diff --git a/README.md b/README.md index b46bca6..3fe855e 100644 --- a/README.md +++ b/README.md @@ -99,14 +99,14 @@ This curated list contains 920 awesome open-source projects with a total of 4.4M _General-purpose machine learning and deep learning frameworks._ -
Tensorflow (πŸ₯‡56 Β· ⭐ 180K) - An Open Source Machine Learning Framework for Everyone. Apache-2 +
Tensorflow (πŸ₯‡56 Β· ⭐ 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 74K Β· πŸ“¦ 370K Β· πŸ“‹ 40K - 5% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 74K Β· πŸ“¦ 370K Β· πŸ“‹ 40K - 5% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/tensorflow/tensorflow ``` -- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 23M / month Β· πŸ“¦ 16K Β· ⏱️ 09.03.2024): +- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 23M / month Β· πŸ“¦ 7.2K Β· ⏱️ 09.03.2024): ``` pip install tensorflow ``` @@ -114,19 +114,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 77M Β· ⭐ 2.4K Β· ⏱️ 02.05.2024): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 77M Β· ⭐ 2.4K Β· ⏱️ 09.05.2024): ``` docker pull tensorflow/tensorflow ```
PyTorch (πŸ₯‡55 Β· ⭐ 78K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.8K Β· πŸ”€ 21K Β· πŸ“₯ 40K Β· πŸ“¦ 440K Β· πŸ“‹ 43K - 32% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.8K Β· πŸ”€ 21K Β· πŸ“₯ 40K Β· πŸ“¦ 440K Β· πŸ“‹ 43K - 32% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/pytorch/pytorch ``` -- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 28M / month Β· πŸ“¦ 16K Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 29M / month Β· πŸ“¦ 16K Β· ⏱️ 24.04.2024): ``` pip install torch ``` @@ -135,25 +135,25 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c pytorch pytorch ```
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scikit-learn (πŸ₯‡52 Β· ⭐ 58K) - scikit-learn: machine learning in Python. BSD-3 +
scikit-learn (πŸ₯‡50 Β· ⭐ 58K Β· πŸ“‰) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 25K Β· πŸ“₯ 950 Β· πŸ“¦ 760K Β· πŸ“‹ 11K - 18% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 25K Β· πŸ“₯ 950 Β· πŸ“‹ 11K - 18% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/scikit-learn/scikit-learn ``` -- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 66M / month Β· πŸ“¦ 120K Β· ⏱️ 09.04.2024): +- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 67M / month Β· πŸ“¦ 21K Β· ⏱️ 06.05.2024): ``` pip install scikit-learn ``` -- [Conda](https://anaconda.org/conda-forge/scikit-learn) (πŸ“₯ 28M Β· ⏱️ 11.04.2024): +- [Conda](https://anaconda.org/conda-forge/scikit-learn) (πŸ“₯ 28M Β· ⏱️ 07.05.2024): ``` conda install -c conda-forge scikit-learn ```
Keras (πŸ₯‡48 Β· ⭐ 61K) - Deep Learning for humans. Apache-2 -- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 19K Β· πŸ“‹ 12K - 1% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 19K Β· πŸ“‹ 12K - 1% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/keras-team/keras @@ -167,57 +167,41 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge keras ```
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PySpark (πŸ₯‡45 Β· ⭐ 38K) - Apache Spark Python API. Apache-2 +
jax (πŸ₯‡46 Β· ⭐ 28K Β· πŸ“ˆ) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 28K Β· ⏱️ 02.05.2024): - - ``` - git clone https://github.com/apache/spark - ``` -- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 30M / month Β· πŸ“¦ 1.4K Β· ⏱️ 18.04.2024): - ``` - pip install pyspark - ``` -- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 3.1M Β· ⏱️ 03.03.2024): - ``` - conda install -c conda-forge pyspark - ``` -
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jax (πŸ₯‡45 Β· ⭐ 28K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 - -- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 680 Β· πŸ”€ 2.5K Β· πŸ“¦ 25K Β· πŸ“‹ 5.5K - 30% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 690 Β· πŸ”€ 2.6K Β· πŸ“¦ 25K Β· πŸ“‹ 5.5K - 30% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/google/jax ``` -- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 6.2M / month Β· πŸ“¦ 920 Β· ⏱️ 03.04.2024): +- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 6.5M / month Β· πŸ“¦ 1.5K Β· ⏱️ 07.05.2024): ``` pip install jax ``` -- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 1.1M Β· ⏱️ 07.04.2024): +- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 1.2M Β· ⏱️ 03.05.2024): ``` conda install -c conda-forge jaxlib ```
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XGBoost (πŸ₯‡45 Β· ⭐ 26K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 +
PySpark (πŸ₯‡45 Β· ⭐ 38K) - Apache Spark Python API. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 640 Β· πŸ”€ 8.7K Β· πŸ“₯ 8.5K Β· πŸ“¦ 90K Β· πŸ“‹ 5.2K - 8% open Β· ⏱️ 28.04.2024): +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 28K Β· ⏱️ 09.05.2024): ``` - git clone https://github.com/dmlc/xgboost + git clone https://github.com/apache/spark ``` -- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 19M / month Β· πŸ“¦ 1.9K Β· ⏱️ 19.12.2023): +- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 29M / month Β· πŸ“¦ 1.4K Β· ⏱️ 18.04.2024): ``` - pip install xgboost + pip install pyspark ``` -- [Conda](https://anaconda.org/conda-forge/xgboost) (πŸ“₯ 4.7M Β· ⏱️ 18.04.2024): +- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 3.1M Β· ⏱️ 03.03.2024): ``` - conda install -c conda-forge xgboost + conda install -c conda-forge pyspark ```
PaddlePaddle (πŸ₯‡45 Β· ⭐ 22K) - 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“¦ 5K Β· πŸ“‹ 19K - 10% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 5.4K Β· πŸ“₯ 15K Β· πŸ“¦ 5.1K Β· πŸ“‹ 19K - 9% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/PaddlePaddle/Paddle @@ -227,46 +211,46 @@ _General-purpose machine learning and deep learning frameworks._ pip install paddlepaddle ```
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StatsModels (πŸ₯‡45 Β· ⭐ 9.6K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 +
pytorch-lightning (πŸ₯ˆ44 Β· ⭐ 27K) - Pretrain, finetune and deploy AI models on multiple.. Apache-2 -- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 2.8K Β· πŸ“₯ 31 Β· πŸ“¦ 120K Β· πŸ“‹ 5.5K - 50% open Β· ⏱️ 19.04.2024): +- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 940 Β· πŸ”€ 3.3K Β· πŸ“₯ 7.5K Β· πŸ“¦ 32K Β· πŸ“‹ 6.9K - 10% open Β· ⏱️ 09.05.2024): ``` - git clone https://github.com/statsmodels/statsmodels + git clone https://github.com/Lightning-AI/lightning ``` -- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 18M / month Β· πŸ“¦ 5.7K Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 5M / month Β· πŸ“¦ 1.3K Β· ⏱️ 01.05.2024): ``` - pip install statsmodels + pip install pytorch-lightning ``` -- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 13M Β· ⏱️ 14.12.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 1.1M Β· ⏱️ 12.04.2024): ``` - conda install -c conda-forge statsmodels + conda install -c conda-forge pytorch-lightning ```
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pytorch-lightning (πŸ₯ˆ44 Β· ⭐ 27K) - Pretrain, finetune and deploy AI models on multiple.. Apache-2 +
StatsModels (πŸ₯ˆ44 Β· ⭐ 9.6K Β· πŸ“‰) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 -- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 940 Β· πŸ”€ 3.3K Β· πŸ“₯ 7.5K Β· πŸ“¦ 32K Β· πŸ“‹ 6.9K - 10% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 2.8K Β· πŸ“₯ 31 Β· πŸ“¦ 120K Β· πŸ“‹ 5.5K - 50% open Β· ⏱️ 08.05.2024): ``` - git clone https://github.com/Lightning-AI/lightning + git clone https://github.com/statsmodels/statsmodels ``` -- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 5M / month Β· πŸ“¦ 1.3K Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 17M / month Β· πŸ“¦ 3.9K Β· ⏱️ 17.04.2024): ``` - pip install pytorch-lightning + pip install statsmodels ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 1.1M Β· ⏱️ 12.04.2024): +- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 13M Β· ⏱️ 14.12.2023): ``` - conda install -c conda-forge pytorch-lightning + conda install -c conda-forge statsmodels ```
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’» 300 Β· πŸ”€ 3.8K Β· πŸ“₯ 220K Β· πŸ“¦ 32K Β· πŸ“‹ 3.3K - 11% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3.8K Β· πŸ“₯ 220K Β· πŸ“¦ 33K Β· πŸ“‹ 3.3K - 11% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/microsoft/LightGBM ``` -- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 7.7M / month Β· πŸ“¦ 920 Β· ⏱️ 26.01.2024): +- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 7.7M / month Β· πŸ“¦ 1K Β· ⏱️ 26.01.2024): ``` pip install lightgbm ``` @@ -275,9 +259,25 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge lightgbm ```
+
XGBoost (πŸ₯ˆ42 Β· ⭐ 26K Β· πŸ“‰) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT.. Apache-2 + +- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 640 Β· πŸ”€ 8.7K Β· πŸ“₯ 8.5K Β· πŸ“‹ 5.2K - 8% open Β· ⏱️ 08.05.2024): + + ``` + git clone https://github.com/dmlc/xgboost + ``` +- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 19M / month Β· πŸ“¦ 1.8K Β· ⏱️ 19.12.2023): + ``` + pip install xgboost + ``` +- [Conda](https://anaconda.org/conda-forge/xgboost) (πŸ“₯ 4.7M Β· ⏱️ 18.04.2024): + ``` + conda install -c conda-forge xgboost + ``` +
Catboost (πŸ₯ˆ41 Β· ⭐ 7.8K) - 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“₯ 250K Β· πŸ“¦ 13 Β· πŸ“‹ 2.3K - 22% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 1.1K Β· πŸ“₯ 250K Β· πŸ“¦ 13 Β· πŸ“‹ 2.3K - 22% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/catboost/catboost @@ -298,7 +298,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/fastai/fastai ``` -- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 390K / month Β· πŸ“¦ 350 Β· ⏱️ 27.04.2024): +- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 370K / month Β· πŸ“¦ 290 Β· ⏱️ 27.04.2024): ``` pip install fastai ``` @@ -310,11 +310,11 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 33K / month Β· πŸ“¦ 17 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 36K / month Β· πŸ“¦ 27 Β· ⏱️ 10.04.2024): ``` pip install jina ``` -- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 62K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 63K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge jina-core ``` @@ -323,90 +323,74 @@ _General-purpose machine learning and deep learning frameworks._ docker pull jinaai/jina ```
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Theano (πŸ₯ˆ39 Β· ⭐ 9.9K) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 - -- [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/Theano/Theano - ``` -- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 430K / month Β· πŸ“¦ 2.8K Β· ⏱️ 27.07.2020): - ``` - 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₯ˆ39 Β· ⭐ 5.5K) - 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”€ 590 Β· πŸ“₯ 50 Β· πŸ“¦ 7.1K Β· πŸ“‹ 920 - 23% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 590 Β· πŸ“₯ 50 Β· πŸ“¦ 7.2K Β· πŸ“‹ 920 - 23% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/google/flax ``` -- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 3.7M / month Β· πŸ“¦ 240 Β· ⏱️ 30.04.2024): +- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 4M / month Β· πŸ“¦ 390 Β· ⏱️ 30.04.2024): ``` pip install flax ``` -- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 47K Β· ⏱️ 30.04.2024): +- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 48K Β· ⏱️ 30.04.2024): ``` conda install -c conda-forge flax ```
PyFlink (πŸ₯ˆ38 Β· ⭐ 23K) - Apache Flink Python API. Apache-2 -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.9K Β· πŸ”€ 13K Β· πŸ“¦ 21 Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.9K Β· πŸ”€ 13K Β· πŸ“¦ 21 Β· ⏱️ 09.05.2024): ``` git clone https://github.com/apache/flink ``` -- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 64K / month Β· πŸ“¦ 24 Β· ⏱️ 15.03.2024): +- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 65K / month Β· πŸ“¦ 24 Β· ⏱️ 15.03.2024): ``` pip install apache-flink ```
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Thinc (πŸ₯ˆ36 Β· ⭐ 2.8K Β· πŸ“ˆ) - A refreshing functional take on deep learning, compatible with your.. MIT +
Theano (πŸ₯ˆ38 Β· ⭐ 9.9K Β· πŸ“‰) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 -- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 280 Β· πŸ“¦ 46K Β· πŸ“‹ 140 - 12% open Β· ⏱️ 23.04.2024): +- [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/explosion/thinc + git clone https://github.com/Theano/Theano ``` -- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 8.6M / month Β· πŸ“¦ 650 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 530K / month Β· πŸ“¦ 170 Β· ⏱️ 27.07.2020): ``` - pip install thinc + pip install theano ``` -- [Conda](https://anaconda.org/conda-forge/thinc) (πŸ“₯ 2.8M Β· ⏱️ 29.12.2023): +- [Conda](https://anaconda.org/conda-forge/theano) (πŸ“₯ 2.4M Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge thinc + conda install -c conda-forge theano ```
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Vowpal Wabbit (πŸ₯ˆ35 Β· ⭐ 8.4K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 +
Thinc (πŸ₯ˆ36 Β· ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT -- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 2K Β· πŸ“‹ 1.3K - 11% open Β· ⏱️ 11.04.2024): +- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 280 Β· πŸ“¦ 47K Β· πŸ“‹ 140 - 13% open Β· ⏱️ 23.04.2024): ``` - git clone https://github.com/VowpalWabbit/vowpal_wabbit + git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 120K / month Β· πŸ“¦ 35 Β· ⏱️ 19.07.2023): +- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 9.1M / month Β· πŸ“¦ 120 Β· ⏱️ 19.04.2024): ``` - pip install vowpalwabbit + pip install thinc ``` -- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (πŸ“₯ 150K Β· ⏱️ 26.04.2024): +- [Conda](https://anaconda.org/conda-forge/thinc) (πŸ“₯ 2.8M Β· ⏱️ 29.12.2023): ``` - conda install -c conda-forge vowpalwabbit + conda install -c conda-forge thinc ```
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ivy (πŸ₯ˆ34 Β· ⭐ 14K) - The Unified AI Framework. Apache-2 +
ivy (πŸ₯ˆ35 Β· ⭐ 14K) - The Unified AI Framework. Apache-2 - [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 5.9K Β· πŸ“‹ 17K - 6% open Β· ⏱️ 02.05.2024): ``` git clone https://github.com/unifyai/ivy ``` -- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 1K / month Β· πŸ“¦ 9 Β· ⏱️ 15.03.2024): +- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 920 / month Β· πŸ“¦ 12 Β· ⏱️ 15.03.2024): ``` pip install ivy ``` @@ -418,19 +402,35 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 4.5K / month Β· πŸ“¦ 9 Β· ⏱️ 08.04.2024): +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 4.3K / month Β· πŸ“¦ 9 Β· ⏱️ 08.04.2024): ``` pip install ludwig ```
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einops (πŸ₯ˆ34 Β· ⭐ 7.9K Β· πŸ“ˆ) - Flexible and powerful tensor operations for readable and reliable code.. MIT +
Vowpal Wabbit (πŸ₯ˆ34 Β· ⭐ 8.4K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 -- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 330 Β· πŸ“¦ 33K Β· πŸ“‹ 170 - 20% open Β· ⏱️ 28.04.2024): +- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 2K Β· πŸ“‹ 1.3K - 11% open Β· ⏱️ 11.04.2024): + + ``` + git clone https://github.com/VowpalWabbit/vowpal_wabbit + ``` +- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 100K / month Β· πŸ“¦ 38 Β· ⏱️ 19.07.2023): + ``` + pip install vowpalwabbit + ``` +- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (πŸ“₯ 150K Β· ⏱️ 26.04.2024): + ``` + conda install -c conda-forge vowpalwabbit + ``` +
+
einops (πŸ₯ˆ34 Β· ⭐ 8K) - Flexible and powerful tensor operations for readable and reliable code (for.. MIT + +- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 340 Β· πŸ“¦ 34K Β· πŸ“‹ 170 - 19% open Β· ⏱️ 28.04.2024): ``` git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 6.8M / month Β· πŸ“¦ 1K Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 7.2M / month Β· πŸ“¦ 1.7K Β· ⏱️ 28.04.2024): ``` pip install einops ``` @@ -441,12 +441,12 @@ _General-purpose machine learning and deep learning frameworks._
mlpack (πŸ₯ˆ34 Β· ⭐ 4.8K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 -- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.6K - 2% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.6K - 2% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/mlpack/mlpack ``` -- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 5.5K / month Β· πŸ“¦ 1 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 5.3K / month Β· πŸ“¦ 1 Β· ⏱️ 10.04.2024): ``` pip install mlpack ``` @@ -457,12 +457,12 @@ _General-purpose machine learning and deep learning frameworks._
Ignite (πŸ₯ˆ34 Β· ⭐ 4.5K) - High-level library to help with training and evaluating neural.. BSD-3 -- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 610 Β· πŸ“¦ 2.8K Β· πŸ“‹ 1.4K - 11% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 610 Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.4K - 10% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 210K / month Β· πŸ“¦ 79 Β· ⏱️ 02.05.2024): +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 250K / month Β· πŸ“¦ 81 Β· ⏱️ 09.05.2024): ``` pip install pytorch-ignite ``` @@ -478,7 +478,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/deepmind/sonnet ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 35K / month Β· πŸ“¦ 53 Β· ⏱️ 02.01.2024): +- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 36K / month Β· πŸ“¦ 20 Β· ⏱️ 02.01.2024): ``` pip install dm-sonnet ``` @@ -494,11 +494,11 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/tensorpack/tensorpack ``` -- [PyPi](https://pypi.org/project/tensorpack) (πŸ“₯ 13K / month Β· πŸ“¦ 48 Β· ⏱️ 22.01.2021): +- [PyPi](https://pypi.org/project/tensorpack) (πŸ“₯ 13K / month Β· πŸ“¦ 18 Β· ⏱️ 22.01.2021): ``` pip install tensorpack ``` -- [Conda](https://anaconda.org/conda-forge/tensorpack) (πŸ“₯ 10K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tensorpack) (πŸ“₯ 11K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge tensorpack ``` @@ -510,19 +510,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/clab/dynet ``` -- [PyPi](https://pypi.org/project/dyNET) (πŸ“₯ 340K / month Β· πŸ“¦ 29 Β· ⏱️ 21.10.2020): +- [PyPi](https://pypi.org/project/dyNET) (πŸ“₯ 340K / month Β· πŸ“¦ 18 Β· ⏱️ 21.10.2020): ``` pip install dyNET ```
Determined (πŸ₯‰31 Β· ⭐ 2.9K) - 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“₯ 7.9K Β· πŸ“‹ 480 - 30% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 340 Β· πŸ“₯ 7.9K Β· πŸ“‹ 460 - 26% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/determined-ai/determined ``` -- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 63K / month Β· πŸ“¦ 4 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 62K / month Β· πŸ“¦ 4 Β· ⏱️ 08.05.2024): ``` pip install determined ``` @@ -534,7 +534,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/deepmind/dm-haiku ``` -- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 200K / month Β· πŸ“¦ 90 Β· ⏱️ 28.02.2024): +- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 210K / month Β· πŸ“¦ 90 Β· ⏱️ 28.02.2024): ``` pip install dm-haiku ``` @@ -550,7 +550,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/geomstats/geomstats ``` -- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 3.4K / month Β· πŸ“¦ 3 Β· ⏱️ 30.08.2023): +- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 3K / month Β· πŸ“¦ 3 Β· ⏱️ 30.08.2023): ``` pip install geomstats ``` @@ -561,24 +561,24 @@ _General-purpose machine learning and deep learning frameworks._
tensorflow-upstream (πŸ₯‰31 Β· ⭐ 680) - TensorFlow ROCm port. Apache-2 -- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 89 Β· πŸ“₯ 21 Β· πŸ“‹ 370 - 22% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 89 Β· πŸ“₯ 21 Β· πŸ“‹ 370 - 23% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream ``` -- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 4.9K / month Β· πŸ“¦ 6 Β· ⏱️ 10.01.2024): +- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 5.3K / month Β· πŸ“¦ 6 Β· ⏱️ 10.01.2024): ``` pip install tensorflow-rocm ```
skorch (πŸ₯‰30 Β· ⭐ 5.6K) - A scikit-learn compatible neural network library that wraps.. BSD-3 -- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 370 Β· πŸ“¦ 1.2K Β· πŸ“‹ 510 - 10% open Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 380 Β· πŸ“¦ 1.2K Β· πŸ“‹ 510 - 11% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/skorch-dev/skorch ``` -- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 160K / month Β· πŸ“¦ 54 Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 160K / month Β· πŸ“¦ 76 Β· ⏱️ 04.09.2023): ``` pip install skorch ``` @@ -594,19 +594,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/amaiya/ktrain ``` -- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 9.8K / month Β· πŸ“¦ 3 Β· ⏱️ 05.04.2024): +- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 10K / month Β· πŸ“¦ 3 Β· ⏱️ 05.04.2024): ``` pip install ktrain ```
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Neural Network Libraries (πŸ₯‰28 Β· ⭐ 2.7K) - Neural Network Libraries. Apache-2 +
Neural Network Libraries (πŸ₯‰29 Β· ⭐ 2.7K) - Neural Network Libraries. Apache-2 -- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 340 Β· πŸ“₯ 920 Β· πŸ“‹ 92 - 34% open Β· ⏱️ 24.04.2024): +- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 340 Β· πŸ“₯ 920 Β· πŸ“‹ 92 - 34% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/sony/nnabla ``` -- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 3.2K / month Β· πŸ“¦ 55 Β· ⏱️ 06.12.2023): +- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 3.3K / month Β· πŸ“¦ 55 Β· ⏱️ 06.12.2023): ``` pip install nnabla ``` @@ -618,23 +618,23 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/georgia-tech-db/eva ``` -- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 8.8K / month Β· ⏱️ 19.11.2023): +- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 7.2K / month Β· ⏱️ 19.11.2023): ``` pip install evadb ```
pyRiemann (πŸ₯‰27 Β· ⭐ 590) - Machine learning for multivariate data through the Riemannian.. BSD-3 -- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 160 Β· πŸ“¦ 330 Β· πŸ“‹ 100 - 4% open Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 160 Β· πŸ“¦ 330 Β· πŸ“‹ 100 - 3% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/pyRiemann/pyRiemann ``` -- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 44K / month Β· πŸ“¦ 21 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 45K / month Β· πŸ“¦ 26 Β· ⏱️ 10.04.2024): ``` pip install pyriemann ``` -- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 5.5K Β· ⏱️ 10.04.2024): +- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 5.6K Β· ⏱️ 10.04.2024): ``` conda install -c conda-forge pyriemann ``` @@ -657,24 +657,24 @@ _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“₯ 380 Β· πŸ“¦ 99 Β· πŸ“‹ 150 - 38% open Β· ⏱️ 01.03.2024): +- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 240 Β· πŸ“₯ 380 Β· πŸ“¦ 100 Β· πŸ“‹ 150 - 38% open Β· ⏱️ 01.03.2024): ``` git clone https://github.com/google/neural-tangents ``` -- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 2.6K / month Β· πŸ“¦ 1 Β· ⏱️ 11.12.2023): +- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 2.9K / month Β· πŸ“¦ 1 Β· ⏱️ 11.12.2023): ``` pip install neural-tangents ```
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Towhee (πŸ₯‰24 Β· ⭐ 3K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 +
Towhee (πŸ₯‰25 Β· ⭐ 3K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 - [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 250 Β· πŸ“₯ 2.6K Β· πŸ“‹ 660 - 0% open Β· ⏱️ 20.01.2024): ``` git clone https://github.com/towhee-io/towhee ``` -- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 5K / month Β· ⏱️ 04.12.2023): +- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 8.9K / month Β· ⏱️ 04.12.2023): ``` pip install towhee ``` @@ -694,31 +694,31 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 580 / month Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 700 / month Β· ⏱️ 09.11.2023): ``` pip install fklearn ```
ThunderSVM (πŸ₯‰22 Β· ⭐ 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 -- [GitHub](https://github.com/Xtra-Computing/thundersvm) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 210 Β· πŸ“₯ 2.8K Β· πŸ“‹ 220 - 33% open Β· ⏱️ 01.04.2024): +- [GitHub](https://github.com/Xtra-Computing/thundersvm) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 210 Β· πŸ“₯ 2.8K Β· πŸ“‹ 230 - 34% open Β· ⏱️ 01.04.2024): ``` git clone https://github.com/Xtra-Computing/thundersvm ``` -- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 750 / month Β· ⏱️ 13.03.2020): +- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 780 / month Β· ⏱️ 13.03.2020): ``` pip install thundersvm ```
NeoML (πŸ₯‰22 Β· ⭐ 760) - Machine learning framework for both deep learning and traditional.. Apache-2 -- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 120 Β· πŸ“‹ 87 - 42% open Β· ⏱️ 26.04.2024): +- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 120 Β· πŸ“‹ 87 - 42% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/neoml-lib/neoml ``` -- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 370 / month Β· ⏱️ 26.12.2023): +- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 400 / month Β· ⏱️ 26.12.2023): ``` pip install neoml ``` @@ -730,19 +730,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/pytorchbearer/torchbearer ``` -- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 630 / month Β· πŸ“¦ 4 Β· ⏱️ 01.12.2023): +- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 720 / month Β· πŸ“¦ 4 Β· ⏱️ 01.12.2023): ``` pip install torchbearer ```
Objax (πŸ₯‰21 Β· ⭐ 760) - Objax is a machine learning framework that provides an Object.. Apache-2 -- [GitHub](https://github.com/google/objax) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 78 Β· πŸ“¦ 51 Β· πŸ“‹ 110 - 45% open Β· ⏱️ 27.01.2024): +- [GitHub](https://github.com/google/objax) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 78 Β· πŸ“¦ 52 Β· πŸ“‹ 110 - 45% open Β· ⏱️ 27.01.2024): ``` git clone https://github.com/google/objax ``` -- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 550 / month Β· πŸ“¦ 4 Β· ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 600 / month Β· πŸ“¦ 4 Β· ⏱️ 06.11.2023): ``` pip install objax ``` @@ -754,7 +754,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/serengil/chefboost ``` -- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 2.8K / month Β· ⏱️ 16.02.2022): +- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 3.1K / month Β· ⏱️ 16.02.2022): ``` pip install chefboost ``` @@ -766,7 +766,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 290 / month Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 310 / month Β· ⏱️ 19.09.2022): ``` pip install thundergbm ``` @@ -778,7 +778,7 @@ _General-purpose machine learning and deep learning frameworks._ - MindsDB (πŸ₯ˆ34 Β· ⭐ 21K) - The platform for customizing AI from enterprise data. ❗️libpng-2.0 - Chainer (πŸ₯‰33 Β· ⭐ 5.9K Β· πŸ’€) - A flexible framework of neural networks for deep learning. MIT - Turi Create (πŸ₯‰32 Β· ⭐ 11K Β· πŸ’€) - Turi Create simplifies the development of custom machine.. BSD-3 -- TFlearn (πŸ₯‰31 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for TensorFlow. MIT +- TFlearn (πŸ₯‰32 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for TensorFlow. MIT - CNTK (πŸ₯‰30 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT - Lasagne (πŸ₯‰28 Β· ⭐ 3.8K Β· πŸ’€) - Lightweight library to build and train neural networks in Theano. MIT - NuPIC (πŸ₯‰27 Β· ⭐ 6.3K Β· πŸ’€) - Numenta Platform for Intelligent Computing is an implementation.. ❗️AGPL-3.0 @@ -799,28 +799,28 @@ _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’» 1.7K Β· πŸ”€ 7.4K Β· πŸ“¦ 1.2M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 7.4K Β· πŸ“¦ 1.2M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/matplotlib/matplotlib ``` -- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 64M / month Β· πŸ“¦ 67K Β· ⏱️ 09.04.2024): +- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 63M / month Β· πŸ“¦ 44K Β· ⏱️ 09.04.2024): ``` pip install matplotlib ``` -- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 23M Β· ⏱️ 09.04.2024): +- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 23M Β· ⏱️ 06.05.2024): ``` conda install -c conda-forge matplotlib ```
Bokeh (πŸ₯‡45 Β· ⭐ 19K) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 690 Β· πŸ”€ 4.2K Β· πŸ“¦ 87K Β· πŸ“‹ 7.6K - 9% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 690 Β· πŸ”€ 4.2K Β· πŸ“¦ 87K Β· πŸ“‹ 7.7K - 10% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 5.3M / month Β· πŸ“¦ 3.9K Β· ⏱️ 11.04.2024): +- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 5.5M / month Β· πŸ“¦ 1.6K Β· ⏱️ 08.05.2024): ``` pip install bokeh ``` @@ -836,15 +836,15 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/plotly/plotly.py ``` -- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 16M / month Β· πŸ“¦ 36K Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 16M / month Β· πŸ“¦ 5.4K Β· ⏱️ 01.05.2024): ``` pip install plotly ``` -- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 5.7M Β· ⏱️ 17.04.2024): +- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 5.7M Β· ⏱️ 04.05.2024): ``` conda install -c conda-forge plotly ``` -- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 6.9K / month Β· πŸ“¦ 9 Β· ⏱️ 12.01.2021): +- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 9.9K / month Β· πŸ“¦ 9 Β· ⏱️ 12.01.2021): ``` npm install plotlywidget ``` @@ -856,7 +856,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/mwaskom/seaborn ``` -- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 18M / month Β· πŸ“¦ 9.4K Β· ⏱️ 25.01.2024): +- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 17M / month Β· πŸ“¦ 9.4K Β· ⏱️ 25.01.2024): ``` pip install seaborn ``` @@ -867,28 +867,28 @@ _General-purpose and task-specific data visualization libraries._
dash (πŸ₯‡42 Β· ⭐ 21K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT -- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2K Β· πŸ“₯ 70 Β· πŸ“¦ 62K Β· πŸ“‹ 1.7K - 47% open Β· ⏱️ 22.04.2024): +- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2K Β· πŸ“₯ 72 Β· πŸ“¦ 63K Β· πŸ“‹ 1.7K - 47% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/plotly/dash ``` -- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 2.8M / month Β· πŸ“¦ 1.5K Β· ⏱️ 06.03.2024): +- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 2.8M / month Β· πŸ“¦ 1.1K Β· ⏱️ 03.05.2024): ``` pip install dash ``` -- [Conda](https://anaconda.org/conda-forge/dash) (πŸ“₯ 1.3M Β· ⏱️ 10.03.2024): +- [Conda](https://anaconda.org/conda-forge/dash) (πŸ“₯ 1.3M Β· ⏱️ 04.05.2024): ``` conda install -c conda-forge dash ```
Altair (πŸ₯‡41 Β· ⭐ 8.9K) - Declarative statistical visualization library for Python. BSD-3 -- [GitHub](https://github.com/vega/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 760 Β· πŸ“₯ 120 Β· πŸ“¦ 130K Β· πŸ“‹ 1.9K - 8% open Β· ⏱️ 26.04.2024): +- [GitHub](https://github.com/vega/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 760 Β· πŸ“₯ 120 Β· πŸ“¦ 130K Β· πŸ“‹ 1.9K - 8% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/altair-viz/altair ``` -- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 24M / month Β· πŸ“¦ 690 Β· ⏱️ 30.03.2024): +- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 24M / month Β· πŸ“¦ 750 Β· ⏱️ 30.03.2024): ``` pip install altair ``` @@ -897,14 +897,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge altair ```
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pandas-profiling (πŸ₯ˆ37 Β· ⭐ 12K) - 1 Line of code data quality profiling & exploratory.. MIT +
pandas-profiling (πŸ₯ˆ38 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“₯ 84 Β· πŸ“¦ 3K Β· πŸ“‹ 780 - 28% open Β· ⏱️ 09.04.2024): +- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 88 Β· πŸ“¦ 3.1K Β· πŸ“‹ 780 - 27% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/ydataai/pandas-profiling ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 690K / month Β· πŸ“¦ 200 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 730K / month Β· πŸ“¦ 180 Β· ⏱️ 03.02.2023): ``` pip install pandas-profiling ``` @@ -913,50 +913,50 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge pandas-profiling ```
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PyQtGraph (πŸ₯ˆ37 Β· ⭐ 3.7K) - Fast data visualization and GUI tools for scientific / engineering.. MIT +
HoloViews (πŸ₯ˆ38 Β· ⭐ 2.6K) - With Holoviews, your data visualizes itself. BSD-3 -- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.1K Β· πŸ“¦ 9.4K Β· πŸ“‹ 1.3K - 30% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 390 Β· πŸ“¦ 10K Β· πŸ“‹ 3.3K - 33% open Β· ⏱️ 09.05.2024): ``` - git clone https://github.com/pyqtgraph/pyqtgraph + git clone https://github.com/holoviz/holoviews ``` -- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 230K / month Β· πŸ“¦ 910 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 420K / month Β· πŸ“¦ 360 Β· ⏱️ 23.04.2024): ``` - pip install pyqtgraph + pip install holoviews ``` -- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 530K Β· ⏱️ 22.04.2024): +- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 1.6M Β· ⏱️ 12.02.2024): ``` - conda install -c conda-forge pyqtgraph + conda install -c conda-forge holoviews + ``` +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 300 / month Β· πŸ“¦ 5 Β· ⏱️ 22.03.2024): + ``` + npm install @pyviz/jupyterlab_pyviz ```
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HoloViews (πŸ₯ˆ37 Β· ⭐ 2.6K) - With Holoviews, your data visualizes itself. BSD-3 +
PyQtGraph (πŸ₯ˆ37 Β· ⭐ 3.7K) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 390 Β· πŸ“¦ 10K Β· πŸ“‹ 3.3K - 33% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.1K Β· πŸ“¦ 9.4K Β· πŸ“‹ 1.3K - 30% open Β· ⏱️ 29.04.2024): ``` - git clone https://github.com/holoviz/holoviews - ``` -- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 400K / month Β· πŸ“¦ 290 Β· ⏱️ 23.04.2024): - ``` - pip install holoviews + git clone https://github.com/pyqtgraph/pyqtgraph ``` -- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 1.6M Β· ⏱️ 12.02.2024): +- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 230K / month Β· πŸ“¦ 910 Β· ⏱️ 29.04.2024): ``` - conda install -c conda-forge holoviews + pip install pyqtgraph ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 300 / month Β· πŸ“¦ 3 Β· ⏱️ 22.03.2024): +- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 530K Β· ⏱️ 02.05.2024): ``` - npm install @pyviz/jupyterlab_pyviz + conda install -c conda-forge pyqtgraph ```
Graphviz (πŸ₯ˆ37 Β· ⭐ 1.6K) - Simple Python interface for Graphviz. MIT -- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 210 Β· πŸ“¦ 65K Β· πŸ“‹ 180 - 6% open Β· ⏱️ 21.03.2024): +- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 210 Β· πŸ“¦ 65K Β· πŸ“‹ 180 - 7% open Β· ⏱️ 21.03.2024): ``` git clone https://github.com/xflr6/graphviz ``` -- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 10M / month Β· πŸ“¦ 3.6K Β· ⏱️ 21.03.2024): +- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 11M / month Β· πŸ“¦ 2.3K Β· ⏱️ 21.03.2024): ``` pip install graphviz ``` @@ -967,7 +967,7 @@ _General-purpose and task-specific data visualization libraries._
pyecharts (πŸ₯ˆ36 Β· ⭐ 14K) - Python Echarts Plotting Library. MIT -- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 2.8K Β· πŸ“₯ 40 Β· πŸ“¦ 4.1K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 03.03.2024): +- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 2.8K Β· πŸ“₯ 44 Β· πŸ“¦ 4.1K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 03.03.2024): ``` git clone https://github.com/pyecharts/pyecharts @@ -977,74 +977,58 @@ _General-purpose and task-specific data visualization libraries._ pip install pyecharts ```
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FiftyOne (πŸ₯ˆ36 Β· ⭐ 6.8K) - Visualize, create, and debug image and video datasets.. Apache-2 + +- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 490 Β· πŸ“¦ 560 Β· πŸ“‹ 1.5K - 32% open Β· ⏱️ 08.05.2024): + + ``` + git clone https://github.com/voxel51/fiftyone + ``` +- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 63K / month Β· πŸ“¦ 12 Β· ⏱️ 15.04.2024): + ``` + pip install fiftyone + ``` +
plotnine (πŸ₯ˆ36 Β· ⭐ 3.8K) - A Grammar of Graphics for Python. MIT -- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 200 Β· πŸ“¦ 7.5K Β· πŸ“‹ 630 - 10% open Β· ⏱️ 26.04.2024): +- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 200 Β· πŸ“¦ 7.5K Β· πŸ“‹ 630 - 10% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/has2k1/plotnine ``` -- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 3M / month Β· πŸ“¦ 280 Β· ⏱️ 26.04.2024): +- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 3M / month Β· πŸ“¦ 260 Β· ⏱️ 26.04.2024): ``` pip install plotnine ``` -- [Conda](https://anaconda.org/conda-forge/plotnine) (πŸ“₯ 350K Β· ⏱️ 26.04.2024): +- [Conda](https://anaconda.org/conda-forge/plotnine) (πŸ“₯ 360K Β· ⏱️ 26.04.2024): ``` conda install -c conda-forge plotnine ```
PyVista (πŸ₯ˆ36 Β· ⭐ 2.4K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT -- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 430 Β· πŸ“₯ 800 Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.6K - 33% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 430 Β· πŸ“₯ 800 Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.6K - 33% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/pyvista/pyvista ``` -- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 230K / month Β· πŸ“¦ 290 Β· ⏱️ 26.04.2024): +- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 260K / month Β· πŸ“¦ 470 Β· ⏱️ 04.05.2024): ``` pip install pyvista ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 470K Β· ⏱️ 27.04.2024): +- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 470K Β· ⏱️ 04.05.2024): ``` conda install -c conda-forge pyvista ```
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wordcloud (πŸ₯ˆ35 Β· ⭐ 10K) - A little word cloud generator in Python. MIT - -- [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 2.3K Β· πŸ“¦ 21 Β· πŸ“‹ 540 - 22% open Β· ⏱️ 09.12.2023): - - ``` - git clone https://github.com/amueller/word_cloud - ``` -- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.8M / month Β· πŸ“¦ 860 Β· ⏱️ 09.12.2023): - ``` - pip install wordcloud - ``` -- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 470K Β· ⏱️ 19.03.2024): - ``` - conda install -c conda-forge wordcloud - ``` -
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FiftyOne (πŸ₯ˆ35 Β· ⭐ 6.7K) - Visualize, create, and debug image and video datasets.. Apache-2 - -- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 490 Β· πŸ“¦ 560 Β· πŸ“‹ 1.5K - 32% open Β· ⏱️ 02.05.2024): - - ``` - git clone https://github.com/voxel51/fiftyone - ``` -- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 60K / month Β· πŸ“¦ 12 Β· ⏱️ 15.04.2024): - ``` - pip install fiftyone - ``` -
VisPy (πŸ₯ˆ35 Β· ⭐ 3.2K) - High-performance interactive 2D/3D data visualization library. BSD-3 -- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 610 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 620 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 17.04.2024): ``` git clone https://github.com/vispy/vispy ``` -- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 92K / month Β· πŸ“¦ 150 Β· ⏱️ 14.03.2024): +- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 98K / month Β· πŸ“¦ 140 Β· ⏱️ 14.03.2024): ``` pip install vispy ``` @@ -1052,19 +1036,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge vispy ``` -- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 12 / month Β· πŸ“¦ 2 Β· ⏱️ 15.03.2020): +- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 12 / month Β· πŸ“¦ 3 Β· ⏱️ 15.03.2020): ``` npm install vispy ```
cartopy (πŸ₯ˆ35 Β· ⭐ 1.4K) - Cartopy - a cartographic python library with matplotlib support. BSD-3 -- [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 360 Β· πŸ“¦ 4.8K Β· πŸ“‹ 1.3K - 24% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 360 Β· πŸ“¦ 4.9K Β· πŸ“‹ 1.3K - 24% open Β· ⏱️ 04.05.2024): ``` git clone https://github.com/SciTools/cartopy ``` -- [PyPi](https://pypi.org/project/cartopy) (πŸ“₯ 230K / month Β· πŸ“¦ 500 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/cartopy) (πŸ“₯ 230K / month Β· πŸ“¦ 580 Β· ⏱️ 10.04.2024): ``` pip install cartopy ``` @@ -1073,14 +1057,30 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge cartopy ```
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wordcloud (πŸ₯ˆ34 Β· ⭐ 10K) - A little word cloud generator in Python. MIT + +- [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 2.3K Β· πŸ“¦ 21 Β· πŸ“‹ 540 - 22% open Β· ⏱️ 09.12.2023): + + ``` + git clone https://github.com/amueller/word_cloud + ``` +- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.8M / month Β· πŸ“¦ 490 Β· ⏱️ 09.12.2023): + ``` + pip install wordcloud + ``` +- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 470K Β· ⏱️ 19.03.2024): + ``` + conda install -c conda-forge wordcloud + ``` +
UMAP (πŸ₯ˆ33 Β· ⭐ 7K) - Uniform Manifold Approximation and Projection. BSD-3 -- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 760 Β· πŸ“¦ 1 Β· πŸ“‹ 780 - 57% open Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 760 Β· πŸ“¦ 1 Β· πŸ“‹ 790 - 57% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/lmcinnes/umap ``` -- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 1.2M / month Β· πŸ“¦ 620 Β· ⏱️ 03.04.2024): +- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 1.2M / month Β· πŸ“¦ 830 Β· ⏱️ 03.04.2024): ``` pip install umap-learn ``` @@ -1096,59 +1096,79 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/holoviz/datashader ``` -- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 97K / month Β· πŸ“¦ 140 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 100K / month Β· πŸ“¦ 180 Β· ⏱️ 19.04.2024): ``` pip install datashader ``` -- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 840K Β· ⏱️ 23.04.2024): +- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 850K Β· ⏱️ 23.04.2024): ``` conda install -c conda-forge datashader ```
Perspective (πŸ₯ˆ31 Β· ⭐ 7.6K) - A data visualization and analytics component, especially.. Apache-2 -- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 980 Β· πŸ“₯ 2.6K Β· πŸ“¦ 120 Β· πŸ“‹ 750 - 13% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 990 Β· πŸ“₯ 2.6K Β· πŸ“¦ 120 Β· πŸ“‹ 750 - 13% open Β· ⏱️ 04.05.2024): ``` git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 5.6K / month Β· πŸ“¦ 17 Β· ⏱️ 25.03.2024): +- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 5.5K / month Β· πŸ“¦ 22 Β· ⏱️ 25.03.2024): ``` pip install perspective-python ``` -- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 570K Β· ⏱️ 26.03.2024): +- [Conda](https://anaconda.org/conda-forge/perspective): ``` conda install -c conda-forge perspective ``` -- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 3.4K / month Β· πŸ“¦ 4 Β· ⏱️ 25.03.2024): +- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 3.6K / month Β· πŸ“¦ 4 Β· ⏱️ 25.03.2024): ``` npm install @finos/perspective-jupyterlab ```
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mpld3 (πŸ₯ˆ31 Β· ⭐ 2.3K) - An interactive data visualization tool which brings matplotlib graphics to.. BSD-3 + +- [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 360 Β· πŸ“¦ 5.9K Β· πŸ“‹ 360 - 59% open Β· ⏱️ 23.12.2023): + + ``` + git clone https://github.com/mpld3/mpld3 + ``` +- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 460K / month Β· πŸ“¦ 130 Β· ⏱️ 23.12.2023): + ``` + pip install mpld3 + ``` +- [Conda](https://anaconda.org/conda-forge/mpld3) (πŸ“₯ 200K Β· ⏱️ 23.12.2023): + ``` + conda install -c conda-forge mpld3 + ``` +- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 960 / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): + ``` + npm install mpld3 + ``` +
lets-plot (πŸ₯ˆ31 Β· ⭐ 1.5K) - Multiplatform plotting library based on the Grammar of Graphics. MIT -- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 46 Β· πŸ“₯ 660 Β· πŸ“¦ 73 Β· πŸ“‹ 550 - 24% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 46 Β· πŸ“₯ 660 Β· πŸ“¦ 74 Β· πŸ“‹ 560 - 24% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/JetBrains/lets-plot ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 24K / month Β· πŸ“¦ 5 Β· ⏱️ 25.04.2024): +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 23K / month Β· πŸ“¦ 8 Β· ⏱️ 25.04.2024): ``` pip install lets-plot ```
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hvPlot (πŸ₯ˆ31 Β· ⭐ 940) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 +
hvPlot (πŸ₯ˆ31 Β· ⭐ 950) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 -- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 99 Β· πŸ“¦ 4.9K Β· πŸ“‹ 750 - 44% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 99 Β· πŸ“¦ 5K Β· πŸ“‹ 750 - 44% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/holoviz/hvplot ``` -- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 180K / month Β· πŸ“¦ 120 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 200K / month Β· πŸ“¦ 170 Β· ⏱️ 06.05.2024): ``` pip install hvplot ``` -- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 560K Β· ⏱️ 30.01.2024): +- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 570K Β· ⏱️ 07.05.2024): ``` conda install -c conda-forge hvplot ``` @@ -1160,7 +1180,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/man-group/dtale ``` -- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 47K / month Β· πŸ“¦ 190 Β· ⏱️ 30.04.2024): +- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 51K / month Β· πŸ“¦ 190 Β· ⏱️ 30.04.2024): ``` pip install dtale ``` @@ -1171,12 +1191,12 @@ _General-purpose and task-specific data visualization libraries._
bqplot (πŸ₯‰30 Β· ⭐ 3.6K) - Plotting library for IPython/Jupyter notebooks. Apache-2 -- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 460 Β· πŸ“¦ 55 Β· πŸ“‹ 620 - 40% open Β· ⏱️ 25.03.2024): +- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 460 Β· πŸ“¦ 55 Β· πŸ“‹ 620 - 41% open Β· ⏱️ 25.03.2024): ``` git clone https://github.com/bqplot/bqplot ``` -- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 120K / month Β· πŸ“¦ 110 Β· ⏱️ 25.03.2024): +- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 120K / month Β· πŸ“¦ 92 Β· ⏱️ 25.03.2024): ``` pip install bqplot ``` @@ -1189,29 +1209,9 @@ _General-purpose and task-specific data visualization libraries._ npm install bqplot ```
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mpld3 (πŸ₯‰30 Β· ⭐ 2.3K) - An interactive data visualization tool which brings matplotlib graphics to.. BSD-3 - -- [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 360 Β· πŸ“¦ 5.9K Β· πŸ“‹ 360 - 59% open Β· ⏱️ 23.12.2023): - - ``` - git clone https://github.com/mpld3/mpld3 - ``` -- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 420K / month Β· πŸ“¦ 130 Β· ⏱️ 23.12.2023): - ``` - pip install mpld3 - ``` -- [Conda](https://anaconda.org/conda-forge/mpld3) (πŸ“₯ 200K Β· ⏱️ 23.12.2023): - ``` - conda install -c conda-forge mpld3 - ``` -- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 1K / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): - ``` - npm install mpld3 - ``` -
data-validation (πŸ₯‰30 Β· ⭐ 750) - 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“₯ 650 Β· πŸ“¦ 880 Β· πŸ“‹ 180 - 19% open Β· ⏱️ 24.04.2024): +- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 160 Β· πŸ“₯ 650 Β· πŸ“¦ 880 Β· πŸ“‹ 180 - 20% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/tensorflow/data-validation @@ -1228,23 +1228,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/pair-code/facets ``` -- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 250K / month Β· πŸ“¦ 8 Β· ⏱️ 24.05.2023): +- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 260K / month Β· πŸ“¦ 8 Β· ⏱️ 24.05.2023): ``` pip install facets-overview ```
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HyperTools (πŸ₯‰28 Β· ⭐ 1.8K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT - -- [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“₯ 32 Β· πŸ“¦ 400 Β· πŸ“‹ 200 - 33% open Β· ⏱️ 19.03.2024): - - ``` - git clone https://github.com/ContextLab/hypertools - ``` -- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 1.1K / month Β· πŸ“¦ 10 Β· ⏱️ 12.02.2022): - ``` - pip install hypertools - ``` -
AutoViz (πŸ₯‰28 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’» 17 Β· πŸ”€ 200 Β· πŸ“¦ 670 Β· πŸ“‹ 90 - 1% open Β· ⏱️ 29.04.2024): @@ -1252,7 +1240,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 28K / month Β· πŸ“¦ 7 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 31K / month Β· πŸ“¦ 7 Β· ⏱️ 29.04.2024): ``` pip install autoviz ``` @@ -1261,14 +1249,26 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge autoviz ```
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Plotly-Resampler (πŸ₯‰28 Β· ⭐ 940) - Visualize large time series data with plotly.py. MIT +
HyperTools (πŸ₯‰27 Β· ⭐ 1.8K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT + +- [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“₯ 32 Β· πŸ“¦ 410 Β· πŸ“‹ 200 - 33% open Β· ⏱️ 19.03.2024): + + ``` + git clone https://github.com/ContextLab/hypertools + ``` +- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 950 / month Β· πŸ“¦ 2 Β· ⏱️ 12.02.2022): + ``` + pip install hypertools + ``` +
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Plotly-Resampler (πŸ₯‰27 Β· ⭐ 950) - Visualize large time series data with plotly.py. MIT -- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 60 Β· πŸ“¦ 1K Β· πŸ“‹ 160 - 28% open Β· ⏱️ 27.03.2024): +- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 62 Β· πŸ“¦ 1.1K Β· πŸ“‹ 160 - 28% open Β· ⏱️ 27.03.2024): ``` git clone https://github.com/predict-idlab/plotly-resampler ``` -- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 440K / month Β· πŸ“¦ 12 Β· ⏱️ 27.03.2024): +- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 440K / month Β· πŸ“¦ 22 Β· ⏱️ 27.03.2024): ``` pip install plotly-resampler ``` @@ -1284,7 +1284,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 24K / month Β· πŸ“¦ 10 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 20K / month Β· πŸ“¦ 10 Β· ⏱️ 12.10.2023): ``` pip install chartify ``` @@ -1300,7 +1300,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/fbdesignpro/sweetviz ``` -- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 67K / month Β· πŸ“¦ 20 Β· ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 68K / month Β· πŸ“¦ 20 Β· ⏱️ 29.11.2023): ``` pip install sweetviz ``` @@ -1311,60 +1311,60 @@ _General-purpose and task-specific data visualization libraries._
openTSNE (πŸ₯‰26 Β· ⭐ 1.4K) - Extensible, parallel implementations of t-SNE. BSD-3 -- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 160 Β· πŸ“¦ 790 Β· πŸ“‹ 130 - 3% open Β· ⏱️ 11.03.2024): +- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 160 Β· πŸ“¦ 790 Β· πŸ“‹ 130 - 3% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/pavlin-policar/openTSNE ``` -- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 30K / month Β· πŸ“¦ 24 Β· ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 29K / month Β· πŸ“¦ 24 Β· ⏱️ 29.11.2023): ``` pip install opentsne ``` -- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 240K Β· ⏱️ 29.11.2023): +- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 250K Β· ⏱️ 29.11.2023): ``` conda install -c conda-forge opentsne ```
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python-ternary (πŸ₯‰24 Β· ⭐ 700) - Ternary plotting library for python with matplotlib. MIT +
HiPlot (πŸ₯‰24 Β· ⭐ 2.7K Β· πŸ’€) - HiPlot makes understanding high dimensional data easy. MIT -- [GitHub](https://github.com/marcharper/python-ternary) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“₯ 25 Β· πŸ“¦ 170 Β· πŸ“‹ 140 - 24% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/facebookresearch/hiplot) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 140 Β· πŸ“¦ 400 Β· πŸ“‹ 93 - 21% open Β· ⏱️ 19.07.2023): ``` - git clone https://github.com/marcharper/python-ternary + git clone https://github.com/facebookresearch/hiplot ``` -- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 40K / month Β· πŸ“¦ 27 Β· ⏱️ 17.02.2021): +- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 21K / month Β· πŸ“¦ 26 Β· ⏱️ 05.07.2022): ``` - pip install python-ternary + pip install hiplot ``` -- [Conda](https://anaconda.org/conda-forge/python-ternary) (πŸ“₯ 80K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/hiplot) (πŸ“₯ 180K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge python-ternary + conda install -c conda-forge hiplot ```
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HiPlot (πŸ₯‰22 Β· ⭐ 2.7K Β· πŸ’€) - HiPlot makes understanding high dimensional data easy. MIT +
python-ternary (πŸ₯‰24 Β· ⭐ 700) - Ternary plotting library for python with matplotlib. MIT -- [GitHub](https://github.com/facebookresearch/hiplot) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 140 Β· πŸ“¦ 3 Β· πŸ“‹ 93 - 21% open Β· ⏱️ 19.07.2023): +- [GitHub](https://github.com/marcharper/python-ternary) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“₯ 25 Β· πŸ“¦ 170 Β· πŸ“‹ 140 - 24% open Β· ⏱️ 07.03.2024): ``` - git clone https://github.com/facebookresearch/hiplot + git clone https://github.com/marcharper/python-ternary ``` -- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 21K / month Β· πŸ“¦ 17 Β· ⏱️ 05.07.2022): +- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 39K / month Β· πŸ“¦ 29 Β· ⏱️ 17.02.2021): ``` - pip install hiplot + pip install python-ternary ``` -- [Conda](https://anaconda.org/conda-forge/hiplot) (πŸ“₯ 180K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/python-ternary) (πŸ“₯ 81K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge hiplot + conda install -c conda-forge python-ternary ```
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Multicore-TSNE (πŸ₯‰22 Β· ⭐ 1.9K) - Parallel t-SNE implementation with Python and Torch.. BSD-3 +
Multicore-TSNE (πŸ₯‰23 Β· ⭐ 1.9K) - Parallel t-SNE implementation with Python and Torch.. BSD-3 - [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 230 Β· πŸ“¦ 450 Β· πŸ“‹ 69 - 65% open Β· ⏱️ 06.02.2024): ``` git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` -- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 2.4K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): +- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 2.5K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): ``` pip install MulticoreTSNE ``` @@ -1373,18 +1373,18 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge multicore-tsne ```
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vega (πŸ₯‰22 Β· ⭐ 370) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 +
vega (πŸ₯‰21 Β· ⭐ 370) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 -- [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 62 Β· πŸ“¦ 4 Β· πŸ“‹ 100 - 12% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 65 Β· πŸ“¦ 4 Β· πŸ“‹ 110 - 19% open Β· ⏱️ 01.05.2024): ``` git clone https://github.com/vega/ipyvega ``` -- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 15K / month Β· πŸ“¦ 83 Β· ⏱️ 12.04.2023): +- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 14K / month Β· πŸ“¦ 14 Β· ⏱️ 12.04.2023): ``` pip install vega ``` -- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 580K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 590K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge vega ``` @@ -1419,12 +1419,12 @@ _General-purpose and task-specific data visualization libraries._
ivis (πŸ₯‰19 Β· ⭐ 320) - 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“‹ 60 - 6% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/beringresearch/ivis) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 43 Β· πŸ“¦ 31 Β· πŸ“‹ 60 - 6% open Β· ⏱️ 09.11.2023): ``` git clone https://github.com/beringresearch/ivis ``` -- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 10.03.2022): +- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 1.3K / month Β· πŸ“¦ 2 Β· ⏱️ 10.03.2022): ``` pip install ivis ``` @@ -1456,28 +1456,28 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (πŸ₯‡51 Β· ⭐ 130K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.6K Β· πŸ”€ 25K Β· πŸ“¦ 160K Β· πŸ“‹ 15K - 7% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.6K Β· πŸ”€ 25K Β· πŸ“¦ 170K Β· πŸ“‹ 15K - 7% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/huggingface/transformers ``` -- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 26M / month Β· πŸ“¦ 5K Β· ⏱️ 23.04.2024): +- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 27M / month Β· πŸ“¦ 5K Β· ⏱️ 06.05.2024): ``` pip install transformers ``` -- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 1.6M Β· ⏱️ 27.04.2024): +- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 1.7M Β· ⏱️ 07.05.2024): ``` conda install -c conda-forge transformers ```
spaCy (πŸ₯‡44 Β· ⭐ 29K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT -- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 750 Β· πŸ”€ 4.3K Β· πŸ“¦ 87K Β· πŸ“‹ 5.6K - 1% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 750 Β· πŸ”€ 4.3K Β· πŸ“¦ 88K Β· πŸ“‹ 5.6K - 1% open Β· ⏱️ 02.05.2024): ``` git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 8.9M / month Β· πŸ“¦ 3.1K Β· ⏱️ 22.04.2024): +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 10M / month Β· πŸ“¦ 2.4K Β· ⏱️ 22.04.2024): ``` pip install spacy ``` @@ -1486,26 +1486,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge spacy ```
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litellm (πŸ₯‡42 Β· ⭐ 8.4K) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s +
litellm (πŸ₯‡42 Β· ⭐ 8.7K) - 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’» 210 Β· πŸ”€ 930 Β· πŸ“₯ 250 Β· πŸ“¦ 1.6K Β· πŸ“‹ 2.2K - 25% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 960 Β· πŸ“₯ 240 Β· πŸ“¦ 1.7K Β· πŸ“‹ 2.3K - 25% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/BerriAI/litellm ``` -- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 570K / month Β· πŸ“¦ 160 Β· ⏱️ 02.05.2024): +- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 570K / month Β· πŸ“¦ 170 Β· ⏱️ 09.05.2024): ``` pip install litellm ```
sentence-transformers (πŸ₯‡41 Β· ⭐ 14K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 -- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.3K Β· πŸ“¦ 31K Β· πŸ“‹ 2K - 53% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.3K Β· πŸ“¦ 32K Β· πŸ“‹ 2K - 53% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/UKPLab/sentence-transformers ``` -- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 4.3M / month Β· πŸ“¦ 820 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 4.3M / month Β· πŸ“¦ 1.2K Β· ⏱️ 17.04.2024): ``` pip install sentence-transformers ``` @@ -1516,12 +1516,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
nltk (πŸ₯‡41 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“¦ 270K Β· πŸ“‹ 1.8K - 14% open Β· ⏱️ 05.04.2024): +- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 2.8K Β· πŸ“¦ 270K Β· πŸ“‹ 1.8K - 15% open Β· ⏱️ 05.04.2024): ``` git clone https://github.com/nltk/nltk ``` -- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 20M / month Β· πŸ“¦ 13K Β· ⏱️ 20.07.2023): +- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 21M / month Β· πŸ“¦ 4.1K Β· ⏱️ 20.07.2023): ``` pip install nltk ``` @@ -1537,19 +1537,19 @@ _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“₯ 110K / month Β· πŸ“¦ 67 Β· ⏱️ 18.04.2024): +- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 110K / month Β· πŸ“¦ 59 Β· ⏱️ 18.04.2024): ``` pip install rasa ```
gensim (πŸ₯‡39 Β· ⭐ 15K) - Topic Modelling for Humans. ❗️LGPL-2.1 -- [GitHub](https://github.com/piskvorky/gensim) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 4.4K Β· πŸ“₯ 4.6K Β· πŸ“¦ 59K Β· πŸ“‹ 1.8K - 20% open Β· ⏱️ 08.04.2024): +- [GitHub](https://github.com/piskvorky/gensim) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 4.3K Β· πŸ“₯ 4.6K Β· πŸ“¦ 59K Β· πŸ“‹ 1.8K - 20% open Β· ⏱️ 08.04.2024): ``` git clone https://github.com/RaRe-Technologies/gensim ``` -- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 5.4M / month Β· πŸ“¦ 3.2K Β· ⏱️ 24.08.2023): +- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 5.5M / month Β· πŸ“¦ 1.3K Β· ⏱️ 24.08.2023): ``` pip install gensim ``` @@ -1560,12 +1560,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
flair (πŸ₯‡39 Β· ⭐ 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT -- [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.1K Β· πŸ“¦ 3.2K Β· πŸ“‹ 2.3K - 3% open Β· ⏱️ 05.04.2024): +- [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.1K Β· πŸ“¦ 3.2K Β· πŸ“‹ 2.3K - 3% open Β· ⏱️ 03.05.2024): ``` git clone https://github.com/flairNLP/flair ``` -- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 150K / month Β· πŸ“¦ 99 Β· ⏱️ 18.12.2023): +- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 170K / month Β· πŸ“¦ 99 Β· ⏱️ 18.12.2023): ``` pip install flair ``` @@ -1574,14 +1574,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge python-flair ```
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Tokenizers (πŸ₯‡39 Β· ⭐ 8.4K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 +
Tokenizers (πŸ₯‡39 Β· ⭐ 8.5K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 -- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 710 Β· πŸ“₯ 47 Β· πŸ“¦ 74K Β· πŸ“‹ 960 - 10% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 730 Β· πŸ“₯ 47 Β· πŸ“¦ 76K Β· πŸ“‹ 940 - 8% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/huggingface/tokenizers ``` -- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 24M / month Β· πŸ“¦ 470 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 25M / month Β· πŸ“¦ 740 Β· ⏱️ 17.04.2024): ``` pip install tokenizers ``` @@ -1590,30 +1590,30 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge tokenizers ```
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sentencepiece (πŸ₯‡37 Β· ⭐ 9.5K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 +
sentencepiece (πŸ₯‡38 Β· ⭐ 9.6K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 -- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 1.1K Β· πŸ“₯ 36K Β· πŸ“¦ 63K Β· πŸ“‹ 730 - 4% open Β· ⏱️ 14.04.2024): +- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 1.1K Β· πŸ“₯ 36K Β· πŸ“¦ 64K Β· πŸ“‹ 720 - 3% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/google/sentencepiece ``` -- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 22M / month Β· πŸ“¦ 1K Β· ⏱️ 19.02.2024): +- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 22M / month Β· πŸ“¦ 1.5K Β· ⏱️ 19.02.2024): ``` pip install sentencepiece ``` -- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 770K Β· ⏱️ 19.03.2024): +- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 780K Β· ⏱️ 19.03.2024): ``` conda install -c conda-forge sentencepiece ```
TextBlob (πŸ₯‡37 Β· ⭐ 9K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT -- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.1K Β· πŸ“₯ 120 Β· πŸ“¦ 38K Β· πŸ“‹ 280 - 39% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.1K Β· πŸ“₯ 120 Β· πŸ“¦ 38K Β· πŸ“‹ 280 - 39% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/sloria/TextBlob ``` -- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 1M / month Β· πŸ“¦ 1.5K Β· ⏱️ 22.10.2021): +- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 1M / month Β· πŸ“¦ 330 Β· ⏱️ 22.10.2021): ``` pip install textblob ``` @@ -1624,24 +1624,24 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
haystack (πŸ₯ˆ36 Β· ⭐ 14K) - LLM orchestration framework to build customizable, production-ready.. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.6K Β· πŸ“₯ 24 Β· πŸ“¦ 220 Β· πŸ“‹ 3.2K - 5% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.6K Β· πŸ“₯ 24 Β· πŸ“¦ 240 Β· πŸ“‹ 3.2K - 6% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/deepset-ai/haystack ``` -- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 3.9K / month Β· πŸ“¦ 5 Β· ⏱️ 15.12.2021): +- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 4K / month Β· πŸ“¦ 5 Β· ⏱️ 15.12.2021): ``` pip install haystack ```
NeMo (πŸ₯ˆ36 Β· ⭐ 10K) - A scalable generative AI framework built for researchers and.. Apache-2 -- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 2.1K Β· πŸ“₯ 160K Β· πŸ“¦ 21 Β· πŸ“‹ 2.1K - 5% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 2.1K Β· πŸ“₯ 170K Β· πŸ“¦ 21 Β· πŸ“‹ 2.1K - 5% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/NVIDIA/NeMo ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 54K / month Β· πŸ“¦ 10 Β· ⏱️ 28.02.2024): +- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 50K / month Β· πŸ“¦ 10 Β· ⏱️ 28.02.2024): ``` pip install nemo-toolkit ``` @@ -1665,11 +1665,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/facebookresearch/fairseq ``` -- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 300K / month Β· πŸ“¦ 78 Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 290K / month Β· πŸ“¦ 110 Β· ⏱️ 27.06.2022): ``` pip install fairseq ``` -- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 64K Β· ⏱️ 03.12.2023): +- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 65K Β· ⏱️ 03.12.2023): ``` conda install -c conda-forge fairseq ``` @@ -1693,7 +1693,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/pytorch/text ``` -- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 630K / month Β· πŸ“¦ 500 Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 670K / month Β· πŸ“¦ 260 Β· ⏱️ 24.04.2024): ``` pip install torchtext ``` @@ -1705,7 +1705,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/facebookresearch/fastText ``` -- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.2M / month Β· πŸ“¦ 230 Β· ⏱️ 28.04.2020): +- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.1M / month Β· πŸ“¦ 220 Β· ⏱️ 28.04.2020): ``` pip install fasttext ``` @@ -1716,12 +1716,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
stanza (πŸ₯ˆ34 Β· ⭐ 7.1K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2 -- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 870 Β· πŸ“¦ 2.7K Β· πŸ“‹ 880 - 11% open Β· ⏱️ 20.04.2024): +- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 870 Β· πŸ“¦ 2.7K Β· πŸ“‹ 880 - 10% open Β· ⏱️ 20.04.2024): ``` git clone https://github.com/stanfordnlp/stanza ``` -- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 200K / month Β· πŸ“¦ 99 Β· ⏱️ 20.04.2024): +- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 220K / month Β· πŸ“¦ 170 Β· ⏱️ 20.04.2024): ``` pip install stanza ``` @@ -1732,24 +1732,24 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
TensorFlow Text (πŸ₯ˆ34 Β· ⭐ 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 320 Β· πŸ“¦ 6.7K Β· πŸ“‹ 330 - 48% open Β· ⏱️ 13.03.2024): +- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 330 Β· πŸ“¦ 6.8K Β· πŸ“‹ 340 - 49% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/tensorflow/text ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 7M / month Β· πŸ“¦ 140 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 7.2M / month Β· πŸ“¦ 200 Β· ⏱️ 11.03.2024): ``` pip install tensorflow-text ```
rubrix (πŸ₯ˆ33 Β· ⭐ 3.1K) - Argilla is a collaboration platform for AI engineers and domain.. Apache-2 -- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 310 Β· πŸ“¦ 2.4K Β· πŸ“‹ 1.9K - 8% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 310 Β· πŸ“¦ 2.5K Β· πŸ“‹ 1.9K - 7% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/recognai/rubrix ``` -- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 780 / month Β· ⏱️ 24.10.2022): +- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 920 / month Β· ⏱️ 24.10.2022): ``` pip install rubrix ``` @@ -1760,64 +1760,48 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
qdrant (πŸ₯ˆ32 Β· ⭐ 18K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2 -- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.2K Β· πŸ“₯ 31K Β· πŸ“¦ 110 Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 22.04.2024): +- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.2K Β· πŸ“₯ 32K Β· πŸ“¦ 110 Β· πŸ“‹ 1.1K - 20% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/qdrant/qdrant ```
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DeepPavlov (πŸ₯ˆ32 Β· ⭐ 6.5K) - An open source library for deep learning end-to-end dialog.. Apache-2 +
DeepPavlov (πŸ₯ˆ32 Β· ⭐ 6.6K) - An open source library for deep learning end-to-end dialog.. Apache-2 - [GitHub](https://github.com/deeppavlov/DeepPavlov) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 1.1K Β· πŸ“¦ 390 Β· πŸ“‹ 640 - 3% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/deepmipt/DeepPavlov ``` -- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 9.6K / month Β· πŸ“¦ 7 Β· ⏱️ 13.03.2024): +- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 11K / month Β· πŸ“¦ 7 Β· ⏱️ 13.03.2024): ``` pip install deeppavlov ```
ftfy (πŸ₯ˆ32 Β· ⭐ 3.7K) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2 -- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 19K Β· πŸ“‹ 140 - 10% open Β· ⏱️ 15.03.2024): +- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 19K Β· πŸ“‹ 140 - 13% open Β· ⏱️ 15.03.2024): ``` git clone https://github.com/rspeer/python-ftfy ``` -- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 4.8M / month Β· πŸ“¦ 680 Β· ⏱️ 15.03.2024): +- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 4.9M / month Β· πŸ“¦ 490 Β· ⏱️ 15.03.2024): ``` pip install ftfy ``` -- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 280K Β· ⏱️ 22.11.2023): +- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 290K Β· ⏱️ 22.11.2023): ``` conda install -c conda-forge ftfy ```
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snowballstemmer (πŸ₯ˆ32 Β· ⭐ 720) - 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“‹ 92 - 33% open Β· ⏱️ 02.05.2024): - - ``` - git clone https://github.com/snowballstem/snowball - ``` -- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 16M / month Β· πŸ“¦ 6.8K Β· ⏱️ 16.11.2021): - ``` - pip install snowballstemmer - ``` -- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 8M Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge snowballstemmer - ``` -
jellyfish (πŸ₯ˆ31 Β· ⭐ 2K) - a python library for doing approximate and phonetic matching of strings. MIT -- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 160 Β· πŸ“¦ 8.8K Β· πŸ“‹ 130 - 5% open Β· ⏱️ 28.03.2024): +- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 160 Β· πŸ“¦ 8.8K Β· πŸ“‹ 130 - 4% open Β· ⏱️ 28.03.2024): ``` git clone https://github.com/jamesturk/jellyfish ``` -- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 3M / month Β· πŸ“¦ 470 Β· ⏱️ 17.11.2023): +- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 3.2M / month Β· πŸ“¦ 240 Β· ⏱️ 17.11.2023): ``` pip install jellyfish ``` @@ -1833,7 +1817,7 @@ _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“₯ 2.6K / 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 ``` @@ -1845,27 +1829,27 @@ _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“₯ 77K / month Β· πŸ“¦ 50 Β· ⏱️ 17.02.2023): +- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 76K / month Β· πŸ“¦ 18 Β· ⏱️ 17.02.2023): ``` pip install dedupe ``` -- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 46K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 47K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge dedupe ```
TextDistance (πŸ₯ˆ30 Β· ⭐ 3.3K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT -- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 240 Β· πŸ“₯ 1K Β· πŸ“¦ 6.2K Β· ⏱️ 24.04.2024): +- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 240 Β· πŸ“₯ 1K Β· πŸ“¦ 6.3K Β· ⏱️ 24.04.2024): ``` git clone https://github.com/life4/textdistance ``` -- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 760K / month Β· πŸ“¦ 71 Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 850K / month Β· πŸ“¦ 93 Β· ⏱️ 24.04.2024): ``` pip install textdistance ``` -- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 540K Β· ⏱️ 25.04.2024): +- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 550K Β· ⏱️ 25.04.2024): ``` conda install -c conda-forge textdistance ``` @@ -1877,7 +1861,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/allenai/scispacy ``` -- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 27K / month Β· πŸ“¦ 31 Β· ⏱️ 08.03.2024): +- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 26K / month Β· πŸ“¦ 31 Β· ⏱️ 08.03.2024): ``` pip install scispacy ``` @@ -1889,39 +1873,55 @@ _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“₯ 230K / month Β· πŸ“¦ 51 Β· ⏱️ 25.04.2024): +- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 240K / month Β· πŸ“¦ 51 Β· ⏱️ 25.04.2024): ``` pip install spacy-transformers ``` -- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 31K Β· ⏱️ 19.12.2023): +- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 32K Β· ⏱️ 19.12.2023): ``` conda install -c conda-forge spacy-transformers ```
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Sumy (πŸ₯ˆ28 Β· ⭐ 3.4K Β· πŸ“‰) - Module for automatic summarization of text documents and HTML pages. Apache-2 +
snowballstemmer (πŸ₯ˆ30 Β· ⭐ 720 Β· πŸ“‰) - 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“‹ 88 - 30% open Β· ⏱️ 02.05.2024): + + ``` + git clone https://github.com/snowballstem/snowball + ``` +- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 16M / month Β· πŸ“¦ 400 Β· ⏱️ 16.11.2021): + ``` + pip install snowballstemmer + ``` +- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 8M Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge snowballstemmer + ``` +
+
Sumy (πŸ₯ˆ29 Β· ⭐ 3.4K) - Module for automatic summarization of text documents and HTML pages. Apache-2 - [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 520 Β· πŸ“¦ 2.7K Β· πŸ“‹ 120 - 16% open Β· ⏱️ 24.02.2024): ``` git clone https://github.com/miso-belica/sumy ``` -- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 420K / month Β· πŸ“¦ 26 Β· ⏱️ 23.10.2022): +- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 390K / month Β· πŸ“¦ 26 Β· ⏱️ 23.10.2022): ``` pip install sumy ``` -- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 7.7K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 7.8K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge sumy ```
CLTK (πŸ₯ˆ28 Β· ⭐ 820) - The Classical Language Toolkit. MIT -- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 320 Β· πŸ“₯ 64 Β· πŸ“¦ 260 Β· πŸ“‹ 570 - 6% open Β· ⏱️ 20.04.2024): +- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 320 Β· πŸ“₯ 64 Β· πŸ“¦ 260 Β· πŸ“‹ 570 - 6% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/cltk/cltk ``` -- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 1.9K / month Β· πŸ“¦ 15 Β· ⏱️ 20.04.2024): +- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 2.1K / month Β· πŸ“¦ 15 Β· ⏱️ 07.05.2024): ``` pip install cltk ``` @@ -1933,7 +1933,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/Ciphey/Ciphey ``` -- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 49K / month Β· ⏱️ 06.06.2021): +- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 47K / month Β· ⏱️ 06.06.2021): ``` pip install ciphey ``` @@ -1944,88 +1944,88 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
DeepKE (πŸ₯‰27 Β· ⭐ 3K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT -- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 630 Β· πŸ“¦ 21 Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 630 Β· πŸ“¦ 21 Β· πŸ“‹ 470 - 0% open Β· ⏱️ 30.04.2024): ``` git clone https://github.com/zjunlp/deepke ``` -- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 1K / month Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 720 / month Β· ⏱️ 21.09.2023): ``` pip install deepke ```
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PyTextRank (πŸ₯‰26 Β· ⭐ 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT +
scattertext (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ“ˆ) - Beautiful visualizations of how language differs among.. Apache-2 -- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 380 Β· πŸ“¦ 640 Β· πŸ“‹ 99 - 7% open Β· ⏱️ 21.02.2024): +- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 280 Β· πŸ“¦ 540 Β· πŸ“‹ 100 - 21% open Β· ⏱️ 06.03.2024): ``` - git clone https://github.com/DerwenAI/pytextrank - ``` -- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 42K / month Β· πŸ“¦ 17 Β· ⏱️ 21.02.2024): + git clone https://github.com/JasonKessler/scattertext ``` - pip install pytextrank +- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 15K / month Β· πŸ“¦ 5 Β· ⏱️ 06.03.2024): ``` -
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pytorch-nlp (πŸ₯‰25 Β· ⭐ 2.2K Β· πŸ’€) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 - -- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 250 Β· πŸ“¦ 670 Β· πŸ“‹ 69 - 27% open Β· ⏱️ 04.07.2023): - - ``` - git clone https://github.com/PetrochukM/PyTorch-NLP + pip install scattertext ``` -- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 9.1K / month Β· πŸ“¦ 19 Β· ⏱️ 04.11.2019): +- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 88K Β· ⏱️ 16.06.2023): ``` - pip install pytorch-nlp + conda install -c conda-forge scattertext ```
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scattertext (πŸ₯‰25 Β· ⭐ 2.2K Β· πŸ“‰) - Beautiful visualizations of how language differs among.. Apache-2 +
PyTextRank (πŸ₯‰26 Β· ⭐ 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT -- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 280 Β· πŸ“‹ 100 - 21% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 380 Β· πŸ“¦ 640 Β· πŸ“‹ 99 - 7% open Β· ⏱️ 21.02.2024): ``` - git clone https://github.com/JasonKessler/scattertext - ``` -- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 15K / month Β· πŸ“¦ 11 Β· ⏱️ 06.03.2024): - ``` - pip install scattertext + git clone https://github.com/DerwenAI/pytextrank ``` -- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 88K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 42K / month Β· πŸ“¦ 17 Β· ⏱️ 21.02.2024): ``` - conda install -c conda-forge scattertext + pip install pytextrank ```
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OpenPrompt (πŸ₯‰24 Β· ⭐ 4.2K Β· πŸ’€) - An Open-Source Framework for Prompt-Learning. Apache-2 +
OpenPrompt (πŸ₯‰25 Β· ⭐ 4.2K 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“¦ 120 Β· πŸ“‹ 250 - 30% open Β· ⏱️ 06.05.2023): ``` git clone https://github.com/thunlp/OpenPrompt ``` -- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 770 / month Β· πŸ“¦ 2 Β· ⏱️ 06.07.2022): +- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 06.07.2022): ``` pip install openprompt ```
+
pytorch-nlp (πŸ₯‰25 Β· ⭐ 2.2K Β· πŸ’€) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 + +- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 250 Β· πŸ“¦ 680 Β· πŸ“‹ 69 - 27% open Β· ⏱️ 04.07.2023): + + ``` + git clone https://github.com/PetrochukM/PyTorch-NLP + ``` +- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 8.9K / month Β· πŸ“¦ 19 Β· ⏱️ 04.11.2019): + ``` + pip install pytorch-nlp + ``` +
promptsource (πŸ₯‰24 Β· ⭐ 2.5K Β· πŸ’€) - Toolkit for creating, sharing and using natural language.. Apache-2 -- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 320 Β· πŸ“¦ 91 Β· πŸ“‹ 200 - 24% open Β· ⏱️ 23.10.2023): +- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 340 Β· πŸ“¦ 92 Β· πŸ“‹ 190 - 22% open Β· ⏱️ 23.10.2023): ``` git clone https://github.com/bigscience-workshop/promptsource ``` -- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 350 / month Β· πŸ“¦ 1 Β· ⏱️ 18.04.2022): +- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 400 / month Β· πŸ“¦ 4 Β· ⏱️ 18.04.2022): ``` pip install promptsource ```
detoxify (πŸ₯‰24 Β· ⭐ 840) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 -- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 110 Β· πŸ“₯ 460K Β· πŸ“¦ 580 Β· πŸ“‹ 62 - 56% open Β· ⏱️ 01.02.2024): +- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 110 Β· πŸ“₯ 470K Β· πŸ“¦ 590 Β· πŸ“‹ 62 - 56% open Β· ⏱️ 01.02.2024): ``` git clone https://github.com/unitaryai/detoxify ``` -- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 26K / month Β· πŸ“¦ 15 Β· ⏱️ 01.02.2024): +- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 25K / month Β· πŸ“¦ 15 Β· ⏱️ 01.02.2024): ``` pip install detoxify ``` @@ -2037,7 +2037,7 @@ _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“₯ 40K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): +- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 49K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): ``` pip install t5 ``` @@ -2049,7 +2049,7 @@ _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“₯ 9.6K / month Β· πŸ“¦ 6 Β· ⏱️ 01.07.2021): +- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 9.5K / month Β· πŸ“¦ 6 Β· ⏱️ 01.07.2021): ``` pip install texthero ``` @@ -2061,7 +2061,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 03.03.2023): +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 03.03.2023): ``` pip install sockeye ``` @@ -2085,14 +2085,14 @@ _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“₯ 3K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): +- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 2.8K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): ``` pip install happytransformer ```
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UForm (πŸ₯‰21 Β· ⭐ 890) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 +
UForm (πŸ₯‰21 Β· ⭐ 900) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 -- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 51 Β· πŸ“₯ 230 Β· πŸ“¦ 6 Β· πŸ“‹ 23 - 17% open Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 51 Β· πŸ“₯ 240 Β· πŸ“¦ 6 Β· πŸ“‹ 23 - 17% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/unum-cloud/uform @@ -2109,7 +2109,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/IndicoDataSolutions/finetune ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 240 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 250 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): ``` pip install finetune ``` @@ -2121,40 +2121,40 @@ _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“₯ 690 / month Β· ⏱️ 29.12.2023): +- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 750 / month Β· ⏱️ 29.12.2023): ``` pip install small-text ``` -- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 5.7K Β· ⏱️ 29.12.2023): +- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 5.8K Β· ⏱️ 29.12.2023): ``` conda install -c conda-forge small-text ```
lightseq (πŸ₯‰20 Β· ⭐ 3.1K Β· πŸ’€) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2 -- [GitHub](https://github.com/bytedance/lightseq) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 320 Β· πŸ“₯ 670 Β· πŸ“‹ 280 - 61% open Β· ⏱️ 10.05.2023): +- [GitHub](https://github.com/bytedance/lightseq) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 320 Β· πŸ“₯ 680 Β· πŸ“‹ 280 - 61% open Β· ⏱️ 10.05.2023): ``` git clone https://github.com/bytedance/lightseq ``` -- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 2.8K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): +- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 3.2K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): ``` pip install lightseq ```
textaugment (πŸ₯‰18 Β· ⭐ 370) - TextAugment: Text Augmentation Library. MIT -- [GitHub](https://github.com/dsfsi/textaugment) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 61 Β· πŸ“₯ 65 Β· πŸ“¦ 93 Β· πŸ“‹ 29 - 37% open Β· ⏱️ 17.11.2023): +- [GitHub](https://github.com/dsfsi/textaugment) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 61 Β· πŸ“₯ 67 Β· πŸ“¦ 93 Β· πŸ“‹ 29 - 37% open Β· ⏱️ 17.11.2023): ``` git clone https://github.com/dsfsi/textaugment ``` -- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 4.5K / month Β· πŸ“¦ 4 Β· ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 4.6K / month Β· πŸ“¦ 4 Β· ⏱️ 16.11.2023): ``` pip install textaugment ```
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OpenNRE (πŸ₯‰17 Β· ⭐ 4.2K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT +
