838.0,StellarGraph - Machine Learning on Graphs.,36.0,27,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,['tensorflow'],,4385.0,256.0,248.0,https://pypi.org/project/stellargraph,2021-02-22 06:35:38.731,8.0,4385.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +405,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2024-01-18 14:32:47.000000,2024-01-17 12:19:07,512.0,15.0,506.0,34.0,689.0,66.0,582.0,2780.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",66.0,27,True,2024-01-09 12:13:07.000,hazelnut_toy_dataset,28.0,anomalib,,,,5407.0,7907.0,46.0,45.0,https://pypi.org/project/anomalib,2024-01-09 12:13:29.000,1.0,7691.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +406,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2023-12-04 12:10:57.449000,2023-11-29 13:26:08,135.0,8.0,264.0,52.0,19.0,34.0,97.0,2759.0,"Visualize and compare datasets, target values and associations, with one line of code.",11.0,27,True,2023-11-29 13:30:45.000,2.3.1,35.0,sweetviz,conda-forge/sweetviz,,,,55753.0,1961.0,1941.0,https://pypi.org/project/sweetviz,2023-11-29 13:27:52.000,20.0,54985.0,https://anaconda.org/conda-forge/sweetviz,2023-12-04 12:10:57.449,26913.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +407,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2023-09-26 21:01:12.000000,2023-09-26 21:01:10,548.0,,469.0,97.0,43.0,82.0,240.0,2697.0,Learning to Rank in TensorFlow.,33.0,27,True,2023-08-11 17:56:48.000,0.5.3,22.0,tensorflow_ranking,,,['tensorflow'],,81462.0,13.0,,https://pypi.org/project/tensorflow_ranking,2023-08-11 17:56:48.000,13.0,81462.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +408,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2023-12-27 10:07:19.000000,2023-12-27 10:07:15,3503.0,46.0,330.0,154.0,1163.0,20.0,59.0,2670.0,Neural Network Libraries.,73.0,27,True,2023-12-07 00:57:13.000,1.38.0,73.0,nnabla,,,,907.0,2196.0,,,https://pypi.org/project/nnabla,,,2185.0,,,,3.0,-3.0,,,,,,,,,,,,,,,,,,,,,, +409,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2024-01-10 03:27:56.000000,2024-01-10 03:27:56,1503.0,40.0,593.0,44.0,28.0,1.0,368.0,2663.0,An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.,31.0,27,True,2023-09-21 04:12:03.000,2.2.7,111.0,deepke,,,['pytorch'],,424.0,20.0,20.0,https://pypi.org/project/deepke,2023-09-21 04:12:03.000,,424.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +410,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2023-11-09 09:05:16.000000,2023-11-09 09:05:15,1698.0,2.0,413.0,45.0,350.0,32.0,345.0,2599.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",33.0,27,True,2022-04-02 15:26:45.000,3.3.3,70.0,foolbox,conda-forge/foolbox,,,,1790.0,564.0,550.0,https://pypi.org/project/foolbox,2022-04-02 15:26:45.000,14.0,1491.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,12560.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +411,IB-insync,erdewit/ib_insync,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000,2023-12-11 14:10:13.000000,2023-12-11 14:10:09,768.0,6.0,597.0,179.0,75.0,23.0,560.0,2543.0,Python sync/async framework for Interactive Brokers API.,36.0,27,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,28828.0,28.0,,https://pypi.org/project/ib_insync,2022-11-21 09:32:01.715,28.0,28122.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,38133.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +412,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2023-09-13 13:50:05.000000,2018-08-19 12:37:47,130.0,,282.0,67.0,59.0,26.0,39.0,2372.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,27,False,2018-08-19 12:25:39.290,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,['sklearn'],,429450.0,4421.0,4343.0,https://pypi.org/project/scikit-plot,2018-08-19 12:25:39.290,78.0,427298.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,167878.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +413,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000,2024-01-17 00:27:54.000000,2023-11-13 15:09:34,648.0,4.0,238.0,47.0,634.0,136.0,224.0,2253.0,Algorithms for explaining machine learning models.,19.0,27,True,2023-07-07 14:10:27.000,0.9.4,31.0,alibi,,,,,16244.0,575.0,549.0,https://pypi.org/project/alibi,2023-07-07 14:10:05.734,26.0,16244.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +414,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000,2023-11-10 03:06:08.000000,2020-09-22 22:35:28,271.0,,328.0,80.0,55.0,161.0,68.0,2226.0,Multilingual text (NLP) processing toolkit.,26.0,27,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,51967.0,1254.0,1161.0,https://pypi.org/project/polyglot,2021-12-15 16:11:38.716,93.0,51967.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +415,Hyperas,maxpumperla/hyperas,hyperopt,,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000,2023-01-05 06:02:49.000000,2023-01-05 06:02:49,213.0,,317.0,65.0,38.0,96.0,160.0,2163.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,True,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,['tensorflow'],,10124.0,356.0,332.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,24.0,10124.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +416,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,,2016-02-03 16:52:45.000,2023-09-22 23:38:28.000000,2023-04-03 00:19:55,1816.0,,255.0,92.0,124.0,33.0,230.0,2146.0,"NLP, before and after spaCy.",35.0,27,False,2023-04-02 23:06:15.139,0.13.0,32.0,textacy,conda-forge/textacy,,,,33413.0,1758.0,1643.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,115.0,31696.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,137361.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +417,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2023-12-06 14:39:14.000000,2023-08-22 16:20:29,468.0,,386.0,63.0,151.0,13.0,91.0,2079.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,27,True,2023-08-07 19:52:09.000,3.2.5,21.0,pytextrank,,,,,39605.0,576.0,559.0,https://pypi.org/project/pytextrank,2023-08-07 19:52:09.000,17.0,39605.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +418,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000,2024-01-17 07:19:49.000000,2023-11-13 15:09:30,712.0,3.0,202.0,34.0,522.0,134.0,234.0,2007.0,"Algorithms for outlier, adversarial and drift detection.",20.0,27,True,2023-07-07 12:16:02.615,0.11.4,36.0,alibi-detect,,,,,35083.0,413.0,407.0,https://pypi.org/project/alibi-detect,2023-07-07 12:16:02.615,6.0,35083.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +419,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2023-12-14 21:45:46.000000,2023-12-14 21:45:38,856.0,10.0,432.0,62.0,319.0,113.0,92.0,1842.0,Library for training machine learning models with privacy for training data.,58.0,27,True,2023-10-11 15:51:39.000,0.8.12,30.0,tensorflow-privacy,,,['tensorflow'],133.0,14747.0,14.0,,https://pypi.org/project/tensorflow-privacy,2023-10-11 15:51:39.000,14.0,14745.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +420,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2024-01-18 04:25:53.000000,2024-01-16 11:19:07,1718.0,226.0,118.0,29.0,124.0,18.0,20.0,1751.0,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,27,True,2023-09-10 04:20:57.000,0.4.168,144.0,labml,,,,,2221.0,129.0,123.0,https://pypi.org/project/labml,2023-09-10 04:20:57.000,6.0,2221.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +421,lightning-flash,Lightning-AI/lightning-flash,pytorch-utils,,https://github.com/Lightning-Universe/lightning-flash,https://github.com/Lightning-Universe/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000,2023-10-08 14:28:44.000000,2023-10-08 14:28:43,1157.0,,207.0,36.0,1081.0,25.0,496.0,1726.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,27,True,2023-06-30 13:37:19.283,0.8.2,40.0,lightning-flash,conda-forge/lightning-flash,,['pytorch'],,2241.0,264.0,261.0,https://pypi.org/project/lightning-flash,2022-05-11 18:17:54.000,3.0,1658.0,https://anaconda.org/conda-forge/lightning-flash,2023-07-04 02:12:18.993,16911.0,2.0,,,Lightning-Universe/lightning-flash,,,,,,,,,,,,,,,,,,,, +422,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2024-01-15 10:01:49.000000,2023-12-20 09:16:24,3727.0,23.0,259.0,28.0,548.0,90.0,672.0,1580.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,74.0,27,True,2023-07-28 14:24:47.000,0.4.0,7.0,avalanche-lib,,,,4.0,749.0,64.0,63.0,https://pypi.org/project/avalanche-lib,2023-07-28 14:24:47.000,1.0,749.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +423,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2023-10-27 06:20:12.000000,2023-10-20 21:52:11,1051.0,1.0,207.0,52.0,201.0,26.0,275.0,1543.0,A full spaCy pipeline and models for scientific/biomedical documents.,32.0,27,True,2023-09-30 19:50:08.000,0.5.3,10.0,scispacy,,,,,22740.0,822.0,822.0,https://pypi.org/project/scispacy,,,22740.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +424,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2024-01-18 11:22:15.000000,2024-01-18 11:22:11,6241.0,98.0,263.0,47.0,2502.0,307.0,1349.0,1491.0,cuGraph - RAPIDS Graph Analytics Library.,109.0,27,True,2023-12-06 19:21:19.000,23.12.00,33.0,cugraph,conda-forge/libcugraph,,,,687.0,4.0,2.0,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,2.0,149.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,17755.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +425,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930.0,,318.0,74.0,742.0,54.0,168.0,1477.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:40.000,0.13.1,25.0,chainercv,,,,,2341.0,411.0,380.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,31.0,2341.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +426,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2024-01-04 20:19:39.000000,2024-01-04 20:19:39,950.0,4.0,567.0,107.0,283.0,13.0,300.0,1471.0,Execute Python code on the fly and display results in Tableau visualizations:.,50.0,27,True,2023-06-28 20:49:21.000,2.9.0,31.0,tabpy,anaconda/tabpy-client,,,,15269.0,148.0,146.0,https://pypi.org/project/tabpy,2023-01-30 23:34:02.112,2.0,15214.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4457.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +427,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2024-01-12 22:30:52.418000,2023-10-05 18:36:18,1029.0,,167.0,18.0,62.0,24.0,322.0,1410.0,PyTorch Extension Library of Optimized Scatter Operations.,28.0,27,True,2023-10-06 08:49:07.000,2.1.2,32.0,torch-scatter,conda-forge/pytorch_scatter,,['pytorch'],,37083.0,84.0,,https://pypi.org/project/torch-scatter,2023-10-06 08:49:07.000,84.0,31556.0,https://anaconda.org/conda-forge/pytorch_scatter,2024-01-12 22:30:52.418,237662.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +428,metric-learn,scikit-learn-contrib/metric-learn,others,,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000,2023-10-09 07:21:10.000000,2023-09-29 00:13:39,295.0,,257.0,49.0,184.0,54.0,120.0,1358.0,Metric learning algorithms in Python.,22.0,27,True,2023-10-09 04:53:59.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,['sklearn'],,14393.0,355.0,342.0,https://pypi.org/project/metric-learn,2023-10-09 04:53:59.000,13.0,14131.0,https://anaconda.org/conda-forge/metric-learn,2023-10-09 05:53:11.819,11039.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +429,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2024-01-17 13:37:50.000000,2024-01-17 13:37:42,556.0,41.0,396.0,31.0,48.0,13.0,121.0,1337.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,28.0,27,False,2023-03-02 15:10:38.000,2.3.1,24.0,minisom,,,,,20735.0,535.0,514.0,https://pypi.org/project/minisom,2023-03-02 15:10:03.003,21.0,20735.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +430,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2023-11-29 23:41:32.898000,2023-11-29 13:48:39,684.0,4.0,157.0,24.0,124.0,2.0,128.0,1318.0,"Extensible, parallel implementations of t-SNE.",11.0,27,True,2023-11-29 14:50:50.000,1.0.1,27.0,opentsne,conda-forge/opentsne,,,,30855.0,730.0,712.0,https://pypi.org/project/opentsne,2023-11-29 14:45:37.000,18.0,25182.0,https://anaconda.org/conda-forge/opentsne,2023-11-29 23:41:32.898,232632.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +431,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2023-10-05 01:24:33.000000,2023-10-05 01:24:32,851.0,,262.0,75.0,481.0,38.0,198.0,1291.0,Underthesea - Vietnamese NLP Toolkit.,18.0,27,False,2023-09-22 23:57:31.000,6.8.0,125.0,underthesea,,,,5691.0,10270.0,922.0,895.0,https://pypi.org/project/underthesea,2023-09-22 23:50:49.000,27.0,10199.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +432,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2024-01-12 01:05:40.000000,2023-12-30 17:46:40,1015.0,10.0,107.0,26.0,114.0,28.0,52.0,1241.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",22.0,27,True,2023-10-05 02:21:28.000,1.4.1,44.0,imodels,,,,,23307.0,64.0,60.0,https://pypi.org/project/imodels,2023-10-05 02:20:48.000,4.0,23307.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +433,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2023-12-11 14:44:53.000000,2023-12-11 14:44:44,4204.0,4.0,285.0,84.0,640.0,16.0,607.0,1237.0,PySAL: Python Spatial Analysis Library Meta-Package.,78.0,27,True,2023-08-01 02:38:24.000,23.07,34.0,pysal,conda-forge/pysal,,,,29215.0,38.0,,https://pypi.org/project/pysal,2023-08-01 02:39:38.000,38.0,16614.0,https://anaconda.org/conda-forge/pysal,2023-10-04 23:43:19.864,529279.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +434,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2023-11-28 23:16:10.000000,2023-09-10 06:51:22,1752.0,,190.0,42.0,257.0,65.0,212.0,1203.0,Python audio and music signal processing library.,20.0,27,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,2191.0,424.0,391.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,33.0,2191.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +435,scikit-survival,sebp/scikit-survival,sklearn-utils,,https://github.com/sebp/scikit-survival,https://github.com/sebp/scikit-survival,GPL-3.0,2016-12-26 22:15:53.000,2024-01-14 11:20:45.000000,2024-01-14 11:20:42,1044.0,31.0,206.0,24.0,125.0,23.0,186.0,1026.0,Survival analysis built on top of scikit-learn.,18.0,27,False,2023-12-30 23:36:40.000,0.22.2,28.0,scikit-survival,conda-forge/scikit-survival,,['sklearn'],,39361.0,426.0,412.0,https://pypi.org/project/scikit-survival,2023-12-30 23:36:40.000,14.0,36644.0,https://anaconda.org/conda-forge/scikit-survival,2023-12-31 00:55:10.043,70648.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +436,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2024-01-08 08:18:46.000000,2024-01-08 08:17:25,796.0,18.0,110.0,29.0,399.0,67.0,306.0,974.0,BAyesian Model-Building Interface (Bambi) in Python.,36.0,27,True,2023-10-25 02:04:11.000,0.13.0,23.0,bambi,conda-forge/bambi,,,,14430.0,101.0,101.0,https://pypi.org/project/bambi,,,13662.0,https://anaconda.org/conda-forge/bambi,2023-10-27 17:16:55.433,28441.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +437,quinn,MrPowers/quinn,ml-experiments,,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000,2024-01-11 20:59:25.000000,2024-01-11 20:57:41,243.0,38.0,79.0,21.0,84.0,35.0,55.0,545.0,pyspark methods to enhance developer productivity.,24.0,27,True,2023-02-17 21:55:30.000,0.10.0,13.0,quinn,,,['spark'],9.0,833410.0,80.0,74.0,https://pypi.org/project/quinn,2023-02-17 21:54:00.812,6.0,833410.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +438,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,,4244.0,1257.0,557.0,755.0,2543.0,17423.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",274.0,26,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,14327.0,569.0,2.0,2.0,https://pypi.org/project/cntk,,,420.0,,,,3.0,-4.0,,,,,,,,,,,,,,,,,,,,,, +439,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2024-01-18 05:56:19.967362,,,,738.0,,,548.0,,7469.0,NumPy & SciPy for GPU.,303.0,26,True,2023-12-07 05:15:09.000,12.3.0,138.0,cupy,conda-forge/cupy,,,,91757.0,209.0,,https://pypi.org/project/cupy,2023-12-07 05:15:09.000,209.0,16909.0,https://anaconda.org/conda-forge/cupy,2024-01-12 16:22:08.521,3263173.0,3.0,-12.0,,,,,,,,cupy/cupy,https://hub.docker.com/r/cupy/cupy,2024-01-18 05:56:19.967362,11.0,58923.0,,,,,,,,,, +440,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2023-10-23 02:26:28.000000,2020-05-03 07:13:22,108.0,,609.0,140.0,31.0,66.0,54.0,5496.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,26,False,,,18.0,flashtext,conda-forge/flashtext,,,,1000116.0,1523.0,1475.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,48.0,999683.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,18216.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +441,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2023-12-05 20:52:12.000000,2023-11-08 00:58:38,213.0,4.0,293.0,67.0,179.0,22.0,54.0,4858.0,"A data augmentations library for audio, image, text, and video.",34.0,26,True,2023-12-05 20:52:12.000,1.0.1,18.0,augly,,,,,1389.0,100.0,96.0,https://pypi.org/project/augly,2023-12-05 20:52:12.000,4.0,1389.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +442,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2024-01-16 11:28:25.000000,2022-08-23 22:54:23,1046.0,,982.0,239.0,215.0,51.0,200.0,4322.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,26,False,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,607.0,52.0,51.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,509.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,3248.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +443,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2023-07-29 21:28:21.000000,2023-07-05 18:14:28,901.0,,548.0,103.0,617.0,89.0,606.0,4144.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,26,True,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,['sklearn'],,392301.0,86.0,,https://pypi.org/project/yellowbrick,2022-08-21 16:11:55.287,86.0,390508.0,https://anaconda.org/conda-forge/yellowbrick,2023-06-16 19:21:13.554,73515.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +444,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2023-11-02 03:20:32.000000,2023-11-02 03:20:28,249.0,1.0,806.0,51.0,50.0,62.0,106.0,3951.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,16.0,26,True,2023-04-07 19:27:35.000,2.5.3,32.0,facenet-pytorch,,,['pytorch'],757763.0,50819.0,1510.0,1491.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000,19.0,35664.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +445,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2023-10-28 04:01:29.000000,2023-09-01 03:04:11,1137.0,,713.0,62.0,1011.0,162.0,737.0,3895.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",90.0,26,True,2023-07-04 07:12:41.567,1.0.1,20.0,mmocr,,,['pytorch'],,4237.0,113.0,111.0,https://pypi.org/project/mmocr,2022-05-05 14:21:18.000,2.0,4237.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +446,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2024-01-10 12:41:25.000000,2023-10-12 08:57:51,209.0,,309.0,85.0,93.0,48.0,32.0,3436.0,Python library that makes it easy for data scientists to create charts.,25.0,26,True,2023-10-12 09:02:25.000,4.0.5,25.0,chartify,conda-forge/chartify,,,,3598.0,83.0,73.0,https://pypi.org/project/chartify,2023-10-12 09:02:25.000,10.0,3125.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,29365.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +447,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2024-01-16 16:25:33.000000,2023-11-08 16:40:21,1347.0,5.0,336.0,71.0,1250.0,91.0,81.0,3274.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,34.0,26,True,2023-11-08 16:44:23.000,1.0.2,11.0,lit-nlp,conda-forge/lit-nlp,,,,3838.0,26.0,25.0,https://pypi.org/project/lit-nlp,2023-11-08 16:44:23.000,1.0,2174.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,66564.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +448,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2023-08-14 20:14:15.000000,2023-08-14 20:14:08,2108.0,,538.0,145.0,237.0,35.0,631.0,3272.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,84.0,26,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,['tensorflow'],,488.0,434.0,432.0,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,2.0,488.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +449,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2024-01-10 19:28:44.000000,2024-01-10 18:54:14,456.0,8.0,272.0,48.0,449.0,61.0,252.0,3268.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,39.0,26,True,2024-01-08 18:51:52.000,0.4.10,23.0,hummingbird-ml,conda-forge/hummingbird-ml,,,359.0,8552.0,4.0,,https://pypi.org/project/hummingbird-ml,2024-01-08 18:51:52.000,4.0,7439.0,https://anaconda.org/conda-forge/hummingbird-ml,2024-01-08 20:24:23.326,37572.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +450,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2023-12-18 12:05:47.000000,2023-11-25 05:36:27,4323.0,35.0,557.0,41.0,994.0,198.0,669.0,3035.0,"A unified, comprehensive and efficient recommendation library.",70.0,26,True,2023-11-04 11:23:19.000,1.2.0,10.0,recbole,aibox/recbole,,['pytorch'],,1833.0,2.0,,https://pypi.org/project/recbole,2023-10-31 12:52:34.000,2.0,1718.0,https://anaconda.org/aibox/recbole,2023-11-01 15:53:42.380,4391.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +451,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2023-12-19 18:37:18.000000,2023-12-19 18:37:18,17589.0,1.0,1018.0,218.0,3649.0,415.0,1111.0,2981.0,Unified and efficient Machine Learning.,248.0,26,True,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,,,,1659.0,,,,,,,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,128702.0,3.0,,,,,,,,,shogun/shogun,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1504.0,shogun,,,,,,,,, +452,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2023-06-16 16:09:06.563000,2020-04-27 18:40:41,522.0,,1007.0,167.0,214.0,42.0,146.0,2953.0,Performance analysis of predictive (alpha) stock factors.,25.0,26,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,2219.0,687.0,669.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,18.0,1935.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,20230.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +453,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2023-06-16 13:18:29.838000,2020-01-22 07:39:36,1198.0,,329.0,66.0,167.0,164.0,113.0,2706.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,26,False,2022-05-11 09:37:12.000,0.13.0,30.0,eli5,conda-forge/eli5,,,,420272.0,90.0,,https://pypi.org/project/eli5,2022-05-11 09:37:12.000,90.0,418439.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,146654.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +454,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2023-11-01 10:12:46.000000,2022-10-05 16:26:03,376.0,,216.0,48.0,481.0,45.0,70.0,2677.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,26,False,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,62.0,15281.0,199.0,196.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,15280.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +455,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2023-06-23 10:52:46.000000,2020-03-16 04:26:47,75.0,,217.0,65.0,42.0,17.0,23.0,2659.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,26,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,80953.0,871.0,866.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,80675.0,https://anaconda.org/conda-forge/knockknock,2023-06-16 16:18:44.705,14222.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +456,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2024-01-09 13:24:17.000000,2024-01-09 13:23:57,3440.0,6.0,513.0,109.0,339.0,406.0,665.0,2610.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",79.0,26,False,2015-03-31 16:33:30.000,2.0,20.0,essentia,,,,,3977.0,575.0,559.0,https://pypi.org/project/essentia,2023-10-27 09:13:56.000,16.0,3977.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +457,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2023-10-06 04:01:21.000000,2022-12-25 20:52:27,843.0,,519.0,99.0,1045.0,260.0,297.0,2551.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",86.0,26,False,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,['mxnet'],,71783.0,22.0,,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,71783.0,,,,3.0,-3.0,,,,,,,,,,,,,,,,,,,,,, +458,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2024-01-04 04:06:44.000000,2023-07-23 14:42:27,191.0,,449.0,38.0,238.0,52.0,277.0,2401.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,26,True,2023-07-23 13:34:05.000,4.1.0,19.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,['pytorch'],,30590.0,11.0,,https://pypi.org/project/pytorch-tabnet,2023-07-23 13:26:57.000,11.0,30348.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-12-20 04:10:30.919,6067.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +459,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2023-11-17 18:46:16.000000,2022-09-28 17:12:28,249.0,,271.0,27.0,316.0,74.0,37.0,2350.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,17.0,26,False,2022-09-28 08:51:19.531,0.2.12,12.0,lazypredict,conda-forge/lazypredict,,['sklearn'],,15738.0,786.0,785.0,https://pypi.org/project/lazypredict,2022-09-28 08:51:19.531,1.0,15645.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,2722.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +460,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2023-06-01 22:20:25.000000,2023-06-01 22:10:29,1131.0,,335.0,44.0,57.0,66.0,201.0,2315.0,Graph Neural Networks with Keras and Tensorflow 2.,27.0,26,True,2023-06-01 22:20:25.000,1.3,34.0,spektral,,,['tensorflow'],,6642.0,264.0,258.0,https://pypi.org/project/spektral,2023-06-01 22:17:00.684,6.0,6642.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +461,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapters,https://github.com/adapter-hub/adapters,Apache-2.0,2020-04-21 16:21:43.000,2024-01-13 14:43:36.000000,2024-01-09 20:57:18,83.0,29.0,310.0,28.0,278.0,41.0,309.0,2263.0,A Unified Library for Parameter-Efficient and Modular Transfer Learning.,6.0,26,True,2024-01-09 21:16:07.000,0.1.1,19.0,adapter-transformers,,,['huggingface'],,16001.0,21.0,14.0,https://pypi.org/project/adapter-transformers,2023-12-16 14:14:02.000,7.0,16001.0,,,,3.0,,,adapter-hub/adapters,,,,,,,,,,,,,,,,,,,, +462,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2024-01-11 19:35:27.000000,2023-11-21 19:33:43,419.0,3.0,782.0,93.0,267.0,165.0,95.0,2234.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",70.0,26,True,2022-09-03 03:41:16.000,0.5.0,10.0,aif360,conda-forge/aif360,,,,7246.0,369.0,355.0,https://pypi.org/project/aif360,2022-09-03 03:40:40.010,14.0,7051.0,https://anaconda.org/conda-forge/aif360,2023-10-14 06:57:34.052,7830.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +463,Neural Tangents,google/neural-tangents,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000,2023-12-11 14:10:11.000000,2023-12-11 01:57:13,644.0,9.0,236.0,66.0,31.0,60.0,92.0,2170.0,Fast and Easy Infinite Neural Networks in Python.,29.0,26,True,2023-12-11 14:10:12.000,0.6.5,31.0,neural-tangents,,,,355.0,1213.0,92.0,91.0,https://pypi.org/project/neural-tangents,2023-12-11 14:00:20.000,1.0,1205.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +464,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2024-01-17 21:16:07.000000,2023-06-01 12:18:23,739.0,,357.0,43.0,43.0,96.0,56.0,2090.0,A modular active learning framework for Python.,20.0,26,True,2024-01-17 21:16:07.000,0.56.4649,507.0,modAL,,,['sklearn'],29.0,147256.0,38.0,27.0,https://pypi.org/project/modAL,2024-01-17 21:16:07.000,11.0,147256.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +465,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2023-09-09 21:39:29.000000,2021-07-09 11:06:18,56.0,,489.0,41.0,24.0,66.0,38.0,2083.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",15.0,26,False,2021-07-09 11:16:39.000,0.1.1,11.0,mtcnn,conda-forge/mtcnn,,['tensorflow'],,45737.0,4590.0,4539.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000,51.0,45504.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,10985.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +466,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-12-02 05:11:31.000000,2023-12-02 05:11:31,691.0,1.0,275.0,41.0,495.0,172.0,151.0,1712.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,50.0,26,True,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,433.0,24235.0,153.0,145.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,8.0,24229.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +467,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2023-09-11 22:28:27.000000,2023-06-20 13:16:50,391.0,,156.0,25.0,81.0,42.0,34.0,1640.0,A Python package for time series classification.,14.0,26,True,2023-06-18 12:36:11.801,0.13.0,19.0,pyts,conda-forge/pyts,,,,102995.0,544.0,525.0,https://pypi.org/project/pyts,2021-10-31 13:51:09.000,19.0,102175.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,22142.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +468,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2024-01-18 05:50:06.000000,2024-01-18 03:20:38,790.0,87.0,251.0,47.0,615.0,36.0,63.0,1594.0,A lightweight library for PyTorch training tools and utilities.,108.0,26,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,['pytorch'],,5539.0,38.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,38.0,5539.0,,,,3.0,6.0,,,,,,,,,,,,,,,,,,,,,, +469,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-12-11 05:15:14.000000,2023-09-26 07:34:28,1378.0,,309.0,27.0,379.0,89.0,120.0,1555.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,26,True,2023-09-26 07:49:38.000,2.2.6,21.0,pgl,,,['paddle'],,526.0,52.0,50.0,https://pypi.org/project/pgl,2023-09-26 07:49:38.000,2.0,526.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +470,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-11-17 19:39:54.000000,2023-11-17 19:39:45,658.0,1.0,259.0,50.0,312.0,99.0,17.0,1496.0,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,26,True,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,['tensorflow'],,19191.0,915.0,885.0,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,30.0,19191.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +471,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2023-11-29 15:04:03.000000,2023-08-12 06:34:27,161.0,,263.0,49.0,87.0,22.0,188.0,1474.0,"Genetic Programming in Python, with a scikit-learn inspired API.",11.0,26,True,2022-05-03 10:56:08.000,0.4.2,7.0,gplearn,conda-forge/gplearn,,['sklearn'],,5402.0,510.0,494.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,16.0,5253.0,https://anaconda.org/conda-forge/gplearn,2023-06-16 19:20:25.471,6440.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +472,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2024-01-08 22:17:52.000000,2023-06-07 07:35:59,3033.0,,118.0,37.0,334.0,11.0,187.0,1413.0,Multi-class confusion matrix library in Python.,17.0,26,True,2023-06-07 14:06:28.000,4.0,44.0,pycm,,,,,57019.0,284.0,266.0,https://pypi.org/project/pycm,2023-06-07 14:08:01.991,18.0,57019.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +473,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2023-10-25 17:26:07.000000,2021-10-21 17:45:17,202.0,,173.0,26.0,36.0,1.0,116.0,1213.0,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,26,False,2021-10-21 17:50:40.000,0.7.0,29.0,fancyimpute,,,['sklearn'],,22275.0,1543.0,1510.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,33.0,22275.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +474,Streamz,python-streamz/streamz,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000,2023-06-16 13:22:22.238000,2022-12-22 14:52:10,805.0,,144.0,35.0,214.0,109.0,152.0,1209.0,Real-time stream processing for python.,48.0,26,False,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,26865.0,482.0,442.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,40.0,16874.0,https://anaconda.org/conda-forge/streamz,2023-06-16 13:22:22.238,759335.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +475,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-12-20 21:48:32.000000,2023-10-12 14:56:47,1107.0,,238.0,37.0,68.0,54.0,206.0,1200.0,A toolbox to iNNvestigate neural networks predictions!.,20.0,26,True,2023-10-12 14:58:48.000,2.1.2,8.0,innvestigate,,,['tensorflow'],91.0,553.0,116.0,114.0,https://pypi.org/project/innvestigate,2023-10-12 14:55:59.000,2.0,548.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +476,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/google-deepmind/rlax,https://github.com/google-deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2023-11-24 11:08:54.000000,2023-11-24 11:08:47,208.0,1.0,80.0,34.0,109.0,12.0,18.0,1144.0,A library of reinforcement learning building blocks in JAX.,21.0,26,True,2023-06-29 15:05:00.621,0.1.6,10.0,rlax,,,['jax'],,966856.0,201.0,199.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,2.0,966856.0,,,,3.0,,,google-deepmind/rlax,,,,,,,,,,,,,,,,,,,, +477,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2024-01-16 18:20:37.000000,2024-01-16 18:20:35,1996.0,212.0,80.0,18.0,726.0,69.0,175.0,1025.0,"MetricFlow allows you to define, build, and maintain metrics in code.",42.0,26,False,2024-01-13 02:11:53.000,0.204.0,73.0,metricflow,,,,,19748.0,15.0,12.0,https://pypi.org/project/metricflow,2024-01-13 02:06:41.000,3.0,19748.0,,,,3.0,,,dbt-labs/metricflow,,,,,,,,,,,,,,,,,,,, +478,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2023-11-24 07:58:55.401000,2023-11-09 17:20:43,139.0,2.0,107.0,21.0,103.0,35.0,73.0,1020.0,Python 3.8+ toolbox for submitting jobs to Slurm.,23.0,26,True,2023-11-09 17:23:02.000,1.5.1,23.0,submitit,conda-forge/submitit,,,,300121.0,2043.0,2023.0,https://pypi.org/project/submitit,2023-11-09 17:23:02.000,20.0,299307.0,https://anaconda.org/conda-forge/submitit,2023-11-24 07:58:55.401,33383.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +479,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2023-11-08 21:55:22.000000,2023-11-08 21:55:22,1142.0,2.0,236.0,62.0,245.0,22.0,346.0,943.0,Search and download Copernicus Sentinel satellite images.,43.0,26,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,262.0,18346.0,567.0,527.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,40.0,17633.0,https://anaconda.org/conda-forge/sentinelsat,2023-06-16 19:22:55.678,27753.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +480,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2023-06-16 13:16:30.947000,2023-02-20 00:24:10,1723.0,,185.0,40.0,173.0,61.0,174.0,913.0,A Jupyter - Three.js bridge.,30.0,26,True,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,['jupyter'],,50666.0,99.0,29.0,https://pypi.org/project/pythreejs,2023-02-20 00:24:01.104,58.0,42315.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,519233.0,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2023-02-20 00:16:17.277,12.0,2708.0,,,,,,,,,,,,,,, +481,scikit-multilearn,scikit-multilearn/scikit-multilearn,sklearn-utils,,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000,2023-08-25 16:48:20.000000,2023-04-19 21:43:19,547.0,,174.0,35.0,85.0,88.0,122.0,888.0,A scikit-learn based module for multi-label et. al. classification.,28.0,26,True,2018-12-10 16:24:47.000,0.2.0,7.0,scikit-multilearn,,,['sklearn'],,48337.0,1437.0,1413.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,24.0,48337.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +482,Plotly-Resampler,predict-idlab/plotly-resampler,data-viz,,https://github.com/predict-idlab/plotly-resampler,https://github.com/predict-idlab/plotly-resampler,MIT,2021-11-20 10:51:56.000,2024-01-14 18:53:26.000000,2024-01-14 18:36:42,769.0,14.0,56.0,13.0,124.0,43.0,109.0,880.0,Visualize large time series data with plotly.py.,11.0,26,True,2024-01-14 18:45:33.000,0.9.2,61.0,plotly-resampler,conda-forge/plotly-resampler,,,,373220.0,806.0,795.0,https://pypi.org/project/plotly-resampler,2024-01-14 18:35:43.000,11.0,371837.0,https://anaconda.org/conda-forge/plotly-resampler,2023-12-08 19:11:32.078,33205.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +483,ml-metadata,google/ml-metadata,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000,2024-01-16 23:12:20.000000,2024-01-16 23:12:19,834.0,12.0,123.0,29.0,85.0,29.0,75.0,577.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,19.0,26,True,2023-08-10 00:37:12.000,1.14.0,42.0,ml-metadata,,,,2119.0,52795.0,400.0,376.0,https://pypi.org/project/ml-metadata,2023-08-10 00:37:12.000,24.0,52759.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +484,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2024-01-18 11:19:03.000000,2024-01-16 07:55:53,560.0,10.0,151.0,31.0,175.0,8.0,98.0,549.0,Machine learning for multivariate data analysis through the Riemannian geometry of symmetric or Hermitian positive..,29.0,26,True,2023-06-20 08:57:52.000,0.5,11.0,pyriemann,conda-forge/pyriemann,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],,15609.0,321.0,301.0,https://pypi.org/project/pyriemann,2022-07-17 13:53:18.565,20.0,15351.0,https://anaconda.org/conda-forge/pyriemann,2023-06-20 10:39:38.006,4905.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +485,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2024-01-17 09:09:39.000000,2023-08-23 17:20:54,1241.0,,152.0,19.0,695.0,25.0,208.0,472.0,A package built to support working with spatial data using open source python.,44.0,26,True,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,5347.0,297.0,280.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,4098.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,71234.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +486,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000,2023-09-25 19:44:09.000000,2019-12-05 08:17:22,46.0,,210.0,22.0,17.0,45.0,23.0,423.0,scikit-learn inspired API for CRFsuite.,6.0,26,False,2017-06-22 18:49:27.000,0.3.6,9.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,['sklearn'],,199930.0,7588.0,7304.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000,284.0,199048.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,39710.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +487,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,,2010-05-02 10:00:33.000,2023-12-26 16:13:16.000000,2023-12-26 16:13:16,6706.0,58.0,143.0,36.0,394.0,37.0,134.0,364.0,Neuroimaging in Python FMRI analysis package.,69.0,26,False,2023-12-21 16:45:52.000,0.6.0,8.0,nipy,conda-forge/nipy,,,,4804.0,270.0,219.0,https://pypi.org/project/nipy,2023-12-21 16:45:52.000,51.0,3444.0,https://anaconda.org/conda-forge/nipy,2023-06-16 13:21:17.395,106098.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +488,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2023-12-07 17:31:04.000000,2023-11-15 06:26:56,1617.0,2.0,808.0,148.0,1561.0,114.0,125.0,7865.0,Trax Deep Learning with Clear Code and Speed.,79.0,25,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,2769.0,135.0,134.0,https://pypi.org/project/trax,2021-10-26 20:29:00.538,1.0,2769.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +489,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2023-10-03 15:31:03.000000,2022-09-22 23:59:07,1084.0,,979.0,182.0,327.0,334.0,292.0,5767.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,25,False,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,3718.0,278.0,121.0,118.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,3.0,228.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +490,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2023-10-16 20:29:38.000000,2023-03-29 07:02:37,553.0,,867.0,124.0,63.0,136.0,74.0,4997.0,Image augmentation library in Python for machine learning.,23.0,25,True,2023-03-29 07:06:01.465,0.2.12,24.0,Augmentor,,,,,6769.0,723.0,694.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,29.0,6769.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +491,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2023-12-19 09:38:24.000000,2023-04-28 16:55:30,521.0,,430.0,60.0,90.0,48.0,88.0,4843.0,Finding duplicate images made easy!.,15.0,25,True,2023-04-28 17:29:01.612,0.3.2,12.0,imagededup,,,['tensorflow'],,12635.0,88.0,83.0,https://pypi.org/project/imagededup,2023-04-28 17:29:01.612,5.0,12635.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +492,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2024-01-18 13:51:23.000000,2024-01-18 13:51:22,3409.0,123.0,601.0,94.0,3761.0,296.0,1259.0,4764.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,88.0,25,True,2024-01-03 11:39:27.000,1.33.0,73.0,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +493,Lucid,tensorflow/lucid,interpretability,,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000,2023-02-06 16:41:16.000000,2021-03-19 15:48:33,667.0,,658.0,159.0,130.0,83.0,101.0,4594.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,['tensorflow'],,453.0,761.0,755.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,453.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +494,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2024-01-13 08:14:49.000000,2022-07-29 10:37:24,205.0,,993.0,93.0,63.0,250.0,269.0,4520.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,25,False,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,['tensorflow'],,15198.0,28.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000,28.0,15198.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +495,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-11-13 07:16:00.000000,2023-03-05 22:07:59,1158.0,,1370.0,350.0,59.0,51.0,,4232.0,Python Algorithmic Trading Library.,11.0,25,True,,,8.0,pyalgotrade,,,,,595.0,202.0,181.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,21.0,595.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +496,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2024-01-16 13:26:41.000000,2023-05-06 14:09:10,264.0,,421.0,41.0,52.0,73.0,174.0,4009.0,An Open-Source Framework for Prompt-Learning.,22.0,25,True,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,818.0,97.0,95.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,2.0,818.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +497,Snips NLU,snipsco/snips-nlu,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000,2023-05-22 16:10:15.000000,2021-05-03 12:18:31,2154.0,,511.0,137.0,649.0,66.0,197.0,3852.0,Snips Python library to extract meaning from text.,22.0,25,False,2020-01-15 10:13:17.000,0.20.2,58.0,snips-nlu,,,,,1334.0,13.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,13.0,1334.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +498,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2024-01-06 08:42:15.000000,2024-01-06 08:37:53,173.0,4.0,445.0,91.0,78.0,65.0,137.0,3329.0,Generate embeddings from large-scale graph-structured data.,31.0,25,True,2019-10-14 16:45:11.000,1.0.0,4.0,torchbiggraph,,,['pytorch'],167.0,278949.0,3.0,,https://pypi.org/project/torchbiggraph,2019-10-14 16:44:41.000,3.0,278947.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +499,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2023-12-29 19:06:22.000000,2023-10-30 16:34:46,179.0,1.0,367.0,163.0,83.0,87.0,100.0,3080.0,A deep learning library for video understanding research.,55.0,25,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,['pytorch'],,117859.0,7.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,7.0,117859.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +500,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2023-12-09 00:22:24.000000,2023-12-09 00:22:24,2360.0,9.0,680.0,165.0,60.0,7.0,698.0,2999.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,28.0,25,True,2023-10-23 21:02:38.000,1.6.0,20.0,,bioconda/deepvariant,,['tensorflow'],4698.0,908.0,,,,,,,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,60781.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +501,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2023-12-05 02:50:26.000000,2023-12-04 04:34:26,1573.0,7.0,246.0,42.0,2014.0,3.0,645.0,2908.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,34.0,25,True,2023-12-05 02:33:36.000,1.1.3,26.0,towhee,,,,2617.0,3134.0,,,https://pypi.org/project/towhee,2023-12-04 07:25:10.000,,3030.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +502,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2023-06-16 19:17:56.088000,2021-06-22 10:51:48,116.0,,469.0,98.0,49.0,59.0,253.0,2779.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,False,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,888.0,2426.0,703.0,679.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,24.0,2097.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,14965.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +503,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2024-01-10 07:43:27.000000,2023-07-19 07:40:10,212.0,,135.0,29.0,200.0,18.0,73.0,2644.0,HiPlot makes understanding high dimensional data easy.,9.0,25,True,2022-05-31 09:00:35.000,0.1.33,113.0,hiplot,conda-forge/hiplot,,,,29128.0,386.0,371.0,https://pypi.org/project/hiplot,2022-07-05 08:51:12.000,15.0,25443.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,173227.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +504,Enigma Catalyst,scrtlabs/catalyst,financial-data,,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000,2022-11-26 14:07:55.000000,2021-09-22 15:31:55,6364.0,,707.0,167.0,94.0,134.0,358.0,2452.0,An Algorithmic Trading Library for Crypto-Assets in Python.,151.0,25,False,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,140.0,27.0,25.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,140.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +505,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,graph,,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000,2023-12-28 14:21:46.000000,2023-07-01 21:40:58,1936.0,,325.0,40.0,85.0,20.0,157.0,2381.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,28.0,25,True,2022-09-04 16:37:07.000,0.54.0,46.0,torch-geometric-temporal,,,['pytorch'],,1622.0,4.0,,https://pypi.org/project/torch-geometric-temporal,2022-09-04 16:10:00.738,4.0,1622.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +506,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2023-09-05 06:09:07.000000,2023-09-05 06:09:05,385.0,,280.0,56.0,14.0,21.0,78.0,2180.0,Beautiful visualizations of how language differs among document types.,14.0,25,True,2023-04-18 01:25:02.819,0.1.19,148.0,scattertext,conda-forge/scattertext,,,,13314.0,497.0,487.0,https://pypi.org/project/scattertext,2023-04-18 01:25:02.819,10.0,12201.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,85750.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +507,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2024-01-11 19:00:35.000000,2023-07-11 07:11:36,210.0,,236.0,46.0,88.0,18.0,115.0,2073.0,A Python library that helps data scientists to infer causation rather than observing correlation.,35.0,25,True,2023-06-22 13:11:59.629,0.12.1,20.0,causalnex,,,"['pytorch', 'sklearn']",,2075.0,109.0,106.0,https://pypi.org/project/causalnex,2023-06-22 13:11:59.629,3.0,2075.0,,,,3.0,,,mckinsey/causalnex,,,,,,,,,,,,,,,,,,,, +508,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2023-06-20 17:42:42.000000,2023-06-20 17:42:34,12566.0,,84.0,41.0,47.0,12.0,74.0,2060.0,The friendly PIL fork.,385.0,25,False,,,47.0,pillow-simd,,,,,49240.0,55.0,,https://pypi.org/project/pillow-simd,2022-01-04 16:11:51.000,55.0,49240.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +509,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2023-06-16 19:23:39.686000,2021-07-16 09:03:20,66.0,,463.0,39.0,42.0,64.0,58.0,2047.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,25,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,['tensorflow'],253482.0,58743.0,1929.0,1915.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,54205.0,https://anaconda.org/anaconda/efficientnet,2023-06-16 19:23:39.686,471.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +510,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2024-01-09 01:46:07.000000,2023-09-26 17:27:56,255.0,,198.0,29.0,65.0,35.0,83.0,1966.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,25,True,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,['jupyter'],,6525.0,309.0,302.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,7.0,6338.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,6741.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +511,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2023-08-06 22:24:12.000000,2022-02-12 02:32:06,1636.0,,160.0,61.0,66.0,65.0,129.0,1796.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,False,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,30.0,417.0,366.0,356.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,10.0,417.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +512,garage,rlworkgroup/garage,reinforcement-learning,,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000,2023-05-04 14:44:22.000000,2023-01-04 06:06:27,1221.0,,299.0,56.0,1313.0,233.0,810.0,1779.0,A toolkit for reproducible reinforcement learning research.,79.0,25,True,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,['tensorflow'],,565.0,100.0,98.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,2.0,565.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +513,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2023-11-18 16:28:54.000000,2023-10-07 11:26:54,2816.0,,168.0,26.0,660.0,109.0,434.0,1434.0,A Python library for learning and evaluating knowledge graph embeddings.,36.0,25,True,2023-02-22 18:29:02.145,1.10.1,46.0,pykeen,,,,177.0,3157.0,5.0,,https://pypi.org/project/pykeen,2023-02-22 18:29:02.145,5.0,3153.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +514,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2023-09-27 15:14:50.000000,2023-09-27 15:14:33,667.0,,159.0,47.0,161.0,19.0,378.0,1291.0,moDel Agnostic Language for Exploration and eXplanation.,24.0,25,False,2023-02-16 21:26:00.740,1.6.0,26.0,dalex,conda-forge/dalex,,,,18340.0,153.0,148.0,https://pypi.org/project/dalex,2022-09-07 14:45:39.364,5.0,18023.0,https://anaconda.org/conda-forge/dalex,2023-06-16 19:24:13.607,11438.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +515,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2023-11-06 16:35:44.000000,2023-11-06 15:20:05,206.0,2.0,322.0,49.0,43.0,94.0,,1290.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,18.0,25,True,2023-11-06 16:35:44.000,0.9.3,33.0,keras-ocr,anaconda/keras-ocr,,['tensorflow'],784120.0,44869.0,403.0,395.0,https://pypi.org/project/keras-ocr,2023-11-06 16:35:44.000,8.0,25259.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,301.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +516,livelossplot,stared/livelossplot,ml-experiments,,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000,2022-07-15 12:45:07.000000,2022-04-04 16:13:36,330.0,,141.0,29.0,63.0,7.0,70.0,1273.0,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,25,False,2022-04-04 16:14:08.000,0.5.5,25.0,livelossplot,,,['jupyter'],,8763.0,1332.0,1319.0,https://pypi.org/project/livelossplot,2022-04-04 16:14:08.000,13.0,8763.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +517,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2024-01-05 18:00:58.000000,2024-01-05 18:00:58,67.0,1.0,289.0,55.0,63.0,12.0,109.0,1204.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,10.0,25,True,2023-07-30 07:07:37.000,0.6.2,24.0,stockstats,,,,,9223.0,1004.0,974.0,https://pypi.org/project/stockstats,2023-07-30 07:07:37.000,30.0,9223.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +518,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2024-01-18 05:24:14.000000,2023-12-29 01:39:31,1852.0,79.0,364.0,55.0,473.0,156.0,250.0,1009.0,Machine learning on FPGAs using HLS.,58.0,25,True,2023-12-19 21:00:58.000,0.8.1,16.0,hls4ml,conda-forge/hls4ml,,"['tensorflow', 'pytorch']",,914.0,,,https://pypi.org/project/hls4ml,2023-12-19 21:00:58.000,,735.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,7172.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +519,Neural Structured Learning,tensorflow/neural-structured-learning,tensorflow-utils,,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000,2023-09-20 15:32:40.000000,2023-09-20 15:32:36,567.0,,191.0,49.0,61.0,1.0,68.0,974.0,Training neural models with structured signals.,38.0,25,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,['tensorflow'],,13566.0,412.0,409.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,13566.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +520,GPyOpt,SheffieldML/GPyOpt,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000,2023-01-17 18:04:41.000000,2023-01-17 18:04:41,515.0,,254.0,42.0,72.0,103.0,188.0,905.0,Gaussian Process Optimization using GPy.,50.0,25,True,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,5883.0,517.0,479.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,38.0,5883.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +521,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2024-01-18 12:34:34.000000,2024-01-18 12:31:17,1460.0,134.0,56.0,13.0,371.0,13.0,436.0,896.0,dstack is an open-source toolkit for running GPU workloads on any cloud. It works seamlessly with any cloud GPU..,14.0,25,True,2024-01-17 12:51:18.000,0.13.1,165.0,dstack,,,,,1783.0,13.0,13.0,https://pypi.org/project/dstack,2024-01-16 10:51:28.000,,1783.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +522,tinytag,devsnd/tinytag,audio,,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000,2023-11-30 08:29:05.000000,2023-10-26 19:25:33,460.0,4.0,101.0,23.0,86.0,15.0,94.0,643.0,"Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave and AIFF files with python 2..",26.0,25,True,2023-10-26 19:30:36.000,1.10.1,41.0,tinytag,,,,,22376.0,111.0,,https://pypi.org/project/tinytag,2023-10-26 19:30:36.000,111.0,22376.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +523,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2024-01-05 14:00:12.000000,2024-01-04 15:51:23,470.0,4.0,50.0,8.0,53.0,161.0,231.0,565.0,python binding for libvips using cffi.,16.0,25,True,2024-01-04 12:00:44.000,2.2.2,25.0,pyvips,conda-forge/pyvips,,,,54106.0,697.0,647.0,https://pypi.org/project/pyvips,2024-01-04 12:00:44.000,50.0,52270.0,https://anaconda.org/conda-forge/pyvips,2023-09-26 03:23:28.071,71615.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +524,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2024-01-11 19:28:51.000000,2023-12-10 19:24:06,3708.0,15.0,67.0,47.0,351.0,22.0,388.0,551.