OpenNRE (πŸ₯‰17 Β· ⭐ 4.3K) - 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“¦ 3 Β· πŸ“‹ 370 - 3% open Β· ⏱️ 10.01.2024): @@ -2192,8 +2192,8 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - AllenNLP (πŸ₯ˆ35 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 - fuzzywuzzy (πŸ₯ˆ33 Β· ⭐ 9.1K Β· πŸ’€) - Fuzzy String Matching in Python. ❗️GPL-2.0 - nlpaug (πŸ₯ˆ29 Β· ⭐ 4.3K Β· πŸ’€) - Data augmentation for NLP. MIT -- GluonNLP (πŸ₯ˆ29 Β· ⭐ 2.5K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 -- vaderSentiment (πŸ₯ˆ28 Β· ⭐ 4.2K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT +- GluonNLP (πŸ₯ˆ29 Β· ⭐ 2.6K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 +- vaderSentiment (πŸ₯ˆ28 Β· ⭐ 4.3K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT - fastNLP (πŸ₯ˆ28 Β· ⭐ 3K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 - langid (πŸ₯ˆ28 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. BSD-3 - english-words (πŸ₯‰27 Β· ⭐ 10K Β· πŸ’€) - A text file containing 479k English words for all your.. Unlicense @@ -2201,12 +2201,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - textacy (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ’€) - NLP, before and after spaCy. ❗Unlicensed - flashtext (πŸ₯‰26 Β· ⭐ 5.5K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT - underthesea (πŸ₯‰26 Β· ⭐ 1.3K Β· πŸ’€) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 -- whoosh (πŸ₯‰26 Β· ⭐ 530 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause -- PyText (πŸ₯‰25 Β· ⭐ 6.4K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 +- PyText (πŸ₯‰25 Β· ⭐ 6.3K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 - 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 - sense2vec (πŸ₯‰25 Β· ⭐ 1.6K Β· πŸ’€) - Contextually-keyed word vectors. MIT - pySBD (πŸ₯‰25 Β· ⭐ 730 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT +- whoosh (πŸ₯‰25 Β· ⭐ 530 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause - 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 - Kashgari (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Kashgari is a production-level NLP Transfer learning.. Apache-2 @@ -2247,12 +2247,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (πŸ₯‡48 Β· ⭐ 12K) - Python Imaging Library (Fork). ❗️PIL -- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 2.1K Β· πŸ“¦ 1.6M Β· πŸ“‹ 3.1K - 3% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 2.1K Β· πŸ“¦ 1.6M Β· πŸ“‹ 3.1K - 3% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/python-pillow/Pillow ``` -- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 97M / month Β· πŸ“¦ 2.4K Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 97M / month Β· πŸ“¦ 4.1K Β· ⏱️ 01.04.2024): ``` pip install Pillow ``` @@ -2263,12 +2263,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
torchvision (πŸ₯‡42 Β· ⭐ 15K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 6.8K Β· πŸ“₯ 38K Β· πŸ“¦ 21 Β· πŸ“‹ 3.4K - 29% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 6.8K Β· πŸ“₯ 38K Β· πŸ“¦ 21 Β· πŸ“‹ 3.4K - 29% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/pytorch/vision ``` -- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 12M / month Β· πŸ“¦ 5.3K Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 13M / month Β· πŸ“¦ 4.8K Β· ⏱️ 24.04.2024): ``` pip install torchvision ``` @@ -2279,28 +2279,40 @@ _Libraries for image & video processing, manipulation, and augmentation as well
PyTorch Image Models (πŸ₯‡41 Β· ⭐ 30K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 -- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 4.6K Β· πŸ“₯ 6.5M Β· πŸ“¦ 28K Β· πŸ“‹ 870 - 7% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 4.6K Β· πŸ“₯ 6.5M Β· πŸ“¦ 28K Β· πŸ“‹ 870 - 7% open Β· ⏱️ 04.05.2024): ``` git clone https://github.com/rwightman/pytorch-image-models ``` -- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 5.2M / month Β· πŸ“¦ 5.6K Β· ⏱️ 19.02.2024): +- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 5.1M / month Β· πŸ“¦ 710 Β· ⏱️ 19.02.2024): ``` pip install timm ``` -- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 140K Β· ⏱️ 21.02.2024): +- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 150K Β· ⏱️ 21.02.2024): ``` conda install -c conda-forge timm ```
+
MMDetection (πŸ₯‡38 Β· ⭐ 28K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 + +- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 9.2K Β· πŸ“¦ 2.5K Β· πŸ“‹ 8.2K - 19% open Β· ⏱️ 05.02.2024): + + ``` + git clone https://github.com/open-mmlab/mmdetection + ``` +- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 210K / month Β· πŸ“¦ 64 Β· ⏱️ 05.01.2024): + ``` + pip install mmdet + ``` +
Albumentations (πŸ₯‡38 Β· ⭐ 13K) - Fast image augmentation library and an easy-to-use wrapper.. MIT -- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.6K Β· πŸ“¦ 23K Β· πŸ“‹ 920 - 46% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.6K Β· πŸ“¦ 23K Β· πŸ“‹ 930 - 45% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 1.9M / month Β· πŸ“¦ 500 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 2.1M / month Β· πŸ“¦ 500 Β· ⏱️ 04.05.2024): ``` pip install albumentations ``` @@ -2311,12 +2323,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Kornia (πŸ₯‡38 Β· ⭐ 9.4K) - Geometric Computer Vision Library for Spatial AI. Apache-2 -- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 940 Β· πŸ“₯ 1.1K Β· πŸ“¦ 9.6K Β· πŸ“‹ 900 - 29% open Β· ⏱️ 24.04.2024): +- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 940 Β· πŸ“₯ 1.1K Β· πŸ“¦ 9.7K Β· πŸ“‹ 900 - 29% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/kornia/kornia ``` -- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 1.5M / month Β· πŸ“¦ 140 Β· ⏱️ 14.03.2024): +- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 1.5M / month Β· πŸ“¦ 240 Β· ⏱️ 14.03.2024): ``` pip install kornia ``` @@ -2325,18 +2337,6 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge kornia ```
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MMDetection (πŸ₯ˆ37 Β· ⭐ 28K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 - -- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 9.2K Β· πŸ“¦ 2.4K Β· πŸ“‹ 8.2K - 18% open Β· ⏱️ 05.02.2024): - - ``` - git clone https://github.com/open-mmlab/mmdetection - ``` -- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 210K / month Β· πŸ“¦ 39 Β· ⏱️ 05.01.2024): - ``` - pip install mmdet - ``` -
MoviePy (πŸ₯ˆ37 Β· ⭐ 12K Β· πŸ’€) - Video editing with Python. MIT - [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.5K Β· πŸ“¦ 38K Β· πŸ“‹ 1.5K - 28% open Β· ⏱️ 11.07.2023): @@ -2344,7 +2344,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/Zulko/moviepy ``` -- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 1M / month Β· πŸ“¦ 1.1K Β· ⏱️ 15.12.2021): +- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 1.1M / month Β· πŸ“¦ 780 Β· ⏱️ 15.12.2021): ``` pip install moviepy ``` @@ -2355,24 +2355,24 @@ _Libraries for image & video processing, manipulation, and augmentation as well
deepface (πŸ₯ˆ37 Β· ⭐ 10K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT -- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 1.8K Β· πŸ“¦ 3K Β· πŸ“‹ 1K - 0% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 1.8K Β· πŸ“¦ 3.1K Β· πŸ“‹ 1K - 0% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/serengil/deepface ``` -- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 62K / month Β· πŸ“¦ 33 Β· ⏱️ 02.05.2024): +- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 63K / month Β· πŸ“¦ 33 Β· ⏱️ 02.05.2024): ``` pip install deepface ```
imageio (πŸ₯ˆ37 Β· ⭐ 1.4K) - Python library for reading and writing image data. BSD-2 -- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“₯ 1K Β· πŸ“¦ 120K Β· πŸ“‹ 600 - 17% open Β· ⏱️ 22.04.2024): +- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“₯ 1K Β· πŸ“¦ 130K Β· πŸ“‹ 600 - 17% open Β· ⏱️ 05.05.2024): ``` git clone https://github.com/imageio/imageio ``` -- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 22M / month Β· πŸ“¦ 3.2K Β· ⏱️ 22.04.2024): +- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 23M / month Β· πŸ“¦ 2.2K Β· ⏱️ 22.04.2024): ``` pip install imageio ``` @@ -2383,104 +2383,92 @@ _Libraries for image & video processing, manipulation, and augmentation as well
InsightFace (πŸ₯ˆ36 Β· ⭐ 21K) - State-of-the-art 2D and 3D Face Analysis Project. MIT -- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 5.1K Β· πŸ“₯ 3M Β· πŸ“¦ 2K Β· πŸ“‹ 2.4K - 44% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 5.2K Β· πŸ“₯ 3.1M Β· πŸ“¦ 2.1K Β· πŸ“‹ 2.4K - 44% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/deepinsight/insightface ``` -- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 400K / month Β· πŸ“¦ 13 Β· ⏱️ 17.12.2022): +- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 400K / month Β· πŸ“¦ 20 Β· ⏱️ 17.12.2022): ``` pip install insightface ```
opencv-python (πŸ₯ˆ36 Β· ⭐ 4.2K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 830 Β· πŸ“¦ 380K Β· πŸ“‹ 760 - 13% open Β· ⏱️ 31.12.2023): +- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 800 Β· πŸ“¦ 390K Β· πŸ“‹ 770 - 14% open Β· ⏱️ 31.12.2023): ``` git clone https://github.com/opencv/opencv-python ``` -- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 14M / month Β· πŸ“¦ 12K Β· ⏱️ 31.12.2023): +- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 14M / month Β· πŸ“¦ 9.2K Β· ⏱️ 31.12.2023): ``` pip install opencv-python ```
detectron2 (πŸ₯ˆ34 Β· ⭐ 29K) - Detectron2 is a platform for object detection, segmentation.. Apache-2 -- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 7.2K Β· πŸ“¦ 1.7K Β· πŸ“‹ 3.5K - 13% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 7.2K Β· πŸ“¦ 1.8K Β· πŸ“‹ 3.5K - 13% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/facebookresearch/detectron2 ``` -- [PyPi](https://pypi.org/project/detectron2) (πŸ“¦ 6 Β· ⏱️ 06.02.2020): +- [PyPi](https://pypi.org/project/detectron2) (πŸ“₯ 1 / month Β· πŸ“¦ 11 Β· ⏱️ 06.02.2020): ``` pip install detectron2 ``` -- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 240K Β· ⏱️ 18.01.2024): +- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 250K Β· ⏱️ 18.01.2024): ``` conda install -c conda-forge detectron2 ```
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Wand (πŸ₯ˆ34 Β· ⭐ 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT +
Wand (πŸ₯ˆ33 Β· ⭐ 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT -- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“₯ 46K Β· πŸ“¦ 19K Β· πŸ“‹ 420 - 5% open Β· ⏱️ 11.02.2024): +- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“₯ 46K Β· πŸ“¦ 19K Β· πŸ“‹ 420 - 6% open Β· ⏱️ 11.02.2024): ``` git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 800K / month Β· πŸ“¦ 720 Β· ⏱️ 03.11.2023): +- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 790K / month Β· πŸ“¦ 230 Β· ⏱️ 03.11.2023): ``` pip install wand ``` -- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 42K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 44K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge wand ```
PaddleSeg (πŸ₯ˆ32 Β· ⭐ 8.3K) - 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“¦ 1.2K Β· πŸ“‹ 2.1K - 14% open Β· ⏱️ 08.03.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“¦ 1.2K Β· πŸ“‹ 2.1K - 10% open Β· ⏱️ 08.03.2024): ``` git clone https://github.com/PaddlePaddle/PaddleSeg ``` -- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 2.5K / month Β· πŸ“¦ 4 Β· ⏱️ 30.11.2022): +- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 2.4K / month Β· πŸ“¦ 7 Β· ⏱️ 30.11.2022): ``` pip install paddleseg ```
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doctr (πŸ₯ˆ32 Β· ⭐ 3.1K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 - -- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 360 Β· πŸ“₯ 2.8M Β· πŸ“¦ 290 Β· πŸ“‹ 330 - 10% open Β· ⏱️ 30.04.2024): - - ``` - git clone https://github.com/mindee/doctr - ``` -- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 30K / month Β· πŸ“¦ 3 Β· ⏱️ 04.03.2024): - ``` - pip install python-doctr - ``` -
lightly (πŸ₯ˆ31 Β· ⭐ 2.8K) - A python library for self-supervised learning on images. MIT -- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 240 Β· πŸ“¦ 250 Β· πŸ“‹ 520 - 19% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 240 Β· πŸ“¦ 250 Β· πŸ“‹ 520 - 19% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/lightly-ai/lightly ``` -- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 30K / month Β· πŸ“¦ 7 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 31K / month Β· πŸ“¦ 7 Β· ⏱️ 17.04.2024): ``` pip install lightly ```
vit-pytorch (πŸ₯ˆ30 Β· ⭐ 18K) - Implementation of Vision Transformer, a simple way to achieve.. MIT -- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 2.8K Β· πŸ“¦ 450 Β· πŸ“‹ 260 - 46% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 2.8K Β· πŸ“¦ 450 Β· πŸ“‹ 260 - 46% open Β· ⏱️ 02.05.2024): ``` git clone https://github.com/lucidrains/vit-pytorch ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 22K / month Β· πŸ“¦ 6 Β· ⏱️ 18.04.2024): +- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 22K / month Β· πŸ“¦ 11 Β· ⏱️ 02.05.2024): ``` pip install vit-pytorch ``` @@ -2492,7 +2480,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/OlafenwaMoses/ImageAI ``` -- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 6.3K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 6.6K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2023): ``` pip install imageai ``` @@ -2512,7 +2500,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install sahi ``` -- [Conda](https://anaconda.org/conda-forge/sahi) (πŸ“₯ 56K Β· ⏱️ 06.11.2023): +- [Conda](https://anaconda.org/conda-forge/sahi) (πŸ“₯ 57K Β· ⏱️ 06.11.2023): ``` conda install -c conda-forge sahi ``` @@ -2524,27 +2512,39 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/JohannesBuchner/imagehash ``` -- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.6M / month Β· πŸ“¦ 400 Β· ⏱️ 28.09.2022): +- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.6M / month Β· πŸ“¦ 210 Β· ⏱️ 28.09.2022): ``` pip install ImageHash ``` -- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 360K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 370K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge imagehash ```
+
doctr (πŸ₯‰29 Β· ⭐ 3.1K Β· πŸ“‰) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 + +- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 360 Β· πŸ“₯ 2.9M Β· πŸ“‹ 330 - 9% open Β· ⏱️ 07.05.2024): + + ``` + git clone https://github.com/mindee/doctr + ``` +- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 30K / month Β· πŸ“¦ 3 Β· ⏱️ 04.03.2024): + ``` + pip install python-doctr + ``` +
mahotas (πŸ₯‰29 Β· ⭐ 830) - Computer Vision in Python. MIT -- [GitHub](https://github.com/luispedro/mahotas) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 150 Β· πŸ“¦ 1.3K Β· πŸ“‹ 90 - 23% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/luispedro/mahotas) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 150 Β· πŸ“¦ 1.3K Β· πŸ“‹ 90 - 23% open Β· ⏱️ 02.05.2024): ``` git clone https://github.com/luispedro/mahotas ``` -- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 17K / month Β· πŸ“¦ 60 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 18K / month Β· πŸ“¦ 60 Β· ⏱️ 17.04.2024): ``` pip install mahotas ``` -- [Conda](https://anaconda.org/conda-forge/mahotas) (πŸ“₯ 400K Β· ⏱️ 18.04.2024): +- [Conda](https://anaconda.org/conda-forge/mahotas) (πŸ“₯ 410K Β· ⏱️ 18.04.2024): ``` conda install -c conda-forge mahotas ``` @@ -2556,7 +2556,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/PaddlePaddle/PaddleDetection ``` -- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 750 / month Β· πŸ“¦ 1 Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 730 / month Β· πŸ“¦ 2 Β· ⏱️ 19.09.2022): ``` pip install paddledet ``` @@ -2568,31 +2568,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/1adrianb/face-alignment ``` -- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 78K / month Β· πŸ“¦ 12 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 80K / month Β· πŸ“¦ 9 Β· ⏱️ 17.08.2023): ``` pip install face-alignment ```
facenet-pytorch (πŸ₯‰28 Β· ⭐ 4.2K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT -- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 920 Β· πŸ“₯ 930K Β· πŸ“¦ 1.7K Β· πŸ“‹ 180 - 39% open Β· ⏱️ 05.04.2024): +- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 920 Β· πŸ“₯ 950K Β· πŸ“¦ 1.8K Β· πŸ“‹ 180 - 39% open Β· ⏱️ 05.04.2024): ``` git clone https://github.com/timesler/facenet-pytorch ``` -- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 58K / month Β· πŸ“¦ 30 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 59K / month Β· πŸ“¦ 30 Β· ⏱️ 29.04.2024): ``` pip install facenet-pytorch ```
vidgear (πŸ₯‰27 Β· ⭐ 3.2K Β· πŸ’€) - A High-performance cross-platform Video Processing Python.. Apache-2 -- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 240 Β· πŸ“₯ 1.2K Β· πŸ“¦ 530 Β· πŸ“‹ 280 - 2% open Β· ⏱️ 10.09.2023): +- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 240 Β· πŸ“₯ 1.3K Β· πŸ“¦ 540 Β· πŸ“‹ 280 - 2% open Β· ⏱️ 10.09.2023): ``` git clone https://github.com/abhiTronix/vidgear ``` -- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 16K / month Β· πŸ“¦ 9 Β· ⏱️ 10.09.2023): +- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 17K / month Β· πŸ“¦ 9 Β· ⏱️ 10.09.2023): ``` pip install vidgear ``` @@ -2604,7 +2604,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/CellProfiler/CellProfiler ``` -- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 650 / month Β· πŸ“¦ 2 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 640 / month Β· πŸ“¦ 2 Β· ⏱️ 14.08.2023): ``` pip install cellprofiler ``` @@ -2616,7 +2616,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/pytorchvideo ``` -- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 64K / month Β· πŸ“¦ 14 Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 84K / month Β· πŸ“¦ 23 Β· ⏱️ 20.01.2022): ``` pip install pytorchvideo ``` @@ -2633,46 +2633,34 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install norfair ```
-
ffcv (πŸ₯‰25 Β· ⭐ 2.7K Β· πŸ“ˆ) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 +
ffcv (πŸ₯‰25 Β· ⭐ 2.7K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 -- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 170 Β· πŸ“¦ 44 Β· πŸ“‹ 270 - 35% open Β· ⏱️ 21.01.2024): +- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 170 Β· πŸ“¦ 44 Β· πŸ“‹ 270 - 35% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/libffcv/ffcv ``` -- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 1.3K / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): +- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 1.7K / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): ``` pip install ffcv ```
-
pyvips (πŸ₯‰25 Β· ⭐ 580) - python binding for libvips using cffi. MIT +
pyvips (πŸ₯‰25 Β· ⭐ 590) - python binding for libvips using cffi. MIT - [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 50 Β· πŸ“¦ 710 Β· πŸ“‹ 410 - 42% open Β· ⏱️ 28.04.2024): ``` git clone https://github.com/libvips/pyvips ``` -- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 40K / month Β· πŸ“¦ 55 Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 42K / month Β· πŸ“¦ 55 Β· ⏱️ 28.04.2024): ``` pip install pyvips ``` -- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 79K Β· ⏱️ 28.04.2024): +- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 81K Β· ⏱️ 28.04.2024): ``` conda install -c conda-forge pyvips ```
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tensorflow-graphics (πŸ₯‰24 Β· ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 - -- [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 360 Β· πŸ“‹ 240 - 61% open Β· ⏱️ 13.03.2024): - - ``` - git clone https://github.com/tensorflow/graphics - ``` -- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 100K / month Β· πŸ“¦ 9 Β· ⏱️ 03.12.2021): - ``` - pip install tensorflow-graphics - ``` -
kubric (πŸ₯‰24 Β· ⭐ 2.2K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 - [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 210 Β· πŸ“¦ 3 Β· πŸ“‹ 190 - 32% open Β· ⏱️ 04.04.2024): @@ -2697,6 +2685,30 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install mmf ```
+
tensorflow-graphics (πŸ₯‰23 Β· ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 + +- [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 360 Β· πŸ“‹ 240 - 61% open Β· ⏱️ 13.03.2024): + + ``` + git clone https://github.com/tensorflow/graphics + ``` +- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 53K / month Β· πŸ“¦ 9 Β· ⏱️ 03.12.2021): + ``` + pip install tensorflow-graphics + ``` +
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vissl (πŸ₯‰22 Β· ⭐ 3.2K Β· πŸ“ˆ) - VISSL is FAIRs library of extensible, modular and scalable.. MIT + +- [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 330 Β· πŸ“¦ 39 Β· πŸ“‹ 190 - 43% open Β· ⏱️ 03.03.2024): + + ``` + git clone https://github.com/facebookresearch/vissl + ``` +- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 160 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): + ``` + pip install vissl + ``` +
PySlowFast (πŸ₯‰21 Β· ⭐ 6.3K Β· πŸ’€) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 - [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 1.2K Β· πŸ“¦ 15 Β· πŸ“‹ 680 - 57% open Β· ⏱️ 19.10.2023): @@ -2704,19 +2716,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/SlowFast ``` -- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 46 / month Β· ⏱️ 15.01.2020): +- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 40 / month Β· ⏱️ 15.01.2020): ``` pip install pyslowfast ```
pycls (πŸ₯‰21 Β· ⭐ 2.1K Β· πŸ’€) - Codebase for Image Classification Research, written in PyTorch. MIT -- [GitHub](https://github.com/facebookresearch/pycls) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 240 Β· πŸ“¦ 17 Β· πŸ“‹ 83 - 32% open Β· ⏱️ 26.08.2023): +- [GitHub](https://github.com/facebookresearch/pycls) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 240 Β· πŸ“¦ 18 Β· πŸ“‹ 83 - 32% open Β· ⏱️ 26.08.2023): ``` git clone https://github.com/facebookresearch/pycls ``` -- [PyPi](https://pypi.org/project/pycls) (πŸ“₯ 1.2K / month Β· ⏱️ 05.09.2020): +- [PyPi](https://pypi.org/project/pycls) (πŸ“₯ 1.1K / month Β· ⏱️ 05.09.2020): ``` pip install pycls ``` @@ -2729,21 +2741,9 @@ _Libraries for image & video processing, manipulation, and augmentation as well git clone https://github.com/facebookresearch/detr ```
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vissl (πŸ₯‰20 Β· ⭐ 3.2K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT - -- [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 330 Β· πŸ“‹ 190 - 43% open Β· ⏱️ 03.03.2024): - - ``` - git clone https://github.com/facebookresearch/vissl - ``` -- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 170 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): - ``` - pip install vissl - ``` -
scenic (πŸ₯‰18 Β· ⭐ 3K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 -- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 400 Β· πŸ“‹ 260 - 57% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 400 Β· πŸ“‹ 260 - 56% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/google-research/scenic @@ -2788,12 +2788,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
networkx (πŸ₯‡44 Β· ⭐ 14K) - Network Analysis in Python. BSD-3 -- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 720 Β· πŸ”€ 3.1K Β· πŸ“₯ 67 Β· πŸ“¦ 250K Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 720 Β· πŸ”€ 3.1K Β· πŸ“₯ 68 Β· πŸ“¦ 250K Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/networkx/networkx ``` -- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 53M / month Β· πŸ“¦ 16K Β· ⏱️ 06.04.2024): +- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 54M / month Β· πŸ“¦ 8.3K Β· ⏱️ 06.04.2024): ``` pip install networkx ``` @@ -2804,28 +2804,28 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
PyTorch Geometric (πŸ₯‡38 Β· ⭐ 20K) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 3.5K Β· πŸ“‹ 3.6K - 26% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 3.5K Β· πŸ“‹ 3.6K - 26% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/pyg-team/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 280K / month Β· πŸ“¦ 240 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 290K / month Β· πŸ“¦ 240 Β· ⏱️ 19.04.2024): ``` pip install torch-geometric ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 40K Β· ⏱️ 22.02.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 41K Β· ⏱️ 04.05.2024): ``` conda install -c conda-forge pytorch_geometric ```
dgl (πŸ₯‡38 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’» 290 Β· πŸ”€ 2.9K Β· πŸ“¦ 230 Β· πŸ“‹ 2.8K - 17% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3K Β· πŸ“¦ 240 Β· πŸ“‹ 2.8K - 18% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 96K / month Β· πŸ“¦ 89 Β· ⏱️ 05.03.2024): +- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 95K / month Β· πŸ“¦ 130 Β· ⏱️ 08.05.2024): ``` pip install dgl ``` @@ -2837,7 +2837,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 1.2K / month Β· ⏱️ 26.02.2024): +- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 1.3K / month Β· ⏱️ 26.02.2024): ``` pip install ampligraph ``` @@ -2849,7 +2849,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 4.6K / month Β· πŸ“¦ 20 Β· ⏱️ 30.04.2024): +- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 4.5K / month Β· πŸ“¦ 6 Β· ⏱️ 30.04.2024): ``` pip install graphistry ``` @@ -2861,7 +2861,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/danielegrattarola/spektral ``` -- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 7.4K / month Β· πŸ“¦ 7 Β· ⏱️ 21.01.2024): +- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 7.5K / month Β· πŸ“¦ 7 Β· ⏱️ 21.01.2024): ``` pip install spektral ``` @@ -2873,7 +2873,7 @@ _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“₯ 39K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 35K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): ``` pip install ogb ``` @@ -2884,60 +2884,60 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
PyKEEN (πŸ₯ˆ27 Β· ⭐ 1.5K) - A Python library for learning and evaluating knowledge graph embeddings. MIT -- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 170 Β· πŸ“₯ 180 Β· πŸ“‹ 560 - 20% open Β· ⏱️ 29.03.2024): +- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 180 Β· πŸ“₯ 180 Β· πŸ“‹ 560 - 20% open Β· ⏱️ 04.05.2024): ``` git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 4.4K / month Β· πŸ“¦ 6 Β· ⏱️ 19.02.2024): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 4.7K / month Β· πŸ“¦ 6 Β· ⏱️ 19.02.2024): ``` pip install pykeen ```
Paddle Graph Learning (πŸ₯ˆ26 Β· ⭐ 1.6K Β· πŸ’€) - 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“¦ 55 Β· πŸ“‹ 240 - 36% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 310 Β· πŸ“¦ 55 Β· πŸ“‹ 210 - 26% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/PaddlePaddle/PGL ``` -- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 1.4K / month Β· πŸ“¦ 1 Β· ⏱️ 26.09.2023): ``` pip install pgl ```
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PyTorch-BigGraph (πŸ₯ˆ25 Β· ⭐ 3.4K) - Generate embeddings from large-scale graph-structured.. BSD-3 +
pytorch_geometric_temporal (πŸ₯ˆ25 Β· ⭐ 2.5K Β· πŸ’€) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT -- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 440 Β· πŸ“₯ 180 Β· πŸ“‹ 200 - 32% open Β· ⏱️ 03.03.2024): +- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 350 Β· πŸ“‹ 190 - 15% open Β· ⏱️ 01.07.2023): ``` - git clone https://github.com/facebookresearch/PyTorch-BigGraph + git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` -- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 540K / month Β· πŸ“¦ 3 Β· ⏱️ 14.10.2019): +- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 2.1K / month Β· πŸ“¦ 3 Β· ⏱️ 04.09.2022): ``` - pip install torchbiggraph + pip install torch-geometric-temporal ```
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pytorch_geometric_temporal (πŸ₯ˆ25 Β· ⭐ 2.5K Β· πŸ’€) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT +
PyTorch-BigGraph (πŸ₯ˆ24 Β· ⭐ 3.4K) - Generate embeddings from large-scale graph-structured.. BSD-3 -- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 340 Β· πŸ“‹ 190 - 15% open Β· ⏱️ 01.07.2023): +- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 440 Β· πŸ“₯ 180 Β· πŸ“‹ 200 - 32% open Β· ⏱️ 03.03.2024): ``` - git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal + git clone https://github.com/facebookresearch/PyTorch-BigGraph ``` -- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 2.3K / month Β· πŸ“¦ 3 Β· ⏱️ 04.09.2022): +- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 600K / month Β· πŸ“¦ 2 Β· ⏱️ 14.10.2019): ``` - pip install torch-geometric-temporal + pip install torchbiggraph ```
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Node2Vec (πŸ₯‰24 Β· ⭐ 1.2K) - Implementation of the node2vec algorithm. MIT +
Node2Vec (πŸ₯ˆ24 Β· ⭐ 1.2K) - Implementation of the node2vec algorithm. MIT -- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 230 Β· πŸ“¦ 610 Β· πŸ“‹ 92 - 5% open Β· ⏱️ 11.04.2024): +- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 230 Β· πŸ“¦ 610 Β· πŸ“‹ 92 - 5% open Β· ⏱️ 05.05.2024): ``` git clone https://github.com/eliorc/node2vec ``` -- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 36K / month Β· πŸ“¦ 21 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 30K / month Β· πŸ“¦ 21 Β· ⏱️ 01.08.2022): ``` pip install node2vec ``` @@ -2948,7 +2948,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
torch-cluster (πŸ₯‰23 Β· ⭐ 760) - PyTorch Extension Library of Optimized Graph Cluster.. MIT -- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 130 Β· πŸ“‹ 160 - 18% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 130 Β· πŸ“‹ 160 - 17% open Β· ⏱️ 29.04.2024): ``` git clone https://github.com/rusty1s/pytorch_cluster @@ -2964,12 +2964,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
deepsnap (πŸ₯‰20 Β· ⭐ 530) - Python library assists deep learning on graphs. MIT -- [GitHub](https://github.com/snap-stanford/deepsnap) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 57 Β· πŸ“₯ 10 Β· πŸ“¦ 97 Β· πŸ“‹ 50 - 50% open Β· ⏱️ 11.11.2023): +- [GitHub](https://github.com/snap-stanford/deepsnap) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 57 Β· πŸ“₯ 10 Β· πŸ“¦ 98 Β· πŸ“‹ 50 - 50% open Β· ⏱️ 11.11.2023): ``` git clone https://github.com/snap-stanford/deepsnap ``` -- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 360 / month Β· πŸ“¦ 2 Β· ⏱️ 05.09.2021): +- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 350 / month Β· πŸ“¦ 2 Β· ⏱️ 05.09.2021): ``` pip install deepsnap ``` @@ -2981,7 +2981,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/gsi-upm/sematch ``` -- [PyPi](https://pypi.org/project/sematch) (πŸ“₯ 500 / month Β· πŸ“¦ 3 Β· ⏱️ 17.04.2017): +- [PyPi](https://pypi.org/project/sematch) (πŸ“₯ 480 / month Β· ⏱️ 17.04.2017): ``` pip install sematch ``` @@ -2993,7 +2993,7 @@ _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“₯ 100 / month Β· ⏱️ 19.08.2020): +- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 130 / month Β· ⏱️ 19.08.2020): ``` pip install grakn-kglib ``` @@ -3014,7 +3014,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas git clone https://github.com/thunlp/OpenNE ```
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AutoGL (πŸ₯‰13 Β· ⭐ 1.1K) - An autoML framework & toolkit for machine learning on graphs. Apache-2 +
AutoGL (πŸ₯‰14 Β· ⭐ 1.1K) - An autoML framework & toolkit for machine learning on graphs. Apache-2 - [GitHub](https://github.com/THUMNLab/AutoGL) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 120 Β· πŸ“‹ 39 - 35% open Β· ⏱️ 05.02.2024): @@ -3029,12 +3029,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
Show 17 hidden projects... - igraph (πŸ₯‡33 Β· ⭐ 1.2K) - Python interface for igraph. ❗️GPL-2.0 -- StellarGraph (πŸ₯ˆ28 Β· ⭐ 2.9K Β· πŸ’€) - StellarGraph - Machine Learning on Graphs. Apache-2 -- pygal (πŸ₯ˆ27 Β· ⭐ 2.6K Β· πŸ“‰) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 +- StellarGraph (πŸ₯ˆ29 Β· ⭐ 2.9K Β· πŸ’€) - StellarGraph - Machine Learning on Graphs. Apache-2 +- pygal (πŸ₯ˆ26 Β· ⭐ 2.6K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 - Karate Club (πŸ₯ˆ25 Β· ⭐ 2.1K) - 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· ⭐ 1.8K) - A library for graph deep learning research. ❗️GPL-3.0 - jraph (πŸ₯‰22 Β· ⭐ 1.3K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 +- DIG (πŸ₯‰21 Β· ⭐ 1.8K) - A library for graph deep learning research. ❗️GPL-3.0 - graph4nlp (πŸ₯‰21 Β· ⭐ 1.7K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 - DeepWalk (πŸ₯‰20 Β· ⭐ 2.6K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 - DeepGraph (πŸ₯‰20 Β· ⭐ 280) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 @@ -3056,36 +3056,36 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
speechbrain (πŸ₯‡39 Β· ⭐ 7.9K) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.3K Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.1K - 11% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.3K Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.1K - 11% open Β· ⏱️ 03.05.2024): ``` git clone https://github.com/speechbrain/speechbrain ``` -- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 3.6M / month Β· πŸ“¦ 31 Β· ⏱️ 26.02.2024): +- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 3.5M / month Β· πŸ“¦ 31 Β· ⏱️ 26.02.2024): ``` pip install speechbrain ```
espnet (πŸ₯‡38 Β· ⭐ 7.9K) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.1K Β· πŸ“₯ 79 Β· πŸ“¦ 320 Β· πŸ“‹ 2.4K - 12% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.1K Β· πŸ“₯ 79 Β· πŸ“¦ 320 Β· πŸ“‹ 2.4K - 12% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/espnet/espnet ``` -- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 73K / month Β· πŸ“¦ 6 Β· ⏱️ 06.02.2024): +- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 77K / month Β· πŸ“¦ 12 Β· ⏱️ 06.02.2024): ``` pip install espnet ```
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Coqui TTS (πŸ₯‡35 Β· ⭐ 29K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 +
Coqui TTS (πŸ₯‡35 Β· ⭐ 30K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 -- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.4K Β· πŸ“₯ 2.1M Β· πŸ“¦ 1.2K Β· πŸ“‹ 1K - 7% open Β· ⏱️ 10.02.2024): +- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.5K Β· πŸ“₯ 2.2M Β· πŸ“¦ 1.2K Β· πŸ“‹ 1K - 7% open Β· ⏱️ 10.02.2024): ``` git clone https://github.com/coqui-ai/TTS ``` -- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 120K / month Β· πŸ“¦ 30 Β· ⏱️ 12.12.2023): +- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 130K / month Β· πŸ“¦ 46 Β· ⏱️ 12.12.2023): ``` pip install tts ``` @@ -3096,56 +3096,56 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
SpeechRecognition (πŸ₯‡35 Β· ⭐ 8.1K) - Speech recognition module for Python, supporting several.. BSD-3 -- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 2.3K Β· πŸ“¦ 21 Β· πŸ“‹ 630 - 49% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 2.4K Β· πŸ“¦ 21 Β· πŸ“‹ 640 - 50% open Β· ⏱️ 05.05.2024): ``` git clone https://github.com/Uberi/speech_recognition ``` -- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 750K / month Β· πŸ“¦ 480 Β· ⏱️ 30.03.2024): +- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 770K / month Β· πŸ“¦ 480 Β· ⏱️ 05.05.2024): ``` pip install SpeechRecognition ``` -- [Conda](https://anaconda.org/conda-forge/speechrecognition) (πŸ“₯ 180K Β· ⏱️ 30.03.2024): +- [Conda](https://anaconda.org/conda-forge/speechrecognition) (πŸ“₯ 180K Β· ⏱️ 06.05.2024): ``` conda install -c conda-forge speechrecognition ```
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librosa (πŸ₯ˆ34 Β· ⭐ 6.7K) - Python library for audio and music analysis. ISC +
librosa (πŸ₯‡35 Β· ⭐ 6.7K) - Python library for audio and music analysis. ISC - [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 920 Β· πŸ“‹ 1.2K - 4% open Β· ⏱️ 02.05.2024): ``` git clone https://github.com/librosa/librosa ``` -- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 2.7M / month Β· πŸ“¦ 1.2K Β· ⏱️ 16.08.2023): +- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 2.7M / month Β· πŸ“¦ 1.2K Β· ⏱️ 02.05.2024): ``` pip install librosa ``` -- [Conda](https://anaconda.org/conda-forge/librosa) (πŸ“₯ 740K Β· ⏱️ 16.08.2023): +- [Conda](https://anaconda.org/conda-forge/librosa) (πŸ“₯ 740K Β· ⏱️ 02.05.2024): ``` conda install -c conda-forge librosa ```
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torchaudio (πŸ₯ˆ34 Β· ⭐ 2.4K) - Data manipulation and transformation for audio signal.. BSD-2 +
torchaudio (πŸ₯‡35 Β· ⭐ 2.4K) - Data manipulation and transformation for audio signal.. BSD-2 - [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 630 Β· πŸ“‹ 940 - 23% open Β· ⏱️ 24.03.2024): ``` git clone https://github.com/pytorch/audio ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 6.1M / month Β· πŸ“¦ 660 Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 6M / month Β· πŸ“¦ 1K Β· ⏱️ 24.04.2024): ``` pip install torchaudio ```
Magenta (πŸ₯ˆ33 Β· ⭐ 19K Β· πŸ’€) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 -- [GitHub](https://github.com/magenta/magenta) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.8K Β· πŸ“¦ 500 Β· πŸ“‹ 990 - 40% open Β· ⏱️ 11.07.2023): +- [GitHub](https://github.com/magenta/magenta) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.7K Β· πŸ“¦ 500 Β· πŸ“‹ 1K - 40% open Β· ⏱️ 11.07.2023): ``` git clone https://github.com/magenta/magenta ``` -- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 3.7K / month Β· πŸ“¦ 30 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 4K / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2022): ``` pip install magenta ``` @@ -3166,6 +3166,18 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge spleeter ```
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Porcupine (πŸ₯ˆ30 Β· ⭐ 3.5K) - On-device wake word detection powered by deep learning. Apache-2 + +- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 470 Β· πŸ“¦ 28 Β· πŸ“‹ 540 - 1% open Β· ⏱️ 18.04.2024): + + ``` + git clone https://github.com/Picovoice/Porcupine + ``` +- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 8.3K / month Β· πŸ“¦ 15 Β· ⏱️ 30.01.2024): + ``` + pip install pvporcupine + ``` +
audiomentations (πŸ₯ˆ30 Β· ⭐ 1.7K) - A Python library for audio data augmentation. Inspired by.. MIT - [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 180 Β· πŸ“¦ 480 Β· πŸ“‹ 180 - 26% open Β· ⏱️ 29.04.2024): @@ -3173,7 +3185,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/iver56/audiomentations ``` -- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 26K / month Β· πŸ“¦ 12 Β· ⏱️ 15.03.2024): +- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 23K / month Β· πŸ“¦ 12 Β· ⏱️ 15.03.2024): ``` pip install audiomentations ``` @@ -3185,39 +3197,27 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/beetbox/audioread ``` -- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 2.1M / month Β· πŸ“¦ 370 Β· ⏱️ 27.09.2023): +- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 2.1M / month Β· πŸ“¦ 120 Β· ⏱️ 27.09.2023): ``` pip install audioread ``` -- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 760K Β· ⏱️ 30.09.2023): +- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 770K Β· ⏱️ 30.09.2023): ``` conda install -c conda-forge audioread ```
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pyAudioAnalysis (πŸ₯ˆ29 Β· ⭐ 5.7K Β· πŸ’€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 +
pyAudioAnalysis (πŸ₯‰29 Β· ⭐ 5.7K Β· πŸ’€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 - [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 1.2K Β· πŸ“¦ 460 Β· πŸ“‹ 320 - 61% open Β· ⏱️ 22.10.2023): ``` git clone https://github.com/tyiannak/pyAudioAnalysis ``` -- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 10K / month Β· πŸ“¦ 20 Β· ⏱️ 07.02.2022): +- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 11K / month Β· πŸ“¦ 12 Β· ⏱️ 07.02.2022): ``` pip install pyAudioAnalysis ```
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Porcupine (πŸ₯ˆ29 Β· ⭐ 3.5K) - On-device wake word detection powered by deep learning. Apache-2 - -- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 470 Β· πŸ“¦ 28 Β· πŸ“‹ 540 - 1% open Β· ⏱️ 18.04.2024): - - ``` - git clone https://github.com/Picovoice/Porcupine - ``` -- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 7.9K / month Β· πŸ“¦ 15 Β· ⏱️ 30.01.2024): - ``` - pip install pvporcupine - ``` -
Madmom (πŸ₯‰26 Β· ⭐ 1.2K Β· πŸ’€) - Python audio and music signal processing library. BSD-3 - [GitHub](https://github.com/CPJKU/madmom) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 200 Β· πŸ“¦ 420 Β· πŸ“‹ 280 - 23% open Β· ⏱️ 10.09.2023): @@ -3225,31 +3225,31 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/CPJKU/madmom ``` -- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 1.9K / month Β· πŸ“¦ 33 Β· ⏱️ 14.11.2018): +- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 1.9K / month Β· πŸ“¦ 27 Β· ⏱️ 14.11.2018): ``` pip install madmom ```
tinytag (πŸ₯‰26 Β· ⭐ 670) - Python library for reading audio file metadata, duration of MP3, OGG,.. MIT -- [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“‹ 120 - 12% open Β· ⏱️ 16.03.2024): +- [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“‹ 120 - 12% open Β· ⏱️ 05.05.2024): ``` git clone https://github.com/devsnd/tinytag ``` -- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 24K / month Β· πŸ“¦ 100 Β· ⏱️ 26.10.2023): +- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 28K / month Β· πŸ“¦ 100 Β· ⏱️ 26.10.2023): ``` pip install tinytag ```
DDSP (πŸ₯‰25 Β· ⭐ 2.8K Β· πŸ’€) - DDSP: Differentiable Digital Signal Processing. Apache-2 -- [GitHub](https://github.com/magenta/ddsp) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 320 Β· πŸ“¦ 53 Β· πŸ“‹ 170 - 27% open Β· ⏱️ 30.06.2023): +- [GitHub](https://github.com/magenta/ddsp) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 320 Β· πŸ“¦ 54 Β· πŸ“‹ 170 - 27% open Β· ⏱️ 30.06.2023): ``` git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 2K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): +- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 2.1K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): ``` pip install ddsp ``` @@ -3260,12 +3260,12 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
python-soundfile (πŸ₯‰25 Β· ⭐ 660) - 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”€ 98 Β· πŸ“₯ 18K Β· πŸ“‹ 240 - 43% open Β· ⏱️ 05.01.2024): +- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 100 Β· πŸ“₯ 18K Β· πŸ“‹ 250 - 46% open Β· ⏱️ 05.01.2024): ``` git clone https://github.com/bastibe/python-soundfile ``` -- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 3M / month Β· πŸ“¦ 310 Β· ⏱️ 15.02.2023): +- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 3.2M / month Β· πŸ“¦ 610 Β· ⏱️ 15.02.2023): ``` pip install soundfile ``` @@ -3274,30 +3274,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c anaconda pysoundfile ```
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DeepSpeech (πŸ₯‰22 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“₯ 8K / month Β· πŸ“¦ 43 Β· ⏱️ 19.12.2020): - ``` - pip install deepspeech - ``` -- [Conda](https://anaconda.org/conda-forge/deepspeech) (πŸ“₯ 2.6K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge deepspeech - ``` -
nnAudio (πŸ₯‰21 Β· ⭐ 960) - Audio processing by using pytorch 1D convolution network. MIT -- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 90 Β· πŸ“¦ 170 Β· πŸ“‹ 62 - 29% open Β· ⏱️ 13.02.2024): +- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 90 Β· πŸ“¦ 180 Β· πŸ“‹ 62 - 29% open Β· ⏱️ 13.02.2024): ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 12K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2024): +- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 11K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2024): ``` pip install nnAudio ``` @@ -3310,9 +3294,10 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as git clone https://github.com/facebookresearch/textlesslib ```
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Show 10 hidden projects... +
Show 11 hidden projects... - Pydub (πŸ₯‡35 Β· ⭐ 8.4K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT +- DeepSpeech (πŸ₯ˆ33 Β· ⭐ 24K Β· πŸ’€) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 - Essentia (πŸ₯‰28 Β· ⭐ 2.7K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - aubio (πŸ₯‰27 Β· ⭐ 3.2K) - a library for audio and music analysis. ❗️GPL-3.0 - TTS (πŸ₯‰26 Β· ⭐ 8.8K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 @@ -3333,12 +3318,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (πŸ₯‡44 Β· ⭐ 12K) - WebGL2 powered visualization framework. MIT -- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2K Β· πŸ“¦ 7.5K Β· πŸ“‹ 3K - 9% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2K Β· πŸ“¦ 7.5K Β· πŸ“‹ 3K - 9% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 3.3M / month Β· πŸ“¦ 61 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 3.4M / month Β· πŸ“¦ 87 Β· ⏱️ 29.04.2024): ``` pip install pydeck ``` @@ -3346,19 +3331,19 @@ _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“₯ 440K / month Β· πŸ“¦ 2.2K Β· ⏱️ 26.04.2024): +- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 450K / month Β· πŸ“¦ 290 Β· ⏱️ 06.05.2024): ``` npm install deck.gl ```
folium (πŸ₯‡40 Β· ⭐ 6.7K) - Python Data. Leaflet.js Maps. MIT -- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 37K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 23.04.2024): +- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 37K Β· πŸ“‹ 1.1K - 8% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/python-visualization/folium ``` -- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 1.1M / month Β· πŸ“¦ 860 Β· ⏱️ 29.02.2024): +- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 1.2M / month Β· πŸ“¦ 630 Β· ⏱️ 29.02.2024): ``` pip install folium ``` @@ -3369,44 +3354,44 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
GeoPandas (πŸ₯‡40 Β· ⭐ 4.2K) - Python tools for geographic data. BSD-3 -- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 900 Β· πŸ“₯ 2.5K Β· πŸ“¦ 34K Β· πŸ“‹ 1.7K - 26% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 900 Β· πŸ“₯ 2.5K Β· πŸ“¦ 35K Β· πŸ“‹ 1.7K - 26% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/geopandas/geopandas ``` -- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 6.7M / month Β· πŸ“¦ 2K Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 6.4M / month Β· πŸ“¦ 2.4K Β· ⏱️ 28.04.2024): ``` pip install geopandas ``` -- [Conda](https://anaconda.org/conda-forge/geopandas) (πŸ“₯ 3.5M Β· ⏱️ 28.04.2024): +- [Conda](https://anaconda.org/conda-forge/geopandas) (πŸ“₯ 3.6M Β· ⏱️ 28.04.2024): ``` conda install -c conda-forge geopandas ```
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Shapely (πŸ₯ˆ38 Β· ⭐ 3.7K) - Manipulation and analysis of geometric objects. BSD-3 +
Shapely (πŸ₯ˆ39 Β· ⭐ 3.7K Β· πŸ“ˆ) - Manipulation and analysis of geometric objects. BSD-3 -- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 550 Β· πŸ“₯ 3.3K Β· πŸ“¦ 68K Β· πŸ“‹ 1.2K - 22% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 560 Β· πŸ“₯ 3.3K Β· πŸ“¦ 68K Β· πŸ“‹ 1.2K - 22% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/shapely/shapely ``` -- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 23M / month Β· πŸ“¦ 1.5K Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 24M / month Β· πŸ“¦ 2.5K Β· ⏱️ 16.04.2024): ``` pip install shapely ``` -- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 9.2M Β· ⏱️ 17.04.2024): +- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 9.3M Β· ⏱️ 17.04.2024): ``` conda install -c conda-forge shapely ```
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“₯ 860 Β· πŸ“¦ 11K Β· πŸ“‹ 1.8K - 7% open Β· ⏱️ 28.04.2024): +- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 520 Β· πŸ“₯ 860 Β· πŸ“¦ 11K Β· πŸ“‹ 1.8K - 8% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/rasterio/rasterio ``` -- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 2.8M / month Β· πŸ“¦ 1.1K Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 2.6M / month Β· πŸ“¦ 1.2K Β· ⏱️ 16.04.2024): ``` pip install rasterio ``` @@ -3417,28 +3402,28 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Fiona (πŸ₯ˆ37 Β· ⭐ 1.1K) - Fiona reads and writes geographic data files. BSD-3 -- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 200 Β· πŸ“¦ 20K Β· πŸ“‹ 790 - 4% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 200 Β· πŸ“¦ 20K Β· πŸ“‹ 790 - 4% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 6.5M / month Β· πŸ“¦ 110 Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 6.3M / month Β· πŸ“¦ 110 Β· ⏱️ 16.04.2024): ``` pip install fiona ``` -- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 5.4M Β· ⏱️ 08.03.2024): +- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 5.5M Β· ⏱️ 08.03.2024): ``` conda install -c conda-forge fiona ```
pyproj (πŸ₯ˆ35 Β· ⭐ 990) - Python interface to PROJ (cartographic projections and coordinate.. MIT -- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 210 Β· πŸ“¦ 29K Β· πŸ“‹ 600 - 5% open Β· ⏱️ 20.04.2024): +- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 210 Β· πŸ“¦ 30K Β· πŸ“‹ 600 - 5% open Β· ⏱️ 20.04.2024): ``` git clone https://github.com/pyproj4/pyproj ``` -- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 8.9M / month Β· πŸ“¦ 2.1K Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 8.8M / month Β· πŸ“¦ 1.5K Β· ⏱️ 21.09.2023): ``` pip install pyproj ``` @@ -3454,7 +3439,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 92K / month Β· πŸ“¦ 34 Β· ⏱️ 23.04.2024): +- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 75K / month Β· πŸ“¦ 36 Β· ⏱️ 03.05.2024): ``` pip install arcgis ``` @@ -3463,30 +3448,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra docker pull esridocker/arcgis-api-python-notebook ```
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geopy (πŸ₯ˆ33 Β· ⭐ 4.3K Β· πŸ“‰) - Geocoding library for Python. MIT - -- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 660 Β· πŸ“₯ 40 Β· πŸ“‹ 280 - 11% open Β· ⏱️ 23.11.2023): - - ``` - git clone https://github.com/geopy/geopy - ``` -- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 5.1M / month Β· πŸ“¦ 4.1K Β· ⏱️ 23.11.2023): - ``` - pip install geopy - ``` -- [Conda](https://anaconda.org/conda-forge/geopy) (πŸ“₯ 1.3M Β· ⏱️ 28.02.2024): - ``` - conda install -c conda-forge geopy - ``` -
ipyleaflet (πŸ₯ˆ33 Β· ⭐ 1.5K) - A Jupyter - Leaflet.js bridge. MIT -- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 360 Β· πŸ“¦ 8.6K Β· πŸ“‹ 620 - 43% open Β· ⏱️ 24.04.2024): +- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 360 Β· πŸ“¦ 8.7K Β· πŸ“‹ 630 - 43% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` -- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 140K / month Β· πŸ“¦ 180 Β· ⏱️ 23.04.2024): +- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 150K / month Β· πŸ“¦ 250 Β· ⏱️ 23.04.2024): ``` pip install ipyleaflet ``` @@ -3499,6 +3468,22 @@ _Libraries to load, process, analyze, and write geographic data as well as libra npm install jupyter-leaflet ```
+
geopy (πŸ₯‰32 Β· ⭐ 4.3K) - Geocoding library for Python. MIT + +- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 630 Β· πŸ“₯ 41 Β· πŸ“‹ 290 - 13% open Β· ⏱️ 23.11.2023): + + ``` + git clone https://github.com/geopy/geopy + ``` +- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 5.2M / month Β· πŸ“¦ 780 Β· ⏱️ 23.11.2023): + ``` + pip install geopy + ``` +- [Conda](https://anaconda.org/conda-forge/geopy) (πŸ“₯ 1.3M Β· ⏱️ 28.02.2024): + ``` + conda install -c conda-forge geopy + ``` +
PySAL (πŸ₯‰30 Β· ⭐ 1.3K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 - [GitHub](https://github.com/pysal/pysal) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 280 Β· πŸ“¦ 1.5K Β· πŸ“‹ 630 - 3% open Β· ⏱️ 15.03.2024): @@ -3506,7 +3491,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/pysal/pysal ``` -- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 23K / month Β· πŸ“¦ 39 Β· ⏱️ 31.01.2024): +- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 22K / month Β· πŸ“¦ 39 Β· ⏱️ 31.01.2024): ``` pip install pysal ``` @@ -3522,7 +3507,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/jazzband/geojson ``` -- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 1.9M / month Β· πŸ“¦ 620 Β· ⏱️ 05.11.2023): +- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 1.8M / month Β· πŸ“¦ 620 Β· ⏱️ 05.11.2023): ``` pip install geojson ``` @@ -3533,12 +3518,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
GeoViews (πŸ₯‰29 Β· ⭐ 570) - Simple, concise geographical visualization in Python. BSD-3 -- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 74 Β· πŸ“¦ 970 Β· πŸ“‹ 340 - 30% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 75 Β· πŸ“¦ 980 Β· πŸ“‹ 340 - 31% open Β· ⏱️ 01.05.2024): ``` git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 12K / month Β· πŸ“¦ 42 Β· ⏱️ 05.04.2024): +- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 12K / month Β· πŸ“¦ 56 Β· ⏱️ 05.04.2024): ``` pip install geoviews ``` @@ -3549,12 +3534,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
EarthPy (πŸ₯‰27 Β· ⭐ 480 Β· πŸ’€) - A package built to support working with spatial data using open.. BSD-3 -- [GitHub](https://github.com/earthlab/earthpy) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 160 Β· πŸ“¦ 310 Β· πŸ“‹ 230 - 11% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/earthlab/earthpy) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 150 Β· πŸ“¦ 320 Β· πŸ“‹ 230 - 11% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/earthlab/earthpy ``` -- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 7.6K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): +- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 7.7K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): ``` pip install earthpy ``` @@ -3563,18 +3548,18 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge earthpy ```
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pymap3d (πŸ₯‰23 Β· ⭐ 370 Β· πŸ“‰) - pure-Python (Numpy optional) 3D coordinate conversions for geospace.. BSD-2 +
pymap3d (πŸ₯‰24 Β· ⭐ 370) - 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”€ 85 Β· πŸ“¦ 390 Β· πŸ“‹ 55 - 12% open Β· ⏱️ 11.02.2024): +- [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 85 Β· πŸ“¦ 390 Β· πŸ“‹ 56 - 12% open Β· ⏱️ 11.02.2024): ``` git clone https://github.com/geospace-code/pymap3d ``` -- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 130K / month Β· πŸ“¦ 27 Β· ⏱️ 11.02.2024): +- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 130K / month Β· πŸ“¦ 42 Β· ⏱️ 11.02.2024): ``` pip install pymap3d ``` -- [Conda](https://anaconda.org/conda-forge/pymap3d) (πŸ“₯ 69K Β· ⏱️ 11.02.2024): +- [Conda](https://anaconda.org/conda-forge/pymap3d) (πŸ“₯ 70K Β· ⏱️ 11.02.2024): ``` conda install -c conda-forge pymap3d ``` @@ -3582,7 +3567,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Show 7 hidden projects... - Geocoder (πŸ₯ˆ33 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT -- Satpy (πŸ₯ˆ33 Β· ⭐ 1K) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 +- Satpy (πŸ₯‰31 Β· ⭐ 1K Β· πŸ“‰) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 - Sentinelsat (πŸ₯‰25 Β· ⭐ 960) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - Mapbox GL (πŸ₯‰24 Β· ⭐ 650 Β· πŸ’€) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT - gmaps (πŸ₯‰23 Β· ⭐ 760 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3 @@ -3599,7 +3584,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
yfinance (πŸ₯‡40 Β· ⭐ 12K) - Download market data from Yahoo! Finances API. Apache-2 -- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.2K Β· πŸ“¦ 37K Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 28.04.2024): +- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.2K Β· πŸ“¦ 38K Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 28.04.2024): ``` git clone https://github.com/ranaroussi/yfinance @@ -3613,37 +3598,37 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c ranaroussi yfinance ```
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ta (πŸ₯ˆ30 Β· ⭐ 4K) - Technical Analysis Library using Pandas and Numpy. MIT +
Qlib (πŸ₯ˆ30 Β· ⭐ 14K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT -- [GitHub](https://github.com/bukosabino/ta) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 830 Β· πŸ“¦ 3.3K Β· πŸ“‹ 230 - 54% open Β· ⏱️ 02.11.2023): +- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.5K Β· πŸ“₯ 400 Β· πŸ“¦ 21 Β· πŸ“‹ 900 - 24% open Β· ⏱️ 08.05.2024): ``` - git clone https://github.com/bukosabino/ta - ``` -- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 100K / month Β· πŸ“¦ 50 Β· ⏱️ 02.11.2023): - ``` - pip install ta + git clone https://github.com/microsoft/qlib ``` -- [Conda](https://anaconda.org/conda-forge/ta) (πŸ“₯ 25K Β· ⏱️ 02.11.2023): +- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 3K / month Β· πŸ“¦ 1 Β· ⏱️ 07.05.2024): ``` - conda install -c conda-forge ta + pip install pyqlib ```
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Qlib (πŸ₯ˆ29 Β· ⭐ 14K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT +
ta (πŸ₯ˆ30 Β· ⭐ 4.1K) - Technical Analysis Library using Pandas and Numpy. MIT -- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.4K Β· πŸ“₯ 400 Β· πŸ“¦ 21 Β· πŸ“‹ 870 - 22% open Β· ⏱️ 26.04.2024): +- [GitHub](https://github.com/bukosabino/ta) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 840 Β· πŸ“¦ 3.3K Β· πŸ“‹ 240 - 56% open Β· ⏱️ 02.11.2023): ``` - git clone https://github.com/microsoft/qlib + git clone https://github.com/bukosabino/ta ``` -- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 2.5K / month Β· πŸ“¦ 1 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 110K / month Β· πŸ“¦ 89 Β· ⏱️ 02.11.2023): ``` - pip install pyqlib + pip install ta + ``` +- [Conda](https://anaconda.org/conda-forge/ta) (πŸ“₯ 25K Β· ⏱️ 02.11.2023): + ``` + conda install -c conda-forge ta ```
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ffn (πŸ₯ˆ29 Β· ⭐ 1.8K) - ffn - a financial function library for Python. MIT +
ffn (πŸ₯ˆ30 Β· ⭐ 1.8K) - ffn - a financial function library for Python. MIT -- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 280 Β· πŸ“¦ 450 Β· πŸ“‹ 120 - 18% open Β· ⏱️ 18.03.2024): +- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 280 Β· πŸ“¦ 450 Β· πŸ“‹ 120 - 18% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/pmorissette/ffn @@ -3652,39 +3637,39 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` pip install ffn ``` -- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 7.2K Β· ⏱️ 31.12.2023): +- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 7.3K Β· ⏱️ 31.12.2023): ``` conda install -c conda-forge ffn ```
Alpha Vantage (πŸ₯ˆ28 Β· ⭐ 4.2K) - A python wrapper for Alpha Vantage API for financial data. MIT -- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 720 Β· πŸ“¦ 530 Β· πŸ“‹ 290 - 2% open Β· ⏱️ 19.03.2024): +- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 720 Β· πŸ“¦ 540 Β· πŸ“‹ 290 - 2% open Β· ⏱️ 19.03.2024): ``` git clone https://github.com/RomelTorres/alpha_vantage ``` -- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 31K / month Β· πŸ“¦ 32 Β· ⏱️ 21.12.2020): +- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 30K / month Β· πŸ“¦ 32 Β· ⏱️ 21.12.2020): ``` pip install alpha_vantage ``` -- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 6.6K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 6.7K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge alpha_vantage ```
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bt (πŸ₯ˆ28 Β· ⭐ 2K) - bt - flexible backtesting for Python. MIT +
bt (πŸ₯ˆ27 Β· ⭐ 2K) - bt - flexible backtesting for Python. MIT - [GitHub](https://github.com/pmorissette/bt) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 400 Β· πŸ“¦ 1.6K Β· πŸ“‹ 340 - 23% open Β· ⏱️ 04.04.2024): ``` git clone https://github.com/pmorissette/bt ``` -- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 6.8K / month Β· πŸ“¦ 10 Β· ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 7.2K / month Β· πŸ“¦ 10 Β· ⏱️ 20.11.2023): ``` pip install bt ``` -- [Conda](https://anaconda.org/conda-forge/bt) (πŸ“₯ 22K Β· ⏱️ 20.11.2023): +- [Conda](https://anaconda.org/conda-forge/bt) (πŸ“₯ 23K Β· ⏱️ 20.11.2023): ``` conda install -c conda-forge bt ``` @@ -3696,7 +3681,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/erdewit/ib_insync ``` -- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 32K / month Β· πŸ“¦ 28 Β· ⏱️ 21.11.2022): +- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 31K / month Β· πŸ“¦ 28 Β· ⏱️ 21.11.2022): ``` pip install ib_insync ``` @@ -3712,7 +3697,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/jealous/stockstats ``` -- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 12K / month Β· πŸ“¦ 31 Β· ⏱️ 30.07.2023): +- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 11K / month Β· πŸ“¦ 11 Β· ⏱️ 30.07.2023): ``` pip install stockstats ``` @@ -3724,7 +3709,7 @@ _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“₯ 210 / month Β· ⏱️ 01.01.2024): ``` pip install finmarketpy ``` @@ -3736,7 +3721,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/fmilthaler/FinQuant ``` -- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 540 / month Β· πŸ“¦ 1 Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 440 / month Β· πŸ“¦ 1 Β· ⏱️ 04.09.2023): ``` pip install FinQuant ``` @@ -3748,7 +3733,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/google/tf-quant-finance ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 720 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): +- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 790 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): ``` pip install tf-quant-finance ``` @@ -3757,15 +3742,15 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te - zipline (πŸ₯‡32 Β· ⭐ 17K Β· πŸ’€) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 - pyfolio (πŸ₯‡31 Β· ⭐ 5.4K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 -- arch (πŸ₯ˆ30 Β· ⭐ 1.3K) - ARCH models in Python. ❗Unlicensed +- arch (πŸ₯‡31 Β· ⭐ 1.3K) - ARCH models in Python. ❗Unlicensed - backtrader (πŸ₯ˆ29 Β· ⭐ 13K Β· πŸ’€) - Python Backtesting library for trading strategies. ❗️GPL-3.0 -- empyrical (πŸ₯‰27 Β· ⭐ 1.2K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 +- empyrical (πŸ₯ˆ27 Β· ⭐ 1.2K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 - Alphalens (πŸ₯‰26 Β· ⭐ 3.1K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 - Enigma Catalyst (πŸ₯‰26 Β· ⭐ 2.5K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - TensorTrade (πŸ₯‰25 Β· ⭐ 4.4K Β· πŸ’€) - An open source reinforcement learning framework for.. Apache-2 -- FinTA (πŸ₯‰24 Β· ⭐ 2K Β· πŸ’€) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 +- FinTA (πŸ₯‰24 Β· ⭐ 2.1K Β· πŸ’€) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 - PyAlgoTrade (πŸ₯‰23 Β· ⭐ 4.3K Β· πŸ’€) - Python Algorithmic Trading Library. Apache-2 -- Backtesting.py (πŸ₯‰22 Β· ⭐ 4.8K Β· πŸ’€) - Backtest trading strategies in Python. ❗️AGPL-3.0 +- Backtesting.py (πŸ₯‰22 Β· ⭐ 4.9K Β· πŸ’€) - Backtest trading strategies in Python. ❗️AGPL-3.0 - Crypto Signals (πŸ₯‰22 Β· ⭐ 4.7K Β· πŸ’€) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT - 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 @@ -3780,28 +3765,28 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
sktime (πŸ₯‡39 Β· ⭐ 7.4K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 1.3K Β· πŸ“₯ 87 Β· πŸ“¦ 2.6K Β· πŸ“‹ 2.3K - 35% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 1.3K Β· πŸ“₯ 87 Β· πŸ“¦ 2.6K Β· πŸ“‹ 2.3K - 35% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/alan-turing-institute/sktime ``` -- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 920K / month Β· πŸ“¦ 720 Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 930K / month Β· πŸ“¦ 110 Β· ⏱️ 01.05.2024): ``` pip install sktime ``` -- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 950K Β· ⏱️ 28.04.2024): +- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 950K Β· ⏱️ 04.05.2024): ``` conda install -c conda-forge sktime-all-extras ```
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Prophet (πŸ₯‡35 Β· ⭐ 18K Β· πŸ’€) - Tool for producing high quality forecasts for time series data that.. MIT +
Prophet (πŸ₯‡34 Β· ⭐ 18K Β· πŸ’€) - Tool for producing high quality forecasts for time series data that.. MIT - [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.5K Β· πŸ“₯ 2.5K Β· πŸ“¦ 21 Β· πŸ“‹ 2.1K - 18% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/facebook/prophet ``` -- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 820K / month Β· πŸ“¦ 480 Β· ⏱️ 05.09.2020): +- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 820K / month Β· πŸ“¦ 89 Β· ⏱️ 05.09.2020): ``` pip install fbprophet ``` @@ -3812,43 +3797,43 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
StatsForecast (πŸ₯‡34 Β· ⭐ 3.6K) - Lightning fast forecasting with statistical and econometric.. Apache-2 -- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 240 Β· πŸ“¦ 850 Β· πŸ“‹ 310 - 29% open Β· ⏱️ 24.04.2024): +- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 240 Β· πŸ“¦ 860 Β· πŸ“‹ 310 - 29% open Β· ⏱️ 02.05.2024): ``` git clone https://github.com/Nixtla/statsforecast ``` -- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 580K / month Β· πŸ“¦ 30 Β· ⏱️ 08.04.2024): +- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 560K / month Β· πŸ“¦ 30 Β· ⏱️ 08.04.2024): ``` pip install statsforecast ``` -- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 65K Β· ⏱️ 08.04.2024): +- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 66K Β· ⏱️ 08.04.2024): ``` conda install -c conda-forge statsforecast ```
Darts (πŸ₯ˆ33 Β· ⭐ 7.3K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 790 Β· πŸ“¦ 600 Β· πŸ“‹ 1.4K - 17% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 800 Β· πŸ“¦ 600 Β· πŸ“‹ 1.4K - 18% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/unit8co/darts ``` -- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 23K / month Β· πŸ“¦ 5 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 23K / month Β· πŸ“¦ 6 Β· ⏱️ 17.04.2024): ``` pip install u8darts ``` -- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 42K Β· ⏱️ 18.04.2024): +- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 43K Β· ⏱️ 18.04.2024): ``` conda install -c conda-forge u8darts-all ``` -- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 560 Β· ⏱️ 17.04.2024): +- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 570 Β· ⏱️ 17.04.2024): ``` docker pull unit8/darts ```
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NeuralProphet (πŸ₯ˆ32 Β· ⭐ 3.6K) - NeuralProphet: A simple forecasting package. MIT +
NeuralProphet (πŸ₯ˆ32 Β· ⭐ 3.7K) - NeuralProphet: A simple forecasting package. MIT -- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 460 Β· πŸ“¦ 430 Β· πŸ“‹ 520 - 8% open Β· ⏱️ 15.03.2024): +- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 460 Β· πŸ“¦ 440 Β· πŸ“‹ 520 - 8% open Β· ⏱️ 15.03.2024): ``` git clone https://github.com/ourownstory/neural_prophet @@ -3858,14 +3843,30 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l pip install neuralprophet ```
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tsfresh (πŸ₯ˆ31 Β· ⭐ 8.1K) - Automatic extraction of relevant features from time series:. MIT + +- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 1.2K Β· πŸ“¦ 21 Β· πŸ“‹ 540 - 12% open Β· ⏱️ 11.03.2024): + + ``` + git clone https://github.com/blue-yonder/tsfresh + ``` +- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 250K / month Β· πŸ“¦ 73 Β· ⏱️ 28.01.2024): + ``` + pip install tsfresh + ``` +- [Conda](https://anaconda.org/conda-forge/tsfresh) (πŸ“₯ 1.3M Β· ⏱️ 28.01.2024): + ``` + conda install -c conda-forge tsfresh + ``` +
tslearn (πŸ₯ˆ31 Β· ⭐ 2.8K) - 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“¦ 1.2K Β· πŸ“‹ 320 - 39% open Β· ⏱️ 20.03.2024): +- [GitHub](https://github.com/tslearn-team/tslearn) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 320 Β· πŸ“¦ 1.3K Β· πŸ“‹ 320 - 39% open Β· ⏱️ 20.03.2024): ``` git clone https://github.com/tslearn-team/tslearn ``` -- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 350K / month Β· πŸ“¦ 49 Β· ⏱️ 12.12.2023): +- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 340K / month Β· πŸ“¦ 49 Β· ⏱️ 12.12.2023): ``` pip install tslearn ``` @@ -3874,30 +3875,30 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge tslearn ```
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NeuralForecast (πŸ₯ˆ31 Β· ⭐ 2.4K) - Scalable and user friendly neural forecasting algorithms. Apache-2 +
NeuralForecast (πŸ₯ˆ31 Β· ⭐ 2.5K) - Scalable and user friendly neural forecasting algorithms. Apache-2 -- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 280 Β· πŸ“¦ 140 Β· πŸ“‹ 460 - 22% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 290 Β· πŸ“¦ 140 Β· πŸ“‹ 460 - 21% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/Nixtla/neuralforecast ``` -- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 29K / month Β· πŸ“¦ 7 Β· ⏱️ 11.04.2024): +- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 31K / month Β· πŸ“¦ 16 Β· ⏱️ 07.05.2024): ``` pip install neuralforecast ``` -- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 14K Β· ⏱️ 11.04.2024): +- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 15K Β· ⏱️ 08.05.2024): ``` conda install -c conda-forge neuralforecast ```
pmdarima (πŸ₯ˆ31 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’» 23 Β· πŸ”€ 230 Β· πŸ“¦ 8K Β· πŸ“‹ 320 - 16% open Β· ⏱️ 23.02.2024): +- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 230 Β· πŸ“¦ 8K Β· πŸ“‹ 330 - 17% open Β· ⏱️ 23.02.2024): ``` git clone https://github.com/alkaline-ml/pmdarima ``` -- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 2.8M / month Β· πŸ“¦ 89 Β· ⏱️ 23.10.2023): +- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 2.7M / month Β· πŸ“¦ 140 Β· ⏱️ 23.10.2023): ``` pip install pmdarima ``` @@ -3906,30 +3907,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge pmdarima ```
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tsfresh (πŸ₯ˆ30 Β· ⭐ 8.1K) - Automatic extraction of relevant features from time series:. MIT - -- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 1.2K Β· πŸ“¦ 21 Β· πŸ“‹ 530 - 11% open Β· ⏱️ 11.03.2024): - - ``` - git clone https://github.com/blue-yonder/tsfresh - ``` -- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 240K / month Β· πŸ“¦ 80 Β· ⏱️ 28.01.2024): - ``` - pip install tsfresh - ``` -- [Conda](https://anaconda.org/conda-forge/tsfresh) (πŸ“₯ 1.3M Β· ⏱️ 28.01.2024): - ``` - conda install -c conda-forge tsfresh - ``` -
GluonTS (πŸ₯ˆ30 Β· ⭐ 4.3K) - Probabilistic time series modeling in Python. Apache-2 -- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 760 Β· πŸ“‹ 940 - 33% open Β· ⏱️ 24.04.2024): +- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 730 Β· πŸ“‹ 940 - 33% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 320K / month Β· πŸ“¦ 16 Β· ⏱️ 02.02.2024): +- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 300K / month Β· πŸ“¦ 27 Β· ⏱️ 02.02.2024): ``` pip install gluonts ``` @@ -3940,7 +3925,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
STUMPY (πŸ₯ˆ30 Β· ⭐ 3K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 -- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 280 Β· πŸ“¦ 730 Β· πŸ“‹ 470 - 11% open Β· ⏱️ 01.04.2024): +- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 280 Β· πŸ“¦ 740 Β· πŸ“‹ 470 - 10% open Β· ⏱️ 01.04.2024): ``` git clone https://github.com/TDAmeritrade/stumpy @@ -3949,19 +3934,19 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` pip install stumpy ``` -- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 970K Β· ⏱️ 21.08.2023): +- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 980K Β· ⏱️ 21.08.2023): ``` conda install -c conda-forge stumpy ```
pytorch-forecasting (πŸ₯ˆ29 Β· ⭐ 3.6K) - Time series forecasting with PyTorch. MIT -- [GitHub](https://github.com/jdb78/pytorch-forecasting) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 570 Β· πŸ“‹ 760 - 62% open Β· ⏱️ 15.03.2024): +- [GitHub](https://github.com/jdb78/pytorch-forecasting) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 580 Β· πŸ“‹ 760 - 62% open Β· ⏱️ 15.03.2024): ``` git clone https://github.com/jdb78/pytorch-forecasting ``` -- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 50K / month Β· πŸ“¦ 10 Β· ⏱️ 26.07.2020): +- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 50K / month Β· πŸ“¦ 16 Β· ⏱️ 26.07.2020): ``` pip install pytorch-forecasting ``` @@ -3970,30 +3955,30 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge pytorch-forecasting ```
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skforecast (πŸ₯‰27 Β· ⭐ 900 Β· πŸ“ˆ) - Time series forecasting with scikit-learn models. BSD-3 +
skforecast (πŸ₯‰28 Β· ⭐ 910) - Time series forecasting with scikit-learn models. BSD-3 -- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 110 Β· πŸ“¦ 260 Β· πŸ“‹ 130 - 27% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 110 Β· πŸ“¦ 260 Β· πŸ“‹ 140 - 25% open Β· ⏱️ 05.05.2024): ``` git clone https://github.com/JoaquinAmatRodrigo/skforecast ``` -- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 48K / month Β· πŸ“¦ 8 Β· ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 48K / month Β· πŸ“¦ 11 Β· ⏱️ 05.05.2024): ``` pip install skforecast ```
uber/orbit (πŸ₯‰26 Β· ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 53 Β· πŸ“‹ 400 - 12% open Β· ⏱️ 31.03.2024): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 54 Β· πŸ“‹ 400 - 12% open Β· ⏱️ 31.03.2024): ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 23K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 22K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): ``` pip install orbit-ml ``` -- [Conda](https://anaconda.org/conda-forge/orbit-ml) (πŸ“₯ 6.3K Β· ⏱️ 01.04.2024): +- [Conda](https://anaconda.org/conda-forge/orbit-ml) (πŸ“₯ 6.5K Β· ⏱️ 01.04.2024): ``` conda install -c conda-forge orbit-ml ``` @@ -4021,14 +4006,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/fraunhoferportugal/tsfel ``` -- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 18K / month Β· πŸ“¦ 3 Β· ⏱️ 27.03.2024): +- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 19K / month Β· πŸ“¦ 3 Β· ⏱️ 27.03.2024): ``` pip install tsfel ```
greykite (πŸ₯‰22 Β· ⭐ 1.8K) - A flexible, intuitive and fast forecasting library. BSD-2 -- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 100 Β· πŸ“₯ 23 Β· πŸ“¦ 30 Β· πŸ“‹ 110 - 26% open Β· ⏱️ 16.01.2024): +- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 100 Β· πŸ“₯ 26 Β· πŸ“¦ 30 Β· πŸ“‹ 110 - 26% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/linkedin/greykite @@ -4045,7 +4030,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/linkedin/luminol ``` -- [PyPi](https://pypi.org/project/luminol) (πŸ“₯ 9K / month Β· πŸ“¦ 15 Β· ⏱️ 11.12.2017): +- [PyPi](https://pypi.org/project/luminol) (πŸ“₯ 9.3K / month Β· πŸ“¦ 2 Β· ⏱️ 11.12.2017): ``` pip install luminol ``` @@ -4057,7 +4042,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/predict-idlab/tsflex ``` -- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 04.04.2024): +- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 700 / month Β· πŸ“¦ 1 Β· ⏱️ 04.04.2024): ``` pip install tsflex ``` @@ -4068,12 +4053,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Auto TS (πŸ₯‰19 Β· ⭐ 670) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 -- [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 110 Β· πŸ“‹ 87 - 2% open Β· ⏱️ 28.01.2024): +- [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 110 Β· πŸ“‹ 87 - 1% open Β· ⏱️ 05.05.2024): ``` git clone https://github.com/AutoViML/Auto_TS ``` -- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 6.1K / month Β· ⏱️ 28.01.2024): +- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 7K / month Β· ⏱️ 05.05.2024): ``` pip install auto-ts ``` @@ -4112,12 +4097,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (πŸ₯‡39 Β· ⭐ 2.6K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 1.3K Β· πŸ“¦ 3.8K Β· πŸ“‹ 4.8K - 10% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 1.3K Β· πŸ“¦ 3.8K Β· πŸ“‹ 4.8K - 10% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/mne-tools/mne-python ``` -- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 110K / month Β· πŸ“¦ 340 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 120K / month Β· πŸ“¦ 340 Β· ⏱️ 19.04.2024): ``` pip install mne ``` @@ -4128,12 +4113,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Nilearn (πŸ₯‡37 Β· ⭐ 1.1K) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 550 Β· πŸ“₯ 160 Β· πŸ“¦ 3.1K Β· πŸ“‹ 2.1K - 14% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 550 Β· πŸ“₯ 160 Β· πŸ“¦ 3.1K Β· πŸ“‹ 2.1K - 14% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 67K / month Β· πŸ“¦ 310 Β· ⏱️ 09.04.2024): +- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 69K / month Β· πŸ“¦ 270 Β· ⏱️ 09.04.2024): ``` pip install nilearn ``` @@ -4144,12 +4129,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
NiBabel (πŸ₯ˆ36 Β· ⭐ 620) - Python package to access a cacophony of neuro-imaging file formats. MIT -- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“¦ 19K Β· πŸ“‹ 530 - 24% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“¦ 19K Β· πŸ“‹ 530 - 24% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/nipy/nibabel ``` -- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 490K / month Β· πŸ“¦ 1.2K Β· ⏱️ 27.02.2024): +- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 500K / month Β· πŸ“¦ 1K Β· ⏱️ 27.02.2024): ``` pip install nibabel ``` @@ -4160,12 +4145,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MONAI (πŸ₯ˆ35 Β· ⭐ 5.4K) - AI Toolkit for Healthcare Imaging. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 970 Β· πŸ“¦ 2.2K Β· πŸ“‹ 3K - 10% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 970 Β· πŸ“¦ 2.2K Β· πŸ“‹ 3K - 11% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/Project-MONAI/MONAI ``` -- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 160K / month Β· πŸ“¦ 56 Β· ⏱️ 26.04.2024): +- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 160K / month Β· πŸ“¦ 89 Β· ⏱️ 26.04.2024): ``` pip install monai ``` @@ -4176,28 +4161,28 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
NIPYPE (πŸ₯ˆ35 Β· ⭐ 730) - Workflows and interfaces for neuroimaging packages. Apache-2 -- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 510 Β· πŸ“¦ 4.3K Β· πŸ“‹ 1.4K - 29% open Β· ⏱️ 22.03.2024): +- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 510 Β· πŸ“¦ 4.3K Β· πŸ“‹ 1.4K - 29% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/nipy/nipype ``` -- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 150K / month Β· πŸ“¦ 130 Β· ⏱️ 06.04.2023): +- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 160K / month Β· πŸ“¦ 130 Β· ⏱️ 06.04.2023): ``` pip install nipype ``` -- [Conda](https://anaconda.org/conda-forge/nipype) (πŸ“₯ 600K Β· ⏱️ 22.09.2023): +- [Conda](https://anaconda.org/conda-forge/nipype) (πŸ“₯ 610K Β· ⏱️ 22.09.2023): ``` conda install -c conda-forge nipype ```
Lifelines (πŸ₯ˆ32 Β· ⭐ 2.3K) - Survival analysis in Python. MIT -- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 580 Β· πŸ“¦ 2.4K Β· πŸ“‹ 950 - 25% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 580 Β· πŸ“¦ 2.5K Β· πŸ“‹ 950 - 25% open Β· ⏱️ 07.03.2024): ``` git clone https://github.com/CamDavidsonPilon/lifelines ``` -- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 510K / month Β· πŸ“¦ 140 Β· ⏱️ 03.01.2024): +- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 510K / month Β· πŸ“¦ 130 Β· ⏱️ 03.01.2024): ``` pip install lifelines ``` @@ -4208,19 +4193,19 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Hail (πŸ₯ˆ32 Β· ⭐ 940) - Cloud-native genomic dataframes and batch computing. MIT -- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 240 Β· πŸ“¦ 130 Β· πŸ“‹ 2.4K - 9% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 240 Β· πŸ“¦ 130 Β· πŸ“‹ 2.4K - 9% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 45K / month Β· πŸ“¦ 20 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 42K / month Β· πŸ“¦ 20 Β· ⏱️ 10.04.2024): ``` pip install hail ```
DeepVariant (πŸ₯‰26 Β· ⭐ 3.1K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 -- [GitHub](https://github.com/google/deepvariant) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 680 Β· πŸ“₯ 4.7K Β· πŸ“‹ 750 - 0% open Β· ⏱️ 18.03.2024): +- [GitHub](https://github.com/google/deepvariant) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 690 Β· πŸ“₯ 4.7K Β· πŸ“‹ 760 - 1% open Β· ⏱️ 18.03.2024): ``` git clone https://github.com/google/deepvariant @@ -4237,7 +4222,7 @@ _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“₯ 130 / month Β· πŸ“¦ 1 Β· ⏱️ 15.10.2020): +- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 140 / month Β· ⏱️ 15.10.2020): ``` pip install brainiak ``` @@ -4249,11 +4234,11 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 10 hidden projects... - DIPY (πŸ₯ˆ33 Β· ⭐ 670) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains.. ❗Unlicensed -- MedPy (πŸ₯‰25 Β· ⭐ 540) - Medical image processing in Python. ❗️GPL-3.0 -- NiftyNet (πŸ₯‰24 Β· ⭐ 1.4K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 -- NIPY (πŸ₯‰24 Β· ⭐ 370) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed +- MedPy (πŸ₯‰24 Β· ⭐ 550) - Medical image processing in Python. ❗️GPL-3.0 +- NiftyNet (πŸ₯‰23 Β· ⭐ 1.4K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 +- NIPY (πŸ₯‰23 Β· ⭐ 370) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed - Glow (πŸ₯‰23 Β· ⭐ 260) - An open-source toolkit for large-scale genomic analysis. Apache-2 -- DLTK (πŸ₯‰20 Β· ⭐ 1.4K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 +- DLTK (πŸ₯‰21 Β· ⭐ 1.4K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 - MedicalTorch (πŸ₯‰16 Β· ⭐ 830 Β· πŸ’€) - A medical imaging framework for Pytorch. Apache-2 - Medical Detection Toolkit (πŸ₯‰15 Β· ⭐ 1.3K Β· πŸ’€) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 - DeepNeuro (πŸ₯‰13 Β· ⭐ 120 Β· πŸ’€) - A deep learning python package for neuroimaging data. Made by:. MIT @@ -4281,12 +4266,12 @@ _Libraries for processing tabular and structured data._
miceforest (πŸ₯ˆ22 Β· ⭐ 310) - Multiple Imputation with LightGBM in Python. MIT -- [GitHub](https://github.com/AnotherSamWilson/miceforest) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 27 Β· πŸ“¦ 130 Β· πŸ“‹ 81 - 25% open Β· ⏱️ 27.04.2024): +- [GitHub](https://github.com/AnotherSamWilson/miceforest) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 27 Β· πŸ“¦ 130 Β· πŸ“‹ 82 - 26% open Β· ⏱️ 27.04.2024): ``` git clone https://github.com/AnotherSamWilson/miceforest ``` -- [PyPi](https://pypi.org/project/miceforest) (πŸ“₯ 26K / month Β· πŸ“¦ 5 Β· ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/miceforest) (πŸ“₯ 32K / month Β· πŸ“¦ 5 Β· ⏱️ 16.11.2023): ``` pip install miceforest ``` @@ -4302,14 +4287,14 @@ _Libraries for processing tabular and structured data._ ``` git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 430 / month Β· ⏱️ 09.01.2024): +- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 280 / month Β· ⏱️ 09.01.2024): ``` pip install carefree-learn ```
Show 2 hidden projects... -- upgini (πŸ₯‰20 Β· ⭐ 290) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 +- upgini (πŸ₯‰21 Β· ⭐ 290) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 - deltapy (πŸ₯‰12 Β· ⭐ 530 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT

@@ -4322,7 +4307,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
PaddleOCR (πŸ₯‡38 Β· ⭐ 39K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 7.2K Β· πŸ“¦ 2.5K Β· πŸ“‹ 8.9K - 13% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 7.2K Β· πŸ“¦ 2.6K Β· πŸ“‹ 9K - 13% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/PaddlePaddle/PaddleOCR @@ -4334,24 +4319,24 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
EasyOCR (πŸ₯‡35 Β· ⭐ 22K Β· πŸ’€) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2 -- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.9K Β· πŸ“₯ 11M Β· πŸ“¦ 6.1K Β· πŸ“‹ 960 - 39% open Β· ⏱️ 04.09.2023): +- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.9K Β· πŸ“₯ 11M Β· πŸ“¦ 6.2K Β· πŸ“‹ 970 - 39% open Β· ⏱️ 04.09.2023): ``` git clone https://github.com/JaidedAI/EasyOCR ``` -- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 230K / month Β· πŸ“¦ 120 Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 240K / month Β· πŸ“¦ 170 Β· ⏱️ 04.09.2023): ``` pip install easyocr ```
OCRmyPDF (πŸ₯ˆ33 Β· ⭐ 12K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 890 Β· πŸ“₯ 3.2K Β· πŸ“¦ 800 Β· πŸ“‹ 1.1K - 9% open Β· ⏱️ 24.04.2024): +- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 890 Β· πŸ“₯ 3.2K Β· πŸ“¦ 810 Β· πŸ“‹ 1.1K - 9% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/ocrmypdf/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 100K / month Β· πŸ“¦ 21 Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 100K / month Β· πŸ“¦ 23 Β· ⏱️ 16.04.2024): ``` pip install ocrmypdf ``` @@ -4362,12 +4347,12 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