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,37.0,25,False,2023-11-14 15:08:13.000,4.0.1,69.0,skll,conda-forge/skll,,['sklearn'],13.0,871.0,58.0,40.0,https://pypi.org/project/skll,2023-11-14 15:04:40.000,18.0,378.0,https://anaconda.org/conda-forge/skll,2023-11-15 00:08:06.079,12836.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +525,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2024-01-03 13:23:50.000000,2022-01-15 18:08:37,1718.0,,64.0,16.0,13.0,34.0,7.0,497.0,Pure-Python full-text search library.,42.0,25,False,2016-04-04 01:19:40.000,2.7.4,141.0,whoosh,conda-forge/whoosh,,,,323314.0,3696.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,3696.0,316317.0,https://anaconda.org/conda-forge/whoosh,2023-09-23 13:28:08.196,223913.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +526,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2023-12-20 16:14:39.221000,2023-12-13 18:28:10,521.0,9.0,38.0,5.0,12.0,6.0,47.0,309.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,13.0,25,True,2023-12-19 14:22:21.000,0.8.1,24.0,scikit-posthocs,conda-forge/scikit-posthocs,,['sklearn'],39.0,103555.0,607.0,578.0,https://pypi.org/project/scikit-posthocs,2023-12-19 14:22:21.000,29.0,80295.0,https://anaconda.org/conda-forge/scikit-posthocs,2023-12-20 16:14:39.221,907165.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +527,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2024-01-16 10:19:37.000000,2024-01-16 10:15:06,522.0,12.0,54.0,40.0,269.0,18.0,59.0,296.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",37.0,25,False,2024-01-16 10:19:37.000,1.2.6,73.0,gokart,,,,,2642.0,79.0,74.0,https://pypi.org/project/gokart,2024-01-16 10:19:37.000,5.0,2642.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +528,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2023-12-11 19:25:59.000000,2023-11-17 21:43:05,4051.0,12.0,49.0,14.0,712.0,217.0,203.0,275.0,Asynchronous Distributed Hyperparameter Optimization.,32.0,25,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,1500.0,105.0,97.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,1500.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +529,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,,824.0,169.0,1588.0,145.0,74.0,6362.0,A natural language modeling framework based on PyTorch.,234.0,24,False,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,['pytorch'],351.0,130.0,22.0,21.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,1.0,125.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +530,T5,google-research/text-to-text-transfer-transformer,nlp,,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000,2023-12-18 19:53:02.000000,2023-12-18 19:52:57,597.0,4.0,728.0,105.0,587.0,105.0,345.0,5691.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,58.0,24,True,2023-03-30 16:55:07.154,0.9.4,29.0,t5,,,['tensorflow'],,14473.0,2.0,,https://pypi.org/project/t5,2021-10-18 13:55:26.000,2.0,14473.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +531,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2024-01-03 15:00:11.000000,2024-01-03 14:54:33,1095.0,3.0,881.0,117.0,674.0,238.0,542.0,5356.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,116.0,24,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,['pytorch'],,196.0,16.0,15.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,196.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +532,textgenrnn,minimaxir/textgenrnn,nlp,,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000,2022-07-17 19:07:49.000000,2020-07-14 02:41:10,174.0,,749.0,138.0,43.0,141.0,98.0,4937.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000,2.0.0,14.0,textgenrnn,,,['tensorflow'],890.0,703.0,1120.0,1104.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,16.0,691.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +533,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-01-18 05:40:56.000000,2024-01-12 05:25:21,1555.0,44.0,821.0,144.0,1459.0,326.0,398.0,4903.0,Simple and Distributed Machine Learning.,115.0,24,True,2023-11-27 21:27:39.000,1.0.2,42.0,mmlspark,,,['spark'],,,,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +534,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2023-12-26 10:14:09.000000,2023-11-19 13:26:15,334.0,5.0,930.0,46.0,32.0,62.0,112.0,4691.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",20.0,24,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,['sklearn'],,2019.0,179.0,171.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,8.0,2019.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +535,Image Super-Resolution,idealo/image-super-resolution,image,,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000,2023-12-31 12:14:36.000000,2021-06-02 09:45:13,150.0,,711.0,101.0,34.0,101.0,113.0,4411.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,24,False,2020-01-08 15:37:35.000,2.2.0,11.0,ISR,,,['tensorflow'],,4754.0,125.0,120.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,4751.0,,,,3.0,,,,,,,,,idealo/image-super-resolution-gpu,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,232.0,,,,,,,,,, +536,Stable Baselines,hill-a/stable-baselines,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000,2022-09-04 14:04:44.000000,2022-09-04 14:04:44,839.0,,716.0,66.0,247.0,124.0,823.0,3975.0,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",114.0,24,False,2021-04-06 12:38:10.521,2.10.2,31.0,stable-baselines,,,,,4643.0,35.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:38:10.521,35.0,4643.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +537,MatchZoo,NTMC-Community/MatchZoo,nlp,,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16,1810.0,,917.0,178.0,385.0,33.0,430.0,3811.0,"Facilitating the design, comparison and sharing of deep text matching models.",36.0,24,False,2019-10-24 13:09:11.000,2.2.0,5.0,matchzoo,,,['tensorflow'],,87.0,16.0,16.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000,,87.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +538,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2024-01-18 05:49:18.000000,2024-01-18 05:45:52,1587.0,10.0,504.0,152.0,609.0,69.0,75.0,3498.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",165.0,24,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,['pytorch'],,22.0,,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,22.0,,,,3.0,4.0,,,,,,,,,,,,,,,,,,,,,, +539,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2023-11-30 16:30:21.000000,2021-08-30 19:33:24,440.0,,528.0,175.0,50.0,65.0,49.0,3477.0,Fast and flexible AutoML with learning guarantees.,27.0,24,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,['tensorflow'],,70.0,59.0,56.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,3.0,70.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +540,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2023-09-22 09:55:14.000000,2023-05-19 17:52:25,508.0,,811.0,62.0,629.0,108.0,396.0,3131.0,A high-performance distributed training framework for Reinforcement Learning.,42.0,24,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,['paddle'],,716.0,123.0,122.0,https://pypi.org/project/parl,2022-05-13 04:46:41.000,1.0,716.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +541,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-12-07 20:40:17.000000,2023-12-07 20:40:17,720.0,5.0,219.0,54.0,36.0,71.0,121.0,3086.0,A GUI for Pandas DataFrames.,15.0,24,False,2023-02-11 20:04:00.783,0.2.14,44.0,pandasgui,conda-forge/pandasgui,,['pandas'],,4026.0,341.0,336.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000,5.0,3450.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,20766.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +542,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2023-08-28 05:14:10.000000,2022-06-05 10:44:18,1342.0,,510.0,110.0,73.0,185.0,115.0,3079.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,24,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,4484.0,789.0,125.0,125.0,https://pypi.org/project/xlearn,,,725.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +543,keras-vis,raghakot/keras-vis,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000,2022-02-07 16:06:07.000000,2020-04-20 01:03:12,195.0,,679.0,72.0,25.0,117.0,101.0,2976.0,Neural network visualization toolkit for keras.,10.0,24,False,2017-07-06 05:11:22.255,0.4.1,11.0,keras-vis,,,['tensorflow'],,1095.0,2900.0,2871.0,https://pypi.org/project/keras-vis,2017-07-06 05:11:22.255,29.0,1095.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +544,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2023-06-30 21:16:15.000000,2023-06-30 21:16:10,470.0,,308.0,66.0,315.0,43.0,124.0,2700.0,DDSP: Differentiable Digital Signal Processing.,32.0,24,True,2023-05-25 02:30:41.654,3.7.0,55.0,ddsp,conda-forge/ddsp,,['tensorflow'],,1845.0,49.0,48.0,https://pypi.org/project/ddsp,2022-05-25 17:42:19.000,1.0,1506.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,14605.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +545,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2024-01-02 10:00:14.000000,2023-11-02 03:13:52,1297.0,1.0,315.0,93.0,2157.0,206.0,982.0,2667.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",52.0,24,True,2023-02-03 19:04:11.785,0.8.1,118.0,pymars,,,,,10963.0,1.0,,https://pypi.org/project/pymars,2022-06-12 11:43:21.000,1.0,10963.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +546,python_speech_features,jameslyons/python_speech_features,audio,,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01,120.0,,645.0,90.0,29.0,25.0,52.0,2303.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,24,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,45520.0,672.0,492.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,180.0,45520.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +547,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2023-10-15 09:57:16.000000,2023-05-15 21:21:45,660.0,,222.0,39.0,136.0,6.0,129.0,2218.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,24.0,24,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,295.0,4807.0,152.0,149.0,https://pypi.org/project/norfair,2022-05-30 21:14:58.000,3.0,4800.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +548,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2023-07-04 21:11:26.000000,2023-07-04 21:11:26,451.0,,256.0,57.0,56.0,19.0,50.0,2204.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,True,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,['pytorch'],,3731.0,649.0,630.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,19.0,3731.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +549,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2024-01-11 20:56:38.000000,2023-10-16 16:49:59,532.0,,195.0,40.0,116.0,62.0,125.0,2097.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,25.0,24,True,2023-12-27 00:46:01.000,2023.12.27,773.0,kubric-nightly,,,,,6742.0,3.0,3.0,https://pypi.org/project/kubric-nightly,2023-12-27 00:46:01.000,,6742.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +550,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2023-10-24 16:13:23.000000,2018-12-16 15:30:13,118.0,,243.0,71.0,21.0,93.0,66.0,2075.0,Open source time series library for Python.,6.0,24,False,2017-11-21 16:27:06.000,0.4.16,36.0,pyflux,,,,,26818.0,277.0,260.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,17.0,26818.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +551,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2023-07-12 18:18:40.000000,2023-07-12 18:14:01,1515.0,,241.0,67.0,58.0,31.0,186.0,2046.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,20.0,24,True,2023-07-12 18:26:08.000,2.0.1,14.0,ampligraph,,,['tensorflow'],,531.0,48.0,48.0,https://pypi.org/project/ampligraph,2023-07-12 18:13:00.637,,531.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +552,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2023-11-15 21:03:09.000000,2023-07-01 21:39:32,2288.0,,229.0,37.0,37.0,9.0,109.0,2031.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,17.0,24,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,4396.0,222.0,218.0,https://pypi.org/project/karateclub,2022-10-22 16:17:27.886,4.0,3873.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,21994.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +553,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,data-viz,,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000,2024-01-12 11:22:59.000000,2024-01-12 11:22:59,124.0,6.0,228.0,43.0,36.0,45.0,23.0,1830.0,Parallel t-SNE implementation with Python and Torch wrappers.,18.0,24,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,['pytorch'],,2715.0,446.0,424.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,1768.0,https://anaconda.org/conda-forge/multicore-tsne,2023-10-11 19:12:48.654,31254.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +554,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-01-18 14:42:51.000000,2024-01-12 07:07:01,878.0,5.0,129.0,32.0,415.0,55.0,341.0,1776.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,19.0,24,True,2023-01-29 22:05:17.000,1.1.4.2,23.0,orbit-ml,,,,,29652.0,43.0,42.0,https://pypi.org/project/orbit-ml,2023-01-29 22:06:26.764,1.0,29652.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +555,uber/orbit,uber/orbit,time-series-data,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-01-18 14:42:51.000000,2024-01-12 07:07:01,878.0,5.0,129.0,32.0,415.0,55.0,341.0,1776.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,19.0,24,True,2023-01-29 22:05:17.000,1.1.4.2,23.0,orbit-ml,conda-forge/orbit-ml,,,,29852.0,43.0,42.0,https://pypi.org/project/orbit-ml,2023-01-29 22:06:26.764,1.0,29652.0,https://anaconda.org/conda-forge/orbit-ml,2023-12-19 05:59:30.209,4802.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +556,Hivemind,learning-at-home/hivemind,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000,2023-12-05 17:37:33.000000,2023-12-04 14:09:45,571.0,2.0,119.0,55.0,447.0,60.0,100.0,1761.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,29.0,24,True,2023-08-31 20:07:52.000,1.1.10,27.0,hivemind,,,,,6401.0,94.0,87.0,https://pypi.org/project/hivemind,2023-08-31 20:07:10.000,7.0,6401.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +557,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-12-20 21:18:02.000000,2022-08-31 09:45:24,594.0,,237.0,53.0,446.0,3.0,402.0,1709.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,24,False,2023-03-07 23:47:39.075,0.7.1,25.0,farm,conda-forge/farm,,['pytorch'],,1420.0,3.0,,https://pypi.org/project/farm,2020-09-14 15:23:01.000,3.0,1324.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,3195.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +558,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2023-11-21 03:54:52.000000,2022-09-18 16:01:20,637.0,,268.0,28.0,183.0,9.0,389.0,1599.0,"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.",22.0,24,False,2022-05-28 10:07:13.000,1.3,17.0,talos,,,['tensorflow'],,902.0,176.0,168.0,https://pypi.org/project/talos,2022-05-28 10:07:34.000,8.0,902.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +559,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2023-09-22 07:25:32.800000,2023-04-20 14:53:46,460.0,,238.0,49.0,48.0,22.0,91.0,1573.0,Contextually-keyed word vectors.,19.0,24,True,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,61323.0,3676.0,330.0,316.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,14.0,1603.0,https://anaconda.org/conda-forge/sense2vec,2023-09-22 07:25:32.800,35560.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +560,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2023-09-19 07:41:06.631000,2022-12-07 10:32:49,237.0,,267.0,1.0,1.0,1.0,,1529.0,Feature engineering package with sklearn like functionality.,38.0,24,False,2023-09-18 14:50:58.000,1.6.2,38.0,feature_engine,conda-forge/feature_engine,,,,122971.0,96.0,,https://pypi.org/project/feature_engine,2023-09-18 14:50:58.000,96.0,121908.0,https://anaconda.org/conda-forge/feature_engine,2023-09-19 07:41:06.631,43601.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +561,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2024-01-12 21:31:41.000000,2024-01-12 21:34:15,1179.0,11.0,118.0,28.0,68.0,2.0,29.0,1456.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,24,True,2023-08-19 14:26:10.000,0.7.0,29.0,pytorch_toolbelt,,,['pytorch'],7.0,6240.0,7.0,,https://pypi.org/project/pytorch_toolbelt,2022-06-27 19:59:57.000,7.0,6240.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +562,NiftyNet,NifTK/NiftyNet,medical-data,,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51,3284.0,,405.0,91.0,165.0,103.0,224.0,1352.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,61.0,24,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,['tensorflow'],,75.0,43.0,42.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,1.0,75.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +563,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2023-11-04 08:38:31.000000,2023-09-03 19:16:54,508.0,,166.0,32.0,86.0,16.0,32.0,1179.0,"A program for financial portfolio management, analysis and optimisation.",11.0,24,True,2023-09-04 06:57:56.000,0.7.0,15.0,FinQuant,,,,,404.0,88.0,88.0,https://pypi.org/project/FinQuant,2023-09-04 06:57:56.000,,404.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +564,TFEncrypted,tf-encrypted/tf-encrypted,privacy-ml,,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000,2023-10-19 08:20:16.000000,2023-02-08 02:25:50,604.0,,202.0,54.0,460.0,143.0,293.0,1174.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,24,True,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,['tensorflow'],,826.0,73.0,64.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,826.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +565,ChainerRL,chainer/chainerrl,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30,3471.0,,223.0,73.0,415.0,75.0,147.0,1140.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,28.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,398.0,169.0,159.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,10.0,398.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +566,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2023-11-16 19:55:28.000000,2019-08-16 09:00:15,140.0,,106.0,12.0,20.0,16.0,15.0,1033.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,24,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,333732.0,4803.0,4505.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,298.0,333732.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +567,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2023-11-17 11:03:05.000000,2023-11-17 10:59:26,412.0,3.0,184.0,34.0,73.0,3.0,86.0,1032.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,24,True,2022-09-25 14:40:40.377,4.5.1,39.0,keract,,,['tensorflow'],,3230.0,212.0,203.0,https://pypi.org/project/keract,2022-09-25 14:40:40.377,9.0,3230.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +568,scikit-cuda,lebedov/scikit-cuda,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000,2023-10-15 05:57:46.000000,2023-10-15 05:57:46,1036.0,,173.0,48.0,112.0,52.0,170.0,959.0,Python interface to GPU-powered libraries.,44.0,24,True,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,585.0,330.0,280.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,50.0,585.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +569,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2024-01-09 03:56:17.077000,2023-11-09 15:26:22,727.0,1.0,143.0,16.0,100.0,28.0,230.0,912.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,44.0,24,True,2023-10-06 08:51:55.000,0.6.18,31.0,torch-sparse,conda-forge/pytorch_sparse,,['pytorch'],,25415.0,75.0,,https://pypi.org/project/torch-sparse,2023-10-06 08:51:55.000,75.0,19721.0,https://anaconda.org/conda-forge/pytorch_sparse,2024-01-09 03:56:17.077,244882.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +570,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2023-06-16 13:23:14.332000,2019-07-22 06:22:45,1380.0,,150.0,25.0,154.0,79.0,137.0,761.0,Google maps for Jupyter notebooks.,16.0,24,False,2019-07-21 08:49:48.715,0.9.0,96.0,gmaps,conda-forge/gmaps,,['jupyter'],,9096.0,51.0,4.0,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506,44.0,4162.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,310127.0,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,3.0,1058.0,,,,,,,,,,,,,,, +571,NeuPy,itdxer/neupy,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000,2023-01-03 21:24:56.000000,2023-01-03 21:24:56,1146.0,,158.0,33.0,25.0,34.0,235.0,740.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,24,True,2019-04-04 19:44:59.000,0.8.2,29.0,neupy,,,,,3125.0,164.0,164.0,https://pypi.org/project/neupy,,,3125.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +572,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2023-12-29 00:14:59.843000,2023-10-11 13:01:19,594.0,,127.0,16.0,53.0,28.0,121.0,729.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,32.0,24,True,2023-10-12 06:54:28.000,1.6.3,43.0,torch-cluster,conda-forge/pytorch_cluster,,['pytorch'],,13290.0,45.0,,https://pypi.org/project/torch-cluster,2023-10-12 06:52:43.000,45.0,11315.0,https://anaconda.org/conda-forge/pytorch_cluster,2023-12-29 00:14:59.843,86912.0,2.0,,,,,,,,,,,,,,,,,,,,,,, +573,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2023-08-27 04:36:31.000000,2021-02-11 16:40:18,279.0,,73.0,13.0,48.0,22.0,53.0,692.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,7.0,24,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,217671.0,1169.0,1140.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,29.0,217487.0,https://anaconda.org/conda-forge/pysbd,2023-06-16 19:27:37.870,4981.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +574,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2022-01-11 05:18:07.000000,2021-04-19 05:00:36,221.0,,138.0,128.0,91.0,43.0,67.0,647.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,22.0,24,False,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,['jupyter'],,12089.0,200.0,185.0,https://pypi.org/project/mapboxgl,2019-06-02 16:02:54.380,15.0,12089.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +575,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2023-12-04 11:10:47.000000,2023-12-04 11:10:46,442.0,12.0,67.0,26.0,433.0,10.0,237.0,631.0,torchbearer: A model fitting library for PyTorch.,14.0,24,True,2023-12-01 18:41:20.000,0.5.5,26.0,torchbearer,,,['pytorch'],,414.0,86.0,86.0,https://pypi.org/project/torchbearer,,,414.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +576,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2024-01-17 00:26:23.000000,2024-01-17 00:25:49,335.0,55.0,85.0,7.0,19.0,3.0,78.0,510.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code.,17.0,24,True,2024-01-16 01:12:45.000,0.5.3,158.0,featurewiz,,,,,8034.0,64.0,62.0,https://pypi.org/project/featurewiz,2024-01-16 01:12:45.000,2.0,8034.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +577,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2023-06-16 13:16:45.065000,2022-02-11 07:59:35,77.0,,72.0,9.0,17.0,11.0,12.0,502.0,Find pyspark to make it importable.,15.0,24,False,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,['spark'],,1699743.0,4275.0,4111.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,164.0,1690023.0,https://anaconda.org/conda-forge/findspark,2023-06-16 13:16:45.065,884584.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +578,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2024-01-11 18:10:25.000000,2024-01-11 18:10:24,962.0,12.0,170.0,24.0,828.0,94.0,383.0,495.0,MONAI Label is an intelligent open source image labeling and learning tool.,57.0,24,True,2023-10-18 15:08:49.000,0.8.0,114.0,monailabel-weekly,,,,69930.0,2582.0,,,https://pypi.org/project/monailabel-weekly,2023-10-01 02:24:07.000,,251.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +579,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2024-01-14 19:14:51.000000,2024-01-03 08:17:42,657.0,11.0,62.0,30.0,438.0,13.0,91.0,365.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,24,True,2023-07-18 13:09:18.000,4.0.0,40.0,vega,conda-forge/vega,,['jupyter'],,19857.0,87.0,4.0,https://pypi.org/project/vega,2023-04-12 02:09:01.110,83.0,13558.0,https://anaconda.org/conda-forge/vega,2023-06-16 13:18:03.216,573232.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +580,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2023-11-19 21:07:53.000000,2023-11-19 20:49:10,166.0,13.0,47.0,17.0,2.0,9.0,3.0,364.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,24,True,2023-11-19 21:07:53.000,0.1.1,12.0,suod,,,,,9379.0,501.0,499.0,https://pypi.org/project/suod,2023-11-19 21:07:53.000,2.0,9379.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +581,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2023-10-20 17:29:31.000000,2023-10-20 17:29:28,575.0,,84.0,29.0,317.0,75.0,27.0,363.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,24,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,['tensorflow'],,36296.0,346.0,339.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,36296.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +582,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2024-01-15 19:34:36.000000,2024-01-15 19:34:31,758.0,21.0,82.0,13.0,30.0,9.0,46.0,354.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,18.0,24,True,2023-03-05 05:35:05.094,3.0.1,57.0,pymap3d,conda-forge/pymap3d,,,,57642.0,371.0,348.0,https://pypi.org/project/pymap3d,2023-03-05 05:35:05.094,23.0,56206.0,https://anaconda.org/conda-forge/pymap3d,2023-06-16 19:18:14.535,66090.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +583,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2023-12-13 23:01:05.000000,2023-12-13 23:01:05,2538.0,75.0,56.0,8.0,235.0,29.0,79.0,254.0,Python recommendation toolkit.,13.0,24,False,2022-08-16 20:29:07.512,0.14.2,23.0,lenskit,conda-forge/lenskit,,,,1332.0,100.0,96.0,https://pypi.org/project/lenskit,2022-08-16 20:29:07.512,4.0,712.0,https://anaconda.org/conda-forge/lenskit,2023-06-16 19:23:42.362,23584.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +584,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2024-01-13 10:31:18.000000,,,,3924.0,,,137.0,,23702.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",142.0,23,True,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,['tensorflow'],,4368.0,43.0,,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,43.0,4286.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,2486.0,3.0,-11.0,,,,,,,,,,,,,,,,,,,,,, +585,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2024-01-11 15:26:20.000000,2022-08-09 13:26:32,565.0,,1273.0,305.0,206.0,67.0,208.0,4604.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,23,False,,,,,,,,,1884.0,,,,,,,,,,3.0,,,,,,,,,shadowreaver/crypto-signal,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,143203.0,,,,,,,,,, +586,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2024-01-05 21:48:19.000000,2024-01-05 21:44:56,409.0,3.0,323.0,53.0,413.0,79.0,106.0,3184.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",37.0,23,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,['pytorch'],,168.0,35.0,34.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,168.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +587,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2024-01-06 04:36:23.000000,2023-11-05 09:58:06,2685.0,18.0,1062.0,132.0,1028.0,53.0,72.0,3044.0,a distributed deep learning platform.,85.0,23,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,,,,59.0,3.0,3.0,,,,,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,734.0,3.0,,,,,,,,,apache/singa,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,5366.0,,,,,,,,,, +588,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2023-08-29 08:45:13.000000,2023-08-29 08:45:10,277.0,,236.0,43.0,110.0,80.0,64.0,2845.0,"Text preprocessing, representation and visualization from zero to hero.",21.0,23,True,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,121.0,8963.0,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,8961.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +589,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2023-12-03 13:55:18.000000,2023-08-24 15:33:37,935.0,,169.0,20.0,74.0,91.0,168.0,2691.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,27.0,23,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,901.0,37.0,36.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,1.0,901.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +590,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000,2023-12-15 03:22:16.000000,2023-12-15 03:22:08,3454.0,2.0,732.0,108.0,3871.0,533.0,855.0,2596.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",108.0,23,True,2022-01-25 00:22:00.888,0.11.2,418.0,analytics-zoo,,,['spark'],,298.0,5.0,4.0,https://pypi.org/project/analytics-zoo,2022-08-22 20:19:01.213,1.0,298.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +591,Luminoth,tryolabs/luminoth,image,,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000,2023-03-24 23:52:00.000000,2020-01-07 20:53:25,838.0,,413.0,129.0,136.0,60.0,128.0,2396.0,Deep Learning toolkit for Computer Vision.,15.0,23,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,['tensorflow'],12716.0,1790.0,54.0,52.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,1621.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +592,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16,955.0,,440.0,65.0,122.0,32.0,350.0,2379.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,23,False,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,['tensorflow'],,39.0,64.0,62.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,39.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +593,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-10-23 17:59:41.000000,2023-10-23 17:59:40,755.0,1.0,304.0,28.0,695.0,49.0,150.0,2340.0,"Toolkit for creating, sharing and using natural language prompts.",65.0,23,True,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,366.0,78.0,77.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,1.0,366.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +594,SRU,asappresearch/sru,pytorch-utils,,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000,2022-01-04 21:17:53.000000,2021-05-19 15:52:48,400.0,,302.0,67.0,78.0,63.0,68.0,2099.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,23,False,2021-05-18 16:13:10.000,2.6.0,32.0,sru,,,['pytorch'],,2095.0,29.0,26.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,2095.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +595,FinTA,peerchemist/finta,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000,2022-07-24 08:40:51.000000,2022-07-24 08:40:51,394.0,,650.0,82.0,48.0,24.0,64.0,2017.0,Common financial technical indicators implemented in Pandas.,28.0,23,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,6179.0,476.0,464.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,6179.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +596,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2023-07-17 16:05:00.000000,2021-09-20 16:03:46,382.0,,238.0,44.0,33.0,51.0,90.0,1901.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,23,False,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,['pytorch'],,2881.0,161.0,161.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,2881.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +597,Higher,facebookresearch/higher,pytorch-utils,,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000,2022-03-25 15:56:51.000000,2021-10-26 07:08:33,31.0,,119.0,28.0,31.0,58.0,50.0,1563.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,23,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,['pytorch'],,40804.0,382.0,377.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,5.0,40804.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +598,EfficientNets,rwightman/gen-efficientnet-pytorch,pytorch-utils,,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000,2022-07-01 09:55:35.000000,2021-07-08 19:03:55,108.0,,203.0,45.0,12.0,4.0,51.0,1555.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,23,False,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,['pytorch'],,6903.0,206.0,204.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,2.0,6903.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +599,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2023-09-20 03:33:51.000000,2023-08-22 14:21:42,580.0,,302.0,55.0,115.0,54.0,30.0,1469.0,Interpretability and explainability of data and machine learning models.,41.0,23,True,2023-07-31 18:54:38.000,0.3.0,5.0,aix360,,,,,1017.0,87.0,86.0,https://pypi.org/project/aix360,2023-07-31 18:54:38.000,1.0,1017.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +600,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2023-12-07 16:22:32.000000,2023-11-08 21:41:55,157.0,1.0,162.0,101.0,184.0,35.0,25.0,1469.0,fklearn: Functional Machine Learning.,55.0,23,True,2023-11-09 12:59:48.000,3.0.0,31.0,fklearn,,,,,402.0,13.0,13.0,https://pypi.org/project/fklearn,2023-11-09 12:59:48.000,,402.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +601,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2024-01-06 08:38:37.000000,2024-01-06 08:35:06,342.0,2.0,292.0,40.0,252.0,69.0,192.0,1410.0,A framework for Privacy Preserving Machine Learning.,33.0,23,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,['pytorch'],,233.0,34.0,33.0,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,1.0,233.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +602,sklearn-porter,nok/sklearn-porter,model-serialisation,,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,BSD-3-Clause,2016-06-22 22:21:34.000,2022-07-25 15:59:11.000000,2022-05-22 23:59:48,1219.0,,159.0,33.0,22.0,42.0,34.0,1261.0,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",12.0,23,False,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,['sklearn'],,306.0,60.0,59.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,1.0,306.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +603,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2024-01-01 15:19:10.000000,2023-12-09 21:53:10,773.0,13.0,172.0,18.0,258.0,70.0,94.0,1227.0,Generate Diverse Counterfactual Explanations for any machine learning model.,19.0,23,True,2023-10-26 11:36:48.000,0.11,12.0,dice-ml,,,"['tensorflow', 'pytorch']",,40389.0,6.0,,https://pypi.org/project/dice-ml,2023-10-27 03:54:06.000,6.0,40389.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +604,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2023-12-24 06:07:13.000000,2023-12-24 06:07:13,78.0,2.0,226.0,20.0,17.0,4.0,87.0,1147.0,Implementation of the node2vec algorithm.,13.0,23,True,2022-08-01 11:35:00.616,0.4.6,18.0,node2vec,conda-forge/node2vec,,,,48307.0,560.0,539.0,https://pypi.org/project/node2vec,2022-08-01 11:35:00.616,21.0,47908.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,27178.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +605,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2024-01-08 07:04:51.000000,2023-03-29 07:39:45,85.0,,81.0,26.0,54.0,36.0,28.0,930.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,23,True,2020-02-13 09:57:47.000,1.0.6,14.0,youtokentome,conda-forge/youtokentome,,,,28211.0,615.0,592.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,23.0,26780.0,https://anaconda.org/conda-forge/youtokentome,2023-09-27 19:23:04.851,40077.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +606,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2023-08-14 23:20:14.000000,2023-03-06 07:52:05,311.0,,106.0,26.0,36.0,34.0,69.0,867.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,23,True,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,['pandas'],,13859.0,585.0,573.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,12.0,13859.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +607,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-11-13 16:09:34.000000,2020-02-25 14:31:53,879.0,,102.0,29.0,60.0,22.0,74.0,818.0,ML-Ensemble high performance ensemble learning.,7.0,23,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,2650.0,367.0,363.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,4.0,2650.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +608,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2024-01-10 18:21:30.000000,2024-01-10 18:20:54,284.0,8.0,243.0,46.0,18.0,9.0,91.0,797.0,Data compression in TensorFlow.,21.0,23,True,2023-10-13 19:56:17.000,2.14.0,22.0,tensorflow-compression,,,['tensorflow'],,10177.0,2.0,,https://pypi.org/project/tensorflow-compression,2023-10-12 23:14:15.000,2.0,10177.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +609,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2023-12-13 17:02:20.000000,2023-11-24 10:43:28,313.0,7.0,129.0,20.0,72.0,5.0,64.0,788.0,An intuitive library to extract features from time series.,18.0,23,True,2023-08-23 07:53:53.000,0.1.6,10.0,tsfel,,,,,22443.0,108.0,108.0,https://pypi.org/project/tsfel,2023-08-22 10:46:05.000,,22443.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +610,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2024-01-01 20:17:29.000000,2023-08-23 11:46:56,231.0,,103.0,15.0,40.0,35.0,24.0,785.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,11.0,23,True,2022-12-19 18:16:02.257,0.5.1,12.0,detoxify,,,,358336.0,24281.0,512.0,502.0,https://pypi.org/project/detoxify,2022-12-19 18:16:02.257,10.0,14852.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +611,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2023-11-06 22:17:29.000000,2023-11-06 22:11:24,461.0,12.0,72.0,26.0,160.0,40.0,62.0,749.0,,26.0,23,False,2023-11-06 22:17:30.000,1.8.0,9.0,objax,,,['jax'],,569.0,47.0,47.0,https://pypi.org/project/objax,,,569.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +612,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2023-09-26 00:20:33.000000,2023-09-26 00:20:33,398.0,,155.0,17.0,72.0,35.0,106.0,669.0,Ternary plotting library for python with matplotlib.,27.0,23,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,25.0,39171.0,186.0,159.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,27.0,38322.0,https://anaconda.org/conda-forge/python-ternary,2023-06-16 13:17:10.682,79045.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +613,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2023-09-19 18:44:18.000000,2023-09-19 18:44:18,355.0,,118.0,19.0,78.0,23.0,33.0,661.0,Working with molecular structures in pandas DataFrames.,15.0,23,True,2023-08-28 15:31:05.000,0.5.1de,20.0,biopandas,conda-forge/biopandas,,['pandas'],,81632.0,246.0,223.0,https://pypi.org/project/biopandas,2023-08-28 15:32:25.000,23.0,79889.0,https://anaconda.org/conda-forge/biopandas,2023-06-16 13:21:19.340,148190.0,3.0,,,BioPandas/biopandas,,,,,,,,,,,,,,,,,,,, +614,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2023-12-06 04:45:55.894000,2018-12-04 14:43:25,32.0,,80.0,21.0,8.0,23.0,41.0,638.0,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,23,False,2018-01-15 18:14:37.000,0.9.0,10.0,pivottablejs,anaconda/pivottablejs,,['jupyter'],,15504.0,417.0,396.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,21.0,15474.0,https://anaconda.org/anaconda/pivottablejs,2023-12-06 04:45:55.894,2851.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +615,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2024-01-17 16:50:55.000000,2024-01-16 12:45:15,853.0,25.0,80.0,10.0,707.0,86.0,432.0,580.0,Automated modeling and machine learning framework FEDOT.,32.0,23,True,2023-07-25 13:20:41.000,0.7.2,19.0,fedot,,,,,531.0,44.0,43.0,https://pypi.org/project/fedot,2023-07-25 13:17:29.000,1.0,531.0,,,,3.0,,,aimclub/FEDOT,,,,,,,,,,,,,,,,,,,, +616,random-forest-importances,parrt/random-forest-importances,interpretability,,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000,2023-11-18 04:12:38.000000,2021-01-30 21:50:02,249.0,,130.0,23.0,19.0,8.0,29.0,578.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,23,False,2021-01-28 23:23:17.000,1.3.7,22.0,rfpimp,,,['sklearn'],,21257.0,141.0,136.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,21257.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +617,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2023-08-10 03:20:53.000000,2023-08-10 03:20:53,1214.0,,63.0,7.0,206.0,18.0,109.0,484.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,23,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,['huggingface'],,2474.0,225.0,220.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,2474.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +618,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2023-11-16 02:24:03.000000,2023-11-16 02:17:17,251.0,6.0,27.0,8.0,4.0,22.0,59.0,279.0,Multiple Imputation with LightGBM in Python.,6.0,23,False,2023-11-16 02:24:03.000,5.7.0,45.0,miceforest,conda-forge/miceforest,,,,26569.0,119.0,114.0,https://pypi.org/project/miceforest,2023-11-16 02:24:03.000,5.0,26181.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,11660.0,1.0,,,,,,,,,,,,,,,,,,,,,,, +619,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2023-11-05 11:43:31.000000,2023-02-15 20:15:59,196.0,,486.0,83.0,37.0,53.0,26.0,10661.0,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",15.0,22,False,2023-02-15 20:19:00.626,1.0.0,12.0,prettymaps,conda-forge/prettymaps,,,,786.0,41.0,41.0,https://pypi.org/project/prettymaps,2021-10-19 13:33:43.000,,692.0,https://anaconda.org/conda-forge/prettymaps,2023-06-18 08:40:31.986,2272.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +620,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2023-06-16 18:03:39.000000,2023-03-04 05:19:44,2327.0,,606.0,145.0,1362.0,118.0,986.0,7972.0,Production infrastructure for machine learning at scale.,25.0,22,True,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,636.0,1.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,1.0,636.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +621,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2023-08-23 18:39:43.000000,2020-06-03 05:58:03,146.0,,1379.0,263.0,68.0,115.0,135.0,6227.0,Audio fingerprinting and recognition in Python.,23.0,22,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,65.0,24.0,21.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,3.0,65.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +622,graph-nets,deepmind/graph_nets,graph,,https://github.com/google-deepmind/graph_nets,https://github.com/google-deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2022-12-12 11:28:07.000000,2022-12-12 11:28:07,48.0,,779.0,224.0,25.0,8.0,122.0,5317.0,Build Graph Nets in Tensorflow.,11.0,22,False,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,['tensorflow'],,2214.0,28.0,20.0,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,8.0,2214.0,,,,3.0,,,google-deepmind/graph_nets,,,,,,,,,,,,,,,,,,,, +623,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2023-05-02 04:54:25.000000,2021-06-13 00:22:13,176.0,,1713.0,19.0,17.0,70.0,24.0,4886.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,22,False,2021-05-27 22:28:29.000,0.1.2,13.0,deepmatcher,,,,,2015.0,25.0,25.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,2015.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +624,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2023-04-10 13:46:12.000000,2022-05-30 07:32:06,3344.0,,820.0,234.0,109.0,57.0,620.0,4844.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,22,False,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,1501.0,23.0,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +625,Backtesting.py,kernc/backtesting.py,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000,2024-01-16 06:44:59.000000,2023-01-15 11:37:16,279.0,,851.0,109.0,94.0,119.0,349.0,4459.0,Backtest trading strategies in Python.,19.0,22,False,2021-12-13 01:36:44.000,0.3.3,21.0,backtesting,,,,,13528.0,2.0,,https://pypi.org/project/backtesting,2021-12-13 01:36:44.000,2.0,13528.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +626,deep-daze,lucidrains/deep-daze,image,,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000,2022-03-13 19:09:50.000000,2022-03-13 19:08:59,231.0,,323.0,75.0,37.0,95.0,74.0,4378.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,22,False,2022-03-13 19:09:50.000,0.11.1,67.0,deep-daze,,,,,884.0,51.0,51.0,https://pypi.org/project/deep-daze,2022-03-13 19:09:50.000,,884.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +627,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2023-06-16 13:24:50.216000,2019-05-22 18:27:54,1118.0,,824.0,330.0,89.0,91.0,306.0,3866.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,22,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,384.0,113.0,1.0,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,1.0,89.0,https://anaconda.org/anaconda/neon,2023-06-16 13:24:50.216,1869.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +628,gpt-2-simple,minimaxir/gpt-2-simple,nlp,,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000,2022-12-14 11:50:45.000000,2022-05-22 02:02:04,149.0,,654.0,77.0,53.0,176.0,101.0,3361.0,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,21.0,22,False,2021-10-18 02:38:39.000,0.8.1,18.0,gpt-2-simple,,,['tensorflow'],543.0,3346.0,7.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,7.0,3337.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +629,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2024-01-01 21:29:17.000000,2024-01-01 21:13:34,684.0,1.0,497.0,215.0,16.0,24.0,4.0,3278.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,22,True,2024-01-01 21:29:17.000,0.11.13,14.0,finmarketpy,,,,49.0,265.0,11.0,11.0,https://pypi.org/project/finmarketpy,2024-01-01 21:29:17.000,,265.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +630,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2024-01-16 02:09:05.000000,2021-05-06 12:10:38,127.0,,154.0,50.0,57.0,2.0,30.0,2978.0,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,22,False,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,480.0,47.0,47.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,422.0,https://anaconda.org/conda-forge/opyrator,2023-06-18 08:40:31.958,1401.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +631,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2023-12-15 22:52:18.000000,2023-12-15 22:50:38,766.0,1.0,362.0,93.0,547.0,144.0,92.0,2737.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,22,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,['tensorflow'],,6156.0,9.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,9.0,6156.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +632,Texar,asyml/texar,nlp,,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30,1719.0,,381.0,80.0,144.0,36.0,126.0,2380.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,22,False,2019-11-19 04:11:18.000,0.2.4,6.0,texar,,,['tensorflow'],,24.0,29.0,27.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000,2.0,24.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +633,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2023-12-12 15:07:33.000000,2023-08-10 17:09:47,309.0,,151.0,24.0,31.0,28.0,31.0,1853.0,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",11.0,22,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,['pytorch'],71.0,491.0,29.0,28.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,318.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,4306.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +634,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2024-01-18 02:43:59.000000,2024-01-16 17:27:35,27.0,1.0,105.0,37.0,30.0,26.0,78.0,1766.0,"A flexible, intuitive and fast forecasting library.",10.0,22,True,2024-01-12 20:13:07.000,1.0.0,11.0,greykite,,,,9.0,11204.0,26.0,26.0,https://pypi.org/project/greykite,2024-01-12 20:13:07.000,,11204.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +635,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2023-04-08 10:04:48.000000,2020-04-24 06:58:09,58.0,,255.0,44.0,13.0,57.0,35.0,1750.0,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,22,False,2018-12-03 04:33:29.000,0.2,3.0,hiddenlayer,,,"['pytorch', 'tensorflow', 'jupyter']",,1324.0,253.0,242.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,1324.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +636,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2023-12-22 22:35:35.000000,2023-12-22 22:35:35,1075.0,4.0,261.0,33.0,36.0,23.0,175.0,1706.0,A library for graph deep learning research.,49.0,22,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,387.0,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,8.0,387.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +637,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-utils,,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000,2023-07-18 11:41:11.000000,2022-01-30 01:22:30,743.0,,209.0,38.0,111.0,54.0,42.0,1695.0,"Large-scale linear classification, regression and ranking in Python.",17.0,22,False,2022-01-30 01:10:13.000,0.6.2.post0,12.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,['sklearn'],408.0,3467.0,153.0,144.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,9.0,1194.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,203427.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +638,auto_ml,ClimbsRocks/auto_ml,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25,1149.0,,311.0,98.0,45.0,187.0,216.0,1635.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,22,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,42.0,657.0,9.0,2.0,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,7.0,657.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +639,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2023-08-03 00:59:57.000000,2020-07-17 20:19:46,350.0,,115.0,39.0,11.0,33.0,51.0,1610.0,"A fast, efficient universal vector embedding utility package.",4.0,22,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,920.0,339.0,327.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,12.0,920.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +640,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2024-01-17 09:35:26.000000,2023-12-14 14:58:00,369.0,5.0,138.0,17.0,70.0,17.0,33.0,1594.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,15.0,22,True,2023-09-06 15:46:59.000,0.1.2,12.0,pythae,,,['pytorch'],,5779.0,19.0,19.0,https://pypi.org/project/pythae,2023-09-06 15:46:59.000,,5779.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +641,jiant,nyu-mll/jiant,nlp,,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000,2023-07-06 22:00:38.000000,2022-10-17 19:34:56,1930.0,,290.0,46.0,801.0,71.0,485.0,1582.0,jiant is an nlp toolkit.,60.0,22,False,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,79.0,3.0,3.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000,,79.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +642,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2023-11-29 18:30:27.000000,2023-11-29 05:50:04,1211.0,19.0,102.0,32.0,146.0,66.0,130.0,1331.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",23.0,22,True,2022-04-13 10:24:33.000,0.8.1,13.0,kp,,,,491.0,93.0,8.0,8.0,https://pypi.org/project/kp,2022-04-13 10:22:18.000,,82.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +643,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2023-09-14 02:51:02.000000,2022-05-29 19:09:18,309.0,,188.0,27.0,57.0,21.0,36.0,1243.0,A Toolbox for Adversarial Robustness Research.,21.0,22,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,['pytorch'],,547.0,154.0,149.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,547.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +644,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2023-12-06 23:24:36.000000,2023-12-06 23:22:36,184.0,3.0,108.0,37.0,25.0,17.0,114.0,1152.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,14.0,22,True,2023-12-06 23:27:18.000,2.1.6,79.0,ngt,,,,,4770.0,8.0,,https://pypi.org/project/ngt,2023-12-06 05:33:15.000,8.0,4770.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +645,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2024-01-15 20:55:40.000000,2024-01-15 08:23:31,527.0,77.0,121.0,20.0,236.0,7.0,117.0,1131.0,A standard framework for modelling Deep Learning Models for tabular data.,18.0,22,True,2024-01-15 12:17:19.000,1.1.0,12.0,pytorch_tabular,,,['pytorch'],21.0,2672.0,2.0,,https://pypi.org/project/pytorch_tabular,2024-01-15 02:46:25.000,2.0,2672.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,, +646,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000,2023-10-25 14:32:27.000000,2023-08-18 11:01:23,442.0,,210.0,54.0,85.0,64.0,205.0,1015.0,Line based ATR Engine based on OCRopy.,20.0,22,True,2023-08-18 11:50:18.000,1.0.6,41.0,calamari_ocr,,,,,1635.0,5.0,,https://pypi.org/project/calamari_ocr,2023-08-18 11:50:18.000,5.0,1635.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +647,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2022-06-30 08:14:18.000000,2022-06-30 08:14:18,208.0,,108.0,50.0,98.0,41.0,51.0,1005.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,18.0,22,False,2021-11-18 20:57:29.000,0.3.1,8.0,tf-explain,,,['tensorflow'],,1826.0,215.0,207.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,8.0,1826.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +648,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2024-01-04 20:41:21.000000,2024-01-04 20:41:21,582.0,2.0,290.0,96.0,121.0,62.0,96.0,988.0,"Machine learning, statistics, and data mining for astronomy and astrophysics.",31.0,22,True,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,['sklearn'],,1403.0,37.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,37.0,858.0,https://anaconda.org/conda-forge/astroml,2023-06-16 13:21:24.079,42037.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +649,What-If Tool,PAIR-code/what-if-tool,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000,2024-01-09 01:44:29.000000,2023-04-27 23:44:02,329.0,,157.0,29.0,109.0,80.0,56.0,866.0,Source code/webpage/demos for the What-If Tool.,20.0,22,True,2021-10-12 17:42:50.869,1.8.1,40.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,52528.0,8.0,2.0,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000,4.0,2249.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,2118561.0,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,2.0,1011.0,,,,,,,,,,,,,,, +650,Guild AI,guildai/guildai,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000,2023-08-14 08:41:19.000000,2023-08-12 20:19:05,5777.0,,82.0,14.0,77.0,219.0,218.0,843.0,"Experiment tracking, ML developer tools.",29.0,22,True,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,14.0,441.0,89.0,89.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,441.