tesserocr (πŸ₯ˆ32 Β· ⭐ 1.9K) - A Python wrapper for the tesseract-ocr API. MIT -- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 250 Β· πŸ“₯ 230 Β· πŸ“¦ 980 Β· πŸ“‹ 280 - 18% open Β· ⏱️ 27.04.2024): +- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 250 Β· πŸ“₯ 240 Β· πŸ“¦ 980 Β· πŸ“‹ 280 - 18% open Β· ⏱️ 27.04.2024): ``` git clone https://github.com/sirfz/tesserocr ``` -- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 65K / month Β· πŸ“¦ 170 Β· ⏱️ 27.04.2024): +- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 66K / month Β· πŸ“¦ 34 Β· ⏱️ 27.04.2024): ``` pip install tesserocr ``` @@ -4378,7 +4363,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
Tesseract (πŸ₯ˆ31 Β· ⭐ 5.5K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 -- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 680 Β· πŸ“‹ 360 - 3% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 700 Β· πŸ“‹ 360 - 4% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/madmaze/pytesseract @@ -4399,19 +4384,19 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/open-mmlab/mmocr ``` -- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 9.2K / month Β· πŸ“¦ 3 Β· ⏱️ 05.05.2022): +- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 9.3K / month Β· πŸ“¦ 3 Β· ⏱️ 05.05.2022): ``` pip install mmocr ```
keras-ocr (πŸ₯‰24 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”€ 330 Β· πŸ“₯ 1.2M Β· πŸ“¦ 460 Β· ⏱️ 06.11.2023): +- [GitHub](https://github.com/faustomorales/keras-ocr) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 330 Β· πŸ“₯ 1.2M Β· πŸ“¦ 470 Β· ⏱️ 06.11.2023): ``` git clone https://github.com/faustomorales/keras-ocr ``` -- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 30K / month Β· πŸ“¦ 8 Β· ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 31K / month Β· πŸ“¦ 8 Β· ⏱️ 06.11.2023): ``` pip install keras-ocr ``` @@ -4427,7 +4412,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/emedvedev/attention-ocr ``` -- [PyPi](https://pypi.org/project/aocr) (πŸ“₯ 310 / month Β· ⏱️ 19.04.2019): +- [PyPi](https://pypi.org/project/aocr) (πŸ“₯ 320 / month Β· ⏱️ 19.04.2019): ``` pip install aocr ``` @@ -4439,7 +4424,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/Calamari-OCR/calamari ``` -- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 2K / month Β· πŸ“¦ 5 Β· ⏱️ 18.08.2023): +- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 2.2K / month Β· πŸ“¦ 5 Β· ⏱️ 18.08.2023): ``` pip install calamari_ocr ``` @@ -4500,12 +4485,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (πŸ₯‡45 Β· ⭐ 31K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1K Β· πŸ”€ 5.3K Β· πŸ“₯ 210 Β· πŸ“¦ 15K Β· πŸ“‹ 18K - 20% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1K Β· πŸ”€ 5.3K Β· πŸ“₯ 210 Β· πŸ“¦ 15K Β· πŸ“‹ 18K - 20% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 4.4M / month Β· πŸ“¦ 670 Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 4.6M / month Β· πŸ“¦ 680 Β· ⏱️ 08.05.2024): ``` pip install ray ``` @@ -4516,28 +4501,28 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask (πŸ₯‡44 Β· ⭐ 12K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 600 Β· πŸ”€ 1.7K Β· πŸ“¦ 60K Β· πŸ“‹ 5.2K - 20% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 600 Β· πŸ”€ 1.7K Β· πŸ“¦ 60K Β· πŸ“‹ 5.2K - 20% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 7.8M / month Β· πŸ“¦ 3.2K Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 8.2M / month Β· πŸ“¦ 2.1K Β· ⏱️ 03.05.2024): ``` pip install dask ``` -- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 11M Β· ⏱️ 20.04.2024): +- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 11M Β· ⏱️ 04.05.2024): ``` conda install -c conda-forge dask ```
DeepSpeed (πŸ₯‡41 Β· ⭐ 33K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 -- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 3.8K Β· πŸ“¦ 6.8K Β· πŸ“‹ 2.6K - 39% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 3.9K Β· πŸ“¦ 6.9K Β· πŸ“‹ 2.7K - 39% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 510K / month Β· πŸ“¦ 110 Β· ⏱️ 23.04.2024): +- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 530K / month Β· πŸ“¦ 160 Β· ⏱️ 23.04.2024): ``` pip install deepspeed ``` @@ -4548,63 +4533,63 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask.distributed (πŸ₯‡40 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“¦ 34K Β· πŸ“‹ 3.8K - 39% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 710 Β· πŸ“¦ 34K Β· πŸ“‹ 3.8K - 39% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 3.8M / month Β· πŸ“¦ 1.4K Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 3.9M / month Β· πŸ“¦ 740 Β· ⏱️ 03.05.2024): ``` pip install distributed ``` -- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 13M Β· ⏱️ 19.04.2024): +- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 14M Β· ⏱️ 03.05.2024): ``` conda install -c conda-forge distributed ```
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metrics (πŸ₯ˆ36 Β· ⭐ 1.9K) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2 +
metrics (πŸ₯ˆ36 Β· ⭐ 2K) - Torchmetrics - Machine learning metrics for distributed, scalable.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 380 Β· πŸ“₯ 5.1K Β· πŸ“¦ 24K Β· πŸ“‹ 810 - 8% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 380 Β· πŸ“₯ 5.1K Β· πŸ“¦ 24K Β· πŸ“‹ 810 - 8% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/Lightning-AI/metrics ``` -- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 4K / month Β· πŸ“¦ 2 Β· ⏱️ 28.04.2018): +- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 4.4K / month Β· πŸ“¦ 2 Β· ⏱️ 28.04.2018): ``` pip install metrics ``` -- [Conda](https://anaconda.org/conda-forge/torchmetrics) (πŸ“₯ 1.3M Β· ⏱️ 18.03.2024): +- [Conda](https://anaconda.org/conda-forge/torchmetrics) (πŸ“₯ 1.3M Β· ⏱️ 06.05.2024): ``` conda install -c conda-forge torchmetrics ```
horovod (πŸ₯ˆ35 Β· ⭐ 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2 -- [GitHub](https://github.com/horovod/horovod) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.1K Β· πŸ“‹ 2.2K - 16% open Β· ⏱️ 25.03.2024): +- [GitHub](https://github.com/horovod/horovod) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.1K Β· πŸ“‹ 2.2K - 17% open Β· ⏱️ 25.03.2024): ``` git clone https://github.com/horovod/horovod ``` -- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 61K / month Β· πŸ“¦ 37 Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 67K / month Β· πŸ“¦ 29 Β· ⏱️ 12.06.2023): ``` pip install horovod ```
H2O-3 (πŸ₯ˆ35 Β· ⭐ 6.7K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 -- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2K Β· πŸ“¦ 21 Β· πŸ“‹ 9.3K - 29% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2K Β· πŸ“¦ 21 Β· πŸ“‹ 9.3K - 29% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/h2oai/h2o-3 ``` -- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 330K / month Β· πŸ“¦ 85 Β· ⏱️ 14.03.2024): +- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 310K / month Β· πŸ“¦ 44 Β· ⏱️ 14.03.2024): ``` pip install h2o ```
ColossalAI (πŸ₯ˆ33 Β· ⭐ 38K) - Making large AI models cheaper, faster and more accessible. Apache-2 -- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 4.2K Β· πŸ“¦ 370 Β· πŸ“‹ 1.6K - 25% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 4.2K Β· πŸ“¦ 370 Β· πŸ“‹ 1.6K - 25% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/hpcaitech/colossalai @@ -4612,12 +4597,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
BigDL (πŸ₯ˆ33 Β· ⭐ 6K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM,.. Apache-2 -- [GitHub](https://github.com/intel-analytics/ipex-llm) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 1.2K Β· πŸ“₯ 450 Β· πŸ“¦ 51 Β· πŸ“‹ 2.2K - 35% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/intel-analytics/ipex-llm) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 1.2K Β· πŸ“₯ 460 Β· πŸ“¦ 51 Β· πŸ“‹ 2.2K - 35% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 6.2K / month Β· πŸ“¦ 2 Β· ⏱️ 24.03.2024): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 6.6K / month Β· πŸ“¦ 2 Β· ⏱️ 24.03.2024): ``` pip install bigdl ``` @@ -4632,12 +4617,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
FairScale (πŸ₯ˆ32 Β· ⭐ 2.9K) - PyTorch extensions for high performance and large scale training. BSD-3 -- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 260 Β· πŸ“¦ 4.9K Β· πŸ“‹ 380 - 25% open Β· ⏱️ 12.04.2024): +- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 260 Β· πŸ“¦ 5K Β· πŸ“‹ 380 - 25% open Β· ⏱️ 03.05.2024): ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 500K / month Β· πŸ“¦ 66 Β· ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 510K / month Β· πŸ“¦ 66 Β· ⏱️ 11.12.2022): ``` pip install fairscale ``` @@ -4653,41 +4638,41 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/dask/dask-ml ``` -- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 320K / month Β· πŸ“¦ 75 Β· ⏱️ 02.04.2024): +- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 330K / month Β· πŸ“¦ 89 Β· ⏱️ 02.04.2024): ``` pip install dask-ml ``` -- [Conda](https://anaconda.org/conda-forge/dask-ml): +- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 820K Β· ⏱️ 21.03.2024): ``` conda install -c conda-forge dask-ml ```
-
SynapseML (πŸ₯ˆ29 Β· ⭐ 5K) - Simple and Distributed Machine Learning. MIT +
mpi4py (πŸ₯ˆ30 Β· ⭐ 760) - Python bindings for MPI. BSD-2 -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 810 Β· πŸ“‹ 740 - 46% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 110 Β· πŸ“₯ 23K Β· πŸ“‹ 160 - 4% open Β· ⏱️ 08.05.2024): ``` - git clone https://github.com/microsoft/SynapseML + git clone https://github.com/mpi4py/mpi4py ``` -- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 190K / month Β· πŸ“¦ 3 Β· ⏱️ 11.04.2024): +- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 230K / month Β· πŸ“¦ 670 Β· ⏱️ 14.04.2024): ``` - pip install synapseml + pip install mpi4py + ``` +- [Conda](https://anaconda.org/conda-forge/mpi4py) (πŸ“₯ 2.5M Β· ⏱️ 15.04.2024): + ``` + conda install -c conda-forge mpi4py ```
-
mpi4py (πŸ₯ˆ29 Β· ⭐ 750) - Python bindings for MPI. BSD-2 +
SynapseML (πŸ₯ˆ29 Β· ⭐ 5K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 110 Β· πŸ“₯ 23K Β· πŸ“‹ 160 - 8% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 810 Β· πŸ“‹ 740 - 46% open Β· ⏱️ 03.05.2024): ``` - git clone https://github.com/mpi4py/mpi4py - ``` -- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 230K / month Β· πŸ“¦ 780 Β· ⏱️ 14.04.2024): - ``` - pip install mpi4py + git clone https://github.com/microsoft/SynapseML ``` -- [Conda](https://anaconda.org/conda-forge/mpi4py) (πŸ“₯ 2.4M Β· ⏱️ 15.04.2024): +- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 230K / month Β· πŸ“¦ 3 Β· ⏱️ 11.04.2024): ``` - conda install -c conda-forge mpi4py + pip install synapseml ```
petastorm (πŸ₯‰26 Β· ⭐ 1.8K) - Petastorm library enables single machine or distributed training.. Apache-2 @@ -4697,19 +4682,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/uber/petastorm ``` -- [PyPi](https://pypi.org/project/petastorm) (πŸ“₯ 36K / month Β· πŸ“¦ 8 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/petastorm) (πŸ“₯ 37K / month Β· πŸ“¦ 8 Β· ⏱️ 03.02.2023): ``` pip install petastorm ```
Submit it (πŸ₯‰26 Β· ⭐ 1.1K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT -- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“¦ 2.5K Β· πŸ“‹ 110 - 33% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“¦ 2.6K Β· πŸ“‹ 120 - 36% open Β· ⏱️ 09.11.2023): ``` git clone https://github.com/facebookincubator/submitit ``` -- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 350K / month Β· πŸ“¦ 20 Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 330K / month Β· πŸ“¦ 39 Β· ⏱️ 09.11.2023): ``` pip install submitit ``` @@ -4729,19 +4714,19 @@ _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“₯ 6.5K Β· ⭐ 4 Β· ⏱️ 31.05.2022): +- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 6.6K Β· ⭐ 4 Β· ⏱️ 31.05.2022): ``` docker pull apache/singa ```
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”€ 130 Β· πŸ“¦ 98 Β· πŸ“‹ 170 - 39% open Β· ⏱️ 04.12.2023): +- [GitHub](https://github.com/learning-at-home/hivemind) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 130 Β· πŸ“¦ 100 Β· πŸ“‹ 170 - 40% open Β· ⏱️ 04.12.2023): ``` git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 4.5K / month Β· πŸ“¦ 7 Β· ⏱️ 31.08.2023): +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 4.7K / month Β· πŸ“¦ 10 Β· ⏱️ 31.08.2023): ``` pip install hivemind ``` @@ -4753,14 +4738,14 @@ _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“₯ 46K / month Β· πŸ“¦ 30 Β· ⏱️ 15.05.2022): +- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 54K / month Β· πŸ“¦ 30 Β· ⏱️ 15.05.2022): ``` pip install mesh-tensorflow ```
MMLSpark (πŸ₯‰22 Β· ⭐ 5K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 810 Β· πŸ“‹ 740 - 46% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 810 Β· πŸ“‹ 740 - 46% open Β· ⏱️ 03.05.2024): ``` git clone https://github.com/microsoft/SynapseML @@ -4777,26 +4762,26 @@ _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“₯ 690 / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): +- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 640 / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): ``` pip install analytics-zoo ```
launchpad (πŸ₯‰21 Β· ⭐ 300 Β· πŸ’€) - Launchpad is a library that simplifies writing.. Apache-2 -- [GitHub](https://github.com/google-deepmind/launchpad) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 33 Β· πŸ“¦ 95 Β· πŸ“‹ 39 - 46% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/google-deepmind/launchpad) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 33 Β· πŸ“¦ 96 Β· πŸ“‹ 40 - 47% open Β· ⏱️ 22.08.2023): ``` git clone https://github.com/deepmind/launchpad ``` -- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 1.6K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 1.5K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install dm-launchpad ```
Show 15 hidden projects... -- DEAP (πŸ₯ˆ32 Β· ⭐ 5.6K Β· πŸ’€) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 +- DEAP (πŸ₯ˆ32 Β· ⭐ 5.6K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 - ipyparallel (πŸ₯ˆ30 Β· ⭐ 2.6K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed - TensorFlowOnSpark (πŸ₯‰27 Β· ⭐ 3.9K Β· πŸ’€) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 - Elephas (πŸ₯‰27 Β· ⭐ 1.6K Β· πŸ’€) - Distributed Deep learning with Keras & Spark. MIT keras @@ -4805,7 +4790,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn - TensorFrames (πŸ₯‰20 Β· ⭐ 750 Β· πŸ’€) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 - somoclu (πŸ₯‰20 Β· ⭐ 260) - Massively parallel self-organizing maps: accelerate training on multicore.. MIT - mesh-transformer-jax (πŸ₯‰18 Β· ⭐ 6.2K Β· πŸ’€) - Model parallel transformers in JAX and Haiku. Apache-2 -- parallelformers (πŸ₯‰17 Β· ⭐ 750 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 +- parallelformers (πŸ₯‰18 Β· ⭐ 750 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 - bluefog (πŸ₯‰17 Β· ⭐ 290 Β· πŸ’€) - Distributed and decentralized training framework for PyTorch.. Apache-2 - Fiber (πŸ₯‰16 Β· ⭐ 1K Β· πŸ’€) - Distributed Computing for AI Made Simple. Apache-2 - LazyCluster (πŸ₯‰13 Β· ⭐ 50 Β· πŸ’€) - Distributed machine learning made simple. Apache-2 @@ -4822,39 +4807,55 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (πŸ₯‡35 Β· ⭐ 2.3K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 290 Β· πŸ“¦ 700 Β· πŸ“‹ 700 - 12% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 290 Β· πŸ“¦ 710 Β· πŸ“‹ 730 - 15% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/facebook/Ax ``` -- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 90K / month Β· πŸ“¦ 29 Β· ⏱️ 01.03.2024): +- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 91K / month Β· πŸ“¦ 48 Β· ⏱️ 02.05.2024): ``` pip install ax-platform ``` -- [Conda](https://anaconda.org/conda-forge/ax-platform) (πŸ“₯ 19K Β· ⏱️ 02.03.2024): +- [Conda](https://anaconda.org/conda-forge/ax-platform) (πŸ“₯ 19K Β· ⏱️ 03.05.2024): ``` conda install -c conda-forge ax-platform ```
+
featuretools (πŸ₯‡34 Β· ⭐ 7.1K) - An open source python library for automated feature engineering. BSD-3 + +- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 850 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1K - 17% open Β· ⏱️ 07.05.2024): + + ``` + git clone https://github.com/alteryx/featuretools + ``` +- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 57K / month Β· πŸ“¦ 78 Β· ⏱️ 26.02.2024): + ``` + pip install featuretools + ``` +- [Conda](https://anaconda.org/conda-forge/featuretools) (πŸ“₯ 180K Β· ⏱️ 27.02.2024): + ``` + conda install -c conda-forge featuretools + ``` +
BoTorch (πŸ₯‡34 Β· ⭐ 3K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 370 Β· πŸ“¦ 970 Β· πŸ“‹ 490 - 14% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 370 Β· πŸ“¦ 980 Β· πŸ“‹ 490 - 14% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/pytorch/botorch ``` -- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 130K / month Β· πŸ“¦ 74 Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 120K / month Β· πŸ“¦ 74 Β· ⏱️ 01.05.2024): ``` pip install botorch ``` -- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 100K Β· ⏱️ 01.05.2024): +- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 110K Β· ⏱️ 01.05.2024): ``` conda install -c conda-forge botorch ```
NNI (πŸ₯‡33 Β· ⭐ 14K Β· πŸ’€) - 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“¦ 630 Β· πŸ“‹ 2.1K - 18% open Β· ⏱️ 26.10.2023): +- [GitHub](https://github.com/microsoft/nni) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.8K Β· πŸ“¦ 640 Β· πŸ“‹ 2.1K - 18% open Β· ⏱️ 26.10.2023): ``` git clone https://github.com/microsoft/nni @@ -4866,48 +4867,32 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
AutoKeras (πŸ₯‡33 Β· ⭐ 9.1K) - AutoML library for deep learning. Apache-2 -- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 18K Β· πŸ“¦ 670 Β· πŸ“‹ 890 - 15% open Β· ⏱️ 20.03.2024): +- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 18K Β· πŸ“¦ 670 Β· πŸ“‹ 900 - 15% open Β· ⏱️ 20.03.2024): ``` git clone https://github.com/keras-team/autokeras ``` -- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 18K / month Β· πŸ“¦ 13 Β· ⏱️ 20.03.2024): +- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 19K / month Β· πŸ“¦ 13 Β· ⏱️ 20.03.2024): ``` pip install autokeras ```
AutoGluon (πŸ₯‡33 Β· ⭐ 7.2K) - Fast and Accurate ML in 3 Lines of Code. Apache-2 -- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 840 Β· πŸ“¦ 680 Β· πŸ“‹ 1.3K - 25% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 850 Β· πŸ“¦ 680 Β· πŸ“‹ 1.3K - 25% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/autogluon/autogluon ``` -- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 90K / month Β· πŸ“¦ 16 Β· ⏱️ 02.05.2024): +- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 83K / month Β· πŸ“¦ 18 Β· ⏱️ 09.05.2024): ``` pip install autogluon ``` -- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 7.5K Β· ⭐ 17 Β· ⏱️ 07.03.2024): +- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 7.6K Β· ⭐ 17 Β· ⏱️ 07.03.2024): ``` docker pull autogluon/autogluon ```
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featuretools (πŸ₯‡33 Β· ⭐ 7K) - An open source python library for automated feature engineering. BSD-3 - -- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 850 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1K - 17% open Β· ⏱️ 01.05.2024): - - ``` - git clone https://github.com/alteryx/featuretools - ``` -- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 53K / month Β· πŸ“¦ 78 Β· ⏱️ 26.02.2024): - ``` - pip install featuretools - ``` -- [Conda](https://anaconda.org/conda-forge/featuretools) (πŸ“₯ 180K Β· ⏱️ 27.02.2024): - ``` - conda install -c conda-forge featuretools - ``` -
Bayesian Optimization (πŸ₯ˆ32 Β· ⭐ 7.5K) - A Python implementation of global optimization with.. MIT - [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 1.5K Β· πŸ“₯ 140 Β· πŸ“¦ 2.6K Β· πŸ“‹ 340 - 4% open Β· ⏱️ 06.03.2024): @@ -4915,19 +4900,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/fmfn/BayesianOptimization ``` -- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 450K / month Β· πŸ“¦ 130 Β· ⏱️ 25.04.2023): +- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 510K / month Β· πŸ“¦ 130 Β· ⏱️ 25.04.2023): ``` pip install bayesian-optimization ```
Hyperopt (πŸ₯ˆ32 Β· ⭐ 7.1K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 -- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.1K Β· πŸ“¦ 15K Β· πŸ“‹ 680 - 36% open Β· ⏱️ 13.03.2024): +- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1K Β· πŸ“¦ 15K Β· πŸ“‹ 650 - 32% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/hyperopt/hyperopt ``` -- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 2.1M / month Β· πŸ“¦ 510 Β· ⏱️ 17.11.2021): +- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 2.2M / month Β· πŸ“¦ 420 Β· ⏱️ 17.11.2021): ``` pip install hyperopt ``` @@ -4938,28 +4923,28 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Keras Tuner (πŸ₯ˆ31 Β· ⭐ 2.8K) - A Hyperparameter Tuning Library for Keras. Apache-2 -- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 390 Β· πŸ“¦ 3.6K Β· πŸ“‹ 480 - 43% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 380 Β· πŸ“¦ 3.6K Β· πŸ“‹ 480 - 43% open Β· ⏱️ 04.03.2024): ``` git clone https://github.com/keras-team/keras-tuner ``` -- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 290K / month Β· πŸ“¦ 66 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 310K / month Β· πŸ“¦ 100 Β· ⏱️ 04.03.2024): ``` pip install keras-tuner ``` -- [Conda](https://anaconda.org/conda-forge/keras-tuner) (πŸ“₯ 30K Β· ⏱️ 05.03.2024): +- [Conda](https://anaconda.org/conda-forge/keras-tuner) (πŸ“₯ 31K Β· ⏱️ 05.03.2024): ``` conda install -c conda-forge keras-tuner ```
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nevergrad (πŸ₯ˆ30 Β· ⭐ 3.8K) - A Python toolbox for performing gradient-free optimization. MIT +
nevergrad (πŸ₯ˆ30 Β· ⭐ 3.9K) - A Python toolbox for performing gradient-free optimization. MIT -- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 340 Β· πŸ“¦ 660 Β· πŸ“‹ 300 - 42% open Β· ⏱️ 08.04.2024): +- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 340 Β· πŸ“¦ 670 Β· πŸ“‹ 300 - 42% open Β· ⏱️ 08.04.2024): ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 140K / month Β· πŸ“¦ 34 Β· ⏱️ 20.02.2024): +- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 190K / month Β· πŸ“¦ 34 Β· ⏱️ 20.02.2024): ``` pip install nevergrad ``` @@ -4975,7 +4960,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/mljar/mljar-supervised ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 3.8K / month Β· πŸ“¦ 2 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 3.6K / month Β· πŸ“¦ 2 Β· ⏱️ 10.04.2024): ``` pip install mljar-supervised ``` @@ -4984,52 +4969,52 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge mljar-supervised ```
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Talos (πŸ₯ˆ27 Β· ⭐ 1.6K Β· πŸ“ˆ) - Hyperparameter Experiments with TensorFlow and Keras. MIT +
Talos (πŸ₯ˆ27 Β· ⭐ 1.6K) - Hyperparameter Experiments with TensorFlow and Keras. MIT - [GitHub](https://github.com/autonomio/talos) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 270 Β· πŸ“¦ 170 Β· πŸ“‹ 400 - 2% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/autonomio/talos ``` -- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 2K / month Β· πŸ“¦ 8 Β· ⏱️ 21.04.2024): +- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 1.8K / month Β· πŸ“¦ 8 Β· ⏱️ 21.04.2024): ``` pip install talos ```
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FEDOT (πŸ₯‰23 Β· ⭐ 600) - Automated modeling and machine learning framework FEDOT. BSD-3 +
FEDOT (πŸ₯‰23 Β· ⭐ 610) - Automated modeling and machine learning framework FEDOT. BSD-3 -- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 83 Β· πŸ“¦ 45 Β· πŸ“‹ 530 - 17% open Β· ⏱️ 26.04.2024): +- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 83 Β· πŸ“¦ 45 Β· πŸ“‹ 530 - 17% open Β· ⏱️ 03.05.2024): ``` git clone https://github.com/nccr-itmo/FEDOT ``` -- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 860 / month Β· πŸ“¦ 3 Β· ⏱️ 05.03.2024): +- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1K / month Β· πŸ“¦ 5 Β· ⏱️ 03.05.2024): ``` pip install fedot ```
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featurewiz (πŸ₯‰22 Β· ⭐ 540) - Use advanced feature engineering strategies and select best.. Apache-2 +
Auto ViML (πŸ₯‰23 Β· ⭐ 490 Β· πŸ“ˆ) - Automatically Build Multiple ML Models with a Single Line of.. Apache-2 -- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 85 Β· πŸ“¦ 67 Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 99 Β· πŸ“¦ 24 Β· πŸ“‹ 32 - 3% open Β· ⏱️ 09.05.2024): ``` - git clone https://github.com/AutoViML/featurewiz + git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 7.2K / month Β· πŸ“¦ 2 Β· ⏱️ 10.02.2024): +- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 2.3K / month Β· πŸ“¦ 3 Β· ⏱️ 09.05.2024): ``` - pip install featurewiz + pip install autoviml ```
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Auto ViML (πŸ₯‰21 Β· ⭐ 490 Β· πŸ“ˆ) - Automatically Build Multiple ML Models with a Single Line of.. Apache-2 +
featurewiz (πŸ₯‰22 Β· ⭐ 550) - Use advanced feature engineering strategies and select best.. Apache-2 -- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 97 Β· πŸ“¦ 24 Β· πŸ“‹ 34 - 8% open Β· ⏱️ 03.12.2023): +- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 85 Β· πŸ“¦ 67 Β· πŸ“‹ 91 - 2% open Β· ⏱️ 02.05.2024): ``` - git clone https://github.com/AutoViML/Auto_ViML + git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2022): +- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 7.6K / month Β· πŸ“¦ 2 Β· ⏱️ 10.02.2024): ``` - pip install autoviml + pip install featurewiz ```
Hyperactive (πŸ₯‰20 Β· ⭐ 490) - An optimization and data collection toolbox for convenient and fast.. MIT @@ -5039,7 +5024,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/SimonBlanke/Hyperactive ``` -- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 3.4K / month Β· πŸ“¦ 5 Β· ⏱️ 24.10.2023): +- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 3.6K / month Β· πŸ“¦ 5 Β· ⏱️ 24.10.2023): ``` pip install hyperactive ``` @@ -5051,7 +5036,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 180 / month Β· ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 200 / month Β· ⏱️ 29.08.2020): ``` pip install alphapy ``` @@ -5063,7 +5048,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/cerlymarco/shap-hypetune ``` -- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 1.6K / month Β· πŸ“¦ 2 Β· ⏱️ 21.02.2024): +- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 1.5K / month Β· πŸ“¦ 2 Β· ⏱️ 21.02.2024): ``` pip install shap-hypetune ``` @@ -5075,7 +5060,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/gugarosa/opytimizer ``` -- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 180 / month Β· ⏱️ 04.05.2022): +- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 200 / month Β· ⏱️ 04.05.2022): ``` pip install opytimizer ``` @@ -5088,11 +5073,11 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - auto-sklearn (πŸ₯ˆ30 Β· ⭐ 7.4K Β· πŸ’€) - Automated Machine Learning with scikit-learn. BSD-3 - lazypredict (πŸ₯ˆ27 Β· ⭐ 2.7K Β· πŸ’€) - Lazy Predict help build a lot of basic models without much.. MIT - Hyperas (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT -- SMAC3 (πŸ₯ˆ25 Β· ⭐ 1K) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - GPyOpt (πŸ₯ˆ25 Β· ⭐ 920 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 -- lightwood (πŸ₯ˆ25 Β· ⭐ 420) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 +- lightwood (πŸ₯ˆ25 Β· ⭐ 430) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 +- auto_ml (πŸ₯ˆ24 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT +- SMAC3 (πŸ₯ˆ24 Β· ⭐ 1K) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - AdaNet (πŸ₯‰23 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 -- auto_ml (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - Orion (πŸ₯‰23 Β· ⭐ 280) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 - Test Tube (πŸ₯‰22 Β· ⭐ 740 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT - HpBandSter (πŸ₯‰22 Β· ⭐ 600 Β· πŸ’€) - a distributed Hyperband implementation on Steroids. BSD-3 @@ -5102,12 +5087,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - igel (πŸ₯‰20 Β· ⭐ 3.1K Β· πŸ’€) - a delightful machine learning tool that allows you to train, test, and.. MIT - sklearn-deap (πŸ₯‰20 Β· ⭐ 760 Β· πŸ’€) - Use evolutionary algorithms instead of gridsearch in.. MIT - Dragonfly (πŸ₯‰19 Β· ⭐ 840 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 +- Auto Tune Models (πŸ₯‰19 Β· ⭐ 520 Β· πŸ’€) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT - Sherpa (πŸ₯‰18 Β· ⭐ 330 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 +- Xcessiv (πŸ₯‰17 Β· ⭐ 1.3K Β· πŸ’€) - A web-based application for quick, scalable, and automated.. Apache-2 - HyperparameterHunter (πŸ₯‰17 Β· ⭐ 700 Β· πŸ’€) - Easy hyperparameter optimization and automatic result.. 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 - Parfit (πŸ₯‰16 Β· ⭐ 200 Β· πŸ’€) - A package for parallelizing the fit and flexibly scoring of.. MIT - ENAS (πŸ₯‰13 Β· ⭐ 2.7K Β· πŸ’€) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 - model_search (πŸ₯‰12 Β· ⭐ 3.3K Β· πŸ’€) - AutoML algorithms for model architecture search at scale. Apache-2 @@ -5124,50 +5109,50 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc _Libraries for building and evaluating reinforcement learning & agent-based systems._ -
FinRL (πŸ₯‡30 Β· ⭐ 9.1K) - FinRL: Financial Reinforcement Learning. MIT +
FinRL (πŸ₯‡31 Β· ⭐ 9.2K) - FinRL: Financial Reinforcement Learning. MIT -- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.2K Β· πŸ“¦ 36 Β· πŸ“‹ 690 - 31% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.2K Β· πŸ“¦ 38 Β· πŸ“‹ 690 - 31% open Β· ⏱️ 05.05.2024): ``` git clone https://github.com/AI4Finance-Foundation/FinRL ``` -- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 2.1K / month Β· ⏱️ 08.01.2022): +- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.8K / month Β· ⏱️ 08.01.2022): ``` pip install finrl ```
TF-Agents (πŸ₯‡30 Β· ⭐ 2.7K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 -- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 720 Β· πŸ“‹ 660 - 28% open Β· ⏱️ 20.03.2024): +- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 720 Β· πŸ“‹ 660 - 29% open Β· ⏱️ 20.03.2024): ``` git clone https://github.com/tensorflow/agents ``` -- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 100K / month Β· πŸ“¦ 10 Β· ⏱️ 14.12.2023): +- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 100K / month Β· πŸ“¦ 12 Β· ⏱️ 14.12.2023): ``` pip install tf-agents ```
Dopamine (πŸ₯ˆ28 Β· ⭐ 10K) - Dopamine is a research framework for fast prototyping of.. Apache-2 -- [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.4K Β· πŸ“¦ 21 Β· πŸ“‹ 180 - 52% open Β· ⏱️ 03.04.2024): +- [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.4K Β· πŸ“¦ 21 Β· πŸ“‹ 190 - 53% open Β· ⏱️ 06.05.2024): ``` 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“₯ 27K / month Β· πŸ“¦ 10 Β· ⏱️ 06.05.2024): ``` pip install dopamine-rl ```
Acme (πŸ₯ˆ28 Β· ⭐ 3.4K) - A library of reinforcement learning components and agents. Apache-2 -- [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 410 Β· πŸ“¦ 200 Β· πŸ“‹ 260 - 22% open Β· ⏱️ 26.04.2024): +- [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 410 Β· πŸ“¦ 200 Β· πŸ“‹ 260 - 23% open Β· ⏱️ 03.05.2024): ``` git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 2.3K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 2K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): ``` pip install dm-acme ``` @@ -5183,7 +5168,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/mwydmuch/ViZDoom ``` -- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 3.6K / month Β· πŸ“¦ 19 Β· ⏱️ 16.12.2023): +- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 3.6K / month Β· πŸ“¦ 13 Β· ⏱️ 16.12.2023): ``` pip install vizdoom ``` @@ -5195,31 +5180,31 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 800 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): +- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 940 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): ``` pip install tensorforce ```
RLax (πŸ₯‰26 Β· ⭐ 1.2K) - A library of reinforcement learning building blocks in JAX. Apache-2 -- [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 83 Β· πŸ“¦ 220 Β· πŸ“‹ 25 - 28% open Β· ⏱️ 24.11.2023): +- [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 84 Β· πŸ“¦ 230 Β· πŸ“‹ 25 - 28% open Β· ⏱️ 24.11.2023): ``` git clone https://github.com/deepmind/rlax ``` -- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 2M / month Β· πŸ“¦ 11 Β· ⏱️ 09.01.2023): +- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 2.4M / month Β· πŸ“¦ 11 Β· ⏱️ 09.01.2023): ``` pip install rlax ```
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PARL (πŸ₯‰24 Β· ⭐ 3.2K) - A high-performance distributed training framework for Reinforcement.. Apache-2 +
PARL (πŸ₯‰25 Β· ⭐ 3.2K) - A high-performance distributed training framework for Reinforcement.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 810 Β· πŸ“¦ 120 Β· πŸ“‹ 530 - 25% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 810 Β· πŸ“¦ 120 Β· πŸ“‹ 530 - 25% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 870 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 820 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): ``` pip install parl ``` @@ -5231,12 +5216,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/facebookresearch/ReAgent ``` -- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 34 / month Β· ⏱️ 27.05.2020): +- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 30 / month Β· ⏱️ 27.05.2020): ``` pip install reagent ```
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PFRL (πŸ₯‰22 Β· ⭐ 1.1K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT +
PFRL (πŸ₯‰23 Β· ⭐ 1.1K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT - [GitHub](https://github.com/pfnet/pfrl) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 150 Β· πŸ“¦ 110 Β· πŸ“‹ 78 - 42% open Β· ⏱️ 29.04.2024): @@ -5250,7 +5235,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
rliable (πŸ₯‰14 Β· ⭐ 700) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2 -- [GitHub](https://github.com/google-research/rliable) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 43 Β· πŸ“¦ 130 Β· πŸ“‹ 15 - 20% open Β· ⏱️ 29.01.2024): +- [GitHub](https://github.com/google-research/rliable) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 43 Β· πŸ“¦ 130 Β· πŸ“‹ 16 - 25% open Β· ⏱️ 29.01.2024): ``` git clone https://github.com/google-research/rliable @@ -5267,7 +5252,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst - keras-rl (πŸ₯ˆ28 Β· ⭐ 5.5K Β· πŸ’€) - Deep Reinforcement Learning for Keras. MIT - TensorLayer (πŸ₯ˆ27 Β· ⭐ 7.3K Β· πŸ’€) - Deep Learning and Reinforcement Learning Library for.. Apache-2 - garage (πŸ₯‰25 Β· ⭐ 1.8K Β· πŸ’€) - A toolkit for reproducible reinforcement learning research. MIT -- Stable Baselines (πŸ₯‰24 Β· ⭐ 4K Β· πŸ’€) - A fork of OpenAI Baselines, implementations of.. MIT +- Stable Baselines (πŸ₯‰24 Β· ⭐ 4.1K Β· πŸ’€) - A fork of OpenAI Baselines, implementations of.. MIT - ChainerRL (πŸ₯‰24 Β· ⭐ 1.2K Β· πŸ’€) - ChainerRL is a deep reinforcement learning library built on top of.. MIT - TRFL (πŸ₯‰22 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 @@ -5285,19 +5270,19 @@ _Libraries for building and evaluating recommendation systems._
Recommenders (πŸ₯‡35 Β· ⭐ 18K) - Best Practices on Recommendation Systems. MIT -- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3K Β· πŸ“₯ 480 Β· πŸ“¦ 110 Β· πŸ“‹ 840 - 19% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3K Β· πŸ“₯ 480 Β· πŸ“¦ 110 Β· πŸ“‹ 840 - 18% open Β· ⏱️ 01.05.2024): ``` git clone https://github.com/microsoft/recommenders ``` -- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 26K / month Β· πŸ“¦ 4 Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 22K / month Β· πŸ“¦ 4 Β· ⏱️ 01.05.2024): ``` pip install recommenders ```
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torchrec (πŸ₯‡31 Β· ⭐ 1.7K Β· πŸ“ˆ) - Pytorch domain library for recommendation systems. BSD-3 +
torchrec (πŸ₯‡31 Β· ⭐ 1.7K) - Pytorch domain library for recommendation systems. BSD-3 -- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 350 Β· πŸ“¦ 100 Β· πŸ“‹ 340 - 70% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 360 Β· πŸ“¦ 110 Β· πŸ“‹ 360 - 71% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/pytorch/torchrec @@ -5309,68 +5294,68 @@ _Libraries for building and evaluating recommendation systems._
implicit (πŸ₯ˆ30 Β· ⭐ 3.4K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT -- [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 600 Β· πŸ“₯ 710 Β· πŸ“¦ 1.3K Β· πŸ“‹ 490 - 16% open Β· ⏱️ 21.11.2023): +- [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 600 Β· πŸ“₯ 760 Β· πŸ“¦ 1.3K Β· πŸ“‹ 490 - 17% open Β· ⏱️ 21.11.2023): ``` git clone https://github.com/benfred/implicit ``` -- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 170K / month Β· πŸ“¦ 28 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 180K / month Β· πŸ“¦ 28 Β· ⏱️ 29.09.2023): ``` pip install implicit ``` -- [Conda](https://anaconda.org/conda-forge/implicit) (πŸ“₯ 600K Β· ⏱️ 21.11.2023): +- [Conda](https://anaconda.org/conda-forge/implicit) (πŸ“₯ 610K Β· ⏱️ 21.11.2023): ``` conda install -c conda-forge implicit ```
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TF Ranking (πŸ₯ˆ28 Β· ⭐ 2.7K) - Learning to Rank in TensorFlow. Apache-2 +
TF Recommenders (πŸ₯ˆ29 Β· ⭐ 1.8K) - TensorFlow Recommenders is a library for building.. Apache-2 -- [GitHub](https://github.com/tensorflow/ranking) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 470 Β· πŸ“‹ 330 - 27% open Β· ⏱️ 18.03.2024): +- [GitHub](https://github.com/tensorflow/recommenders) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 260 Β· πŸ“¦ 320 Β· πŸ“‹ 430 - 57% open Β· ⏱️ 16.02.2024): ``` - git clone https://github.com/tensorflow/ranking + git clone https://github.com/tensorflow/recommenders ``` -- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 98K / month Β· πŸ“¦ 13 Β· ⏱️ 18.03.2024): +- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 470K / month Β· πŸ“¦ 1 Β· ⏱️ 03.02.2023): ``` - pip install tensorflow_ranking + pip install tensorflow-recommenders ```
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TF Recommenders (πŸ₯ˆ28 Β· ⭐ 1.8K) - TensorFlow Recommenders is a library for building.. Apache-2 +
TF Ranking (πŸ₯ˆ28 Β· ⭐ 2.7K) - Learning to Rank in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/recommenders) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 260 Β· πŸ“¦ 320 Β· πŸ“‹ 420 - 55% open Β· ⏱️ 16.02.2024): +- [GitHub](https://github.com/tensorflow/ranking) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 470 Β· πŸ“‹ 330 - 27% open Β· ⏱️ 18.03.2024): ``` - git clone https://github.com/tensorflow/recommenders + git clone https://github.com/tensorflow/ranking ``` -- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 450K / month Β· πŸ“¦ 1 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 120K / month Β· πŸ“¦ 15 Β· ⏱️ 18.03.2024): ``` - pip install tensorflow-recommenders + pip install tensorflow_ranking ```
Cornac (πŸ₯ˆ28 Β· ⭐ 820) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 -- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 130 Β· πŸ“¦ 210 Β· πŸ“‹ 140 - 8% open Β· ⏱️ 24.04.2024): +- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 130 Β· πŸ“¦ 210 Β· πŸ“‹ 140 - 8% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/PreferredAI/cornac ``` -- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 42K / month Β· πŸ“¦ 16 Β· ⏱️ 21.03.2024): +- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 32K / month Β· πŸ“¦ 18 Β· ⏱️ 06.05.2024): ``` pip install cornac ``` -- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 370K Β· ⏱️ 04.04.2024): +- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 370K Β· ⏱️ 07.05.2024): ``` conda install -c conda-forge cornac ```
scikit-surprise (πŸ₯‰27 Β· ⭐ 6.2K) - A Python scikit for building and analyzing recommender.. BSD-3 -- [GitHub](https://github.com/NicolasHug/Surprise) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 1K Β· πŸ“¦ 21 Β· πŸ“‹ 390 - 22% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/NicolasHug/Surprise) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 1K Β· πŸ“¦ 21 Β· πŸ“‹ 400 - 22% open Β· ⏱️ 29.04.2024): ``` git clone https://github.com/NicolasHug/Surprise ``` -- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“₯ 94K / month Β· πŸ“¦ 50 Β· ⏱️ 23.09.2022): +- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“₯ 88K / month Β· πŸ“¦ 36 Β· ⏱️ 23.09.2022): ``` pip install scikit-surprise ``` @@ -5386,7 +5371,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 4.1K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 4.3K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): ``` pip install recbole ``` @@ -5409,7 +5394,7 @@ _Libraries for building and evaluating recommendation systems._
Show 8 hidden projects... -- lightfm (πŸ₯ˆ29 Β· ⭐ 4.6K Β· πŸ’€) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 +- lightfm (πŸ₯ˆ28 Β· ⭐ 4.6K Β· πŸ’€) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 - lkpy (πŸ₯‰25 Β· ⭐ 260) - Python recommendation toolkit. MIT - tensorrec (πŸ₯‰21 Β· ⭐ 1.3K Β· πŸ’€) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - fastFM (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ’€) - fastFM: A Library for Factorization Machines. BSD-3 @@ -5428,19 +5413,19 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
PySyft (πŸ₯‡37 Β· ⭐ 9.3K) - Perform data science on data that remains in someone elses server. Apache-2 -- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 510 Β· πŸ”€ 2K Β· πŸ“₯ 2.5K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 0% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 510 Β· πŸ”€ 2K Β· πŸ“₯ 2.5K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 0% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 9K / month Β· πŸ“¦ 5 Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 9.5K / month Β· πŸ“¦ 5 Β· ⏱️ 28.04.2024): ``` pip install syft ```
Opacus (πŸ₯ˆ30 Β· ⭐ 1.6K) - Training PyTorch models with differential privacy. Apache-2 -- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 320 Β· πŸ“₯ 110 Β· πŸ“¦ 770 Β· πŸ“‹ 290 - 26% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 320 Β· πŸ“₯ 110 Β· πŸ“¦ 780 Β· πŸ“‹ 290 - 26% open Β· ⏱️ 05.03.2024): ``` git clone https://github.com/pytorch/opacus @@ -5454,38 +5439,38 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l conda install -c conda-forge opacus ```
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TensorFlow Privacy (πŸ₯ˆ27 Β· ⭐ 1.9K) - Library for training machine learning models with.. Apache-2 +
FATE (πŸ₯ˆ27 Β· ⭐ 5.5K) - An Industrial Grade Federated Learning Framework. Apache-2 -- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 450 Β· πŸ“₯ 150 Β· πŸ“‹ 200 - 55% open Β· ⏱️ 26.04.2024): +- [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.9K - 43% open Β· ⏱️ 08.03.2024): ``` - git clone https://github.com/tensorflow/privacy + git clone https://github.com/FederatedAI/FATE ``` -- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 20K / month Β· πŸ“¦ 15 Β· ⏱️ 14.02.2024): +- [PyPi](https://pypi.org/project/ETAF) (⏱️ 06.05.2020): ``` - pip install tensorflow-privacy + pip install ETAF ```
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FATE (πŸ₯‰26 Β· ⭐ 5.5K) - An Industrial Grade Federated Learning Framework. Apache-2 +
TensorFlow Privacy (πŸ₯‰26 Β· ⭐ 1.9K) - Library for training machine learning models with.. Apache-2 -- [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.9K - 43% open Β· ⏱️ 08.03.2024): +- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 450 Β· πŸ“₯ 150 Β· πŸ“‹ 200 - 55% open Β· ⏱️ 26.04.2024): ``` - git clone https://github.com/FederatedAI/FATE + git clone https://github.com/tensorflow/privacy ``` -- [PyPi](https://pypi.org/project/ETAF) (⏱️ 06.05.2020): +- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 21K / month Β· πŸ“¦ 15 Β· ⏱️ 14.02.2024): ``` - pip install ETAF + pip install tensorflow-privacy ```
CrypTen (πŸ₯‰24 Β· ⭐ 1.5K) - A framework for Privacy Preserving Machine Learning. MIT -- [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 270 Β· πŸ“¦ 34 Β· πŸ“‹ 270 - 28% open Β· ⏱️ 14.03.2024): +- [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 270 Β· πŸ“¦ 35 Β· πŸ“‹ 270 - 28% open Β· ⏱️ 02.05.2024): ``` git clone https://github.com/facebookresearch/CrypTen ``` -- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 320 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 340 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): ``` pip install crypten ``` @@ -5505,28 +5490,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (πŸ₯‡44 Β· ⭐ 17K) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 730 Β· πŸ”€ 3.9K Β· πŸ“¦ 34K Β· πŸ“‹ 3.8K - 37% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 730 Β· πŸ”€ 3.9K Β· πŸ“¦ 35K Β· πŸ“‹ 3.9K - 37% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/mlflow/mlflow ``` -- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 13M / month Β· πŸ“¦ 590 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 14M / month Β· πŸ“¦ 760 Β· ⏱️ 17.04.2024): ``` pip install mlflow ``` -- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 1.9M Β· ⏱️ 19.04.2024): +- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 1.9M Β· ⏱️ 09.05.2024): ``` conda install -c conda-forge mlflow ```
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Tensorboard (πŸ₯‡44 Β· ⭐ 6.5K) - TensorFlows Visualization Toolkit. Apache-2 +
Tensorboard (πŸ₯‡44 Β· ⭐ 6.6K) - TensorFlows Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“¦ 230K Β· πŸ“‹ 1.9K - 35% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“¦ 230K Β· πŸ“‹ 1.9K - 35% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/tensorflow/tensorboard ``` -- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 29M / month Β· πŸ“¦ 1.9K Β· ⏱️ 16.02.2024): +- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 29M / month Β· πŸ“¦ 2K Β· ⏱️ 16.02.2024): ``` pip install tensorboard ``` @@ -5535,30 +5520,30 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge tensorboard ```
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wandb client (πŸ₯‡42 Β· ⭐ 8.2K) - A tool for visualizing and tracking your machine learning.. MIT +
wandb client (πŸ₯‡42 Β· ⭐ 8.3K) - A tool for visualizing and tracking your machine learning.. MIT -- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 600 Β· πŸ“¦ 44K Β· πŸ“‹ 3.1K - 26% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 610 Β· πŸ“¦ 45K Β· πŸ“‹ 3.1K - 26% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/wandb/client ``` -- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 13M / month Β· πŸ“¦ 810 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 13M / month Β· πŸ“¦ 1.2K Β· ⏱️ 07.05.2024): ``` pip install wandb ``` -- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 490K Β· ⏱️ 25.03.2024): +- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 500K Β· ⏱️ 25.03.2024): ``` conda install -c conda-forge wandb ```
DVC (πŸ₯‡41 Β· ⭐ 13K) - ML Experiments and Data Management with Git. Apache-2 -- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.1K Β· πŸ“₯ 42K Β· πŸ“¦ 15K Β· πŸ“‹ 4.6K - 4% open Β· ⏱️ 26.04.2024): +- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.1K Β· πŸ“₯ 42K Β· πŸ“¦ 15K Β· πŸ“‹ 4.6K - 4% open Β· ⏱️ 03.05.2024): ``` git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 490K / month Β· πŸ“¦ 100 Β· ⏱️ 26.04.2024): +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 490K / month Β· πŸ“¦ 110 Β· ⏱️ 26.04.2024): ``` pip install dvc ``` @@ -5569,28 +5554,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
SageMaker SDK (πŸ₯ˆ40 Β· ⭐ 2K) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 1.1K Β· πŸ“¦ 3.9K Β· πŸ“‹ 1.5K - 19% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 1.1K Β· πŸ“¦ 3.9K Β· πŸ“‹ 1.5K - 19% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/aws/sagemaker-python-sdk ``` -- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 28M / month Β· πŸ“¦ 130 Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 27M / month Β· πŸ“¦ 130 Β· ⏱️ 08.05.2024): ``` pip install sagemaker ``` -- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 750K Β· ⏱️ 01.05.2024): +- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 760K Β· ⏱️ 09.05.2024): ``` conda install -c conda-forge sagemaker-python-sdk ```
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PyCaret (πŸ₯ˆ38 Β· ⭐ 8.4K) - An open-source, low-code machine learning library in Python. MIT +
PyCaret (πŸ₯ˆ38 Β· ⭐ 8.5K) - An open-source, low-code machine learning library in Python. MIT - [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.7K Β· πŸ“₯ 690 Β· πŸ“¦ 5.6K Β· πŸ“‹ 2.3K - 15% open Β· ⏱️ 28.04.2024): ``` git clone https://github.com/pycaret/pycaret ``` -- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 370K / month Β· πŸ“¦ 19 Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 370K / month Β· πŸ“¦ 30 Β· ⏱️ 28.04.2024): ``` pip install pycaret ``` @@ -5601,28 +5586,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
Metaflow (πŸ₯ˆ34 Β· ⭐ 7.6K) - Build and manage real-life ML, AI, and data science projects with.. Apache-2 -- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 720 Β· πŸ“¦ 640 Β· πŸ“‹ 680 - 45% open Β· ⏱️ 26.04.2024): +- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 720 Β· πŸ“¦ 640 Β· πŸ“‹ 680 - 46% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 470K / month Β· πŸ“¦ 28 Β· ⏱️ 12.04.2024): +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 540K / month Β· πŸ“¦ 42 Β· ⏱️ 08.05.2024): ``` pip install metaflow ``` -- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 170K Β· ⏱️ 13.04.2024): +- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 170K Β· ⏱️ 09.05.2024): ``` conda install -c conda-forge metaflow ```
ClearML (πŸ₯ˆ34 Β· ⭐ 5.3K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2 -- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 630 Β· πŸ“₯ 2.4K Β· πŸ“¦ 1.1K Β· πŸ“‹ 990 - 45% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 630 Β· πŸ“₯ 2.4K Β· πŸ“¦ 1.1K Β· πŸ“‹ 1K - 45% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/allegroai/clearml ``` -- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 310K / month Β· πŸ“¦ 18 Β· ⏱️ 09.04.2024): +- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 300K / month Β· πŸ“¦ 33 Β· ⏱️ 08.05.2024): ``` pip install clearml ``` @@ -5631,32 +5616,32 @@ _Libraries to organize, track, and visualize machine learning experiments._ docker pull allegroai/trains ```
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AzureML SDK (πŸ₯ˆ34 Β· ⭐ 4K) - Python notebooks with ML and deep learning examples with Azure Machine.. MIT +
snakemake (πŸ₯ˆ34 Β· ⭐ 2.1K) - This is the development home of the workflow management system.. MIT -- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 2.5K Β· πŸ“₯ 560 Β· πŸ“‹ 1.5K - 26% open Β· ⏱️ 15.02.2024): +- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 520 Β· πŸ“¦ 2K Β· πŸ“‹ 1.7K - 61% open Β· ⏱️ 07.05.2024): ``` - git clone https://github.com/Azure/MachineLearningNotebooks + git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 630K / month Β· πŸ“¦ 48 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 98K / month Β· πŸ“¦ 220 Β· ⏱️ 03.05.2024): ``` - pip install azureml-sdk + pip install snakemake + ``` +- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 1M Β· ⏱️ 03.05.2024): + ``` + conda install -c bioconda snakemake ```
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snakemake (πŸ₯ˆ34 Β· ⭐ 2.1K) - This is the development home of the workflow management system.. MIT +
AzureML SDK (πŸ₯ˆ33 Β· ⭐ 4K) - Python notebooks with ML and deep learning examples with Azure Machine.. MIT -- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 510 Β· πŸ“¦ 2K Β· πŸ“‹ 1.7K - 62% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 2.5K Β· πŸ“₯ 560 Β· πŸ“‹ 1.5K - 26% open Β· ⏱️ 15.02.2024): ``` - git clone https://github.com/snakemake/snakemake - ``` -- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 120K / month Β· πŸ“¦ 270 Β· ⏱️ 29.04.2024): - ``` - pip install snakemake + git clone https://github.com/Azure/MachineLearningNotebooks ``` -- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 1M Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 620K / month Β· πŸ“¦ 48 Β· ⏱️ 29.04.2024): ``` - conda install -c bioconda snakemake + pip install azureml-sdk ```
tensorboardX (πŸ₯ˆ32 Β· ⭐ 7.8K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT @@ -5677,12 +5662,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
kaggle (πŸ₯ˆ32 Β· ⭐ 5.9K) - Official Kaggle API. Apache-2 -- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 1K Β· πŸ“¦ 21 Β· πŸ“‹ 460 - 33% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 1K Β· πŸ“¦ 21 Β· πŸ“‹ 460 - 32% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/Kaggle/kaggle-api ``` -- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 210K / month Β· πŸ“¦ 400 Β· ⏱️ 12.04.2024): +- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 200K / month Β· πŸ“¦ 180 Β· ⏱️ 12.04.2024): ``` pip install kaggle ``` @@ -5693,32 +5678,32 @@ _Libraries to organize, track, and visualize machine learning experiments._
aim (πŸ₯ˆ32 Β· ⭐ 4.8K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 280 Β· πŸ“¦ 530 Β· πŸ“‹ 990 - 34% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 290 Β· πŸ“¦ 540 Β· πŸ“‹ 1K - 34% open Β· ⏱️ 17.04.2024): ``` git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 76K / month Β· πŸ“¦ 32 Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 76K / month Β· πŸ“¦ 32 Β· ⏱️ 08.05.2024): ``` pip install aim ``` -- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 45K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 46K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge aim ```
Neptune.ai (πŸ₯ˆ31 Β· ⭐ 540) - The MLOps stack component for experiment tracking. Apache-2 -- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 57 Β· πŸ“¦ 460 Β· πŸ“‹ 240 - 12% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 57 Β· πŸ“¦ 460 Β· πŸ“‹ 230 - 9% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/neptune-ai/neptune-client ``` -- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 540K / month Β· πŸ“¦ 51 Β· ⏱️ 08.04.2024): +- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 540K / month Β· πŸ“¦ 77 Β· ⏱️ 09.05.2024): ``` pip install neptune-client ``` -- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 240K Β· ⏱️ 08.04.2024): +- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 240K Β· ⏱️ 09.05.2024): ``` conda install -c conda-forge neptune-client ``` @@ -5735,25 +5720,25 @@ _Libraries to organize, track, and visualize machine learning experiments._ pip install visualdl ```
-
sacred (πŸ₯ˆ29 Β· ⭐ 4.2K Β· πŸ“‰) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT +
sacred (πŸ₯ˆ29 Β· ⭐ 4.2K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT - [GitHub](https://github.com/IDSIA/sacred) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 380 Β· πŸ“¦ 3K Β· πŸ“‹ 560 - 17% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/IDSIA/sacred ``` -- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 27K / month Β· πŸ“¦ 110 Β· ⏱️ 13.11.2023): +- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 28K / month Β· πŸ“¦ 58 Β· ⏱️ 13.11.2023): ``` pip install sacred ``` -- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 5.1K Β· ⏱️ 28.11.2023): +- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 5.2K Β· ⏱️ 28.11.2023): ``` conda install -c conda-forge sacred ```
Labml (πŸ₯‰28 Β· ⭐ 1.9K) - Monitor deep learning model training and hardware usage from your mobile.. MIT -- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 130 Β· πŸ“¦ 150 Β· πŸ“‹ 38 - 42% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 130 Β· πŸ“¦ 150 Β· πŸ“‹ 38 - 42% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/labmlai/labml @@ -5765,36 +5750,36 @@ _Libraries to organize, track, and visualize machine learning experiments._
quinn (πŸ₯‰27 Β· ⭐ 580) - pyspark methods to enhance developer productivity. Apache-2 -- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 89 Β· πŸ“₯ 23 Β· πŸ“¦ 76 Β· πŸ“‹ 120 - 31% open Β· ⏱️ 14.04.2024): +- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 90 Β· πŸ“₯ 23 Β· πŸ“¦ 76 Β· πŸ“‹ 120 - 31% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/MrPowers/quinn ``` -- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 790K / month Β· πŸ“¦ 7 Β· ⏱️ 13.02.2024): +- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 780K / month Β· πŸ“¦ 7 Β· ⏱️ 13.02.2024): ``` pip install quinn ```
TNT (πŸ₯‰26 Β· ⭐ 1.6K) - A lightweight library for PyTorch training tools and utilities. BSD-3 -- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 260 Β· πŸ“‹ 120 - 47% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 260 Β· πŸ“‹ 120 - 47% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 6.9K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): +- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 6.8K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): ``` pip install torchnet ```
ml-metadata (πŸ₯‰26 Β· ⭐ 600) - For recording and retrieving metadata associated with ML.. Apache-2 -- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 130 Β· πŸ“₯ 2.2K Β· πŸ“¦ 440 Β· πŸ“‹ 120 - 35% open Β· ⏱️ 26.04.2024): +- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 130 Β· πŸ“₯ 2.2K Β· πŸ“¦ 440 Β· πŸ“‹ 120 - 34% open Β· ⏱️ 26.04.2024): ``` git clone https://github.com/google/ml-metadata ``` -- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 73K / month Β· πŸ“¦ 24 Β· ⏱️ 23.04.2024): +- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 75K / month Β· πŸ“¦ 31 Β· ⏱️ 23.04.2024): ``` pip install ml-metadata ``` @@ -5818,7 +5803,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/studioml/studio ``` -- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 760 / month Β· ⏱️ 14.09.2021): +- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 900 / month Β· ⏱️ 14.09.2021): ``` pip install studioml ``` @@ -5830,7 +5815,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/microsoft/tensorwatch ``` -- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 890 / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): +- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 900 / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): ``` pip install tensorwatch ``` @@ -5842,7 +5827,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/google/caliban ``` -- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 110 / month Β· ⏱️ 12.09.2020): +- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 120 / month Β· ⏱️ 12.09.2020): ``` pip install caliban ``` @@ -5854,7 +5839,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/comet-ml/examples ``` -- [PyPi](https://pypi.org/project/comet_ml) (πŸ“₯ 340K / month Β· πŸ“¦ 67 Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/comet_ml) (πŸ“₯ 420K / month Β· πŸ“¦ 67 Β· ⏱️ 24.04.2024): ``` pip install comet_ml ``` @@ -5875,8 +5860,8 @@ _Libraries to organize, track, and visualize machine learning experiments._ - TensorBoard Logger (πŸ₯‰21 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₯‰18 Β· ⭐ 340 Β· πŸ’€) - Open source production model management tool for data scientists. MIT -- MXBoard (πŸ₯‰17 Β· ⭐ 320 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 - chitra (πŸ₯‰17 Β· ⭐ 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2 +- MXBoard (πŸ₯‰16 Β· ⭐ 320 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 - steppy (πŸ₯‰16 Β· ⭐ 130 Β· πŸ’€) - Lightweight, Python library for fast and reproducible experimentation. MIT - 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 @@ -5891,72 +5876,72 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (πŸ₯‡43 Β· ⭐ 17K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 3.6K Β· πŸ“₯ 20K Β· πŸ“¦ 27K Β· πŸ“‹ 2.7K - 11% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 3.6K Β· πŸ“₯ 20K Β· πŸ“¦ 27K Β· πŸ“‹ 2.7K - 11% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 5.5M / month Β· πŸ“¦ 750 Β· ⏱️ 25.03.2024): +- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 5.6M / month Β· πŸ“¦ 910 Β· ⏱️ 25.03.2024): ``` pip install onnx ``` -- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 970K Β· ⏱️ 26.03.2024): +- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 980K Β· ⏱️ 26.03.2024): ``` conda install -c conda-forge onnx ```
triton (πŸ₯‡43 Β· ⭐ 11K) - Development repository for the Triton language and compiler. MIT -- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.3K Β· πŸ“¦ 24K Β· πŸ“‹ 1.2K - 44% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.3K Β· πŸ“¦ 25K Β· πŸ“‹ 1.2K - 44% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/openai/triton ``` -- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 11M / month Β· πŸ“¦ 780 Β· ⏱️ 05.04.2024): +- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 12M / month Β· πŸ“¦ 170 Β· ⏱️ 05.04.2024): ``` pip install triton ```
huggingface_hub (πŸ₯ˆ38 Β· ⭐ 1.7K) - The official Python client for the Huggingface Hub. Apache-2 -- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 430 Β· πŸ“‹ 810 - 17% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 430 Β· πŸ“‹ 820 - 17% open Β· ⏱️ 03.05.2024): ``` git clone https://github.com/huggingface/huggingface_hub ``` -- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 34M / month Β· πŸ“¦ 1.2K Β· ⏱️ 02.05.2024): +- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 35M / month Β· πŸ“¦ 1.2K Β· ⏱️ 02.05.2024): ``` pip install huggingface_hub ``` -- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (πŸ“₯ 1.7M Β· ⏱️ 01.04.2024): +- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (πŸ“₯ 1.7M Β· ⏱️ 03.05.2024): ``` conda install -c conda-forge huggingface_hub ```
BentoML (πŸ₯ˆ35 Β· ⭐ 6.6K) - The most flexible way to serve AI/ML models in production - Build.. Apache-2 -- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 740 Β· πŸ“₯ 1.7K Β· πŸ“¦ 1.8K Β· πŸ“‹ 1K - 21% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 740 Β· πŸ“₯ 1.7K Β· πŸ“¦ 1.8K Β· πŸ“‹ 1K - 21% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 74K / month Β· πŸ“¦ 14 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 86K / month Β· πŸ“¦ 23 Β· ⏱️ 08.05.2024): ``` pip install bentoml ```
TorchServe (πŸ₯ˆ35 Β· ⭐ 4K) - Serve, optimize and scale PyTorch models in production. Apache-2 -- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 810 Β· πŸ“₯ 5.6K Β· πŸ“¦ 640 Β· πŸ“‹ 1.6K - 22% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 810 Β· πŸ“₯ 5.7K Β· πŸ“¦ 650 Β· πŸ“‹ 1.6K - 22% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/pytorch/serve ``` -- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 48K / month Β· πŸ“¦ 21 Β· ⏱️ 14.03.2024): +- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 49K / month Β· πŸ“¦ 21 Β· ⏱️ 14.03.2024): ``` pip install torchserve ``` -- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 170K Β· ⏱️ 14.03.2024): +- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 180K Β· ⏱️ 14.03.2024): ``` conda install -c pytorch torchserve ``` @@ -5972,55 +5957,55 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/apple/coremltools ``` -- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 260K / month Β· πŸ“¦ 180 Β· ⏱️ 23.04.2024): +- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 270K / month Β· πŸ“¦ 180 Β· ⏱️ 23.04.2024): ``` pip install coremltools ``` -- [Conda](https://anaconda.org/conda-forge/coremltools) (πŸ“₯ 55K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/coremltools) (πŸ“₯ 56K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge coremltools ```
hls4ml (πŸ₯ˆ27 Β· ⭐ 1.1K) - Machine learning on FPGAs using HLS. Apache-2 -- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 360 Β· πŸ“‹ 410 - 38% open Β· ⏱️ 19.04.2024): +- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 360 Β· πŸ“‹ 410 - 38% open Β· ⏱️ 03.05.2024): ``` git clone https://github.com/fastmachinelearning/hls4ml ``` -- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 1.2K / month Β· ⏱️ 19.12.2023): +- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 1.1K / month Β· ⏱️ 19.12.2023): ``` pip install hls4ml ``` -- [Conda](https://anaconda.org/conda-forge/hls4ml) (πŸ“₯ 7.4K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/hls4ml) (πŸ“₯ 7.5K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge hls4ml ```
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Hummingbird (πŸ₯ˆ26 Β· ⭐ 3.3K) - Hummingbird compiles trained ML models into tensor computation for.. MIT +
Hummingbird (πŸ₯ˆ25 Β· ⭐ 3.3K) - Hummingbird compiles trained ML models into tensor computation for.. MIT -- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 270 Β· πŸ“₯ 440 Β· πŸ“‹ 320 - 18% open Β· ⏱️ 08.03.2024): +- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 270 Β· πŸ“₯ 450 Β· πŸ“‹ 320 - 18% open Β· ⏱️ 08.03.2024): ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 7.2K / month Β· πŸ“¦ 4 Β· ⏱️ 08.03.2024): +- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 6.1K / month Β· πŸ“¦ 4 Β· ⏱️ 08.03.2024): ``` pip install hummingbird-ml ``` -- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (πŸ“₯ 39K Β· ⏱️ 08.03.2024): +- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (πŸ“₯ 40K Β· ⏱️ 08.03.2024): ``` conda install -c conda-forge hummingbird-ml ```
nebullvm (πŸ₯‰21 Β· ⭐ 8.4K Β· πŸ’€) - 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“₯ 820 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 780 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): ``` pip install nebullvm ``` @@ -6032,20 +6017,20 @@ _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“₯ 75 / month Β· ⏱️ 30.03.2017): +- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 93 / month Β· ⏱️ 30.03.2017): ``` pip install tfdeploy ```
Show 10 hidden projects... -- mmdnn (πŸ₯‰25 Β· ⭐ 5.8K Β· πŸ’€) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT -- m2cgen (πŸ₯‰25 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 +- m2cgen (πŸ₯ˆ25 Β· ⭐ 2.7K Β· πŸ’€) - Transform ML models into a native code (Java, C, Python, Go,.. MIT +- cortex (πŸ₯‰23 Β· ⭐ 8K Β· πŸ’€) - Production infrastructure for machine learning at scale. Apache-2 - sklearn-porter (πŸ₯‰23 Β· ⭐ 1.3K Β· πŸ’€) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 -- cortex (πŸ₯‰22 Β· ⭐ 8K Β· πŸ’€) - Production infrastructure for machine learning at scale. Apache-2 -- Larq Compute Engine (πŸ₯‰20 Β· ⭐ 240) - Highly optimized inference engine for Binarized.. Apache-2 - pytorch2keras (πŸ₯‰19 Β· ⭐ 850 Β· πŸ’€) - PyTorch to Keras model convertor. MIT - OMLT (πŸ₯‰19 Β· ⭐ 250) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3 +- Larq Compute Engine (πŸ₯‰19 Β· ⭐ 240) - Highly optimized inference engine for Binarized.. Apache-2 - modelkit (πŸ₯‰19 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· ⭐ 2.5K Β· πŸ’€) - Reference implementation of the Transformer.. ❗Unlicensed @@ -6060,16 +6045,16 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (πŸ₯‡43 Β· ⭐ 22K) - A game theoretic approach to explain the output of any machine learning model. MIT -- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3.1K Β· πŸ“¦ 17K Β· πŸ“‹ 2.4K - 45% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3.2K Β· πŸ“¦ 17K Β· πŸ“‹ 2.4K - 45% open Β· ⏱️ 03.05.2024): ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 7.2M / month Β· πŸ“¦ 490 Β· ⏱️ 08.03.2024): +- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 7M / month Β· πŸ“¦ 670 Β· ⏱️ 07.05.2024): ``` pip install shap ``` -- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 2.7M Β· ⏱️ 03.04.2024): +- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 2.7M Β· ⏱️ 08.05.2024): ``` conda install -c conda-forge shap ``` @@ -6081,7 +6066,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/arviz-devs/arviz ``` -- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 2.2M / month Β· πŸ“¦ 180 Β· ⏱️ 05.04.2024): +- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 2.1M / month Β· πŸ“¦ 280 Β· ⏱️ 05.04.2024): ``` pip install arviz ``` @@ -6090,38 +6075,54 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge arviz ```
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Netron (πŸ₯‡33 Β· ⭐ 26K) - Visualizer for neural network, deep learning and machine learning.. MIT +
Netron (πŸ₯‡34 Β· ⭐ 26K) - Visualizer for neural network, deep learning and machine learning.. MIT -- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.7K Β· πŸ“₯ 68K Β· πŸ“¦ 12 Β· πŸ“‹ 1.1K - 2% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.7K Β· πŸ“₯ 62K Β· πŸ“¦ 12 Β· πŸ“‹ 1.1K - 2% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 25K / month Β· πŸ“¦ 75 Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 24K / month Β· πŸ“¦ 78 Β· ⏱️ 04.05.2024): ``` pip install netron ```
InterpretML (πŸ₯‡33 Β· ⭐ 6K) - Fit interpretable models. Explain blackbox machine learning. MIT -- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 710 Β· πŸ“¦ 670 Β· πŸ“‹ 430 - 22% open Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 710 Β· πŸ“¦ 670 Β· πŸ“‹ 430 - 23% open Β· ⏱️ 05.05.2024): ``` git clone https://github.com/interpretml/interpret ``` -- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 83K / month Β· πŸ“¦ 32 Β· ⏱️ 14.04.2024): +- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 83K / month Β· πŸ“¦ 43 Β· ⏱️ 14.04.2024): ``` pip install interpret ```
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explainerdashboard (πŸ₯‡32 Β· ⭐ 2.2K) - Quickly build Explainable AI dashboards that show the inner.. MIT +
Captum (πŸ₯‡33 Β· ⭐ 4.6K Β· πŸ“ˆ) - Model interpretability and understanding for PyTorch. BSD-3 + +- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 460 Β· πŸ“¦ 2K Β· πŸ“‹ 550 - 39% open Β· ⏱️ 07.05.2024): + + ``` + git clone https://github.com/pytorch/captum + ``` +- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 220K / month Β· πŸ“¦ 110 Β· ⏱️ 05.12.2023): + ``` + pip install captum + ``` +- [Conda](https://anaconda.org/conda-forge/captum) (πŸ“₯ 25K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge captum + ``` +
+
explainerdashboard (πŸ₯ˆ32 Β· ⭐ 2.2K) - Quickly build Explainable AI dashboards that show the inner.. MIT - [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 320 Β· πŸ“¦ 480 Β· πŸ“‹ 240 - 14% open Β· ⏱️ 18.03.2024): ``` git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 85K / month Β· πŸ“¦ 10 Β· ⏱️ 18.03.2024): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 84K / month Β· πŸ“¦ 10 Β· ⏱️ 18.03.2024): ``` pip install explainerdashboard ``` @@ -6130,48 +6131,44 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge explainerdashboard ```
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evaluate (πŸ₯‡32 Β· ⭐ 1.8K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 +
evaluate (πŸ₯ˆ32 Β· ⭐ 1.8K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 -- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 220 Β· πŸ“¦ 8.7K Β· πŸ“‹ 310 - 57% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 220 Β· πŸ“¦ 8.9K Β· πŸ“‹ 310 - 57% open Β· ⏱️ 30.04.2024): ``` git clone https://github.com/huggingface/evaluate ``` -- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 2.7M / month Β· πŸ“¦ 220 Β· ⏱️ 30.04.2024): +- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 2.8M / month Β· πŸ“¦ 330 Β· ⏱️ 30.04.2024): ``` pip install evaluate ```
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Captum (πŸ₯ˆ31 Β· ⭐ 4.6K Β· πŸ“‰) - Model interpretability and understanding for PyTorch. BSD-3 +
DoWhy (πŸ₯ˆ30 Β· ⭐ 6.8K) - DoWhy is a Python library for causal inference that supports explicit.. MIT -- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 470 Β· πŸ“‹ 540 - 38% open Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 900 Β· πŸ“₯ 34 Β· πŸ“¦ 360 Β· πŸ“‹ 440 - 28% open Β· ⏱️ 07.05.2024): ``` - git clone https://github.com/pytorch/captum + git clone https://github.com/py-why/dowhy ``` -- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 220K / month Β· πŸ“¦ 67 Β· ⏱️ 05.12.2023): +- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 50K / month Β· πŸ“¦ 7 Β· ⏱️ 25.12.2023): ``` - pip install captum + pip install dowhy ``` -- [Conda](https://anaconda.org/conda-forge/captum) (πŸ“₯ 24K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dowhy) (πŸ“₯ 20K Β· ⏱️ 26.01.2024): ``` - conda install -c conda-forge captum + conda install -c conda-forge dowhy ```
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DoWhy (πŸ₯ˆ30 Β· ⭐ 6.8K) - DoWhy is a Python library for causal inference that supports explicit.. MIT +
shapash (πŸ₯ˆ30 Β· ⭐ 2.6K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 -- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 900 Β· πŸ“₯ 33 Β· πŸ“¦ 360 Β· πŸ“‹ 440 - 28% open Β· ⏱️ 22.04.2024): +- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 320 Β· πŸ“¦ 160 Β· πŸ“‹ 190 - 17% open Β· ⏱️ 06.05.2024): ``` - git clone https://github.com/py-why/dowhy - ``` -- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 48K / month Β· πŸ“¦ 7 Β· ⏱️ 25.12.2023): - ``` - pip install dowhy + git clone https://github.com/MAIF/shapash ``` -- [Conda](https://anaconda.org/conda-forge/dowhy) (πŸ“₯ 20K Β· ⏱️ 26.01.2024): +- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 7.4K / month Β· πŸ“¦ 4 Β· ⏱️ 06.05.2024): ``` - conda install -c conda-forge dowhy + pip install shapash ```
pyLDAvis (πŸ₯ˆ30 Β· ⭐ 1.8K) - Python library for interactive topic model visualization. Port of.. BSD-3 @@ -6181,7 +6178,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/bmabey/pyLDAvis ``` -- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 170K / month Β· πŸ“¦ 160 Β· ⏱️ 23.04.2023): +- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 160K / month Β· πŸ“¦ 98 Β· ⏱️ 23.04.2023): ``` pip install pyldavis ``` @@ -6190,32 +6187,36 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge pyldavis ```
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shapash (πŸ₯ˆ29 Β· ⭐ 2.6K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 +
Fairness 360 (πŸ₯ˆ29 Β· ⭐ 2.3K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 -- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 320 Β· πŸ“¦ 150 Β· πŸ“‹ 190 - 18% open Β· ⏱️ 26.04.2024): +- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 810 Β· πŸ“¦ 410 Β· πŸ“‹ 290 - 64% open Β· ⏱️ 08.04.2024): ``` - git clone https://github.com/MAIF/shapash + git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 7.2K / month Β· πŸ“¦ 2 Β· ⏱️ 12.03.2024): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 44K / month Β· πŸ“¦ 17 Β· ⏱️ 08.04.2024): ``` - pip install shapash + pip install aif360 + ``` +- [Conda](https://anaconda.org/conda-forge/aif360) (πŸ“₯ 9.8K Β· ⏱️ 09.04.2024): + ``` + conda install -c conda-forge aif360 ```
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Fairness 360 (πŸ₯ˆ29 Β· ⭐ 2.3K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 +
fairlearn (πŸ₯ˆ29 Β· ⭐ 1.8K) - A Python package to assess and improve fairness of machine.. MIT -- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 810 Β· πŸ“¦ 410 Β· πŸ“‹ 290 - 64% open Β· ⏱️ 08.04.2024): +- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 390 Β· πŸ“¦ 3 Β· πŸ“‹ 460 - 36% open Β· ⏱️ 04.04.2024): ``` - git clone https://github.com/Trusted-AI/AIF360 + git clone https://github.com/fairlearn/fairlearn ``` -- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 27K / month Β· πŸ“¦ 17 Β· ⏱️ 08.04.2024): +- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 290K / month Β· πŸ“¦ 50 Β· ⏱️ 19.12.2023): ``` - pip install aif360 + pip install fairlearn ``` -- [Conda](https://anaconda.org/conda-forge/aif360) (πŸ“₯ 9.5K Β· ⏱️ 09.04.2024): +- [Conda](https://anaconda.org/conda-forge/fairlearn) (πŸ“₯ 32K Β· ⏱️ 20.12.2023): ``` - conda install -c conda-forge aif360 + conda install -c conda-forge fairlearn ```
Model Analysis (πŸ₯ˆ29 Β· ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2 @@ -6225,31 +6226,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/tensorflow/model-analysis ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 74K / month Β· πŸ“¦ 23 Β· ⏱️ 25.04.2024): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 76K / month Β· πŸ“¦ 23 Β· ⏱️ 25.04.2024): ``` pip install tensorflow-model-analysis ```
responsible-ai-widgets (πŸ₯ˆ29 Β· ⭐ 1.2K) - Responsible AI Toolbox is a suite of tools providing.. MIT -- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 320 Β· πŸ“¦ 97 Β· πŸ“‹ 310 - 27% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 320 Β· πŸ“¦ 98 Β· πŸ“‹ 310 - 27% open Β· ⏱️ 03.05.2024): ``` git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 3.7K / month Β· πŸ“¦ 3 Β· ⏱️ 18.04.2024): +- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 4K / month Β· πŸ“¦ 6 Β· ⏱️ 18.04.2024): ``` pip install raiwidgets ```
LIT (πŸ₯ˆ28 Β· ⭐ 3.4K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2 -- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 340 Β· πŸ“¦ 31 Β· πŸ“‹ 180 - 53% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 340 Β· πŸ“¦ 32 Β· πŸ“‹ 180 - 53% open Β· ⏱️ 17.04.2024): ``` git clone https://github.com/PAIR-code/lit ``` -- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 5.4K / month Β· πŸ“¦ 2 Β· ⏱️ 09.04.2024): +- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 4.5K / month Β· πŸ“¦ 2 Β· ⏱️ 09.04.2024): ``` pip install lit-nlp ``` @@ -6269,27 +6270,11 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` pip install dtreeviz ``` -- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 68K Β· ⏱️ 13.07.2023): +- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 69K Β· ⏱️ 13.07.2023): ``` conda install -c conda-forge dtreeviz ```
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fairlearn (πŸ₯ˆ28 Β· ⭐ 1.8K) - A Python package to assess and improve fairness of machine.. MIT - -- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 380 Β· πŸ“¦ 3 Β· πŸ“‹ 460 - 35% open Β· ⏱️ 04.04.2024): - - ``` - git clone https://github.com/fairlearn/fairlearn - ``` -- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 270K / month Β· πŸ“¦ 29 Β· ⏱️ 19.12.2023): - ``` - pip install fairlearn - ``` -- [Conda](https://anaconda.org/conda-forge/fairlearn) (πŸ“₯ 32K Β· ⏱️ 20.12.2023): - ``` - conda install -c conda-forge fairlearn - ``` -
yellowbrick (πŸ₯ˆ27 Β· ⭐ 4.2K Β· πŸ’€) - Visual analysis and diagnostic tools to facilitate.. Apache-2 - [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 550 Β· πŸ“‹ 700 - 12% open Β· ⏱️ 05.07.2023): @@ -6297,7 +6282,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/DistrictDataLabs/yellowbrick ``` -- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 590K / month Β· πŸ“¦ 89 Β· ⏱️ 21.08.2022): +- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 570K / month Β· πŸ“¦ 91 Β· ⏱️ 21.08.2022): ``` pip install yellowbrick ``` @@ -6308,12 +6293,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
imodels (πŸ₯ˆ27 Β· ⭐ 1.3K) - Interpretable ML package for concise, transparent, and accurate.. MIT -- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“¦ 71 Β· πŸ“‹ 84 - 38% open Β· ⏱️ 22.04.2024): +- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“¦ 72 Β· πŸ“‹ 84 - 38% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 56K / month Β· πŸ“¦ 7 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 48K / month Β· πŸ“¦ 7 Β· ⏱️ 11.03.2024): ``` pip install imodels ``` @@ -6325,31 +6310,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/dssg/aequitas ``` -- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 16K / month Β· πŸ“¦ 7 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 32K / month Β· πŸ“¦ 7 Β· ⏱️ 30.01.2024): ``` pip install aequitas ```
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CausalNex (πŸ₯‰25 Β· ⭐ 2.1K) - A Python library that helps data scientists to infer.. Apache-2 +
CausalNex (πŸ₯‰25 Β· ⭐ 2.2K) - A Python library that helps data scientists to infer.. Apache-2 - [GitHub](https://github.com/mckinsey/causalnex) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 250 Β· πŸ“¦ 110 Β· πŸ“‹ 140 - 14% open Β· ⏱️ 10.02.2024): ``` git clone https://github.com/quantumblacklabs/causalnex ``` -- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 3.1K / month Β· πŸ“¦ 3 Β· ⏱️ 22.06.2023): +- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 3K / month Β· πŸ“¦ 4 Β· ⏱️ 22.06.2023): ``` pip install causalnex ```
checklist (πŸ₯‰24 Β· ⭐ 2K Β· πŸ’€) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT -- [GitHub](https://github.com/marcotcr/checklist) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 200 Β· πŸ“¦ 340 Β· πŸ“‹ 120 - 29% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/marcotcr/checklist) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 200 Β· πŸ“¦ 340 Β· πŸ“‹ 94 - 11% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/marcotcr/checklist ``` -- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 2.4K / month Β· πŸ“¦ 7 Β· ⏱️ 24.05.2021): +- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 1.8K / month Β· πŸ“¦ 8 Β· ⏱️ 24.05.2021): ``` pip install checklist ``` @@ -6360,24 +6345,24 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
iNNvestigate (πŸ₯‰24 Β· ⭐ 1.2K Β· πŸ’€) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 -- [GitHub](https://github.com/albermax/innvestigate) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“₯ 100 Β· πŸ“¦ 120 Β· πŸ“‹ 260 - 21% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/albermax/innvestigate) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“₯ 100 Β· πŸ“¦ 130 Β· πŸ“‹ 260 - 21% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/albermax/innvestigate ``` -- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 740 / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 730 / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2023): ``` pip install innvestigate ```
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“¦ 87 Β· πŸ“‹ 84 - 64% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 300 Β· πŸ“¦ 88 Β· πŸ“‹ 84 - 64% open Β· ⏱️ 05.03.2024): ``` git clone https://github.com/Trusted-AI/AIX360 ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 850 / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 890 / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): ``` pip install aix360 ``` @@ -6389,19 +6374,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/philipperemy/keract ``` -- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 3.9K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): +- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 3.8K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): ``` pip install keract ```
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What-If Tool (πŸ₯‰22 Β· ⭐ 880) - Source code/webpage/demos for the What-If Tool. Apache-2 +
What-If Tool (πŸ₯‰22 Β· ⭐ 890) - 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· ⏱️ 01.02.2024): ``` git clone https://github.com/PAIR-code/what-if-tool ``` -- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 5.9K / month Β· πŸ“¦ 4 Β· ⏱️ 12.10.2021): +- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 5.4K / month Β· πŸ“¦ 4 Β· ⏱️ 12.10.2021): ``` pip install witwidget ``` @@ -6421,7 +6406,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/jalammar/ecco ``` -- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 380 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): +- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 370 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): ``` pip install ecco ``` @@ -6437,7 +6422,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/interpretml/DiCE ``` -- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 59K / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2023): +- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 57K / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2023): ``` pip install dice-ml ``` @@ -6449,7 +6434,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/tensorflow/model-card-toolkit ``` -- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 1.6K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 1.5K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install model-card-toolkit ``` @@ -6461,7 +6446,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/tensorflow/fairness-indicators ``` -- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 1.6K / month Β· ⏱️ 26.04.2024): +- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 1.5K / month Β· ⏱️ 26.04.2024): ``` pip install fairness-indicators ``` @@ -6473,7 +6458,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/aerdem4/lofo-importance ``` -- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 3.9K / month Β· πŸ“¦ 4 Β· ⏱️ 16.01.2024): +- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 4K / month Β· πŸ“¦ 4 Β· ⏱️ 16.01.2024): ``` pip install lofo-importance ``` @@ -6485,31 +6470,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/explainX/explainx ``` -- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 1.2K / month Β· ⏱️ 04.02.2021): +- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 1.3K / month Β· ⏱️ 04.02.2021): ``` pip install explainx ```