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +651,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2023-10-07 18:05:54.000000,2022-12-07 13:45:45,1234.0,,137.0,25.0,594.0,62.0,511.0,839.0,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,22,False,2022-02-10 15:55:46.374,0.12.0,41.0,icevision,,,,,3658.0,6.0,,https://pypi.org/project/icevision,2022-02-10 15:55:46.374,6.0,3658.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +652,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2023-12-29 17:18:10.000000,2023-12-02 22:09:25,222.0,2.0,82.0,19.0,153.0,24.0,82.0,819.0,Library to enable Bayesian active learning in your research or labeling work.,21.0,22,True,2023-10-02 19:58:51.000,1.9.1,19.0,baal,conda-forge/baal,,,,1219.0,54.0,53.0,https://pypi.org/project/baal,2023-10-02 19:57:48.000,1.0,1007.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,7664.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +653,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2024-01-17 22:07:22.000000,2024-01-12 19:11:24,1139.0,32.0,123.0,30.0,960.0,37.0,50.0,751.0,Machine learning framework for both deep learning and traditional algorithms.,35.0,22,True,2023-12-26 02:42:15.000,2.0.210,15.0,neoml,,,,,655.0,,,https://pypi.org/project/neoml,2023-12-26 02:42:15.000,,655.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +654,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2022-07-22 06:10:37.000000,2020-03-17 22:44:47,642.0,,74.0,26.0,37.0,25.0,21.0,735.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,22,False,2019-12-01 01:19:50.000,0.7.5,64.0,test_tube,,,,18.0,75323.0,26.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,26.0,75323.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +655,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2023-06-16 19:26:00.374000,2019-10-30 09:27:48,189.0,,81.0,21.0,12.0,,38.0,683.0,Python package for stacking (machine learning technique).,1.0,22,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,22729.0,384.0,378.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,6.0,22671.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,1865.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +656,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2023-06-16 19:24:00.330000,2022-04-22 06:33:31,188.0,,111.0,27.0,23.0,57.0,35.0,594.0,a distributed Hyperband implementation on Steroids.,11.0,22,False,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,9574.0,421.0,399.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,22.0,9082.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,18206.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +657,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2024-01-10 13:18:56.000000,2023-12-07 19:31:40,331.0,2.0,131.0,20.0,39.0,13.0,79.0,530.0,Medical image processing in Python.,18.0,22,False,2019-02-14 17:12:59.000,0.4.0,6.0,MedPy,conda-forge/medpy,,,,20883.0,1698.0,1654.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000,44.0,20169.0,https://anaconda.org/conda-forge/medpy,2023-11-26 21:20:01.088,22134.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +658,small-text,webis-de/small-text,nlp,,https://github.com/webis-de/small-text,https://github.com/webis-de/small-text,MIT,2021-05-24 08:06:41.000,2024-01-09 20:14:46.000000,2023-12-29 21:08:41,477.0,31.0,55.0,26.0,9.0,11.0,32.0,511.0,Active Learning for Text Classification in Python.,6.0,22,True,2023-12-29 21:23:01.000,1.3.3,20.0,small-text,conda-forge/small-text,,"['sklearn', 'pytorch']",,862.0,25.0,25.0,https://pypi.org/project/small-text,2023-12-29 21:17:11.000,,579.0,https://anaconda.org/conda-forge/small-text,2023-12-29 21:40:00.838,5109.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +659,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2023-11-17 16:30:15.000000,2021-11-18 21:06:54,172.0,,46.0,10.0,9.0,11.0,21.0,480.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,22,False,2023-11-17 16:33:58.000,0.6.1,14.0,apricot-select,,,,27.0,3743.0,97.0,89.0,https://pypi.org/project/apricot-select,2021-02-18 06:55:02.000,8.0,3743.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +660,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2023-12-15 16:29:56.000000,2023-12-15 16:28:41,2274.0,7.0,41.0,12.0,11.0,9.0,52.0,480.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,7.0,22,True,2023-11-01 10:40:28.000,4.6.0,75.0,hyperactive,,,,130.0,3482.0,30.0,25.0,https://pypi.org/project/hyperactive,2023-10-24 14:03:36.000,5.0,3480.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +661,Quantus,understandable-machine-intelligence-lab/quantus,interpretability,,https://github.com/understandable-machine-intelligence-lab/Quantus,https://github.com/understandable-machine-intelligence-lab/Quantus,GPL-3.0,2021-03-18 15:04:58.000,2024-01-15 08:37:03.000000,2024-01-11 09:09:39,1690.0,85.0,63.0,6.0,198.0,44.0,77.0,456.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,19.0,22,False,2023-12-05 11:42:47.000,0.5.3,27.0,quantus,,,,148.0,487.0,22.0,21.0,https://pypi.org/project/quantus,2023-12-05 11:42:47.000,1.0,481.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +662,tick,X-DataInitiative/tick,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000,2023-12-07 13:59:00.000000,2023-03-05 00:16:57,419.0,,96.0,36.0,276.0,69.0,173.0,452.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",19.0,22,True,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,293.0,1171.0,75.0,73.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,2.0,1168.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +663,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2023-12-26 14:50:12.000000,2023-12-26 14:50:08,383.0,21.0,96.0,18.0,9.0,5.0,38.0,429.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some..",7.0,22,True,2022-02-16 06:14:54.000,0.0.17,17.0,chefboost,,,,,1688.0,51.0,51.0,https://pypi.org/project/chefboost,2022-02-16 06:14:54.000,,1688.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +664,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-11-25 01:31:29.000000,2020-05-11 14:32:38,782.0,,79.0,24.0,12.0,48.0,49.0,412.0,optimization routines for hyperparameter tuning.,9.0,22,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,90.0,4853.0,124.0,110.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,14.0,4853.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +665,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2023-09-25 06:14:21.168000,2022-04-14 09:41:50,86.0,,33.0,13.0,9.0,4.0,12.0,229.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,22,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,65669.0,1003.0,957.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,46.0,64240.0,https://anaconda.org/conda-forge/py3nvml,2023-09-25 06:14:21.168,55762.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +666,stop-words,Alir3z4/python-stop-words,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000,2021-12-28 13:59:30.000000,2018-07-23 21:04:09,90.0,,26.0,7.0,18.0,4.0,9.0,154.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,105214.0,2238.0,2083.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,155.0,105214.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +667,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2023-12-07 15:30:25.000000,2023-02-07 10:12:31,47.0,,2147.0,148.0,88.0,240.0,286.0,12375.0,End-to-End Object Detection with Transformers.,26.0,21,True,2020-06-29 16:41:01.000,0.2,1.0,,,,['pytorch'],,,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +668,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/nebuly,https://github.com/nebuly-ai/nebuly,Apache-2.0,2022-02-12 17:17:14.000,2023-10-28 10:19:07.000000,2023-10-28 10:19:07,763.0,5.0,645.0,96.0,150.0,98.0,103.0,8333.0,The user analytics platform for LLMs.,40.0,21,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,701.0,2.0,,https://pypi.org/project/nebullvm,2023-06-18 11:03:00.511,2.0,701.0,,,,3.0,,,nebuly-ai/nebuly,,,,,,,,,,,,,,,,,,,, +669,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2023-12-22 07:27:57.000000,2023-10-19 02:11:57,190.0,,1142.0,99.0,48.0,363.0,280.0,6090.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,31.0,21,True,,,1.0,pyslowfast,,,['pytorch'],,10.0,15.0,15.0,https://pypi.org/project/pyslowfast,2020-01-15 23:51:07.000,,10.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +670,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/google-deepmind/trfl,https://github.com/google-deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000,2022-12-08 18:07:05.000000,2021-08-16 11:45:18,123.0,,379.0,208.0,9.0,6.0,16.0,3143.0,TensorFlow Reinforcement Learning.,13.0,21,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,['tensorflow'],,766.0,143.0,140.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,3.0,766.0,,,,3.0,,,google-deepmind/trfl,,,,,,,,,,,,,,,,,,,, +671,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2023-07-27 13:04:26.000000,2023-07-27 13:04:12,336.0,,337.0,42.0,68.0,159.0,95.0,1838.0,Super easy library for BERT based NLP models.,36.0,21,True,2023-07-27 13:04:26.000,2.0.17,66.0,fast-bert,,,,,1199.0,2.0,,https://pypi.org/project/fast-bert,2023-07-27 13:04:26.000,2.0,1199.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +672,graph4nlp,graph4ai/graph4nlp,graph,,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000,2023-02-11 12:08:00.000000,2022-11-13 04:54:45,1941.0,,196.0,30.0,423.0,11.0,163.0,1645.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,29.0,21,False,2022-01-20 18:07:32.000,0.5.5,12.0,graph4nlp,,,['pytorch'],,61.0,,,https://pypi.org/project/graph4nlp,2022-01-20 15:18:44.000,,61.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +673,Antialiased CNNs,adobe/antialiased-cnns,pytorch-utils,,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000,2023-04-10 08:32:30.000000,2021-09-29 18:48:52,239.0,,203.0,38.0,6.0,15.0,33.0,1633.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,21,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,['pytorch'],,1969.0,52.0,46.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,1969.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +674,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2023-06-16 19:17:34.578000,2023-03-23 14:35:34,422.0,,281.0,74.0,728.0,53.0,64.0,1566.0,An end-to-end PyTorch framework for image and video classification.,77.0,21,True,2023-03-21 05:24:19.000,0.7.0,18.0,classy_vision,conda-forge/classy_vision,,['pytorch'],,877.0,4.0,,https://pypi.org/project/classy_vision,2023-03-21 05:15:00.935,4.0,489.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,18667.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +675,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2023-09-15 04:35:29.000000,2023-09-15 04:35:29,906.0,,208.0,57.0,52.0,73.0,149.0,1521.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,35.0,21,True,2019-11-17 09:36:51.000,0.3.4,5.0,thundersvm,,,,2741.0,393.0,,,https://pypi.org/project/thundersvm,,,362.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +676,anaGo,Hironsan/anago,nlp,,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000,2022-12-07 23:44:31.000000,2021-04-01 12:34:50,298.0,,359.0,62.0,47.0,37.0,72.0,1476.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,21,False,2018-07-17 01:59:21.000,1.0.8,14.0,anago,,,['tensorflow'],,190.0,38.0,32.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000,6.0,190.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +677,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2023-08-06 18:20:04.000000,2020-08-25 09:26:27,1121.0,,271.0,66.0,51.0,23.0,75.0,1463.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,208.0,35.0,35.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,208.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +678,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2023-05-22 21:34:54.000000,2020-02-04 21:10:25,334.0,,219.0,64.0,48.0,36.0,90.0,1252.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,21,False,2019-04-02 00:53:47.000,0.26.2,30.0,tensorrec,,,['tensorflow'],,231.0,37.0,34.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,3.0,231.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +679,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2023-10-17 15:42:35.000000,2023-10-17 15:42:30,833.0,,327.0,51.0,791.0,4.0,300.0,1195.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,60.0,21,True,2023-03-03 07:51:00.411,3.1.34,85.0,sockeye,,,['mxnet'],17.0,1063.0,2.0,,https://pypi.org/project/sockeye,2023-03-03 07:51:00.411,2.0,1063.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +680,luminol,linkedin/luminol,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000,2023-05-09 00:52:44.000000,2023-05-09 00:52:44,72.0,,216.0,66.0,29.0,31.0,12.0,1139.0,Anomaly Detection and Correlation library.,9.0,21,True,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,7015.0,91.0,76.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,15.0,7015.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +681,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2023-07-16 15:34:00.704000,2023-07-16 15:16:10,420.0,,147.0,93.0,117.0,33.0,45.0,1122.0,PFRL: a PyTorch-based deep reinforcement learning library.,19.0,21,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,891.0,100.0,99.0,https://pypi.org/project/pfrl,2023-07-16 15:34:00.704,1.0,891.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +682,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,208.0,28.0,61.0,54.0,60.0,1057.0,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,593.0,240.0,129.0,119.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,10.0,235.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +683,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2023-10-20 17:48:54.000000,2023-10-20 17:48:54,207.0,,248.0,48.0,46.0,26.0,127.0,1042.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,28.0,21,True,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,['tensorflow'],,228.0,28.0,28.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,228.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +684,nude.py,hhatto/nude.py,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02,79.0,,132.0,36.0,16.0,8.0,3.0,921.0,Nudity detection with Python.,12.0,21,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,1099.0,3607.0,3595.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,12.0,1099.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +685,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2023-07-24 18:18:54.000000,2022-05-13 18:48:12,83.0,,181.0,24.0,58.0,10.0,27.0,918.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",16.0,21,False,2022-06-14 18:11:08.000,0.2.0,11.0,saliency,,,['tensorflow'],,4319.0,81.0,75.0,https://pypi.org/project/saliency,2022-06-14 18:11:08.000,6.0,4319.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +686,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2023-10-23 02:52:41.000000,2022-07-04 00:10:02,195.0,,146.0,23.0,46.0,14.0,82.0,901.0,kapre: Keras Audio Preprocessors.,13.0,21,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,['tensorflow'],26.0,908.0,2367.0,2352.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,15.0,908.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +687,iterative-stratification,trent-b/iterative-stratification,sklearn-utils,,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000,2022-06-06 22:38:33.000000,2022-06-06 22:38:33,57.0,,73.0,6.0,5.0,4.0,23.0,809.0,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,21,False,2021-10-03 18:49:49.000,0.1.7,6.0,iterative-stratification,,,['sklearn'],,56435.0,413.0,400.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000,13.0,56435.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +688,deeplift,kundajelab/deeplift,interpretability,,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000,2022-04-28 10:04:52.000000,2021-11-11 17:50:26,553.0,,155.0,38.0,46.0,40.0,49.0,781.0,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,483.0,96.0,88.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,8.0,483.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +689,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2024-01-15 14:56:07.000000,2023-12-29 01:45:38,174.0,22.0,34.0,8.0,47.0,1.0,12.0,735.0,"Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and video, up..",9.0,21,True,2023-12-29 01:46:22.000,1.0.3,27.0,uform,,,['pytorch'],,1924.0,14.0,14.0,https://pypi.org/project/uform,2023-12-29 01:46:22.000,,1924.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +690,TreeInterpreter,andosa/treeinterpreter,interpretability,,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000,2023-07-18 10:50:27.000000,2021-02-28 18:33:06,37.0,,144.0,25.0,19.0,26.0,5.0,733.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,21,False,2021-01-10 20:12:39.000,0.2.3,5.0,treeinterpreter,conda-forge/treeinterpreter,,['sklearn'],,42751.0,605.0,591.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,14.0,42594.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,6154.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +691,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2024-01-14 17:42:25.000000,2024-01-08 12:42:48,1503.0,1.0,79.0,36.0,648.0,22.0,118.0,696.0,Scikit-learn style model finetuning for NLP.,23.0,21,True,2023-09-29 10:19:51.000,0.10.0,39.0,finetune,,,"['tensorflow', 'sklearn']",,57.0,13.0,11.0,https://pypi.org/project/finetune,2023-09-29 10:19:51.000,2.0,57.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +692,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2024-01-15 02:16:59.000000,2024-01-15 01:52:35,490.0,4.0,100.0,31.0,557.0,197.0,245.0,649.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,21,True,2024-01-15 02:09:18.000,23.12.00,16.0,merlin-core,,,,,3591.0,1.0,,https://pypi.org/project/merlin-core,2023-08-29 16:27:32.000,1.0,3591.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +693,combo,yzhao062/combo,sklearn-utils,,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000,2023-01-14 04:46:24.000000,2023-01-14 04:46:24,210.0,,105.0,30.0,1.0,13.0,3.0,633.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,21,True,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,"['sklearn', 'xgboost']",,15089.0,607.0,599.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,8.0,15089.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +694,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2024-01-18 15:15:12.000000,2023-12-19 11:36:08,862.0,1.0,102.0,45.0,75.0,48.0,25.0,603.0,Bias and Fairness Audit Toolkit.,18.0,21,True,2020-12-16 11:48:14.000,0.42.0,16.0,aequitas,,,,,2452.0,154.0,147.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000,7.0,2452.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +695,Neuraxle,Neuraxio/Neuraxle,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000,2023-05-01 22:43:43.000000,2022-08-16 17:43:49,1877.0,,57.0,19.0,216.0,49.0,301.0,592.0,The worlds cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep..,9.0,21,False,2022-08-16 19:54:29.000,0.8.1,27.0,neuraxle,,,,,220.0,60.0,59.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,220.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +696,skope-rules,scikit-learn-contrib/skope-rules,sklearn-utils,,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000,2023-02-14 11:18:28.000000,2023-02-14 11:18:28,249.0,,89.0,26.0,31.0,28.0,6.0,569.0,machine learning with logical rules in Python.,19.0,21,False,2020-12-11 09:37:02.000,1.0.1,4.0,skope-rules,,,['sklearn'],,15599.0,364.0,357.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,7.0,15599.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +697,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2024-01-11 20:34:53.000000,2023-10-04 12:31:54,297.0,,97.0,15.0,53.0,13.0,15.0,547.0,A library of metrics for evaluating recommender systems.,20.0,21,True,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,5.0,11067.0,48.0,48.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,11067.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +698,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-11-11 03:23:44.000000,2023-11-11 03:23:44,413.0,3.0,54.0,60.0,9.0,23.0,25.0,514.0,Python library assists deep learning on graphs.,18.0,21,True,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,10.0,444.0,81.0,80.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,1.0,444.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +699,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2024-01-15 10:30:51.000000,2023-12-11 07:05:24,4782.0,74.0,38.0,13.0,1.0,2.0,80.0,400.0,Deep Learning PyTorch.,1.0,21,True,2024-01-09 05:17:07.000,0.5.0,103.0,carefree-learn,,,['pytorch'],,465.0,5.0,5.0,https://pypi.org/project/carefree-learn,2024-01-09 05:17:07.000,,465.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +700,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2024-01-10 21:22:19.000000,2023-12-25 11:40:29,5585.0,18.0,89.0,15.0,737.0,28.0,425.0,394.0,Lightwood is Legos for Machine Learning.,43.0,21,False,2024-01-10 21:22:19.000,23.12.4.0,202.0,lightwood,,,['pytorch'],,5174.0,2.0,,https://pypi.org/project/lightwood,2023-12-25 13:15:52.000,2.0,5174.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +701,Julius,adefossez/julius,audio,,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000,2022-09-26 14:14:12.000000,2022-09-19 16:13:14,69.0,,27.0,10.0,9.0,2.0,9.0,387.0,Fast PyTorch based DSP for audio and 1D signals.,2.0,21,False,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,['pytorch'],,157025.0,954.0,948.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,6.0,157025.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +702,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2023-09-06 17:29:29.000000,2023-09-06 17:29:29,2412.0,,52.0,24.0,231.0,57.0,195.0,378.0,Studio: Simplify and expedite model building process.,24.0,21,True,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,664.0,5.0,5.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,664.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +703,impyute,eltonlaw/impyute,others,,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04,292.0,,48.0,11.0,37.0,28.0,37.0,343.0,Data imputations library to preprocess datasets with missing data.,11.0,21,False,2019-04-29 02:33:05.659,0.0.8,8.0,impyute,,,,,3206.0,219.0,213.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,6.0,3206.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +704,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/hex-inc/vegafusion,https://github.com/hex-inc/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2024-01-10 02:24:36.510000,2024-01-09 20:23:28,632.0,29.0,10.0,22.0,316.0,38.0,77.0,279.0,Serverside scaling for Vega and Altair visualizations.,3.0,21,False,2024-01-09 20:50:49.000,1.6.1,66.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,4986.0,6503.0,3.0,,https://pypi.org/project/vegafusion-jupyter,2024-01-09 20:25:24.000,1.0,1625.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2024-01-10 02:24:36.510,89084.0,3.0,,,hex-inc/vegafusion,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2024-01-09 20:30:13.843,2.0,622.0,,,,,,,,,,,,,,, +705,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2024-01-18 15:08:22.000000,2024-01-18 14:51:04,678.0,44.0,24.0,4.0,262.0,4.0,,267.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML pipeline from..,12.0,21,False,2024-01-17 19:08:03.000,1.1.240,556.0,upgini,,,,,5975.0,5.0,5.0,https://pypi.org/project/upgini,2024-01-18 09:34:31.000,,5975.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +706,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-08-31 18:37:21.000000,2023-08-31 18:34:42,577.0,,19.0,20.0,464.0,90.0,76.0,228.0,Functional tensors for probabilistic programming.,11.0,21,False,2023-08-31 18:37:22.000,0.4.6,12.0,funsor,,,['pytorch'],,35129.0,73.0,66.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,7.0,35129.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +707,tf-quant-finance,google/tf-quant-finance,financial-data,,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000,2023-10-06 13:06:28.000000,2023-08-15 07:38:22,956.0,,523.0,167.0,45.0,26.0,28.0,4164.0,High-performance TensorFlow library for quantitative finance.,47.0,20,True,,,4.0,tf-quant-finance,,,['tensorflow'],,501.0,,,https://pypi.org/project/tf-quant-finance,,,501.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +708,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2023-10-03 18:02:27.000000,2022-02-10 07:36:23,432.0,,475.0,87.0,180.0,108.0,161.0,3541.0,A high performance and generic framework for distributed DNN training.,21.0,20,False,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,,,,69.0,,,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,45.0,,,,3.0,,,,,,,,,bytepsimage/tensorflow,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1324.0,,,,,,,,,, +709,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2023-08-30 07:47:40.000000,2023-08-30 07:47:36,119.0,,357.0,97.0,16.0,53.0,17.0,3352.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",15.0,20,True,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,665.0,142.0,135.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,665.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +710,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000,2023-05-16 10:47:48.000000,2023-05-10 04:35:39,269.0,,317.0,60.0,242.0,173.0,109.0,3022.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,17.0,20,True,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,672.0,1398.0,2.0,,https://pypi.org/project/lightseq,2022-11-03 06:46:55.989,2.0,1385.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +711,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-11-07 16:21:47.000000,2022-11-07 16:21:47,957.0,,454.0,166.0,120.0,22.0,112.0,2926.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,38.0,20,False,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,99.0,9.0,9.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000,,99.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +712,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2023-07-23 10:44:20.000000,2019-03-06 17:01:45,27.0,,327.0,74.0,2.0,18.0,7.0,2905.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,20,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,['pytorch'],,872.0,194.0,186.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,8.0,872.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +713,image-match,ProvenanceLabs/image-match,image,,https://github.com/rhsimplex/image-match,https://github.com/rhsimplex/image-match,Apache-2.0,2016-03-08 18:16:45.000,2022-12-06 11:29:04.000000,2022-12-06 11:29:04,406.0,,398.0,102.0,54.0,64.0,48.0,2899.0,Quickly search over billions of images.,19.0,20,False,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,326.0,4.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,4.0,326.0,,,,3.0,,,rhsimplex/image-match,,,,,,,,,,,,,,,,,,,, +714,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-10-23 17:15:34.000000,2022-07-20 20:54:36,1904.0,,322.0,101.0,1000.0,87.0,260.0,2815.0,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,20,False,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +715,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2023-06-14 23:22:41.000000,2020-04-02 01:05:35,46.0,,827.0,86.0,30.0,45.0,80.0,2616.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,814.0,76.0,69.