FlashTorch (πŸ₯‰16 Β· ⭐ 720 Β· πŸ’€) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT -- [GitHub](https://github.com/MisaOgura/flashtorch) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 87 Β· πŸ“¦ 16 Β· πŸ“‹ 32 - 31% open Β· ⏱️ 21.09.2023): +- [GitHub](https://github.com/MisaOgura/flashtorch) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 87 Β· πŸ“¦ 17 Β· πŸ“‹ 32 - 31% open Β· ⏱️ 21.09.2023): ``` git clone https://github.com/MisaOgura/flashtorch ``` -- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 370 / month Β· ⏱️ 29.05.2020): +- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 360 / month Β· ⏱️ 29.05.2020): ``` pip install flashtorch ```
-
interpret-text (πŸ₯‰13 Β· ⭐ 400) - A library that incorporates state-of-the-art explainers for.. MIT +
interpret-text (πŸ₯‰14 Β· ⭐ 400) - A library that incorporates state-of-the-art explainers for.. MIT - [GitHub](https://github.com/interpretml/interpret-text) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 67 Β· πŸ“‹ 100 - 84% open Β· ⏱️ 05.02.2024): ``` git clone https://github.com/interpretml/interpret-text ``` -- [PyPi](https://pypi.org/project/interpret-text) (πŸ“₯ 110 / month Β· ⏱️ 07.12.2021): +- [PyPi](https://pypi.org/project/interpret-text) (πŸ“₯ 120 / month Β· ⏱️ 07.12.2021): ``` pip install interpret-text ``` @@ -6519,7 +6504,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - Lime (πŸ₯‡33 Β· ⭐ 11K Β· πŸ’€) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 - scikit-plot (πŸ₯ˆ29 Β· ⭐ 2.4K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT - Alibi (πŸ₯ˆ29 Β· ⭐ 2.3K) - Algorithms for explaining machine learning models. ❗️Intel -- Deep Checks (πŸ₯ˆ28 Β· ⭐ 3.4K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 +- Deep Checks (πŸ₯ˆ27 Β· ⭐ 3.4K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 - DALEX (πŸ₯ˆ27 Β· ⭐ 1.3K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - eli5 (πŸ₯‰26 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT - keras-vis (πŸ₯‰25 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT @@ -6534,9 +6519,9 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - sklearn-evaluation (πŸ₯‰18 Β· ⭐ 430 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT - Anchor (πŸ₯‰16 Β· ⭐ 780 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 - Skater (πŸ₯‰14 Β· ⭐ 1.1K Β· πŸ’€) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 -- contextual-ai (πŸ₯‰13 Β· ⭐ 85 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2 +- bias-detector (πŸ₯‰13 Β· ⭐ 42 Β· πŸ“ˆ) - Bias Detector is a python package for detecting bias in machine.. MIT - Attribution Priors (πŸ₯‰12 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT -- bias-detector (πŸ₯‰11 Β· ⭐ 42) - Bias Detector is a python package for detecting bias in machine.. MIT +- contextual-ai (πŸ₯‰12 Β· ⭐ 85 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2

@@ -6550,32 +6535,32 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Milvus (πŸ₯‡41 Β· ⭐ 27K) - A cloud-native vector database, storage for next generation AI.. Apache-2 -- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.6K Β· πŸ“₯ 210K Β· πŸ“‹ 11K - 6% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.6K Β· πŸ“₯ 220K Β· πŸ“‹ 11K - 6% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/milvus-io/milvus ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 550K / month Β· πŸ“¦ 96 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 510K / month Β· πŸ“¦ 120 Β· ⏱️ 29.04.2024): ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 14M Β· ⭐ 43 Β· ⏱️ 30.04.2024): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 15M Β· ⭐ 43 Β· ⏱️ 09.05.2024): ``` docker pull milvusdb/milvus ```
Faiss (πŸ₯‡39 Β· ⭐ 28K) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 3.4K Β· πŸ“¦ 3.6K Β· πŸ“‹ 2.4K - 19% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 3.4K Β· πŸ“¦ 3.6K Β· πŸ“‹ 2.4K - 18% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/facebookresearch/faiss ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 550K / month Β· πŸ“¦ 96 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 510K / month Β· πŸ“¦ 120 Β· ⏱️ 29.04.2024): ``` pip install pymilvus ``` -- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 1.1M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 1.2M Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge faiss ``` @@ -6587,11 +6572,11 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/spotify/annoy ``` -- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 1.3M / month Β· πŸ“¦ 290 Β· ⏱️ 14.06.2023): +- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 1.3M / month Β· πŸ“¦ 180 Β· ⏱️ 14.06.2023): ``` pip install annoy ``` -- [Conda](https://anaconda.org/conda-forge/python-annoy) (πŸ“₯ 400K Β· ⏱️ 02.05.2024): +- [Conda](https://anaconda.org/conda-forge/python-annoy) (πŸ“₯ 410K Β· ⏱️ 02.05.2024): ``` conda install -c conda-forge python-annoy ``` @@ -6603,7 +6588,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 820K / month Β· πŸ“¦ 66 Β· ⏱️ 03.12.2023): +- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 890K / month Β· πŸ“¦ 66 Β· ⏱️ 03.12.2023): ``` pip install hnswlib ``` @@ -6612,18 +6597,18 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge hnswlib ```
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USearch (πŸ₯‰30 Β· ⭐ 1.7K Β· πŸ“ˆ) - Fast Open-Source Search & Clustering engine for Vectors &.. Apache-2 +
USearch (πŸ₯‰30 Β· ⭐ 1.7K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2 -- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 89 Β· πŸ“₯ 1.2K Β· πŸ“¦ 68 Β· πŸ“‹ 100 - 32% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 89 Β· πŸ“₯ 1.2K Β· πŸ“¦ 69 Β· πŸ“‹ 110 - 31% open Β· ⏱️ 29.04.2024): ``` git clone https://github.com/unum-cloud/usearch ``` -- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 62K / month Β· πŸ“¦ 6 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 69K / month Β· πŸ“¦ 6 Β· ⏱️ 29.04.2024): ``` pip install usearch ``` -- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 6.4K / month Β· πŸ“¦ 10 Β· ⏱️ 10.04.2024): +- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 6.1K / month Β· πŸ“¦ 14 Β· ⏱️ 10.04.2024): ``` npm install usearch ``` @@ -6634,12 +6619,12 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
PyNNDescent (πŸ₯‰29 Β· ⭐ 840) - 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“¦ 6.2K Β· πŸ“‹ 140 - 52% open Β· ⏱️ 29.03.2024): +- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 100 Β· πŸ“¦ 6.3K Β· πŸ“‹ 140 - 52% open Β· ⏱️ 29.03.2024): ``` git clone https://github.com/lmcinnes/pynndescent ``` -- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 1.2M / month Β· πŸ“¦ 80 Β· ⏱️ 29.03.2024): +- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 1.3M / month Β· πŸ“¦ 140 Β· ⏱️ 29.03.2024): ``` pip install pynndescent ``` @@ -6655,7 +6640,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/yahoojapan/NGT ``` -- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 5.9K / month Β· πŸ“¦ 8 Β· ⏱️ 06.12.2023): +- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 6.1K / month Β· πŸ“¦ 8 Β· ⏱️ 06.12.2023): ``` pip install ngt ``` @@ -6667,7 +6652,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/kakao/n2 ``` -- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 310 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): +- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 300 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): ``` pip install n2 ``` @@ -6689,12 +6674,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (πŸ₯‡41 Β· ⭐ 8.2K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2 -- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 1.9K Β· πŸ“₯ 1.9K Β· πŸ“¦ 3.2K Β· πŸ“‹ 3.3K - 8% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 1.9K Β· πŸ“₯ 1.9K Β· πŸ“¦ 3.2K Β· πŸ“‹ 3.3K - 8% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/pymc-devs/pymc ``` -- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 880K / month Β· πŸ“¦ 250 Β· ⏱️ 15.03.2022): +- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 850K / month Β· πŸ“¦ 190 Β· ⏱️ 15.03.2022): ``` pip install pymc3 ``` @@ -6705,28 +6690,28 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
tensorflow-probability (πŸ₯‡38 Β· ⭐ 4.1K) - 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 - 47% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 1.1K Β· πŸ“‹ 1.4K - 47% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/tensorflow/probability ``` -- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 3.5M / month Β· πŸ“¦ 550 Β· ⏱️ 12.03.2024): +- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 3.8M / month Β· πŸ“¦ 560 Β· ⏱️ 12.03.2024): ``` pip install tensorflow-probability ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (πŸ“₯ 120K Β· ⏱️ 09.01.2024): +- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (πŸ“₯ 130K Β· ⏱️ 09.01.2024): ``` conda install -c conda-forge tensorflow-probability ```
Pyro (πŸ₯‡34 Β· ⭐ 8.4K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 -- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 990 Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 23.04.2024): +- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 990 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/pyro-ppl/pyro ``` -- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 270K / month Β· πŸ“¦ 120 Β· ⏱️ 19.02.2024): +- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 270K / month Β· πŸ“¦ 170 Β· ⏱️ 19.02.2024): ``` pip install pyro-ppl ``` @@ -6737,28 +6722,28 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pgmpy (πŸ₯ˆ32 Β· ⭐ 2.6K) - Python Library for learning (Structure and Parameter), inference.. MIT -- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 690 Β· πŸ“₯ 340 Β· πŸ“¦ 930 Β· πŸ“‹ 900 - 30% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 690 Β· πŸ“₯ 340 Β· πŸ“¦ 950 Β· πŸ“‹ 900 - 30% open Β· ⏱️ 30.04.2024): ``` git clone https://github.com/pgmpy/pgmpy ``` -- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 52K / month Β· πŸ“¦ 590 Β· ⏱️ 08.03.2024): +- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 52K / month Β· πŸ“¦ 43 Β· ⏱️ 08.03.2024): ``` pip install pgmpy ```
GPyTorch (πŸ₯ˆ31 Β· ⭐ 3.4K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT -- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 540 Β· πŸ“¦ 2K Β· πŸ“‹ 1.3K - 26% open Β· ⏱️ 22.04.2024): +- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 540 Β· πŸ“¦ 2.1K Β· πŸ“‹ 1.3K - 26% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/cornellius-gp/gpytorch ``` -- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 180K / month Β· πŸ“¦ 98 Β· ⏱️ 02.06.2023): +- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 190K / month Β· πŸ“¦ 150 Β· ⏱️ 02.06.2023): ``` pip install gpytorch ``` -- [Conda](https://anaconda.org/conda-forge/gpytorch) (πŸ“₯ 150K Β· ⏱️ 11.08.2023): +- [Conda](https://anaconda.org/conda-forge/gpytorch) (πŸ“₯ 160K Β· ⏱️ 11.08.2023): ``` conda install -c conda-forge gpytorch ``` @@ -6770,7 +6755,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/hmmlearn/hmmlearn ``` -- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 180K / month Β· πŸ“¦ 150 Β· ⏱️ 02.03.2024): +- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 170K / month Β· πŸ“¦ 76 Β· ⏱️ 02.03.2024): ``` pip install hmmlearn ``` @@ -6786,7 +6771,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/dfm/emcee ``` -- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 160K / month Β· πŸ“¦ 390 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 170K / month Β· πŸ“¦ 390 Β· ⏱️ 19.04.2024): ``` pip install emcee ``` @@ -6797,12 +6782,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
patsy (πŸ₯ˆ31 Β· ⭐ 920) - Describing statistical models in Python using symbolic formulas. BSD-2 -- [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 110 Β· πŸ“¦ 95K Β· πŸ“‹ 150 - 47% open Β· ⏱️ 04.01.2024): +- [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 100 Β· πŸ“¦ 95K Β· πŸ“‹ 150 - 47% open Β· ⏱️ 04.01.2024): ``` git clone https://github.com/pydata/patsy ``` -- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 16M / month Β· πŸ“¦ 2.8K Β· ⏱️ 04.01.2024): +- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 16M / month Β· πŸ“¦ 480 Β· ⏱️ 04.01.2024): ``` pip install patsy ``` @@ -6818,7 +6803,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/SALib/SALib ``` -- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 170K / month Β· πŸ“¦ 120 Β· ⏱️ 22.04.2024): +- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 180K / month Β· πŸ“¦ 120 Β· ⏱️ 22.04.2024): ``` pip install salib ``` @@ -6834,7 +6819,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/jmschrei/pomegranate ``` -- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 42K / month Β· πŸ“¦ 54 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 41K / month Β· πŸ“¦ 54 Β· ⏱️ 11.03.2024): ``` pip install pomegranate ``` @@ -6845,12 +6830,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
GPflow (πŸ₯‰29 Β· ⭐ 1.8K) - Gaussian processes in TensorFlow. Apache-2 -- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 440 Β· πŸ“¦ 640 Β· πŸ“‹ 830 - 17% open Β· ⏱️ 07.02.2024): +- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 440 Β· πŸ“¦ 650 Β· πŸ“‹ 830 - 17% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/GPflow/GPflow ``` -- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 38K / month Β· πŸ“¦ 37 Β· ⏱️ 07.02.2024): +- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 46K / month Β· πŸ“¦ 37 Β· ⏱️ 07.02.2024): ``` pip install gpflow ``` @@ -6866,7 +6851,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/stan-dev/pystan ``` -- [PyPi](https://pypi.org/project/pystan) (πŸ“₯ 1.9M / month Β· πŸ“¦ 260 Β· ⏱️ 12.04.2024): +- [PyPi](https://pypi.org/project/pystan) (πŸ“₯ 1.9M / month Β· πŸ“¦ 160 Β· ⏱️ 12.04.2024): ``` pip install pystan ``` @@ -6877,24 +6862,24 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Orbit (πŸ₯‰26 Β· ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 53 Β· πŸ“‹ 400 - 12% open Β· ⏱️ 31.03.2024): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 54 Β· πŸ“‹ 400 - 12% open Β· ⏱️ 31.03.2024): ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 23K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 22K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): ``` pip install orbit-ml ```
bambi (πŸ₯‰26 Β· ⭐ 1K) - BAyesian Model-Building Interface (Bambi) in Python. MIT -- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 120 Β· πŸ“¦ 120 Β· πŸ“‹ 390 - 17% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 120 Β· πŸ“¦ 120 Β· πŸ“‹ 400 - 17% open Β· ⏱️ 02.05.2024): ``` git clone https://github.com/bambinos/bambi ``` -- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 22K / month Β· πŸ“¦ 9 Β· ⏱️ 25.10.2023): +- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 21K / month Β· πŸ“¦ 10 Β· ⏱️ 25.10.2023): ``` pip install bambi ``` @@ -6905,12 +6890,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
scikit-posthocs (πŸ₯‰25 Β· ⭐ 320) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT -- [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 39 Β· πŸ“₯ 45 Β· πŸ“¦ 680 Β· πŸ“‹ 54 - 11% open Β· ⏱️ 18.02.2024): +- [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 39 Β· πŸ“₯ 46 Β· πŸ“¦ 680 Β· πŸ“‹ 54 - 11% open Β· ⏱️ 18.02.2024): ``` git clone https://github.com/maximtrp/scikit-posthocs ``` -- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 90K / month Β· πŸ“¦ 32 Β· ⏱️ 18.02.2024): +- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 85K / month Β· πŸ“¦ 46 Β· ⏱️ 18.02.2024): ``` pip install scikit-posthocs ``` @@ -6926,7 +6911,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/baal-org/baal ``` -- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 2K / month Β· πŸ“¦ 1 Β· ⏱️ 04.04.2024): +- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 4.5K / month Β· πŸ“¦ 1 Β· ⏱️ 04.04.2024): ``` pip install baal ``` @@ -6955,12 +6940,12 @@ _Libraries for testing the robustness of machine learning models against attacks
ART (πŸ₯‡34 Β· ⭐ 4.5K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT -- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.1K Β· πŸ“¦ 510 Β· πŸ“‹ 900 - 16% open Β· ⏱️ 20.04.2024): +- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.1K Β· πŸ“¦ 510 Β· πŸ“‹ 900 - 16% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox ``` -- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 27K / month Β· πŸ“¦ 11 Β· ⏱️ 17.02.2024): +- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 28K / month Β· πŸ“¦ 11 Β· ⏱️ 17.02.2024): ``` pip install adversarial-robustness-toolbox ``` @@ -6971,12 +6956,12 @@ _Libraries for testing the robustness of machine learning models against attacks
TextAttack (πŸ₯ˆ30 Β· ⭐ 2.8K) - TextAttack is a Python framework for adversarial attacks, data.. MIT -- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 370 Β· πŸ“¦ 250 Β· πŸ“‹ 270 - 18% open Β· ⏱️ 31.03.2024): +- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 370 Β· πŸ“¦ 250 Β· πŸ“‹ 270 - 19% open Β· ⏱️ 31.03.2024): ``` git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 6.4K / month Β· πŸ“¦ 6 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 5.6K / month Β· πŸ“¦ 6 Β· ⏱️ 11.03.2024): ``` pip install textattack ``` @@ -7020,12 +7005,12 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
CuPy (πŸ₯‡38 Β· ⭐ 7.8K) - NumPy & SciPy for GPU. MIT -- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 760 Β· πŸ“₯ 170K Β· πŸ“¦ 2K Β· πŸ“‹ 2.2K - 25% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 770 Β· πŸ“₯ 170K Β· πŸ“¦ 2K Β· πŸ“‹ 2.2K - 25% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/cupy/cupy ``` -- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 24K / month Β· πŸ“¦ 220 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 24K / month Β· πŸ“¦ 210 Β· ⏱️ 19.04.2024): ``` pip install cupy ``` @@ -7040,45 +7025,61 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
optimum (πŸ₯‡34 Β· ⭐ 2.2K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 -- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 370 Β· πŸ“¦ 2.3K Β· πŸ“‹ 730 - 45% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 370 Β· πŸ“¦ 2.3K Β· πŸ“‹ 740 - 46% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/huggingface/optimum ``` -- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 1.1M / month Β· πŸ“¦ 81 Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 1.1M / month Β· πŸ“¦ 130 Β· ⏱️ 09.05.2024): ``` pip install optimum ``` -- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 13K Β· ⏱️ 25.04.2024): +- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 14K Β· ⏱️ 09.05.2024): ``` conda install -c conda-forge optimum ```
cuDF (πŸ₯ˆ33 Β· ⭐ 7.3K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 830 Β· πŸ“¦ 53 Β· πŸ“‹ 6.2K - 17% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 840 Β· πŸ“¦ 53 Β· πŸ“‹ 6.2K - 17% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/rapidsai/cudf ``` -- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 3K / month Β· πŸ“¦ 11 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 3K / month Β· πŸ“¦ 17 Β· ⏱️ 01.06.2020): ``` pip install cudf ```
-
cuML (πŸ₯ˆ30 Β· ⭐ 3.9K) - cuML - RAPIDS Machine Learning Library. Apache-2 +
cuML (πŸ₯ˆ31 Β· ⭐ 3.9K) - cuML - RAPIDS Machine Learning Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 500 Β· πŸ“‹ 2.5K - 35% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 500 Β· πŸ“‹ 2.5K - 35% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/rapidsai/cuml ``` -- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 2.7K / month Β· πŸ“¦ 7 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 2.7K / month Β· πŸ“¦ 13 Β· ⏱️ 01.06.2020): ``` pip install cuml ```
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Apex (πŸ₯ˆ29 Β· ⭐ 8K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 +
PyCUDA (πŸ₯ˆ30 Β· ⭐ 1.8K) - CUDA integration for Python, plus shiny features. MIT + +- [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 280 Β· πŸ“¦ 2.8K Β· πŸ“‹ 260 - 30% open Β· ⏱️ 08.05.2024): + + ``` + git clone https://github.com/inducer/pycuda + ``` +- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 44K / month Β· πŸ“¦ 130 Β· ⏱️ 03.01.2024): + ``` + pip install pycuda + ``` +- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 310K Β· ⏱️ 06.01.2024): + ``` + conda install -c conda-forge pycuda + ``` +
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Apex (πŸ₯ˆ29 Β· ⭐ 8.1K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 - [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.3K Β· πŸ“¦ 2.4K Β· πŸ“‹ 1.2K - 57% open Β· ⏱️ 26.04.2024): @@ -7092,12 +7093,12 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
gpustat (πŸ₯ˆ29 Β· ⭐ 3.9K) - 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“¦ 5.2K Β· πŸ“‹ 120 - 21% open Β· ⏱️ 12.01.2024): +- [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 270 Β· πŸ“¦ 5.3K Β· πŸ“‹ 120 - 22% open Β· ⏱️ 12.01.2024): ``` git clone https://github.com/wookayin/gpustat ``` -- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 930K / month Β· πŸ“¦ 140 Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 910K / month Β· πŸ“¦ 140 Β· ⏱️ 22.08.2023): ``` pip install gpustat ``` @@ -7106,30 +7107,26 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c conda install -c conda-forge gpustat ```
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PyCUDA (πŸ₯ˆ29 Β· ⭐ 1.7K) - CUDA integration for Python, plus shiny features. MIT +
ArrayFire (πŸ₯ˆ27 Β· ⭐ 4.4K) - ArrayFire: a general purpose GPU library. BSD-3 -- [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 280 Β· πŸ“¦ 2.8K Β· πŸ“‹ 260 - 30% open Β· ⏱️ 03.04.2024): +- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 530 Β· πŸ“₯ 6K Β· πŸ“‹ 1.7K - 20% open Β· ⏱️ 04.04.2024): ``` - git clone https://github.com/inducer/pycuda - ``` -- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 44K / month Β· πŸ“¦ 130 Β· ⏱️ 03.01.2024): - ``` - pip install pycuda + git clone https://github.com/arrayfire/arrayfire ``` -- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 310K Β· ⏱️ 06.01.2024): +- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 1.5K / month Β· πŸ“¦ 10 Β· ⏱️ 22.02.2022): ``` - conda install -c conda-forge pycuda + pip install arrayfire ```
cuGraph (πŸ₯ˆ27 Β· ⭐ 1.6K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 290 Β· πŸ“¦ 2 Β· πŸ“‹ 1.7K - 17% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 290 Β· πŸ“¦ 2 Β· πŸ“‹ 1.7K - 17% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/rapidsai/cugraph ``` -- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 250 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 240 / month Β· πŸ“¦ 4 Β· ⏱️ 01.06.2020): ``` pip install cugraph ``` @@ -7138,21 +7135,9 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c conda install -c conda-forge libcugraph ```
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ArrayFire (πŸ₯‰26 Β· ⭐ 4.4K) - ArrayFire: a general purpose GPU library. BSD-3 - -- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 530 Β· πŸ“₯ 6K Β· πŸ“‹ 1.7K - 20% open Β· ⏱️ 04.04.2024): - - ``` - git clone https://github.com/arrayfire/arrayfire - ``` -- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 1.7K / month Β· πŸ“¦ 9 Β· ⏱️ 22.02.2022): - ``` - pip install arrayfire - ``` -
DALI (πŸ₯‰25 Β· ⭐ 4.9K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 600 Β· πŸ“‹ 1.6K - 13% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 600 Β· πŸ“‹ 1.6K - 13% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/NVIDIA/DALI @@ -7165,7 +7150,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/lebedov/scikit-cuda ``` -- [PyPi](https://pypi.org/project/scikit-cuda) (πŸ“₯ 820 / month Β· πŸ“¦ 50 Β· ⏱️ 27.05.2019): +- [PyPi](https://pypi.org/project/scikit-cuda) (πŸ“₯ 940 / month Β· πŸ“¦ 23 Β· ⏱️ 27.05.2019): ``` pip install scikit-cuda ``` @@ -7177,7 +7162,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 200 / month Β· ⏱️ 20.01.2024): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 190 / month Β· ⏱️ 20.01.2024): ``` pip install kp ``` @@ -7189,7 +7174,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/NVIDIA-Merlin/Merlin ``` -- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 4.3K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 5.4K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): ``` pip install merlin-core ``` @@ -7221,12 +7206,12 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (πŸ₯‡40 Β· ⭐ 4.2K) - 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“¦ 17K Β· πŸ“‹ 1.4K - 48% open Β· ⏱️ 26.04.2024): +- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.5K Β· πŸ“¦ 17K Β· πŸ“‹ 1.4K - 48% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/tensorflow/datasets ``` -- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 3.7M / month Β· πŸ“¦ 300 Β· ⏱️ 18.12.2023): +- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 4.1M / month Β· πŸ“¦ 300 Β· ⏱️ 18.12.2023): ``` pip install tensorflow-datasets ``` @@ -7235,54 +7220,54 @@ _Libraries that extend TensorFlow with additional capabilities._ conda install -c conda-forge tensorflow-datasets ```
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tensorflow-hub (πŸ₯‡35 Β· ⭐ 3.4K) - A library for transfer learning by reusing parts of.. Apache-2 +
tensorflow-hub (πŸ₯‡34 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“‹ 700 - 1% open Β· ⏱️ 08.04.2024): ``` git clone https://github.com/tensorflow/hub ``` -- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 4.2M / month Β· πŸ“¦ 280 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 4.7M / month Β· πŸ“¦ 280 Β· ⏱️ 30.01.2024): ``` pip install tensorflow-hub ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 96K Β· ⏱️ 30.01.2024): +- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 96K Β· ⏱️ 07.05.2024): ``` conda install -c conda-forge tensorflow-hub ```
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TensorFlow I/O (πŸ₯ˆ34 Β· ⭐ 690 Β· πŸ“ˆ) - Dataset, streaming, and file system extensions.. Apache-2 +
TF Addons (πŸ₯ˆ33 Β· ⭐ 1.7K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 -- [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 270 Β· πŸ“‹ 650 - 43% open Β· ⏱️ 24.04.2024): +- [GitHub](https://github.com/tensorflow/addons) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 610 Β· πŸ“¦ 15K Β· πŸ“‹ 980 - 8% open Β· ⏱️ 15.04.2024): ``` - git clone https://github.com/tensorflow/io + git clone https://github.com/tensorflow/addons ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 3.4M / month Β· πŸ“¦ 1.5K Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 1M / month Β· πŸ“¦ 220 Β· ⏱️ 28.11.2023): ``` - pip install tensorflow-io + pip install tensorflow-addons ```
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TF Addons (πŸ₯ˆ33 Β· ⭐ 1.7K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 +
TFX (πŸ₯ˆ32 Β· ⭐ 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 -- [GitHub](https://github.com/tensorflow/addons) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 610 Β· πŸ“¦ 15K Β· πŸ“‹ 980 - 8% open Β· ⏱️ 15.04.2024): +- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 690 Β· πŸ“‹ 1.1K - 21% open Β· ⏱️ 09.05.2024): ``` - git clone https://github.com/tensorflow/addons + git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 1.1M / month Β· πŸ“¦ 220 Β· ⏱️ 28.11.2023): +- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 64K / month Β· πŸ“¦ 14 Β· ⏱️ 29.04.2024): ``` - pip install tensorflow-addons + pip install tfx ```
TF Model Optimization (πŸ₯ˆ32 Β· ⭐ 1.5K) - A toolkit to optimize ML models for deployment for.. Apache-2 -- [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 330 Β· πŸ“¦ 3.7K Β· πŸ“‹ 380 - 56% open Β· ⏱️ 26.04.2024): +- [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 320 Β· πŸ“¦ 3.8K Β· πŸ“‹ 380 - 56% open Β· ⏱️ 02.05.2024): ``` git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 820K / month Β· πŸ“¦ 30 Β· ⏱️ 08.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 800K / month Β· πŸ“¦ 43 Β· ⏱️ 08.02.2024): ``` pip install tensorflow-model-optimization ``` @@ -7294,21 +7279,21 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 860K / month Β· πŸ“¦ 56 Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 930K / month Β· πŸ“¦ 17 Β· ⏱️ 24.04.2024): ``` pip install tensorflow-transform ```
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TFX (πŸ₯‰31 Β· ⭐ 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 +
TensorFlow I/O (πŸ₯ˆ32 Β· ⭐ 690 Β· πŸ“‰) - Dataset, streaming, and file system extensions.. Apache-2 -- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 700 Β· πŸ“‹ 1.1K - 19% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“‹ 650 - 44% open Β· ⏱️ 24.04.2024): ``` - git clone https://github.com/tensorflow/tfx + git clone https://github.com/tensorflow/io ``` -- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 60K / month Β· πŸ“¦ 14 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 3.7M / month Β· πŸ“¦ 60 Β· ⏱️ 01.05.2024): ``` - pip install tfx + pip install tensorflow-io ```
Neural Structured Learning (πŸ₯‰25 Β· ⭐ 980 Β· πŸ’€) - Training neural models with structured signals. Apache-2 @@ -7318,7 +7303,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/neural-structured-learning ``` -- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 19K / month Β· πŸ“¦ 3 Β· ⏱️ 29.07.2022): +- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 17K / month Β· πŸ“¦ 3 Β· ⏱️ 29.07.2022): ``` pip install neural-structured-learning ``` @@ -7330,31 +7315,31 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 16K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 17K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): ``` pip install tensorflow-compression ```
TensorFlow Cloud (πŸ₯‰23 Β· ⭐ 370) - The TensorFlow Cloud repository provides APIs that.. Apache-2 -- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 84 Β· πŸ“¦ 380 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 25.02.2024): +- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 83 Β· πŸ“¦ 390 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 25.02.2024): ``` git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 48K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 50K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): ``` pip install tensorflow-cloud ```
Saliency (πŸ₯‰22 Β· ⭐ 930) - Framework-agnostic implementation for state-of-the-art saliency.. Apache-2 -- [GitHub](https://github.com/PAIR-code/saliency) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 190 Β· πŸ“¦ 81 Β· πŸ“‹ 39 - 30% open Β· ⏱️ 20.03.2024): +- [GitHub](https://github.com/PAIR-code/saliency) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 190 Β· πŸ“¦ 84 Β· πŸ“‹ 39 - 30% open Β· ⏱️ 20.03.2024): ``` git clone https://github.com/PAIR-code/saliency ``` -- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 5.3K / month Β· πŸ“¦ 6 Β· ⏱️ 20.03.2024): +- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 5.4K / month Β· πŸ“¦ 6 Β· ⏱️ 20.03.2024): ``` pip install saliency ``` @@ -7362,7 +7347,7 @@ _Libraries that extend TensorFlow with additional capabilities._
Show 5 hidden projects... - tensor2tensor (πŸ₯ˆ32 Β· ⭐ 15K Β· πŸ’€) - Library of deep learning models and datasets designed.. Apache-2 -- Keras-Preprocessing (πŸ₯‰29 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT +- Keras-Preprocessing (πŸ₯‰28 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT - efficientnet (πŸ₯‰27 Β· ⭐ 2.1K Β· πŸ’€) - Implementation of EfficientNet model. Keras and.. Apache-2 - TensorNets (πŸ₯‰21 Β· ⭐ 1K Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT - tffm (πŸ₯‰18 Β· ⭐ 780 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT @@ -7377,28 +7362,28 @@ _Libraries that extend Jax with additional capabilities._
equinox (πŸ₯‡30 Β· ⭐ 1.8K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2 -- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 120 Β· πŸ“¦ 520 Β· πŸ“‹ 350 - 33% open Β· ⏱️ 20.04.2024): +- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 130 Β· πŸ“¦ 530 Β· πŸ“‹ 350 - 33% open Β· ⏱️ 20.04.2024): ``` git clone https://github.com/patrick-kidger/equinox ``` -- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 250K / month Β· πŸ“¦ 78 Β· ⏱️ 14.04.2024): +- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 260K / month Β· πŸ“¦ 120 Β· ⏱️ 14.04.2024): ``` pip install equinox ```
evojax (πŸ₯‰19 Β· ⭐ 790 Β· πŸ’€) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 -- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 69 Β· πŸ“¦ 19 Β· πŸ“‹ 28 - 39% open Β· ⏱️ 29.08.2023): +- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 69 Β· πŸ“¦ 19 Β· πŸ“‹ 33 - 48% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/google/evojax ``` -- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 700 / month Β· πŸ“¦ 2 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 680 / month Β· πŸ“¦ 5 Β· ⏱️ 29.08.2023): ``` pip install evojax ``` -- [Conda](https://anaconda.org/conda-forge/evojax) (πŸ“₯ 23K Β· ⏱️ 29.08.2023): +- [Conda](https://anaconda.org/conda-forge/evojax) (πŸ“₯ 24K Β· ⏱️ 29.08.2023): ``` conda install -c conda-forge evojax ``` @@ -7426,19 +7411,19 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` pip install imbalanced-learn ``` -- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (πŸ“₯ 550K Β· ⏱️ 31.03.2024): +- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (πŸ“₯ 560K Β· ⏱️ 31.03.2024): ``` conda install -c conda-forge imbalanced-learn ```
scikit-learn-intelex (πŸ₯‡35 Β· ⭐ 1.2K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 -- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 170 Β· πŸ“¦ 11K Β· πŸ“‹ 250 - 28% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 170 Β· πŸ“¦ 11K Β· πŸ“‹ 250 - 27% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 140K / month Β· πŸ“¦ 27 Β· ⏱️ 11.04.2024): +- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 120K / month Β· πŸ“¦ 42 Β· ⏱️ 11.04.2024): ``` pip install scikit-learn-intelex ``` @@ -7449,7 +7434,7 @@ _Libraries that extend scikit-learn with additional capabilities._
MLxtend (πŸ₯ˆ34 Β· ⭐ 4.8K) - A library of extension and helper modules for Pythons data.. BSD-3 -- [GitHub](https://github.com/rasbt/mlxtend) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 840 Β· πŸ“¦ 13K Β· πŸ“‹ 490 - 29% open Β· ⏱️ 31.03.2024): +- [GitHub](https://github.com/rasbt/mlxtend) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 840 Β· πŸ“¦ 13K Β· πŸ“‹ 480 - 29% open Β· ⏱️ 31.03.2024): ``` git clone https://github.com/rasbt/mlxtend @@ -7465,12 +7450,12 @@ _Libraries that extend scikit-learn with additional capabilities._
category_encoders (πŸ₯ˆ31 Β· ⭐ 2.4K) - A library of sklearn compatible categorical variable.. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 400 Β· πŸ“¦ 1.7K Β· πŸ“‹ 290 - 15% open Β· ⏱️ 09.04.2024): +- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 390 Β· πŸ“¦ 1.7K Β· πŸ“‹ 290 - 15% open Β· ⏱️ 09.04.2024): ``` git clone https://github.com/scikit-learn-contrib/category_encoders ``` -- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 1.7M / month Β· πŸ“¦ 180 Β· ⏱️ 29.10.2023): +- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 1.7M / month Β· πŸ“¦ 240 Β· ⏱️ 29.10.2023): ``` pip install category_encoders ``` @@ -7481,28 +7466,28 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-lego (πŸ₯ˆ28 Β· ⭐ 1.2K) - Extra blocks for scikit-learn pipelines. MIT -- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 110 Β· πŸ“¦ 140 Β· πŸ“‹ 300 - 10% open Β· ⏱️ 20.04.2024): +- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 110 Β· πŸ“¦ 140 Β· πŸ“‹ 300 - 11% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/koaning/scikit-lego ``` -- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 21K / month Β· πŸ“¦ 8 Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 22K / month Β· πŸ“¦ 8 Β· ⏱️ 16.04.2024): ``` pip install scikit-lego ``` -- [Conda](https://anaconda.org/conda-forge/scikit-lego) (πŸ“₯ 47K Β· ⏱️ 17.04.2024): +- [Conda](https://anaconda.org/conda-forge/scikit-lego) (πŸ“₯ 48K Β· ⏱️ 17.04.2024): ``` conda install -c conda-forge scikit-lego ```
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scikit-opt (πŸ₯‰25 Β· ⭐ 4.9K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT +
scikit-opt (πŸ₯‰25 Β· ⭐ 5K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT -- [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 950 Β· πŸ“¦ 190 Β· πŸ“‹ 180 - 36% open Β· ⏱️ 19.11.2023): +- [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 950 Β· πŸ“¦ 200 Β· πŸ“‹ 180 - 36% open Β· ⏱️ 19.11.2023): ``` git clone https://github.com/guofei9987/scikit-opt ``` -- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 3.7K / month Β· πŸ“¦ 9 Β· ⏱️ 14.01.2022): +- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 3.5K / month Β· πŸ“¦ 9 Β· ⏱️ 14.01.2022): ``` pip install scikit-opt ``` @@ -7514,7 +7499,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` -- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 1.7K / month Β· πŸ“¦ 3 Β· ⏱️ 12.04.2024): +- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 1.5K / month Β· πŸ“¦ 3 Β· ⏱️ 12.04.2024): ``` pip install deslib ``` @@ -7526,15 +7511,15 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-tda/scikit-tda ``` -- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 3.5K / month Β· ⏱️ 03.08.2021): +- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 3.7K / month Β· ⏱️ 03.08.2021): ``` pip install scikit-tda ```
Show 11 hidden projects... -- scikit-survival (πŸ₯ˆ28 Β· ⭐ 1.1K) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 -- scikit-multilearn (πŸ₯ˆ27 Β· ⭐ 900 Β· πŸ’€) - A scikit-learn based module for multi-label et. al... BSD-2 +- scikit-survival (πŸ₯ˆ29 Β· ⭐ 1.1K) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 +- scikit-multilearn (πŸ₯ˆ27 Β· ⭐ 910 Β· πŸ’€) - A scikit-learn based module for multi-label et. al... BSD-2 - fancyimpute (πŸ₯ˆ26 Β· ⭐ 1.2K Β· πŸ’€) - Multivariate imputation and matrix completion.. Apache-2 - sklearn-crfsuite (πŸ₯ˆ26 Β· ⭐ 420 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT - sklearn-contrib-lightning (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. BSD-3 @@ -7555,23 +7540,23 @@ _Libraries that extend Pytorch with additional capabilities._
accelerate (πŸ₯‡40 Β· ⭐ 7K) - A simple way to launch, train, and use PyTorch models on.. Apache-2 -- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 790 Β· πŸ“¦ 34K Β· πŸ“‹ 1.4K - 9% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 800 Β· πŸ“¦ 35K Β· πŸ“‹ 1.4K - 9% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/huggingface/accelerate ``` -- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 8.5M / month Β· πŸ“¦ 680 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 8.8M / month Β· πŸ“¦ 1.1K Β· ⏱️ 03.05.2024): ``` pip install accelerate ``` -- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 130K Β· ⏱️ 11.04.2024): +- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 130K Β· ⏱️ 03.05.2024): ``` conda install -c conda-forge accelerate ```
tinygrad (πŸ₯‡32 Β· ⭐ 24K) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 2.6K Β· πŸ“¦ 63 Β· πŸ“‹ 590 - 17% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 2.6K Β· πŸ“¦ 63 Β· πŸ“‹ 600 - 16% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/geohot/tinygrad @@ -7584,7 +7569,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 350K / month Β· πŸ“¦ 33 Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 330K / month Β· πŸ“¦ 33 Β· ⏱️ 01.04.2024): ``` pip install pytorch-metric-learning ``` @@ -7595,12 +7580,12 @@ _Libraries that extend Pytorch with additional capabilities._
torchdiffeq (πŸ₯‡29 Β· ⭐ 5.2K Β· πŸ’€) - Differentiable ODE solvers with full GPU support and.. MIT -- [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 880 Β· πŸ“¦ 3.2K Β· πŸ“‹ 210 - 32% open Β· ⏱️ 19.10.2023): +- [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 890 Β· πŸ“¦ 3.3K Β· πŸ“‹ 220 - 33% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/rtqichen/torchdiffeq ``` -- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 780K / month Β· πŸ“¦ 47 Β· ⏱️ 22.04.2022): +- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 770K / month Β· πŸ“¦ 88 Β· ⏱️ 22.04.2022): ``` pip install torchdiffeq ``` @@ -7611,28 +7596,28 @@ _Libraries that extend Pytorch with additional capabilities._
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”€ 290 Β· πŸ“¦ 1.2K Β· πŸ“‹ 63 - 52% open Β· ⏱️ 20.06.2023): +- [GitHub](https://github.com/jettify/pytorch-optimizer) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 290 Β· πŸ“¦ 1.2K Β· πŸ“‹ 83 - 63% open Β· ⏱️ 20.06.2023): ``` git clone https://github.com/jettify/pytorch-optimizer ``` -- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 140K / month Β· πŸ“¦ 46 Β· ⏱️ 31.10.2021): +- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 130K / month Β· πŸ“¦ 84 Β· ⏱️ 31.10.2021): ``` pip install torch_optimizer ``` -- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (πŸ“₯ 9.9K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (πŸ“₯ 10K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge torch-optimizer ```
torchsde (πŸ₯ˆ28 Β· ⭐ 1.5K Β· πŸ’€) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 -- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 180 Β· πŸ“¦ 2.9K Β· πŸ“‹ 72 - 27% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 180 Β· πŸ“¦ 3K Β· πŸ“‹ 73 - 28% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/google-research/torchsde ``` -- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 1.4M / month Β· πŸ“¦ 15 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 1.4M / month Β· πŸ“¦ 29 Β· ⏱️ 26.09.2023): ``` pip install torchsde ``` @@ -7648,7 +7633,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/Lightning-AI/lightning-flash ``` -- [PyPi](https://pypi.org/project/lightning-flash) (πŸ“₯ 3K / month Β· πŸ“¦ 3 Β· ⏱️ 11.05.2022): +- [PyPi](https://pypi.org/project/lightning-flash) (πŸ“₯ 3K / month Β· πŸ“¦ 5 Β· ⏱️ 11.05.2022): ``` pip install lightning-flash ``` @@ -7664,7 +7649,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/dreamquark-ai/tabnet ``` -- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 37K / month Β· πŸ“¦ 11 Β· ⏱️ 23.07.2023): +- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 35K / month Β· πŸ“¦ 11 Β· ⏱️ 23.07.2023): ``` pip install pytorch-tabnet ``` @@ -7680,7 +7665,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 41K / month Β· πŸ“¦ 84 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 39K / month Β· πŸ“¦ 130 Β· ⏱️ 06.10.2023): ``` pip install torch-scatter ``` @@ -7696,14 +7681,14 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/BloodAxe/pytorch-toolbelt ``` -- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 8.1K / month Β· πŸ“¦ 7 Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 8.5K / month Β· πŸ“¦ 7 Β· ⏱️ 27.06.2022): ``` pip install pytorch_toolbelt ```
PyTorch Sparse (πŸ₯‰24 Β· ⭐ 960) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT -- [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 140 Β· πŸ“‹ 270 - 11% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 140 Β· πŸ“‹ 270 - 10% open Β· ⏱️ 29.04.2024): ``` git clone https://github.com/rusty1s/pytorch_sparse @@ -7724,7 +7709,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/lucidrains/reformer-pytorch ``` -- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 8.2K / month Β· ⏱️ 06.11.2021): +- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 8.5K / month Β· ⏱️ 06.11.2021): ``` pip install reformer-pytorch ``` @@ -7739,7 +7724,7 @@ _Libraries that extend Pytorch with additional capabilities._ - 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 - Antialiased CNNs (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 -- micrograd (πŸ₯‰21 Β· ⭐ 8.3K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT +- micrograd (πŸ₯‰21 Β· ⭐ 8.4K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT - AdaBound (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 - pytorchviz (πŸ₯‰20 Β· ⭐ 3K Β· πŸ’€) - A small package to create visualizations of PyTorch execution graphs. MIT - Lambda Networks (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Implementation of LambdaNetworks, a new approach to.. MIT @@ -7768,30 +7753,30 @@ _Libraries for connecting to, operating, and querying databases._ Back to top -
scipy (πŸ₯‡50 Β· ⭐ 12K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 +
scipy (πŸ₯‡50 Β· ⭐ 13K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 -- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 5K Β· πŸ“₯ 400K Β· πŸ“¦ 980K Β· πŸ“‹ 10K - 17% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 5K Β· πŸ“₯ 400K Β· πŸ“¦ 990K Β· πŸ“‹ 10K - 17% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/scipy/scipy ``` -- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 110M / month Β· πŸ“¦ 230K Β· ⏱️ 02.04.2024): +- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 110M / month Β· πŸ“¦ 41K Β· ⏱️ 02.04.2024): ``` pip install scipy ``` -- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 47M Β· ⏱️ 05.04.2024): +- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 48M Β· ⏱️ 04.05.2024): ``` conda install -c conda-forge scipy ```
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SymPy (πŸ₯‡48 Β· ⭐ 12K) - A computer algebra system written in pure Python. BSD-3 +
SymPy (πŸ₯‡47 Β· ⭐ 12K Β· πŸ“‰) - A computer algebra system written in pure Python. BSD-3 -- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4.3K Β· πŸ“₯ 540K Β· πŸ“¦ 130K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4.3K Β· πŸ“₯ 540K Β· πŸ“¦ 130K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/sympy/sympy ``` -- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 28M / month Β· πŸ“¦ 5.1K Β· ⏱️ 31.03.2024): +- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 21M / month Β· πŸ“¦ 3K Β· ⏱️ 31.03.2024): ``` pip install sympy ``` @@ -7802,36 +7787,36 @@ _Libraries for connecting to, operating, and querying databases._
Streamlit (πŸ₯‡46 Β· ⭐ 32K) - Streamlit A faster way to build and share data apps. Apache-2 -- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 2.8K Β· πŸ“¦ 370K Β· πŸ“‹ 4.1K - 19% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 2.8K Β· πŸ“¦ 370K Β· πŸ“‹ 4.1K - 19% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/streamlit/streamlit ``` -- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 4.1M / month Β· πŸ“¦ 2.2K Β· ⏱️ 04.04.2024): +- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 4.2M / month Β· πŸ“¦ 2.2K Β· ⏱️ 02.05.2024): ``` pip install streamlit ```
Gradio (πŸ₯‡44 Β· ⭐ 29K) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 2.1K Β· πŸ“¦ 29K Β· πŸ“‹ 4.2K - 12% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 2.2K Β· πŸ“¦ 29K Β· πŸ“‹ 4.2K - 11% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/gradio-app/gradio ``` -- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 6.1M / month Β· πŸ“¦ 530 Β· ⏱️ 26.04.2024): +- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 6.5M / month Β· πŸ“¦ 540 Β· ⏱️ 03.05.2024): ``` pip install gradio ```
DeepChem (πŸ₯‡37 Β· ⭐ 5.1K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT -- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.6K Β· πŸ“¦ 350 Β· πŸ“‹ 1.8K - 32% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.6K Β· πŸ“¦ 360 Β· πŸ“‹ 1.8K - 31% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 27K / month Β· πŸ“¦ 11 Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 28K / month Β· πŸ“¦ 11 Β· ⏱️ 07.05.2024): ``` pip install deepchem ``` @@ -7842,28 +7827,28 @@ _Libraries for connecting to, operating, and querying databases._
carla (πŸ₯‡36 Β· ⭐ 11K) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 3.4K Β· πŸ“¦ 690 Β· πŸ“‹ 5.1K - 21% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 3.4K Β· πŸ“¦ 700 Β· πŸ“‹ 5.1K - 21% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/carla-simulator/carla ``` -- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 12K / month Β· πŸ“¦ 32 Β· ⏱️ 14.11.2023): +- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 12K / month Β· πŸ“¦ 7 Β· ⏱️ 14.11.2023): ``` pip install carla ```
PennyLane (πŸ₯‡36 Β· ⭐ 2.1K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 -- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 540 Β· πŸ“₯ 77 Β· πŸ“¦ 870 Β· πŸ“‹ 1.2K - 23% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 540 Β· πŸ“₯ 77 Β· πŸ“¦ 870 Β· πŸ“‹ 1.2K - 23% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 64K / month Β· πŸ“¦ 75 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 66K / month Β· πŸ“¦ 100 Β· ⏱️ 06.05.2024): ``` pip install pennylane ``` -- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 43K Β· ⏱️ 19.03.2024): +- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 45K Β· ⏱️ 07.05.2024): ``` conda install -c conda-forge pennylane ``` @@ -7875,7 +7860,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/simonw/datasette ``` -- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 47K / month Β· πŸ“¦ 230 Β· ⏱️ 13.03.2024): +- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 43K / month Β· πŸ“¦ 230 Β· ⏱️ 13.03.2024): ``` pip install datasette ``` @@ -7891,7 +7876,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/wireservice/agate ``` -- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 6.3M / month Β· πŸ“¦ 150 Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 6.4M / month Β· πŸ“¦ 44 Β· ⏱️ 28.04.2024): ``` pip install agate ``` @@ -7900,14 +7885,30 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge agate ```
+
PyOD (πŸ₯ˆ34 Β· ⭐ 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“¦ 3.7K Β· πŸ“‹ 350 - 58% open Β· ⏱️ 16.03.2024): + + ``` + git clone https://github.com/yzhao062/pyod + ``` +- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 720K / month Β· πŸ“¦ 110 Β· ⏱️ 09.02.2024): + ``` + pip install pyod + ``` +- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 96K Β· ⏱️ 09.02.2024): + ``` + conda install -c conda-forge pyod + ``` +
Autograd (πŸ₯ˆ34 Β· ⭐ 6.8K) - Efficiently computes derivatives of numpy code. MIT -- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 870 Β· πŸ“¦ 8K Β· πŸ“‹ 410 - 42% open Β· ⏱️ 16.11.2023): +- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 870 Β· πŸ“¦ 8.1K Β· πŸ“‹ 410 - 42% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/HIPS/autograd ``` -- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.4M / month Β· πŸ“¦ 330 Β· ⏱️ 23.06.2023): +- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.4M / month Β· πŸ“¦ 260 Β· ⏱️ 23.06.2023): ``` pip install autograd ``` @@ -7916,74 +7917,74 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge autograd ```
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PyOD (πŸ₯ˆ33 Β· ⭐ 8K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2 +
Pythran (πŸ₯ˆ33 Β· ⭐ 2K) - Ahead of Time compiler for numeric kernels. BSD-3 -- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 1.3K Β· πŸ“¦ 3.6K Β· πŸ“‹ 350 - 58% open Β· ⏱️ 16.03.2024): +- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 190 Β· πŸ“¦ 2.1K Β· πŸ“‹ 860 - 15% open Β· ⏱️ 07.05.2024): ``` - git clone https://github.com/yzhao062/pyod + git clone https://github.com/serge-sans-paille/pythran ``` -- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 740K / month Β· πŸ“¦ 72 Β· ⏱️ 09.02.2024): +- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 220K / month Β· πŸ“¦ 19 Β· ⏱️ 07.01.2024): ``` - pip install pyod + pip install pythran ``` -- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 95K Β· ⏱️ 09.02.2024): +- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 480K Β· ⏱️ 02.05.2024): ``` - conda install -c conda-forge pyod + conda install -c conda-forge pythran ```
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Pythran (πŸ₯ˆ33 Β· ⭐ 2K) - Ahead of Time compiler for numeric kernels. BSD-3 +
pyopencl (πŸ₯ˆ33 Β· ⭐ 1K Β· πŸ“ˆ) - OpenCL integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 190 Β· πŸ“¦ 2.1K Β· πŸ“‹ 850 - 15% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 240 Β· πŸ“¦ 1.9K Β· πŸ“‹ 340 - 21% open Β· ⏱️ 09.05.2024): ``` - git clone https://github.com/serge-sans-paille/pythran + git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 210K / month Β· πŸ“¦ 23 Β· ⏱️ 07.01.2024): +- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 57K / month Β· πŸ“¦ 160 Β· ⏱️ 09.05.2024): ``` - pip install pythran + pip install pyopencl ``` -- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 470K Β· ⏱️ 02.05.2024): +- [Conda](https://anaconda.org/conda-forge/pyopencl) (πŸ“₯ 1M Β· ⏱️ 09.05.2024): ``` - conda install -c conda-forge pythran + conda install -c conda-forge pyopencl ```
River (πŸ₯ˆ31 Β· ⭐ 4.8K) - Online machine learning in Python. BSD-3 -- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 520 Β· πŸ“¦ 470 Β· πŸ“‹ 580 - 18% open Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 530 Β· πŸ“¦ 470 Β· πŸ“‹ 580 - 18% open Β· ⏱️ 03.05.2024): ``` git clone https://github.com/online-ml/river ``` -- [PyPi](https://pypi.org/project/river) (πŸ“₯ 35K / month Β· πŸ“¦ 36 Β· ⏱️ 23.04.2024): +- [PyPi](https://pypi.org/project/river) (πŸ“₯ 34K / month Β· πŸ“¦ 51 Β· ⏱️ 23.04.2024): ``` pip install river ``` -- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 56K Β· ⏱️ 06.10.2023): +- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 57K Β· ⏱️ 06.10.2023): ``` conda install -c conda-forge river ```
causalml (πŸ₯ˆ31 Β· ⭐ 4.8K) - Uplift modeling and causal inference with machine learning.. Apache-2 -- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 740 Β· πŸ“¦ 190 Β· πŸ“‹ 380 - 13% open Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 740 Β· πŸ“¦ 190 Β· πŸ“‹ 380 - 14% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/uber/causalml ``` -- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 93K / month Β· πŸ“¦ 1 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 86K / month Β· πŸ“¦ 1 Β· ⏱️ 19.04.2024): ``` pip install causalml ```
pyjanitor (πŸ₯ˆ31 Β· ⭐ 1.3K) - 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“¦ 590 Β· πŸ“‹ 560 - 20% open Β· ⏱️ 23.04.2024): +- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 160 Β· πŸ“¦ 600 Β· πŸ“‹ 560 - 20% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/pyjanitor-devs/pyjanitor ``` -- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 75K / month Β· πŸ“¦ 20 Β· ⏱️ 21.03.2024): +- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 77K / month Β· πŸ“¦ 28 Β· ⏱️ 21.03.2024): ``` pip install pyjanitor ``` @@ -7992,58 +7993,42 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pyjanitor ```
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pyopencl (πŸ₯ˆ31 Β· ⭐ 1K) - OpenCL integration for Python, plus shiny features. MIT - -- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 240 Β· πŸ“¦ 1.9K Β· πŸ“‹ 340 - 20% open Β· ⏱️ 01.05.2024): - - ``` - git clone https://github.com/inducer/pyopencl - ``` -- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 53K / month Β· πŸ“¦ 160 Β· ⏱️ 23.01.2024): - ``` - pip install pyopencl - ``` -- [Conda](https://anaconda.org/conda-forge/pyopencl) (πŸ“₯ 1M Β· ⏱️ 24.01.2024): - ``` - conda install -c conda-forge pyopencl - ``` -
datalad (πŸ₯ˆ31 Β· ⭐ 490) - Keep code, data, containers under control with git and git-annex. MIT -- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 110 Β· πŸ“¦ 390 Β· πŸ“‹ 3.9K - 13% open Β· ⏱️ 27.04.2024): +- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 110 Β· πŸ“¦ 390 Β· πŸ“‹ 3.9K - 13% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/datalad/datalad ``` -- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 18K / month Β· πŸ“¦ 68 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 18K / month Β· πŸ“¦ 92 Β· ⏱️ 19.04.2024): ``` pip install datalad ``` -- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 440K Β· ⏱️ 20.04.2024): +- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 450K Β· ⏱️ 20.04.2024): ``` conda install -c conda-forge datalad ```
anomalib (πŸ₯ˆ30 Β· ⭐ 3.2K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 -- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 570 Β· πŸ“₯ 9.3K Β· πŸ“¦ 63 Β· πŸ“‹ 820 - 14% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 580 Β· πŸ“₯ 9.5K Β· πŸ“¦ 63 Β· πŸ“‹ 820 - 14% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/openvinotoolkit/anomalib ``` -- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 17K / month Β· πŸ“¦ 3 Β· ⏱️ 27.03.2024): +- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 18K / month Β· πŸ“¦ 3 Β· ⏱️ 27.03.2024): ``` pip install anomalib ```
hdbscan (πŸ₯ˆ30 Β· ⭐ 2.7K) - A high performance implementation of HDBSCAN clustering. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 480 Β· πŸ“¦ 3.4K Β· πŸ“‹ 510 - 67% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 480 Β· πŸ“¦ 3.4K Β· πŸ“‹ 520 - 67% open Β· ⏱️ 30.04.2024): ``` git clone https://github.com/scikit-learn-contrib/hdbscan ``` -- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 520K / month Β· πŸ“¦ 250 Β· ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 570K / month Β· πŸ“¦ 300 Β· ⏱️ 20.11.2023): ``` pip install hdbscan ``` @@ -8054,24 +8039,24 @@ _Libraries for connecting to, operating, and querying databases._
avalanche (πŸ₯ˆ30 Β· ⭐ 1.7K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT -- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 280 Β· πŸ“₯ 19 Β· πŸ“¦ 82 Β· πŸ“‹ 800 - 10% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 280 Β· πŸ“₯ 20 Β· πŸ“¦ 82 Β· πŸ“‹ 800 - 10% open Β· ⏱️ 09.05.2024): ``` git clone https://github.com/ContinualAI/avalanche ``` -- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.3K / month Β· πŸ“¦ 3 Β· ⏱️ 27.02.2024): +- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.2K / month Β· πŸ“¦ 3 Β· ⏱️ 27.02.2024): ``` pip install avalanche-lib ```
tensorly (πŸ₯ˆ30 Β· ⭐ 1.5K) - TensorLy: Tensor Learning in Python. BSD-2 -- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 270 Β· πŸ“¦ 630 Β· πŸ“‹ 260 - 23% open Β· ⏱️ 11.04.2024): +- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 270 Β· πŸ“¦ 640 Β· πŸ“‹ 260 - 23% open Β· ⏱️ 11.04.2024): ``` git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 28K / month Β· πŸ“¦ 58 Β· ⏱️ 08.03.2023): +- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 31K / month Β· πŸ“¦ 77 Β· ⏱️ 08.03.2023): ``` pip install tensorly ``` @@ -8080,56 +8065,72 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge tensorly ```
+
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”€ 410 Β· πŸ“¦ 2.6K Β· πŸ“‹ 160 - 10% open Β· ⏱️ 17.01.2024): + + ``` + git clone https://github.com/nicodv/kmodes + ``` +- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 370K / month Β· πŸ“¦ 38 Β· ⏱️ 06.09.2022): + ``` + pip install kmodes + ``` +- [Conda](https://anaconda.org/conda-forge/kmodes) (πŸ“₯ 42K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge kmodes + ``` +
adapter-transformers (πŸ₯ˆ28 Β· ⭐ 2.4K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface -- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 320 Β· πŸ“¦ 46 Β· πŸ“‹ 370 - 11% open Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 320 Β· πŸ“¦ 48 Β· πŸ“‹ 370 - 11% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/Adapter-Hub/adapter-transformers ``` -- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 120K / month Β· πŸ“¦ 7 Β· ⏱️ 16.12.2023): +- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 130K / month Β· πŸ“¦ 7 Β· ⏱️ 16.12.2023): ``` pip install adapter-transformers ```
PySwarms (πŸ₯ˆ28 Β· ⭐ 1.2K Β· πŸ’€) - A research toolkit for particle swarm optimization in Python. MIT -- [GitHub](https://github.com/ljvmiranda921/pyswarms) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 330 Β· πŸ“¦ 370 Β· πŸ“‹ 220 - 11% open Β· ⏱️ 06.06.2023): +- [GitHub](https://github.com/ljvmiranda921/pyswarms) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 330 Β· πŸ“¦ 380 Β· πŸ“‹ 230 - 11% open Β· ⏱️ 06.06.2023): ``` git clone https://github.com/ljvmiranda921/pyswarms ``` -- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 19K / month Β· πŸ“¦ 22 Β· ⏱️ 03.01.2021): +- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 21K / month Β· πŸ“¦ 22 Β· ⏱️ 03.01.2021): ``` pip install pyswarms ```
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kmodes (πŸ₯ˆ28 Β· ⭐ 1.2K) - Python implementations of the k-modes and k-prototypes clustering.. MIT +
dstack (πŸ₯ˆ28 Β· ⭐ 1.1K) - An open-source container orchestration engine for running AI workloads.. MPL-2.0 -- [GitHub](https://github.com/nicodv/kmodes) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 420 Β· πŸ“¦ 2.6K Β· πŸ“‹ 160 - 10% open Β· ⏱️ 17.01.2024): +- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 73 Β· πŸ“¦ 14 Β· πŸ“‹ 650 - 6% open Β· ⏱️ 08.05.2024): ``` - git clone https://github.com/nicodv/kmodes - ``` -- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 390K / month Β· πŸ“¦ 450 Β· ⏱️ 06.09.2022): - ``` - pip install kmodes + git clone https://github.com/dstackai/dstack ``` -- [Conda](https://anaconda.org/conda-forge/kmodes) (πŸ“₯ 42K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 2.7K / month Β· ⏱️ 30.04.2024): ``` - conda install -c conda-forge kmodes + pip install dstack ```
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dstack (πŸ₯ˆ28 Β· ⭐ 1.1K) - An open-source container orchestration engine for running AI workloads.. MPL-2.0 +
pyclustering (πŸ₯‰27 Β· ⭐ 1.1K) - pyclustering is a Python, C++ data mining library. BSD-3 -- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 73 Β· πŸ“¦ 14 Β· πŸ“‹ 650 - 6% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/annoviko/pyclustering) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 250 Β· πŸ“₯ 510 Β· πŸ“¦ 660 Β· πŸ“‹ 660 - 10% open Β· ⏱️ 08.02.2024): ``` - git clone https://github.com/dstackai/dstack + git clone https://github.com/annoviko/pyclustering ``` -- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 2.6K / month Β· ⏱️ 30.04.2024): +- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 48K / month Β· πŸ“¦ 29 Β· ⏱️ 25.11.2020): ``` - pip install dstack + pip install pyclustering + ``` +- [Conda](https://anaconda.org/conda-forge/pyclustering) (πŸ“₯ 64K Β· ⏱️ 16.11.2023): + ``` + conda install -c conda-forge pyclustering ```
AugLy (πŸ₯‰26 Β· ⭐ 4.9K) - A data augmentations library for audio, image, text, and video. MIT @@ -8139,7 +8140,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/facebookresearch/AugLy ``` -- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 2.3K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): +- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 2.5K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): ``` pip install augly ``` @@ -8151,19 +8152,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/modAL-python/modAL ``` -- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 240K / month Β· πŸ“¦ 23 Β· ⏱️ 02.05.2024): +- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 260K / month Β· πŸ“¦ 25 Β· ⏱️ 09.05.2024): ``` pip install modAL ```
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“¦ 290 Β· πŸ“‹ 200 - 5% open Β· ⏱️ 07.06.2023): +- [GitHub](https://github.com/sepandhaghighi/pycm) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 300 Β· πŸ“‹ 200 - 5% open Β· ⏱️ 07.06.2023): ``` git clone https://github.com/sepandhaghighi/pycm ``` -- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 49K / month Β· πŸ“¦ 18 Β· ⏱️ 07.06.2023): +- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 47K / month Β· πŸ“¦ 18 Β· ⏱️ 07.06.2023): ``` pip install pycm ``` @@ -8175,7 +8176,7 @@ _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“₯ 16K / month Β· πŸ“¦ 13 Β· ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 17K / month Β· πŸ“¦ 7 Β· ⏱️ 09.10.2023): ``` pip install metric-learn ``` @@ -8186,12 +8187,12 @@ _Libraries for connecting to, operating, and querying databases._
Prince (πŸ₯‰26 Β· ⭐ 1.2K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT -- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 520 Β· πŸ“‹ 130 - 3% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 530 Β· πŸ“‹ 130 - 3% open Β· ⏱️ 16.04.2024): ``` git clone https://github.com/MaxHalford/prince ``` -- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 93K / month Β· πŸ“¦ 12 Β· ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 92K / month Β· πŸ“¦ 14 Β· ⏱️ 11.10.2023): ``` pip install prince ``` @@ -8200,22 +8201,6 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge prince-factor-analysis ```
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pyclustering (πŸ₯‰26 Β· ⭐ 1.1K) - pyclustering is a Python, C++ data mining library. BSD-3 - -- [GitHub](https://github.com/annoviko/pyclustering) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 250 Β· πŸ“₯ 510 Β· πŸ“¦ 660 Β· πŸ“‹ 660 - 10% open Β· ⏱️ 08.02.2024): - - ``` - git clone https://github.com/annoviko/pyclustering - ``` -- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 50K / month Β· πŸ“¦ 35 Β· ⏱️ 25.11.2020): - ``` - pip install pyclustering - ``` -- [Conda](https://anaconda.org/conda-forge/pyclustering) (πŸ“₯ 63K Β· ⏱️ 16.11.2023): - ``` - conda install -c conda-forge pyclustering - ``` -
Trax (πŸ₯‰25 Β· ⭐ 8K) - 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“¦ 150 Β· πŸ“‹ 240 - 47% open Β· ⏱️ 01.02.2024): @@ -8223,19 +8208,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/google/trax ``` -- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 3.8K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): +- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 4K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): ``` pip install trax ```
gplearn (πŸ₯‰25 Β· ⭐ 1.5K Β· πŸ’€) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 -- [GitHub](https://github.com/trevorstephens/gplearn) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 270 Β· πŸ“¦ 550 Β· πŸ“‹ 210 - 10% open Β· ⏱️ 12.08.2023): +- [GitHub](https://github.com/trevorstephens/gplearn) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 270 Β· πŸ“¦ 560 Β· πŸ“‹ 210 - 10% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/trevorstephens/gplearn ``` -- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 6.7K / month Β· πŸ“¦ 18 Β· ⏱️ 03.05.2022): +- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 6.7K / month Β· πŸ“¦ 17 Β· ⏱️ 03.05.2022): ``` pip install gplearn ``` @@ -8251,7 +8236,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/tableau/TabPy ``` -- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 7.6K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): +- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 7.5K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): ``` pip install tabpy ``` @@ -8272,14 +8257,30 @@ _Libraries for connecting to, operating, and querying databases._ pip install pymars ```
+
BioPandas (πŸ₯‰23 Β· ⭐ 680 Β· πŸ’€) - Working with molecular structures in pandas DataFrames. BSD-3 + +- [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 120 Β· πŸ“¦ 240 Β· πŸ“‹ 58 - 41% open Β· ⏱️ 19.09.2023): + + ``` + git clone https://github.com/rasbt/biopandas + ``` +- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 63K / month Β· πŸ“¦ 23 Β· ⏱️ 28.08.2023): + ``` + pip install biopandas + ``` +- [Conda](https://anaconda.org/conda-forge/biopandas) (πŸ“₯ 150K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge biopandas + ``` +
MONAILabel (πŸ₯‰23 Β· ⭐ 540) - MONAI Label is an intelligent open source image labeling and.. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 180 Β· πŸ“₯ 80K Β· πŸ“‹ 500 - 22% open Β· ⏱️ 24.04.2024): +- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 180 Β· πŸ“₯ 82K Β· πŸ“‹ 510 - 23% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/Project-MONAI/MONAILabel ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 550 / month Β· ⏱️ 01.10.2023): +- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 850 / month Β· ⏱️ 01.10.2023): ``` pip install monailabel-weekly ``` @@ -8300,42 +8301,26 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge astroml ```
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BioPandas (πŸ₯‰22 Β· ⭐ 680 Β· πŸ’€) - Working with molecular structures in pandas DataFrames. BSD-3 - -- [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 120 Β· πŸ“¦ 240 Β· πŸ“‹ 58 - 41% open Β· ⏱️ 19.09.2023): - - ``` - git clone https://github.com/rasbt/biopandas - ``` -- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 78K / month Β· πŸ“¦ 23 Β· ⏱️ 28.08.2023): - ``` - pip install biopandas - ``` -- [Conda](https://anaconda.org/conda-forge/biopandas) (πŸ“₯ 150K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge biopandas - ``` -
-
SUOD (πŸ₯‰21 Β· ⭐ 370) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2 +
SUOD (πŸ₯‰22 Β· ⭐ 370) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2 - [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 48 Β· πŸ“¦ 510 Β· πŸ“‹ 14 - 78% open Β· ⏱️ 08.02.2024): ``` git clone https://github.com/yzhao062/SUOD ``` -- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 22K / month Β· πŸ“¦ 2 Β· ⏱️ 08.02.2024): +- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 16K / month Β· πŸ“¦ 8 Β· ⏱️ 08.02.2024): ``` pip install suod ```
rrcf (πŸ₯‰20 Β· ⭐ 480 Β· πŸ’€) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT -- [GitHub](https://github.com/kLabUM/rrcf) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 110 Β· πŸ“¦ 60 Β· πŸ“‹ 47 - 55% open Β· ⏱️ 12.08.2023): +- [GitHub](https://github.com/kLabUM/rrcf) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 110 Β· πŸ“¦ 61 Β· πŸ“‹ 47 - 55% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/kLabUM/rrcf ``` -- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 2.2K / month Β· πŸ“¦ 8 Β· ⏱️ 30.04.2023): +- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 2.3K / month Β· πŸ“¦ 8 Β· ⏱️ 30.04.2023): ``` pip install rrcf ``` @@ -8347,7 +8332,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/clementchadebec/benchmark_VAE ``` -- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 620 / month Β· ⏱️ 06.09.2023): +- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 560 / month Β· ⏱️ 06.09.2023): ``` pip install pythae ``` @@ -8359,19 +8344,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 120 / month Β· ⏱️ 12.04.2022): +- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 130 / month Β· ⏱️ 12.04.2022): ``` pip install pykale ```
-
pymdp (πŸ₯‰17 Β· ⭐ 400) - A Python implementation of active inference for Markov Decision Processes. MIT +
pymdp (πŸ₯‰18 Β· ⭐ 400) - A Python implementation of active inference for Markov Decision Processes. MIT -- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 70 Β· πŸ“¦ 9 Β· πŸ“‹ 40 - 37% open Β· ⏱️ 11.02.2024): +- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 70 Β· πŸ“¦ 9 Β· πŸ“‹ 40 - 37% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/infer-actively/pymdp ``` -- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 330 / month Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 380 / month Β· ⏱️ 08.12.2022): ``` pip install inferactively-pymdp ``` @@ -8383,7 +8368,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/facebookresearch/NeuralCompression ``` -- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 100 / month Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 94 / month Β· ⏱️ 03.10.2023): ``` pip install neuralcompression ``` @@ -8406,7 +8391,7 @@ _Libraries for connecting to, operating, and querying databases._ - impyute (πŸ₯‰21 Β· ⭐ 350 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 - apricot (πŸ₯‰20 Β· ⭐ 490 Β· πŸ’€) - apricot implements submodular optimization for the purpose of.. MIT -- scikit-rebate (πŸ₯‰20 Β· ⭐ 400 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT +- scikit-rebate (πŸ₯‰19 Β· ⭐ 400 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. 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 - KD-Lib (πŸ₯‰15 Β· ⭐ 570 Β· πŸ’€) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT diff --git a/history/2024-05-09_changes.md b/history/2024-05-09_changes.md new file mode 100644 index 0000000..594f17b --- /dev/null +++ b/history/2024-05-09_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._ + +- jax (πŸ₯‡46 Β· ⭐ 28K Β· πŸ“ˆ) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 +- Shapely (πŸ₯ˆ39 Β· ⭐ 3.7K Β· πŸ“ˆ) - Manipulation and analysis of geometric objects. BSD-3 +- DeepSpeech (πŸ₯ˆ33 Β· ⭐ 24K Β· πŸ’€) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +- Captum (πŸ₯‡33 Β· ⭐ 4.6K Β· πŸ“ˆ) - Model interpretability and understanding for PyTorch. BSD-3 +- pyopencl (πŸ₯ˆ33 Β· ⭐ 1K Β· πŸ“ˆ) - OpenCL integration for Python, plus shiny features. MIT +- scattertext (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ“ˆ) - Beautiful visualizations of how language differs among.. Apache-2 +- HiPlot (πŸ₯‰24 Β· ⭐ 2.7K Β· πŸ’€) - HiPlot makes understanding high dimensional data easy. MIT +- Auto ViML (πŸ₯‰23 Β· ⭐ 490 Β· πŸ“ˆ) - Automatically Build Multiple ML Models with a Single Line of.. Apache-2 +- vissl (πŸ₯‰22 Β· ⭐ 3.2K Β· πŸ“ˆ) - VISSL is FAIRs library of extensible, modular and scalable.. MIT +- bias-detector (πŸ₯‰13 Β· ⭐ 42 Β· πŸ“ˆ) - Bias Detector is a python package for detecting bias in machine.. 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._ + +- scikit-learn (πŸ₯‡50 Β· ⭐ 58K Β· πŸ“‰) - scikit-learn: machine learning in Python. BSD-3 +- SymPy (πŸ₯‡47 Β· ⭐ 12K Β· πŸ“‰) - A computer algebra system written in pure Python. BSD-3 +- StatsModels (πŸ₯ˆ44 Β· ⭐ 9.6K Β· πŸ“‰) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 +- XGBoost (πŸ₯ˆ42 Β· ⭐ 26K Β· πŸ“‰) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT.. Apache-2 +- Theano (πŸ₯ˆ38 Β· ⭐ 9.9K Β· πŸ“‰) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 +- Prophet (πŸ₯‡34 Β· ⭐ 18K Β· πŸ’€) - Tool for producing high quality forecasts for time series data that.. MIT +- TensorFlow I/O (πŸ₯ˆ32 Β· ⭐ 690 Β· πŸ“‰) - Dataset, streaming, and file system extensions.. Apache-2 +- Satpy (πŸ₯‰31 Β· ⭐ 1K Β· πŸ“‰) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 +- snowballstemmer (πŸ₯ˆ30 Β· ⭐ 720 Β· πŸ“‰) - Snowball compiler and stemming algorithms. BSD-3 +- doctr (πŸ₯‰29 Β· ⭐ 3.1K Β· πŸ“‰) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 + diff --git a/history/2024-05-09_projects.csv b/history/2024-05-09_projects.csv new file mode 100644 index 0000000..640eb30 --- /dev/null +++ b/history/2024-05-09_projects.csv @@ -0,0 +1,918 @@ +,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,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,trending,helm_id,updated_github_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,brew_id,apt_id,yum_id,conda_dependent_project_count,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 13:21:43.000,2024-05-06 05:38:50.000000,2024-05-06 01:57:53,1553.0,17.0,685.0,116.0,326.0,60.0,141.0,4625.0,Benchmarks of approximate nearest neighbor libraries in Python.,104.0,0,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 13:09:27.000,2024-05-02 18:18:26.000000,2024-05-02 18:18:26,336.0,28.0,162.0,54.0,199.0,,3.0,2182.0,Collection of web-scraping and crawling libraries.,16.0,0,True,2024-05-02 18:18:37.000,2024.05.02,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +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 19:11:32.000,2024-05-09 13:36:52.000000,2024-05-02 21:22:18,349.0,24.0,244.0,87.0,195.0,6.0,5.0,3443.0,Collection of data-loading and -extraction libraries.,12.0,0,True,2024-05-02 21:22:27.000,2024.05.02,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +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 19:11:32.000,2024-05-09 13:36:52.000000,2024-05-02 21:22:18,349.0,24.0,244.0,87.0,195.0,6.0,5.0,3443.0,Collection of database clients for python.,12.0,0,True,2024-05-02 21:22:27.000,2024.05.02,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +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 19:11:32.000,2024-05-09 13:36:52.000000,2024-05-02 21:22:18,349.0,24.0,244.0,87.0,195.0,6.0,5.0,3443.0,"Collection of data-container, dataframe, and pandas-utility libraries.",12.0,0,True,2024-05-02 21:22:27.000,2024.05.02,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +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 19:11:32.000,2024-05-09 13:36:52.000000,2024-05-02 21:22:18,349.0,24.0,244.0,87.0,195.0,6.0,5.0,3443.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",12.0,0,True,2024-05-02 21:22:27.000,2024.05.02,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2024-05-09 13:55:06.000000,2024-05-09 13:54:59,164134.0,4398.0,73887.0,7631.0,27441.0,2373.0,37246.0,185087.0,An Open Source Machine Learning Framework for Everyone.,4600.0,56,True,2024-03-09 00:23:14.000,2.16.1,193.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],374662.0,367462.0,https://pypi.org/project/tensorflow,2024-03-09 00:23:14.000,7200.0,23088528.0,24130930.0,https://anaconda.org/conda-forge/tensorflow,2024-01-30 00:38:25.304,4588937.0,https://hub.docker.com/r/tensorflow/tensorflow,2024-05-09 12:48:39.037443,2403.0,77070662.0,1.0,,,,,,,,,,,,,,,,,,,, +7,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2024-05-09 14:04:30.000000,2024-05-09 14:04:21,72804.0,3451.0,21097.0,1705.0,83774.0,13933.0,28770.0,78289.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,4836.0,55,True,2024-04-24 16:12:17.000,2.3.0,52.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],458760.0,442845.0,https://pypi.org/project/torch,2024-04-24 15:44:27.000,15915.0,28809968.0,29476460.0,https://anaconda.org/pytorch/pytorch,2024-04-23 12:59:17.451,21313789.0,,,,,1.0,40282.0,,,,,,,,,,,,,,,,,,, +8,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2024-05-09 14:21:42.000000,2024-05-09 13:36:53,15838.0,750.0,24895.0,1093.0,15639.0,1083.0,13874.0,125713.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",2564.0,51,True,2024-05-06 16:09:45.000,4.40.2,141.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",171644.0,166648.0,https://pypi.org/project/transformers,2024-05-06 16:07:56.000,4996.0,27060267.0,27096154.0,https://anaconda.org/conda-forge/transformers,2024-05-07 05:35:22.641,1650830.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +9,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 09:43:38.000,2024-05-09 12:58:54.000000,2024-05-08 06:21:27,31278.0,329.0,24999.0,2141.0,17159.0,2073.0,9273.0,58237.0,scikit-learn: machine learning in Python.,3113.0,50,True,2024-04-09 20:07:22.000,1.4.2,78.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],21302.0,,https://pypi.org/project/scikit-learn,2024-05-06 16:31:43.000,21302.0,66600282.0,67185691.0,https://anaconda.org/conda-forge/scikit-learn,2024-05-07 23:17:12.106,28099229.0,,,,,1.0,950.0,-2.0,,,,,,,,,,,,,,,,,, +10,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000,2024-05-09 12:35:46.000000,2024-05-09 07:26:23,50282.0,572.0,7412.0,594.0,17957.0,1535.0,9051.0,19351.0,matplotlib: plotting with Python.,1672.0,50,True,2024-04-04 01:47:18.000,3.8.4,123.0,matplotlib,conda-forge/matplotlib,,,,1227344.0,1183513.0,https://pypi.org/project/matplotlib,2024-04-09 18:34:26.000,43831.0,63034807.0,63532376.0,https://anaconda.org/conda-forge/matplotlib,2024-05-06 01:03:53.090,23385774.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +11,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2024-05-09 13:06:57.000000,2024-05-09 12:13:45,32349.0,767.0,5024.0,348.0,10718.0,1825.0,8432.0,12504.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1628.0,50,True,2024-04-02 21:56:52.000,1.13.0,101.0,scipy,conda-forge/scipy,,,,1030394.0,989705.0,https://pypi.org/project/scipy,2024-04-02 21:41:20.000,40689.0,106968123.0,108107157.0,https://anaconda.org/conda-forge/scipy,2024-05-04 08:53:53.660,47680678.0,,,,,1.0,400753.0,,,,,,,,,,,,,,,,,,, +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 00:35:42.000,2024-05-08 18:59:51.000000,2024-05-08 18:59:44,10670.0,372.0,19344.0,1907.0,7172.0,199.0,11657.0,60996.0,Deep Learning for humans.,1295.0,48,True,2024-04-26 23:21:04.000,3.3.3,98.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],1289.0,,https://pypi.org/project/keras,2024-04-22 23:37:45.000,1289.0,18363468.0,18437263.0,https://anaconda.org/conda-forge/keras,2024-04-27 08:28:33.749,3468380.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +13,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2024-05-08 23:11:05.000000,2024-05-08 06:57:32,17761.0,594.0,2121.0,220.0,4818.0,120.0,2994.0,11738.0,Python Imaging Library (Fork).,468.0,48,True,2024-04-01 12:34:53.000,10.3.0,97.0,Pillow,conda-forge/pillow,,,,1653669.0,1649548.0,https://pypi.org/project/Pillow,2024-04-01 12:17:01.000,4121.0,96810919.0,97657659.0,https://anaconda.org/conda-forge/pillow,2024-04-03 15:56:48.771,38950047.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +14,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2024-05-09 14:43:55.000000,2024-05-09 14:43:55,57613.0,478.0,4307.0,295.0,13141.0,5028.0,8734.0,12435.0,A computer algebra system written in pure Python.,1300.0,47,True,2024-03-31 22:49:13.000,1.12.1rc1,55.0,sympy,conda-forge/sympy,,,,136632.0,133629.0,https://pypi.org/project/sympy,2024-03-31 22:48:43.000,3003.0,21116915.0,21177557.0,https://anaconda.org/conda-forge/sympy,2023-06-16 13:17:18.981,5422766.0,,,,,1.0,540233.0,-1.0,,,,,,,,,,,,,,,,,, +15,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2024-05-09 13:59:18.000000,2024-05-08 20:45:56,6308.0,206.0,2798.0,313.0,4421.0,802.0,3330.0,31975.0,Streamlit A faster way to build and share data apps.,228.0,46,True,2024-05-02 17:44:20.000,1.34.0,221.0,streamlit,,,,,377138.0,374913.0,https://pypi.org/project/streamlit,2024-05-02 17:44:12.000,2225.0,4202069.0,4202069.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +16,jax,google/jax,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000,2024-05-09 14:10:13.000000,2024-05-09 14:10:07,20619.0,1300.0,2571.0,321.0,13416.0,1683.0,3844.0,28098.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",687.0,46,True,2024-05-07 17:47:55.000,0.4.27,161.0,jax,conda-forge/jaxlib,,,,26471.0,24946.0,https://pypi.org/project/jax,2024-05-07 17:47:55.000,1525.0,6460334.0,6485035.0,https://anaconda.org/conda-forge/jaxlib,2024-05-03 19:45:09.278,1160983.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,, +17,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2024-05-09 13:37:58.000000,2024-05-09 09:27:04,40937.0,1121.0,27960.0,2031.0,46479.0,198.0,,38454.0,Apache Spark Python API.,3059.0,45,True,2024-04-18 08:17:20.000,3.4.3,44.0,pyspark,conda-forge/pyspark,,,['spark'],1380.0,,https://pypi.org/project/pyspark,2024-04-18 08:17:20.000,1380.0,29389586.0,29456124.0,https://anaconda.org/conda-forge/pyspark,2024-03-03 13:07:40.821,3127323.0,,,,,1.0,,,stable/spark,,,,,,,,,,,,,,,,, +18,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2024-05-09 14:10:30.000000,2024-05-09 04:36:14,21542.0,922.0,5287.0,472.0,27491.0,3670.0,14230.0,31287.0,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a..,1012.0,45,True,2024-05-08 20:34:48.000,ray-2.21.0,104.0,ray,conda-forge/ray-tune,,,,15963.0,15286.0,https://pypi.org/project/ray,2024-05-08 20:29:44.000,677.0,4605873.0,4611005.0,https://anaconda.org/conda-forge/ray-tune,2024-04-27 07:43:08.400,210334.0,,,,,1.0,211.0,,,,,,,,,,,,,,,,,,, +19,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2024-05-09 13:44:51.000000,2024-05-09 13:44:51,48200.0,1574.0,5439.0,722.0,45981.0,1859.0,16997.0,21642.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1196.0,45,True,2024-04-09 11:19:43.000,2.6.1,67.0,paddlepaddle,,,,['paddle'],5162.0,5056.0,https://pypi.org/project/paddlepaddle,2024-03-19 06:55:39.000,106.0,267771.0,267936.0,,,,,,,,1.0,15373.0,,,,,,,,,,,,,,,,,,, +20,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2024-05-09 13:07:33.000000,2024-05-09 09:49:31,20486.0,108.0,4161.0,442.0,6066.0,776.0,6886.0,18867.0,"Interactive Data Visualization in the browser, from Python.",693.0,45,True,2024-04-11 21:02:24.000,3.4.1,201.0,bokeh,conda-forge/bokeh,,,,88948.0,87381.0,https://pypi.org/project/bokeh,2024-05-08 19:44:08.000,1567.0,5476409.0,5770654.0,https://anaconda.org/conda-forge/bokeh,2024-04-12 05:55:15.282,13829537.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +21,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2024-05-09 15:07:16.000000,2024-05-09 15:04:17,6591.0,331.0,2154.0,154.0,3697.0,497.0,3683.0,29200.0,"Wrap UIs around any model, share with anyone.",315.0,44,True,2024-05-03 18:15:11.000,4.29.0,562.0,gradio,,,,,30036.0,29497.0,https://pypi.org/project/gradio,2024-05-03 18:15:11.000,539.0,6484366.0,6484366.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +22,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2024-05-02 14:48:10.000000,2024-05-02 14:46:41,16130.0,17.0,4283.0,555.0,3998.0,107.0,5494.0,28825.0,Industrial-strength Natural Language Processing (NLP) in Python.,751.0,44,True,2024-02-15 19:16:59.000,3.7.4,230.0,spacy,conda-forge/spacy,,,,89885.0,87517.0,https://pypi.org/project/spacy,2024-04-22 09:55:45.000,2368.0,10088928.0,10161704.0,https://anaconda.org/conda-forge/spacy,2024-04-04 16:04:13.461,3420517.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +23,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 00:45:57.000,2024-05-09 14:07:50.000000,2024-05-09 11:46:27,10281.0,151.0,3254.0,246.0,10099.0,725.0,6182.0,27015.0,"Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.",945.0,44,True,2024-05-01 22:58:16.000,2.2.4,271.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],33387.0,32041.0,https://pypi.org/project/pytorch-lightning,2024-05-01 22:58:16.000,1346.0,5043286.0,5067262.0,https://anaconda.org/conda-forge/pytorch-lightning,2024-04-12 18:53:30.868,1117131.0,,,,,2.0,7498.0,,,Lightning-AI/pytorch-lightning,,,,,,,,,,,,,,,, +24,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2024-05-09 14:41:24.000000,2024-05-09 10:32:30,5810.0,438.0,3941.0,288.0,8105.0,1451.0,2422.0,17360.0,Open source platform for the machine learning lifecycle.,726.0,44,True,2024-04-17 13:49:52.000,2.12.1,96.0,mlflow,conda-forge/mlflow,,,,35487.0,34723.0,https://pypi.org/project/mlflow,2024-04-17 03:38:20.000,764.0,13918698.0,13959341.0,https://anaconda.org/conda-forge/mlflow,2024-05-09 09:35:02.346,1910266.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +25,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2024-05-08 19:52:05.000000,2024-05-01 21:21:36,6470.0,117.0,2487.0,277.0,1638.0,1509.0,1405.0,15343.0,The interactive graphing library for Python This project now includes Plotly Express!.,262.0,44,True,2024-05-01 14:04:11.000,5.22.0,298.0,plotly,conda-forge/plotly,,,,269053.0,263669.0,https://pypi.org/project/plotly,2024-05-01 14:00:07.000,5375.0,16151194.0,16280438.0,https://anaconda.org/conda-forge/plotly,2024-05-04 13:44:40.868,5726675.0,,,,,1.0,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,9.0,9939.0,,,,,,,,,,, +26,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2024-05-09 08:50:29.000000,2024-05-08 00:18:14,7684.0,94.0,3140.0,281.0,3755.0,331.0,2987.0,14225.0,Network Analysis in Python.,717.0,44,True,2024-04-06 13:09:07.000,networkx-3.3,94.0,networkx,conda-forge/networkx,,,,258834.0,250544.0,https://pypi.org/project/networkx,2024-04-06 12:59:44.000,8290.0,53596797.0,53943718.0,https://anaconda.org/conda-forge/networkx,2024-04-08 01:42:36.044,15611486.0,,,,,1.0,68.0,,,,,,,,,,,,,,,,,,, +27,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2024-05-09 08:17:44.000000,2024-05-08 16:07:26,8192.0,108.0,1670.0,211.0,5822.0,1060.0,4158.0,12036.0,Parallel computing with task scheduling.,600.0,44,True,2024-05-07 09:10:44.000,2024.5.0,196.0,dask,conda-forge/dask,,,,62048.0,59958.0,https://pypi.org/project/dask,2024-05-03 21:20:19.000,2090.0,8218874.0,8449559.0,https://anaconda.org/conda-forge/dask,2024-05-04 00:43:29.012,11072889.0,,,,,1.0,,,stable/dask,,,,,,,,,,,,,,,,, +28,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2024-05-09 13:53:13.000000,2024-05-07 13:11:22,4880.0,230.0,2040.0,1684.0,4728.0,288.0,2683.0,11733.0,WebGL2 powered visualization framework.,263.0,44,True,2024-05-06 07:39:07.905,9.0.14,655.0,pydeck,conda-forge/pydeck,,,['jupyter'],7913.0,7538.0,https://pypi.org/project/pydeck,2024-04-29 19:16:05.000,87.0,3409803.0,3867252.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,512706.0,,,,,1.0,,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2024-05-06 07:39:07.905,288.0,447396.0,,,,,,,,,,, +29,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2024-05-08 22:36:30.000000,2024-05-08 22:36:30,15317.0,41.0,2824.0,280.0,3878.0,2780.0,2754.0,9579.0,Statsmodels: statistical modeling and econometrics in Python.,426.0,44,True,2024-04-17 08:41:57.000,0.14.2,37.0,statsmodels,conda-forge/statsmodels,,,,126861.0,122947.0,https://pypi.org/project/statsmodels,2024-04-17 08:41:57.000,3914.0,17352302.0,17628366.0,https://anaconda.org/conda-forge/statsmodels,2023-12-14 18:03:00.804,12975046.0,,,,,2.0,31.0,-1.0,,,,,,,,,,,,,,,,,, +30,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2024-05-09 02:29:47.000000,2024-05-08 13:45:59,5827.0,68.0,1629.0,192.0,4992.0,663.0,1229.0,6558.0,TensorFlows Visualization Toolkit.,319.0,44,True,2024-02-16 19:56:55.000,2.16.2,60.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],234616.0,232659.0,https://pypi.org/project/tensorboard,2024-02-16 19:56:55.000,1957.0,28927978.0,29026798.0,https://anaconda.org/conda-forge/tensorboard,2024-02-18 19:53:36.212,4644549.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +31,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2024-05-08 21:55:59.406000,2024-05-03 15:53:31,2655.0,57.0,3172.0,241.0,861.0,1118.0,1329.0,21708.0,A game theoretic approach to explain the output of any machine learning model.,239.0,43,True,2024-05-07 11:40:34.000,0.45.1,103.0,shap,conda-forge/shap,,,,17952.0,17286.0,https://pypi.org/project/shap,2024-05-07 11:40:34.000,666.0,6974833.0,7041297.0,https://anaconda.org/conda-forge/shap,2024-05-08 21:55:59.406,2725054.0,,,,,1.0,,,,shap/shap,,,,,,,,,,,,,,,, +32,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2024-05-08 16:51:31.000000,2024-05-08 16:35:01,2733.0,80.0,3602.0,438.0,3212.0,318.0,2424.0,16911.0,Open standard for machine learning interoperability.,316.0,43,True,2024-03-25 15:40:18.000,1.16.0,32.0,onnx,conda-forge/onnx,,,,28285.0,27374.0,https://pypi.org/project/onnx,2024-03-25 15:25:07.000,911.0,5581562.0,5602675.0,https://anaconda.org/conda-forge/onnx,2024-03-26 22:34:37.040,980193.0,,,,,1.0,20443.0,,,,,,,,,,,,,,,,,,, +33,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2024-05-09 13:42:15.000000,2024-05-08 21:08:29,3466.0,49.0,3773.0,436.0,3133.0,383.0,2964.0,16088.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",301.0,43,True,2024-01-26 03:29:02.000,4.3.0,36.0,lightgbm,conda-forge/lightgbm,,,,33600.0,32594.0,https://pypi.org/project/lightgbm,2024-01-26 03:29:02.000,1006.0,7721651.0,7776204.0,https://anaconda.org/conda-forge/lightgbm,2024-01-26 13:26:41.503,2285863.0,,,,,2.0,221232.0,,,,,,,,,,,,,,,,,,, +34,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2024-05-07 10:43:38.000000,2024-04-25 14:36:49,3234.0,5.0,1862.0,259.0,1104.0,150.0,2367.0,11985.0,Statistical data visualization in Python.,212.0,43,True,2024-01-25 13:21:49.000,0.13.2,37.0,seaborn,conda-forge/seaborn,,,,412387.0,402974.0,https://pypi.org/project/seaborn,2024-01-25 13:21:49.000,9413.0,17310054.0,17494097.0,https://anaconda.org/conda-forge/seaborn,2024-04-30 16:33:12.611,8649914.0,,,,,1.0,387.0,,,,,,,,,,,,,,,,,,, +35,triton,openai/triton,model-serialisation,,https://github.com/openai/triton,https://github.com/openai/triton,MIT,2014-08-30 17:07:16.000,2024-05-09 15:24:57.000000,2024-05-09 00:22:44,2199.0,505.0,1289.0,179.0,2545.0,541.0,679.0,11132.0,Development repository for the Triton language and compiler.,258.0,43,True,2024-04-05 02:47:42.000,2.3.0,193.0,triton,,,,,24994.0,24824.0,https://pypi.org/project/triton,2024-04-05 02:47:42.000,170.0,11643379.0,11643379.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +36,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2024-05-09 00:13:31.000000,2024-05-08 23:44:07,6831.0,82.0,8666.0,911.0,5112.0,441.0,4757.0,25608.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",640.0,42,True,2023-12-19 21:59:17.000,2.0.3,80.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,1758.0,,https://pypi.org/project/xgboost,2023-12-19 21:59:17.000,1758.0,19193312.0,19296555.0,https://anaconda.org/conda-forge/xgboost,2024-04-18 01:21:37.436,4746036.0,,,,,2.0,8537.0,-3.0,,,,,,,,,,,,,,,,,, +37,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2024-05-09 12:51:20.000000,2024-05-06 13:23:02,7455.0,254.0,1991.0,419.0,1061.0,829.0,910.0,20575.0,Data Apps & Dashboards for Python. No JavaScript Required.,154.0,42,True,2024-05-03 17:00:38.000,2.17.0,178.0,dash,conda-forge/dash,,,,63714.0,62574.0,https://pypi.org/project/dash,2024-05-03 16:56:05.000,1140.0,2845997.0,2873050.0,https://anaconda.org/conda-forge/dash,2024-05-04 04:54:12.137,1271472.0,,,,,1.0,72.0,,,,,,,,,,,,,,,,,,, +38,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2024-05-09 11:34:59.000000,2024-05-09 10:42:12,3845.0,55.0,6848.0,409.0,5251.0,995.0,2373.0,15491.0,"Datasets, Transforms and Models specific to Computer Vision.",586.0,42,True,2024-04-24 16:20:12.000,0.18.0,44.0,torchvision,conda-forge/torchvision,,,['pytorch'],4819.0,21.0,https://pypi.org/project/torchvision,2024-04-24 15:47:57.000,4798.0,12880891.0,12910207.0,https://anaconda.org/conda-forge/torchvision,2024-02-26 00:12:18.834,1097233.0,,,,,1.0,37634.0,,,,,,,,,,,,,,,,,,, +39,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2024-05-09 15:03:24.000000,2024-05-09 15:01:17,11200.0,4028.0,956.0,59.0,1268.0,572.0,1709.0,8706.0,"Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker,..",219.0,42,True,2024-05-09 04:53:02.000,1.36.4,794.0,litellm,,,,others,1846.0,1677.0,https://pypi.org/project/litellm,2024-05-09 04:40:51.000,169.0,573064.0,573184.0,,,,,,,,1.0,240.0,,,,,,,,,,,,,,,,,,, +40,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2024-05-09 14:10:34.000000,2024-05-08 22:33:03,6494.0,387.0,610.0,54.0,4496.0,817.0,2295.0,8276.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,176.0,42,True,2024-05-07 23:10:29.000,0.17.0,274.0,wandb,conda-forge/wandb,,,,45945.0,44745.0,https://pypi.org/project/wandb,2024-05-07 22:08:37.000,1200.0,12908191.0,12918962.0,https://anaconda.org/conda-forge/wandb,2024-03-25 23:14:36.046,495505.0,,,,,1.0,,,,wandb/wandb,,,,,,,,,,,,,,,, +41,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2024-05-08 21:52:34.000000,2024-05-08 10:22:59,13939.0,104.0,2191.0,186.0,4407.0,767.0,2074.0,5887.0,Image processing in Python.,660.0,42,False,2024-04-20 19:25:20.000,0.23.2,65.0,scikit-image,conda-forge/scikit-image,,,,185676.0,180208.0,https://pypi.org/project/scikit-image,2024-04-20 19:25:20.000,5468.0,13529247.0,13661245.0,https://anaconda.org/conda-forge/scikit-image,2023-10-11 16:58:18.971,6203948.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +42,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2024-05-09 11:36:21.000000,2024-05-08 22:04:02,2284.0,149.0,3864.0,331.0,2711.0,1057.0,1608.0,32908.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",307.0,41,True,2024-04-23 23:26:47.000,0.14.2,90.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],7081.0,6922.0,https://pypi.org/project/deepspeed,2024-04-23 23:26:47.000,159.0,526265.0,526610.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,17950.0,1.0,,,,,,,,,,,,,,,,,,,, +43,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 05:51:12.000,2024-05-07 00:17:07.000000,2024-05-04 03:26:56,2221.0,73.0,4568.0,305.0,466.0,65.0,803.0,29907.0,"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT),..",135.0,41,True,2024-02-19 19:35:21.000,0.9.16,56.0,timm,conda-forge/timm,,,['pytorch'],28743.0,28030.0,https://pypi.org/project/timm,2024-02-19 19:33:42.000,713.0,5144712.0,5256756.0,https://anaconda.org/conda-forge/timm,2024-02-21 16:25:26.726,145912.0,,,,,1.0,6532354.0,,,huggingface/pytorch-image-models,,,,,,,,,,,,,,,, +44,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2024-05-09 14:51:30.000000,2024-05-09 14:51:30,19751.0,688.0,2578.0,273.0,20268.0,723.0,10076.0,27113.0,"A cloud-native vector database, storage for next generation AI applications.",272.0,41,True,2024-05-06 12:00:08.000,2.4.1,94.0,pymilvus,,milvusdb/milvus,,,119.0,,https://pypi.org/project/pymilvus,2024-04-29 11:34:02.000,119.0,509759.0,775387.0,,,,https://hub.docker.com/r/milvusdb/milvus,2024-05-09 12:05:30.291140,43.0,14655372.0,1.0,215884.0,,,,,,,,,,,,,,,,,,, +45,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2024-05-08 23:24:02.000000,2024-05-08 08:20:29,1384.0,66.0,2322.0,133.0,410.0,1049.0,926.0,13890.0,Multilingual Sentence & Image Embeddings with BERT.,158.0,41,True,2024-04-17 13:16:06.000,2.7.0,51.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],33411.0,32183.0,https://pypi.org/project/sentence-transformers,2024-04-17 13:15:42.000,1228.0,4265705.0,4271187.0,https://anaconda.org/conda-forge/sentence-transformers,2024-04-17 14:59:51.983,241233.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +46,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2024-05-07 08:05:15.000000,2024-05-03 15:58:53,9261.0,77.0,1138.0,140.0,5440.0,209.0,4413.0,13168.0,ML Experiments and Data Management with Git.,296.0,41,True,2024-04-26 15:04:08.000,3.50.1,523.0,dvc,conda-forge/dvc,,,,14974.0,14860.0,https://pypi.org/project/dvc,2024-04-26 15:04:08.000,114.0,494966.0,537270.0,https://anaconda.org/conda-forge/dvc,2024-04-26 20:12:41.589,1835619.0,,,,,1.0,42240.0,,,,,,,,,dvc,dvc,dvc,,,,,,,, +47,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2024-05-06 17:04:31.000000,2024-04-27 14:57:23,8262.0,25.0,3321.0,477.0,703.0,53.0,2139.0,13061.0,A toolkit for making real world machine learning and data analysis applications in C++.,193.0,41,False,2024-04-03 23:33:43.000,19.24.4,37.0,dlib,conda-forge/dlib,,,,27115.0,26915.0,https://pypi.org/project/dlib,2024-04-03 23:33:43.000,200.0,508462.0,523440.0,https://anaconda.org/conda-forge/dlib,2024-04-04 08:17:12.401,692873.0,,,,,2.0,25430.0,,,,,,,,,,,,,,,,,,, +48,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2024-04-19 08:49:48.000000,2024-04-05 06:11:40,14511.0,2.0,2817.0,465.0,1456.0,271.0,1516.0,13060.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,454.0,41,True,2023-07-20 15:52:53.307,0.9.9,59.0,nltk,conda-forge/nltk,,,,276211.0,272114.0,https://pypi.org/project/nltk,2023-07-20 15:52:53.307,4097.0,21253091.0,21280173.0,https://anaconda.org/conda-forge/nltk,2023-06-16 13:20:53.756,2518677.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +49,Altair,altair-viz/altair,data-viz,,https://github.com/vega/altair,https://github.com/vega/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2024-05-08 17:09:23.000000,2024-05-08 17:09:22,3662.0,40.0,763.0,141.0,1358.0,167.0,1776.0,8948.0,Declarative statistical visualization library for Python.,163.0,41,True,2024-03-30 15:36:52.000,5.3.0,40.0,altair,conda-forge/altair,,,,130002.0,129249.0,https://pypi.org/project/altair,2024-03-30 15:24:57.000,753.0,23791254.0,23868091.0,https://anaconda.org/conda-forge/altair,2024-03-30 18:57:22.082,2228263.0,,,,,1.0,122.0,,,vega/altair,,,,,,,,,,,,,,,, +50,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2024-05-09 13:36:52.000000,2024-05-09 08:16:14,9864.0,118.0,1926.0,225.0,3924.0,269.0,3016.0,8186.0,Bayesian Modeling and Probabilistic Programming in Python.,489.0,41,True,2024-04-30 14:58:33.000,5.14.0,83.0,pymc3,conda-forge/pymc3,,,,3418.0,3227.0,https://pypi.org/project/pymc3,2022-03-15 10:10:19.000,191.0,853428.0,859588.0,https://anaconda.org/conda-forge/pymc3,2023-06-16 13:23:30.938,559190.0,,,,,1.0,1937.0,,,,,,,,,,,,,,,,,,, +51,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2024-05-09 03:29:02.000000,2024-05-09 03:21:32,47864.0,483.0,1147.0,192.0,384.0,507.0,1757.0,7767.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1229.0,41,True,2024-04-18 20:19:33.000,1.2.5,111.0,catboost,conda-forge/catboost,,,,399.0,13.0,https://pypi.org/project/catboost,2024-04-18 18:24:32.000,386.0,2022874.0,2061444.0,https://anaconda.org/conda-forge/catboost,2024-04-18 20:39:24.300,1490169.0,,,,,2.0,247225.0,,,,,,,,,,,,,,,,,,, +52,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2024-05-02 16:09:06.000000,2023-01-30 18:15:21,1757.0,,8557.0,1062.0,1452.0,92.0,1721.0,33933.0,A toolkit for developing and comparing reinforcement learning algorithms.,383.0,40,False,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,54456.0,52953.0,https://pypi.org/project/gym,2023-07-20 15:30:49.667,1503.0,504659.0,510304.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,276615.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +53,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2024-04-27 22:14:28.000000,2024-04-27 22:14:00,2765.0,18.0,7515.0,609.0,2225.0,216.0,1589.0,25665.0,The fastai deep learning library.,667.0,40,True,2024-04-27 22:14:28.000,2.7.15,149.0,fastai,,,,['pytorch'],17455.0,17166.0,https://pypi.org/project/fastai,2024-04-27 22:14:28.000,289.0,372894.0,372894.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +54,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2024-05-07 12:46:18.000000,2024-03-21 15:05:22,32610.0,18.0,4532.0,349.0,6359.0,117.0,6642.0,18018.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",593.0,40,True,2024-04-18 15:06:29.000,3.6.20,373.0,rasa,,,,['tensorflow'],4191.0,4132.0,https://pypi.org/project/rasa,2024-04-18 15:06:12.000,59.0,108869.0,108869.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +55,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2024-05-09 09:05:43.000000,2024-04-28 11:51:15,1194.0,12.0,2197.0,241.0,551.0,139.0,1133.0,11949.0,Download market data from Yahoo! Finances API.,110.0,40,True,2024-04-16 21:20:42.000,0.2.38,110.0,yfinance,ranaroussi/yfinance,,,,38055.0,37694.0,https://pypi.org/project/yfinance,2024-04-16 21:20:42.000,361.0,1478833.0,1481479.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,89978.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +56,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2024-05-09 15:19:47.000000,2024-05-09 13:30:13,1421.0,147.0,805.0,98.0,1371.0,133.0,1259.0,7049.0,"A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic..",249.0,40,True,2024-05-03 15:29:05.000,0.30.0,50.0,accelerate,conda-forge/accelerate,,,['pytorch'],36465.0,35388.0,https://pypi.org/project/accelerate,2024-05-03 14:36:32.000,1077.0,8847977.0,8852141.0,https://anaconda.org/conda-forge/accelerate,2024-05-03 18:58:07.359,129106.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +57,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2024-05-07 16:37:16.000000,2024-05-07 16:32:35,1851.0,70.0,2209.0,164.0,847.0,97.0,1013.0,6696.0,Python Data. Leaflet.js Maps.,166.0,40,True,2024-02-29 08:58:17.000,0.16.0,31.0,folium,conda-forge/folium,,,,37774.0,37146.0,https://pypi.org/project/folium,2024-02-29 08:58:17.000,628.0,1199912.0,1267226.0,https://anaconda.org/conda-forge/folium,2024-02-29 12:23:49.642,2692565.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +58,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2024-05-08 13:21:24.000000,2024-05-06 14:11:49,1938.0,60.0,895.0,105.0,1602.0,436.0,1219.0,4211.0,Python tools for geographic data.,223.0,40,True,2024-04-28 13:49:29.000,0.14.4,54.0,geopandas,conda-forge/geopandas,,,['pandas'],37186.0,34798.0,https://pypi.org/project/geopandas,2024-04-28 13:49:24.000,2388.0,6379051.0,6454998.0,https://anaconda.org/conda-forge/geopandas,2024-04-28 20:22:12.956,3568310.0,,,,,1.0,2531.0,,,,,,,,,,,,,,,,,,, +59,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2024-05-09 00:17:12.000000,2024-05-08 19:51:07,6272.0,95.0,1507.0,105.0,4252.0,672.0,721.0,4191.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",306.0,40,True,2023-12-18 13:28:11.000,4.9.4,37.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],17783.0,17482.0,https://pypi.org/project/tensorflow-datasets,2023-12-18 13:28:06.000,301.0,4064350.0,4065151.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,28848.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +60,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 01:03:33.000,2024-05-09 14:17:43.000000,2024-05-08 21:47:24,3663.0,159.0,1090.0,136.0,3020.0,286.0,1189.0,2048.0,A library for training and deploying machine learning models on Amazon SageMaker.,437.0,40,True,2024-05-08 20:32:53.000,2.219.0,585.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",4064.0,3932.0,https://pypi.org/project/sagemaker,2024-05-08 20:32:53.000,132.0,26631937.0,26648878.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2024-05-09 00:58:02.385,762351.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +61,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2024-05-09 13:04:45.000000,2024-05-08 06:53:19,5758.0,79.0,707.0,54.0,5002.0,1512.0,2330.0,1544.0,A distributed task scheduler for Dask.,324.0,40,True,2024-05-03 21:20:23.000,2024.5.0,228.0,distributed,conda-forge/distributed,,,,34951.0,34216.0,https://pypi.org/project/distributed,2024-05-03 21:20:23.000,735.0,3900666.0,4183095.0,https://anaconda.org/conda-forge/distributed,2024-05-03 22:43:44.576,13556611.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +62,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2024-05-09 05:49:48.000000,2024-05-09 04:52:46,1082.0,77.0,3409.0,476.0,947.0,452.0,1930.0,28393.0,A library for efficient similarity search and clustering of dense vectors.,172.0,39,True,2024-04-29 11:34:02.000,2.4.1,94.0,pymilvus,conda-forge/faiss,,,,3737.0,3618.0,https://pypi.org/project/pymilvus,2024-04-29 11:34:02.000,119.0,509759.0,533745.0,https://anaconda.org/conda-forge/faiss,2023-06-16 19:19:09.201,1151346.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +63,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2024-04-19 12:21:16.000000,2024-04-10 23:04:20,8539.0,28.0,2187.0,209.0,4172.0,22.0,1924.0,20120.0,Build multimodal AI applications with cloud-native stack.,176.0,39,True,2024-04-10 14:42:19.000,3.25.1,2461.0,jina,conda-forge/jina-core,jinaai/jina,,,1747.0,1720.0,https://pypi.org/project/jina,2024-04-10 14:39:06.000,27.0,35964.0,63533.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,62568.0,https://hub.docker.com/r/jinaai/jina,2024-04-10 14:51:03.408997,8.0,1306330.0,2.0,,,,,,,,,,,,,,,,,,,, +64,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/piskvorky/gensim,https://github.com/piskvorky/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2024-04-24 11:04:13.000000,2024-04-08 03:19:54,4515.0,3.0,4343.0,435.0,1691.0,382.0,1452.0,15273.0,Topic Modelling for Humans.,451.0,39,True,2023-08-24 08:48:21.000,4.3.2,93.0,gensim,conda-forge/gensim,,,,60437.0,59138.0,https://pypi.org/project/gensim,2023-08-24 08:48:21.000,1299.0,5498612.0,5531452.0,https://anaconda.org/conda-forge/gensim,2024-02-08 03:02:42.101,1246268.0,,,,,1.0,4556.0,,,piskvorky/gensim,,,,,,,,,,,,,,,, +65,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2024-05-03 22:45:49.000000,2024-05-03 17:11:18,5942.0,62.0,2066.0,202.0,1189.0,75.0,2187.0,13588.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,261.0,39,True,2023-12-18 09:34:55.000,0.13.1,32.0,flair,conda-forge/python-flair,,,['pytorch'],3316.0,3217.0,https://pypi.org/project/flair,2023-12-18 09:34:55.000,99.0,172199.0,172720.0,https://anaconda.org/conda-forge/python-flair,2024-01-05 20:59:40.138,24002.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +66,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,,2018-02-21 06:12:56.000,2024-05-09 10:23:15.000000,2024-05-08 01:48:50,17597.0,522.0,952.0,118.0,3508.0,102.0,1531.0,9722.0,A hyperparameter optimization framework.,263.0,39,False,2024-04-01 06:04:15.000,3.6.1,64.0,optuna,conda-forge/optuna,,,,15126.0,14313.0,https://pypi.org/project/optuna,2024-04-01 06:04:15.000,813.0,2499198.0,2518669.0,https://anaconda.org/conda-forge/optuna,2024-03-29 06:40:40.525,915138.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +67,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2024-05-06 09:49:39.000000,2024-05-06 09:49:38,1773.0,16.0,726.0,119.0,586.0,81.0,863.0,8489.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,87.0,39,True,2024-04-17 21:37:50.000,0.19.1,95.0,tokenizers,conda-forge/tokenizers,,,,76325.0,75587.0,https://pypi.org/project/tokenizers,2024-04-17 21:36:02.000,738.0,25249530.0,25284160.0,https://anaconda.org/conda-forge/tokenizers,2024-04-18 01:39:43.525,1593015.0,,,,,1.0,47.0,,,,,,,,,,,,,,,,,,, +68,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2024-05-07 22:54:59.000000,2024-05-03 12:19:20,9811.0,153.0,1279.0,128.0,1197.0,124.0,946.0,7931.0,A PyTorch-based Speech Toolkit.,234.0,39,True,2024-02-26 20:55:33.000,1.0.0,16.0,speechbrain,,,,['pytorch'],1857.0,1826.0,https://pypi.org/project/speechbrain,2024-02-26 20:55:33.000,31.0,3516215.0,3516215.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +69,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2024-05-09 14:25:43.000000,2024-05-09 14:25:42,4505.0,242.0,1285.0,102.0,3725.0,812.0,1453.0,7438.0,A unified framework for machine learning with time series.,357.0,39,True,2024-05-01 13:08:23.000,0.29.0,67.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],2725.0,2616.0,https://pypi.org/project/sktime,2024-05-01 13:08:23.000,109.0,930643.0,958578.0,https://anaconda.org/conda-forge/sktime-all-extras,2024-05-04 19:43:57.141,949766.0,,,,,1.0,87.0,,,sktime/sktime,,,,,,,,,,,,,,,, +70,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2024-05-09 12:59:33.000000,2024-05-08 18:23:30,4401.0,221.0,593.0,84.0,2355.0,221.0,704.0,5545.0,Flax is a neural network library for JAX that is designed for flexibility.,220.0,39,True,2024-04-30 09:57:17.000,0.8.3,44.0,flax,conda-forge/flax,,,['jax'],7605.0,7215.0,https://pypi.org/project/flax,2024-04-30 09:57:17.000,390.0,4034454.0,4035705.0,https://anaconda.org/conda-forge/flax,2024-04-30 18:49:11.574,47502.0,,,,,2.0,50.0,,,,,,,,,,,,,,,,,,, +71,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2024-05-07 10:27:10.000000,2024-05-06 09:19:52,2266.0,29.0,555.0,88.0,817.0,272.0,918.0,3685.0,Manipulation and analysis of geometric objects.,153.0,39,True,2024-04-16 22:26:21.000,2.0.4,123.0,shapely,conda-forge/shapely,,,,70737.0,68229.0,https://pypi.org/project/shapely,2024-04-16 22:26:21.000,2508.0,23983236.0,24188989.0,https://anaconda.org/conda-forge/shapely,2024-04-17 10:26:25.080,9254122.0,,,,,2.0,3314.0,1.0,,,,,,,,,,,,,,,,,, +72,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 03:31:13.000,2024-05-08 17:08:29.000000,2024-05-06 08:09:14,17962.0,123.0,1283.0,83.0,7828.0,514.0,4286.0,2560.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,370.0,39,True,2024-04-19 18:04:01.000,1.7.0,78.0,mne,conda-forge/mne,,,,4160.0,3815.0,https://pypi.org/project/mne,2024-04-19 18:04:01.000,345.0,116355.0,123864.0,https://anaconda.org/conda-forge/mne,2024-04-19 20:25:11.111,360466.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +73,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2024-05-09 11:33:18.000000,2024-05-09 11:33:18,6156.0,22.0,7213.0,431.0,2891.0,1207.0,7802.0,38809.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",195.0,38,True,2024-03-29 09:49:07.000,2.7.5,44.0,paddleocr,,,,['paddle'],2597.0,2551.0,https://pypi.org/project/paddleocr,2024-03-29 09:49:07.000,46.0,152946.0,152946.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +74,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2024-05-06 03:35:31.000000,2024-02-05 13:23:18,2706.0,,9204.0,370.0,3138.0,1566.0,6662.0,27931.0,OpenMMLab Detection Toolbox and Benchmark.,480.0,38,True,2024-01-05 06:25:30.000,3.3.0,53.0,mmdet,,,,['pytorch'],2528.0,2464.0,https://pypi.org/project/mmdet,2024-01-05 06:25:30.000,64.0,207854.0,207854.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +75,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2024-05-09 13:59:26.000000,2024-05-09 07:34:22,35266.0,388.0,12974.0,945.0,24750.0,1184.0,,23217.0,Apache Flink Python API.,1855.0,38,True,2024-01-15 16:28:13.000,1.18.1,47.0,apache-flink,,,,,45.0,21.0,https://pypi.org/project/apache-flink,2024-03-15 08:32:38.000,24.0,65325.0,65325.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +76,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,,6812.0,1069.0,11124.0,1805.0,7758.0,20715.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",982.0,38,False,2022-10-24 07:38:03.000,1.9.1,983.0,mxnet,mxnet,,,['mxnet'],7372.0,7250.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,116.0,611825.0,612243.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,10724.0,,,,,2.0,26861.0,,,apache/mxnet,,,,,,,,,6.0,,,,,,, +77,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 16:03:03.000,2024-05-08 17:31:10.000000,2024-05-07 06:50:01,7516.0,147.0,3533.0,255.0,2982.0,955.0,2607.0,20211.0,Graph Neural Network Library for PyTorch.,494.0,38,True,2024-04-19 11:59:51.000,2.5.3,44.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],242.0,,https://pypi.org/project/torch-geometric,2024-04-19 11:59:51.000,242.0,287528.0,288416.0,https://anaconda.org/conda-forge/pytorch_geometric,2024-05-04 18:04:48.733,40863.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +78,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2024-05-08 23:00:15.000000,2024-05-08 23:00:12,877.0,91.0,1593.0,128.0,773.0,426.0,507.0,13469.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,142.0,38,True,2024-05-04 05:34:03.000,1.4.6,61.0,albumentations,conda-forge/albumentations,,,['pytorch'],23668.0,23164.0,https://pypi.org/project/albumentations,2024-05-04 05:34:03.000,504.0,2054484.0,2058022.0,https://anaconda.org/conda-forge/albumentations,2024-03-05 20:01:04.905,162787.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +79,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2024-05-09 09:06:48.000000,2024-05-09 09:06:48,4094.0,154.0,2961.0,168.0,4696.0,511.0,2286.0,13039.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",289.0,38,True,2024-05-08 07:16:07.000,2.2.0,452.0,dgl,,,,,364.0,238.0,https://pypi.org/project/dgl,2024-05-08 07:16:07.000,126.0,95125.0,95125.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +80,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2024-04-21 04:59:48.000000,2024-04-12 16:27:53,4816.0,83.0,4965.0,381.0,697.0,603.0,1343.0,12277.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",199.0,38,False,2024-02-24 10:01:09.000,2.7.0,58.0,glfw,conda-forge/glfw,,,,1521.0,1352.0,https://pypi.org/project/glfw,2024-02-24 10:01:09.000,169.0,209241.0,248358.0,https://anaconda.org/conda-forge/glfw,2024-02-24 15:41:47.790,196204.0,,,,,1.0,3749651.0,,,,,,,,,,,,,,,,,,, +81,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2024-05-07 20:18:32.000000,2024-05-07 19:29:08,1444.0,70.0,1629.0,150.0,781.0,215.0,561.0,12080.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,123.0,38,True,2024-05-07 19:57:59.000,4.8.3,61.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",3278.0,3096.0,https://pypi.org/project/pandas-profiling,2023-02-03 17:59:40.571,182.0,730444.0,735057.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,429012.0,,,,,2.0,88.0,,,ydataai/ydata-profiling,,,,,,,,,,,,,,,, +82,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,,2511.0,541.0,4118.0,685.0,2087.0,9855.0,"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,,,,15197.0,15025.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,172.0,525522.0,551103.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2404705.0,,,,,2.0,,-1.0,,,,,,,,,,,,,,,,,, +83,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2024-05-08 17:35:40.000000,2024-05-06 08:02:27,951.0,28.0,1111.0,123.0,287.0,27.0,696.0,9558.0,Unsupervised text tokenizer for Neural Network-based text generation.,86.0,38,True,2024-02-19 17:03:42.000,0.2.0,35.0,sentencepiece,conda-forge/sentencepiece,,,,65584.0,64073.0,https://pypi.org/project/sentencepiece,2024-02-19 17:03:42.000,1511.0,22405663.0,22423135.0,https://anaconda.org/conda-forge/sentencepiece,2024-03-19 05:24:18.341,779435.0,,,,,1.0,36461.0,,,,,,,,,,,,,,,,,,, +84,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2024-05-09 09:27:09.000000,2024-05-07 23:58:59,2732.0,70.0,937.0,129.0,1857.0,268.0,635.0,9441.0,Geometric Computer Vision Library for Spatial AI.,260.0,38,True,2024-03-14 09:18:15.000,0.7.2,39.0,kornia,conda-forge/kornia,,,['pytorch'],9904.0,9669.0,https://pypi.org/project/kornia,2024-03-14 09:18:15.000,235.0,1492374.0,1495370.0,https://anaconda.org/conda-forge/kornia,2024-02-20 17:25:27.727,122187.0,,,,,1.0,1091.0,,,,,,,,,,,,,,,,,,, +85,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2024-05-03 20:31:35.000000,2024-04-28 18:44:58,5223.0,70.0,1723.0,131.0,992.0,350.0,1933.0,8452.0,"An open-source, low-code machine learning library in Python.",136.0,38,True,2024-04-28 18:46:27.000,3.3.2,98.0,pycaret,conda-forge/pycaret,,,,5663.0,5633.0,https://pypi.org/project/pycaret,2024-04-28 18:46:21.000,30.0,369375.0,370391.0,https://anaconda.org/conda-forge/pycaret,2024-04-25 15:07:46.052,45058.0,,,,,2.0,692.0,,,,,,,,,,,,,,,,,,, +86,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2024-05-09 14:09:03.000000,2024-05-08 14:39:44,21235.0,537.0,2089.0,175.0,3282.0,308.0,2067.0,7917.0,End-to-End Speech Processing Toolkit.,425.0,38,True,2024-02-06 03:28:17.000,.202402,52.0,espnet,,,,,330.0,318.0,https://pypi.org/project/espnet,2024-02-06 03:28:41.000,12.0,77114.0,77115.0,,,,,,,,1.0,79.0,,,,,,,,,,,,,,,,,,, +87,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2024-05-09 11:56:45.000000,2024-05-08 12:06:08,28474.0,192.0,771.0,127.0,6150.0,571.0,1664.0,7811.0,NumPy & SciPy for GPU.,364.0,38,True,2024-04-19 07:40:12.000,13.1.0,139.0,cupy,conda-forge/cupy,cupy/cupy,,,2249.0,2037.0,https://pypi.org/project/cupy,2024-04-19 04:17:35.000,212.0,23779.0,100448.0,https://anaconda.org/conda-forge/cupy,2024-04-29 17:22:48.759,3517204.0,https://hub.docker.com/r/cupy/cupy,2024-04-19 07:42:49.196765,11.0,62045.0,1.0,173140.0,,,,,,,,,,,,,,,,,,, +88,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2024-05-07 08:03:38.000000,2024-05-07 08:03:36,12138.0,68.0,1075.0,164.0,463.0,669.0,746.0,4134.0,Probabilistic reasoning and statistical analysis in TensorFlow.,493.0,38,True,2024-03-12 19:43:46.000,0.24.0,52.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],560.0,,https://pypi.org/project/tensorflow-probability,2024-03-12 19:43:39.000,560.0,3823025.0,3826248.0,https://anaconda.org/conda-forge/tensorflow-probability,2024-01-09 01:12:57.968,125728.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +89,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2024-05-09 11:40:45.000000,2024-05-09 11:40:44,10752.0,49.0,394.0,59.0,2978.0,1095.0,2166.0,2626.0,"With Holoviews, your data visualizes itself.",141.0,38,True,2024-03-22 00:10:16.630,3.0.2,160.0,holoviews,conda-forge/holoviews,,,['jupyter'],10695.0,10334.0,https://pypi.org/project/holoviews,2024-04-23 15:48:47.000,356.0,422661.0,456348.0,https://anaconda.org/conda-forge/holoviews,2024-02-12 17:18:29.765,1569400.0,,,,,2.0,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2024-03-22 00:10:16.630,5.0,296.0,,,,,,,,,,, +90,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 10:20:28.000,2024-05-08 14:54:38.000000,2024-05-03 08:55:51,1404.0,128.0,433.0,58.0,1354.0,141.0,674.0,1706.0,The official Python client for the Huggingface Hub.,161.0,38,True,2024-05-02 12:46:42.000,0.23.0,109.0,huggingface_hub,conda-forge/huggingface_hub,,,,1207.0,,https://pypi.org/project/huggingface_hub,2024-05-02 12:46:34.000,1207.0,34525999.0,34570113.0,https://anaconda.org/conda-forge/huggingface_hub,2024-05-03 19:11:46.697,1720447.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +91,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2024-03-18 00:28:14.000000,2020-02-15 08:33:35,523.0,,6704.0,1285.0,166.0,670.0,226.0,32479.0,Chinese Words Segmentation Utilities.,49.0,37,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,28910.0,28155.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,755.0,931251.0,933047.0,https://anaconda.org/conda-forge/jieba,2023-06-16 13:21:35.778,152673.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +92,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2024-05-07 14:51:33.000000,2023-07-11 16:23:35,1095.0,,1519.0,254.0,670.0,415.0,1046.0,11848.0,Video editing with Python.,160.0,37,True,2020-05-07 16:29:35.000,1.0.3,85.0,moviepy,conda-forge/moviepy,,,,38926.0,38150.0,https://pypi.org/project/moviepy,2021-12-15 14:41:26.454,776.0,1058796.0,1061723.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,240050.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +93,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2024-05-07 18:07:06.000000,2024-05-07 18:07:06,1445.0,225.0,1811.0,134.0,195.0,4.0,1027.0,10162.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",61.0,37,True,2024-05-02 07:29:37.000,0.0.91,90.0,deepface,,,,,3101.0,3068.0,https://pypi.org/project/deepface,2024-05-02 07:27:16.000,33.0,62953.0,62953.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +94,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2024-05-09 13:06:49.000000,2024-05-08 16:11:38,29155.0,2455.0,1976.0,198.0,5322.0,30.0,3377.0,9274.0,Perform data science on data that remains in someone elses server.,510.0,37,True,2024-04-03 12:17:16.000,0.8.6,280.0,syft,,,,['pytorch'],6.0,1.0,https://pypi.org/project/syft,2024-04-28 12:46:46.000,5.0,9468.0,9746.0,,,,,,,,1.0,2504.0,,,,,,,,,,,,,,,,,,, +95,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2024-05-07 16:35:28.000000,2024-05-07 16:35:27,583.0,20.0,1139.0,263.0,173.0,109.0,169.0,8959.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",37.0,37,True,2021-10-22 03:18:24.000,0.17.1,59.0,textblob,conda-forge/textblob,,,,38678.0,38349.0,https://pypi.org/project/textblob,2021-10-22 03:18:24.000,329.0,1047453.0,1050109.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,247044.0,,,,,1.0,117.0,,,,,,,,,,,,,,,,,,, +96,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2024-05-08 07:44:29.000000,2024-05-07 14:59:56,10463.0,242.0,1617.0,147.0,2289.0,581.0,1235.0,5148.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",240.0,37,True,2024-04-03 16:21:23.000,2.8.0,852.0,deepchem,conda-forge/deepchem,,,['tensorflow'],372.0,361.0,https://pypi.org/project/deepchem,2024-05-07 15:11:47.000,11.0,27779.0,30036.0,https://anaconda.org/conda-forge/deepchem,2024-04-05 16:46:45.105,106096.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +97,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2024-05-05 12:54:38.000000,2024-04-29 15:18:33,4015.0,126.0,1072.0,151.0,1633.0,393.0,882.0,3693.0,Fast data visualization and GUI tools for scientific / engineering applications.,279.0,37,True,2024-04-29 02:18:56.000,0.13.7,25.0,pyqtgraph,conda-forge/pyqtgraph,,,,10316.0,9402.0,https://pypi.org/project/pyqtgraph,2024-04-29 02:18:56.000,914.0,230173.0,241457.0,https://anaconda.org/conda-forge/pyqtgraph,2024-05-02 20:24:38.556,530365.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +98,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2024-05-09 00:00:08.000000,2024-05-09 00:00:08,3848.0,24.0,523.0,147.0,1157.0,145.0,1638.0,2142.0,Rasterio reads and writes geospatial raster datasets.,156.0,37,True,2024-04-12 18:29:54.000,1.3.10,157.0,rasterio,conda-forge/rasterio,,,,12571.0,11357.0,https://pypi.org/project/rasterio,2024-04-16 21:46:35.000,1214.0,2647449.0,2720957.0,https://anaconda.org/conda-forge/rasterio,2024-04-13 12:29:45.854,2940011.0,,,,,2.0,859.0,,,,,,,,,,,,,,,,,,, +99,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2024-04-08 21:04:04.101000,2024-03-21 08:08:33,1233.0,22.0,209.0,32.0,47.0,13.0,164.0,1572.0,Simple Python interface for Graphviz.,23.0,37,True,2024-03-21 07:50:43.000,0.20.3,58.0,graphviz,anaconda/python-graphviz,,,,67495.0,65182.0,https://pypi.org/project/graphviz,2024-03-21 07:50:43.000,2313.0,10651418.0,10651944.0,https://anaconda.org/anaconda/python-graphviz,2024-04-08 21:04:04.101,44740.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +100,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2024-05-08 12:28:44.000000,2024-05-05 06:53:19,1528.0,9.0,283.0,31.0,487.0,105.0,494.0,1412.0,Python library for reading and writing image data.,111.0,37,True,2024-04-22 02:22:40.000,2.34.1,91.0,imageio,conda-forge/imageio,,,,127677.0,125520.0,https://pypi.org/project/imageio,2024-04-22 02:22:35.000,2157.0,22850298.0,22987361.0,https://anaconda.org/conda-forge/imageio,2024-04-22 04:44:13.491,6304251.0,,,,,2.0,1042.0,,,,,,,,,,,,,,,,,,, +101,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2024-05-08 02:07:57.000000,2024-05-08 02:07:54,1521.0,41.0,199.0,47.0,562.0,32.0,756.0,1129.0,Fiona reads and writes geographic data files.,73.0,37,True,2024-03-08 16:14:09.000,1.9.6,112.0,fiona,conda-forge/fiona,,,,19896.0,19787.0,https://pypi.org/project/fiona,2024-04-16 20:38:29.000,109.0,6330598.0,6449395.0,https://anaconda.org/conda-forge/fiona,2024-03-08 21:09:14.732,5464704.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +102,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2024-05-08 20:08:37.000000,2024-05-08 18:48:03,10282.0,65.0,548.0,68.0,2397.0,296.0,1760.0,1109.0,Machine learning for NeuroImaging in Python.,235.0,37,True,2024-04-09 09:15:50.000,0.10.4,47.0,nilearn,conda-forge/nilearn,,,['sklearn'],3397.0,3125.0,https://pypi.org/project/nilearn,2024-04-09 09:09:58.000,272.0,69237.0,75615.0,https://anaconda.org/conda-forge/nilearn,2024-04-09 13:18:52.622,267725.0,,,,,1.0,160.0,,,,,,,,,,,,,,,,,,, +103,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2024-05-08 07:52:03.000000,2024-05-08 07:52:03,2292.0,9.0,5171.0,500.0,157.0,1076.0,1356.0,21387.0,State-of-the-art 2D and 3D Face Analysis Project.,60.0,36,True,2023-04-02 08:03:01.222,0.7.3,28.0,insightface,,,,['mxnet'],2104.0,2084.0,https://pypi.org/project/insightface,2022-12-17 02:14:00.699,20.0,397102.0,633013.0,,,,,,,,2.0,3066851.0,,,,,,,,,,,,,,,,,,, +104,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2024-03-27 09:20:02.000000,2024-03-03 06:50:21,1649.0,2.0,2825.0,379.0,458.0,13.0,1845.0,14473.0,Python Echarts Plotting Library.,42.0,36,True,2024-03-03 07:03:55.000,2.0.5,73.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],4335.0,4083.0,https://pypi.org/project/pyecharts,2024-03-03 07:02:08.000,252.0,169686.0,169688.0,,,,,,,,2.0,44.0,,,,,,,,,,,,,,,,,,, +105,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2024-04-06 08:14:32.000000,2020-06-01 14:58:26,2913.0,,2413.0,233.0,338.0,300.0,224.0,14169.0,Image augmentation for machine learning experiments.,36.0,36,False,2020-02-06 06:18:40.000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,19904.0,19653.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,251.0,408512.0,411140.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,155072.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +106,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2024-05-09 14:43:13.000000,2024-05-09 13:40:36,3372.0,284.0,1636.0,126.0,3655.0,195.0,3039.0,13782.0,"LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",241.0,36,True,2024-05-07 09:03:14.000,2.1.0,93.0,haystack,,,,,241.0,236.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,5.0,4036.0,4036.0,,,,,,,,2.0,24.0,,,,,,,,,,,,,,,,,,, +107,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2024-05-08 15:09:05.000000,2024-05-07 08:49:47,6209.0,86.0,3379.0,242.0,1571.0,1107.0,4028.0,10554.0,Open-source simulator for autonomous driving research.,187.0,36,True,2023-11-14 22:51:02.000,0.9.15,26.0,carla,,,,,710.0,703.0,https://pypi.org/project/carla,2023-11-14 22:51:02.000,7.0,12425.0,12425.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +108,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2024-05-09 14:13:05.000000,2024-05-08 21:56:38,6450.0,350.0,2080.0,188.0,6426.0,126.0,2009.0,10157.0,"A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal,..",309.0,36,True,2024-02-28 06:18:16.000,1.23.0,72.0,nemo-toolkit,,,,['pytorch'],31.0,21.0,https://pypi.org/project/nemo-toolkit,2024-02-28 05:27:18.000,10.0,50221.0,53210.0,,,,,,,,2.0,167404.0,,,,,,,,,,,,,,,,,,, +109,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2024-05-09 15:13:49.000000,2024-05-08 17:47:01,20230.0,987.0,493.0,52.0,2927.0,487.0,1005.0,6750.0,"Visualize, create, and debug image and video datasets and model predictions.",120.0,36,True,2024-04-15 21:52:17.000,0.23.8,142.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",574.0,562.0,https://pypi.org/project/fiftyone,2024-04-15 21:52:17.000,12.0,63467.0,63467.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +110,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 05:08:26.000,2024-04-01 18:07:01.000000,2024-04-01 11:19:59,863.0,8.0,1273.0,141.0,499.0,40.0,554.0,6710.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,84.0,36,True,2024-03-31 19:38:20.000,0.12.2,36.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],27365.0,26982.0,https://pypi.org/project/imbalanced-learn,2024-03-31 19:27:16.000,383.0,10900516.0,10912356.0,https://anaconda.org/conda-forge/imbalanced-learn,2024-03-31 19:50:51.503,556493.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +111,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2024-04-28 01:37:29.000000,2023-12-31 11:04:55,953.0,,796.0,87.0,204.0,114.0,657.0,4190.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",48.0,36,True,2023-12-31 11:17:16.000,80,72.0,opencv-python,,,,,397307.0,388089.0,https://pypi.org/project/opencv-python,2023-12-31 13:34:00.000,9218.0,13819094.0,13819094.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +112,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2024-05-09 12:45:42.000000,2024-05-06 15:21:43,2338.0,130.0,205.0,64.0,133.0,66.0,563.0,3835.0,A Grammar of Graphics for Python.,107.0,36,True,2024-04-26 19:26:18.000,0.13.5,26.0,plotnine,conda-forge/plotnine,,,,7790.0,7530.0,https://pypi.org/project/plotnine,2024-04-26 18:19:23.000,260.0,3041746.0,3049327.0,https://anaconda.org/conda-forge/plotnine,2024-04-26 19:27:02.919,356330.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +113,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2024-05-07 19:49:26.000000,2024-05-02 08:02:26,8512.0,57.0,698.0,100.0,13182.0,52.0,829.0,3701.0,State of the Art Natural Language Processing.,112.0,36,True,2024-04-05 17:44:10.000,5.3.3,141.0,spark-nlp,,,,['spark'],457.0,424.0,https://pypi.org/project/spark-nlp,2024-04-05 16:57:09.000,33.0,4087811.0,4087811.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +114,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2024-05-04 06:12:13.000000,2024-04-23 07:20:16,5324.0,11.0,275.0,79.0,791.0,19.0,124.0,2796.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",63.0,36,True,2024-04-19 11:40:18.000,9.0.0,234.0,thinc,conda-forge/thinc,,,,46739.0,46614.0,https://pypi.org/project/thinc,2024-04-19 11:39:47.000,125.0,9081452.0,9139089.0,https://anaconda.org/conda-forge/thinc,2023-12-29 09:50:56.118,2766582.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +115,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2024-05-09 13:13:10.000000,2024-05-09 10:48:31,4363.0,261.0,434.0,36.0,3233.0,550.0,1068.0,2384.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,159.0,36,True,2024-05-04 07:48:44.000,0.43.7,93.0,pyvista,conda-forge/pyvista,,,['jupyter'],3384.0,2915.0,https://pypi.org/project/pyvista,2024-05-04 07:48:44.000,469.0,260136.0,270149.0,https://anaconda.org/conda-forge/pyvista,2024-05-04 09:09:26.421,470150.0,,,,,2.0,796.0,,,,,,,,,,,,,,,,,,, +116,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2024-05-09 14:55:08.000000,2024-05-09 14:30:30,4151.0,235.0,538.0,44.0,4479.0,291.0,959.0,2124.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,166.0,36,True,2024-05-06 23:38:06.000,0.36.0,57.0,pennylane,conda-forge/pennylane,,,,976.0,874.0,https://pypi.org/project/pennylane,2024-05-06 23:38:06.000,102.0,65794.0,67280.0,https://anaconda.org/conda-forge/pennylane,2024-05-07 13:17:23.986,44558.0,,,,,1.0,77.0,,,,,,,,,,,,,,,,,,, +117,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2024-05-08 19:01:23.000000,2024-05-07 11:30:21,1778.0,123.0,377.0,26.0,1497.0,69.0,744.0,1962.0,"Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.",239.0,36,True,2024-05-06 09:20:11.000,1.4.0,45.0,metrics,conda-forge/torchmetrics,,,['pytorch'],24400.0,24398.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,2.0,4412.0,39403.0,https://anaconda.org/conda-forge/torchmetrics,2024-05-06 21:04:38.969,1324589.0,,,,,2.0,5116.0,,,Lightning-AI/torchmetrics,,,,,,,,,,,,,,,, +118,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2024-05-05 02:16:05.000000,2024-04-08 14:41:27,1540.0,16.0,372.0,47.0,1491.0,175.0,678.0,1532.0,Exploratory analysis of Bayesian models with Python.,156.0,36,True,2024-04-05 08:50:12.000,0.18.0,37.0,arviz,conda-forge/arviz,,,,6717.0,6435.0,https://pypi.org/project/arviz,2024-04-05 08:50:12.000,282.0,2102641.0,2146651.0,https://anaconda.org/conda-forge/arviz,2024-04-08 15:25:03.090,2112468.0,,,,,1.0,135.0,,,,,,,,,,,,,,,,,,, +119,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2024-05-06 13:09:16.000000,2024-05-06 13:09:16,5858.0,92.0,257.0,37.0,806.0,128.0,403.0,625.0,Python package to access a cacophony of neuro-imaging file formats.,104.0,36,True,2024-02-27 04:17:30.000,5.2.1,42.0,nibabel,conda-forge/nibabel,,,,19748.0,18729.0,https://pypi.org/project/nibabel,2024-02-27 04:13:17.000,1019.0,496322.0,511245.0,https://anaconda.org/conda-forge/nibabel,2024-02-27 14:41:50.570,701407.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +120,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2024-05-08 14:26:25.000000,2024-02-10 14:20:58,4668.0,1.0,3482.0,263.0,729.0,74.0,953.0,29661.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",164.0,35,True,2023-12-12 15:27:06.000,0.22.0,98.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",1249.0,1203.0,https://pypi.org/project/tts,2023-12-12 15:27:06.000,46.0,126944.0,184154.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,11327.0,,,,,1.0,2160116.0,,,,,,,,,,,,,,,,,,, +121,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2024-05-04 06:59:48.000000,2024-03-13 13:24:17,2322.0,2.0,6242.0,419.0,1334.0,1242.0,3042.0,29334.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,425.0,35,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],3207.0,3100.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,107.0,287487.0,288899.0,https://anaconda.org/conda-forge/fairseq,2023-12-03 20:00:06.516,64777.0,,,,,2.0,332.0,,,,,,,,,,,,,,,,,,, +122,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2024-03-27 11:25:38.000000,2023-09-04 11:42:16,615.0,,2940.0,306.0,246.0,382.0,588.0,22109.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",128.0,35,True,2023-09-04 11:55:27.000,1.7.1,32.0,easyocr,,,,,6418.0,6249.0,https://pypi.org/project/easyocr,2023-09-04 11:55:27.000,169.0,235232.0,465289.0,,,,,,,,1.0,10812722.0,,,,,,,,,,,,,,,,,,, +123,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2024-05-01 18:45:29.000000,2024-05-01 02:28:51,8867.0,51.0,2994.0,270.0,1242.0,154.0,682.0,18053.0,Best Practices on Recommendation Systems.,131.0,35,True,2024-05-01 18:45:29.000,1.2.0,13.0,recommenders,,,,,112.0,108.0,https://pypi.org/project/recommenders,2024-05-01 18:45:29.000,4.0,22148.0,22155.0,,,,,,,,1.0,485.0,,,recommenders-team/recommenders,,,,,,,,,,,,,,,, +124,ivy,unifyai/ivy,ml-frameworks,,https://github.com/unifyai/ivy,https://github.com/unifyai/ivy,Apache-2.0,2021-01-19 08:37:25.000,2024-05-06 06:32:37.000000,2024-05-02 08:41:34,18262.0,625.0,5865.0,71.0,11675.0,1020.0,15930.0,14021.0,The Unified AI Framework.,1471.0,35,True,2023-06-29 19:33:01.167,0.0.0,116.0,ivy,,,,,12.0,,https://pypi.org/project/ivy,2024-03-15 11:49:07.000,12.0,924.0,924.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +125,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2024-03-27 20:19:41.000000,2024-03-25 12:37:43,1333.0,1.0,2213.0,333.0,1588.0,387.0,1857.0,13968.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",172.0,35,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,1167.0,1138.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,29.0,66870.0,66870.0,,,,,,,,2.0,,,stable/horovod,,,,,,,,,,,,,,,,, +126,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2024-04-24 19:01:00.000000,2021-06-01 10:43:00,1848.0,,4403.0,546.0,716.0,402.0,1271.0,13905.0,"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,,,,,5741.0,5723.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,18.0,32844.0,32844.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +127,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2024-05-02 09:05:39.790000,2023-08-20 17:38:53,890.0,,1139.0,317.0,267.0,55.0,343.0,12744.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,88.0,35,True,2023-06-14 16:39:02.504,1.17.3,47.0,annoy,conda-forge/python-annoy,,,,4017.0,3833.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,184.0,1288541.0,1297750.0,https://anaconda.org/conda-forge/python-annoy,2024-05-02 09:05:39.790,405221.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +128,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,,2244.0,279.0,3096.0,91.0,2477.0,11701.0,"An open-source NLP research library, built on PyTorch.",266.0,35,False,2022-10-18 23:54:05.191,2.10.1,265.0,allennlp,conda-forge/allennlp,,,['pytorch'],4176.0,4051.0,https://pypi.org/project/allennlp,2022-10-18 23:54:05.191,125.0,53106.0,55017.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,124259.0,,,,,2.0,62.0,,,,,,,,,,,,,,,,,,, +129,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2024-05-07 13:46:36.000000,2024-04-22 23:01:37,2591.0,61.0,625.0,100.0,471.0,555.0,1228.0,8963.0,An open source multi-tool for exploring and publishing data.,78.0,35,True,2023-12-22 23:22:42.000,0.64.6,147.0,datasette,conda-forge/datasette,,,,1481.0,1248.0,https://pypi.org/project/datasette,2024-03-13 02:20:24.000,233.0,42964.0,43860.0,https://anaconda.org/conda-forge/datasette,2024-01-03 22:47:34.900,33115.0,,,,,2.0,64.0,,,,,,,,,datasette,,,,,,,,,, +130,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2024-05-07 12:29:37.000000,2022-12-08 17:49:19,746.0,,1002.0,135.0,229.0,352.0,272.0,8374.0,Manipulate audio with a simple and easy high level interface.,95.0,35,False,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,57559.0,56466.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1093.0,4594332.0,4595740.0,https://anaconda.org/conda-forge/pydub,2023-06-16 16:12:25.533,91553.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +131,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2024-05-06 02:00:59.322000,2024-05-05 04:04:50,542.0,55.0,2366.0,283.0,153.0,320.0,317.0,8062.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",50.0,35,True,2024-05-05 04:42:09.000,3.10.4,59.0,SpeechRecognition,conda-forge/speechrecognition,,,,503.0,21.0,https://pypi.org/project/SpeechRecognition,2024-05-05 04:36:10.000,482.0,765212.0,769235.0,https://anaconda.org/conda-forge/speechrecognition,2024-05-06 02:00:59.322,181050.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +132,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 16:08:07.000,2024-05-09 15:09:19.000000,2024-05-07 21:36:26,32439.0,96.0,1988.0,384.0,6813.0,2752.0,6597.0,6744.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",264.0,35,True,,,151.0,h2o,,,,,65.0,21.0,https://pypi.org/project/h2o,2024-03-14 11:02:05.000,44.0,313521.0,313521.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +133,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2024-05-02 17:53:32.093000,2024-05-02 14:25:23,3272.0,11.0,922.0,137.0,651.0,52.0,1131.0,6717.0,Python library for audio and music analysis.,120.0,35,True,2024-05-02 17:33:29.000,0.10.2,42.0,librosa,conda-forge/librosa,,,,1177.0,,https://pypi.org/project/librosa,2024-05-02 17:33:29.000,1177.0,2742632.0,2758673.0,https://anaconda.org/conda-forge/librosa,2024-05-02 17:53:32.093,737890.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +134,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2024-05-06 21:03:12.000000,2024-03-18 16:03:25,2890.0,14.0,2225.0,175.0,1147.0,28.0,1419.0,6592.0,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,192.0,35,True,2024-03-18 14:02:12.000,3.5.1,50.0,OpenNMT-py,,,,['pytorch'],287.0,269.0,https://pypi.org/project/OpenNMT-py,2024-03-18 14:02:12.000,18.0,12937.0,12937.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +135,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2024-05-09 10:35:29.000000,2024-05-09 05:27:02,3078.0,155.0,740.0,73.0,3441.0,227.0,817.0,6586.0,"The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference..",199.0,35,True,2024-05-08 10:08:44.000,1.2.14,145.0,bentoml,,,,,1800.0,1777.0,https://pypi.org/project/bentoml,2024-05-08 10:08:44.000,23.0,85724.0,85754.0,,,,,,,,2.0,1671.0,,,,,,,,,,,,,,,,,,, +136,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2024-05-09 13:46:05.000000,2024-05-09 13:46:02,3027.0,74.0,973.0,89.0,3332.0,333.0,2652.0,5376.0,AI Toolkit for Healthcare Imaging.,189.0,35,True,2023-10-12 17:37:33.000,1.3.0,83.0,monai,conda-forge/monai,,,['pytorch'],2281.0,2192.0,https://pypi.org/project/monai,2024-04-26 07:08:08.000,89.0,156726.0,157521.0,https://anaconda.org/conda-forge/monai,2023-10-12 17:35:33.024,23081.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +137,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2024-05-08 16:28:04.000000,2024-05-08 15:56:21,3761.0,98.0,806.0,58.0,1556.0,366.0,1240.0,4000.0,"Serve, optimize and scale PyTorch models in production.",192.0,35,True,2024-03-15 00:03:31.000,0.10.0,23.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],668.0,647.0,https://pypi.org/project/torchserve,2024-03-14 21:47:35.000,21.0,48810.0,75199.0,https://anaconda.org/pytorch/torchserve,2024-03-14 21:47:30.323,175903.0,https://hub.docker.com/r/pytorch/torchserve,2024-03-14 22:46:13.511478,25.0,1247718.0,2.0,5660.0,,,,,,,,,,,,,,,,,,, +138,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2024-05-09 11:39:05.000000,2024-04-24 22:56:36,1309.0,10.0,810.0,285.0,1466.0,323.0,516.0,3446.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",155.0,35,True,2024-04-24 16:20:45.000,0.18.0,34.0,torchtext,,,,['pytorch'],259.0,,https://pypi.org/project/torchtext,2024-04-24 15:49:45.000,259.0,673283.0,673283.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +139,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2024-04-17 14:03:11.000000,2024-04-17 14:03:11,7374.0,18.0,616.0,116.0,1163.0,348.0,1109.0,3225.0,High-performance interactive 2D/3D data visualization library.,194.0,35,True,2024-03-14 16:50:16.000,0.14.2,38.0,vispy,conda-forge/vispy,,,['jupyter'],1653.0,1505.0,https://pypi.org/project/vispy,2024-03-14 16:13:05.000,145.0,98042.0,108980.0,https://anaconda.org/conda-forge/vispy,2024-03-15 02:52:28.032,480748.0,,,,,2.0,,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,3.0,12.0,,,,,,,,,,, +140,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2024-05-09 11:34:50.000000,2024-03-24 23:49:13,2305.0,5.0,627.0,73.0,2871.0,221.0,719.0,2388.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",225.0,35,True,2024-04-24 16:19:43.000,2.3.0,34.0,torchaudio,,,,['pytorch'],1035.0,,https://pypi.org/project/torchaudio,2024-04-24 15:48:50.000,1035.0,6030356.0,6030356.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +141,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2024-05-09 13:13:04.000000,2024-05-09 13:08:24,3026.0,191.0,294.0,68.0,1760.0,114.0,614.0,2276.0,Adaptive Experimentation Platform.,168.0,35,True,2024-05-02 22:09:25.000,0.4.0,41.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],756.0,708.0,https://pypi.org/project/ax-platform,2024-05-02 22:09:25.000,48.0,91042.0,91587.0,https://anaconda.org/conda-forge/ax-platform,2024-05-03 19:13:18.752,19079.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +142,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,BSD-3-Clause,2012-08-03 07:43:59.000,2024-05-04 02:22:50.000000,2024-05-04 02:22:50,3023.0,70.0,360.0,55.0,1157.0,307.0,952.0,1360.0,Cartopy - a cartographic python library with matplotlib support.,125.0,35,True,2024-04-10 17:52:06.000,0.23.0,30.0,cartopy,conda-forge/cartopy,,,,5436.0,4861.0,https://pypi.org/project/cartopy,2024-04-10 17:52:06.000,575.0,230569.0,304228.0,https://anaconda.org/conda-forge/cartopy,2024-04-11 10:31:26.888,3535642.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +143,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2024-04-28 23:29:41.096000,2024-04-28 20:57:25,1553.0,25.0,152.0,41.0,133.0,4.0,642.0,1165.0,A Python data analysis library that is optimized for humans instead of machines.,53.0,35,True,2024-04-28 20:24:49.000,1.10.2,35.0,agate,conda-forge/agate,,,,3186.0,3142.0,https://pypi.org/project/agate,2024-04-28 20:24:49.000,44.0,6396548.0,6401400.0,https://anaconda.org/conda-forge/agate,2024-04-28 23:29:41.096,174697.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +144,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 06:45:41.000,2024-05-08 20:09:13.000000,2024-05-08 09:26:15,1668.0,102.0,168.0,30.0,1560.0,68.0,178.0,1162.0,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,79.0,35,True,2024-04-11 16:14:44.000,2024.3.0,26.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],10638.0,10596.0,https://pypi.org/project/scikit-learn-intelex,2024-04-11 13:19:45.000,42.0,120618.0,127623.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2024-04-19 14:33:00.666,259194.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +145,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2024-05-01 02:52:24.565000,2024-04-20 13:16:16,1546.0,16.0,212.0,34.0,686.0,31.0,572.0,993.0,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,,,,31160.0,29661.0,https://pypi.org/project/pyproj,2023-09-21 02:07:12.000,1499.0,8840769.0,9004570.0,https://anaconda.org/conda-forge/pyproj,2024-05-01 02:52:24.565,7534874.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +146,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2024-05-06 11:54:14.000000,2024-05-06 11:54:14,14881.0,75.0,506.0,51.0,2291.0,393.0,960.0,734.0,Workflows and interfaces for neuroimaging packages.,256.0,35,True,2023-04-06 12:55:55.544,1.8.6,64.0,nipype,conda-forge/nipype,,,,4448.0,4315.0,https://pypi.org/project/nipype,2023-04-06 12:55:55.544,133.0,156562.0,170040.0,https://anaconda.org/conda-forge/nipype,2023-09-22 18:28:24.915,606533.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +147,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2024-05-09 08:33:42.000000,2024-05-08 05:15:28,1517.0,16.0,7248.0,384.0,661.0,487.0,3051.0,28815.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",268.0,34,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],1779.0,1768.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,11.0,1.0,5371.0,https://anaconda.org/conda-forge/detectron2,2024-01-18 08:57:46.349,247056.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +148,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2024-05-09 03:30:00.000000,2024-05-09 03:29:53,7953.0,335.0,2669.0,295.0,193.0,27.0,1050.0,26233.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,34,True,2024-05-04 04:07:15.000,7.6.4,641.0,netron,,,,"['pytorch', 'tensorflow']",90.0,12.0,https://pypi.org/project/netron,2024-05-04 04:07:15.000,78.0,24295.0,85969.0,,,,,,,,1.0,61674.0,,,,,,,,,,,,,,,,,,, +149,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2024-03-22 21:40:44.000000,2024-03-13 15:16:33,391.0,2.0,4675.0,845.0,268.0,556.0,611.0,25606.0,Library for fast text representation and classification.,68.0,34,True,2020-04-28 09:54:50.000,0.9.2,36.0,fasttext,conda-forge/fasttext,,,,6147.0,5922.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000,225.0,1133439.0,1135221.0,https://anaconda.org/conda-forge/fasttext,2023-09-26 23:15:16.887,78451.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +150,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,libpng-2.0,2018-08-02 17:56:45.000,2024-05-09 12:30:40.000000,2024-05-09 09:57:52,18161.0,1098.0,2705.0,379.0,4947.0,426.0,3415.0,21389.0,The platform for customizing AI from enterprise data.,826.0,34,False,2024-04-15 13:43:59.000,24.4.3.0,462.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,2024-04-15 13:45:13.000,,21081.0,21081.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +151,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2024-05-04 20:00:03.000000,2023-10-18 07:33:05,791.0,,4457.0,437.0,442.0,401.0,1726.0,17807.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,173.0,34,True,2023-10-10 12:57:04.000,1.1.5,16.0,fbprophet,conda-forge/prophet,,,,110.0,21.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,89.0,815145.0,846546.0,https://anaconda.org/conda-forge/prophet,2023-10-20 01:36:39.935,1160783.0,,,,,1.0,2499.0,-1.0,,,,,,,,,,,,,,,,,, +152,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2024-05-06 22:02:49.000000,2024-04-29 16:39:29,3849.0,28.0,1163.0,192.0,2853.0,365.0,757.0,10846.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",155.0,34,True,2024-04-08 23:26:12.000,0.10.3,55.0,ludwig,,,,['tensorflow'],257.0,248.0,https://pypi.org/project/ludwig,2024-04-08 23:26:12.000,9.0,4324.0,4324.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +153,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2024-03-19 22:44:23.623000,2023-12-09 05:39:53,576.0,,2301.0,219.0,245.0,119.0,417.0,9962.0,A little word cloud generator in Python.,72.0,34,True,2023-12-09 14:04:35.000,1.9.3,20.0,wordcloud,conda-forge/wordcloud,,,,509.0,21.0,https://pypi.org/project/wordcloud,2023-12-09 14:04:35.000,488.0,1830436.0,1840731.0,https://anaconda.org/conda-forge/wordcloud,2024-03-19 22:44:23.623,473578.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +154,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 19:36:58.000,2024-05-09 14:13:36.000000,2024-04-11 15:43:27,10412.0,9.0,1965.0,349.0,3424.0,143.0,1134.0,8409.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,336.0,34,True,2023-07-19 17:15:55.000,9.9.0,29.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,38.0,,https://pypi.org/project/vowpalwabbit,2023-07-19 17:15:55.000,38.0,100019.0,103540.0,https://anaconda.org/conda-forge/vowpalwabbit,2024-04-26 11:19:26.965,151403.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +155,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2024-05-07 17:19:47.000000,2024-05-07 17:19:43,2471.0,27.0,986.0,201.0,2300.0,253.0,839.0,8377.0,Deep universal probabilistic programming with Python and PyTorch.,155.0,34,True,2024-02-19 18:03:28.000,1.9.0,35.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],172.0,,https://pypi.org/project/pyro-ppl,2024-02-19 18:03:28.000,172.0,269377.0,273595.0,https://anaconda.org/conda-forge/pyro-ppl,2024-02-20 17:06:11.848,160318.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +156,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2024-05-08 14:49:36.000000,2024-03-16 17:36:36,1731.0,4.0,1318.0,149.0,217.0,207.0,146.0,7982.0,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection).,50.0,34,True,2024-02-09 06:52:05.000,1.1.3,91.0,pyod,conda-forge/pyod,,,,3762.0,3656.0,https://pypi.org/project/pyod,2024-02-09 06:50:32.000,106.0,723627.0,725634.0,https://anaconda.org/conda-forge/pyod,2024-02-09 07:53:55.073,96362.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +157,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2024-04-28 06:22:09.150000,2024-04-28 03:56:14,675.0,7.0,335.0,68.0,110.0,34.0,138.0,7957.0,"Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others).",26.0,34,True,2024-04-28 04:07:49.000,0.8.0,15.0,einops,conda-forge/einops,,,,35360.0,33632.0,https://pypi.org/project/einops,2024-04-28 04:07:49.000,1728.0,7179432.0,7184273.0,https://anaconda.org/conda-forge/einops,2024-04-28 06:22:09.150,208168.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +158,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2024-05-09 09:11:54.860000,2024-05-08 22:20:11,911.0,64.0,719.0,280.0,1203.0,315.0,369.0,7630.0,"Build and manage real-life ML, AI, and data science projects with ease!.",88.0,34,True,2024-05-08 22:46:11.000,2.11.15,122.0,metaflow,conda-forge/metaflow,,,,682.0,640.0,https://pypi.org/project/metaflow,2024-05-08 22:46:11.000,42.0,537290.0,540965.0,https://anaconda.org/conda-forge/metaflow,2024-05-09 09:11:54.860,169078.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +159,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2024-05-09 07:41:05.000000,2024-04-20 16:29:42,4447.0,163.0,870.0,141.0,483.0,91.0,785.0,7061.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",68.0,34,True,2024-04-20 18:58:25.000,1.8.2,25.0,stanza,stanfordnlp/stanza,,,,2890.0,2722.0,https://pypi.org/project/stanza,2024-04-20 18:57:48.000,168.0,222956.0,223104.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,7410.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +160,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2024-05-09 13:27:11.000000,2024-05-07 18:27:47,1361.0,38.0,854.0,158.0,1706.0,177.0,830.0,7051.0,An open source python library for automated feature engineering.,72.0,34,True,2024-02-26 17:29:32.000,1.30.0,105.0,featuretools,conda-forge/featuretools,,,,1704.0,1626.0,https://pypi.org/project/featuretools,2024-02-26 17:29:32.000,78.0,57215.0,61081.0,https://anaconda.org/conda-forge/featuretools,2024-02-27 14:54:50.393,181739.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +161,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2024-04-27 14:18:10.000000,2023-11-16 08:43:39,1418.0,,872.0,219.0,222.0,174.0,233.0,6806.0,Efficiently computes derivatives of numpy code.,56.0,34,True,2023-06-23 08:37:07.368,1.6.2,29.0,autograd,conda-forge/autograd,,,,8345.0,8083.0,https://pypi.org/project/autograd,2023-06-23 08:37:07.368,262.0,1421217.0,1439538.0,https://anaconda.org/conda-forge/autograd,2023-06-26 15:21:38.267,421383.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +162,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2024-05-08 20:41:19.000000,2024-05-08 20:41:13,2348.0,52.0,634.0,93.0,257.0,459.0,541.0,5281.0,"ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline,..",94.0,34,True,2024-04-09 16:24:23.000,1.15.1,160.0,clearml,,allegroai/trains,,,1121.0,1088.0,https://pypi.org/project/clearml,2024-05-08 16:43:22.000,33.0,297405.0,297958.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30238.0,2.0,2448.0,,,,,,,,,,,,,,,,,,, +163,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2024-05-09 13:01:47.000000,2024-05-06 11:33:58,29837.0,266.0,1564.0,182.0,2098.0,35.0,1588.0,4829.0,"mlpack: a fast, header-only C++ machine learning library.",316.0,34,True,2023-12-12 00:54:05.000,4.3.0,46.0,mlpack,conda-forge/mlpack,,,,1.0,,https://pypi.org/project/mlpack,2024-04-10 13:40:15.000,1.0,5318.0,9081.0,https://anaconda.org/conda-forge/mlpack,2023-11-29 00:35:31.566,176867.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +164,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2024-03-31 13:12:23.000000,2024-03-31 13:12:23,1645.0,8.0,845.0,117.0,527.0,144.0,341.0,4772.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,106.0,34,True,2024-01-05 09:13:47.000,0.23.1,52.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],13440.0,13287.0,https://pypi.org/project/mlxtend,2024-01-05 09:13:47.000,153.0,632091.0,638694.0,https://anaconda.org/conda-forge/mlxtend,2024-01-05 18:58:45.309,303758.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +165,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 14:40:43.000,2024-05-07 13:51:52.000000,2024-05-06 14:43:44,12226.0,77.0,1105.0,101.0,1339.0,152.0,752.0,4489.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",135.0,34,True,2024-02-17 23:58:41.000,1.17.1,58.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,525.0,514.0,https://pypi.org/project/adversarial-robustness-toolbox,2024-02-17 23:56:02.000,11.0,27904.0,28733.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2024-02-18 02:39:29.665,38172.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +166,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2024-05-09 13:07:09.000000,2024-05-08 08:17:10,1693.0,34.0,607.0,60.0,1840.0,155.0,1259.0,4461.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,503.0,34,True,2024-04-01 10:35:11.000,0.5.0.post2,1614.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],2942.0,2861.0,https://pypi.org/project/pytorch-ignite,2024-05-09 00:13:36.000,81.0,251003.0,253552.0,https://anaconda.org/pytorch/ignite,2024-04-01 12:32:01.049,181011.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +167,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2024-04-30 07:51:39.000000,2024-04-30 07:51:39,1150.0,19.0,591.0,118.0,871.0,305.0,1052.0,4086.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",165.0,34,True,2024-04-22 23:27:42.000,7.2,47.0,coremltools,conda-forge/coremltools,,,,3969.0,3789.0,https://pypi.org/project/coremltools,2024-04-23 00:06:00.000,180.0,271647.0,273062.0,https://anaconda.org/conda-forge/coremltools,2023-06-16 19:23:14.592,55794.0,,,,,2.0,9440.0,,,,,,,,,,,,,,,,,,, +168,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2024-05-08 19:44:37.000000,2024-05-02 18:05:35,1286.0,17.0,244.0,36.0,440.0,90.0,217.0,3585.0,Lightning fast forecasting with statistical and econometric models.,39.0,34,True,2024-04-08 16:44:34.000,1.7.4,32.0,statsforecast,conda-forge/statsforecast,,,,889.0,859.0,https://pypi.org/project/statsforecast,2024-04-08 16:44:34.000,30.0,559841.0,562373.0,https://anaconda.org/conda-forge/statsforecast,2024-04-08 20:04:06.356,65836.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +169,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2024-05-07 05:39:07.350000,2024-04-08 16:26:55,1182.0,2.0,1674.0,150.0,210.0,7.0,690.0,3441.0,A library for transfer learning by reusing parts of TensorFlow models.,106.0,34,True,2024-01-30 15:53:29.000,0.16.1,20.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],285.0,,https://pypi.org/project/tensorflow-hub,2024-01-30 14:49:07.000,285.0,4677234.0,4679369.0,https://anaconda.org/conda-forge/tensorflow-hub,2024-05-07 05:39:07.350,96089.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +170,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2024-05-09 11:16:11.000000,2024-05-09 00:43:55,1866.0,84.0,371.0,53.0,1609.0,73.0,418.0,2960.0,Bayesian optimization in PyTorch.,112.0,34,True,2024-05-01 20:33:09.000,0.11.0,44.0,botorch,conda-forge/botorch,,,['pytorch'],1056.0,982.0,https://pypi.org/project/botorch,2024-05-01 20:33:09.000,74.0,124377.0,126721.0,https://anaconda.org/conda-forge/botorch,2024-05-01 22:13:21.203,105514.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +171,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2024-05-09 14:07:35.313000,2024-05-09 10:58:50,1026.0,68.0,369.0,57.0,1181.0,345.0,396.0,2175.0,Accelerate training and inference of Transformers and Diffusers with easy to use hardware optimization tools.,104.0,34,True,2024-05-09 11:17:31.000,1.19.2,63.0,optimum,conda-forge/optimum,,,,2467.0,2337.0,https://pypi.org/project/optimum,2024-05-09 11:10:12.000,130.0,1122442.0,1122985.0,https://anaconda.org/conda-forge/optimum,2024-05-09 14:07:35.313,13585.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +172,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2024-05-07 15:09:16.000000,2024-05-07 16:39:52,5169.0,110.0,515.0,19.0,1269.0,1036.0,643.0,2117.0,"This is the development home of the workflow management system Snakemake. For general information, see.",325.0,34,True,2024-05-03 12:11:52.000,8.11.3,334.0,snakemake,bioconda/snakemake,,,,2186.0,1968.0,https://pypi.org/project/snakemake,2024-05-03 12:11:52.000,218.0,98318.0,108419.0,https://anaconda.org/bioconda/snakemake,2024-05-03 18:24:01.575,1040465.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +173,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 01:09:14.000,2024-05-09 01:37:33.000000,2024-04-24 16:43:22,4261.0,56.0,1070.0,153.0,1117.0,71.0,638.0,1777.0,Documentation and samples for ArcGIS API for Python.,91.0,34,True,2024-04-23 21:21:11.000,2.3.0,44.0,arcgis,,esridocker/arcgis-api-python-notebook,,,786.0,750.0,https://pypi.org/project/arcgis,2024-05-03 16:52:08.000,36.0,75451.0,75572.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,2.0,11201.0,,,,,,,,,,,,,,,,,,, +174,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2024-05-02 20:10:29.000000,2024-03-13 00:47:35,874.0,5.0,328.0,44.0,1020.0,168.0,169.0,1197.0,Making text a first-class citizen in TensorFlow.,113.0,34,True,2024-03-11 20:48:59.000,2.16.1,69.0,tensorflow-text,,,,['tensorflow'],6978.0,6775.0,https://pypi.org/project/tensorflow-text,2024-03-11 17:56:47.000,203.0,7221617.0,7221617.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +175,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2024-05-09 12:04:25.000000,2024-05-09 12:04:25,3094.0,99.0,4240.0,377.0,3888.0,415.0,1201.0,37974.0,"Making large AI models cheaper, faster and more accessible.",178.0,33,True,2024-04-27 11:00:32.000,0.3.7,37.0,,,,,,368.0,368.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +176,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2024-02-18 05:01:17.000000,2021-11-17 17:52:52,3466.0,,3875.0,663.0,1674.0,143.0,1985.0,24380.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",163.0,33,False,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],460.0,417.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,43.0,8445.0,25207.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,2659.0,,,,,2.0,1134576.0,11.0,,,,,,,,,,,,,,,,,, +177,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2024-04-30 20:50:54.000000,2023-07-11 13:03:36,1421.0,,3727.0,756.0,1136.0,408.0,588.0,18946.0,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'],509.0,504.0,https://pypi.org/project/magenta,2022-08-01 18:23:00.243,5.0,4003.0,4003.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +178,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2024-05-08 17:53:27.000000,2023-10-26 05:31:53,3012.0,,1800.0,284.0,3506.0,384.0,1681.0,13778.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,33,True,2023-09-14 12:12:06.000,3.0,55.0,nni,,,,,673.0,635.0,https://pypi.org/project/nni,2023-09-14 12:22:00.000,38.0,17199.0,17199.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +179,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2024-05-08 07:52:11.000000,2024-05-08 07:39:27,3800.0,38.0,889.0,136.0,174.0,102.0,1004.0,12119.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",96.0,33,True,2024-04-16 18:51:52.000,16.2.0,236.0,ocrmypdf,conda-forge/ocrmypdf,,,,831.0,808.0,https://pypi.org/project/ocrmypdf,2024-04-16 18:51:52.000,23.0,103058.0,105069.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,64414.0,,,,,2.0,3248.0,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,, +180,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2024-05-07 09:56:24.000000,2021-07-29 23:17:25,531.0,,1785.0,264.0,116.0,111.0,535.0,11315.0,Lime: Explaining the predictions of any machine learning classifier.,62.0,33,False,2020-04-03 22:05:03.000,0.2.0.0,39.0,lime,conda-forge/lime,,,,5711.0,5529.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,182.0,343910.0,346210.0,https://anaconda.org/conda-forge/lime,2023-06-16 13:18:57.655,204744.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +181,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2024-04-22 20:10:59.000000,2024-02-23 19:03:07,2440.0,6.0,1539.0,288.0,431.0,284.0,638.0,9515.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,121.0,33,False,2024-02-23 19:06:10.000,0.12.2,63.0,tpot,conda-forge/tpot,,,['sklearn'],2778.0,2741.0,https://pypi.org/project/tpot,2024-02-23 19:06:10.000,37.0,43553.0,48875.0,https://anaconda.org/conda-forge/tpot,2024-02-26 15:57:08.680,250137.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +182,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,,877.0,259.0,148.0,107.0,104.0,9128.0,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,,,,25065.0,24146.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,919.0,6997010.0,7002661.0,https://anaconda.org/conda-forge/fuzzywuzzy,2023-06-16 13:22:53.603,531211.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +183,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2024-03-20 22:02:13.000000,2024-03-20 22:02:12,1391.0,4.0,1399.0,302.0,894.0,136.0,759.0,9074.0,AutoML library for deep learning.,143.0,33,True,2024-03-20 21:40:33.000,2.0.0,59.0,autokeras,,,,['tensorflow'],686.0,673.0,https://pypi.org/project/autokeras,2024-03-20 21:40:33.000,13.0,18692.0,18923.0,,,,,,,,1.0,18069.0,,,,,,,,,,,,,,,,,,, +184,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2024-05-09 09:36:09.000000,2024-05-07 19:26:02,1198.0,57.0,801.0,61.0,962.0,264.0,1169.0,7321.0,A python library for user-friendly forecasting and anomaly detection on time series.,115.0,33,True,2024-04-17 11:54:28.000,0.29.0,42.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,611.0,605.0,https://pypi.org/project/u8darts,2024-04-17 11:54:28.000,6.0,22671.0,23935.0,https://anaconda.org/conda-forge/u8darts-all,2024-04-18 00:03:59.716,42710.0,https://hub.docker.com/r/unit8/darts,2024-04-17 11:31:17.149896,,569.0,2.0,,,,,,,,,,,,,,,,,,,, +185,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2024-05-09 14:57:48.000000,2024-05-09 13:31:25,38715.0,414.0,836.0,145.0,9560.0,1095.0,5122.0,7317.0,cuDF - GPU DataFrame Library.,281.0,33,True,2024-05-01 12:29:36.000,24.04.01,49.0,cudf,,,,,70.0,53.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,17.0,3005.0,3005.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +186,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2024-05-09 09:06:19.000000,2024-05-08 02:19:20,2206.0,111.0,846.0,98.0,2463.0,337.0,965.0,7186.0,Fast and Accurate ML in 3 Lines of Code.,122.0,33,True,2024-05-02 19:07:34.000,0.8.3,1477.0,autogluon,,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",703.0,685.0,https://pypi.org/project/autogluon,2024-05-09 09:06:19.000,18.0,82800.0,82930.0,,,,https://hub.docker.com/r/autogluon/autogluon,2024-03-07 07:21:23.461952,17.0,7551.0,1.0,,,,,,,,,,,,,,,,,,,, +187,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2024-04-30 19:08:04.000000,2024-04-25 01:14:03,1793.0,27.0,765.0,128.0,276.0,455.0,334.0,6970.0,Uniform Manifold Approximation and Projection.,130.0,33,True,2024-04-03 16:53:16.000,0.5.6,40.0,umap-learn,conda-forge/umap-learn,,,,834.0,1.0,https://pypi.org/project/umap-learn,2024-04-03 16:53:16.000,833.0,1227145.0,1278136.0,https://anaconda.org/conda-forge/umap-learn,2024-02-04 15:29:26.812,2396592.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +188,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/ipex-llm,https://github.com/intel-analytics/ipex-llm,Apache-2.0,2016-08-29 07:59:50.000,2024-05-09 13:10:44.000000,2024-05-09 11:50:04,2755.0,591.0,1202.0,243.0,8720.0,801.0,1447.0,6026.0,"Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel..",99.0,33,True,2023-11-13 02:02:20.000,2.4.0,869.0,bigdl,,,,,58.0,51.0,https://pypi.org/project/bigdl,2024-03-24 14:04:20.000,2.0,6620.0,6625.0,,,,,,,,2.0,465.0,,,intel-analytics/ipex-llm,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,5.0,,, +189,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2024-05-06 20:59:56.000000,2024-05-05 18:52:21,3126.0,142.0,710.0,140.0,105.0,100.0,331.0,6010.0,Fit interpretable models. Explain blackbox machine learning.,44.0,33,True,2024-04-14 22:32:49.000,0.6.1,49.0,interpret,,,,['jupyter'],716.0,673.0,https://pypi.org/project/interpret,2024-04-14 04:27:31.000,43.0,82742.0,82742.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +190,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,,1366.0,288.0,6588.0,13.0,2030.0,5867.0,A flexible framework of neural networks for deep learning.,324.0,33,False,2022-06-29 08:19:03.000,7.8.1.post1,111.0,chainer,conda-forge/chainer,,,,3292.0,3234.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,58.0,18487.0,18823.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,17163.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +191,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2024-05-07 17:56:16.000000,2024-05-07 17:47:54,1090.0,36.0,465.0,240.0,763.0,213.0,333.0,4596.0,Model interpretability and understanding for PyTorch.,111.0,33,True,2023-12-05 09:21:02.000,0.7.0,10.0,captum,conda-forge/captum,,,['pytorch'],2149.0,2036.0,https://pypi.org/project/captum,2023-12-05 08:32:04.000,113.0,224668.0,225513.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,24515.0,,,,,1.0,,2.0,,,,,,,,,,,,,,,,,, +192,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2024-04-13 17:37:46.000000,2023-12-03 03:47:34,490.0,,595.0,65.0,217.0,191.0,158.0,4033.0,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,,,,6496.0,6430.0,https://pypi.org/project/hnswlib,2023-12-03 04:16:17.000,66.0,887316.0,891033.0,https://anaconda.org/conda-forge/hnswlib,2023-09-27 14:20:16.958,152426.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +193,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2024-04-29 18:42:20.000000,2024-02-15 18:01:44,1293.0,1.0,2511.0,1967.0,533.0,386.0,1075.0,3956.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,33,True,2024-02-06 19:36:25.000,1.55.0,103.0,azureml-sdk,,,,,48.0,,https://pypi.org/project/azureml-sdk,2024-04-29 18:34:04.000,48.0,623046.0,623054.0,,,,,,,,2.0,557.0,,,,,,,,,,,,,,,,,,, +194,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2024-05-09 12:13:32.000000,2024-04-19 12:38:42,1498.0,8.0,363.0,90.0,743.0,137.0,443.0,3211.0,Quickly and accurately render even the largest data.,55.0,33,True,2024-04-23 11:57:48.000,0.16.1,46.0,datashader,conda-forge/datashader,,,,4205.0,4027.0,https://pypi.org/project/datashader,2024-04-19 12:59:51.000,178.0,103297.0,121054.0,https://anaconda.org/conda-forge/datashader,2024-04-23 12:02:45.109,852347.