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,7.0,814.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +716,Coach,IntelLabs/coach,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000,2022-12-11 17:54:07.000000,2022-12-11 17:54:06,524.0,,454.0,127.0,225.0,87.0,183.0,2289.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,38.0,20,False,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,109.0,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,109.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +717,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2023-08-26 21:36:44.000000,2023-08-26 20:55:56,106.0,,232.0,62.0,105.0,25.0,56.0,2092.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,20,True,2021-05-21 00:29:47.000,0.2,3.0,pycls,,,['pytorch'],,1113.0,16.0,16.0,https://pypi.org/project/pycls,2020-09-05 00:21:00.000,,1113.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +718,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2023-06-21 14:17:49.000000,2023-06-21 14:07:30,249.0,,251.0,54.0,35.0,15.0,105.0,2016.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,20,True,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,['pytorch'],,3227.0,,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000,,3227.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +719,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2023-06-16 16:17:31.557000,2021-09-30 21:51:09,8208.0,,175.0,55.0,895.0,129.0,586.0,1872.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",50.0,20,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,19.0,,,,,,,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,1019.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +720,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2023-10-11 20:58:29.000000,2020-12-17 06:57:15,932.0,,294.0,67.0,201.0,5.0,74.0,1577.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,,['tensorflow'],,260.0,,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000,,26.0,,,,3.0,,,,,,,,,zh794390558/delta,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13117.0,,,,,,,,,, +721,lore,instacart/lore,ml-experiments,,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000,2023-05-13 02:26:19.000000,2022-09-27 19:41:48,274.0,,140.0,101.0,150.0,21.0,20.0,1553.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,20,False,2022-02-18 18:01:38.000,0.8.6,233.0,lore,,,,,850.0,22.0,21.0,https://pypi.org/project/lore,2022-02-18 18:01:38.000,1.0,850.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +722,Lambda Networks,lucidrains/lambda-networks,pytorch-utils,,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30,31.0,,157.0,46.0,3.0,13.0,15.0,1529.0,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,20,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,['pytorch'],,1406.0,22.0,22.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,1406.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +723,DLTK,DLTK/DLTK,medical-data,,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000,2023-03-24 22:27:46.000000,2019-01-21 14:01:28,379.0,,399.0,102.0,36.0,11.0,24.0,1412.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,['tensorflow'],,39.0,31.0,31.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,39.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +724,jraph,deepmind/jraph,graph,,https://github.com/google-deepmind/jraph,https://github.com/google-deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2023-06-16 19:27:46.249000,2022-08-31 13:13:15,103.0,,80.0,40.0,14.0,12.0,27.0,1270.0,A Graph Neural Network Library in Jax.,17.0,20,False,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,['jax'],,5666.0,143.0,132.0,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,11.0,5512.0,https://anaconda.org/conda-forge/jraph,2023-06-16 19:27:46.249,4162.0,3.0,,,google-deepmind/jraph,,,,,,,,,,,,,,,,,,,, +725,doc2text,jlsutherland/doc2text,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26,62.0,,101.0,41.0,13.0,14.0,9.0,1264.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,20,False,2016-09-06 21:59:21.000,0.2.4,5.0,doc2text,,,,,1257.0,116.0,115.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,1.0,1257.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +726,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2023-06-16 19:26:09.140000,2019-05-06 07:06:50,159.0,,169.0,56.0,14.0,30.0,19.0,1013.0,python toolbox for visualizing geographical data and making maps.,8.0,20,False,2016-07-27 14:55:01.000,0.3.2,4.0,geoplotlib,conda-forge/geoplotlib,,,,786.0,180.0,168.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,12.0,535.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,8053.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +727,TensorNets,taehoonlee/tensornets,tensorflow-utils,,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24,284.0,,184.0,52.0,12.0,16.0,42.0,1010.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,['tensorflow'],,41.0,79.0,75.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,41.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +728,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2024-01-14 08:39:28.000000,2020-04-17 02:27:44,79.0,,130.0,25.0,76.0,43.0,36.0,996.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,20,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,243882.0,2.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,2.0,243714.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,7743.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +729,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2023-09-04 22:14:55.000000,2023-09-04 22:14:55,303.0,,87.0,18.0,72.0,18.0,42.0,926.0,Audio processing by using pytorch 1D convolution network.,15.0,20,True,2022-10-09 13:50:13.300,0.3.2,39.0,nnAudio,,,,,4272.0,156.0,153.0,https://pypi.org/project/nnAudio,2021-12-24 09:38:22.000,3.0,4272.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +730,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2023-06-10 14:57:37.569000,2023-06-05 01:35:02,228.0,,127.0,17.0,24.0,27.0,39.0,799.0,python partial dependence plot toolbox.,7.0,20,True,2023-06-05 02:53:01.145,0.3.0,4.0,pdpbox,conda-forge/pdpbox,,,,21486.0,26.0,,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,21121.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,19726.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +731,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2023-03-30 20:05:58.000000,2019-11-15 21:43:53,221.0,,158.0,76.0,98.0,51.0,43.0,753.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,20,False,2018-11-16 20:50:02.000,0.6.0,6.0,tensorframes,,,"['tensorflow', 'spark']",,17681.0,1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000,1.0,17681.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +732,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2023-07-02 20:27:29.000000,2021-07-30 15:06:27,104.0,,128.0,30.0,28.0,21.0,34.0,751.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,20,False,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,['sklearn'],,216.0,44.0,42.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,2.0,216.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +733,NearPy,pixelogik/NearPy,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000,2023-02-23 15:20:18.000000,2023-01-22 20:07:16,161.0,,147.0,37.0,33.0,25.0,39.0,750.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",20.0,20,True,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,591.0,113.0,97.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,16.0,591.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +734,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2023-10-03 19:59:49.000000,2023-08-29 06:49:30,294.0,,62.0,23.0,47.0,10.0,17.0,730.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,20,True,2023-08-29 06:52:02.000,0.2.16,22.0,evojax,conda-forge/evojax,,['jax'],,1381.0,20.0,18.0,https://pypi.org/project/evojax,2023-08-29 06:52:02.000,2.0,410.0,https://anaconda.org/conda-forge/evojax,2023-08-29 10:08:55.843,22355.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +735,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000,2022-12-26 20:24:35.000000,2019-10-21 07:52:07,46.0,,52.0,30.0,12.0,11.0,15.0,629.0,Log TensorBoard events without touching TensorFlow.,5.0,20,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,5368.0,221.0,167.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,54.0,5368.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +736,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2023-07-28 19:05:13.000000,2022-02-09 16:35:40,142.0,,105.0,24.0,25.0,43.0,61.0,607.0,Build fully-functioning computer vision models with PyTorch.,12.0,20,False,2022-02-02 00:22:07.000,1.2.2,13.0,detecto,conda-forge/detecto,,['pytorch'],,1624.0,157.0,155.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,1511.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,3510.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +737,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2023-06-16 16:12:33.889000,2022-06-08 03:46:02,305.0,,103.0,10.0,14.0,5.0,16.0,567.0,Make Waffle Charts in Python.,6.0,20,False,2022-06-08 03:10:36.000,1.1.0,27.0,pywaffle,conda-forge/pywaffle,,,,3213.0,315.0,311.0,https://pypi.org/project/pywaffle,2022-06-08 03:10:36.000,4.0,3027.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,11347.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +738,seglearn,dmbee/seglearn,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000,2022-08-27 09:01:18.000000,2022-08-27 09:00:35,283.0,,64.0,29.0,31.0,5.0,24.0,560.0,Python module for machine learning time series:.,14.0,20,False,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,505.0,48.0,46.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,505.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +739,pyhsmm,mattjj/pyhsmm,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000,2022-10-26 08:37:57.000000,2020-08-24 17:03:59,1426.0,,165.0,57.0,20.0,39.0,60.0,535.0,Bayesian inference in HSMMs and HMMs.,13.0,20,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,53.0,32.0,27.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,5.0,53.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +740,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2023-06-16 16:14:43.440000,2021-12-19 09:41:43,133.0,,53.0,11.0,20.0,12.0,37.0,518.0,Joyplots in Python with matplotlib & pandas.,6.0,20,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,7974.0,340.0,331.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,9.0,7563.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,23860.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +741,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2023-12-29 09:08:36.000000,2023-07-18 10:24:07,542.0,,35.0,14.0,223.0,15.0,40.0,477.0,Monitor the stability of a Pandas or Spark dataframe.,17.0,20,True,2023-07-18 10:32:00.587,1.4.6,36.0,popmon,,,"['pandas', 'spark']",138.0,6238.0,22.0,20.0,https://pypi.org/project/popmon,2023-07-18 10:32:00.587,2.0,6235.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +742,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2024-01-10 08:10:56.000000,2024-01-10 08:10:55,2818.0,85.0,60.0,12.0,255.0,9.0,109.0,413.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,22.0,20,True,2023-07-13 11:41:03.541,0.1.2,12.0,pykale,,,['pytorch'],,55.0,1.0,1.0,https://pypi.org/project/pykale,2022-04-12 08:56:50.000,,55.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +743,model-card-toolkit,tensorflow/model-card-toolkit,interpretability,,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000,2023-07-26 12:05:00.000000,2023-07-26 12:04:59,273.0,,80.0,20.0,247.0,10.0,23.0,397.0,A toolkit that streamlines and automates the generation of model cards.,22.0,20,True,2023-04-03 18:05:05.715,2.0.0,12.0,model-card-toolkit,,,,17.0,1163.0,24.0,23.0,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,1.0,1163.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +744,TimeSide,Parisson/TimeSide,audio,,https://github.com/yomguy/TimeSide,https://github.com/yomguy/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2023-10-24 10:20:08.000000,2023-02-01 10:38:52,3728.0,,61.0,27.0,110.0,32.0,184.0,359.0,scalable audio processing framework and server written in Python.,22.0,20,False,2023-01-03 17:34:09.000,1.1.3,28.0,TimeSide,,,,,83.0,30.0,16.0,https://pypi.org/project/TimeSide,2020-11-27 09:33:19.000,14.0,83.0,,,,3.0,,,yomguy/TimeSide,,,,,,,,,,,,,,,,,,,, +745,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2024-01-09 17:09:55.000000,2023-11-17 08:50:12,72.0,3.0,58.0,8.0,11.0,11.0,18.0,356.0,TextAugment: Text Augmentation Library.,8.0,20,True,2023-11-16 20:54:10.000,2.0.0,9.0,textaugment,,,,64.0,4128.0,76.0,72.0,https://pypi.org/project/textaugment,2023-11-16 20:49:04.000,4.0,4127.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +746,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42.0,,46.0,26.0,19.0,15.0,16.0,325.0,Logging MXNet data for visualization in TensorBoard.,9.0,20,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,['mxnet'],,1593.0,238.0,232.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,6.0,1593.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +747,sk-dist,Ibotta/sk-dist,distributed-ml,,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000,2023-03-23 15:39:49.000000,2023-02-07 20:17:52,60.0,,56.0,26.0,41.0,8.0,10.0,287.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,20,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,"['sklearn', 'spark']",,265877.0,18.0,16.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,265877.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +748,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2023-12-04 13:11:50.000000,2023-12-04 13:11:50,418.0,16.0,74.0,22.0,431.0,28.0,51.0,265.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,31.0,20,False,2023-10-25 10:51:36.000,0.2.1,23.0,pipeline-dp,,,,,130.0,1.0,1.0,https://pypi.org/project/pipeline-dp,2023-11-22 19:01:05.000,,130.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +749,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2024-01-18 09:09:11.000000,2023-01-26 17:04:18,400.0,,103.0,19.0,392.0,68.0,86.0,250.0,An open-source toolkit for large-scale genomic analysis.,24.0,20,False,2022-04-21 00:32:28.000,1.2.1,15.0,glow.py,conda-forge/glow,,,,52295.0,,,https://pypi.org/project/glow.py,2022-04-19 23:43:38.000,,52187.0,https://anaconda.org/conda-forge/glow,2023-06-16 19:24:57.965,3796.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +750,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2024-01-02 08:24:08.000000,2023-07-02 18:02:16,1462.0,,45.0,15.0,161.0,18.0,62.0,234.0,Python Implementation and Extension of RDF2Vec.,7.0,20,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,204.0,41.0,39.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,2.0,204.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +751,Larq Compute Engine,larq/compute-engine,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000,2024-01-18 07:16:13.000000,2024-01-18 07:16:12,582.0,6.0,32.0,24.0,635.0,21.0,127.0,232.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,20,False,2023-08-10 10:30:37.000,0.13.0,20.0,larq-compute-engine,,,,993.0,937.0,7.0,7.0,https://pypi.org/project/larq-compute-engine,2023-08-10 10:30:37.000,,916.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +752,pyfasttext,vrasneur/pyfasttext,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12,153.0,,31.0,9.0,4.0,20.0,29.0,228.0,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,365.0,1194.0,405.0,391.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,14.0,1190.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +753,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2023-05-01 07:53:03.000000,2023-05-01 07:50:02,24.0,,23.0,8.0,11.0,5.0,9.0,210.0,A Python module to convert natural language numerics into ints and floats.,4.0,20,False,2023-05-01 07:55:52.405,0.2.3,11.0,numerizer,,,,,61337.0,70.0,68.0,https://pypi.org/project/numerizer,2023-01-03 08:08:01.830,2.0,61337.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +754,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2024-01-10 11:52:49.000000,2024-01-10 11:52:48,177.0,11.0,1028.0,120.0,24.0,11.0,352.0,4174.0,An Open-Source Package for Neural Relation Extraction (NRE).,13.0,19,True,,,,,,,,,,3.0,3.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +755,igel,nidhaloff/igel,hyperopt,,https://github.com/nidhaloff/igel,https://github.com/nidhaloff/igel,MIT,2020-08-27 20:54:59.000,2023-04-08 21:24:52.000000,2023-04-08 21:24:51,429.0,,168.0,66.0,54.0,6.0,44.0,3075.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",20.0,19,True,2021-11-19 16:51:47.000,1.0.0,34.0,igel,,,,40.0,87.0,4.0,4.0,https://pypi.org/project/igel,2021-11-19 16:45:29.543,,87.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +756,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2023-10-11 16:38:54.000000,2021-06-15 18:41:51,22.0,,260.0,33.0,19.0,27.0,37.0,2916.0,A small package to create visualizations of PyTorch execution graphs.,6.0,19,False,,,,,,,,,,1542.0,1542.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +757,pdftabextract,WZBSocialScienceCenter/pdftabextract,ocr,,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000,2022-06-24 09:51:22.000000,2022-06-24 09:51:22,171.0,,359.0,86.0,4.0,3.0,18.0,2134.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,19,False,,,,pdftabextract,,,,,304.0,48.0,48.0,https://pypi.org/project/pdftabextract,,,304.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +758,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-11-10 05:37:18.000000,2023-03-14 23:02:49,75.0,,170.0,23.0,20.0,15.0,30.0,1539.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,19,True,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,28.0,57.0,4.0,4.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,57.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +759,Performer Pytorch,lucidrains/performer-pytorch,pytorch-utils,,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000,2022-02-02 20:34:04.000000,2022-02-02 20:33:18,124.0,,139.0,17.0,11.0,41.0,43.0,1026.0,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,19,False,2022-02-02 20:34:04.000,1.1.4,80.0,performer-pytorch,,,['pytorch'],,1185.0,115.0,110.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,1185.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +760,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2023-12-13 18:40:36.000000,2023-12-13 18:40:36,436.0,9.0,187.0,61.0,7.0,13.0,29.0,1012.0,"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.",5.0,19,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,124.0,4.0,4.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,124.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +761,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2024-01-11 13:06:10.000000,2022-02-14 20:43:06,145.0,,165.0,18.0,42.0,22.0,59.0,858.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,19,False,2020-12-01 06:11:12.000,1.2.1.post2,7.0,robustness,conda-forge/robustness,,,,888.0,165.0,165.0,https://pypi.org/project/robustness,,,693.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,8000.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +762,pytorch2keras,gmalivenko/pytorch2keras,model-serialisation,,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000,2022-12-08 11:42:52.000000,2021-08-06 08:18:46,282.0,,143.0,15.0,24.0,58.0,69.0,845.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,428.0,91.0,90.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,428.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +763,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2023-06-19 20:23:17.000000,2022-10-01 22:21:50,400.0,,225.0,31.0,38.0,39.0,21.0,823.0,An open source python library for scalable Bayesian optimisation.,13.0,19,False,2022-10-01 22:28:00.848,0.1.7,10.0,dragonfly-opt,,,,,7392.0,2.0,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,2.0,7392.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +764,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2024-01-16 09:19:50.000000,2024-01-16 09:12:58,32.0,3.0,81.0,14.0,35.0,3.0,23.0,786.0,Leave One Feature Out Importance.,6.0,19,True,2024-01-16 09:19:50.000,0.3.4,14.0,lofo-importance,,,,,647.0,31.0,27.0,https://pypi.org/project/lofo-importance,2024-01-16 09:19:50.000,4.0,647.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +765,Auto TS,AutoViML/Auto_TS,time-series-data,,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000,2023-12-03 18:38:28.000000,2023-12-03 18:37:11,285.0,9.0,106.0,17.0,21.0,,85.0,657.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",11.0,19,True,2023-12-03 18:38:28.000,0.0.82,36.0,auto-ts,,,,,3841.0,,,https://pypi.org/project/auto-ts,2023-12-03 18:38:28.000,,3841.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +766,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2023-12-21 13:50:16.000000,2023-12-21 13:50:13,819.0,4.0,38.0,15.0,18.0,,20.0,584.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,19,True,2023-09-22 14:58:06.000,3.1.3,27.0,opytimizer,,,,,188.0,16.0,16.0,https://pypi.org/project/opytimizer,2022-05-04 20:51:15.000,,188.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +767,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2023-06-27 16:54:16.000000,2023-06-27 16:54:13,266.0,,75.0,39.0,17.0,13.0,22.0,561.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,20.0,19,True,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,277.0,35.0,31.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,277.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +768,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2023-07-09 16:15:44.000000,2023-07-09 16:09:49,767.0,,63.0,18.0,111.0,8.0,48.0,557.0,A simplified framework and utilities for PyTorch.,20.0,19,False,2023-07-09 16:15:44.000,1.17.1,37.0,poutyne,,,['pytorch'],,3272.0,134.0,129.0,https://pypi.org/project/poutyne,2022-04-28 20:18:33.000,5.0,3272.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +769,fastT5,Ki6an/fastT5,nlp,,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000,2023-04-24 18:46:40.000000,2022-04-05 03:21:24,38.0,,67.0,12.0,10.0,22.0,41.0,520.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,19,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,1126.0,45.0,45.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,1126.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +770,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2023-12-03 19:05:32.000000,2023-12-03 19:05:16,320.0,1.0,96.0,26.0,6.0,3.0,31.0,482.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,8.0,19,True,2023-05-21 22:50:00.406,0.1.716,142.0,autoviml,,,,,890.0,26.0,24.0,https://pypi.org/project/autoviml,2022-06-01 23:08:15.000,2.0,890.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +771,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2023-08-12 16:28:59.000000,2023-08-12 16:28:59,266.0,,105.0,20.0,56.0,27.0,20.0,468.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,19,True,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,1967.0,66.0,58.0,https://pypi.org/project/rrcf,2023-04-30 02:25:49.592,8.0,1967.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +772,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-12-15 19:23:10.000000,2022-05-23 17:26:29,339.0,,30.0,16.0,148.0,39.0,66.0,461.0,A High Level API for Deep Learning in JAX.,18.0,19,False,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,"['tensorflow', 'jax']",,220.0,43.0,43.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,220.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +773,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-11-07 11:11:44.000000,2023-11-07 11:10:46,137.0,5.0,105.0,71.0,7.0,15.0,19.0,419.0,semantic similarity framework for knowledge graph.,10.0,19,True,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,170.0,49.0,46.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,3.0,170.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +774,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2023-11-09 23:19:49.000000,2023-11-09 23:18:48,634.0,11.0,42.0,13.0,63.0,3.0,56.0,313.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,19,True,2023-01-11 12:25:50.000,2.09,35.0,ivis,,,['tensorflow'],,290.0,31.0,31.0,https://pypi.org/project/ivis,,,290.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +775,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2024-01-18 11:58:52.000000,2024-01-18 11:58:51,626.0,5.0,68.0,27.0,31.0,30.0,113.0,256.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",20.0,19,False,2021-10-31 08:33:47.000,1.7.6,13.0,somoclu,conda-forge/somoclu,,,1850.0,3444.0,,,https://pypi.org/project/somoclu,,,1297.0,https://anaconda.org/conda-forge/somoclu,2023-10-13 23:30:32.439,83090.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +776,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,BSD-3-Clause,2021-06-03 12:39:38.000,2024-01-08 17:42:09.000000,2023-12-05 10:10:07,457.0,28.0,49.0,14.0,77.0,13.0,35.0,230.0,Represent trained machine learning models as Pyomo optimization formulations.,17.0,19,False,2022-01-21 16:05:52.000,0.3.1,7.0,omlt,,,,,4994.0,1.0,,https://pypi.org/project/omlt,2022-02-08 01:23:07.000,1.0,4994.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +777,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2024-01-02 19:42:45.000000,2020-04-18 19:15:25,24.0,,909.0,131.0,39.0,31.0,10.0,7145.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,18,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,['pytorch'],,599.0,36.0,34.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,2.0,599.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +778,mesh-transformer-jax,kingoflolz/mesh-transformer-jax,distributed-ml,,https://github.com/kingoflolz/mesh-transformer-jax,https://github.com/kingoflolz/mesh-transformer-jax,Apache-2.0,2021-03-13 23:31:13.000,2023-01-21 00:09:29.000000,2023-01-12 19:54:10,143.0,,871.0,109.0,51.0,45.0,159.0,6169.0,Model parallel transformers in JAX and Haiku.,23.0,18,True,,,,,,,['jax'],,,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +779,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2023-06-16 13:22:46.522000,2020-02-09 21:03:48,299.0,,414.0,108.0,83.0,67.0,48.0,2927.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,['pytorch'],,108.0,,,,,,,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,8540.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +780,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2024-01-17 11:57:03.000000,2024-01-17 11:56:56,648.0,20.0,365.0,37.0,771.0,149.0,106.0,2717.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,74.0,18,True,,,,,,,['jax'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +781,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2023-03-24 22:29:09.000000,2019-10-02 23:26:11,132.0,,462.0,81.0,36.0,83.0,68.0,1674.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000,1.0.8,7.0,pyneuroner,,,,,171.0,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000,,171.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +782,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2023-03-03 23:59:33.000000,2022-05-24 23:48:09,791.0,,71.0,26.0,1004.0,127.0,65.0,1640.0,Version control for machine learning.,17.0,18,False,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,795.0,1.0,,https://pypi.org/project/keepsake,2021-01-25 21:51:16.000,1.0,795.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +783,AdvBox,advboxes/AdvBox,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000,2023-02-15 19:57:27.000000,2022-08-08 02:56:23,378.0,,251.0,57.0,65.0,8.0,31.0,1359.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,18,False,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,23.0,2.0,2.0,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,23.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +784,tffm,geffy/tffm,tensorflow-utils,,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000,2022-01-17 20:39:04.000000,2022-01-17 20:38:58,107.0,,188.0,33.0,15.0,18.0,22.0,786.0,TensorFlow implementation of an arbitrary order Factorization Machine.,11.0,18,False,2022-01-17 20:35:57.000,1.0.2,3.0,tffm,,,['tensorflow'],,47.0,14.0,13.0,https://pypi.org/project/tffm,2022-01-17 20:35:57.000,1.0,47.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +785,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2023-10-03 22:41:56.000000,2021-09-16 17:56:31,171.0,,143.0,35.0,80.0,14.0,55.0,602.0,Code for the TCAV ML interpretability project.,19.0,18,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,['tensorflow'],,106.0,22.0,19.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,106.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +786,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2023-10-01 08:59:57.840000,2021-04-11 07:50:00,405.0,,29.0,19.0,42.0,6.0,18.0,594.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,False,2020-11-15 13:40:18.000,0.4.2,15.0,baikal,conda-forge/cython-blis,,,,51293.0,11.0,10.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,355.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2037525.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +787,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775.0,,137.0,58.0,72.0,18.0,71.0,523.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",17.0,18,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,88.0,18.0,18.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,88.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +788,scikit-tda,scikit-tda/scikit-tda,sklearn-utils,,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000,2022-03-13 16:33:15.000000,2022-03-13 16:33:15,64.0,,50.0,18.0,7.0,16.0,4.0,471.0,Topological Data Analysis for Python.,4.0,18,False,2021-08-03 00:23:20.000,1.0.0,4.0,scikit-tda,,,['sklearn'],,2223.0,50.0,50.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000,,2223.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +789,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2023-10-04 01:35:07.000000,2023-09-04 05:41:43,372.0,,95.0,28.0,21.0,36.0,12.0,466.0,A python library for Bayesian time series modeling.,6.0,18,True,2023-05-07 06:30:08.000,0.1.1.12,1.0,pydlm,,,,,21290.0,33.0,33.0,https://pypi.org/project/pydlm,,,21290.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +790,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2024-01-10 20:36:33.000000,2021-11-25 23:08:43,204.0,,89.0,24.0,19.0,7.0,20.0,454.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,False,2021-11-25 23:19:05.000,1.1.1,42.0,caserecommender,,,['sklearn'],,143.0,12.0,12.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000,,143.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +791,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2023-06-16 16:14:07.121000,2020-10-05 06:14:18,178.0,,39.0,11.0,29.0,15.0,17.0,405.0,A python package for animating plots build on matplotlib.,7.0,18,False,2019-03-05 21:32:47.000,0.4.1,7.0,animatplot,conda-forge/animatplot,,,,617.0,56.0,56.0,https://pypi.org/project/animatplot,,,400.0,https://anaconda.org/conda-forge/animatplot,2023-06-16 16:14:07.121,12824.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +792,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2024-01-18 08:31:50.000000,2023-08-19 12:43:22,678.0,,56.0,30.0,78.0,12.0,25.0,351.0,A Python implementation of active inference for Markov Decision Processes.,14.0,18,True,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,181.0,9.0,9.0,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,181.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +793,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2024-01-05 19:57:49.000000,2023-10-04 14:18:48,810.0,,23.0,7.0,68.0,27.0,19.0,343.0,Flexible time series feature extraction & processing.,6.0,18,True,2023-02-23 13:56:43.000,0.3.0,36.0,tsflex,conda-forge/tsflex,,,,898.0,11.0,11.0,https://pypi.org/project/tsflex,2022-10-11 21:38:11.312,,231.0,https://anaconda.org/conda-forge/tsflex,2023-06-16 19:26:46.251,20039.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +794,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2023-03-07 22:10:10.175000,2021-08-18 06:06:51,1404.0,,17.0,6.0,217.0,4.0,26.0,340.0,Camphr - NLP libary for creating pipeline components.,8.0,18,False,2023-03-07 22:10:10.175,0.8.9,49.0,camphr,,,['spacy'],,403.0,15.0,13.0,https://pypi.org/project/camphr,2023-03-07 22:10:10.175,2.0,403.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +795,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2024-01-16 18:36:21.000000,2024-01-16 18:36:16,318.0,2.0,78.0,26.0,328.0,21.0,9.0,327.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,34.0,18,True,2023-05-03 23:01:17.460,0.44.0,30.0,fairness-indicators,,,"['tensorflow', 'jupyter']",,1711.0,,,https://pypi.org/project/fairness-indicators,2022-12-13 19:06:03.653,,1711.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +796,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823.0,,51.0,11.0,60.0,17.0,41.0,325.0,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,18,False,2020-07-31 05:29:09.000,1.0.7,8.0,parameter-sherpa,,,,,188.0,37.0,33.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,4.0,188.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +797,textpipe,textpipe/textpipe,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53,371.0,,27.0,22.0,239.0,24.0,25.0,300.0,Textpipe: clean and extract metadata from text.,29.0,18,False,2021-01-25 14:05:21.000,0.12.2,39.0,textpipe,,,,,102.0,9.0,8.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000,1.0,102.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +798,solt,Oulu-IMEDS/solt,image,,https://github.com/Oulu-IMEDS/solt,https://github.com/Oulu-IMEDS/solt,MIT,2018-08-02 15:09:05.000,2023-07-17 13:39:53.000000,2022-07-12 07:44:31,366.0,,19.0,6.0,31.0,20.0,39.0,260.0,Streaming over lightweight data transformations.,5.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,643.0,54.0,51.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,643.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +799,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2023-07-26 15:59:24.000000,2023-07-21 09:03:49,260.0,,30.0,12.0,197.0,20.0,73.0,186.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",11.0,18,False,2020-10-12 12:26:09.000,0.5.1,3.0,celer,,,['sklearn'],,554.0,32.0,32.0,https://pypi.org/project/celer,,,554.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +800,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2023-12-15 03:22:24.000000,2023-12-15 03:22:22,207.0,4.0,11.0,8.0,2.0,,5.0,178.0,"Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers.",3.0,18,False,2023-12-15 03:21:06.000,0.1.29,25.0,ipyexperiments,,,['jupyter'],,345.0,10.0,8.0,https://pypi.org/project/ipyexperiments,2023-12-15 03:21:06.000,2.0,345.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +801,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2024-01-15 21:10:45.000000,2024-01-15 20:53:58,849.0,20.0,17.0,8.0,177.0,14.0,20.0,149.0,Toolkit for developing and maintaining ML models.,14.0,18,False,2024-01-15 21:13:47.000,0.1.0,33.0,modelkit,,,,,2802.0,,,https://pypi.org/project/modelkit,2024-01-15 21:10:45.000,,2802.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +802,nvidia-ml-py3,nicolargo/nvidia-ml-py3,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000,2023-07-28 07:11:13.000000,2019-03-06 20:41:09,5.0,,57.0,5.0,2.0,2.0,1.0,126.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,18,False,2017-06-03 07:43:46.000,7.352.0,1.0,nvidia-ml-py3,anaconda/nvidia-ml,,,,297402.0,8739.0,8553.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,186.0,297367.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,1054.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +803,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/google-deepmind/lab,https://github.com/google-deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,,1383.0,471.0,21.0,59.0,166.0,6964.0,A customisable 3D platform for agent-based AI research.,9.0,17,False,2020-12-07 11:26:33.000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,3.0,,,google-deepmind/lab,,,,,,,,,,,,,,,,,,,, +804,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000,2024-01-10 11:51:05.000000,2024-01-10 11:51:05,143.0,29.0,958.0,103.0,28.0,21.0,355.0,3638.0,An Open-Source Package for Knowledge Embedding (KE).,14.0,17,True,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +805,Advisor,tobegit3hub/advisor,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31,165.0,,256.0,52.0,13.0,20.0,13.0,1537.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000,0.1.6,4.0,advisor,,,,,52.0,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000,,30.0,,,,3.0,,,,,,,,,tobegit3hub/advisor,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1685.0,,,,,,,,,, +806,Torch-Struct,harvardnlp/pytorch-struct,pytorch-utils,,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000,2022-04-20 08:21:20.000000,2022-01-30 19:49:08,271.0,,87.0,35.0,72.0,25.0,30.0,1096.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,17,False,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,['pytorch'],,2209.0,,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,,2209.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +807,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2023-03-19 22:55:22.000000,2021-03-15 07:00:08,66.0,,112.0,21.0,37.0,20.0,8.0,1042.0,Distributed Computing for AI Made Simple.,5.0,17,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,45.0,70.0,69.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,45.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +808,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2023-06-16 19:27:38.210000,2022-04-07 20:49:56,235.0,,36.0,13.0,13.0,8.0,16.0,746.0,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,17,False,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,['pytorch'],,2642.0,29.0,29.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,2539.0,https://anaconda.org/conda-forge/tensor-sensor,2023-06-16 19:27:38.210,2807.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +809,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2023-10-13 12:16:35.000000,2023-04-01 08:26:45,5080.0,,111.0,19.0,58.0,2.0,13.0,728.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,17,True,2021-10-13 21:04:12.000,2.0.8,119.0,caer,,https://caer.rtfd.io,,28.0,2812.0,2.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000,2.0,2812.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +810,matrixprofile-ts,target/matrixprofile-ts,time-series-data,,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000,2023-04-23 10:08:18.000000,2020-04-25 18:37:42,198.0,,101.0,26.0,48.0,19.0,35.0,723.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,17,False,,,,matrixprofile-ts,,,,,295.0,24.0,24.0,https://pypi.org/project/matrixprofile-ts,,,295.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +811,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2023-09-21 18:53:21.000000,2023-09-21 18:53:18,1296.0,,122.0,43.0,435.0,25.0,130.0,701.0,GPU accelerated signal processing.,46.0,17,True,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +812,nboost,koursaros-ai/nboost,nlp,,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25,1336.0,,65.0,18.0,21.0,29.0,50.0,673.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,17,False,2020-06-12 20:05:15.000,0.3.9,26.0,nboost,,,,,23.0,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000,,23.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +813,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2023-10-25 00:20:13.000000,2022-08-24 08:31:37,29.0,,66.0,6.0,5.0,2.0,27.0,514.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,2.0,17,False,2022-08-24 08:33:07.000,0.2.6,9.0,shap-hypetune,,,,,2290.0,16.0,15.0,https://pypi.org/project/shap-hypetune,2022-08-24 08:33:00.976,1.0,2290.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +814,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2023-01-15 22:50:39.000000,2023-01-13 21:57:34,832.0,,41.0,,,,,359.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,17,True,2023-03-23 17:16:00.413,0.12.0,48.0,sklearn-evaluation,,,['sklearn'],,2007.0,5.0,,https://pypi.org/project/sklearn-evaluation,2020-12-28 15:13:44.000,5.0,2007.0,,,,3.0,7.0,,,,,,,,,,,,,,,,,,,,,, +815,datmo,datmo/datmo,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000,2022-06-21 21:41:58.000000,2019-11-29 00:48:44,1051.0,,30.0,11.0,121.0,31.0,150.0,346.0,Open source production model management tool for data scientists.,6.0,17,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,113.0,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,113.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +816,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2023-12-12 01:10:32.000000,2023-11-27 22:11:53,398.0,2.0,128.0,34.0,323.0,81.0,129.0,319.0,Brain Imaging Analysis Kit.,35.0,17,True,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,,,,107.0,1.0,,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000,1.0,89.0,,,,3.0,,,,,,,,,brainiak/brainiak,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,1803.0,,,,,,,,,, +817,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/google-deepmind/launchpad,https://github.com/google-deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2023-08-22 08:22:46.000000,2023-08-22 08:22:26,367.0,,33.0,18.0,6.0,18.0,21.0,306.0,,28.0,17,False,,,,dm-launchpad,,,['tensorflow'],,975.0,80.0,80.0,https://pypi.org/project/dm-launchpad,,,975.0,,,,3.0,-4.0,,google-deepmind/launchpad,,,,,,,,,,,,,,,,,,,, +818,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2023-03-28 03:38:13.000000,2023-03-28 03:38:13,1094.0,,69.0,28.0,57.0,30.0,32.0,290.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,17,False,2021-05-15 01:39:45.000,0.3.0,10.0,bluefog,,,['pytorch'],164.0,75.0,3.0,3.0,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,72.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +819,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2023-06-15 16:53:56.000000,2023-06-15 16:53:55,703.0,,42.0,11.0,59.0,29.0,47.0,232.0,Scikit-learn compatible estimation of general graphical models.,7.0,17,False,2018-09-12 01:11:31.000,0.2.8,6.0,skggm,,,['sklearn'],,31.0,12.0,12.0,https://pypi.org/project/skggm,,,31.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +820,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36,293.0,,33.0,14.0,36.0,8.0,44.0,224.0,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,33.0,24.0,22.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,33.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +821,SerpentAI,SerpentAI/SerpentAI,reinforcement-learning,,https://github.com/SerpentAI/SerpentAI,https://github.com/SerpentAI/SerpentAI,MIT,2017-04-16 21:48:39.000,2022-11-07 01:59:31.000000,2020-05-22 22:34:09,250.0,,765.0,339.0,58.0,2.0,,6642.0,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,16,False,,,1.0,SerpentAI,,,,325.0,91.0,,,https://pypi.org/project/SerpentAI,,,84.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +822,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2022-12-04 04:02:21.000000,2019-12-13 19:03:25,138.0,,539.0,178.0,110.0,54.0,149.0,3903.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +823,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2022-06-22 11:47:45.000000,2022-06-21 18:24:09,30.0,,1015.0,63.0,12.0,43.0,25.0,3518.0,Implementation and experiments of graph embedding algorithms.,9.0,16,False,,,,,,,['sklearn'],,,31.0,31.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +824,automl-gs,minimaxir/automl-gs,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14,102.0,,167.0,61.0,10.0,26.0,6.0,1841.0,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,16,False,2019-04-05 06:51:04.000,0.2.1,2.0,automl_gs,,,,41.0,32.0,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,32.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +825,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316.0,,109.0,57.0,34.0,22.0,13.0,1268.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,16,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,59.0,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,59.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +826,Tez,abhishekkrthakur/tez,pytorch-utils,,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000,2023-01-29 16:52:18.000000,2022-09-16 11:03:31,144.0,,143.0,18.0,11.0,25.0,18.0,1158.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,16,False,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,['pytorch'],,131.0,51.0,49.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,131.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +827,XAI,EthicalML/xai,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12,91.0,,147.0,45.0,5.0,3.0,7.0,1000.0,XAI - An eXplainability toolbox for machine learning.,3.0,16,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,143.0,29.0,23.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,6.0,143.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +828,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2023-04-11 19:24:43.000000,2023-04-11 19:24:38,24.0,,56.0,18.0,7.0,1.0,10.0,793.0,MADGRAD Optimization Method.,2.0,16,True,,,4.0,madgrad,,,['pytorch'],,2909.0,68.0,67.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,1.0,2909.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +829,parallelformers,tunib-ai/parallelformers,distributed-ml,,https://github.com/tunib-ai/parallelformers,https://github.com/tunib-ai/parallelformers,Apache-2.0,2021-07-17 12:50:43.000,2023-04-24 11:42:30.000000,2022-07-27 19:55:38,93.0,,56.0,15.0,10.0,26.0,17.0,736.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,16,False,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,516.0,41.0,41.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,516.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +830,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2023-09-21 07:22:50.000000,2023-09-21 07:22:50,127.0,,88.0,17.0,15.0,10.0,22.0,717.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,['pytorch'],,184.0,15.0,15.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,184.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +831,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40,1096.0,,100.0,25.0,101.0,37.0,84.0,702.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,False,2021-02-16 11:34:12.211,3.0.0,16.0,hyperparameter-hunter,,,,411.0,84.0,1.0,,https://pypi.org/project/hyperparameter-hunter,2018-06-14 02:21:57.000,1.0,78.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +832,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2023-09-26 02:55:16.000000,2023-09-26 02:55:09,610.0,,81.0,25.0,4.0,37.0,42.0,683.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,11.0,16,True,2019-05-07 08:47:56.000,0.3.2,3.0,thundergbm,,,,,127.0,2.0,2.0,https://pypi.org/project/thundergbm,,,127.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +833,textflint,textflint/textflint,adversarial,,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000,2022-09-27 17:09:16.000000,2022-06-21 04:27:47,257.0,,93.0,18.0,19.0,3.0,29.0,624.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,16,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,84.0,12.0,12.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,84.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +834,kglib,vaticle/kglib,graph,,https://github.com/vaticle/typedb-ml,https://github.com/vaticle/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2023-11-18 17:08:08.000000,2023-11-18 17:08:08,508.0,1.0,98.0,39.0,106.0,12.0,51.0,548.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,11.0,16,True,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,220.0,92.0,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,89.0,,,,3.0,,,vaticle/typedb-ml,,,,,,,,,,,,,,,,,,,, +835,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2023-12-15 23:01:56.000000,2023-10-11 20:12:03,257.0,,66.0,23.0,91.0,19.0,15.0,493.0,"Research workflows made easy, locally and in the Cloud.",10.0,16,True,2023-06-16 17:26:21.434,0.4.2,11.0,caliban,,,,,63.0,1.0,1.0,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,63.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +836,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2024-01-08 18:31:51.000000,2024-01-08 18:31:46,136.0,4.0,42.0,20.0,165.0,3.0,63.0,433.0,A collection of tools for neural compression enthusiasts.,9.0,16,True,2023-10-03 14:26:28.000,0.3.1,6.0,neuralcompression,,,,,91.0,,,https://pypi.org/project/neuralcompression,2023-10-03 14:26:28.000,,91.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +837,OpenRec,ylongqi/openrec,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000,2023-03-24 23:54:19.000000,2020-02-19 07:57:17,213.0,,84.0,36.0,47.0,5.0,12.0,405.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,32.0,3.0,2.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,32.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +838,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2023-06-16 16:08:23.527000,2021-02-15 17:10:59,283.0,,69.0,24.0,48.0,15.0,19.0,391.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",13.0,16,False,,,5.0,skrebate,conda-forge/skrebate,,['sklearn'],,3914.0,,,https://pypi.org/project/skrebate,,,3470.0,https://anaconda.org/conda-forge/skrebate,2023-06-16 16:08:23.527,32006.0,3.0,-4.0,,,,,,,,,,,,,,,,,,,,,, +839,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2024-01-15 19:35:50.000000,2024-01-15 19:35:42,191.0,3.0,51.0,10.0,14.0,10.0,29.0,375.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,5.0,16,True,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,13.0,377.0,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,377.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +840,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2024-01-02 09:08:58.000000,2024-01-02 09:08:58,172.0,2.0,38.0,21.0,5.0,11.0,23.0,352.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,True,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,['tensorflow'],,62.0,2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000,2.0,62.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +841,pdvega,altair-viz/pdvega,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13,177.0,,33.0,24.0,21.0,17.0,10.0,345.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,71.0,93.0,86.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,7.0,71.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +842,pandas-ml,pandas-ml/pandas-ml,others,,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55,153.0,,72.0,19.0,93.0,25.0,18.0,308.0,"pandas, scikit-learn, xgboost and seaborn integration.",4.0,16,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,"['sklearn', 'pandas']",8.0,1784.0,,,https://pypi.org/project/pandas-ml,,,1784.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +843,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000,2023-02-22 05:20:46.000000,2021-11-19 06:05:15,700.0,,18.0,13.0,271.0,70.0,175.0,295.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,16,False,,,5.0,data-describe,,,,,1641.0,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,1641.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +844,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2023-10-03 23:52:47.440000,2023-07-17 09:18:00,166.0,,39.0,19.0,2.0,10.0,7.0,278.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,16,False,2020-10-01 13:20:38.000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,['pandas'],,4751.0,8.0,8.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000,,319.0,https://anaconda.org/conda-forge/deepgraph,2023-10-03 23:52:47.440,172851.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +845,skift,shaypal5/skift,nlp,,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000,2022-06-07 15:07:07.000000,2022-06-07 15:07:04,141.0,,24.0,11.0,8.0,1.0,10.0,234.0,scikit-learn wrappers for Python fastText.,9.0,16,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,['sklearn'],,719.0,13.0,13.0,https://pypi.org/project/skift,2018-03-15 09:05:47.000,,719.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +846,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2024-01-01 20:21:14.000000,2023-12-06 19:59:05,370.0,1.0,38.0,6.0,132.0,,35.0,221.0,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,16,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,801.0,1.0,,https://pypi.org/project/chitra,2022-01-09 08:50:45.005,1.0,683.0,https://anaconda.org/conda-forge/chitra,2023-06-18 08:40:33.534,2848.0,3.0,,,aniketmaurya/chitra,,,,,,,,,,,,,,,,,,,, +847,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37,127.0,,29.0,5.0,4.0,6.0,5.0,199.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,16,False,,,23.0,parfit,,,['sklearn'],,3023.0,26.0,26.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,3023.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +848,Torch Points 3D,nicolas-chaulet/torch-points3d,image,,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2022-01-09 14:41:37.000,2021-12-10 20:17:18.000000,2021-12-10 20:17:18,1788.0,,41.0,1.0,,,,177.0,Pytorch framework for doing deep learning on point clouds.,29.0,16,False,2021-04-30 09:00:22.000,1.3.0,14.0,torch-points3d,,,['pytorch'],,576.0,,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000,,576.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +849,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69.0,,32.0,14.0,54.0,16.0,50.0,136.0,"Lightweight, Python library for fast and reproducible experimentation.",7.0,16,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,41.0,55.0,50.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,41.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +850,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2024-01-09 19:00:03.000000,2024-01-09 18:05:38,305.0,3.0,9.0,5.0,3.0,1.0,,126.0,Data Analysis Baseline Library.,24.0,16,False,2023-02-28 01:21:03.335,0.2.5,17.0,dabl,,,['sklearn'],,1119.0,1.0,,https://pypi.org/project/dabl,2024-01-09 18:32:27.000,1.0,1119.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +851,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2023-10-25 21:33:40.000000,2023-03-31 15:44:32,231.0,,20.0,28.0,52.0,7.0,7.0,102.0,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",15.0,16,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,['pytorch'],,171.0,41.0,41.0,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,171.