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +195,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2024-05-09 15:07:32.000000,2024-05-09 14:28:24,2990.0,128.0,308.0,25.0,2750.0,145.0,1742.0,3132.0,"Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data..",86.0,33,True,2024-05-09 15:13:09.000,1.28.0,100.0,rubrix,conda-forge/rubrix,,,,2458.0,2458.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,917.0,1952.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,30039.0,,,,,2.0,,,,argilla-io/argilla,,,,,,,,,,,,,,,, +196,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 08:02:14.000,2024-05-07 10:19:17.000000,2024-05-07 10:19:17,3709.0,28.0,190.0,50.0,1364.0,134.0,721.0,1967.0,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,,,,2137.0,2118.0,https://pypi.org/project/pythran,2024-01-07 21:21:39.000,19.0,216830.0,227672.0,https://anaconda.org/conda-forge/pythran,2024-05-02 00:00:53.765,477081.0,,,,,2.0,,,,,,,,,,,,,,,,,,pythran,python-pythran, +197,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2024-04-19 02:32:01.000000,2024-04-15 22:25:34,1519.0,1.0,606.0,57.0,1882.0,88.0,897.0,1677.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,207.0,33,True,2023-11-28 01:45:31.000,0.23.0,38.0,tensorflow-addons,,,,['tensorflow'],14832.0,14607.0,https://pypi.org/project/tensorflow-addons,2023-11-28 01:45:31.000,225.0,1016729.0,1016729.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +198,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2024-04-20 16:14:16.000000,2018-10-12 15:53:05,1251.0,,282.0,51.0,158.0,104.0,218.0,1595.0,Python Geocoder.,73.0,33,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,10060.0,9878.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,182.0,645873.0,647495.0,https://anaconda.org/conda-forge/geocoder,2023-06-16 13:21:27.128,141179.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,geocoder +199,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2024-04-24 11:50:07.575000,2024-04-24 08:13:45,1179.0,8.0,359.0,67.0,603.0,276.0,352.0,1454.0,A Jupyter - Leaflet.js bridge.,88.0,33,True,2024-04-23 16:00:01.000,0.19.0,82.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],8985.0,8727.0,https://pypi.org/project/ipyleaflet,2024-04-23 16:00:01.000,249.0,149286.0,182242.0,https://anaconda.org/conda-forge/ipyleaflet,2024-04-24 11:50:07.575,1132278.0,,,,,2.0,,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2024-04-23 15:59:25.544,9.0,9367.0,,,,,,,,,,, +200,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2024-03-26 18:33:29.000000,2024-02-11 16:39:29,1856.0,1.0,200.0,32.0,212.0,26.0,398.0,1362.0,The ctypes-based simple ImageMagick binding for Python.,104.0,33,True,2023-11-04 01:41:17.000,0.6.13,56.0,wand,conda-forge/wand,,,,19066.0,18832.0,https://pypi.org/project/wand,2023-11-03 23:18:50.000,234.0,793519.0,794981.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,43800.0,,,,,2.0,45830.0,,,,,,,,,,,,,,,,,,, +201,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2024-05-07 18:54:37.635000,2024-05-07 17:36:36,2827.0,30.0,247.0,34.0,210.0,44.0,502.0,1236.0,Python interface for igraph.,75.0,33,False,2024-05-07 17:50:45.000,0.11.5,41.0,python-igraph,conda-forge/igraph,,,,4290.0,3921.0,https://pypi.org/project/python-igraph,2024-05-07 17:50:45.000,369.0,253512.0,271520.0,https://anaconda.org/conda-forge/igraph,2024-05-07 18:54:37.635,525894.0,,,,,1.0,562736.0,,,,,,,,,,,,,,,,,,, +202,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2024-05-09 12:35:04.365000,2024-05-09 02:09:46,3325.0,46.0,236.0,48.0,382.0,73.0,267.0,1030.0,"OpenCL integration for Python, plus shiny features.",96.0,33,True,2024-05-09 02:10:31.000,2024.2.2,98.0,pyopencl,conda-forge/pyopencl,,,,2041.0,1877.0,https://pypi.org/project/pyopencl,2024-05-09 02:37:50.000,164.0,57391.0,79078.0,https://anaconda.org/conda-forge/pyopencl,2024-05-09 12:35:04.365,1019308.0,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,, +203,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,,2010-02-06 11:43:08.000,2024-05-08 21:58:32.000000,2024-05-07 18:41:16,14029.0,303.0,419.0,51.0,2111.0,151.0,779.0,673.0,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",161.0,33,False,2024-03-08 22:14:36.000,1.9.0,28.0,dipy,conda-forge/dipy,,,,1202.0,1085.0,https://pypi.org/project/dipy,2024-03-08 22:14:36.000,117.0,32208.0,42219.0,https://anaconda.org/conda-forge/dipy,2024-03-10 04:37:57.447,440499.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +204,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2024-02-24 12:51:59.000000,2022-06-10 09:12:18,238.0,,13290.0,1566.0,227.0,766.0,584.0,51884.0,The worlds simplest facial recognition api for Python and the command line.,54.0,32,False,2020-02-20 14:26:01.000,1.3.0,23.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],129.0,21.0,https://pypi.org/project/face_recognition,2020-02-20 14:26:01.000,108.0,218588.0,219068.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,20515.0,,,,,2.0,1230.0,,,,,,,,,,,,,,,,,,, +205,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2024-05-09 15:04:56.000000,2024-05-09 03:32:41,4354.0,803.0,2642.0,264.0,3818.0,97.0,498.0,24153.0,You like pytorch? You like micrograd? You love tinygrad!.,304.0,32,True,2024-01-09 18:16:07.000,0.8.0,5.0,,,,,['pytorch'],63.0,63.0,,,,,,,,,,,,,1.0,,,,tinygrad/tinygrad,,,,,,,,,,,,,,,, +206,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2024-05-09 14:49:14.000000,2024-05-09 12:28:34,2697.0,518.0,1212.0,120.0,2910.0,230.0,900.0,18084.0,"Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud..",103.0,32,True,2024-05-02 20:24:56.000,1.9.1,69.0,,,,,,114.0,114.0,,,,,872.0,,,,,,,,2.0,32275.0,,,,,,,,,,,,,,,,,,, +207,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2024-02-13 08:02:51.000000,2020-10-14 16:36:49,6226.0,,4630.0,1005.0,1869.0,362.0,658.0,17098.0,"Zipline, a Pythonic Algorithmic Trading Library.",161.0,32,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,999.0,989.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,10.0,2741.0,2914.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,7638.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +208,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,,3420.0,464.0,671.0,590.0,672.0,14934.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,32,False,2020-06-17 16:31:34.798,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1494.0,1480.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:31:34.798,14.0,5759.0,5759.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +209,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,,1159.0,338.0,1683.0,523.0,1294.0,11159.0,Turi Create simplifies the development of custom machine learning models.,86.0,32,False,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,,392.0,371.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,21.0,20960.0,21087.0,,,,,,,,3.0,9801.0,,,,,,,,,,,,,,,,,,, +210,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2024-04-08 20:21:16.000000,2024-04-08 20:21:10,864.0,2.0,1280.0,420.0,87.0,32.0,160.0,9691.0,TensorFlow-based neural network library.,59.0,32,True,2024-01-02 11:15:06.000,2.0.2,29.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1302.0,1282.0,https://pypi.org/project/dm-sonnet,2024-01-02 11:15:06.000,20.0,35844.0,36360.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,27911.0,,,,,3.0,,,,google-deepmind/sonnet,,,,,,,,,,,,,,,, +211,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2024-05-06 11:34:20.000000,2020-11-30 04:34:51,613.0,,2414.0,457.0,261.0,576.0,363.0,9606.0,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'],4896.0,4884.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,12.0,6834.0,6834.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +212,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2024-05-08 16:12:11.004000,2024-05-05 19:24:47,1613.0,87.0,669.0,86.0,735.0,120.0,251.0,8718.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",47.0,32,False,2024-05-07 18:34:46.000,2.6.4,29.0,cleanlab,conda-forge/cleanlab,,,,321.0,305.0,https://pypi.org/project/cleanlab,2024-05-07 18:34:46.000,16.0,22181.0,22771.0,https://anaconda.org/conda-forge/cleanlab,2024-05-08 16:12:11.004,21851.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +213,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2024-05-02 21:03:56.000000,2024-05-02 20:58:05,1152.0,15.0,1254.0,147.0,167.0,265.0,1257.0,8332.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,142.0,32,False,2024-02-22 18:30:39.000,0.7.6,17.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],811.0,797.0,https://pypi.org/project/pytorch3d,2022-04-28 15:53:26.000,14.0,6939.0,10814.0,https://anaconda.org/pytorch3d/pytorch3d,2023-10-31 20:03:11.190,209268.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +214,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2024-04-18 02:54:26.000000,2024-03-08 03:19:52,2899.0,4.0,1644.0,88.0,1641.0,213.0,1841.0,8282.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",119.0,32,True,2023-10-18 03:54:18.000,2.9.0,19.0,paddleseg,,,,['paddle'],1187.0,1180.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,7.0,2450.0,2450.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +215,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,,870.0,86.0,274.0,78.0,376.0,7803.0,"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,,,,44268.0,43260.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,1008.0,2177177.0,2202407.0,https://anaconda.org/conda-forge/tensorboardx,2023-08-20 16:29:43.490,1160354.0,,,,,2.0,421.0,,,,,,,,,,,,,,,,,,, +216,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2024-04-23 12:27:20.000000,2024-03-06 05:23:22,360.0,3.0,1498.0,134.0,135.0,14.0,325.0,7527.0,A Python implementation of global optimization with gaussian processes.,44.0,32,True,2023-04-25 22:00:01.831,1.4.3,14.0,bayesian-optimization,,,,,2724.0,2596.0,https://pypi.org/project/bayesian-optimization,2023-04-25 22:00:01.831,128.0,505369.0,505370.0,,,,,,,,2.0,145.0,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,,,,,,, +217,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2024-04-29 22:31:53.000000,2024-03-13 19:58:20,1220.0,2.0,1039.0,124.0,275.0,212.0,440.0,7092.0,Distributed Asynchronous Hyperparameter Optimization in Python.,103.0,32,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,15071.0,14653.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,418.0,2247545.0,2258722.0,https://anaconda.org/conda-forge/hyperopt,2023-06-16 16:14:11.076,760090.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +218,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2024-05-09 11:23:39.000000,2024-03-13 09:36:57,2708.0,3.0,1130.0,210.0,1049.0,22.0,615.0,6552.0,An open source library for deep learning end-to-end dialog systems and chatbots.,77.0,32,True,2024-03-13 10:57:14.000,1.6.0,63.0,deeppavlov,,,,['tensorflow'],396.0,389.0,https://pypi.org/project/deeppavlov,2024-03-13 10:57:14.000,7.0,10536.0,10536.0,,,,,,,,2.0,,,,deeppavlov/DeepPavlov,,,,,,,,,,,,,,,, +219,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,,1850.0,197.0,206.0,12.0,1343.0,6298.0,"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'],1557.0,1539.0,https://pypi.org/project/tensorpack,2021-01-22 19:59:12.425,18.0,13152.0,13493.0,https://anaconda.org/conda-forge/tensorpack,2023-06-16 19:27:42.012,10519.0,,,,,3.0,167.0,,,,,,,,,,,,,,,,,,, +220,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2024-05-06 16:38:13.000000,2024-05-06 16:38:12,172.0,18.0,1048.0,198.0,114.0,149.0,306.0,5931.0,Official Kaggle API.,42.0,32,True,2024-04-12 01:56:25.000,1.6.12,71.0,kaggle,conda-forge/kaggle,,,,206.0,21.0,https://pypi.org/project/kaggle,2024-04-12 01:56:25.000,185.0,204897.0,208311.0,https://anaconda.org/conda-forge/kaggle,2024-04-14 01:28:23.406,150223.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +221,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 17:20:35.000,2024-04-01 08:16:02.000000,2024-04-01 08:13:40,1215.0,6.0,651.0,63.0,133.0,59.0,435.0,5784.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",41.0,32,True,2024-04-01 08:16:02.000,2.5.0,210.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],1505.0,1472.0,https://pypi.org/project/pytorch-metric-learning,2024-04-01 08:03:08.000,33.0,334524.0,334743.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,11396.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +222,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2024-05-07 13:49:33.000000,2024-05-07 13:49:33,2334.0,2.0,1105.0,189.0,235.0,273.0,281.0,5576.0,Distributed Evolutionary Algorithms in Python.,88.0,32,False,2023-07-21 10:51:54.000,1.4.1,27.0,deap,conda-forge/deap,,,,4963.0,4732.0,https://pypi.org/project/deap,2023-07-21 10:51:54.000,231.0,223744.0,232415.0,https://anaconda.org/conda-forge/deap,2023-09-25 01:16:08.711,372880.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +223,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2024-05-08 20:16:41.000000,2024-04-17 17:08:08,2178.0,26.0,286.0,43.0,2140.0,345.0,654.0,4817.0,Aim An easy-to-use & supercharged open-source experiment tracker.,64.0,32,True,2024-04-17 17:16:40.000,3.19.3,992.0,aim,conda-forge/aim,,,,571.0,539.0,https://pypi.org/project/aim,2024-05-08 20:16:41.000,32.0,76055.0,77393.0,https://anaconda.org/conda-forge/aim,2023-06-16 19:26:46.894,45500.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +224,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2024-05-03 19:17:17.000000,2023-11-23 21:41:49,1136.0,,632.0,89.0,270.0,40.0,252.0,4295.0,Geocoding library for Python.,133.0,32,True,2023-11-23 21:50:14.000,2.4.1,61.0,geopy,conda-forge/geopy,,,,780.0,,https://pypi.org/project/geopy,2023-11-23 21:49:30.000,780.0,5201156.0,5229049.0,https://anaconda.org/conda-forge/geopy,2024-02-28 17:12:19.096,1311009.0,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,, +225,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,Apache-2.0,2012-08-24 16:14:59.000,2024-05-06 21:26:30.000000,2024-03-15 22:39:59,618.0,4.0,118.0,75.0,70.0,19.0,124.0,3718.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",18.0,32,True,2024-03-15 22:38:56.000,6.2.0,50.0,ftfy,conda-forge/ftfy,,,,19648.0,19162.0,https://pypi.org/project/ftfy,2024-03-15 22:38:56.000,486.0,4902120.0,4909255.0,https://anaconda.org/conda-forge/ftfy,2023-11-22 19:57:21.457,285434.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +226,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2024-05-06 20:51:42.000000,2024-03-15 01:19:18,1424.0,23.0,461.0,56.0,776.0,42.0,475.0,3653.0,NeuralProphet: A simple forecasting package.,53.0,32,True,2024-02-23 20:22:47.000,0.8.0,34.0,neuralprophet,,,,['pytorch'],442.0,437.0,https://pypi.org/project/neuralprophet,2024-02-23 20:22:47.000,5.0,120182.0,120182.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +227,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2024-05-09 07:45:35.000000,2024-05-03 16:54:19,704.0,4.0,258.0,43.0,823.0,97.0,285.0,2924.0,PyTorch extensions for high performance and large scale training.,75.0,32,True,2022-12-11 18:09:31.906,0.4.13,35.0,fairscale,conda-forge/fairscale,,,['pytorch'],5052.0,4986.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,66.0,506916.0,513260.0,https://anaconda.org/conda-forge/fairscale,2023-11-28 00:29:10.363,190332.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +228,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 21:10:54.000,2024-03-15 06:37:00.287000,2021-10-12 13:32:38,1570.0,,544.0,64.0,546.0,322.0,393.0,2726.0,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,32,False,2024-03-14 18:24:11.000,0.10.1,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,333.0,,https://pypi.org/project/scikit-optimize,2024-03-14 18:24:11.000,333.0,822359.0,838263.0,https://anaconda.org/conda-forge/scikit-optimize,2024-03-15 06:37:00.287,715714.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +229,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2024-04-30 07:43:04.000000,2024-04-30 07:43:04,2947.0,16.0,692.0,75.0,861.0,272.0,629.0,2624.0,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",126.0,32,True,2024-03-08 20:41:28.000,0.1.25,25.0,pgmpy,,,,,992.0,949.0,https://pypi.org/project/pgmpy,2024-03-08 20:00:14.000,43.0,51922.0,51929.0,,,,,,,,2.0,337.0,,,,,,,,,,,,,,,,,,, +230,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2024-03-07 12:10:22.000000,2024-03-07 12:10:22,2293.0,2.0,584.0,69.0,481.0,245.0,704.0,2288.0,Survival analysis in Python.,117.0,32,True,2024-01-03 22:01:02.000,0.28.0,170.0,lifelines,conda-forge/lifelines,,,,2580.0,2454.0,https://pypi.org/project/lifelines,2024-01-03 22:01:02.000,126.0,512188.0,519014.0,https://anaconda.org/conda-forge/lifelines,2023-09-13 16:31:11.545,327684.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +231,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2024-04-04 16:01:23.000000,2024-03-18 20:30:45,1372.0,19.0,320.0,22.0,47.0,35.0,202.0,2232.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,21.0,32,True,2024-03-18 21:02:33.000,0.4.7,91.0,explainerdashboard,conda-forge/explainerdashboard,,,,486.0,476.0,https://pypi.org/project/explainerdashboard,2024-03-18 21:02:33.000,10.0,83619.0,84703.0,https://anaconda.org/conda-forge/explainerdashboard,2024-03-18 22:16:35.129,44475.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +232,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2024-05-09 05:59:56.000000,2024-05-09 00:14:23,5631.0,101.0,692.0,88.0,5896.0,228.0,856.0,2079.0,TFX is an end-to-end platform for deploying production ML pipelines.,185.0,32,True,2024-04-29 17:07:02.000,1.15.0,97.0,tfx,,,,['tensorflow'],14.0,,https://pypi.org/project/tfx,2024-04-29 19:37:42.000,14.0,63668.0,63668.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +233,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2024-04-27 15:12:40.000000,2024-04-27 13:25:47,209.0,16.0,253.0,56.0,76.0,50.0,227.0,1936.0,A Python wrapper for the tesseract-ocr API.,30.0,32,True,2024-04-27 15:12:40.000,2.7.0,21.0,tesserocr,conda-forge/tesserocr,,,,1019.0,985.0,https://pypi.org/project/tesserocr,2024-04-27 15:12:40.000,34.0,66431.0,68924.0,https://anaconda.org/conda-forge/tesserocr,2023-06-16 16:18:15.161,137006.0,,,,,2.0,235.0,,,,,,,,,,,,,,,,,,, +234,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2024-05-01 04:42:00.000000,2024-04-30 09:39:08,943.0,5.0,224.0,49.0,322.0,181.0,132.0,1830.0,Evaluate: A library for easily evaluating machine learning models and datasets.,126.0,32,True,2024-04-30 09:45:36.000,0.4.2,15.0,evaluate,,,,,9211.0,8881.0,https://pypi.org/project/evaluate,2024-04-30 09:44:17.000,330.0,2781680.0,2781680.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +235,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 20:34:28.000,2024-05-02 22:47:28.000000,2024-05-02 22:47:23,830.0,8.0,321.0,119.0,783.0,217.0,167.0,1470.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",85.0,32,True,2024-02-08 02:06:46.000,0.8.0,31.0,tensorflow-model-optimization,,,,['tensorflow'],3802.0,3759.0,https://pypi.org/project/tensorflow-model-optimization,2024-02-08 01:57:17.000,43.0,796917.0,796917.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +236,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2024-04-30 20:12:22.000000,2024-04-30 20:12:21,936.0,13.0,210.0,58.0,101.0,44.0,174.0,981.0,Input pipeline framework.,28.0,32,True,2024-04-24 22:55:08.000,1.15.0,57.0,tensorflow-transform,,,,['tensorflow'],1805.0,1788.0,https://pypi.org/project/tensorflow-transform,2024-04-24 22:55:08.000,17.0,929673.0,929673.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +237,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2024-05-09 14:31:14.000000,2024-05-08 18:56:06,11472.0,141.0,236.0,55.0,12160.0,230.0,2185.0,938.0,Cloud-native genomic dataframes and batch computing.,92.0,32,True,2024-04-10 20:37:13.000,0.2.130,150.0,hail,,,,['spark'],150.0,130.0,https://pypi.org/project/hail,2024-04-10 20:37:13.000,20.0,41580.0,41580.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +238,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2024-05-08 19:53:32.000000,2024-04-24 04:18:42,1684.0,10.0,275.0,41.0,1361.0,288.0,363.0,690.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",107.0,32,True,2024-05-01 02:14:32.000,0.37.0,44.0,tensorflow-io,,,,['tensorflow'],60.0,,https://pypi.org/project/tensorflow-io,2024-05-01 02:12:48.000,60.0,3678268.0,3678268.0,,,,,,,,2.0,,-2.0,,,,,,,,,,,,,,,,,, +239,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2024-03-17 08:58:36.000000,2023-07-13 08:50:20,531.0,,2723.0,383.0,120.0,232.0,562.0,24983.0,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'],709.0,703.0,https://pypi.org/project/spleeter,2022-06-10 13:19:35.000,6.0,13896.0,72114.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,81165.0,,,,,2.0,3119335.0,,,,,,,,,,,,,,,,,,, +240,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,,2074.0,184.0,1005.0,574.0,723.0,12536.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",69.0,31,False,2023-09-20 10:33:08.000,2.4.0,50.0,paddlehub,,,,['paddle'],1611.0,1604.0,https://pypi.org/project/paddlehub,2023-09-20 10:33:08.000,7.0,7459.0,7469.0,,,,,,,,2.0,678.0,,,,,,,,,,,,,,,,,,, +241,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2024-05-06 20:49:46.000000,2024-05-05 09:45:02,2928.0,43.0,2217.0,196.0,444.0,220.0,474.0,9151.0,FinRL: Financial Reinforcement Learning.,113.0,31,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,38.0,38.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,1771.0,1771.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +242,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2024-04-22 20:07:04.000000,2024-03-11 18:51:26,551.0,1.0,1197.0,167.0,431.0,67.0,470.0,8104.0,Automatic extraction of relevant features from time series:.,92.0,31,True,2024-01-28 09:46:21.000,0.20.2,31.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],94.0,21.0,https://pypi.org/project/tsfresh,2024-01-28 09:46:21.000,73.0,245958.0,274053.0,https://anaconda.org/conda-forge/tsfresh,2024-01-28 10:39:22.145,1348582.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +243,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2024-05-04 04:44:38.000000,2024-05-04 04:44:37,5973.0,66.0,994.0,114.0,1638.0,100.0,649.0,7569.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",93.0,31,True,2024-03-25 22:52:24.000,2.10.0,121.0,perspective-python,conda-forge/perspective,,,['jupyter'],148.0,122.0,https://pypi.org/project/perspective-python,2024-03-25 22:45:59.000,22.0,5452.0,9300.0,https://anaconda.org/conda-forge/perspective,,,,,,,2.0,2577.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2024-03-25 22:45:31.297,4.0,3591.0,,,,,,,,,,, +244,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2024-05-08 23:39:09.000000,2024-05-08 23:39:06,618.0,12.0,695.0,108.0,190.0,16.0,344.0,5541.0,Python-tesseract is an optical character recognition (OCR) tool for python.,46.0,31,True,2023-10-15 15:39:44.000,0.3.13,27.0,pytesseract,conda-forge/pytesseract,,,,835.0,,https://pypi.org/project/pytesseract,2022-08-16 19:20:38.334,835.0,2017757.0,2030881.0,https://anaconda.org/conda-forge/pytesseract,2023-10-15 19:50:43.241,603735.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +245,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,,1716.0,302.0,294.0,161.0,268.0,5439.0,Portfolio and risk analytics in Python.,60.0,31,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,1015.0,1003.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,12.0,8862.0,9036.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,13103.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +246,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2024-05-08 06:33:01.000000,2022-09-24 16:20:26,585.0,,919.0,100.0,224.0,108.0,454.0,4794.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators.,45.0,31,False,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],3904.0,3842.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,62.0,102367.0,103028.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,20497.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +247,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2024-05-09 09:19:44.000000,2024-05-03 13:05:14,3871.0,22.0,527.0,86.0,560.0,107.0,475.0,4787.0,Online machine learning in Python.,113.0,31,True,2024-04-23 13:20:18.000,0.21.1,21.0,river,conda-forge/river,,,,523.0,472.0,https://pypi.org/project/river,2024-04-23 10:26:48.000,51.0,33840.0,35367.0,https://anaconda.org/conda-forge/river,2023-10-06 14:40:00.791,56534.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +248,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2024-04-30 11:44:52.000000,2024-04-25 00:35:53,612.0,22.0,743.0,83.0,340.0,55.0,328.0,4778.0,Uplift modeling and causal inference with machine learning algorithms.,62.0,31,True,2024-04-19 00:19:00.000,0.15.1,24.0,causalml,,,,,195.0,194.0,https://pypi.org/project/causalml,2024-04-19 00:19:00.000,1.0,86249.0,86249.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +249,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2024-01-27 06:33:38.000000,2022-01-27 13:24:16,139.0,,1024.0,153.0,115.0,161.0,79.0,4483.0,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",21.0,31,False,2021-01-15 10:53:17.000,0.5.4,29.0,imutils,conda-forge/imutils,,,,43141.0,42727.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,414.0,596277.0,599806.0,https://anaconda.org/conda-forge/imutils,2023-10-27 09:12:56.985,162370.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +250,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2024-05-09 12:56:52.000000,2024-05-06 21:29:06,15433.0,71.0,502.0,70.0,3491.0,880.0,1580.0,3936.0,cuML - RAPIDS Machine Learning Library.,171.0,31,True,2024-04-10 20:54:06.000,24.04.00,38.0,cuml,,,,,13.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,13.0,2746.0,2746.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +251,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2024-05-07 21:39:20.000000,2024-04-22 03:28:24,3849.0,16.0,541.0,59.0,893.0,356.0,973.0,3419.0,A highly efficient implementation of Gaussian Processes in PyTorch.,130.0,31,True,2023-06-02 22:04:02.000,1.11,38.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],2219.0,2067.0,https://pypi.org/project/gpytorch,2023-06-02 22:13:00.914,152.0,188203.0,191437.0,https://anaconda.org/conda-forge/gpytorch,2023-08-11 22:34:06.614,155260.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +252,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,,704.0,184.0,737.0,274.0,669.0,3407.0,DyNet: The Dynamic Neural Network Toolkit.,160.0,31,True,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,274.0,256.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,18.0,343538.0,343710.0,,,,,,,,3.0,15712.0,,,,,,,,,,,,,,,,,,, +253,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2024-03-19 06:24:29.000000,2022-05-31 03:18:45,1556.0,,438.0,94.0,124.0,86.0,348.0,3296.0,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,,,,1169.0,1109.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,60.0,251419.0,253984.0,https://anaconda.org/conda-forge/nmslib,2023-09-26 10:22:21.295,110316.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +254,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2024-02-07 10:05:31.000000,2022-08-22 18:21:12,586.0,,602.0,78.0,78.0,72.0,161.0,3160.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,31,False,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,5935.0,5828.0,https://pypi.org/project/filterpy,2021-12-15 15:49:27.374,107.0,1905990.0,1908934.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,244403.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +255,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2024-05-03 19:57:15.000000,2024-04-05 20:34:01,476.0,7.0,732.0,119.0,125.0,64.0,370.0,2947.0,"Hidden Markov Models in Python, with scikit-learn like API.",48.0,31,True,2024-03-02 03:05:38.000,0.3.2,13.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],2570.0,2494.0,https://pypi.org/project/hmmlearn,2024-03-02 03:05:38.000,76.0,167404.0,172372.0,https://anaconda.org/conda-forge/hmmlearn,2024-03-02 05:37:57.119,218621.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +256,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2024-05-09 14:13:33.000000,2024-05-08 22:16:00,7712.0,427.0,345.0,81.0,8964.0,121.0,337.0,2872.0,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,..",114.0,31,True,2024-05-08 15:35:57.000,0.32.0,532.0,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",4.0,,https://pypi.org/project/determined,2024-05-08 15:59:45.000,4.0,62314.0,62490.0,,,,,,,,3.0,7932.0,,,,,,,,,,,,,,,,,,, +257,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 22:38:21.000,2024-04-01 18:35:40.000000,2024-03-04 19:25:47,1086.0,7.0,384.0,62.0,494.0,210.0,271.0,2829.0,A Hyperparameter Tuning Library for Keras.,61.0,31,True,2024-03-04 19:41:39.000,1.4.7,35.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],3735.0,3631.0,https://pypi.org/project/keras-tuner,2024-03-04 19:41:39.000,104.0,305309.0,306242.0,https://anaconda.org/conda-forge/keras-tuner,2024-03-05 15:33:09.039,30814.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +258,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 07:14:02.000,2024-04-09 21:52:32.000000,2024-04-09 21:52:28,976.0,9.0,226.0,39.0,533.0,70.0,174.0,2811.0,JAX-based neural network library.,81.0,31,True,2024-02-28 18:11:54.000,0.0.12,15.0,dm-haiku,conda-forge/dm-haiku,,,,1937.0,1847.0,https://pypi.org/project/dm-haiku,2024-02-28 18:11:54.000,90.0,207036.0,207456.0,https://anaconda.org/conda-forge/dm-haiku,2024-02-28 22:18:23.853,16384.0,,,,,3.0,,,,google-deepmind/dm-haiku,,,,,,,,,,,,,,,, +259,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 13:08:13.000,2024-04-23 19:51:43.000000,2024-03-20 01:04:29,1637.0,2.0,324.0,61.0,189.0,126.0,195.0,2792.0,The machine learning toolkit for time series analysis in Python.,43.0,31,True,2023-12-12 14:39:23.000,0.6.3,100.0,tslearn,conda-forge/tslearn,,,['sklearn'],1300.0,1251.0,https://pypi.org/project/tslearn,2023-12-12 14:39:23.000,49.0,336046.0,363773.0,https://anaconda.org/conda-forge/tslearn,2024-02-04 18:41:01.911,1303180.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +260,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2024-05-08 07:21:02.000000,2024-05-06 10:34:45,1172.0,21.0,237.0,26.0,1015.0,99.0,420.0,2765.0,A python library for self-supervised learning on images.,38.0,31,True,2024-04-17 09:28:05.000,1.5.3,117.0,lightly,,,,['pytorch'],254.0,247.0,https://pypi.org/project/lightly,2024-04-17 09:29:01.000,7.0,30835.0,30835.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +261,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2024-05-08 14:25:08.000000,2024-05-07 16:31:11,1145.0,48.0,286.0,35.0,471.0,99.0,365.0,2492.0,Scalable and user friendly neural forecasting algorithms.,44.0,31,True,2024-05-07 16:36:59.000,1.7.2,23.0,neuralforecast,conda-forge/neuralforecast,,,,159.0,143.0,https://pypi.org/project/neuralforecast,2024-05-07 16:36:59.000,16.0,31366.0,31927.0,https://anaconda.org/conda-forge/neuralforecast,2024-05-08 05:29:53.055,14595.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +262,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 19:32:37.000,2024-04-09 11:39:30.000000,2024-04-09 11:39:30,957.0,4.0,394.0,39.0,150.0,45.0,242.0,2371.0,A library of sklearn compatible categorical variable encoders.,70.0,31,True,2023-10-29 20:29:52.000,2.6.3,32.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],1959.0,1719.0,https://pypi.org/project/category_encoders,2023-10-29 20:29:52.000,240.0,1674224.0,1682485.0,https://anaconda.org/conda-forge/category_encoders,2023-10-30 01:23:52.252,256121.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +263,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,,356.0,83.0,168.0,216.0,146.0,2325.0,An interactive data visualization tool which brings matplotlib graphics to the browser using D3.,52.0,31,True,2023-12-23 13:04:29.963,0.5.10,19.0,mpld3,conda-forge/mpld3,,,,6076.0,5936.0,https://pypi.org/project/mpld3,2023-12-23 13:03:02.000,131.0,455217.0,460367.0,https://anaconda.org/conda-forge/mpld3,2023-12-23 15:16:22.285,196880.0,,,,,2.0,,,,,mpld3,https://www.npmjs.com/package/mpld3,2023-12-23 13:04:29.963,9.0,962.0,,,,,,,,,,, +264,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2024-03-28 16:57:11.000000,2024-03-28 16:57:04,547.0,4.0,155.0,42.0,77.0,6.0,127.0,1994.0,a python library for doing approximate and phonetic matching of strings.,31.0,31,True,2023-11-17 20:44:09.000,1.0.3,42.0,jellyfish,conda-forge/jellyfish,,,,9067.0,8830.0,https://pypi.org/project/jellyfish,2023-11-17 20:44:09.000,237.0,3156393.0,3174312.0,https://anaconda.org/conda-forge/jellyfish,2023-11-17 23:08:09.681,842218.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +265,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2024-05-09 14:43:31.000000,2024-05-09 14:38:18,1752.0,231.0,358.0,27.0,1827.0,257.0,102.0,1734.0,Pytorch domain library for recommendation systems.,228.0,31,True,2024-04-25 01:39:04.000,0.7.0,77.0,torchrec-nightly-cpu,,,,,109.0,109.0,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,1291.0,1291.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +266,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2024-04-19 13:09:14.696000,2024-02-23 02:45:37,1079.0,2.0,226.0,34.0,251.0,57.0,272.0,1526.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",23.0,31,True,2023-10-23 16:52:00.000,2.0.4,44.0,pmdarima,conda-forge/pmdarima,,,,8166.0,8030.0,https://pypi.org/project/pmdarima,2023-10-23 14:02:41.000,136.0,2734488.0,2759156.0,https://anaconda.org/conda-forge/pmdarima,2024-04-19 13:09:14.696,1060766.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +267,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2024-05-09 14:45:13.000000,2024-05-09 14:45:09,4060.0,252.0,46.0,164.0,530.0,137.0,418.0,1455.0,Multiplatform plotting library based on the Grammar of Graphics.,20.0,31,True,2024-04-25 16:12:39.000,4.3.2,74.0,lets-plot,,,,,82.0,74.0,https://pypi.org/project/lets-plot,2024-04-25 15:31:02.000,8.0,23187.0,23199.0,,,,,,,,2.0,657.0,,,,,,,,,,,,,,,,,,, +268,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2024-05-02 00:41:56.000000,2024-05-02 00:41:53,947.0,9.0,430.0,87.0,230.0,55.0,240.0,1427.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,74.0,31,True,2024-04-19 10:03:17.000,3.1.6,27.0,emcee,conda-forge/emcee,,,,2756.0,2370.0,https://pypi.org/project/emcee,2024-04-19 10:03:17.000,386.0,166799.0,176257.0,https://anaconda.org/conda-forge/emcee,2024-04-22 14:43:59.507,331049.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +269,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2024-05-07 09:46:40.000000,2024-05-06 13:02:13,1553.0,24.0,164.0,16.0,802.0,116.0,445.0,1287.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,108.0,31,True,2024-03-21 03:35:03.000,0.27.0,60.0,pyjanitor,conda-forge/pyjanitor,,,,627.0,599.0,https://pypi.org/project/pyjanitor,2024-03-21 03:34:57.000,28.0,77253.0,81274.0,https://anaconda.org/conda-forge/pyjanitor,2024-03-21 06:08:00.698,193014.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +270,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2024-04-16 17:35:41.000000,2024-04-16 17:27:51,1127.0,7.0,245.0,45.0,518.0,37.0,183.0,1257.0,ARCH models in Python.,35.0,31,False,2024-04-16 17:35:41.000,7.0.0,47.0,arch,conda-forge/arch-py,,,,1706.0,1616.0,https://pypi.org/project/arch,2024-04-16 17:35:41.000,90.0,445050.0,451321.0,https://anaconda.org/conda-forge/arch-py,2024-01-05 09:54:56.136,294764.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +271,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2024-05-07 08:37:52.000000,2024-04-25 09:58:50,10680.0,214.0,227.0,36.0,1476.0,206.0,350.0,1157.0,Computations and statistics on manifolds with geometric structures.,92.0,31,True,2023-08-30 05:36:10.000,2.7.0,32.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,105.0,102.0,https://pypi.org/project/geomstats,2023-08-30 05:33:32.000,3.0,3035.0,3141.0,https://anaconda.org/conda-forge/geomstats,2023-08-30 16:59:06.279,2443.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +272,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2024-05-09 14:38:30.000000,2024-04-29 15:12:56,13385.0,190.0,279.0,34.0,1783.0,463.0,631.0,1014.0,Python package for earth-observing satellite data processing.,153.0,31,False,2024-04-22 16:20:44.000,0.48.0,93.0,satpy,conda-forge/satpy,,,,151.0,126.0,https://pypi.org/project/satpy,2024-02-21 11:29:00.000,25.0,9118.0,13173.0,https://anaconda.org/conda-forge/satpy,2024-04-23 06:53:48.899,190592.0,,,,,3.0,,-2.0,,,,,,,,,,,,,,,,,, +273,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2024-05-08 14:11:18.000000,2024-05-06 11:56:52,685.0,29.0,99.0,24.0,537.0,337.0,417.0,948.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",46.0,31,True,2024-05-07 03:58:11.000,0.10.0,70.0,hvplot,conda-forge/hvplot,,,,5128.0,4956.0,https://pypi.org/project/hvplot,2024-05-06 12:24:45.000,172.0,198540.0,210564.0,https://anaconda.org/conda-forge/hvplot,2024-05-07 04:39:01.018,565154.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +274,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,,102.0,32.0,60.0,71.0,80.0,923.0,Describing statistical models in Python using symbolic formulas.,19.0,31,True,2024-01-04 18:58:03.000,0.5.6,13.0,patsy,conda-forge/patsy,,,,95597.0,95118.0,https://pypi.org/project/patsy,2024-01-04 18:55:57.000,479.0,15903331.0,16226645.0,https://anaconda.org/conda-forge/patsy,2024-01-05 15:46:09.327,10346071.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +275,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2024-04-22 23:18:58.000000,2024-04-22 23:18:58,1950.0,35.0,230.0,18.0,296.0,50.0,268.0,830.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",46.0,31,True,2024-04-22 16:08:04.000,1.5.0,48.0,salib,conda-forge/salib,,,,1214.0,1098.0,https://pypi.org/project/salib,2024-04-22 16:08:04.000,116.0,184655.0,188225.0,https://anaconda.org/conda-forge/salib,2024-04-22 19:44:20.663,153524.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +276,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCm/tensorflow-upstream,https://github.com/ROCm/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2024-05-09 14:26:33.000000,2024-05-08 08:19:18,167525.0,3440.0,89.0,51.0,2161.0,86.0,286.0,679.0,TensorFlow ROCm port.,4619.0,31,True,2022-12-06 16:42:53.965,2.9.4,100.0,tensorflow-rocm,,,,['tensorflow'],6.0,,https://pypi.org/project/tensorflow-rocm,2024-01-10 14:33:03.000,6.0,5327.0,5327.0,,,,,,,,3.0,21.0,,,ROCm/tensorflow-upstream,,,,,,,,,,,,,,,, +277,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 11:25:57.000,2024-05-09 14:09:08.133000,2024-05-08 09:35:14,2052.0,139.0,57.0,19.0,1536.0,23.0,210.0,538.0,The MLOps stack component for experiment tracking.,54.0,31,True,2024-05-09 11:33:08.000,1.10.3,206.0,neptune-client,conda-forge/neptune-client,,,,542.0,465.0,https://pypi.org/project/neptune-client,2024-05-09 11:29:26.000,77.0,540420.0,545373.0,https://anaconda.org/conda-forge/neptune-client,2024-05-09 14:09:08.133,237778.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +278,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2024-05-08 13:47:50.000000,2024-05-07 14:47:52,17128.0,34.0,111.0,27.0,3576.0,521.0,3383.0,490.0,"Keep code, data, containers under control with git and git-annex.",55.0,31,True,2024-04-19 23:11:19.000,1.0.2,114.0,datalad,conda-forge/datalad,,,,484.0,392.0,https://pypi.org/project/datalad,2024-04-19 23:11:19.000,92.0,17900.0,27443.0,https://anaconda.org/conda-forge/datalad,2024-04-20 02:44:01.193,448529.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +279,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2024-05-02 15:47:25.000000,2024-05-02 15:46:39,306.0,4.0,2779.0,142.0,46.0,120.0,136.0,18148.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",21.0,30,True,2024-05-02 15:47:25.000,1.6.8,188.0,vit-pytorch,,,,['pytorch'],465.0,454.0,https://pypi.org/project/vit-pytorch,2024-05-02 15:47:25.000,11.0,22497.0,22497.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +280,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,,4382.0,1254.0,557.0,836.0,2543.0,17470.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",274.0,30,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,21.0,2.0,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,19.0,534.0,678.0,,,,,,,,3.0,14494.0,,,,,,,,,,,,,,,,,,, +281,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2024-05-09 05:25:50.000000,2024-05-08 05:50:55,1961.0,4.0,2467.0,282.0,914.0,223.0,679.0,14231.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",123.0,30,True,2024-05-07 10:16:46.000,0.9.4,33.0,pyqlib,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pyqlib,2024-05-07 10:16:46.000,1.0,2972.0,2981.0,,,,,,,,2.0,397.0,,,,,,,,,,,,,,,,,,, +282,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,,2095.0,283.0,3401.0,51.0,1494.0,10433.0,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'],26.0,21.0,https://pypi.org/project/parlai,2022-09-20 02:56:01.305,5.0,2743.0,2743.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +283,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2024-05-03 20:57:52.000000,2024-02-20 22:38:05,385.0,2.0,2150.0,285.0,98.0,311.0,448.0,8415.0,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,,,,1619.0,1600.0,https://pypi.org/project/imageai,2023-01-02 17:10:24.749,19.0,6559.0,19331.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,7048.0,,,,,2.0,921232.0,,,,,,,,,,,,,,,,,,, +284,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,,1267.0,214.0,711.0,187.0,829.0,7419.0,Automated Machine Learning with scikit-learn.,88.0,30,False,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],597.0,566.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,31.0,15597.0,16186.0,https://anaconda.org/conda-forge/auto-sklearn,2023-06-16 19:25:30.278,21797.0,,,,,2.0,51.0,,,,,,,,,,,,,,,,,,, +285,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2024-05-07 01:34:57.000000,2024-05-07 01:34:51,1005.0,16.0,904.0,135.0,691.0,128.0,317.0,6776.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,86.0,30,True,2023-12-25 07:11:09.000,0.11.1,15.0,dowhy,conda-forge/dowhy,,,,367.0,360.0,https://pypi.org/project/dowhy,2023-12-25 07:11:09.000,7.0,49980.0,50459.0,https://anaconda.org/conda-forge/dowhy,2024-01-26 10:57:10.385,20151.0,,,,,2.0,34.0,,,,,,,,,,,,,,,,,,, +286,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2024-04-10 13:26:10.000000,2023-01-31 19:40:04,3203.0,,1383.0,189.0,785.0,44.0,423.0,6086.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",132.0,30,False,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],650.0,643.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,7.0,2419.0,2583.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,7742.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +287,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2024-04-19 02:47:07.000000,2023-01-19 00:37:33,900.0,,1236.0,153.0,951.0,63.0,787.0,5755.0,Gluon CV Toolkit.,119.0,30,False,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,,['mxnet'],82.0,21.0,https://pypi.org/project/gluoncv,2023-02-03 18:46:00.371,61.0,68975.0,68975.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +288,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2024-04-25 21:06:21.000000,2024-04-25 16:08:12,1087.0,5.0,378.0,80.0,528.0,59.0,453.0,5641.0,A scikit-learn compatible neural network library that wraps PyTorch.,62.0,30,True,2023-09-04 10:10:59.000,0.15.0,19.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",1300.0,1224.0,https://pypi.org/project/skorch,2023-09-04 09:59:43.000,76.0,162938.0,180669.0,https://anaconda.org/conda-forge/skorch,2023-09-06 08:43:59.780,780175.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +289,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 09:34:48.000,2024-05-07 13:10:17.000000,2024-04-30 18:31:30,796.0,11.0,382.0,75.0,288.0,64.0,516.0,4567.0,Visualizer for pandas data structures.,30.0,30,True,2024-04-30 18:56:18.000,3.12.0,182.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",1296.0,1102.0,https://pypi.org/project/dtale,2024-04-30 18:56:18.000,194.0,51152.0,56937.0,https://anaconda.org/conda-forge/dtale,2024-04-30 19:55:43.333,277707.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +290,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2024-05-07 17:21:56.000000,2024-05-07 11:59:05,1458.0,11.0,734.0,74.0,1790.0,311.0,629.0,4322.0,Probabilistic time series modeling in Python.,112.0,30,True,2024-02-02 12:38:04.000,0.14.4,108.0,gluonts,anaconda/gluonts,,,['mxnet'],27.0,,https://pypi.org/project/gluonts,2024-02-02 12:38:04.000,27.0,302681.0,302705.0,https://anaconda.org/anaconda/gluonts,2023-12-22 09:31:03.436,762.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +291,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2024-03-20 17:31:08.000000,2023-11-02 13:49:44,662.0,,844.0,150.0,127.0,133.0,104.0,4053.0,Technical Analysis Library using Pandas and Numpy.,34.0,30,True,2023-11-02 13:53:35.000,0.11.0,56.0,ta,conda-forge/ta,,,,3422.0,3333.0,https://pypi.org/project/ta,2023-11-02 13:53:35.000,89.0,110132.0,110779.0,https://anaconda.org/conda-forge/ta,2023-11-02 22:03:30.766,25242.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +292,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2024-03-18 02:23:40.000000,2023-12-19 14:36:52,3303.0,,537.0,120.0,371.0,77.0,737.0,3984.0,"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,,,,343.0,325.0,https://pypi.org/project/dedupe,2023-02-17 16:58:05.493,18.0,75851.0,77470.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,46970.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +293,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2024-04-08 14:24:28.000000,2024-04-08 14:14:18,1091.0,7.0,345.0,58.0,1347.0,128.0,174.0,3851.0,A Python toolbox for performing gradient-free optimization.,55.0,30,True,2024-02-20 14:59:08.000,1.0.2,47.0,nevergrad,conda-forge/nevergrad,,,,705.0,671.0,https://pypi.org/project/nevergrad,2024-02-20 14:59:08.000,34.0,187394.0,188393.0,https://anaconda.org/conda-forge/nevergrad,2024-01-09 16:02:07.312,47982.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +294,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2024-03-02 01:06:27.711000,2023-02-26 20:07:33,189.0,,504.0,76.0,37.0,12.0,121.0,3818.0,Missing data visualization module for Python.,18.0,30,False,2023-02-26 20:11:59.371,0.5.2,26.0,missingno,conda-forge/missingno,,,,16173.0,16059.0,https://pypi.org/project/missingno,2023-02-26 20:11:59.371,114.0,279556.0,445296.0,https://anaconda.org/conda-forge/missingno,2024-03-02 01:06:27.711,331480.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +295,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2024-05-06 09:39:36.000000,2024-04-25 17:26:26,495.0,11.0,521.0,38.0,519.0,12.0,,3606.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,42.0,30,True,2024-04-08 16:09:10.000,0.11.16,101.0,sahi,conda-forge/sahi,,,,1081.0,1068.0,https://pypi.org/project/sahi,2023-11-05 23:19:54.000,13.0,118890.0,121341.0,https://anaconda.org/conda-forge/sahi,2023-11-06 10:35:24.165,56810.0,,,,,2.0,24175.0,,,,,,,,,,,,,,,,,,, +296,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2024-04-30 15:15:19.000000,2024-03-25 08:55:18,3659.0,3.0,462.0,101.0,1048.0,256.0,368.0,3561.0,Plotting library for IPython/Jupyter notebooks.,64.0,30,True,2024-02-27 15:38:38.000,0.12.43,112.0,bqplot,conda-forge/bqplot,,,['jupyter'],168.0,55.0,https://pypi.org/project/bqplot,2024-03-25 09:03:21.000,92.0,123417.0,153468.0,https://anaconda.org/conda-forge/bqplot,2024-02-19 16:46:43.025,1289824.0,,,,,3.0,,,,,bqplot,https://www.npmjs.com/package/bqplot,2024-03-25 09:04:27.051,21.0,3180.0,,,,,,,,,,, +297,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2024-05-02 05:07:00.000000,2024-04-18 17:19:51,1212.0,37.0,471.0,63.0,733.0,7.0,531.0,3471.0,On-device wake word detection powered by deep learning.,37.0,30,True,2024-01-30 21:38:49.000,3.0.2,34.0,pvporcupine,,,,,43.0,28.0,https://pypi.org/project/pvporcupine,2024-01-30 21:38:49.000,15.0,8317.0,8317.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +298,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2024-03-20 16:59:01.000000,2023-11-21 21:15:59,435.0,,604.0,78.0,228.0,85.0,406.0,3432.0,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,,,,1346.0,1318.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,28.0,175731.0,189509.0,https://anaconda.org/conda-forge/implicit,2023-11-21 19:59:55.425,605099.0,,,,,2.0,755.0,,,,,,,,,,,,,,,,,,, +299,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2024-04-25 20:54:01.681000,2024-04-24 11:35:19,406.0,3.0,243.0,64.0,53.0,9.0,,3307.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",15.0,30,True,2024-04-24 11:36:32.000,4.6.2,28.0,textdistance,conda-forge/textdistance,,,,6362.0,6269.0,https://pypi.org/project/textdistance,2024-04-24 11:35:57.000,93.0,845364.0,858391.0,https://anaconda.org/conda-forge/textdistance,2024-04-25 20:54:01.681,546606.0,,,,,2.0,1000.0,,,,,,,,,,,,,,,,,,, +300,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2024-05-06 21:21:33.000000,2024-03-11 00:59:40,984.0,4.0,571.0,97.0,336.0,44.0,718.0,3263.0,"Fast, flexible and easy to use probabilistic modelling in Python.",73.0,30,True,2024-03-11 01:00:49.000,1.0.4,74.0,pomegranate,conda-forge/pomegranate,,,,1144.0,1090.0,https://pypi.org/project/pomegranate,2024-03-11 01:00:49.000,54.0,41214.0,44292.0,https://anaconda.org/conda-forge/pomegranate,2023-12-10 17:04:41.093,147771.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +301,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2024-05-09 12:17:09.000000,2024-05-09 07:40:51,629.0,95.0,579.0,37.0,857.0,122.0,703.0,3195.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",79.0,30,True,2024-03-27 16:32:44.000,1.0.1,30.0,anomalib,,,,,66.0,63.0,https://pypi.org/project/anomalib,2024-03-27 16:33:12.000,3.0,18095.0,18422.0,,,,,,,,2.0,9494.0,,,,,,,,,,,,,,,,,,, +302,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,,324.0,66.0,75.0,15.0,121.0,3020.0,A Python Perceptual Image Hashing Module.,26.0,30,True,2022-09-28 08:48:24.658,4.3.1,20.0,ImageHash,conda-forge/imagehash,,,,13100.0,12886.0,https://pypi.org/project/ImageHash,2022-09-28 08:48:24.658,214.0,1633585.0,1637644.0,https://anaconda.org/conda-forge/imagehash,2023-06-16 13:23:10.041,365318.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +303,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2024-04-01 11:18:46.000000,2024-04-01 11:18:31,1289.0,8.0,281.0,55.0,220.0,51.0,420.0,2999.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,37.0,30,True,2023-08-21 11:33:22.000,1.12.0,28.0,stumpy,conda-forge/stumpy,,,,751.0,735.0,https://pypi.org/project/stumpy,2023-08-21 11:33:22.000,16.0,232093.0,252872.0,https://anaconda.org/conda-forge/stumpy,2023-08-21 11:50:40.587,976644.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +304,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2024-03-31 00:50:11.000000,2024-03-31 00:50:11,2705.0,33.0,366.0,38.0,517.0,51.0,216.0,2769.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",65.0,30,True,2024-03-11 02:20:29.000,0.3.10,47.0,textattack,conda-forge/textattack,,,,252.0,246.0,https://pypi.org/project/textattack,2024-03-11 02:20:29.000,6.0,5614.0,5780.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,7314.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +305,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2024-03-20 16:55:01.000000,2024-03-20 16:53:52,2297.0,3.0,722.0,79.0,205.0,191.0,466.0,2736.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",151.0,30,True,2023-12-14 04:07:38.000,0.19.0,51.0,tf-agents,,,,['tensorflow'],12.0,,https://pypi.org/project/tf-agents,2023-12-14 04:07:38.000,12.0,103098.0,103098.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +306,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 13:32:37.000,2024-04-30 15:04:21.000000,2024-04-30 15:04:21,999.0,2.0,482.0,56.0,137.0,349.0,167.0,2685.0,A high performance implementation of HDBSCAN clustering.,88.0,30,True,2023-07-18 17:54:02.116,0.8.33,51.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],3727.0,3431.0,https://pypi.org/project/hdbscan,2023-11-20 19:06:35.000,296.0,566200.0,610316.0,https://anaconda.org/conda-forge/hdbscan,2024-04-18 14:14:17.442,1897012.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +307,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2024-04-03 16:17:05.000000,2024-03-04 15:46:26,1711.0,12.0,421.0,44.0,365.0,22.0,349.0,2662.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",35.0,30,True,2024-03-04 20:59:17.000,3.3.4,71.0,foolbox,conda-forge/foolbox,,,,593.0,579.0,https://pypi.org/project/foolbox,2024-03-04 20:59:17.000,14.0,2558.0,2842.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,13068.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +308,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2024-05-06 15:33:09.000000,2024-05-06 15:17:55,1587.0,44.0,321.0,37.0,337.0,33.0,159.0,2648.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,38.0,30,True,2024-05-06 15:33:09.000,2.5.0,40.0,shapash,,,,['jupyter'],162.0,158.0,https://pypi.org/project/shapash,2024-05-06 15:33:09.000,4.0,7413.0,7413.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +309,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2024-05-06 22:09:13.000000,2024-04-05 11:33:33,2908.0,28.0,991.0,121.0,516.0,59.0,300.0,2553.0,IPython Parallel: Interactive Parallel Computing in Python.,113.0,30,False,2024-04-05 11:35:24.000,8.8.0,47.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],109.0,,https://pypi.org/project/ipyparallel,2024-04-05 11:35:24.000,109.0,451033.0,474285.0,https://anaconda.org/conda-forge/ipyparallel,2024-04-05 13:21:22.787,999848.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +310,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2024-04-25 09:54:03.000000,2024-02-28 15:45:58,1631.0,85.0,250.0,66.0,63.0,33.0,186.0,2096.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,21.0,30,True,2024-02-28 15:44:03.000,2.1.0,15.0,ampligraph,,,,['tensorflow'],49.0,49.0,https://pypi.org/project/ampligraph,2024-02-26 17:12:26.000,,1327.0,1327.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +311,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2024-05-02 02:00:08.000000,2024-04-30 19:42:51,1502.0,48.0,204.0,50.0,253.0,166.0,158.0,2062.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",42.0,30,True,2024-04-30 21:24:12.000,0.33.8,176.0,graphistry,,,,['jupyter'],120.0,114.0,https://pypi.org/project/graphistry,2024-04-30 21:24:12.000,6.0,4546.0,4546.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +312,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2024-05-08 23:38:26.000000,2024-04-20 09:26:39,883.0,24.0,126.0,21.0,369.0,118.0,234.0,1828.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,50.0,30,True,2024-04-14 13:04:28.000,0.11.4,48.0,equinox,,,,['jax'],653.0,534.0,https://pypi.org/project/equinox,2024-04-14 13:04:28.000,119.0,259117.0,259117.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +313,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2024-05-09 13:59:01.000000,2024-05-09 13:59:01,451.0,11.0,282.0,60.0,105.0,22.0,100.0,1803.0,ffn - a financial function library for Python.,33.0,30,True,2023-12-31 16:05:45.000,1.0.1,33.0,ffn,conda-forge/ffn,,,,470.0,454.0,https://pypi.org/project/ffn,2023-12-31 15:47:45.000,16.0,153652.0,153848.0,https://anaconda.org/conda-forge/ffn,2023-12-31 19:11:58.314,7265.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +314,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2024-04-29 20:57:51.000000,2024-04-29 20:57:51,290.0,5.0,355.0,51.0,78.0,78.0,113.0,1780.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,43.0,30,True,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],6106.0,6008.0,https://pypi.org/project/pyldavis,2023-04-23 23:55:02.142,98.0,164438.0,165566.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,80118.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +315,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2024-05-08 21:10:35.000000,2024-05-08 21:10:35,1593.0,4.0,281.0,55.0,139.0,79.0,183.0,1751.0,"CUDA integration for Python, plus shiny features.",82.0,30,True,2024-01-03 16:54:41.000,2024.1,53.0,pycuda,conda-forge/pycuda,,,,2954.0,2823.0,https://pypi.org/project/pycuda,2024-01-03 16:54:26.000,131.0,44410.0,52580.0,https://anaconda.org/conda-forge/pycuda,2024-01-06 20:33:04.514,310488.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +316,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2024-05-08 05:13:14.000000,2024-04-29 07:26:04,1656.0,190.0,89.0,23.0,303.0,33.0,73.0,1704.0,"Fast Open-Source Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java,..",36.0,30,True,2024-04-29 07:26:08.000,2.12.0,114.0,usearch,,unum/usearch,,,89.0,69.0,https://pypi.org/project/usearch,2024-04-29 08:22:26.000,6.0,69179.0,75395.0,,,,https://hub.docker.com/r/unum/usearch,2024-04-29 07:28:41.232497,1.0,75.0,3.0,1226.0,,,,usearch,https://www.npmjs.com/package/usearch,2024-04-10 02:44:41.570,14.0,6100.0,,,,,,,,,,, +317,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2024-05-03 19:44:08.000000,2024-04-29 13:01:42,1192.0,72.0,176.0,19.0,159.0,48.0,135.0,1701.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,29.0,30,True,2024-03-15 11:44:36.000,0.35.0,38.0,audiomentations,,,,,494.0,482.0,https://pypi.org/project/audiomentations,2024-03-15 11:44:36.000,12.0,23459.0,23459.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +318,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2024-05-09 07:46:01.000000,2024-05-09 07:46:01,3896.0,78.0,282.0,27.0,574.0,86.0,712.0,1681.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,78.0,30,True,2024-02-27 17:02:40.000,0.5.0,8.0,avalanche-lib,,,,,85.0,82.0,https://pypi.org/project/avalanche-lib,2024-02-27 16:52:08.000,3.0,1211.0,1211.0,,,,,,,,2.0,20.0,,,,,,,,,,,,,,,,,,, +319,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2024-03-30 17:39:23.000000,2024-03-30 17:39:23,1059.0,8.0,216.0,52.0,204.0,29.0,281.0,1617.0,A full spaCy pipeline and models for scientific/biomedical documents.,33.0,30,True,2024-03-08 05:58:36.000,0.5.4,15.0,scispacy,,,,,915.0,884.0,https://pypi.org/project/scispacy,2024-03-08 05:58:36.000,31.0,25601.0,25601.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +320,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2024-05-01 13:16:01.000000,2024-03-05 19:49:17,712.0,4.0,316.0,43.0,366.0,77.0,213.0,1615.0,Training PyTorch models with differential privacy.,78.0,30,True,2024-02-11 17:28:30.000,1.4.1,21.0,opacus,conda-forge/opacus,,,['pytorch'],800.0,780.0,https://pypi.org/project/opacus,2024-02-11 17:28:30.000,20.0,139402.0,139893.0,https://anaconda.org/conda-forge/opacus,2024-02-11 19:23:25.249,13697.0,,,,,2.0,109.0,,,,,,,,,,,,,,,,,,, +321,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2024-04-07 13:04:52.000000,2024-04-07 13:04:52,1249.0,5.0,135.0,30.0,109.0,35.0,254.0,1535.0,Statistical package in Python based on Pandas.,45.0,30,False,2024-01-13 15:48:45.000,0.5.4,40.0,pingouin,conda-forge/pingouin,,,,2046.0,1972.0,https://pypi.org/project/pingouin,2024-01-13 15:46:36.000,74.0,67898.0,70385.0,https://anaconda.org/conda-forge/pingouin,2024-01-15 09:58:06.763,116908.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +322,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2024-04-11 17:54:34.000000,2024-04-11 17:54:34,1875.0,17.0,269.0,45.0,274.0,60.0,198.0,1499.0,TensorLy: Tensor Learning in Python.,67.0,30,True,2023-03-08 01:09:02.237,0.8.1,20.0,tensorly,conda-forge/tensorly,,,,716.0,639.0,https://pypi.org/project/tensorly,2023-03-08 01:09:02.237,77.0,31142.0,36201.0,https://anaconda.org/conda-forge/tensorly,2023-06-16 16:08:38.154,364254.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +323,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2024-04-25 13:15:07.000000,2024-04-25 13:15:07,1476.0,4.0,159.0,32.0,249.0,,,1318.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",22.0,30,True,2024-04-25 12:54:53.000,1.3.5,77.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],1694.0,1643.0,https://pypi.org/project/spacy-transformers,2024-04-25 12:53:43.000,51.0,240426.0,241490.0,https://anaconda.org/conda-forge/spacy-transformers,2023-12-19 11:34:09.090,31928.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +324,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2024-03-15 15:54:00.000000,2024-03-15 15:54:00,4210.0,4.0,285.0,80.0,643.0,20.0,608.0,1279.0,PySAL: Python Spatial Analysis Library Meta-Package.,78.0,30,True,2024-01-31 22:49:04.000,24.01,37.0,pysal,conda-forge/pysal,,,,1548.0,1509.0,https://pypi.org/project/pysal,2024-01-31 22:49:08.000,39.0,22116.0,33865.0,https://anaconda.org/conda-forge/pysal,2023-10-04 23:43:19.864,540462.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +325,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2024-04-05 19:20:06.000000,2024-04-05 18:52:42,3044.0,24.0,269.0,34.0,37.0,1.0,491.0,1212.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,16.0,30,True,2024-04-05 19:20:07.000,0.41.3,210.0,ktrain,,,,['tensorflow'],520.0,517.0,https://pypi.org/project/ktrain,2024-04-05 18:57:50.000,3.0,10137.0,10137.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +326,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 15:56:06.000,2024-04-02 02:34:15.000000,2024-04-02 02:31:39,818.0,7.0,248.0,40.0,509.0,273.0,256.0,883.0,Scalable Machine Learning with Dask.,78.0,30,True,2024-04-02 02:33:18.000,2024.4.4,37.0,dask-ml,conda-forge/dask-ml,,,,1101.0,1012.0,https://pypi.org/project/dask-ml,2024-04-02 02:33:18.000,89.0,326455.0,343597.0,https://anaconda.org/conda-forge/dask-ml,2024-03-21 17:55:27.760,822819.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +327,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000,2024-05-08 08:35:29.000000,2024-05-08 08:27:52,3113.0,75.0,112.0,16.0,277.0,7.0,149.0,755.0,Python bindings for MPI.,26.0,30,True,2024-04-14 10:39:44.000,3.1.6,28.0,mpi4py,conda-forge/mpi4py,,,,672.0,,https://pypi.org/project/mpi4py,2024-04-14 10:34:55.000,672.0,227398.0,284948.0,https://anaconda.org/conda-forge/mpi4py,2024-04-15 09:42:38.104,2453018.0,,,,,2.0,23201.0,,,,,,,,,,,,,,,,,,, +328,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 15:47:02.000,2024-05-08 17:43:55.000000,2024-05-08 17:43:54,962.0,16.0,165.0,48.0,85.0,37.0,144.0,751.0,Library for exploring and validating machine learning data.,26.0,30,True,2024-04-24 23:26:22.000,1.15.1,46.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",911.0,880.0,https://pypi.org/project/tensorflow-data-validation,2024-04-24 23:54:11.000,31.0,186223.0,186232.0,,,,,,,,3.0,648.0,,,,,,,,,,,,,,,,,,, +329,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2024-05-02 04:23:06.000000,2024-05-02 04:21:55,1073.0,19.0,173.0,35.0,117.0,27.0,61.0,721.0,Snowball compiler and stemming algorithms.,34.0,30,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,403.0,5.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,398.0,16032139.0,16118055.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,7990212.0,,,,,2.0,,-2.0,,,,,,,,,,,,,,,,,, +330,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2024-03-04 08:10:52.000000,2023-12-15 12:50:52,282.0,,107.0,24.0,53.0,37.0,57.0,479.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,25.0,30,True,2023-09-27 19:27:51.000,3.0.1,27.0,audioread,conda-forge/audioread,,,,20544.0,20419.0,https://pypi.org/project/audioread,2023-09-27 19:27:51.000,125.0,2096139.0,2113935.0,https://anaconda.org/conda-forge/audioread,2023-09-30 21:07:31.348,765241.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +331,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2024-04-23 19:58:08.000000,2023-04-19 14:13:08,2404.0,,3678.0,605.0,227.0,49.0,,13132.0,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,2086.0,2026.0,https://pypi.org/project/backtrader,2023-04-19 14:15:00.742,60.0,20358.0,20358.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +332,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,,1840.0,217.0,46.0,96.0,94.0,8949.0,"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'],114.0,20.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,94.0,116404.0,117100.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,32753.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +333,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2024-05-09 01:38:51.000000,2024-04-26 06:29:23,1174.0,6.0,1318.0,100.0,640.0,691.0,521.0,8055.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,127.0,29,True,,,4.0,,conda-forge/nvidia-apex,,,['pytorch'],2449.0,2449.0,,,,,4655.0,https://anaconda.org/conda-forge/nvidia-apex,2024-05-02 01:13:53.661,200194.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +334,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2024-03-31 17:27:35.000000,2023-10-22 09:33:23,779.0,,1156.0,211.0,92.0,194.0,122.0,5689.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",28.0,29,True,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,471.0,459.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,12.0,11175.0,11175.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +335,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,,888.0,126.0,38.0,72.0,144.0,5222.0,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'],3359.0,3271.0,https://pypi.org/project/torchdiffeq,2022-04-22 15:21:47.000,88.0,773975.0,774291.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,15196.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +336,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-05-03 15:03:51.000000,2024-05-03 06:07:39,1600.0,42.0,810.0,146.0,1513.0,342.0,399.0,4975.0,Simple and Distributed Machine Learning.,118.0,29,True,2024-04-11 00:33:42.000,1.0.4,48.0,synapseml,,,,,3.0,,https://pypi.org/project/synapseml,2024-04-11 00:33:42.000,3.0,234909.0,234909.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +337,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,,634.0,147.0,789.0,141.0,356.0,4728.0,Deep Learning Visualization Toolkit.,33.0,29,True,2023-06-05 07:21:00.910,2.5.3,43.0,visualdl,,,,['paddle'],2888.0,2842.0,https://pypi.org/project/visualdl,2023-06-05 07:21:00.910,46.0,206544.0,206551.0,,,,,,,,2.0,361.0,,,,,,,,,,,,,,,,,,, +338,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,,445.0,41.0,124.0,67.0,154.0,4309.0,Data augmentation for NLP.,33.0,29,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,1207.0,1174.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,33.0,123256.0,123800.0,https://anaconda.org/conda-forge/nlpaug,2023-06-16 19:26:38.185,19043.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +339,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2024-02-17 21:29:54.000000,2023-11-13 07:19:19,1344.0,,375.0,69.0,367.0,98.0,460.0,4161.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",105.0,29,True,2023-11-13 07:24:08.000,0.8.5,29.0,sacred,conda-forge/sacred,,,,3045.0,2987.0,https://pypi.org/project/sacred,2023-11-13 07:24:08.000,58.0,28281.0,28453.0,https://anaconda.org/conda-forge/sacred,2023-11-28 14:54:27.704,5182.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +340,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,,274.0,46.0,50.0,27.0,94.0,3860.0,A simple command-line utility for querying and monitoring GPU status.,17.0,29,True,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,5410.0,5272.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,138.0,913576.0,920327.0,https://anaconda.org/conda-forge/gpustat,2023-08-23 10:35:25.821,283559.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +341,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2024-05-06 19:06:24.000000,2024-03-15 19:57:42,1777.0,48.0,583.0,39.0,829.0,481.0,283.0,3631.0,Time series forecasting with PyTorch.,44.0,29,True,2023-04-10 19:57:38.490,1.0.0,34.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,16.0,,https://pypi.org/project/pytorch-forecasting,2020-07-26 21:35:43.000,16.0,49515.0,50785.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,55921.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +342,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2024-05-06 14:40:43.000000,2024-02-24 20:17:13,454.0,8.0,522.0,113.0,93.0,20.0,101.0,3428.0,Module for automatic summarization of text documents and HTML pages.,31.0,29,True,2022-10-23 16:42:18.783,0.11.0,16.0,sumy,conda-forge/sumy,,,,2739.0,2713.0,https://pypi.org/project/sumy,2022-10-23 16:42:18.783,26.0,389954.0,390177.0,https://anaconda.org/conda-forge/sumy,2023-06-16 19:26:28.563,7828.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +343,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2024-03-20 16:17:12.000000,2022-04-29 04:19:24,1698.0,,384.0,45.0,1085.0,2.0,353.0,3231.0,Accelerated deep learning R&D.,104.0,29,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1144.0,1114.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,30.0,11637.0,11637.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +344,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2024-05-07 11:09:53.000000,2024-05-07 11:04:36,856.0,54.0,361.0,42.0,933.0,33.0,301.0,3097.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",45.0,29,True,2024-03-04 14:51:09.000,0.8.1,15.0,python-doctr,,,,"['tensorflow', 'pytorch']",3.0,,https://pypi.org/project/python-doctr,2024-03-04 14:51:09.000,3.0,30372.0,103780.0,,,,,,,,3.0,2862918.0,-3.0,,,,,,,,,,,,,,,,,, +345,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,,674.0,110.0,72.0,100.0,123.0,2980.0,Productivity Tools for Plotly + Pandas.,38.0,29,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],10784.0,10682.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,102.0,68553.0,68553.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +346,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 03:16:39.000,2024-03-22 11:10:03.000000,2023-06-20 03:14:12,435.0,,294.0,33.0,476.0,53.0,30.0,2949.0,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'],1244.0,1160.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,84.0,133765.0,134034.0,https://anaconda.org/conda-forge/torch-optimizer,2023-06-16 19:25:40.043,9958.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +347,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2024-04-15 09:57:54.000000,2024-04-13 08:53:37,1167.0,17.0,385.0,49.0,74.0,142.0,479.0,2941.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",26.0,29,True,2024-04-10 12:40:10.000,1.1.7,90.0,mljar-supervised,conda-forge/mljar-supervised,,,,111.0,109.0,https://pypi.org/project/mljar-supervised,2024-04-10 12:40:10.000,2.0,3572.0,3974.0,https://anaconda.org/conda-forge/mljar-supervised,2024-04-15 06:59:59.678,14077.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +348,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2024-04-10 12:25:23.000000,2021-10-29 06:15:49,2535.0,,419.0,63.0,933.0,315.0,745.0,2898.0,StellarGraph - Machine Learning on Graphs.,37.0,29,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,,['tensorflow'],268.0,260.0,https://pypi.org/project/stellargraph,2021-02-22 06:35:38.731,8.0,9113.0,9113.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +349,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2024-05-07 09:00:20.000000,2024-05-07 09:00:14,3530.0,10.0,341.0,153.0,1174.0,32.0,60.0,2694.0,Neural Network Libraries.,76.0,29,True,2023-12-07 00:57:13.000,1.38.0,78.0,nnabla,,,,,55.0,,https://pypi.org/project/nnabla,2023-12-06 09:31:24.000,55.0,3345.0,3356.0,,,,,,,,3.0,916.0,,,,,,,,,,,,,,,,,,, +350,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,,519.0,95.0,1045.0,260.0,297.0,2551.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",86.0,29,False,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,,['mxnet'],1544.0,1522.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,76717.0,76717.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +351,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2024-03-18 12:42:13.000000,2018-08-19 12:37:47,130.0,,279.0,65.0,60.0,29.0,39.0,2400.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,29,False,2018-08-19 12:25:39.290,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],4932.0,4850.0,https://pypi.org/project/scikit-plot,2018-08-19 12:25:39.290,82.0,540604.0,542706.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,172414.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +352,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2024-05-06 21:11:26.000000,2024-04-08 19:42:17,436.0,17.0,809.0,90.0,284.0,188.0,102.0,2321.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",73.0,29,True,2024-04-08 20:03:12.000,0.6.1,12.0,aif360,conda-forge/aif360,,,,425.0,408.0,https://pypi.org/project/aif360,2024-04-08 20:03:12.000,17.0,43730.0,43953.0,https://anaconda.org/conda-forge/aif360,2024-04-09 06:44:48.814,9841.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +353,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Intel,2019-02-26 10:10:56.000,2024-05-07 14:46:34.000000,2024-05-07 14:46:34,662.0,11.0,247.0,52.0,650.0,146.0,225.0,2296.0,Algorithms for explaining machine learning models.,22.0,29,False,2024-04-18 15:30:25.000,0.9.6,34.0,alibi,,,,,623.0,596.0,https://pypi.org/project/alibi,2024-04-18 15:29:10.000,27.0,19182.0,19182.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +354,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Intel,2019-10-07 13:29:13.000,2024-05-07 14:46:58.000000,2024-05-07 14:46:58,726.0,11.0,213.0,37.0,536.0,141.0,235.0,2092.0,"Algorithms for outlier, adversarial and drift detection.",23.0,29,False,2024-04-17 16:12:46.000,0.12.0,38.0,alibi-detect,,,,,438.0,432.0,https://pypi.org/project/alibi-detect,2024-04-17 16:12:46.000,6.0,34653.0,34653.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +355,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2024-05-09 15:02:07.000000,2024-04-04 17:23:09,848.0,5.0,392.0,37.0,874.0,170.0,294.0,1806.0,A Python package to assess and improve fairness of machine learning models.,81.0,29,True,2023-12-19 14:14:09.000,0.10.0,20.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],53.0,3.0,https://pypi.org/project/fairlearn,2023-12-19 02:11:12.000,50.0,285510.0,286269.0,https://anaconda.org/conda-forge/fairlearn,2023-12-20 11:56:56.090,31894.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +356,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2024-05-06 18:14:08.000000,2024-05-06 18:14:07,2448.0,1.0,437.0,76.0,1264.0,148.0,682.0,1801.0,Gaussian processes in TensorFlow.,84.0,29,True,2024-02-07 15:19:13.000,2.9.1,49.0,gpflow,conda-forge/gpflow,,,['tensorflow'],683.0,646.0,https://pypi.org/project/gpflow,2024-02-07 15:19:13.000,37.0,45959.0,46322.0,https://anaconda.org/conda-forge/gpflow,2023-06-16 16:08:37.785,26194.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +357,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2024-05-03 19:51:28.000000,2024-02-16 16:14:36,365.0,1.0,260.0,48.0,313.0,247.0,184.0,1757.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,43.0,29,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,,['tensorflow'],321.0,320.0,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,1.0,472978.0,472978.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +358,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2024-04-25 08:57:36.000000,2024-04-25 00:46:12,1435.0,21.0,271.0,73.0,105.0,33.0,55.0,1242.0,Model analysis tools for TensorFlow.,57.0,29,True,2024-04-25 08:57:36.000,0.46.0,57.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",25.0,2.0,https://pypi.org/project/tensorflow-model-analysis,2024-04-25 08:57:36.000,23.0,75865.0,75865.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +359,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 20:46:53.000,2024-05-03 19:48:19.000000,2024-05-03 19:48:19,1959.0,24.0,321.0,26.0,2266.0,87.0,226.0,1227.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,42.0,29,True,2024-05-01 20:26:32.000,0.35.0,55.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",104.0,98.0,https://pypi.org/project/raiwidgets,2024-04-18 18:42:57.000,6.0,3966.0,3966.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +360,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2024-05-03 21:03:08.000000,2024-01-17 21:03:09,532.0,,411.0,51.0,40.0,16.0,139.0,1221.0,"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,,,,2626.0,2588.0,https://pypi.org/project/kmodes,2022-09-06 19:38:02.764,38.0,366696.0,367559.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,42309.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +361,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 22:15:53.000,2024-05-05 17:04:45.000000,2024-05-05 17:04:42,1099.0,42.0,207.0,23.0,138.0,24.0,192.0,1074.0,Survival analysis built on top of scikit-learn.,20.0,29,False,2023-12-30 23:36:40.000,0.22.2,28.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],495.0,468.0,https://pypi.org/project/scikit-survival,2023-12-30 23:36:40.000,27.0,92486.0,95384.0,https://anaconda.org/conda-forge/scikit-survival,2023-12-31 00:55:10.043,86965.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +362,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2024-04-01 17:38:38.000000,2024-03-25 14:43:57,494.0,1.0,121.0,31.0,128.0,27.0,74.0,882.0,Python bindings and utilities for GeoJSON.,56.0,29,True,2023-11-05 21:06:50.000,3.1.0,31.0,geojson,conda-forge/geojson,,,,17751.0,17132.0,https://pypi.org/project/geojson,2023-11-05 21:06:50.000,619.0,1765884.0,1819159.0,https://anaconda.org/conda-forge/geojson,2023-11-06 11:21:40.354,799138.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +363,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2024-03-29 21:39:55.734000,2024-03-29 19:58:22,669.0,3.0,102.0,14.0,95.0,71.0,64.0,841.0,A Python nearest neighbor descent for approximate nearest neighbors.,27.0,29,True,2024-03-29 20:37:40.000,0.5.12,31.0,pynndescent,conda-forge/pynndescent,,,,6448.0,6310.0,https://pypi.org/project/pynndescent,2024-03-29 20:37:40.000,138.0,1290412.0,1330218.0,https://anaconda.org/conda-forge/pynndescent,2024-03-29 21:39:55.734,1831098.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +364,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2024-05-02 23:52:53.000000,2024-05-02 23:51:30,1310.0,8.0,149.0,50.0,57.0,21.0,69.0,830.0,Computer Vision in Python.,35.0,29,True,2024-04-17 11:27:48.000,1.4.15,61.0,mahotas,conda-forge/mahotas,,,,1316.0,1256.0,https://pypi.org/project/mahotas,2024-04-17 11:27:48.000,60.0,17561.0,26179.0,https://anaconda.org/conda-forge/mahotas,2024-04-18 00:57:35.551,405090.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +365,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2024-05-07 15:53:15.000000,2024-05-01 16:34:13,823.0,21.0,75.0,26.0,385.0,109.0,232.0,568.0,"Simple, concise geographical visualization in Python.",32.0,29,True,2024-04-05 15:56:28.000,1.12.0,63.0,geoviews,conda-forge/geoviews,,,,1035.0,979.0,https://pypi.org/project/geoviews,2024-04-05 10:57:38.000,56.0,12217.0,17205.0,https://anaconda.org/conda-forge/geoviews,2024-04-05 16:04:19.139,219480.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +366,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2024-04-12 14:20:43.000000,2024-04-12 14:18:33,232.0,5.0,58.0,13.0,204.0,13.0,187.0,316.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",14.0,29,True,2024-04-12 14:20:43.000,3.9.1,72.0,pystan,conda-forge/pystan,,,,9952.0,9795.0,https://pypi.org/project/pystan,2024-04-12 14:20:43.000,157.0,1902239.0,1935021.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2819255.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +367,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,,4819.0,651.0,372.0,498.0,436.0,15365.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,28,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,564.0,561.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,3.0,901.0,901.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +368,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2024-05-09 12:17:17.000000,2023-12-28 07:35:14,2224.0,,2813.0,197.0,3644.0,1200.0,4124.0,12120.0,"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'],2.0,,https://pypi.org/project/paddledet,2022-09-19 20:42:09.271,2.0,731.0,731.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +369,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2024-05-06 20:38:27.000000,2024-05-06 20:36:49,342.0,9.0,1364.0,428.0,50.0,102.0,87.0,10379.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,28,True,2024-05-06 20:38:27.000,4.0.9,47.0,dopamine-rl,,,,['tensorflow'],31.0,21.0,https://pypi.org/project/dopamine-rl,2024-05-06 20:38:27.000,10.0,26897.0,26897.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +370,pysc2,deepmind/pysc2,others,,https://github.com/google-deepmind/pysc2,https://github.com/google-deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2024-05-02 01:34:04.000000,2023-04-19 16:47:52,581.0,,1146.0,350.0,80.0,49.0,231.0,7920.0,StarCraft II Learning Environment.,39.0,28,False,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,761.0,735.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,3250.0,3636.0,,,,,,,,2.0,31271.0,,,google-deepmind/pysc2,,,,,,,,,,,,,,,, +371,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,,909.0,267.0,98.0,82.0,81.0,7319.0,Visualizations for machine learning datasets.,31.0,28,True,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,,['jupyter'],245.0,237.0,https://pypi.org/project/facets-overview,2023-05-24 15:58:01.158,8.0,262928.0,262928.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +372,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,,1328.0,175.0,46.0,78.0,238.0,6818.0,2D 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'],30.0,21.0,https://pypi.org/project/face-alignment,2023-08-17 14:43:11.000,9.0,80357.0,80357.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +373,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,,1368.0,204.0,158.0,44.0,227.0,5493.0,Deep Reinforcement Learning for Keras.,41.0,28,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],768.0,762.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,6.0,1559.0,1559.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +374,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2024-03-18 16:23:03.000000,2018-07-25 01:28:08,1796.0,,780.0,273.0,438.0,221.0,329.0,4817.0,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,28,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,,['tensorflow'],317.0,315.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,2.0,517.0,517.0,,,,,,,,3.0,22.0,,,,,,,,,,,,,,,,,,, +375,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,,676.0,88.0,206.0,153.0,356.0,4611.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,28,False,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1463.0,1431.0,https://pypi.org/project/lightfm,2023-03-20 04:15:00.582,32.0,430275.0,432581.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,175330.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +376,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 20:22:54.000,2024-03-07 14:59:40.000000,2022-08-06 21:47:18,182.0,,434.0,71.0,61.0,101.0,56.0,4497.0,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,,,,,1748.0,1741.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,7.0,250426.0,250426.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +377,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2024-03-16 11:54:12.000000,2022-04-01 13:57:36,131.0,,966.0,145.0,31.0,46.0,77.0,4258.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,28,False,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,8459.0,8372.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,87.0,206365.0,206732.0,https://anaconda.org/conda-forge/vadersentiment,2023-06-16 19:25:16.902,13956.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +378,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2024-05-04 10:26:27.000000,2024-04-05 14:20:01,251.0,2.0,917.0,52.0,54.0,69.0,106.0,4185.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,17.0,28,True,2024-04-29 17:50:14.000,2.6.0,33.0,facenet-pytorch,,,,['pytorch'],1791.0,1761.0,https://pypi.org/project/facenet-pytorch,2024-04-29 17:50:14.000,30.0,59310.0,76953.0,,,,,,,,3.0,952757.0,,,,,,,,,,,,,,,,,,, +379,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2024-04-13 16:57:34.000000,2024-03-19 16:05:30,525.0,2.0,717.0,176.0,82.0,8.0,280.0,4166.0,A python wrapper for Alpha Vantage API for financial data.,43.0,28,True,2020-12-21 02:37:29.000,2.3.1,34.0,alpha_vantage,conda-forge/alpha_vantage,,,,571.0,539.0,https://pypi.org/project/alpha_vantage,2020-12-21 02:36:15.000,32.0,30444.0,30610.0,https://anaconda.org/conda-forge/alpha_vantage,2023-06-16 19:24:19.804,6660.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +380,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2024-03-02 15:10:25.000000,2021-05-10 18:34:53,57.0,,412.0,37.0,56.0,137.0,43.0,3962.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,28,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,,['pytorch'],14010.0,13890.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,120.0,258608.0,258608.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +381,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,,971.0,217.0,408.0,140.0,402.0,3848.0,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,,,,,1057.0,1045.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,12.0,2509.0,2509.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +382,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2024-05-02 05:08:24.000000,2024-04-17 02:40:53,1439.0,73.0,343.0,69.0,1332.0,96.0,83.0,3400.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,36.0,28,True,2024-04-09 23:12:45.000,1.1.1,16.0,lit-nlp,conda-forge/lit-nlp,,,,34.0,32.0,https://pypi.org/project/lit-nlp,2024-04-09 23:12:45.000,2.0,4539.0,6134.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,70212.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +383,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2024-05-03 17:19:46.000000,2024-05-03 17:18:25,1200.0,5.0,410.0,82.0,54.0,61.0,202.0,3385.0,A library of reinforcement learning components and agents.,85.0,28,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],202.0,199.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,1991.0,2191.0,https://anaconda.org/conda-forge/dm-acme,2023-06-16 19:23:44.096,8421.0,,,,,2.0,,,,google-deepmind/acme,,,,,,,,,,,,,,,, +384,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,,455.0,82.0,245.0,62.0,154.0,3035.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,28,False,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,,184.0,182.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,2.0,60994.0,60995.0,,,,,,,,2.0,77.0,,,,,,,,,,,,,,,,,,, +385,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,,330.0,46.0,120.0,66.0,136.0,2847.0,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,,,,1172.0,1148.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,24.0,132879.0,134513.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,68630.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +386,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2024-03-18 21:00:38.000000,2024-03-18 20:31:55,556.0,8.0,473.0,96.0,43.0,89.0,240.0,2715.0,Learning to Rank in TensorFlow.,34.0,28,True,2024-03-18 21:00:38.000,0.5.5,23.0,tensorflow_ranking,,,,['tensorflow'],15.0,,https://pypi.org/project/tensorflow_ranking,2024-03-18 21:00:38.000,15.0,123694.0,123694.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +387,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2024-05-09 14:43:17.000000,2024-05-09 14:43:16,3514.0,11.0,522.0,108.0,347.0,388.0,683.0,2699.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",81.0,28,False,2015-03-31 16:33:30.000,2.0,21.0,essentia,,,,,663.0,643.0,https://pypi.org/project/essentia,2024-04-29 15:12:27.000,20.0,12355.0,12355.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +388,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 02:26:03.000,2024-04-23 23:08:36.000000,2023-12-03 09:09:14,2415.0,,254.0,27.0,1131.0,77.0,224.0,2583.0,Database system for AI-powered apps.,73.0,28,True,2023-11-19 16:35:30.000,0.3.9,45.0,evadb,,,,['pytorch'],142.0,142.0,https://pypi.org/project/evadb,2023-11-19 16:35:24.000,,7155.0,25879.0,,,,,,,,3.0,411934.0,,,georgia-tech-db/evadb,,,,,,,,,,,,,,,, +389,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 16:21:43.000,2024-05-08 20:19:36.000000,2024-05-08 20:19:36,108.0,22.0,319.0,27.0,302.0,42.0,330.0,2406.0,A Unified Library for Parameter-Efficient and Modular Transfer Learning.,8.0,28,True,2024-04-25 13:54:25.000,0.2.0,19.0,adapter-transformers,,,,['huggingface'],55.0,48.0,https://pypi.org/project/adapter-transformers,2023-12-16 14:14:02.000,7.0,129839.0,129839.0,,,,,,,,2.0,,,,adapter-hub/adapters,,,,,,,,,,,,,,,, +390,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2024-01-21 16:47:04.000000,2024-01-21 16:46:47,1134.0,,336.0,44.0,57.0,67.0,207.0,2346.0,Graph Neural Networks with Keras and Tensorflow 2.,27.0,28,True,2024-01-21 16:17:36.000,1.3.1,35.0,spektral,,,,['tensorflow'],296.0,289.0,https://pypi.org/project/spektral,2024-01-21 16:17:36.000,7.0,7539.0,7539.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +391,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,,313.0,64.0,14.0,29.0,47.0,2248.0,Stand-alone language identification system.,9.0,28,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,11249.0,11105.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000,144.0,409747.0,409747.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +392,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2024-04-26 00:01:37.000000,2021-07-09 11:06:18,56.0,,495.0,42.0,25.0,66.0,38.0,2128.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",15.0,28,False,2021-07-09 11:16:39.000,0.1.1,11.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],5197.0,5146.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000,51.0,80742.0,80971.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,11706.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +393,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2024-02-13 19:24:57.000000,2024-02-01 18:50:30,675.0,,400.0,41.0,62.0,19.0,270.0,1874.0,"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,,,,1621.0,1599.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,22.0,35312.0,36024.0,https://anaconda.org/conda-forge/ogb,2023-06-16 19:21:31.692,31367.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +394,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2024-05-07 12:37:14.000000,2024-05-07 12:37:14,2031.0,232.0,126.0,28.0,190.0,16.0,22.0,1873.0,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,28,True,2024-03-21 07:36:40.000,0.5.1,145.0,labml,,,,,154.0,148.0,https://pypi.org/project/labml,2024-03-21 07:36:40.000,6.0,4904.0,4904.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +395,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2024-02-13 11:22:02.000000,2024-02-13 11:18:32,1805.0,6.0,377.0,50.0,125.0,41.0,422.0,1673.0,Reinforcement Learning environments based on the 1993 game Doom.,54.0,28,True,2023-12-16 01:55:15.000,1.2.3,29.0,vizdoom,,,,,247.0,234.0,https://pypi.org/project/vizdoom,2023-12-16 01:55:15.000,13.0,3550.0,3670.0,,,,,,,,2.0,11851.0,,,Farama-Foundation/ViZDoom,,,,,,,,,,,,,,,, +396,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2024-04-29 18:33:44.000000,2024-04-29 18:20:59,222.0,30.0,197.0,32.0,20.0,1.0,89.0,1633.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",17.0,28,True,2024-04-29 18:33:44.000,0.1.904,89.0,autoviz,conda-forge/autoviz,,,,681.0,674.0,https://pypi.org/project/autoviz,2024-04-29 18:33:44.000,7.0,30798.0,32296.0,https://anaconda.org/conda-forge/autoviz,2024-04-26 17:50:17.078,49459.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +397,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,,183.0,34.0,72.0,21.0,52.0,1483.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,8.0,28,True,2023-09-26 22:07:23.000,0.2.6,5.0,torchsde,conda-forge/torchsde,,,['pytorch'],3014.0,2985.0,https://pypi.org/project/torchsde,2023-09-26 21:52:19.000,29.0,1388743.0,1389254.0,https://anaconda.org/conda-forge/torchsde,2023-06-16 19:24:16.458,20445.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +398,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2024-05-03 13:51:20.000000,2024-05-03 13:51:12,588.0,20.0,414.0,30.0,50.0,14.0,125.0,1389.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,29.0,28,False,2024-02-16 09:48:48.000,2.3.2,25.0,minisom,,,,,601.0,577.0,https://pypi.org/project/minisom,2024-02-16 09:47:58.000,24.0,22571.0,22571.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +399,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2024-03-02 16:58:45.000000,2023-06-06 09:46:40,415.0,,328.0,39.0,301.0,26.0,200.0,1231.0,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,,,,,401.0,379.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,22.0,21017.0,21017.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +400,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2024-05-09 14:41:11.000000,2024-05-07 08:20:18,512.0,23.0,113.0,23.0,355.0,34.0,271.0,1157.0,Extra blocks for scikit-learn pipelines.,67.0,28,True,2024-04-16 14:59:21.000,0.8.2,50.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],150.0,142.0,https://pypi.org/project/scikit-lego,2024-04-16 12:18:11.000,8.0,22081.0,23073.0,https://anaconda.org/conda-forge/scikit-lego,2024-04-17 13:14:18.003,47661.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +401,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2024-05-09 14:34:38.000000,2024-05-08 11:04:54,1793.0,294.0,73.0,10.0,531.0,44.0,608.0,1112.0,An open-source container orchestration engine for running AI workloads in any cloud or data center...,24.0,28,True,2024-04-30 10:54:46.000,0.18.1,201.0,dstack,,,,,14.0,14.0,https://pypi.org/project/dstack,2024-04-30 10:54:46.000,,2665.0,2665.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +402,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,,446.0,42.0,176.0,93.0,102.0,1024.0,"Utilities for working with image data, text data, and sequence data.",52.0,28,False,2020-05-14 03:55:22.223,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],304.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:55:22.223,304.0,5500710.0,5531885.0,https://anaconda.org/conda-forge/keras-preprocessing,2023-06-16 16:10:42.597,2213439.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +403,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/JoaquinAmatRodrigo/skforecast,https://github.com/JoaquinAmatRodrigo/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2024-05-09 10:58:08.000000,2024-05-05 12:36:31,3120.0,279.0,107.0,11.0,547.0,36.0,108.0,907.0,Time series forecasting with scikit-learn models.,13.0,28,True,2024-05-05 12:55:26.000,0.12.0,26.0,skforecast,,,,['sklearn'],268.0,257.0,https://pypi.org/project/skforecast,2024-05-05 12:52:36.000,11.0,48394.0,48394.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +404,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2024-05-07 15:07:57.000000,2024-05-07 15:07:54,3714.0,7.0,323.0,66.0,687.0,38.0,528.0,821.0,The Classical Language Toolkit.,121.0,28,True,2024-05-07 15:05:11.000,1.2.6,216.0,cltk,,,,,275.0,260.0,https://pypi.org/project/cltk,2024-05-07 15:05:11.000,15.0,2065.0,2065.0,,,,,,,,2.0,64.0,,,,,,,,,,,,,,,,,,, +405,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2024-05-07 17:51:00.077000,2024-05-06 22:23:15,1352.0,20.0,130.0,25.0,471.0,13.0,132.0,820.0,A Comparative Framework for Multimodal Recommender Systems.,21.0,28,True,2024-05-06 22:24:15.000,2.2.0,57.0,cornac,conda-forge/cornac,,,,228.0,210.0,https://pypi.org/project/cornac,2024-05-06 22:50:06.000,18.0,31688.0,39632.0,https://anaconda.org/conda-forge/cornac,2024-05-07 17:51:00.077,373414.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +406,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,,36.0,11.0,69.0,7.0,26.0,209.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,12.0,28,False,2023-09-22 06:31:01.000,0.7.11,46.0,blis,conda-forge/cython-blis,,,,42744.0,42651.0,https://pypi.org/project/blis,2023-09-22 06:27:17.000,93.0,8553566.0,8601121.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2092451.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +407,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2024-03-26 06:01:50.000000,2023-10-12 07:20:40,1894.0,,1067.0,236.0,455.0,67.0,265.0,17118.0,"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,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:15:00.281,,46996.0,47405.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-10-14 18:53:31.974373,17.0,23724.0,3.0,,,,,,,,,,,,,,,,,,,, +408,pandas-ai,gventuri/pandas-ai,others,,https://github.com/Sinaptik-AI/pandas-ai,https://github.com/Sinaptik-AI/pandas-ai,,2023-04-22 12:58:01.000,2024-05-05 22:32:38.000000,2024-05-05 22:30:17,929.0,182.0,986.0,96.0,434.0,230.0,333.0,11104.0,"Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational..",75.0,27,False,2024-05-05 22:32:38.000,2.0.37,100.0,pandas-ai,,,,,2961.0,2961.0,https://pypi.org/project/pandas-ai,,,,,,,,,,,,3.0,,,,Sinaptik-AI/pandas-ai,,,,,,,,,,,,,,,, +409,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2024-04-05 19:03:17.000000,2022-11-08 22:11:16,98.0,,1772.0,204.0,73.0,109.0,36.0,10096.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,30.0,27,False,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,12.0,2.0,https://pypi.org/project/english-words,2023-05-24 15:11:00.531,10.0,57384.0,57384.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +410,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,,1500.0,130.0,51.0,155.0,141.0,7765.0,A PyTorch implementation of EfficientNet.,24.0,27,False,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],44.0,1.0,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000,43.0,144292.0,221734.0,,,,,,,,2.0,3872128.0,,,,,,,,,,,,,,,,,,, +411,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,,1639.0,459.0,698.0,33.0,441.0,7298.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,134.0,27,False,2022-02-15 02:05:47.000,2.2.5,84.0,tensorlayer,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,11.0,2108.0,2131.0,,,,,,,,2.0,2186.0,,,,,,,,,,,,,,,,,,, +412,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,,1353.0,348.0,14.0,42.0,66.0,6336.0,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1333.0,1326.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,7.0,43056.0,43056.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +413,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,,1586.0,624.0,2111.0,453.0,1338.0,6334.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",123.0,27,False,2018-06-01 15:39:25.550,1.0.5,53.0,nupic,,,,,21.0,21.0,https://pypi.org/project/nupic,2016-09-01 21:30:21.000,,2149.0,2149.0,,,,,,,,3.0,8.0,,,numenta/nupic-legacy,,,,,,,,,,,,,,,, +414,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2024-05-09 13:02:01.000000,2024-04-29 15:11:44,653.0,1.0,1003.0,146.0,97.0,90.0,305.0,6202.0,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,,,,57.0,21.0,https://pypi.org/project/scikit-surprise,2022-09-23 17:17:00.724,36.0,88275.0,96126.0,https://anaconda.org/conda-forge/scikit-surprise,2023-10-06 08:13:53.418,361188.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +415,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2024-04-29 08:04:00.000000,2024-03-08 08:24:03,13775.0,82.0,1536.0,141.0,3584.0,845.0,1097.0,5521.0,An Industrial Grade Federated Learning Framework.,100.0,27,True,2024-03-08 08:32:35.000,2.1.0,49.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +416,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2024-03-21 14:27:34.000000,2023-03-29 07:02:37,553.0,,867.0,125.0,64.0,136.0,74.0,5027.0,Image augmentation library in Python for machine learning.,23.0,27,False,2023-03-29 07:06:01.465,0.2.12,24.0,Augmentor,,,,,761.0,749.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,12.0,9756.0,9756.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +417,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2024-04-04 13:02:44.000000,2024-04-04 13:02:44,6153.0,1.0,527.0,151.0,1906.0,338.0,1331.0,4419.0,ArrayFire: a general purpose GPU library.,88.0,27,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,,10.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,10.0,1542.0,1598.0,,,,,,,,2.0,6012.0,,,,,,,,,,,,,,,,,,, +418,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,,548.0,104.0,617.0,89.0,606.0,4203.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,27,True,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],91.0,,https://pypi.org/project/yellowbrick,2022-08-21 16:11:55.287,91.0,572966.0,574684.0,https://anaconda.org/conda-forge/yellowbrick,2023-06-16 19:21:13.554,77319.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +419,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2024-04-23 02:12:59.000000,2024-04-23 02:12:59,1138.0,1.0,720.0,60.0,1013.0,167.0,740.0,4098.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",90.0,27,True,2023-07-04 07:12:41.567,1.0.1,20.0,mmocr,,,,['pytorch'],125.0,122.0,https://pypi.org/project/mmocr,2022-05-05 14:21:18.000,3.0,9322.0,9322.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +420,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,,964.0,283.0,226.0,12.0,356.0,3868.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,27,False,2022-04-21 20:41:22.000,2.2.5,32.0,tensorflowonspark,conda-forge/tensorflowonspark,,,"['tensorflow', 'spark']",5.0,,https://pypi.org/project/tensorflowonspark,2022-04-21 20:05:56.000,5.0,798581.0,798986.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,21512.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +421,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2024-05-08 10:57:30.000000,2024-02-22 12:17:17,1487.0,2.0,243.0,19.0,1742.0,287.0,726.0,3381.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,53.0,27,False,2024-01-31 13:08:55.000,0.18.1,60.0,deepchecks,,,,,377.0,370.0,https://pypi.org/project/deepchecks,2024-01-31 13:08:49.000,7.0,59108.0,59134.0,,,,,,,,2.0,831.0,,,,,,,,,,,,,,,,,,, +422,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2024-04-09 15:08:12.000000,2024-04-09 15:08:11,2114.0,6.0,538.0,144.0,239.0,39.0,634.0,3284.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,85.0,27,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,,['tensorflow'],446.0,444.0,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,2.0,939.0,939.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +423,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2024-04-24 18:10:14.000000,2023-09-10 15:15:16,1059.0,,237.0,62.0,113.0,8.0,272.0,3212.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,27,True,2023-09-10 19:39:46.000,0.3.2,22.0,vidgear,,,,,544.0,535.0,https://pypi.org/project/vidgear,2023-09-10 19:39:46.000,9.0,16767.0,16787.0,,,,,,,,3.0,1264.0,,,,,,,,,,,,,,,,,,, +424,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,,363.0,81.0,63.0,154.0,189.0,3184.0,a library for audio and music analysis.,25.0,27,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,474.0,458.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,16.0,4730.0,12260.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,647582.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +425,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2024-04-30 02:18:21.000000,2024-04-30 02:18:03,1631.0,122.0,626.0,43.0,28.0,3.0,465.0,2976.0,[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction.,31.0,27,True,2023-09-21 04:12:03.000,2.2.7,111.0,deepke,,,,['pytorch'],21.0,21.0,https://pypi.org/project/deepke,2023-09-21 04:12:03.000,,722.0,722.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +426,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2024-04-27 07:02:54.000000,2022-09-28 17:12:28,249.0,,308.0,29.0,321.0,77.0,38.0,2697.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,17.0,27,False,2022-09-28 08:51:19.531,0.2.12,12.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],924.0,923.0,https://pypi.org/project/lazypredict,2022-09-28 08:51:19.531,1.0,18824.0,18912.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,2911.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +427,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,,329.0,77.0,55.0,161.0,68.0,2266.0,Multilingual text (NLP) processing toolkit.,26.0,27,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,1292.0,1243.0,https://pypi.org/project/polyglot,2021-12-15 16:11:38.716,49.0,66960.0,66960.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +428,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2024-03-06 06:56:13.000000,2024-03-06 06:55:14,388.0,3.0,285.0,56.0,14.0,22.0,79.0,2204.0,Beautiful visualizations of how language differs among document types.,14.0,27,True,2024-03-06 06:56:13.000,0.2.1,150.0,scattertext,conda-forge/scattertext,,,,550.0,545.0,https://pypi.org/project/scattertext,2024-03-06 06:56:13.000,5.0,14833.0,15918.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,87944.0,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,, +429,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,,255.0,89.0,124.0,33.0,230.0,2177.0,"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,,,,1837.0,1771.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,66.0,46554.0,48236.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,141332.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +430,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,,317.0,64.0,38.0,97.0,160.0,2169.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,False,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],358.0,352.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,6.0,11214.0,11214.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +431,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2024-04-08 21:03:52.579000,2021-07-16 09:03:20,66.0,,463.0,38.0,43.0,64.0,58.0,2061.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,27,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],2104.0,2090.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,94022.0,98317.0,https://anaconda.org/anaconda/efficientnet,2024-04-08 21:03:52.579,494.0,,,,,3.0,257099.0,,,,,,,,,,,,,,,,,,, +432,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2024-05-03 16:38:58.000000,2024-04-04 12:44:05,521.0,2.0,401.0,85.0,104.0,79.0,259.0,2035.0,bt - flexible backtesting for Python.,32.0,27,True,2023-11-20 03:03:12.000,1.0.0,26.0,bt,conda-forge/bt,,,,1613.0,1603.0,https://pypi.org/project/bt,2023-11-20 03:03:12.000,10.0,7225.0,7842.0,https://anaconda.org/conda-forge/bt,2023-11-20 16:37:06.276,22839.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +433,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2024-03-19 21:59:57.000000,2024-03-19 21:59:57,1652.0,16.0,160.0,61.0,68.0,65.0,130.0,1802.0,A Python toolbox for gaining geometric insights into high-dimensional data.,22.0,27,True,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,408.0,406.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,2.0,946.0,946.0,,,,,,,,3.0,32.0,,,,,,,,,,,,,,,,,,, +434,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,,213.0,36.0,1081.0,25.0,496.0,1731.0,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'],279.0,274.0,https://pypi.org/project/lightning-flash,2022-05-11 18:17:54.000,5.0,2950.0,3497.0,https://anaconda.org/conda-forge/lightning-flash,2023-07-04 02:12:18.993,18053.0,,,,,2.0,,,,Lightning-Universe/lightning-flash,,,,,,,,,,,,,,,, +435,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2024-04-22 10:30:49.000000,2024-04-22 10:30:48,671.0,33.0,269.0,27.0,187.0,10.0,390.0,1617.0,Hyperparameter Experiments with TensorFlow and Keras.,23.0,27,True,2024-04-21 09:02:06.000,1.4,18.0,talos,,,,['tensorflow'],182.0,174.0,https://pypi.org/project/talos,2024-04-21 09:02:29.000,8.0,1771.0,1771.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +436,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2024-05-09 14:24:37.000000,2024-05-09 13:05:24,6399.0,114.0,288.0,47.0,2708.0,311.0,1424.0,1579.0,cuGraph - RAPIDS Graph Analytics Library.,113.0,27,True,2024-04-10 21:01:45.000,24.04.00,35.0,cugraph,conda-forge/libcugraph,,,,6.0,2.0,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,4.0,237.0,741.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,18675.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +437,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.,27.0,27,False,2024-01-05 03:23:07.000,5.2.1,42.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",75.0,75.0,https://pypi.org/project/elephas,2024-01-05 03:23:07.000,,40320.0,40560.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,13730.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +438,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2024-05-04 17:17:57.000000,2024-05-04 16:48:06,2829.0,13.0,175.0,25.0,669.0,118.0,444.0,1534.0,A Python library for learning and evaluating knowledge graph embeddings.,38.0,27,True,2024-02-19 21:29:27.000,1.10.2,47.0,pykeen,,,,,6.0,,https://pypi.org/project/pykeen,2024-02-19 21:25:43.000,6.0,4663.0,4666.0,,,,,,,,2.0,177.0,,,,,,,,,,,,,,,,,,, +439,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,,312.0,73.0,742.0,58.0,168.0,1478.0,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,,,,,398.0,396.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,2.0,1946.0,1946.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +440,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2024-05-05 21:11:03.000000,2024-05-05 21:11:00,676.0,9.0,167.0,48.0,162.0,19.0,382.0,1329.0,moDel Agnostic Language for Exploration and eXplanation.,25.0,27,False,2024-02-28 20:54:37.000,1.7.0,27.0,dalex,conda-forge/dalex,,,,168.0,163.0,https://pypi.org/project/dalex,2024-02-28 20:54:37.000,5.0,17648.0,17963.0,https://anaconda.org/conda-forge/dalex,2024-02-29 10:49:59.696,12624.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +441,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2024-04-22 13:41:28.000000,2024-04-22 13:41:26,1044.0,29.0,113.0,23.0,115.0,32.0,52.0,1293.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",23.0,27,True,2024-03-12 03:37:43.000,1.4.3,46.0,imodels,,,,,79.0,72.0,https://pypi.org/project/imodels,2024-03-11 20:28:16.000,7.0,48210.0,48210.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +442,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2024-01-31 21:10:59.000000,2020-10-14 13:22:39,167.0,,345.0,71.0,87.0,27.0,26.0,1228.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,23.0,27,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1419.0,1367.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,52.0,26405.0,26759.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,26617.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +443,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2024-02-25 11:40:08.000000,2024-02-08 16:58:25,2080.0,,249.0,41.0,39.0,68.0,591.0,1144.0,"pyclustering is a Python, C++ data mining library.",26.0,27,True,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,691.0,662.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,29.0,47777.0,49163.0,https://anaconda.org/conda-forge/pyclustering,2023-11-16 19:00:50.847,63542.0,,,,,3.0,511.0,,,,,,,,,,,,,,,,,,, +444,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2024-05-09 04:02:12.000000,2024-05-03 23:42:39,1985.0,68.0,364.0,54.0,511.0,156.0,253.0,1116.0,Machine learning on FPGAs using HLS.,60.0,27,True,2023-12-19 21:00:58.000,0.8.1,16.0,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",,,https://pypi.org/project/hls4ml,2023-12-19 21:00:58.000,,1104.0,1274.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,7494.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +445,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 10:51:56.000,2024-03-29 13:25:52.761000,2024-03-27 08:01:51,780.0,3.0,62.0,13.0,127.0,46.0,115.0,951.0,Visualize large time series data with plotly.py.,12.0,27,True,2024-03-27 07:58:10.000,0.10.0,62.0,plotly-resampler,conda-forge/plotly-resampler,,,,1092.0,1070.0,https://pypi.org/project/plotly-resampler,2024-03-27 07:54:02.000,22.0,441540.0,442941.0,https://anaconda.org/conda-forge/plotly-resampler,2024-03-29 13:25:52.761,39246.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +446,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,,185.0,40.0,173.0,65.0,174.0,925.0,A Jupyter - Three.js bridge.,30.0,27,False,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],125.0,30.0,https://pypi.org/project/pythreejs,2023-02-20 00:24:01.104,81.0,77073.0,85372.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,534613.0,,,,,3.0,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2023-02-20 00:16:17.277,14.0,2731.0,,,,,,,,,,, +447,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 13:05:44.000,2024-02-01 04:40:03.000000,2023-04-19 21:43:19,547.0,,174.0,33.0,86.0,88.0,122.0,906.0,A scikit-learn based module for multi-label et. al. classification.,28.0,27,False,2018-12-10 16:24:47.000,0.2.0,7.0,scikit-multilearn,,,,['sklearn'],1592.0,1570.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,22.0,89351.0,89351.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +448,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2024-05-09 07:59:27.000000,2024-05-01 00:09:23,16580.0,11.0,367.0,44.0,1620.0,309.0,2961.0,860.0,An open-source application for biological image analysis.,143.0,27,True,2023-08-14 19:59:48.000,4.2.6,48.0,cellprofiler,,,,,22.0,20.0,https://pypi.org/project/cellprofiler,2023-08-14 19:14:28.000,2.0,637.0,692.0,,,,,,,,3.0,6827.0,,,,,,,,,,,,,,,,,,, +449,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2024-04-25 20:33:29.000000,2024-04-25 20:33:29,602.0,35.0,162.0,32.0,193.0,4.0,100.0,589.0,Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python.,32.0,27,True,2024-04-10 11:45:27.000,0.6,12.0,pyriemann,conda-forge/pyriemann,,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],360.0,334.0,https://pypi.org/project/pyriemann,2024-04-10 11:46:01.000,26.0,45114.0,45358.0,https://anaconda.org/conda-forge/pyriemann,2024-04-10 14:21:44.720,5620.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +450,quinn,MrPowers/quinn,ml-experiments,,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000,2024-05-07 09:34:12.000000,2024-05-07 09:33:03,327.0,33.0,90.0,19.0,117.0,36.0,80.0,581.0,pyspark methods to enhance developer productivity.,28.0,27,True,2024-02-13 12:31:37.000,0.10.3,16.0,quinn,,,,['spark'],83.0,76.0,https://pypi.org/project/quinn,2024-02-13 12:31:37.000,7.0,782769.0,782769.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,,, +451,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2024-04-24 18:16:33.000000,2023-08-23 17:20:54,1241.0,,154.0,19.0,717.0,26.0,208.0,478.0,A package built to support working with spatial data using open source python.,44.0,27,True,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,336.0,319.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,7687.0,8920.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,75267.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +452,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,,1203.0,184.0,213.0,25.0,534.0,8846.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,26,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,21.0,21.0,,,,,250.0,,,,,,,,3.0,10022.0,,,,,,,,,,,,,,,,,,, +453,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,,595.0,140.0,31.0,70.0,55.0,5542.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,26,False,,,18.0,flashtext,conda-forge/flashtext,,,,1673.0,1624.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,49.0,1673294.0,1673699.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,18672.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +454,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2024-03-22 00:24:33.000000,2024-03-22 00:17:00,218.0,3.0,295.0,71.0,179.0,24.0,54.0,4904.0,"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,,,,,118.0,114.0,https://pypi.org/project/augly,2023-12-05 20:52:12.000,4.0,2452.0,2452.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +455,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2024-03-20 17:23:36.000000,2023-10-12 08:57:51,209.0,,309.0,85.0,95.0,48.0,32.0,3485.0,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,,,,86.0,76.0,https://pypi.org/project/chartify,2023-10-12 09:02:25.000,10.0,20251.0,20706.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,30075.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +456,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2024-03-03 01:58:14.000000,2024-03-03 01:31:19,180.0,1.0,392.0,161.0,84.0,102.0,101.0,3191.0,A deep learning library for video understanding research.,55.0,26,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],23.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,23.0,83982.0,83982.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +457,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2024-02-12 06:44:22.000000,2020-04-27 18:40:41,522.0,,1020.0,166.0,215.0,43.0,146.0,3102.0,Performance analysis of predictive (alpha) stock factors.,26.0,26,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,691.0,686.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,5.0,1494.0,1769.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,20673.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +458,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2024-03-19 19:20:10.000000,2024-03-18 19:51:35,2374.0,14.0,686.0,159.0,61.0,8.0,748.0,3084.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,30.0,26,True,2024-03-19 19:20:10.000,1.6.1,21.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,907.0,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,64368.0,,,,,3.0,4712.0,,,,,,,,,,,,,,,,,,, +459,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,,1050.0,217.0,3649.0,429.0,1111.0,3010.0,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,shogun/shogun,,,,,,,,,1609.0,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,131209.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1507.0,3.0,,,,,,,,,,shogun,,,,,,,,,, +460,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,,264.0,52.0,19.0,36.0,97.0,2840.0,"Visualize and compare datasets, target values and associations, with one line of code.",11.0,26,True,2023-11-29 13:30:45.000,2.3.1,35.0,sweetviz,conda-forge/sweetviz,,,,2214.0,2194.0,https://pypi.org/project/sweetviz,2023-11-29 13:27:52.000,20.0,67932.0,68671.0,https://anaconda.org/conda-forge/sweetviz,2023-12-04 12:10:57.449,28821.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +461,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,,329.0,67.0,167.0,164.0,113.0,2728.0,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,,,,57.0,,https://pypi.org/project/eli5,2022-05-11 09:37:12.000,57.0,385602.0,387397.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,150801.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +462,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 12:09:24.000,2024-03-14 19:50:06.000000,2024-03-14 19:50:06,769.0,1.0,689.0,179.0,75.0,23.0,565.0,2688.0,Python sync/async framework for Interactive Brokers API.,36.0,26,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,28.0,,https://pypi.org/project/ib_insync,2022-11-21 09:32:01.715,28.0,30743.0,31432.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,39991.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +463,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,,217.0,66.0,42.0,16.0,24.0,2683.0,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,,,,977.0,972.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,67321.0,67586.0,https://anaconda.org/conda-forge/knockknock,2023-06-16 16:18:44.705,14612.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +464,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2024-02-01 01:44:20.000000,2023-12-11 13:43:52,1053.0,,443.0,126.0,143.0,192.0,247.0,2605.0,PYthon svg GrAph plotting Library.,77.0,26,False,2023-11-21 15:34:11.000,3.0.4,80.0,pygal,conda-forge/pygal,,,,96.0,,https://pypi.org/project/pygal,2023-11-21 15:34:11.000,96.0,305831.0,308327.0,https://anaconda.org/conda-forge/pygal,2023-11-21 17:04:08.093,39950.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +465,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,,719.0,167.0,94.0,136.0,358.0,2458.0,An Algorithmic Trading Library for Crypto-Assets in Python.,152.0,26,False,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,27.0,25.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,182.0,182.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +466,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2024-04-10 16:58:39.000000,2024-01-30 18:07:43,695.0,,231.0,35.0,147.0,17.0,143.0,2302.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,31.0,26,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,,183.0,179.0,https://pypi.org/project/norfair,2022-05-30 21:14:58.000,4.0,16111.0,16117.0,,,,,,,,3.0,303.0,,,,,,,,,,,,,,,,,,, +467,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 16:48:48.000,2024-03-01 17:17:03.000000,2024-03-01 17:16:56,650.0,3.0,236.0,64.0,31.0,60.0,94.0,2227.0,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,,,,,101.0,100.0,https://pypi.org/project/neural-tangents,2023-12-11 14:00:20.000,1.0,2902.0,2910.0,,,,,,,,3.0,380.0,,,,,,,,,,,,,,,,,,, +468,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2024-05-09 14:49:10.000000,2023-06-01 12:18:23,739.0,,313.0,42.0,44.0,99.0,56.0,2146.0,A modular active learning framework for Python.,20.0,26,True,2024-05-09 14:49:10.000,0.62.153,936.0,modAL,,,,['sklearn'],25.0,,https://pypi.org/project/modAL,2024-05-09 14:49:10.000,25.0,264784.0,264784.0,,,,,,,,3.0,34.0,,,,,,,,,,,,,,,,,,, +469,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2024-02-21 23:17:37.000000,2024-02-21 23:13:33,479.0,8.0,385.0,63.0,153.0,7.0,92.0,2104.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,26,True,2024-02-21 23:17:37.000,3.3.0,22.0,pytextrank,,,,,656.0,639.0,https://pypi.org/project/pytextrank,2024-02-21 23:17:37.000,17.0,42184.0,42184.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +470,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2024-04-26 19:41:05.000000,2024-04-26 19:41:00,868.0,9.0,446.0,59.0,332.0,113.0,92.0,1875.0,Library for training machine learning models with privacy for training data.,58.0,26,True,2024-02-14 19:18:00.000,0.9.0,31.0,tensorflow-privacy,,,,['tensorflow'],15.0,,https://pypi.org/project/tensorflow-privacy,2024-02-14 19:08:50.000,15.0,20728.0,20730.0,,,,,,,,3.0,153.0,,,,,,,,,,,,,,,,,,, +471,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-05-06 20:43:34.000000,2024-03-31 23:27:50,918.0,26.0,135.0,33.0,441.0,50.0,353.0,1808.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,26,True,2024-04-01 00:44:51.000,1.1.4.9,36.0,orbit-ml,,,,,55.0,54.0,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,21576.0,21576.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +472,uber/orbit,uber/orbit,time-series-data,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-05-06 20:43:34.000000,2024-03-31 23:27:50,918.0,26.0,135.0,33.0,441.0,50.0,353.0,1808.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,26,True,2024-04-01 00:44:51.000,1.1.4.9,36.0,orbit-ml,conda-forge/orbit-ml,,,,55.0,54.0,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,21576.0,21807.0,https://anaconda.org/conda-forge/orbit-ml,2024-04-01 02:54:47.033,6490.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +473,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,,276.0,40.0,495.0,172.0,151.0,1754.0,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,,,,,173.0,165.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,8.0,36857.0,36863.0,,,,,,,,3.0,457.0,,,,,,,,,,,,,,,,,,, +474,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,,159.0,25.0,81.0,43.0,35.0,1707.0,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,,,,613.0,594.0,https://pypi.org/project/pyts,2021-10-31 13:51:09.000,19.0,114128.0,114881.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,23350.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +475,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2024-05-08 19:55:30.000000,2024-05-08 19:51:46,920.0,110.0,258.0,46.0,758.0,59.0,64.0,1629.0,A lightweight library for PyTorch training tools and utilities.,126.0,26,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,,['pytorch'],38.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,38.0,6753.0,6753.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +476,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,,309.0,27.0,379.0,56.0,155.0,1559.0,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'],56.0,55.0,https://pypi.org/project/pgl,2023-09-26 07:49:38.000,1.0,1368.0,1368.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +477,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2024-04-30 13:26:27.000000,2023-06-07 07:35:59,3033.0,,119.0,36.0,337.0,11.0,187.0,1431.0,Multi-class confusion matrix library in Python.,17.0,26,True,2023-06-07 14:06:28.000,4.0,44.0,pycm,,,,,314.0,296.0,https://pypi.org/project/pycm,2023-06-07 14:08:01.991,18.0,46731.0,46731.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +478,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,,231.0,46.0,184.0,53.0,120.0,1376.0,Metric learning algorithms in Python.,22.0,26,True,2023-10-09 04:53:59.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],379.0,372.0,https://pypi.org/project/metric-learn,2023-10-09 04:53:59.000,7.0,16642.0,16891.0,https://anaconda.org/conda-forge/metric-learn,2023-10-09 05:53:11.819,11474.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +479,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2024-05-08 07:55:00.000000,2024-05-08 07:54:56,689.0,5.0,155.0,22.0,125.0,4.0,128.0,1362.0,"Extensible, parallel implementations of t-SNE.",11.0,26,True,2023-11-29 14:50:50.000,1.0.1,27.0,opentsne,conda-forge/opentsne,,,,813.0,789.0,https://pypi.org/project/opentsne,2023-11-29 14:45:37.000,24.0,28901.0,34358.0,https://anaconda.org/conda-forge/opentsne,2023-11-29 23:41:32.898,245585.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +480,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,,270.0,76.0,481.0,49.0,198.0,1316.0,Underthesea - Vietnamese NLP Toolkit.,18.0,26,False,2023-09-22 23:57:31.000,6.8.0,125.0,underthesea,,,,,1035.0,1024.0,https://pypi.org/project/underthesea,2023-09-22 23:50:49.000,11.0,16791.0,16865.0,,,,,,,,3.0,6243.0,,,,,,,,,,,,,,,,,,, +481,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,,196.0,43.0,257.0,66.0,212.0,1242.0,Python audio and music signal processing library.,20.0,26,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,447.0,420.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,27.0,1862.0,1862.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +482,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,,174.0,26.0,36.0,1.0,116.0,1237.0,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'],1604.0,1583.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,21.0,53094.0,53094.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +483,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,,144.0,35.0,214.0,117.0,152.0,1222.0,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,,,,518.0,463.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,55.0,31645.0,42235.0,https://anaconda.org/conda-forge/streamz,2023-06-16 13:22:22.238,847249.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +484,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2024-04-16 18:02:40.000000,2024-04-16 18:02:40,396.0,2.0,177.0,26.0,32.0,4.0,129.0,1192.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,26,True,2023-10-11 22:35:06.000,0.13.0,59.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],542.0,528.0,https://pypi.org/project/prince,2023-10-11 22:35:06.000,14.0,92090.0,92427.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,18245.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +485,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,,84.0,34.0,109.0,7.0,18.0,1189.0,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'],237.0,226.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,11.0,2398414.0,2398414.0,,,,,,,,3.0,,,,google-deepmind/rlax,,,,,,,,,,,,,,,, +486,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,,112.0,21.0,103.0,43.0,74.0,1128.0,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,,,,2610.0,2571.0,https://pypi.org/project/submitit,2023-11-09 17:23:02.000,39.0,329219.0,330012.0,https://anaconda.org/conda-forge/submitit,2023-11-24 07:58:55.401,35717.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +487,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2024-05-09 00:03:39.000000,2024-05-09 00:02:48,2354.0,303.0,88.0,19.0,891.0,83.0,211.0,1079.0,"MetricFlow allows you to define, build, and maintain metrics in code.",44.0,26,False,2024-03-02 00:18:17.000,0.205.0,84.0,metricflow,,,,,26.0,23.0,https://pypi.org/project/metricflow,2024-04-04 05:32:07.000,3.0,18415.0,18415.0,,,,,,,,3.0,,,,dbt-labs/metricflow,,,,,,,,,,,,,,,, +488,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2024-05-02 01:46:57.000000,2024-05-02 01:45:39,808.0,10.0,116.0,31.0,412.0,71.0,324.0,1017.0,BAyesian Model-Building Interface (Bambi) in Python.,37.0,26,True,2023-10-25 02:06:14.000,0.13.0,28.0,bambi,conda-forge/bambi,,,,129.0,119.0,https://pypi.org/project/bambi,2023-10-25 02:06:14.000,10.0,21171.0,21913.0,https://anaconda.org/conda-forge/bambi,2023-10-27 17:16:55.433,30425.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +489,tinytag,devsnd/tinytag,audio,,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000,2024-05-05 08:49:40.000000,2024-05-05 08:48:44,545.0,85.0,101.0,24.0,97.0,15.0,105.0,667.0,"Python library for reading audio file metadata, duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave, AIFF and a few..",26.0,26,True,2023-10-26 19:30:36.000,1.10.1,41.0,tinytag,,,,,102.0,,https://pypi.org/project/tinytag,2023-10-26 19:30:36.000,102.0,28108.0,28108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +490,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2024-04-26 16:22:39.000000,2024-04-10 14:03:58,910.0,23.0,106.0,43.0,112.0,56.0,46.0,634.0,Bias Auditing & Fair ML Toolkit.,21.0,26,True,2024-01-30 12:03:19.000,1.0.0,18.0,aequitas,,,,,161.0,154.0,https://pypi.org/project/aequitas,2024-01-30 12:03:19.000,7.0,31708.0,31708.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +491,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 21:02:09.000,2024-04-26 20:02:09.000000,2024-04-26 20:02:08,844.0,9.0,133.0,29.0,89.0,40.0,75.0,597.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,19.0,26,True,2024-04-23 05:17:11.000,1.15.0,43.0,ml-metadata,,,,,475.0,444.0,https://pypi.org/project/ml-metadata,2024-04-23 05:17:11.000,31.0,74697.0,74732.0,,,,,,,,3.0,2188.0,,,,,,,,,,,,,,,,,,, +492,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,,214.0,22.0,17.0,46.0,23.0,424.0,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'],7693.0,7563.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000,130.0,223922.0,224739.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,40072.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +493,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2024-02-01 02:29:47.000000,2024-02-01 02:29:37,1618.0,,808.0,146.0,1563.0,114.0,125.0,7963.0,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,,,,,152.0,151.0,https://pypi.org/project/trax,2021-10-26 20:29:00.538,1.0,3962.0,3962.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +494,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,,800.0,168.0,1588.0,145.0,74.0,6349.0,A natural language modeling framework based on PyTorch.,234.0,25,False,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,1.0,158.0,163.0,,,,,,,,3.0,358.0,,,,,,,,,,,,,,,,,,, +495,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,,979.0,182.0,327.0,334.0,292.0,5782.0,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,,,,,129.0,126.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,3.0,355.0,402.0,,,,,,,,2.0,3734.0,,,,,,,,,,,,,,,,,,, +496,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2024-04-27 19:15:19.000000,2023-04-28 16:55:30,521.0,,444.0,62.0,93.0,36.0,88.0,4963.0,Finding duplicate images made easy!.,15.0,25,False,2023-04-28 17:29:01.612,0.3.2,12.0,imagededup,,,,['tensorflow'],115.0,110.0,https://pypi.org/project/imagededup,2023-04-28 17:29:01.612,5.0,19066.0,19066.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +497,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2024-04-26 02:38:27.000000,2023-11-19 13:26:15,334.0,,954.0,45.0,34.0,65.0,112.0,4962.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",20.0,25,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,,['sklearn'],205.0,196.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,9.0,3512.0,3512.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +498,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2024-05-09 14:23:23.000000,2024-05-09 12:31:41,3550.0,115.0,603.0,93.0,3904.0,213.0,1372.0,4925.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,91.0,25,True,2024-05-07 16:55:22.000,1.37.1,78.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +499,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,,982.0,239.0,215.0,51.0,200.0,4387.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,25,False,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,54.0,53.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,722.0,814.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,3405.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +500,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,,425.0,42.0,52.0,77.0,174.0,4166.0,An Open-Source Framework for Prompt-Learning.,22.0,25,True,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,122.0,120.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,2.0,1149.0,1149.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +501,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,,511.0,135.0,649.0,65.0,198.0,3868.0,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,,,,,13.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,13.0,3073.0,3073.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +502,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2024-05-07 11:36:17.000000,2024-04-30 02:48:23,2762.0,57.0,1207.0,135.0,1070.0,52.0,75.0,3311.0,a distributed deep learning platform.,90.0,25,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,3.0,3.0,,,,,68.0,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,742.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,6557.0,3.0,,,,,,,,,,,,,,,,,,,, +503,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2024-04-19 22:27:39.000000,2024-03-08 19:28:28,465.0,7.0,271.0,50.0,458.0,59.0,256.0,3305.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,40.0,25,True,2024-03-08 20:24:53.000,0.4.11,24.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,4.0,,https://pypi.org/project/hummingbird-ml,2024-03-08 20:21:40.000,4.0,6143.0,7192.0,https://anaconda.org/conda-forge/hummingbird-ml,2024-03-08 22:15:29.532,39527.0,,,,,2.0,446.0,,,,,,,,,,,,,,,,,,, +504,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2024-05-07 06:18:57.000000,2024-05-07 06:18:34,512.0,4.0,811.0,62.0,638.0,133.0,396.0,3194.0,A high-performance distributed training framework for Reinforcement Learning.,44.0,25,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],125.0,124.0,https://pypi.org/project/parl,2022-05-13 04:46:41.000,1.0,822.0,822.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +505,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2024-04-22 17:11:22.000000,2024-03-30 09:25:51,4343.0,19.0,582.0,40.0,1002.0,251.0,692.0,3191.0,"A unified, comprehensive and efficient recommendation library.",71.0,25,True,2023-11-04 11:23:19.000,1.2.0,10.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2023-10-31 12:52:34.000,2.0,4327.0,4439.0,https://anaconda.org/aibox/recbole,2023-11-01 15:53:42.380,4745.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +506,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2024-01-20 00:01:11.000000,2024-01-20 00:01:11,1576.0,,246.0,29.0,2015.0,3.0,652.0,3010.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,35.0,25,True,2023-12-05 02:33:36.000,1.1.3,26.0,towhee,,,,,,,https://pypi.org/project/towhee,2023-12-04 07:25:10.000,,8853.0,8944.0,,,,,,,,3.0,2643.0,,,,,,,,,,,,,,,,,,, +507,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.,10.0,25,False,2017-07-06 05:11:22.255,0.4.1,11.0,keras-vis,,,,['tensorflow'],2919.0,2918.0,https://pypi.org/project/keras-vis,2017-07-06 05:11:22.255,1.0,1721.0,1721.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +508,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,,470.0,98.0,49.0,59.0,253.0,2810.0,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,,,,722.0,698.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,24.0,3540.0,3855.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,15511.0,,,,,3.0,983.0,,,,,,,,,,,,,,,,,,, +509,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2024-04-22 23:07:16.000000,2023-06-30 21:16:10,470.0,,322.0,64.0,317.0,47.0,124.0,2780.0,DDSP: Differentiable Digital Signal Processing.,32.0,25,True,2023-05-25 02:30:41.654,3.7.0,55.0,ddsp,conda-forge/ddsp,,,['tensorflow'],55.0,54.0,https://pypi.org/project/ddsp,2022-05-25 17:42:19.000,1.0,2119.0,2440.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,15116.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +510,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2024-05-06 14:31:47.000000,2024-05-06 14:20:38,944.0,6.0,173.0,20.0,78.0,94.0,174.0,2749.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,31.0,25,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,45.0,44.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,1.0,1656.0,1656.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +511,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,,228.0,50.0,481.0,45.0,70.0,2718.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,25,False,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,225.0,222.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,20060.0,20061.0,,,,,,,,2.0,68.0,,,,,,,,,,,,,,,,,,, +512,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 01:11:33.000,2024-04-15 21:12:13.000000,2023-07-01 21:40:58,1936.0,,347.0,40.0,89.0,28.0,158.0,2501.0,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'],3.0,,https://pypi.org/project/torch-geometric-temporal,2022-09-04 16:10:00.738,3.0,2126.0,2126.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +513,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2024-02-10 12:55:47.000000,2023-07-23 14:42:27,191.0,,463.0,38.0,239.0,52.0,280.0,2488.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,25,True,2023-07-23 13:34:05.000,4.1.0,19.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],11.0,,https://pypi.org/project/pytorch-tabnet,2023-07-23 13:26:57.000,11.0,34884.0,35109.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-12-20 04:10:30.919,6534.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +514,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,,253.0,56.0,56.0,19.0,50.0,2205.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,25,True,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],695.0,676.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,19.0,8871.0,8871.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +515,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2024-05-07 23:16:28.000000,2024-02-10 10:17:50,226.0,8.0,252.0,48.0,94.0,20.0,115.0,2150.0,A Python library that helps data scientists to infer causation rather than observing correlation.,40.0,25,True,2023-06-22 13:11:59.629,0.12.1,20.0,causalnex,,,,"['pytorch', 'sklearn']",115.0,111.0,https://pypi.org/project/causalnex,2023-06-22 13:11:59.629,4.0,2957.0,2957.0,,,,,,,,3.0,,,,mckinsey/causalnex,,,,,,,,,,,,,,,, +516,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,,85.0,41.0,47.0,12.0,75.0,2096.0,The friendly PIL fork.,385.0,25,False,,,47.0,pillow-simd,,,,,60.0,,https://pypi.org/project/pillow-simd,2022-01-04 16:11:51.000,60.0,42054.0,42054.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +517,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2024-03-05 11:46:16.000000,2024-03-05 11:46:12,2314.0,12.0,236.0,37.0,38.0,13.0,114.0,2089.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,20.0,25,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,238.0,232.0,https://pypi.org/project/karateclub,2022-10-22 16:17:27.886,6.0,4228.0,4726.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,22912.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +518,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,,302.0,57.0,1313.0,233.0,810.0,1817.0,A toolkit for reproducible reinforcement learning research.,79.0,25,False,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],104.0,102.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,2.0,740.0,740.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +519,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2024-03-24 14:27:59.853000,2022-12-07 10:32:49,237.0,,293.0,1.0,1.0,1.0,,1703.0,Feature engineering package with sklearn like functionality.,38.0,25,False,2024-03-24 13:29:41.000,1.7.0,39.0,feature_engine,conda-forge/feature_engine,,,,103.0,,https://pypi.org/project/feature_engine,2024-03-24 13:29:41.000,103.0,138212.0,139260.0,https://anaconda.org/conda-forge/feature_engine,2024-03-24 14:27:59.853,47184.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +520,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2024-03-17 06:23:46.000000,2023-04-20 14:53:46,460.0,,238.0,49.0,49.0,23.0,91.0,1597.0,Contextually-keyed word vectors.,19.0,25,False,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,376.0,363.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,13.0,2795.0,4783.0,https://anaconda.org/conda-forge/sense2vec,2023-09-22 07:25:32.800,37277.0,,,,,3.0,65118.0,,,,,,,,,,,,,,,,,,, +521,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,,205.0,44.0,12.0,4.0,51.0,1564.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,25,False,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],232.0,230.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,2.0,210300.0,210300.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +522,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,,268.0,49.0,87.0,22.0,191.0,1541.0,"Genetic Programming in Python, with a scikit-learn inspired API.",11.0,25,True,2022-05-03 10:56:08.000,0.4.2,7.0,gplearn,conda-forge/gplearn,,,['sklearn'],573.0,556.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,17.0,6678.0,6823.0,https://anaconda.org/conda-forge/gplearn,2023-06-16 19:20:25.471,6820.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +523,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,,567.0,108.0,283.0,16.0,300.0,1511.0,Execute Python code on the fly and display results in Tableau visualizations:.,50.0,25,True,2023-06-28 20:49:21.000,2.9.0,31.0,tabpy,anaconda/tabpy-client,,,,162.0,160.0,https://pypi.org/project/tabpy,2023-01-30 23:34:02.112,2.0,7497.0,7549.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4489.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +524,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2024-04-29 11:27:34.000000,2024-04-29 11:27:33,1033.0,2.0,174.0,17.0,69.0,30.0,341.0,1479.0,PyTorch Extension Library of Optimized Scatter Operations.,29.0,25,True,2023-10-06 08:49:07.000,2.1.2,32.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],128.0,,https://pypi.org/project/torch-scatter,2023-10-06 08:49:07.000,128.0,39447.0,45210.0,https://anaconda.org/conda-forge/pytorch_scatter,2024-01-12 22:30:52.418,270875.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +525,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,,142.0,28.0,63.0,7.0,70.0,1289.0,"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'],1453.0,1440.0,https://pypi.org/project/livelossplot,2022-04-04 16:14:08.000,13.0,13596.0,13596.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +526,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,,296.0,55.0,63.0,16.0,109.0,1237.0,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,,,,,1050.0,1039.0,https://pypi.org/project/stockstats,2023-07-30 07:07:37.000,11.0,11203.0,11203.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +527,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,,191.0,48.0,61.0,1.0,68.0,976.0,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'],447.0,444.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,16735.0,16735.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +528,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2024-02-29 13:41:12.000000,2024-02-29 13:41:11,1144.0,2.0,236.0,61.0,246.0,22.0,367.0,957.0,Search and download Copernicus Sentinel satellite images.,44.0,25,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,,585.0,554.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,31.0,23630.0,24311.0,https://anaconda.org/conda-forge/sentinelsat,2023-06-16 19:22:55.678,29204.0,,,,,3.0,266.0,,,,,,,,,,,,,,,,,,, +529,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,,256.0,43.0,72.0,103.0,188.0,918.0,Gaussian Process Optimization using GPy.,50.0,25,False,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,546.0,509.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,37.0,5976.0,5976.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +530,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,,76.0,13.0,48.0,22.0,53.0,732.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,7.0,25,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,1905.0,1876.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,29.0,565655.0,565830.0,https://anaconda.org/conda-forge/pysbd,2023-06-16 19:27:37.870,5436.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +531,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,,103.0,15.0,193.0,117.0,136.0,663.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",33.0,25,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,,608.0,,https://pypi.org/project/soundfile,2023-02-15 15:39:00.786,608.0,3157500.0,3157649.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,3.0,18332.0,,,,,,,,,,,,,,,,,,, +532,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2024-04-28 16:46:16.622000,2024-04-28 11:15:50,477.0,6.0,50.0,8.0,59.0,172.0,237.0,590.0,python binding for libvips using cffi.,16.0,25,True,2024-04-28 11:19:58.000,2.2.3,26.0,pyvips,conda-forge/pyvips,,,,767.0,712.0,https://pypi.org/project/pyvips,2024-04-28 11:19:58.000,55.0,41614.0,43487.0,https://anaconda.org/conda-forge/pyvips,2024-04-28 16:46:16.622,80577.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +533,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2024-03-09 00:32:37.185000,2024-03-08 20:01:01,3751.0,27.0,69.0,47.0,355.0,21.0,395.0,552.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,37.0,25,False,2024-03-08 20:13:23.000,5.0.1,71.0,skll,conda-forge/skll,,,['sklearn'],43.0,41.0,https://pypi.org/project/skll,2024-03-08 20:01:40.000,2.0,471.0,933.0,https://anaconda.org/conda-forge/skll,2024-03-09 00:32:37.185,13879.0,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,, +534,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2024-04-10 07:37:43.190000,2022-01-15 18:08:37,1718.0,,67.0,15.0,13.0,35.0,7.0,534.0,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,,,,225.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,225.0,462760.0,469609.0,https://anaconda.org/conda-forge/whoosh,2024-04-10 07:37:43.190,246571.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +535,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2024-05-07 17:16:16.000000,2024-05-07 17:09:18,5652.0,59.0,92.0,15.0,755.0,16.0,438.0,427.0,Lightwood is Legos for Machine Learning.,46.0,25,False,2024-03-19 10:28:37.000,24.3.3.1,203.0,lightwood,,,,['pytorch'],62.0,60.0,https://pypi.org/project/lightwood,2024-03-19 10:24:49.000,2.0,7062.0,7062.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +536,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2024-02-19 07:00:31.744000,2024-02-18 18:51:38,532.0,11.0,39.0,5.0,15.0,6.0,48.0,323.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,14.0,25,True,2024-02-18 18:57:32.000,0.9.0,25.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],727.0,681.0,https://pypi.org/project/scikit-posthocs,2024-02-18 18:57:32.000,46.0,85011.0,106567.0,https://anaconda.org/conda-forge/scikit-posthocs,2024-02-19 07:00:31.744,926949.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,, +537,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2024-05-06 20:32:37.000000,2024-05-06 20:32:36,545.0,20.0,56.0,40.0,296.0,20.0,60.0,299.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",41.0,25,False,2024-04-23 07:31:20.000,1.3.0,77.0,gokart,,,,,82.0,77.0,https://pypi.org/project/gokart,2024-04-23 07:31:20.000,5.0,3511.0,3511.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +538,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2024-05-07 01:15:58.000000,2024-05-07 00:36:25,2639.0,100.0,59.0,8.0,251.0,44.0,84.0,257.0,Python recommendation toolkit.,14.0,25,False,2024-02-16 21:04:30.000,0.14.4,25.0,lenskit,conda-forge/lenskit,,,,107.0,101.0,https://pypi.org/project/lenskit,2024-02-16 21:03:49.000,6.0,2106.0,2737.0,https://anaconda.org/conda-forge/lenskit,2024-04-18 13:51:51.378,26543.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +539,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,,749.0,136.0,43.0,141.0,98.0,4943.0,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'],1129.0,1113.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,16.0,692.0,704.0,,,,,,,,3.0,910.0,,,,,,,,,,,,,,,,,,, +540,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,,1004.0,92.0,63.0,254.0,269.0,4620.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,24,False,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],28.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000,28.0,26443.0,26443.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +541,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 13:41:13.000,2024-03-12 11:21:52.000000,2021-06-02 09:45:13,150.0,,742.0,101.0,35.0,107.0,113.0,4510.0,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,,idealo/image-super-resolution-gpu,,['tensorflow'],129.0,124.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,5185.0,5188.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,235.0,3.0,,,,,,,,,,,,,,,,,,,, +542,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,,721.0,62.0,247.0,129.0,824.0,4052.0,"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,,,,,36.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:38:10.521,36.0,6788.0,6788.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +543,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,,917.0,177.0,385.0,33.0,430.0,3820.0,"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'],16.0,16.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +544,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2024-03-03 01:42:05.000000,2024-03-03 01:31:19,175.0,2.0,443.0,89.0,78.0,67.0,137.0,3352.0,Generate embeddings from large-scale graph-structured data.,32.0,24,True,2019-10-14 16:45:11.000,1.0.0,4.0,torchbiggraph,,,,['pytorch'],2.0,,https://pypi.org/project/torchbiggraph,2019-10-14 16:44:41.000,2.0,596602.0,596604.0,,,,,,,,2.0,180.0,,,,,,,,,,,,,,,,,,, +545,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,,528.0,110.0,73.0,193.0,117.0,3077.0,"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,,,,,142.0,130.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,927.0,988.0,,,,,,,,3.0,4580.0,,,,,,,,,,,,,,,,,,, +546,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,,137.0,28.0,200.0,20.0,73.0,2700.0,HiPlot makes understanding high dimensional data easy.,9.0,24,True,2022-05-31 09:00:35.000,0.1.33,113.0,hiplot,conda-forge/hiplot,,,,426.0,400.0,https://pypi.org/project/hiplot,2022-07-05 08:51:12.000,26.0,21309.0,24901.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,183231.0,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,, +547,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,,317.0,93.0,2157.0,206.0,982.0,2677.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",53.0,24,True,2023-02-03 19:04:11.785,0.8.1,118.0,pymars,,,,,1.0,,https://pypi.org/project/pymars,2022-06-12 11:43:21.000,1.0,18973.0,18973.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +548,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,,336.0,31.0,695.0,43.0,151.0,2514.0,"Toolkit for creating, sharing and using natural language prompts.",65.0,24,True,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,96.0,92.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,4.0,397.0,397.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +549,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,,645.0,89.0,29.0,25.0,52.0,2333.0,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,,,,,642.0,590.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,52.0,32350.0,32350.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +550,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2024-04-05 08:29:34.000000,2024-04-04 10:48:55,541.0,9.0,211.0,42.0,128.0,61.0,127.0,2184.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,28.0,24,True,2023-12-27 00:46:01.000,2023.12.27,773.0,kubric-nightly,,,,,3.0,3.0,https://pypi.org/project/kubric-nightly,2023-12-27 00:46:01.000,,6375.0,6375.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +551,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,,241.0,71.0,21.0,93.0,66.0,2089.0,Open source time series library for Python.,6.0,24,False,2017-11-21 16:27:06.000,0.4.16,36.0,pyflux,,,,,271.0,267.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,4.0,53468.0,53468.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +552,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,,669.0,82.0,48.0,24.0,64.0,2052.0,Common financial technical indicators implemented in Pandas.,28.0,24,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,511.0,499.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,8520.0,8520.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +553,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,,203.0,29.0,65.0,11.0,83.0,1986.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,24,True,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],347.0,339.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,8.0,1849.0,2024.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,7038.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +554,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 13:50:19.000,2024-03-29 21:12:28.000000,2023-12-04 14:09:45,571.0,,134.0,56.0,450.0,68.0,102.0,1842.0,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,,,,,111.0,101.0,https://pypi.org/project/hivemind,2023-08-31 20:07:10.000,10.0,4654.0,4654.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +555,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,,311.0,98.0,45.0,187.0,216.0,1638.0,[UNMAINTAINED] Automated machine learning for analytics & production.,14.0,24,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,11.0,2.0,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,9.0,1311.0,1311.0,,,,,,,,2.0,48.0,,,,,,,,,,,,,,,,,,, +556,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,,121.0,28.0,31.0,63.0,50.0,1572.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,24,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],442.0,435.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,7.0,133118.0,133118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +557,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2024-04-18 10:50:41.000000,2024-04-18 10:50:48,1196.0,10.0,116.0,26.0,68.0,4.0,29.0,1486.0,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,,https://pypi.org/project/pytorch_toolbelt,2022-06-27 19:59:57.000,7.0,8457.0,8457.0,,,,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,, +558,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2024-05-02 18:48:18.000000,2024-05-02 18:45:10,350.0,8.0,269.0,42.0,254.0,77.0,195.0,1466.0,A framework for Privacy Preserving Machine Learning.,35.0,24,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,,['pytorch'],36.0,35.0,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,1.0,342.0,342.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +559,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,,330.0,50.0,43.0,96.0,,1333.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,18.0,24,True,2023-11-06 16:35:44.000,0.9.3,33.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],475.0,467.0,https://pypi.org/project/keras-ocr,2023-11-06 16:35:44.000,8.0,30782.0,57586.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,312.0,,,,,3.0,1179110.0,,,,,,,,,,,,,,,,,,, +560,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,,235.0,35.0,68.0,57.0,206.0,1226.0,A toolbox to iNNvestigate neural networks predictions!.,20.0,24,True,2023-10-12 14:58:48.000,2.1.2,8.0,innvestigate,,,,['tensorflow'],128.0,126.0,https://pypi.org/project/innvestigate,2023-10-12 14:55:59.000,2.0,732.0,736.0,,,,,,,,3.0,101.0,,,,,,,,,,,,,,,,,,, +561,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,,205.0,54.0,460.0,143.0,293.0,1194.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,24,False,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,,['tensorflow'],75.0,66.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,738.0,738.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +562,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2024-05-05 07:26:14.000000,2024-05-05 07:26:07,87.0,9.0,227.0,20.0,20.0,5.0,87.0,1180.0,Implementation of the node2vec algorithm.,15.0,24,True,2022-08-01 11:35:00.616,0.4.6,18.0,node2vec,conda-forge/node2vec,,,,631.0,610.0,https://pypi.org/project/node2vec,2022-08-01 11:35:00.616,21.0,29986.0,30372.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,27863.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +563,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,,223.0,72.0,415.0,75.0,147.0,1156.0,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,,,,,171.0,166.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,5.0,601.0,601.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +564,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2024-04-13 14:07:28.000000,2019-08-16 09:00:15,140.0,,114.0,12.0,23.0,18.0,15.0,1075.0,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,,,,,5592.0,5189.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,403.0,434073.0,434073.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +565,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2024-05-07 11:56:42.000000,2024-02-13 12:59:29,2071.0,1.0,215.0,41.0,590.0,85.0,433.0,1010.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,41.0,24,False,2023-08-01 13:38:54.000,2.0.2,47.0,smac,conda-forge/smac,,,,33.0,,https://pypi.org/project/smac,2023-08-01 13:30:07.000,33.0,58026.0,58535.0,https://anaconda.org/conda-forge/smac,2023-08-11 21:35:06.370,19377.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +566,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,,174.0,48.0,112.0,53.0,170.0,969.0,Python interface to GPU-powered libraries.,44.0,24,True,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,316.0,293.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,23.0,937.0,937.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +567,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2024-04-29 15:05:23.000000,2024-04-29 15:05:22,732.0,3.0,144.0,16.0,105.0,29.0,240.0,959.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,45.0,24,True,2023-10-06 08:51:55.000,0.6.18,31.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],75.0,,https://pypi.org/project/torch-sparse,2023-10-06 08:51:55.000,75.0,26660.0,32477.0,https://anaconda.org/conda-forge/pytorch_sparse,2024-01-09 03:56:17.077,273423.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +568,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2024-04-10 17:11:06.000000,2023-03-06 07:52:05,311.0,,109.0,26.0,36.0,34.0,69.0,878.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,24,False,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],612.0,600.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,12.0,20643.0,20643.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +569,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2024-05-09 13:38:37.000000,2024-03-27 16:08:31,342.0,13.0,134.0,19.0,79.0,3.0,66.0,861.0,An intuitive library to extract features from time series.,19.0,24,True,2024-03-27 17:12:39.000,0.1.7,11.0,tsfel,,,,,128.0,125.0,https://pypi.org/project/tsfel,2024-03-27 16:06:38.000,3.0,19360.0,19360.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +570,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2024-05-06 12:25:30.000000,2024-02-01 14:45:49,245.0,,109.0,15.0,43.0,35.0,27.0,843.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,12.0,24,True,2024-02-01 14:51:21.000,0.5.2,13.0,detoxify,,,,,601.0,586.0,https://pypi.org/project/detoxify,2024-02-01 14:51:21.000,15.0,25373.0,36599.0,,,,,,,,3.0,471496.0,,,,,,,,,,,,,,,,,,, +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,,157.0,34.0,25.0,34.0,236.0,739.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,24,False,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,173.0,169.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,4.0,4506.0,4506.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +572,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2024-03-07 03:49:45.000000,2024-03-07 03:49:45,400.0,2.0,155.0,17.0,72.0,35.0,108.0,698.0,Ternary plotting library for python with matplotlib.,27.0,24,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,198.0,169.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,29.0,39276.0,40107.0,https://anaconda.org/conda-forge/python-ternary,2023-06-16 13:17:10.682,80645.0,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,, +573,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,,136.0,132.0,91.0,42.0,67.0,652.0,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'],203.0,193.0,https://pypi.org/project/mapboxgl,2019-06-02 16:02:54.380,10.0,15041.0,15041.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +574,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2024-04-09 13:42:05.705000,2024-04-03 15:41:01,407.0,9.0,134.0,20.0,46.0,3.0,84.0,548.0,Medical image processing in Python.,20.0,24,False,2024-04-03 15:53:56.000,0.5.1,9.0,MedPy,conda-forge/medpy,,,,1940.0,1892.0,https://pypi.org/project/MedPy,2024-04-03 15:53:56.000,48.0,20177.0,20949.0,https://anaconda.org/conda-forge/medpy,2024-04-09 13:42:05.705,27025.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +575,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,,72.0,9.0,17.0,11.0,12.0,508.0,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'],4519.0,4420.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,99.0,2724210.0,2733676.0,https://anaconda.org/conda-forge/findspark,2023-06-16 13:16:45.065,899310.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +576,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2024-05-07 21:17:52.000000,2024-02-11 00:53:13,766.0,1.0,85.0,13.0,31.0,7.0,49.0,369.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,18.0,24,True,2024-02-11 00:59:05.000,3.1.0,58.0,pymap3d,conda-forge/pymap3d,,,,433.0,391.0,https://pypi.org/project/pymap3d,2024-02-11 00:59:05.000,42.0,132944.0,134533.0,https://anaconda.org/conda-forge/pymap3d,2024-02-11 07:50:28.337,69934.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +577,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,,606.0,145.0,1362.0,118.0,986.0,7990.0,Production infrastructure for machine learning at scale.,25.0,23,False,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,2.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,2.0,1131.0,1131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +578,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2024-04-22 19:23:00.000000,2020-06-03 05:58:03,146.0,,1379.0,261.0,69.0,115.0,136.0,6325.0,Audio fingerprinting and recognition in Python.,23.0,23,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,21.0,21.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,,105.0,105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +579,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 21:45:14.000,2024-01-23 18:30:32.000000,2024-01-23 18:30:25,598.0,,739.0,104.0,588.0,107.0,345.0,5917.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,58.0,23,True,2023-03-30 16:55:07.154,0.9.4,29.0,t5,,,,['tensorflow'],2.0,,https://pypi.org/project/t5,2021-10-18 13:55:26.000,2.0,49436.0,49436.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +580,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2024-03-03 01:46:55.000000,2024-03-03 01:31:19,1096.0,1.0,924.0,114.0,675.0,146.0,542.0,5417.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,117.0,23,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,,['pytorch'],18.0,17.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,567.0,567.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +581,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2024-04-18 05:42:13.000000,2024-03-11 13:23:01,3347.0,3.0,820.0,231.0,111.0,57.0,620.0,4883.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,23,True,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,21.0,,,,,,,,3.0,1506.0,,,,,,,,,,,,,,,,,,, +582,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,,1370.0,351.0,59.0,51.0,,4301.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,184.0,184.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,,582.0,582.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +583,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2024-05-01 05:15:16.000000,2024-05-01 05:07:21,1597.0,6.0,514.0,150.0,609.0,86.0,75.0,3523.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",166.0,23,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,30.0,30.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +584,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,,529.0,173.0,50.0,65.0,49.0,3470.0,Fast and flexible AutoML with learning guarantees.,27.0,23,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],61.0,58.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,3.0,136.0,136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +585,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,,223.0,54.0,36.0,74.0,123.0,3132.0,A GUI for Pandas DataFrames.,15.0,23,False,2023-02-11 20:04:00.783,0.2.14,44.0,pandasgui,conda-forge/pandasgui,,,['pandas'],380.0,375.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000,5.0,3353.0,3899.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,21859.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +586,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,,237.0,42.0,110.0,80.0,64.0,2867.0,"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,,,,,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,9529.0,9531.0,,,,,,,,3.0,122.0,,,,,,,,,,,,,,,,,,, +587,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2024-03-13 21:11:32.000000,2024-03-13 21:09:44,767.0,1.0,362.0,91.0,548.0,144.0,92.0,2740.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,23,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],9.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,9.0,52934.0,52934.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +588,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,,413.0,131.0,136.0,60.0,128.0,2398.0,Deep Learning toolkit for Computer Vision.,15.0,23,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,,['tensorflow'],63.0,61.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,2520.0,2681.0,,,,,,,,3.0,12783.0,,,,,,,,,,,,,,,,,,, +589,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,,439.0,65.0,122.0,32.0,350.0,2378.0,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'],65.0,63.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,110.0,110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +590,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,,299.0,66.0,78.0,64.0,68.0,2098.0,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'],30.0,27.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,1510.0,1510.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +591,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,,243.0,44.0,33.0,51.0,90.0,1936.0,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'],170.0,170.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,3656.0,3656.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +592,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 05:46:52.000,2024-02-06 10:59:55.000000,2024-02-06 10:59:47,125.0,,228.0,42.0,36.0,45.0,24.0,1853.0,Parallel t-SNE implementation with Python and Torch wrappers.,18.0,23,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],468.0,446.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,2465.0,3391.0,https://anaconda.org/conda-forge/multicore-tsne,2023-10-11 19:12:48.654,34287.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +593,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,,245.0,53.0,446.0,6.0,402.0,1727.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,23,False,2023-03-07 23:47:39.075,0.7.1,25.0,farm,conda-forge/farm,,,['pytorch'],3.0,,https://pypi.org/project/farm,2020-09-14 15:23:01.000,3.0,1803.0,1893.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,3348.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +594,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,,116.0,38.0,11.0,33.0,51.0,1612.0,"A fast, efficient universal vector embedding utility package.",4.0,23,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,357.0,345.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,12.0,1280.0,1280.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +595,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,,256.0,50.0,312.0,99.0,17.0,1557.0,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,23,True,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],30.0,,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,30.0,54490.0,54490.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +596,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2024-03-05 07:56:07.000000,2024-03-05 07:56:07,582.0,2.0,302.0,57.0,115.0,54.0,30.0,1540.0,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,,,,,89.0,88.0,https://pypi.org/project/aix360,2023-07-31 18:54:38.000,1.0,887.0,887.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +597,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2024-05-06 14:21:43.000000,2023-11-08 21:41:55,157.0,,163.0,104.0,186.0,35.0,25.0,1494.0,fklearn: Functional Machine Learning.,55.0,23,True,2023-11-09 12:59:48.000,3.0.0,31.0,fklearn,,,,,13.0,13.0,https://pypi.org/project/fklearn,2023-11-09 12:59:48.000,,695.0,695.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +598,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2024-05-08 15:24:36.000000,2024-02-25 11:49:35,1255.0,13.0,121.0,31.0,164.0,71.0,142.0,1494.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",24.0,23,True,2024-01-20 15:39:17.000,0.9.0,14.0,kp,,,,,,,https://pypi.org/project/kp,2024-01-20 15:33:09.000,,188.0,199.0,,,,,,,,3.0,498.0,,,,,,,,,,,,,,,,,,, +599,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,,403.0,91.0,165.0,103.0,224.0,1356.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,61.0,23,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],42.0,42.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,,148.0,148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +600,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,,161.0,33.0,22.0,42.0,34.0,1271.0,"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'],61.0,61.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,,654.0,654.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +601,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2024-05-06 23:01:11.000000,2024-04-10 03:25:54,547.0,11.0,128.0,21.0,269.0,14.0,130.0,1219.0,A standard framework for modelling Deep Learning Models for tabular data.,21.0,23,True,2024-01-15 12:17:19.000,1.1.0,12.0,pytorch_tabular,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_tabular,2024-01-15 02:46:25.000,2.0,2412.0,2412.0,,,,,,,,1.0,27.0,,,,,,,,,,,,,,,,,,, +602,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2024-03-26 17:17:48.000000,2023-10-17 15:42:30,833.0,,327.0,51.0,793.0,7.0,300.0,1207.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,60.0,23,True,2023-03-03 07:51:00.411,3.1.34,85.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2023-03-03 07:51:00.411,2.0,1400.0,1400.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,, +603,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2024-05-07 04:53:40.000000,2024-04-29 07:05:47,431.0,5.0,150.0,92.0,122.0,33.0,45.0,1148.0,PFRL: a PyTorch-based deep reinforcement learning library.,20.0,23,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,108.0,107.0,https://pypi.org/project/pfrl,2023-07-16 15:34:00.704,1.0,294.0,294.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +604,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,,184.0,34.0,73.0,3.0,86.0,1036.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,23,True,2022-09-25 14:40:40.377,4.5.1,39.0,keract,,,,['tensorflow'],222.0,213.0,https://pypi.org/project/keract,2022-09-25 14:40:40.377,9.0,3823.0,3823.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +605,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,,149.0,23.0,46.0,15.0,82.0,911.0,kapre: Keras Audio Preprocessors.,13.0,23,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2400.0,2391.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,9.0,1452.0,1452.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,,, +606,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,,84.0,14.0,77.0,220.0,218.0,858.0,"Experiment tracking, ML developer tools.",29.0,23,True,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,95.0,95.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,1533.0,1533.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,, +607,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2024-04-17 06:08:55.000000,2024-04-17 06:07:52,292.0,7.0,249.0,46.0,18.0,9.0,91.0,827.0,Data compression in TensorFlow.,21.0,23,True,2024-03-27 19:52:35.000,2.16.0,25.0,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,2024-02-02 01:38:32.000,2.0,16947.0,16947.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +608,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2024-04-29 13:46:08.000000,2024-04-29 13:46:08,600.0,4.0,132.0,15.0,59.0,27.0,128.0,765.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,34.0,23,True,2023-10-12 06:54:28.000,1.6.3,43.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],45.0,,https://pypi.org/project/torch-cluster,2023-10-12 06:52:43.000,45.0,13758.0,15874.0,https://anaconda.org/conda-forge/pytorch_cluster,2023-12-29 00:14:59.843,101599.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +609,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.,16.0,23,False,2019-07-21 08:49:48.715,0.9.0,96.0,gmaps,conda-forge/gmaps,,,['jupyter'],20.0,4.0,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506,13.0,6903.0,11381.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,314699.0,,,,,3.0,,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,3.0,732.0,,,,,,,,,,, +610,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2024-05-06 14:08:02.000000,2023-09-19 18:44:18,355.0,,118.0,18.0,79.0,24.0,34.0,683.0,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'],267.0,244.0,https://pypi.org/project/biopandas,2023-08-28 15:32:25.000,23.0,63191.0,64892.0,https://anaconda.org/conda-forge/biopandas,2023-06-16 13:21:19.340,151430.0,,,,,3.0,,,,BioPandas/biopandas,,,,,,,,,,,,,,,, +611,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2024-03-15 12:50:01.000000,2018-12-04 14:43:25,32.0,,89.0,21.0,9.0,25.0,41.0,667.0,"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'],438.0,428.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,10.0,39953.0,39982.0,https://anaconda.org/anaconda/pivottablejs,2023-12-06 04:45:55.894,2917.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +612,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2024-05-03 16:06:47.000000,2024-05-03 12:15:14,872.0,17.0,83.0,10.0,735.0,92.0,438.0,606.0,Automated modeling and machine learning framework FEDOT.,33.0,23,True,2024-05-03 16:06:47.000,0.7.3.2,22.0,fedot,,,,,50.0,45.0,https://pypi.org/project/fedot,2024-05-03 15:56:33.000,5.0,1046.0,1046.0,,,,,,,,3.0,,,,aimclub/FEDOT,,,,,,,,,,,,,,,, +613,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2024-05-08 22:34:31.000000,2024-05-08 22:27:13,975.0,12.0,178.0,24.0,844.0,119.0,388.0,545.0,MONAI Label is an intelligent open source image labeling and learning tool.,59.0,23,True,2023-10-18 15:08:49.000,0.8.0,114.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,2023-10-01 02:24:07.000,,849.0,3252.0,,,,,,,,3.0,81714.0,,,,,,,,,,,,,,,,,,, +614,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2024-05-09 11:13:30.000000,2024-05-09 11:11:44,330.0,10.0,99.0,26.0,7.0,1.0,31.0,494.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,9.0,23,True,2024-05-09 11:13:30.000,0.1.722,145.0,autoviml,,,,,27.0,24.0,https://pypi.org/project/autoviml,2024-05-09 11:13:30.000,3.0,2288.0,2288.0,,,,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,, +615,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,,2010-05-02 10:00:33.000,2024-05-06 13:22:25.000000,2024-05-06 13:22:25,6709.0,1.0,143.0,36.0,395.0,37.0,136.0,373.0,Neuroimaging in Python FMRI analysis package.,69.0,23,False,2023-12-21 16:45:52.000,0.6.0,8.0,nipy,conda-forge/nipy,,,,245.0,224.0,https://pypi.org/project/nipy,2023-12-21 16:45:52.000,21.0,2786.0,4104.0,https://anaconda.org/conda-forge/nipy,2023-06-16 13:21:17.395,108097.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +616,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2024-02-25 19:17:18.000000,2024-02-25 19:17:13,576.0,1.0,83.0,29.0,318.0,75.0,27.0,367.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,23,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],396.0,389.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,49891.0,49891.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +617,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,,49.0,14.0,712.0,217.0,204.0,281.0,Asynchronous Distributed Hyperparameter Optimization.,32.0,23,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,111.0,103.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,2570.0,2570.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +618,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2024-05-05 00:10:04.000000,2024-04-22 13:58:48,483.0,66.0,105.0,19.0,509.0,58.0,124.0,259.0,An open-source toolkit for large-scale genomic analysis.,27.0,23,False,2024-03-12 08:52:09.000,2.0.0,16.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,2024-03-12 08:52:09.000,,38162.0,38265.0,https://anaconda.org/conda-forge/glow,2024-03-13 03:00:18.463,4045.0,,,,,3.0,38.0,,,,,,,,,,,,,,,,,,, +619,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 06:44:03.000,2024-03-12 10:32:40.000000,2018-07-23 21:04:09,90.0,,27.0,7.0,19.0,4.0,9.0,155.0,Get list of common stop words in various languages in Python.,8.0,23,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,2239.0,2195.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,44.0,100796.0,100796.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +620,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,,545.0,82.0,37.0,59.0,26.0,10853.0,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",16.0,22,False,2023-02-15 20:19:00.626,1.0.0,12.0,prettymaps,conda-forge/prettymaps,,,,48.0,48.0,https://pypi.org/project/prettymaps,2021-10-19 13:33:43.000,,788.0,875.0,https://anaconda.org/conda-forge/prettymaps,2023-06-18 08:40:31.986,2444.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +621,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,,779.0,223.0,25.0,8.0,122.0,5325.0,Build Graph Nets in Tensorflow.,11.0,22,False,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,,['tensorflow'],28.0,20.0,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,8.0,1346.0,1346.0,,,,,,,,3.0,,,,google-deepmind/graph_nets,,,,,,,,,,,,,,,, +622,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,,1704.0,19.0,17.0,70.0,24.0,5003.0,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,,,,,28.0,28.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,2583.0,2583.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +623,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-05-03 15:03:51.000000,2024-05-03 06:07:39,1600.0,42.0,810.0,146.0,1513.0,342.0,399.0,4975.0,Simple and Distributed Machine Learning.,118.0,22,True,2024-04-10 19:16:17.000,1.0.4-spark3.5,48.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,1.0,1.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +624,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 03:11:32.000,2024-03-28 17:33:46.000000,2023-01-15 11:37:16,279.0,,926.0,112.0,101.0,148.0,351.0,4867.0,Backtest trading strategies in Python.,19.0,22,False,2021-12-13 01:36:44.000,0.3.3,21.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2021-12-13 01:36:44.000,2.0,13798.0,13798.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +625,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2024-02-14 12:21:00.000000,2022-08-09 13:26:32,565.0,,1228.0,306.0,209.0,64.0,211.0,4729.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,22,False,,,,,,shadowreaver/crypto-signal,,,,,,,,,1792.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,143392.0,3.0,,,,,,,,,,,,,,,,,,,, +626,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,,658.0,158.0,130.0,83.0,101.0,4615.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,22,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,,['tensorflow'],6.0,,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,534.0,534.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +627,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,,321.0,74.0,37.0,95.0,75.0,4384.0,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,,,,,51.0,51.0,https://pypi.org/project/deep-daze,2022-03-13 19:09:50.000,,579.0,579.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +628,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,,810.0,328.0,89.0,91.0,306.0,3870.0,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,,,,,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,,108.0,131.0,https://anaconda.org/anaconda/neon,2023-06-16 13:24:50.216,1890.0,,,,,3.0,384.0,,,,,,,,,,,,,,,,,,, +629,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,,654.0,75.0,53.0,176.0,101.0,3383.0,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'],7.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,7.0,3280.0,3289.0,,,,,,,,3.0,562.0,,,,,,,,,,,,,,,,,,, +630,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2024-04-01 21:52:31.000000,2024-04-01 21:52:26,686.0,2.0,497.0,215.0,16.0,24.0,4.0,3359.0,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,,,,,13.0,13.0,https://pypi.org/project/finmarketpy,2024-01-01 21:29:17.000,,214.0,214.0,,,,,,,,3.0,51.0,,,,,,,,,,,,,,,,,,, +631,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2024-03-03 01:41:37.000000,2024-03-03 01:31:19,412.0,2.0,328.0,53.0,414.0,82.0,106.0,3230.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",38.0,22,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],40.0,39.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,162.0,162.0,,,,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,, +632,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,,381.0,207.0,9.0,6.0,16.0,3140.0,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],149.0,146.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,3.0,1540.0,1540.0,,,,,,,,3.0,,,,google-deepmind/trfl,,,,,,,,,,,,,,,, +633,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2024-05-06 16:34:46.000000,2021-05-06 12:10:38,127.0,,156.0,48.0,66.0,2.0,30.0,3020.0,"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,,,,48.0,48.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,400.0,452.0,https://anaconda.org/conda-forge/opyrator,2023-06-18 08:40:31.958,1479.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +634,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2024-03-05 03:41:26.000,2024-05-07 08:59:07.000000,2024-04-08 05:25:46,3457.0,3.0,727.0,7.0,5.0,406.0,855.0,2606.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",108.0,22,True,2024-03-05 10:02:36.000,0.1.0,418.0,analytics-zoo,,,,['spark'],1.0,,https://pypi.org/project/analytics-zoo,2022-08-22 20:19:01.213,1.0,637.0,637.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +635,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,,381.0,78.0,144.0,36.0,126.0,2383.0,"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'],29.0,27.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000,2.0,44.0,44.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +636,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,,368.0,86.0,4.0,4.0,18.0,2173.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,22,False,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,48.0,48.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000,,1448.0,1448.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +637,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2024-01-30 11:59:18.000000,2024-01-30 11:58:43,345.0,,341.0,42.0,68.0,161.0,95.0,1846.0,Super easy library for BERT based NLP models.,36.0,22,True,2024-01-30 11:59:18.000,2.0.25,71.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2024-01-30 11:59:18.000,2.0,1504.0,1504.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +638,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 18:33:20.000000,2024-01-16 17:27:35,27.0,,102.0,37.0,30.0,29.0,79.0,1793.0,"A flexible, intuitive and fast forecasting library.",10.0,22,True,2024-01-18 18:33:20.000,1.0.0,11.0,greykite,,,,,30.0,30.0,https://pypi.org/project/greykite,2024-01-12 20:13:07.000,,10743.0,10743.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,,, +639,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2024-02-11 12:41:49.000000,2020-04-24 06:58:09,58.0,,255.0,44.0,14.0,57.0,35.0,1772.0,"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']",277.0,266.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,5291.0,5291.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +640,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,,213.0,38.0,111.0,56.0,42.0,1709.0,"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'],158.0,152.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,6.0,3311.0,5540.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,208453.0,,,,,3.0,420.0,,,,,,,,,,,,,,,,,,, +641,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 20:51:25.000,2024-04-08 12:49:27.000000,2021-09-29 18:48:52,239.0,,203.0,38.0,7.0,15.0,33.0,1642.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,22,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],56.0,50.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,3130.0,3130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +642,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,,290.0,44.0,801.0,71.0,485.0,1610.0,jiant is an nlp toolkit.,60.0,22,False,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,3.0,3.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000,,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +643,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2024-04-01 08:11:14.000000,2024-04-01 08:11:13,912.0,3.0,207.0,56.0,52.0,77.0,149.0,1538.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,37.0,22,True,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000,,777.0,808.0,,,,,,,,3.0,2791.0,,,,,,,,,,,,,,,,,,, +644,jraph,deepmind/jraph,graph,,https://github.com/google-deepmind/jraph,https://github.com/google-deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2024-03-18 13:56:39.000000,2022-08-31 13:13:15,103.0,,85.0,41.0,15.0,9.0,27.0,1323.0,A Graph Neural Network Library in Jax.,17.0,22,False,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,,['jax'],182.0,169.0,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,13.0,11040.0,11189.0,https://anaconda.org/conda-forge/jraph,2023-06-16 19:27:46.249,4629.0,,,,,3.0,,,,google-deepmind/jraph,,,,,,,,,,,,,,,, +645,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,,188.0,27.0,57.0,22.0,36.0,1273.0,A Toolbox for Adversarial Robustness Research.,21.0,22,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],163.0,158.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,671.0,671.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +646,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,,181.0,31.0,86.0,16.0,32.0,1271.0,"A program for financial portfolio management, analysis and optimisation.",11.0,22,True,2023-09-04 06:57:56.000,0.7.0,15.0,FinQuant,,,,,93.0,92.0,https://pypi.org/project/FinQuant,2023-09-04 06:57:56.000,1.0,435.0,435.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +647,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2024-04-16 21:45:39.000000,2024-04-16 21:45:16,187.0,3.0,109.0,37.0,25.0,17.0,115.0,1191.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,14.0,22,True,2024-04-15 01:21:13.000,2.2.1,81.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,2023-12-06 05:33:15.000,8.0,6111.0,6111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +648,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,,215.0,66.0,29.0,31.0,12.0,1159.0,Anomaly Detection and Correlation library.,9.0,22,True,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,79.0,77.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,2.0,9255.0,9255.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +649,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2024-01-27 00:07:06.000000,2024-01-04 20:41:21,582.0,,294.0,96.0,121.0,62.0,97.0,1011.0,"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'],14.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,14.0,1440.0,1973.0,https://anaconda.org/conda-forge/astroml,2023-06-16 13:21:24.079,43216.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +650,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,,110.0,52.0,98.0,41.0,51.0,1008.0,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'],237.0,229.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,8.0,3547.0,3547.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +651,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2024-03-20 19:51:28.000000,2024-03-20 19:28:51,85.0,2.0,193.0,24.0,58.0,12.0,27.0,931.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",18.0,22,True,2024-03-20 19:51:28.000,0.2.1,12.0,saliency,,,,['tensorflow'],90.0,84.0,https://pypi.org/project/saliency,2024-03-20 19:51:28.000,6.0,5350.0,5350.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +652,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 20:26:10.000,2024-03-14 21:28:06.000000,2024-02-01 21:38:56,330.0,,162.0,29.0,111.0,80.0,56.0,887.0,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,,,,8.0,2.0,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000,4.0,5432.0,52942.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,2176096.0,,,,,3.0,,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,2.0,1211.0,,,,,,,,,,, +653,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,,135.0,24.0,594.0,63.0,511.0,839.0,"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,,,,,6.0,,https://pypi.org/project/icevision,2022-02-10 15:55:46.374,6.0,3305.0,3305.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +654,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,,103.0,29.0,60.0,22.0,74.0,834.0,ML-Ensemble high performance ensemble learning.,7.0,22,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,415.0,414.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,1.0,2253.0,2253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +655,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2024-05-04 16:36:51.000000,2024-04-04 17:25:59,224.0,2.0,83.0,18.0,155.0,24.0,84.0,833.0,Bayesian active learning library for research and industrial usecases.,21.0,22,True,2024-04-04 17:31:05.000,1.9.2,20.0,baal,conda-forge/baal,,,,57.0,56.0,https://pypi.org/project/baal,2024-04-04 17:29:59.000,1.0,4463.0,4666.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,8143.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +656,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2024-05-09 08:48:06.000000,2024-05-09 08:46:55,1188.0,39.0,123.0,30.0,997.0,37.0,50.0,757.0,Machine learning framework for both deep learning and traditional algorithms.,37.0,22,True,2023-12-26 02:42:15.000,2.0.210,15.0,neoml,,,,,,,https://pypi.org/project/neoml,2023-12-26 02:42:15.000,,398.0,398.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +657,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,,73.0,26.0,37.0,25.0,21.0,735.0,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,,,,,26.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,26.0,61338.0,61338.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,, +658,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,,38.0,685.0,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,,,,436.0,431.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,5.0,17589.0,17643.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,1956.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +659,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,,68.0,25.0,433.0,10.0,237.0,633.0,torchbearer: A model fitting library for PyTorch.,14.0,22,True,2023-12-01 18:48:07.000,0.5.5,26.0,torchbearer,,,,['pytorch'],91.0,87.0,https://pypi.org/project/torchbearer,2023-12-01 18:48:07.000,4.0,715.0,715.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +660,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,,111.0,26.0,23.0,57.0,35.0,603.0,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,,,,448.0,426.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,22.0,9087.0,9546.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,18855.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +661,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,,129.0,22.0,19.0,8.0,30.0,588.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,False,2021-01-28 23:23:17.000,1.3.7,22.0,rfpimp,,,,['sklearn'],158.0,153.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,11218.0,11218.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +662,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2024-05-02 14:24:25.000000,2024-05-02 14:23:46,346.0,4.0,85.0,7.0,20.0,2.0,89.0,546.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code...,18.0,22,True,2024-02-10 13:12:00.000,0.5.7,162.0,featurewiz,,,,,69.0,67.0,https://pypi.org/project/featurewiz,2024-02-10 13:12:00.000,2.0,7625.0,7625.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +663,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2024-03-21 11:25:40.000000,2021-12-19 09:41:43,133.0,,57.0,10.0,21.0,14.0,37.0,542.0,Joyplots in Python with matplotlib & pandas.,8.0,22,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,390.0,381.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,9.0,14512.0,14922.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,25449.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +664,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2024-03-19 15:52:10.000000,2024-03-19 15:52:03,1216.0,2.0,64.0,7.0,208.0,18.0,109.0,503.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,22,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,,['huggingface'],254.0,249.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,2829.0,2829.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +665,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 15:04:58.000,2024-05-05 16:01:33.000000,2024-05-05 16:01:32,1771.0,65.0,67.0,7.0,216.0,47.0,81.0,502.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,20.0,22,False,2023-12-05 11:42:47.000,0.5.3,27.0,quantus,,,,,27.0,26.0,https://pypi.org/project/quantus,2023-12-05 11:42:47.000,1.0,1079.0,1084.0,,,,,,,,3.0,152.0,,,,,,,,,,,,,,,,,,, +666,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 22:49:49.000,2024-04-15 06:19:14.000000,2024-04-15 06:19:14,282.0,5.0,105.0,13.0,130.0,18.0,138.0,473.0,A Python library for dynamic classifier and ensemble selection.,17.0,22,True,2024-04-12 03:07:31.000,0.3.7,6.0,deslib,,,,['sklearn'],50.0,47.0,https://pypi.org/project/deslib,2024-04-12 03:07:31.000,3.0,1514.0,1514.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +667,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 10:59:08.000,2024-04-14 12:59:12.000000,2023-03-05 00:16:57,419.0,,99.0,36.0,276.0,71.0,173.0,469.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",19.0,22,False,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,77.0,75.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,2.0,1551.0,1554.0,,,,,,,,3.0,307.0,,,,,,,,,,,,,,,,,,, +668,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2024-02-08 01:53:44.000000,2024-02-08 01:48:49,168.0,,48.0,17.0,2.0,11.0,3.0,373.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,22,True,2024-02-08 01:53:44.000,0.1.3,14.0,suod,,,,,518.0,510.0,https://pypi.org/project/suod,2024-02-08 01:53:44.000,8.0,15541.0,15541.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +669,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2024-04-27 16:26:42.000000,2024-04-27 16:26:42,258.0,7.0,27.0,9.0,5.0,22.0,60.0,313.0,Multiple Imputation with LightGBM in Python.,8.0,22,True,2023-11-16 02:24:03.000,5.7.0,45.0,miceforest,conda-forge/miceforest,,,,136.0,131.0,https://pypi.org/project/miceforest,2023-11-16 02:24:03.000,5.0,31954.0,32319.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,12441.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +670,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,,33.0,12.0,9.0,4.0,12.0,231.0,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,,,,1125.0,1069.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,56.0,104623.0,106016.0,https://anaconda.org/conda-forge/py3nvml,2023-09-25 06:14:21.168,59940.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +671,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2024-04-24 23:28:34.000000,2020-04-18 19:15:25,24.0,,1119.0,141.0,44.0,34.0,10.0,8396.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,21,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],50.0,48.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,2.0,977.0,977.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +672,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,,644.0,94.0,150.0,98.0,103.0,8362.0,The user analytics platform for LLMs.,40.0,21,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,2.0,,https://pypi.org/project/nebullvm,2023-06-18 11:03:00.511,2.0,775.0,775.0,,,,,,,,3.0,,,,nebuly-ai/nebuly,,,,,,,,,,,,,,,, +673,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,,1170.0,95.0,48.0,391.0,284.0,6291.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,31.0,21,True,,,1.0,pyslowfast,,,,['pytorch'],15.0,15.0,https://pypi.org/project/pyslowfast,2020-01-15 23:51:07.000,,40.0,40.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +674,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 16:09:50.000,2024-03-12 17:57:31.000000,2023-08-15 07:38:22,956.0,,542.0,166.0,46.0,37.0,28.0,4303.0,High-performance TensorFlow library for quantitative finance.,47.0,21,True,,,30.0,tf-quant-finance,,,,['tensorflow'],2.0,,https://pypi.org/project/tf-quant-finance,2022-08-19 12:40:54.257,2.0,786.0,786.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +675,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,,454.0,165.0,120.0,22.0,112.0,2930.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,38.0,21,False,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,9.0,9.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000,,269.0,269.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +676,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,,327.0,73.0,2.0,18.0,7.0,2910.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,21,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,,['pytorch'],206.0,198.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,8.0,1448.0,1448.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +677,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2024-03-20 15:45:40.000000,2023-08-26 20:55:56,106.0,,237.0,61.0,106.0,27.0,56.0,2110.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,21,True,2021-05-21 00:29:47.000,0.2,3.0,pycls,,,,['pytorch'],18.0,18.0,https://pypi.org/project/pycls,2020-09-05 00:21:00.000,,1141.0,1141.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +678,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,,251.0,54.0,35.0,15.0,105.0,2059.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,21,True,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000,,8525.0,8525.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +679,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2024-01-30 02:43:49.000000,2023-08-10 17:09:47,309.0,,158.0,23.0,33.0,31.0,31.0,1913.0,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",11.0,21,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,,['pytorch'],29.0,28.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,370.0,528.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,4530.0,,,,,3.0,92.0,,,,,,,,,,,,,,,,,,, +680,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2024-04-22 13:05:03.000000,2024-02-04 20:37:53,1083.0,,271.0,31.0,40.0,27.0,176.0,1783.0,A library for graph deep learning research.,49.0,21,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,,391.0,391.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +681,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,,197.0,30.0,423.0,11.0,163.0,1652.0,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'],,,https://pypi.org/project/graph4nlp,2022-01-20 15:18:44.000,,110.0,110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +682,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2024-04-19 09:46:18.000000,2020-12-17 06:57:15,932.0,,293.0,66.0,202.0,5.0,74.0,1585.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,21,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000,,31.0,249.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13117.0,3.0,,,,,,,,,,,,,,,,,,,, +683,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,,278.0,71.0,728.0,51.0,64.0,1582.0,An end-to-end PyTorch framework for image and video classification.,77.0,21,False,2023-03-21 05:24:19.000,0.7.0,18.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],4.0,,https://pypi.org/project/classy_vision,2023-03-21 05:15:00.935,4.0,585.0,960.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,19539.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +684,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,,140.0,102.0,150.0,21.0,20.0,1551.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,21,False,2022-02-18 18:01:38.000,0.8.6,233.0,lore,,,,,22.0,21.0,https://pypi.org/project/lore,2022-02-18 18:01:38.000,1.0,2063.0,2063.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +685,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,,272.0,65.0,51.0,23.0,75.0,1477.0,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,,,,,35.0,35.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,381.0,381.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +686,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,,405.0,102.0,36.0,13.0,24.0,1422.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,21,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,,['tensorflow'],31.0,31.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,151.0,151.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +687,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2024-04-17 19:59:55.000000,2024-04-17 19:59:46,779.0,6.0,182.0,18.0,262.0,77.0,94.0,1277.0,Generate Diverse Counterfactual Explanations for any machine learning model.,19.0,21,True,2023-10-26 11:36:48.000,0.11,12.0,dice-ml,,,,"['tensorflow', 'pytorch']",6.0,,https://pypi.org/project/dice-ml,2023-10-27 03:54:06.000,6.0,57320.0,57320.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +688,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,,220.0,63.0,48.0,36.0,90.0,1257.0,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'],37.0,34.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,3.0,385.0,385.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +689,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,,208.0,28.0,61.0,54.0,61.0,1067.0,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,123.0,121.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,2.0,503.0,508.0,,,,,,,,3.0,605.0,,,,,,,,,,,,,,,,,,, +690,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,,251.0,47.0,46.0,26.0,127.0,1057.0,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'],28.0,28.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,318.0,318.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +691,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000,2024-01-21 21:15:50.000000,2023-08-18 11:01:23,442.0,,210.0,53.0,86.0,64.0,206.0,1021.0,Line based ATR Engine based on OCRopy.,20.0,21,True,2023-08-18 11:50:18.000,1.0.6,41.0,calamari_ocr,,,,,5.0,,https://pypi.org/project/calamari_ocr,2023-08-18 11:50:18.000,5.0,2200.0,2200.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +692,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,,184.0,52.0,12.0,16.0,42.0,1005.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,21,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],83.0,79.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,176.0,176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +693,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2024-02-13 05:58:29.000000,2024-02-13 05:55:37,305.0,2.0,90.0,18.0,73.0,18.0,44.0,960.0,Audio processing by using pytorch 1D convolution network.,15.0,21,True,2024-02-13 05:58:29.000,0.3.3,40.0,nnAudio,,,,,180.0,176.0,https://pypi.org/project/nnAudio,2024-02-13 05:58:29.000,4.0,11239.0,11239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +694,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2024-03-29 10:21:35.000000,2023-03-29 07:39:45,85.0,,84.0,26.0,55.0,36.0,28.0,944.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,21,False,2020-02-13 09:57:47.000,1.0.6,14.0,youtokentome,conda-forge/youtokentome,,,,23.0,,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,23.0,44419.0,45801.0,https://anaconda.org/conda-forge/youtokentome,2023-09-27 19:23:04.851,44225.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +695,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2024-05-01 04:05:18.000000,2024-04-25 03:40:02,286.0,110.0,51.0,11.0,59.0,4.0,19.0,897.0,"Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and video, up..",14.0,21,True,2024-04-25 03:41:41.000,3.0.2,34.0,uform,,,,['pytorch'],7.0,6.0,https://pypi.org/project/uform,2024-04-25 03:41:41.000,1.0,1285.0,1301.0,,,,,,,,3.0,241.0,,,,,,,,,,,,,,,,,,, +696,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,,76.0,6.0,5.0,4.0,23.0,828.0,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'],445.0,432.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000,13.0,29415.0,29415.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +697,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,,160.0,38.0,46.0,43.0,49.0,799.0,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,100.0,91.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,9.0,548.0,548.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +698,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2024-01-27 00:16:56.000000,2024-01-27 00:08:50,463.0,,78.0,26.0,162.0,51.0,62.0,761.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,26.0,21,True,2023-11-06 22:17:30.000,1.8.0,11.0,objax,,,,['jax'],56.0,52.0,https://pypi.org/project/objax,2023-11-06 22:03:10.000,4.0,604.0,604.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +699,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,,144.0,25.0,19.0,26.0,5.0,737.0,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'],629.0,621.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,8.0,48361.0,48531.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,7334.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +700,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2024-04-20 08:47:50.000000,2024-03-27 18:40:09,1505.0,2.0,79.0,34.0,656.0,22.0,118.0,697.0,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']",13.0,11.0,https://pypi.org/project/finetune,2023-09-29 10:19:51.000,2.0,247.0,247.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +701,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,,106.0,30.0,1.0,13.0,3.0,632.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,21,False,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,,"['sklearn', 'xgboost']",628.0,620.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,8.0,20587.0,20587.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +702,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,,54.0,29.0,12.0,13.0,15.0,631.0,Log TensorBoard events without touching TensorFlow.,5.0,21,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,199.0,191.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,8.0,13705.0,13705.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +703,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,,57.0,19.0,216.0,49.0,313.0,597.0,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,,,,,61.0,60.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,311.0,311.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +704,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 13:42:47.000,2024-01-31 14:01:51.000000,2023-02-14 11:18:28,249.0,,95.0,26.0,32.0,35.0,6.0,590.0,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'],389.0,381.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,8.0,24334.0,24334.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +705,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,,64.0,28.0,31.0,5.0,24.0,564.0,Python module for machine learning time series:.,14.0,21,False,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,49.0,47.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,1732.0,1732.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +706,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 08:06:41.000,2024-05-05 11:20:27.000000,2023-12-29 21:08:41,477.0,,57.0,26.0,9.0,17.0,35.0,521.0,Active Learning for Text Classification in Python.,6.0,21,True,2023-12-29 21:23:01.000,1.3.3,20.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",28.0,28.0,https://pypi.org/project/small-text,2023-12-29 21:17:11.000,,750.0,1012.0,https://anaconda.org/conda-forge/small-text,2023-12-29 21:40:00.838,5771.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +707,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,,78.0,24.0,12.0,48.0,49.0,414.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,118.0,115.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,3.0,4764.0,4764.0,,,,,,,,3.0,93.0,,,,,,,,,,,,,,,,,,, +708,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,,27.0,9.0,9.0,2.0,9.0,405.0,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'],1353.0,1347.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,6.0,205285.0,205285.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +709,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,,52.0,24.0,231.0,57.0,195.0,381.0,Studio: Simplify and expedite model building process.,24.0,21,True,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,5.0,5.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,895.0,895.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +710,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2024-05-01 02:15:11.000000,2024-05-01 02:14:09,660.0,2.0,65.0,30.0,457.0,22.0,91.0,370.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,21,True,2023-07-18 13:09:18.000,4.0.0,40.0,vega,conda-forge/vega,,,['jupyter'],18.0,4.0,https://pypi.org/project/vega,2023-04-12 02:09:01.110,14.0,14208.0,20375.0,https://anaconda.org/conda-forge/vega,2023-06-16 13:18:03.216,585866.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +711,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,,60.0,28.0,110.0,33.0,184.0,366.0,scalable audio processing framework and server written in Python.,22.0,21,False,2023-01-03 17:34:09.000,1.1.3,28.0,TimeSide,,,,,17.0,17.0,https://pypi.org/project/TimeSide,2020-11-27 09:33:19.000,,235.0,235.0,,,,,,,,3.0,,,,yomguy/TimeSide,,,,,,,,,,,,,,,, +712,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2024-05-06 12:03:00.000000,2024-04-24 09:11:29,818.0,6.0,25.0,7.0,75.0,30.0,22.0,365.0,Flexible time series feature extraction & processing.,6.0,21,True,2024-04-04 10:31:07.000,0.4.0,37.0,tsflex,conda-forge/tsflex,,,,14.0,13.0,https://pypi.org/project/tsflex,2024-04-04 10:23:01.000,1.0,702.0,1324.0,https://anaconda.org/conda-forge/tsflex,2024-04-08 09:54:58.786,21179.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +713,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,,49.0,11.0,37.0,29.0,37.0,349.0,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,,,,,245.0,229.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,16.0,4912.0,4912.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +714,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,,33.0,18.0,6.0,19.0,21.0,305.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,28.0,21,True,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],97.0,96.0,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,1.0,1470.0,1470.0,,,,,,,,3.0,,,,google-deepmind/launchpad,,,,,,,,,,,,,,,, +715,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/vega/vegafusion,https://github.com/vega/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2024-05-09 14:49:33.000000,2024-05-07 16:07:09,658.0,20.0,14.0,24.0,347.0,45.0,83.0,292.0,Serverside scaling for Vega and Altair visualizations.,4.0,21,False,2024-05-07 18:23:47.000,1.6.8,74.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,5.0,,https://pypi.org/project/vegafusion-jupyter,2024-05-07 16:08:21.000,2.0,1604.0,6416.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2024-05-08 17:59:03.571,114459.0,,,,,3.0,5093.0,,,vega/vegafusion,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2024-05-07 16:12:51.359,3.0,229.0,,,,,,,,,,, +716,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2024-05-08 16:31:46.000000,2024-05-08 15:07:49,731.0,33.0,24.0,5.0,282.0,7.0,,290.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML & AI pipeline..,12.0,21,False,2024-05-08 15:07:11.000,1.1.282,710.0,upgini,,,,,6.0,6.0,https://pypi.org/project/upgini,2024-05-08 16:31:46.000,,8249.0,8249.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +717,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 21:07:17.000,2024-04-18 12:38:22.000000,2023-02-07 20:17:52,60.0,,56.0,26.0,42.0,8.0,10.0,286.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,21,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,,"['sklearn', 'spark']",18.0,16.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,423327.0,423327.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +718,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2024-03-12 15:58:25.000000,2024-03-12 15:58:25,48.0,1.0,2312.0,147.0,89.0,256.0,286.0,12895.0,End-to-End Object Detection with Transformers.,27.0,20,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],21.0,21.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +719,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,,475.0,85.0,180.0,108.0,161.0,3574.0,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,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,76.0,98.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1333.0,3.0,,,,,,,,,,,,,,,,,,,, +720,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,,357.0,96.0,16.0,53.0,17.0,3371.0,"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,,,,,151.0,144.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,903.0,903.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +721,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,,318.0,59.0,242.0,174.0,111.0,3102.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,20.0,20,True,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,,2.0,,https://pypi.org/project/lightseq,2022-11-03 06:46:55.989,2.0,3239.0,3251.0,,,,,,,,3.0,675.0,,,,,,,,,,,,,,,,,,, +722,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,,168.0,65.0,54.0,6.0,44.0,3078.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",20.0,20,False,2021-11-19 16:51:47.000,1.0.0,34.0,igel,,,,,4.0,4.0,https://pypi.org/project/igel,2021-11-19 16:45:29.543,,365.0,365.0,,,,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,, +723,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2024-04-02 17:52:52.000000,2021-06-15 18:41:51,22.0,,268.0,31.0,22.0,27.0,37.0,3036.0,A small package to create visualizations of PyTorch execution graphs.,6.0,20,False,,,,,,,,,1807.0,1807.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +724,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,,398.0,101.0,54.0,64.0,48.0,2914.0,Quickly search over billions of images.,19.0,20,False,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,2.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,2.0,1798.0,1798.0,,,,,,,,3.0,,,,rhsimplex/image-match,,,,,,,,,,,,,,,, +725,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,,332.0,101.0,1000.0,94.0,261.0,2826.0,"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,,,,,,,,,,,,,,,,,,,, +726,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,,827.0,85.0,30.0,45.0,80.0,2648.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,69.0,69.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,,646.0,646.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +727,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,,454.0,127.0,225.0,87.0,183.0,2310.0,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,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +728,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,,178.0,55.0,895.0,129.0,586.0,1905.0,"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,,,,,,,,,,18.0,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,1020.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +729,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,,157.0,46.0,3.0,13.0,15.0,1534.0,"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'],27.0,27.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,2579.0,2579.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +730,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,,356.0,61.0,47.0,37.0,71.0,1478.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,20,False,2018-07-17 01:59:21.000,1.0.8,14.0,anago,,,,['tensorflow'],38.0,32.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000,6.0,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +731,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,,101.0,40.0,13.0,14.0,9.0,1267.0,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,,,,,143.0,141.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,2.0,3213.0,3213.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +732,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,,169.0,56.0,14.0,30.0,19.0,1017.0,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,,,,176.0,174.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,2.0,806.0,1040.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,8441.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +733,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,,132.0,36.0,16.0,8.0,4.0,923.0,Nudity detection with Python.,12.0,20,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3627.0,3622.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,5.0,720.0,720.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +734,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,,130.0,18.0,24.0,28.0,39.0,825.0,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,,,,26.0,,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,20691.0,21041.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,20311.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +735,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2024-02-10 07:16:54.000000,2021-07-30 15:06:27,104.0,,126.0,30.0,29.0,21.0,34.0,759.0,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'],44.0,44.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,,937.0,937.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +736,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,,148.0,36.0,33.0,25.0,39.0,757.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",20.0,20,False,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,106.0,106.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,,811.0,811.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +737,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,,158.0,78.0,98.0,51.0,43.0,751.0,[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']",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000,1.0,10895.0,10895.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +738,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2024-04-28 01:04:18.000000,2024-04-25 13:16:31,491.0,1.0,110.0,33.0,558.0,206.0,246.0,689.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,20,True,2024-01-15 02:09:18.000,23.12.00,16.0,merlin-core,,,,,1.0,,https://pypi.org/project/merlin-core,2023-08-29 16:27:32.000,1.0,5352.0,5352.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +739,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2024-04-03 18:32:28.000000,2021-09-16 17:56:31,171.0,,144.0,34.0,82.0,16.0,55.0,617.0,Code for the TCAV ML interpretability project.,19.0,20,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],23.0,20.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,480.0,480.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +740,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,,104.0,23.0,25.0,43.0,61.0,607.0,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'],172.0,170.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,1925.0,2035.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,3852.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +741,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,,103.0,10.0,14.0,5.0,16.0,574.0,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,,,,356.0,352.0,https://pypi.org/project/pywaffle,2022-06-08 03:10:36.000,4.0,7121.0,7302.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,11823.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +742,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,,97.0,15.0,53.0,13.0,15.0,558.0,A library of metrics for evaluating recommender systems.,20.0,20,True,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,,51.0,51.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,18864.0,18864.0,,,,,,,,3.0,6.0,,,,,,,,,,,,,,,,,,, +743,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,,166.0,56.0,20.0,39.0,60.0,544.0,Bayesian inference in HSMMs and HMMs.,13.0,20,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,30.0,29.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,1.0,121.0,121.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +744,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,,57.0,60.0,9.0,25.0,25.0,531.0,Python library assists deep learning on graphs.,18.0,20,True,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,100.0,98.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,2.0,348.0,348.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,, +745,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 21:00:31.000,2024-03-30 13:25:33.000000,2024-03-30 13:25:33,69.0,5.0,51.0,18.0,9.0,12.0,10.0,495.0,Topological Data Analysis for Python.,6.0,20,True,2024-03-17 19:09:40.000,1.1.0,5.0,scikit-tda,,,,['sklearn'],55.0,55.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000,,3676.0,3676.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +746,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,,41.0,12.0,11.0,9.0,52.0,491.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,7.0,20,True,2023-11-01 10:40:28.000,4.6.0,75.0,hyperactive,,,,,34.0,29.0,https://pypi.org/project/hyperactive,2023-10-24 14:03:36.000,5.0,3602.0,3604.0,,,,,,,,3.0,137.0,,,,,,,,,,,,,,,,,,, +747,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,,46.0,9.0,9.0,11.0,21.0,490.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,20,False,2023-11-17 16:33:58.000,0.6.1,14.0,apricot-select,,,,,118.0,110.0,https://pypi.org/project/apricot-select,2021-02-18 06:55:02.000,8.0,6403.0,6403.0,,,,,,,,3.0,27.0,,,,,,,,,,,,,,,,,,, +748,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2024-02-04 00:13:12.000000,2023-07-18 10:24:07,542.0,,35.0,14.0,223.0,15.0,40.0,487.0,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']",22.0,20.0,https://pypi.org/project/popmon,2023-07-18 10:32:00.587,2.0,11483.0,11486.0,,,,,,,,3.0,148.0,,,,,,,,,,,,,,,,,,, +749,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2024-02-24 12:21:01.000000,2023-08-12 16:28:59,266.0,,107.0,20.0,57.0,26.0,21.0,484.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,20,True,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,69.0,61.0,https://pypi.org/project/rrcf,2023-04-30 02:25:49.592,8.0,2326.0,2326.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +750,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,,99.0,18.0,9.0,5.0,41.0,443.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some..",7.0,20,True,2022-02-16 06:14:54.000,0.0.17,17.0,chefboost,,,,,53.0,53.0,https://pypi.org/project/chefboost,2022-02-16 06:14:54.000,,3064.0,3064.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +751,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,,83.0,20.0,247.0,10.0,23.0,402.0,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,,,,,24.0,23.0,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,1.0,1510.0,1510.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,, +752,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2024-04-26 21:27:16.000000,2024-04-26 20:31:49,327.0,9.0,77.0,25.0,345.0,26.0,9.0,332.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,36.0,20,True,2024-04-26 21:27:16.000,0.46.0,31.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2024-04-26 21:27:16.000,,1519.0,1519.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +753,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2024-03-27 12:25:36.647000,2024-03-27 08:46:27,190.0,11.0,41.0,19.0,3.0,10.0,8.0,282.0,Analyze Data with Pandas-based Networks. Documentation:.,3.0,20,False,2024-03-27 10:16:33.000,0.2.4,14.0,deepgraph,conda-forge/deepgraph,,,['pandas'],9.0,9.0,https://pypi.org/project/deepgraph,2024-03-27 10:16:33.000,,817.0,5003.0,https://anaconda.org/conda-forge/deepgraph,2024-03-27 12:25:36.647,180024.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +754,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,,67.0,28.0,31.0,30.0,113.0,262.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",20.0,20,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,,18.0,,https://pypi.org/project/somoclu,2023-02-18 02:51:08.166,18.0,1946.0,3997.0,https://anaconda.org/conda-forge/somoclu,2023-10-13 23:30:32.439,87464.0,,,,,3.0,1907.0,,,,,,,,,,,,,,,,,,, +755,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2024-05-02 05:10:26.000000,2023-07-02 18:02:16,1462.0,,45.0,15.0,182.0,21.0,64.0,240.0,Python Implementation and Extension of RDF2Vec.,7.0,20,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,42.0,40.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,2.0,363.0,363.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +756,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,,31.0,9.0,4.0,20.0,29.0,227.0,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,439.0,425.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,14.0,1157.0,1161.0,,,,,,,,3.0,375.0,,,,,,,,,,,,,,,,,,, +757,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2024-04-09 15:16:39.000000,2024-04-09 15:16:39,371.0,1.0,148.0,17.0,71.0,18.0,39.0,1692.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,17.0,19,True,2023-09-06 15:46:59.000,0.1.2,12.0,pythae,,,,['pytorch'],21.0,21.0,https://pypi.org/project/pythae,2023-09-06 15:46:59.000,,565.0,565.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +758,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,,139.0,17.0,11.0,41.0,43.0,1057.0,"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'],131.0,126.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,3979.0,3979.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +759,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,,142.0,25.0,76.0,49.0,36.0,1031.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,19,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,2.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,2.0,255647.0,255806.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,7986.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +760,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,,143.0,14.0,24.0,58.0,69.0,849.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,98.0,97.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,424.0,424.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +761,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,,227.0,30.0,38.0,41.0,21.0,838.0,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,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,2.0,2841.0,2841.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +762,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,,81.0,14.0,35.0,3.0,23.0,798.0,Leave One Feature Out Importance.,6.0,19,True,2024-01-16 09:19:50.000,0.3.4,14.0,lofo-importance,,,,,31.0,27.0,https://pypi.org/project/lofo-importance,2024-01-16 09:19:50.000,4.0,4050.0,4050.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +763,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,,69.0,23.0,47.0,16.0,17.0,789.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,19,True,2023-08-29 06:52:02.000,0.2.16,22.0,evojax,conda-forge/evojax,,,['jax'],24.0,19.0,https://pypi.org/project/evojax,2023-08-29 06:52:02.000,5.0,679.0,1557.0,https://anaconda.org/conda-forge/evojax,2023-08-29 10:08:55.843,23710.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +764,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,,102.0,26.0,48.0,19.0,35.0,729.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000,0.0.9,9.0,matrixprofile-ts,,,,,28.0,26.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,2.0,511.0,511.0,,,,,,,,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 15:23:32.000,2024-05-05 11:51:57.000000,2024-05-05 11:51:05,300.0,5.0,108.0,17.0,25.0,1.0,86.0,674.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",13.0,19,True,2024-05-05 11:51:57.000,0.0.92,39.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2024-05-05 11:51:57.000,,7011.0,7011.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +766,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,,75.0,39.0,17.0,13.0,22.0,564.0,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,,,,,35.0,31.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,298.0,298.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +767,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,,63.0,17.0,111.0,8.0,48.0,559.0,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'],140.0,135.0,https://pypi.org/project/poutyne,2022-04-28 20:18:33.000,5.0,5055.0,5055.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +768,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,,68.0,13.0,10.0,23.0,41.0,541.0,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,,,,,49.0,49.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,1273.0,1273.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +769,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,,139.0,58.0,72.0,18.0,71.0,523.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",17.0,19,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,19.0,19.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,175.0,175.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +770,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,,97.0,28.0,21.0,37.0,12.0,468.0,A python library for Bayesian time series modeling.,6.0,19,True,2023-05-07 06:30:08.000,0.1.1.12,14.0,pydlm,,,,,35.0,33.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000,2.0,22559.0,22559.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +771,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,,32.0,16.0,148.0,39.0,66.0,465.0,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']",47.0,47.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,438.0,438.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +772,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,,70.0,24.0,48.0,15.0,19.0,399.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",14.0,19,False,2017-04-12 16:12:01.000,0.3.4,13.0,skrebate,conda-forge/skrebate,,,['sklearn'],28.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000,28.0,4558.0,4988.0,https://anaconda.org/conda-forge/skrebate,2023-06-16 16:08:23.527,32695.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +773,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2024-04-30 19:01:14.000000,2023-11-27 22:11:53,398.0,,129.0,34.0,323.0,81.0,130.0,323.0,Brain Imaging Analysis Kit.,35.0,19,True,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,,,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000,,135.0,153.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,1825.0,3.0,,,,,,,,,,,,,,,,,,,, +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,,43.0,13.0,63.0,4.0,56.0,318.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,19,True,2023-01-11 12:30:05.335,2.0.9,35.0,ivis,,,,['tensorflow'],33.0,31.0,https://pypi.org/project/ivis,2022-03-10 14:57:02.000,2.0,1334.0,1334.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +775,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,,27.0,22.0,239.0,24.0,25.0,299.0,Textpipe: clean and extract metadata from text.,29.0,19,False,2021-01-25 14:05:21.000,0.12.2,39.0,textpipe,,,,,9.0,8.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000,1.0,176.0,176.0,,,,,,,,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 12:39:38.000,2024-05-08 22:37:02.000000,2024-04-20 15:27:32,496.0,3.0,55.0,14.0,83.0,13.0,35.0,248.0,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,,,,,1.0,,https://pypi.org/project/omlt,2022-02-08 01:23:07.000,1.0,15136.0,15136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +777,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 15:02:43.000,2024-03-21 11:20:10.000000,2024-03-21 11:20:09,585.0,1.0,33.0,24.0,638.0,21.0,128.0,239.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,19,False,2023-08-10 10:30:37.000,0.13.0,20.0,larq-compute-engine,,,,,7.0,7.0,https://pypi.org/project/larq-compute-engine,2023-08-10 10:30:37.000,,1337.0,1356.0,,,,,,,,3.0,1015.0,,,,,,,,,,,,,,,,,,, +778,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,,20.0,18.0,464.0,90.0,76.0,233.0,Functional tensors for probabilistic programming.,11.0,19,False,2023-08-31 18:37:22.000,0.4.6,12.0,funsor,,,,['pytorch'],77.0,67.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,10.0,4352.0,4352.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +779,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,,23.0,8.0,11.0,5.0,9.0,212.0,A Python module to convert natural language numerics into ints and floats.,4.0,19,False,2023-05-01 07:55:52.405,0.2.3,11.0,numerizer,,,,,81.0,79.0,https://pypi.org/project/numerizer,2023-01-03 08:08:01.830,2.0,25618.0,25618.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +780,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2024-04-24 21:09:41.000000,2024-04-24 21:09:38,861.0,3.0,17.0,8.0,182.0,11.0,23.0,151.0,Toolkit for developing and maintaining ML models.,14.0,19,False,2024-02-02 14:57:28.000,0.1.2,35.0,modelkit,,,,,,,https://pypi.org/project/modelkit,2024-02-02 14:55:53.000,,9096.0,9096.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +781,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,,6687.0,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,18,False,2018-02-17 00:12:46.000,2018.1.2,18.0,SerpentAI,,,,,,,https://pypi.org/project/SerpentAI,2018-02-17 00:12:46.000,,94.0,101.0,,,,,,,,3.0,341.0,,,,,,,,,,,,,,,,,,, +782,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,,891.0,111.0,51.0,46.0,160.0,6232.0,Model parallel transformers in JAX and Haiku.,23.0,18,False,,,,,,,,['jax'],20.0,20.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +783,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2024-05-07 20:37:29.000000,2024-05-07 20:36:57,691.0,38.0,399.0,39.0,833.0,149.0,114.0,3028.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,81.0,18,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +784,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,,412.0,106.0,83.0,67.0,48.0,2944.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,102.0,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,8543.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +785,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,,461.0,79.0,36.0,83.0,68.0,1679.0,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,,,,,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000,,169.0,169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +786,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,,71.0,25.0,1004.0,127.0,65.0,1641.0,Version control for machine learning.,17.0,18,False,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,1.0,,https://pypi.org/project/keepsake,2021-01-25 21:51:16.000,1.0,535.0,535.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +787,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,,174.0,22.0,20.0,16.0,30.0,1608.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,18,False,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,5.0,5.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,110.0,110.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,, +788,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,,254.0,56.0,65.0,8.0,31.0,1367.0,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,,,,,2.0,2.0,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +789,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,,93.0,34.0,72.0,31.0,30.0,1096.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,18,False,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,,['pytorch'],2.0,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,2.0,9674.0,9674.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +790,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,,156.0,44.0,5.0,4.0,7.0,1065.0,XAI - An eXplainability toolbox for machine learning.,3.0,18,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,33.0,27.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,6.0,286.0,286.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +791,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2024-02-10 16:41:21.000000,2024-02-10 16:41:20,438.0,2.0,192.0,61.0,7.0,13.0,29.0,1057.0,Python AutoML for Trading Systems and Sports Betting.,5.0,18,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,4.0,4.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,200.0,200.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +792,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,,176.0,18.0,42.0,22.0,59.0,891.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,18,False,2020-12-01 06:11:12.000,1.2.1.post2,10.0,robustness,conda-forge/robustness,,,,177.0,174.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,3.0,456.0,644.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,8462.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +793,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,,188.0,33.0,15.0,18.0,22.0,783.0,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'],14.0,13.0,https://pypi.org/project/tffm,2022-01-17 20:35:57.000,1.0,71.0,71.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +794,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,,58.0,15.0,10.0,26.0,17.0,754.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,18,False,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,48.0,48.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,1310.0,1310.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +795,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,,29.0,18.0,42.0,6.0,18.0,592.0,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,,,,12.0,11.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,288.0,47843.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2092451.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +796,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2024-02-21 14:38:09.000000,2024-02-21 14:09:04,30.0,1.0,68.0,6.0,5.0,4.0,29.0,534.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,3.0,18,True,2024-02-21 14:38:09.000,0.2.7,10.0,shap-hypetune,,,,,17.0,15.0,https://pypi.org/project/shap-hypetune,2024-02-21 14:34:22.000,2.0,1518.0,1518.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +797,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,,92.0,24.0,19.0,5.0,20.0,457.0,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'],12.0,12.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000,,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +798,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2024-02-08 01:27:56.000000,2023-01-13 21:57:34,832.0,,55.0,,,,,431.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,18,False,2024-02-08 01:27:56.000,0.12.1,49.0,sklearn-evaluation,,,,['sklearn'],3.0,,https://pypi.org/project/sklearn-evaluation,2024-02-08 01:27:56.000,3.0,2836.0,2836.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +799,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2024-05-07 15:16:56.000000,2024-01-10 08:10:55,2818.0,,63.0,11.0,255.0,9.0,109.0,427.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,22.0,18,True,2023-07-13 11:41:03.541,0.1.2,12.0,pykale,,,,['pytorch'],1.0,1.0,https://pypi.org/project/pykale,2022-04-12 08:56:50.000,,127.0,127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +800,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,,105.0,72.0,7.0,15.0,19.0,421.0,semantic similarity framework for knowledge graph.,10.0,18,True,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,46.0,46.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,,482.0,482.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +801,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,,38.0,10.0,29.0,17.0,17.0,405.0,A python package for animating plots build on matplotlib.,7.0,18,False,2020-10-05 06:20:52.000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,62.0,58.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000,4.0,233.0,441.0,https://anaconda.org/conda-forge/animatplot,2023-06-16 16:14:07.121,13161.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +802,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2024-03-18 12:01:04.000000,2024-03-18 12:01:00,5152.0,1.0,38.0,12.0,1.0,2.0,80.0,400.0,Deep Learning PyTorch.,1.0,18,True,2024-01-09 05:17:07.000,0.5.0,103.0,carefree-learn,,,,['pytorch'],5.0,5.0,https://pypi.org/project/carefree-learn,2024-01-09 05:17:07.000,,275.0,275.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +803,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2024-05-08 20:14:16.000000,2024-05-08 20:14:15,683.0,3.0,70.0,30.0,80.0,15.0,25.0,397.0,A Python implementation of active inference for Markov Decision Processes.,15.0,18,True,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,9.0,9.0,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,382.0,382.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +804,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2024-02-20 11:57:52.000000,2023-11-17 08:50:12,72.0,,61.0,8.0,12.0,11.0,18.0,374.0,TextAugment: Text Augmentation Library.,8.0,18,True,2023-11-16 20:54:10.000,2.0.0,9.0,textaugment,,,,,97.0,93.0,https://pypi.org/project/textaugment,2023-11-16 20:49:04.000,4.0,4551.0,4552.0,,,,,,,,3.0,67.0,,,,,,,,,,,,,,,,,,, +805,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,,30.0,11.0,121.0,31.0,150.0,345.0,Open source production model management tool for data scientists.,6.0,18,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,163.0,163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +806,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'],15.0,13.0,https://pypi.org/project/camphr,2023-03-07 22:10:10.175,2.0,388.0,388.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +807,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,,51.0,11.0,60.0,17.0,41.0,329.0,"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,,,,,40.0,36.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,4.0,210.0,210.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +808,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,,79.0,19.0,93.0,30.0,18.0,314.0,"pandas, scikit-learn, xgboost and seaborn integration.",4.0,18,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,,"['sklearn', 'pandas']",11.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000,11.0,2161.0,2161.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,, +809,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,,76.0,22.0,431.0,27.0,51.0,268.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,31.0,18,False,2023-10-25 10:51:36.000,0.2.1,23.0,pipeline-dp,,,,,2.0,2.0,https://pypi.org/project/pipeline-dp,2023-11-22 19:01:05.000,,153.0,153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +810,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,,19.0,6.0,31.0,20.0,39.0,262.0,Streaming over lightweight data transformations.,5.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,55.0,52.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,463.0,463.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +811,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2024-03-20 15:29:38.000000,2023-06-15 16:53:55,703.0,,43.0,11.0,60.0,31.0,47.0,235.0,Scikit-learn compatible estimation of general graphical models.,7.0,18,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,,['sklearn'],18.0,14.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,4.0,43.0,43.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +812,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2024-04-08 15:16:55.000000,2024-04-08 15:03:47,262.0,2.0,31.0,11.0,199.0,21.0,75.0,194.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",12.0,18,False,2023-07-26 15:36:39.000,0.7.3,15.0,celer,,,,['sklearn'],36.0,35.0,https://pypi.org/project/celer,2023-07-26 15:36:39.000,1.0,759.0,759.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +813,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,,57.0,5.0,2.0,2.0,1.0,130.0,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,,,,9221.0,9035.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,186.0,370467.0,370500.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,1142.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +814,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,,1345.0,468.0,21.0,56.0,167.0,7029.0,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,,,,,,,,,,,,,,,, +815,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,,1028.0,119.0,24.0,14.0,352.0,4254.0,An Open-Source Package for Neural Relation Extraction (NRE).,13.0,17,True,,,,,,,,,3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +816,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2024-03-14 09:28:18.000000,2022-06-21 18:24:09,30.0,,987.0,63.0,13.0,44.0,25.0,3595.0,Implementation and experiments of graph embedding algorithms.,9.0,17,False,,,,,,,,['sklearn'],32.0,32.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +817,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,,255.0,52.0,13.0,20.0,13.0,1539.0,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,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000,,62.0,83.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1688.0,3.0,,,,,,,,,,,,,,,,,,,, +818,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,,109.0,57.0,34.0,22.0,13.0,1266.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,17,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +819,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,,144.0,17.0,11.0,25.0,18.0,1156.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,17,False,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,,['pytorch'],54.0,52.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,422.0,422.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +820,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,,111.0,19.0,58.0,2.0,13.0,749.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,17,False,2021-10-13 21:04:12.000,2.0.8,119.0,caer,,,https://caer.rtfd.io,,2.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000,2.0,5135.0,5135.0,,,,,,,,3.0,30.0,,,,,,,,,,,,,,,,,,, +821,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,,36.0,12.0,13.0,8.0,16.0,749.0,"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'],36.0,36.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,2341.0,2436.0,https://anaconda.org/conda-forge/tensor-sensor,2023-06-16 19:27:38.210,2948.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +822,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,,100.0,24.0,101.0,37.0,84.0,702.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,17,False,2021-02-16 11:34:12.211,3.0.0,16.0,hyperparameter-hunter,,,,,1.0,,https://pypi.org/project/hyperparameter-hunter,2018-06-14 02:21:57.000,1.0,154.0,160.0,,,,,,,,3.0,420.0,,,,,,,,,,,,,,,,,,, +823,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2024-01-29 12:26:32.000000,2024-01-29 12:26:25,611.0,,87.0,25.0,4.0,39.0,42.0,687.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,12.0,17,True,2022-09-19 20:15:07.376,0.3.17,25.0,thundergbm,,,,,2.0,2.0,https://pypi.org/project/thundergbm,2022-09-19 20:15:07.376,,307.0,307.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +824,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,,65.0,17.0,21.0,29.0,50.0,673.0,"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,,,,,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000,,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +825,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,,40.0,15.0,18.0,,20.0,594.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,17,True,2023-09-22 14:58:06.000,3.1.3,27.0,opytimizer,,,,,16.0,16.0,https://pypi.org/project/opytimizer,2022-05-04 20:51:15.000,,203.0,203.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +826,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2024-03-01 15:54:36.000000,2024-01-15 19:35:42,191.0,,53.0,10.0,17.0,10.0,29.0,392.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,5.0,17,True,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,1337.0,1337.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,, +827,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,,69.0,28.0,57.0,30.0,32.0,291.0,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'],3.0,3.0,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,69.0,72.0,,,,,,,,3.0,173.0,,,,,,,,,,,,,,,,,,, +828,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,,33.0,14.0,36.0,8.0,44.0,228.0,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,26.0,24.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,98.0,98.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +829,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2024-04-01 22:09:11.000000,2024-03-02 11:17:16,371.0,1.0,38.0,6.0,133.0,,35.0,224.0,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,17,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,1.0,,https://pypi.org/project/chitra,2022-01-09 08:50:45.005,1.0,2706.0,2813.0,https://anaconda.org/conda-forge/chitra,2023-06-18 08:40:33.534,3000.0,,,,,3.0,,,,aniketmaurya/chitra,,,,,,,,,,,,,,,, +830,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,,12.0,8.0,2.0,,5.0,192.0,"Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers.",3.0,17,False,2023-12-15 03:21:06.000,0.1.29,25.0,ipyexperiments,,,,['jupyter'],10.0,8.0,https://pypi.org/project/ipyexperiments,2023-12-15 03:21:06.000,2.0,233.0,233.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +831,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,,531.0,176.0,110.0,56.0,149.0,3916.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +832,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,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,50.0,50.0,,,,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,, +833,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,,116.0,19.0,295.0,3.0,69.0,1054.0,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,16,True,2022-12-28 02:06:22.000,2.0.0,10.0,textbox,,,,,6.0,6.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +834,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,,110.0,20.0,37.0,20.0,8.0,1040.0,Distributed Computing for AI Made Simple.,5.0,16,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,71.0,70.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +835,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2024-04-26 17:46:05.000000,2021-04-16 18:50:54,57.0,,121.0,50.0,22.0,15.0,9.0,833.0,A medical imaging framework for Pytorch.,8.0,16,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],15.0,15.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,59.0,59.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +836,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,,57.0,18.0,7.0,,10.0,797.0,MADGRAD