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +852,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2023-08-19 12:30:48.000000,2020-07-29 05:53:01,8.0,,560.0,141.0,28.0,217.0,102.0,2868.0,A distributed graph deep learning framework.,5.0,15,False,2020-07-07 02:24:18.000,2.0.0,2.0,euler-gl,,,['tensorflow'],,3.0,,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000,,3.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +853,ZhuSuan,thu-ml/zhusuan,probabilistics,,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000,2022-12-17 20:33:19.000000,2019-08-05 10:00:04,439.0,,423.0,143.0,72.0,12.0,53.0,2196.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +854,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2024-01-10 11:53:25.000000,2024-01-10 11:53:25,104.0,5.0,483.0,68.0,26.0,5.0,97.0,1667.0,An Open-Source Package for Network Embedding (NE).,13.0,15,True,,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +855,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2023-09-21 16:18:30.000000,2021-04-02 03:03:34,211.0,,215.0,40.0,40.0,59.0,34.0,1104.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +856,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2023-07-27 14:39:30.000000,2023-05-18 02:26:52,1358.0,,116.0,19.0,295.0,3.0,69.0,1046.0,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,15,True,2022-12-28 02:06:22.000,2.0.0,10.0,textbox,,,,,1.0,5.0,5.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,1.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +857,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2023-12-27 10:05:56.000000,2023-10-21 13:07:20,740.0,1.0,114.0,27.0,109.0,11.0,24.0,1045.0,An autoML framework & toolkit for machine learning on graphs.,15.0,15,True,2022-12-30 06:11:04.000,0.4.0,4.0,auto-graph-learning,,,['pytorch'],,,,,https://pypi.org/project/auto-graph-learning,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +858,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2022-12-27 06:48:51.000000,2021-04-16 18:50:54,57.0,,121.0,50.0,21.0,15.0,9.0,826.0,A medical imaging framework for Pytorch.,8.0,15,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,['pytorch'],,57.0,14.0,14.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,57.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +859,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2023-04-27 20:56:00.000000,2022-06-10 23:04:56,813.0,,196.0,43.0,667.0,28.0,27.0,811.0,Translate - a PyTorch Language Library.,88.0,15,False,,,1.0,pytorch-translate,,,['pytorch'],,11.0,,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000,,11.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +860,Anchor,marcotcr/anchor,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000,2022-07-19 18:09:12.000000,2022-07-19 18:08:39,47.0,,110.0,27.0,10.0,24.0,51.0,774.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,15,False,,,10.0,anchor_exp,,,,,930.0,2.0,,https://pypi.org/project/anchor_exp,2020-09-10 22:52:00.000,2.0,930.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +861,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170.0,,39.0,26.0,4.0,4.0,2.0,671.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,15,False,2020-01-06 05:27:17.000,0.1.6,14.0,SpeedTorch,,,['pytorch'],,38.0,7.0,5.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000,2.0,38.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +862,KD-Lib,SforAiDl/KD_Lib,others,,https://github.com/SforAiDl/KD_Lib,https://github.com/SforAiDl/KD_Lib,MIT,2020-05-10 13:08:42.000,2023-03-01 21:06:37.000000,2023-03-01 21:03:09,298.0,,52.0,17.0,83.0,18.0,49.0,561.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,15,True,2022-05-18 08:35:04.000,0.0.32,8.0,KD-Lib,,,['pytorch'],,58.0,,,https://pypi.org/project/KD-Lib,2022-05-18 08:35:04.000,,58.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +863,Pywick,achaiah/pywick,pytorch-utils,,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000,2022-02-04 15:57:11.000000,2021-10-22 03:09:17,149.0,,38.0,16.0,39.0,2.0,13.0,397.0,High-level batteries-included neural network training library for Pytorch.,4.0,15,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,['pytorch'],,112.0,9.0,9.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,112.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +864,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2023-06-16 19:21:01.312000,2018-08-29 15:31:30,15.0,,57.0,19.0,6.0,6.0,,389.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,15,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,162.0,10.0,9.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,22.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,5892.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +865,Headliner,as-ideas/headliner,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276.0,,41.0,17.0,7.0,2.0,13.0,231.0,Easy training and deployment of seq2seq models.,2.0,15,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,152.0,6.0,5.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,152.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +866,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2023-09-27 23:13:07.000000,2020-06-02 21:10:26,51.0,,27.0,11.0,15.0,6.0,4.0,219.0,Draw interactive NetworkX graphs with Altair.,3.0,15,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,['jupyter'],,441.0,8.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,8.0,441.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +867,HugsVision,qanastek/HugsVision,image,,https://github.com/qanastek/HugsVision,https://github.com/qanastek/HugsVision,MIT,2021-08-12 21:46:08.000,2023-08-13 00:37:26.000000,2023-01-22 01:25:39,75.0,,18.0,5.0,2.0,16.0,23.0,186.0,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,15,False,2023-01-22 01:21:35.467,0.75.5,78.0,hugsvision,,,['huggingface'],,473.0,11.0,11.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,473.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +868,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2022-11-21 22:24:51.000000,2018-09-19 19:27:00,59.0,,818.0,78.0,34.0,116.0,59.0,3233.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +869,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2023-10-04 00:38:12.000000,2022-04-04 08:29:54,41.0,,294.0,54.0,20.0,42.0,85.0,1248.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,14,False,,,,,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +870,Skater,oracle/Skater,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000,2023-09-18 15:13:22.392000,,,,182.0,,,72.0,,1067.0,Python Library for Model Interpretation/Explanations.,7.0,14,False,2018-09-21 07:03:32.000,1.1.2,23.0,skater,conda-forge/skater,,,,1690.0,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000,,191.0,https://anaconda.org/conda-forge/skater,2023-09-18 15:13:22.392,62995.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +871,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2023-11-17 13:57:42.000000,2023-05-29 18:33:56,62.0,,42.0,11.0,8.0,2.0,12.0,663.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",6.0,14,True,,,,rliable`,,,,,,111.0,111.0,https://pypi.org/project/rliable`,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +872,atspy,firmai/atspy,time-series-data,,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000,2022-11-21 21:55:23.000000,2021-12-18 09:26:18,99.0,,89.0,21.0,18.0,22.0,2.0,500.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,14,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,104.0,10.0,10.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,104.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +873,DESlib,scikit-learn-contrib/DESlib,sklearn-utils,,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000,2023-07-14 19:31:30.000000,2023-06-18 21:56:30,277.0,,78.0,14.0,126.0,17.0,136.0,460.0,A Python library for dynamic classifier and ensemble selection.,16.0,14,True,,,,deslib,,,['sklearn'],,906.0,,,https://pypi.org/project/deslib,,,906.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +874,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2024-01-16 19:59:37.000000,2024-01-16 19:59:36,150.0,2.0,67.0,20.0,172.0,87.0,17.0,392.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,18.0,14,True,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,['jupyter'],,59.0,,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,59.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +875,ptgnn,microsoft/ptgnn,graph,,https://github.com/microsoft/ptgnn,https://github.com/microsoft/ptgnn,MIT,2020-05-12 08:42:30.000,2022-02-01 17:31:29.000000,2022-02-01 17:31:29,99.0,,39.0,12.0,17.0,2.0,5.0,371.0,A PyTorch Graph Neural Network Library.,8.0,14,False,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,['pytorch'],,62.0,3.0,3.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,62.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +876,TorchDrift,torchdrift/torchdrift,pytorch-utils,,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000,2022-08-26 08:15:45.000000,2022-08-26 08:15:45,38.0,,15.0,11.0,6.0,9.0,6.0,300.0,Drift Detection for your PyTorch Models.,4.0,14,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,['pytorch'],,137.0,26.0,26.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,137.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +877,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21,219.0,,11.0,16.0,14.0,5.0,4.0,240.0,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",8.0,14,False,2021-04-20 13:53:12.000,0.1.2,14.0,backprop,,,,,155.0,2.0,2.0,https://pypi.org/project/backprop,2021-04-20 13:53:12.000,,155.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +878,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2023-12-14 11:42:36.000000,2023-11-24 19:47:45,314.0,14.0,7.0,8.0,124.0,7.0,9.0,102.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,14,False,2023-11-24 19:49:33.000,0.2.7,9.0,,,,['jax'],,,4.0,4.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +879,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2023-07-06 21:33:33.000000,2020-06-16 07:23:32,53.0,,481.0,110.0,12.0,39.0,8.0,2668.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +880,ml-ane-transformers,apple/ml-ane-transformers,model-serialisation,,https://github.com/apple/ml-ane-transformers,https://github.com/apple/ml-ane-transformers,,2022-06-03 16:36:06.000,2023-04-25 09:24:38.000000,2022-08-09 04:03:14,5.0,,77.0,47.0,4.0,3.0,,2422.0,Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE).,1.0,13,False,2022-08-09 04:22:55.000,0.1.3,4.0,ane-transformers,,,['pytorch'],53.0,1450.0,1.0,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,1.0,1448.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +881,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2023-08-23 08:35:09.000000,2022-06-30 14:05:23,118.0,,174.0,38.0,10.0,13.0,3.0,1335.0,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +882,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2023-06-16 16:16:18.265000,2021-01-14 02:18:46,15.0,,147.0,32.0,,53.0,59.0,1178.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,13,False,,,4.0,,milagraph/graphvite,,,,88.0,,,,,,,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,4686.0,3.0,,,,,,,,,,,,,,,,,,,,,,, +883,tsaug,arundo/tsaug,time-series-data,,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000,2023-01-11 11:16:16.000000,2020-04-17 02:46:38,10.0,,36.0,12.0,8.0,9.0,3.0,327.0,A Python package for time series augmentation.,4.0,13,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,931.0,2.0,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,2.0,931.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +884,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53,465.0,,19.0,12.0,57.0,4.0,20.0,291.0,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 19:00:02.000,0.1.6,8.0,transfer-nlp,,,['pytorch'],,39.0,,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000,,39.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +885,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2024-01-16 15:44:31.000000,2022-11-21 12:12:41,1044.0,,11.0,6.0,26.0,1.0,2.0,253.0,Maze Applied Reinforcement Learning Framework.,3.0,13,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,,['pytorch'],,92.0,3.0,3.0,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,86.0,,,,3.0,,,,,,,,,enliteai/maze,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,242.0,,,,,,,,,, +886,ONNX-T5,abelriboulot/onnxt5,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000,2022-11-02 18:43:57.000000,2021-01-28 09:24:52,74.0,,28.0,8.0,6.0,8.0,8.0,243.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",4.0,13,False,2021-01-28 09:26:15.000,0.1.8,11.0,onnxt5,,,,,67.0,1.0,1.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,67.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +887,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2023-06-07 20:12:03.000000,2020-12-16 17:41:37,312.0,,33.0,8.0,72.0,20.0,8.0,229.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,13,False,,,,neuralqa,,,,,74.0,4.0,4.0,https://pypi.org/project/neuralqa,,,74.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +888,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-11-14 18:32:58.000000,2021-08-01 07:11:57,363.0,,12.0,5.0,1238.0,4.0,10.0,126.0,Experiment tracking for machine and deep learning projects.,3.0,13,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,,,,48.0,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,38.0,,,,3.0,,,,,,,,,modelchimp/modelchimp-server,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,661.0,,,,,,,,,, +889,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2023-02-16 02:23:02.000000,2021-08-19 13:59:11,444.0,,12.0,7.0,20.0,3.0,,49.0,Distributed machine learning made simple.,2.0,13,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,36.0,28.0,28.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,36.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +890,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,,,2024-01-12 22:31:01.000000,,,,,,,,,,Supercharging Machine Learning.,,13,False,2024-01-12 22:31:01.000,3.36.0,272.0,comet_ml,comet_ml,,,,132378.0,65.0,,https://pypi.org/project/comet_ml,2024-01-12 22:31:01.000,65.0,132378.0,https://anaconda.org/anaconda/comet_ml,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +891,MedicalNet,Tencent/MedicalNet,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000,2023-07-06 21:26:54.000000,2020-08-27 13:37:26,26.0,,400.0,63.0,6.0,62.0,17.0,1781.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +892,surpriver,tradytics/surpriver,financial-data,,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05,64.0,,308.0,87.0,11.0,11.0,6.0,1670.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +893,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2023-09-19 11:11:53.000000,2022-03-01 16:13:48,42.0,,52.0,16.0,3.0,2.0,1.0,519.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,12,False,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,96.0,3.0,3.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000,,96.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +894,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2024-01-09 17:27:31.000000,2023-10-27 15:32:10,74.0,1.0,58.0,17.0,61.0,6.0,9.0,437.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",3.0,12,True,,,,vizseq,,,,,131.0,9.0,9.0,https://pypi.org/project/vizseq,,,131.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +895,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000,2023-01-27 02:15:43.000000,2021-03-03 01:30:06,79.0,,26.0,22.0,44.0,1.0,5.0,199.0,An automatic ML model optimization tool.,11.0,12,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,38.0,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,38.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +896,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285.0,,33.0,14.0,18.0,27.0,16.0,120.0,A deep learning python package for neuroimaging data. Made by:.,6.0,12,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,20.0,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000,,20.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +897,Attribution Priors,suinleelab/attributionpriors,interpretability,,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51,72.0,,10.0,6.0,,2.0,4.0,117.0,Tools for training explainable models using attribution priors.,6.0,12,False,2021-03-16 17:47:18.000,1.0.0,4.0,attributionpriors,,,"['tensorflow', 'pytorch']",,22.0,4.0,4.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000,,22.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +898,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/genixpro/hypermax,https://github.com/genixpro/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2024-01-03 19:06:45.000000,2024-01-03 19:06:45,209.0,1.0,13.0,13.0,5.0,3.0,2.0,111.0,"Better, faster hyper-parameter optimization.",8.0,12,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,45.0,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,45.0,,,,3.0,,,genixpro/hypermax,,,,,,,,,,,,,,,,,,,, +899,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,nlp,,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000,2023-03-24 11:33:01.000000,2023-03-24 11:32:56,55.0,,11.0,8.0,4.0,5.0,14.0,97.0,A spaCy wrapper for DBpedia Spotlight.,5.0,12,False,2023-03-08 10:33:19.000,0.2.6,11.0,spacy-dbpedia-spotlight,,,['spacy'],,601.0,,,https://pypi.org/project/spacy-dbpedia-spotlight,2022-10-07 09:58:11.751,,601.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +900,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP-archive/contextual-ai,https://github.com/SAP-archive/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2023-07-23 16:23:34.000000,2021-11-11 10:53:33,630.0,,11.0,13.0,26.0,4.0,13.0,85.0,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..",12.0,12,False,2021-01-25 04:56:57.000,0.0.2,2.0,contextual-ai,,,,,28.0,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000,,28.0,,,,3.0,,,SAP-archive/contextual-ai,,,,,,,,,,,,,,,,,,,, +901,nylon,Palashio/nylon,others,,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10,185.0,,8.0,7.0,4.0,14.0,18.0,85.0,"An intelligent, flexible grammar of machine learning.",3.0,12,False,2021-06-25 14:27:32.000,0.0.7,8.0,nylon-ai,,,,,57.0,,,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000,,57.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +902,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2023-03-14 16:25:22.000000,2022-02-09 22:20:11,9.0,,416.0,95.0,17.0,48.0,15.0,3257.0,AutoML algorithms for model architecture search at scale.,1.0,11,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +903,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2023-05-25 14:45:47.000000,2020-07-05 21:56:58,116.0,,112.0,47.0,13.0,7.0,20.0,948.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +904,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147.0,,143.0,39.0,7.0,15.0,14.0,911.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +905,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2024-01-09 14:26:49.000000,2024-01-09 14:26:42,74.0,1.0,26.0,8.0,16.0,4.0,6.0,190.0,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,11,False,2019-09-12 07:41:04.000,2.0,1.0,textvec,,,['sklearn'],,20.0,4.0,4.0,https://pypi.org/project/textvec,,,20.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +906,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2022-09-29 08:50:58.000000,2022-09-29 08:50:40,122.0,,12.0,12.0,15.0,,,42.0,Bias Detector is a python package for detecting bias in machine learning models.,4.0,11,False,2021-04-22 15:20:54.000,0.0.12,11.0,bias-detector,,,,,129.0,1.0,1.0,https://pypi.org/project/bias-detector,2021-04-22 15:20:54.000,,129.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +907,nptsne,biovault/nptsne,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000,2023-07-14 11:30:56.000000,2021-02-03 08:52:27,857.0,,2.0,3.0,3.0,7.0,6.0,32.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,11,False,2021-12-23 15:53:08.000,1.2.0,3.0,nptsne,,,,,7.0,6.0,6.0,https://pypi.org/project/nptsne,2021-12-23 15:53:08.000,,7.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +908,Mozart,aashrafh/Mozart,ocr,,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000,2022-08-24 18:18:43.000000,2022-08-24 18:18:43,62.0,,78.0,18.0,5.0,3.0,12.0,541.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,['sklearn'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +909,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2023-08-29 14:47:49.000000,2023-08-29 14:47:44,37.0,,48.0,14.0,13.0,9.0,9.0,478.0,Library for Textless Spoken Language Processing.,8.0,10,True,,,,,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +910,moolib,facebookresearch/moolib,distributed-ml,,https://github.com/facebookresearch/moolib,https://github.com/facebookresearch/moolib,MIT,2021-08-26 09:15:58.000,2022-12-12 15:07:44.000000,2022-12-12 15:07:38,41.0,,20.0,12.0,41.0,7.0,12.0,364.0,A library for distributed ML training with PyTorch.,6.0,10,False,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,['pytorch'],,,3.0,3.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +911,autodist,petuum/autodist,distributed-ml,,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000,2022-09-23 22:45:06.000000,2021-01-28 00:04:40,208.0,,25.0,16.0,51.0,11.0,1.0,132.0,Simple Distributed Deep Learning on TensorFlow.,11.0,10,False,,,2.0,autodist,,,['tensorflow'],,12.0,1.0,1.0,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,12.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +912,Hypertunity,gdikov/hypertunity,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29,64.0,,10.0,10.0,44.0,,2.0,136.0,A toolset for black-box hyperparameter optimisation.,2.0,9,False,2020-01-26 23:08:16.000,1.0.1,7.0,hypertunity,,,,,12.0,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000,,12.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +913,traintool,jrieke/traintool,ml-experiments,,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14,122.0,,1.0,4.0,,,,12.0,Train off-the-shelf machine learning models in one line of code.,,9,False,2020-11-02 02:25:32.000,0.0.3,3.0,traintool,,,"['pytorch', 'tensorflow', 'sklearn']",,37.0,,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,37.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +914,pyrtfolio,alvarobartt/pyrtfolio,financial-data,,https://github.com/alvarobartt/pyrtfolio,https://github.com/alvarobartt/pyrtfolio,GPL-3.0,2019-10-06 20:22:12.000,2022-05-14 21:32:20.000000,2020-11-20 09:58:41,19.0,,25.0,7.0,2.0,2.0,6.0,140.0,Python package to generate stock portfolios.,4.0,8,False,2020-03-13 20:04:08.000,0.2,3.0,pyrtfolio,,,,,13.0,,,https://pypi.org/project/pyrtfolio,2020-03-13 20:31:47.000,,13.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,, +915,tslumen,hsbc/tslumen,time-series-data,,https://github.com/hsbc/tslumen,https://github.com/hsbc/tslumen,Apache-2.0,2022-11-09 14:06:09.000,2022-11-23 19:03:57.000000,2022-11-22 16:44:39,2.0,,4.0,7.0,,1.0,,55.0,A library for Time Series EDA (exploratory data analysis).,2.0,8,False,2022-11-22 17:50:34.944,0.0.1,1.0,tslumen,conda-forge/tslumen,,,,21.0,1.0,,https://pypi.org/project/tslumen,2022-11-22 17:50:34.944,1.0,21.0,https://anaconda.org/conda-forge/tslumen,,,3.0,,,,,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index b48b1dd..1f16a8e 100644 --- a/latest-changes.md +++ b/latest-changes.md @@ -2,29 +2,29 @@ _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ -- PySpark (πŸ₯‡45 Β· ⭐ 38K Β· πŸ“ˆ) - Apache Spark Python API. Apache-2 -- triton (πŸ₯‡38 Β· ⭐ 9.5K Β· πŸ“ˆ) - Development repository for the Triton language and compiler. MIT -- CuPy (πŸ₯‡38 Β· ⭐ 7.5K Β· πŸ“ˆ) - NumPy & SciPy for GPU. MIT -- geopy (πŸ₯ˆ35 Β· ⭐ 4.2K Β· πŸ“ˆ) - Geocoding library for Python. MIT -- Tesseract (πŸ₯ˆ33 Β· ⭐ 5.3K Β· πŸ“ˆ) - Python-tesseract is an optical character recognition (OCR).. Apache-2 -- snowballstemmer (πŸ₯ˆ32 Β· ⭐ 700 Β· πŸ“ˆ) - Snowball compiler and stemming algorithms. BSD-3 -- Keras-Preprocessing (πŸ₯‰29 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT -- whoosh (πŸ₯‰25 Β· ⭐ 500 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause -- sklearn-contrib-lightning (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. BSD-3 -- Skater (πŸ₯‰14 Β· ⭐ 1.1K Β· πŸ“ˆ) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 +- scipy (πŸ₯‡48 Β· ⭐ 12K Β· πŸ“ˆ) - Ecosystem of open-source software for mathematics, science, and.. BSD-3 +- torchvision (πŸ₯‡42 Β· ⭐ 15K Β· πŸ“ˆ) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +- glfw (πŸ₯ˆ37 Β· ⭐ 12K Β· πŸ“ˆ) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib +- UMAP (πŸ₯ˆ33 Β· ⭐ 6.7K Β· πŸ“ˆ) - Uniform Manifold Approximation and Projection. BSD-3 +- TF-Agents (πŸ₯‡33 Β· ⭐ 2.7K Β· πŸ“ˆ) - TF-Agents: A reliable, scalable and easy to use.. Apache-2 +- TensorLayer (πŸ₯ˆ28 Β· ⭐ 7.3K Β· πŸ’€) - Deep Learning and Reinforcement Learning Library for.. Apache-2 +- EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.6K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 +- TNT (πŸ₯‰26 Β· ⭐ 1.6K Β· πŸ“ˆ) - A lightweight library for PyTorch training tools and utilities. BSD-3 +- ReAgent (πŸ₯‰24 Β· ⭐ 3.5K Β· πŸ“ˆ) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 +- sklearn-evaluation (πŸ₯‰17 Β· ⭐ 360 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT ## πŸ“‰ Trending Down _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ -- agate (πŸ₯ˆ31 Β· ⭐ 1.2K Β· πŸ“‰) - A Python data analysis library that is optimized for humans instead of.. MIT -- TF-Agents (πŸ₯‡30 Β· ⭐ 2.7K Β· πŸ“‰) - TF-Agents: A reliable, scalable and easy to use.. Apache-2 -- TFX (πŸ₯‰29 Β· ⭐ 2K Β· πŸ“‰) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 -- UMAP (πŸ₯‰28 Β· ⭐ 6.7K Β· πŸ“‰) - Uniform Manifold Approximation and Projection. BSD-3 -- pyopencl (πŸ₯ˆ28 Β· ⭐ 1K Β· πŸ“‰) - OpenCL integration for Python, plus shiny features. ❗Unlicensed -- TensorLayer (πŸ₯‰23 Β· ⭐ 7.3K Β· πŸ’€) - Deep Learning and Reinforcement Learning Library for.. ❗Unlicensed -- EfficientNet-PyTorch (πŸ₯‰22 Β· ⭐ 7.6K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 -- ReAgent (πŸ₯‰20 Β· ⭐ 3.5K Β· πŸ“‰) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 -- TNT (πŸ₯‰20 Β· ⭐ 1.6K Β· πŸ“‰) - A lightweight library for PyTorch training tools and.. ❗Unlicensed -- gpt-2-simple (πŸ₯‰19 Β· ⭐ 3.4K Β· πŸ’€) - Python package to easily retrain OpenAIs GPT-2 text-.. ❗Unlicensed +- Keras (πŸ₯‡45 Β· ⭐ 60K Β· πŸ“‰) - Deep Learning for humans. Apache-2 +- Tensorflow (πŸ₯ˆ35 Β· ⭐ 180K Β· πŸ“‰) - An Open Source Machine Learning Framework for Everyone. Apache-2 +- transformers (πŸ₯ˆ33 Β· ⭐ 120K Β· πŸ“‰) - Transformers: State-of-the-art Machine Learning for.. Apache-2 +- Neural Network Libraries (πŸ₯‰27 Β· ⭐ 2.7K Β· πŸ“‰) - Neural Network Libraries. Apache-2 +- CNTK (πŸ₯‰26 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning.. ❗Unlicensed +- CuPy (πŸ₯‰26 Β· ⭐ 7.5K Β· πŸ“‰) - NumPy & SciPy for GPU. MIT +- GluonNLP (πŸ₯‰26 Β· ⭐ 2.6K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 +- DeepSpeech (πŸ₯‰23 Β· ⭐ 24K Β· πŸ“‰) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +- launchpad (πŸ₯‰17 Β· ⭐ 310 Β· πŸ“‰) - Apache-2 +- scikit-rebate (πŸ₯‰16 Β· ⭐ 390 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT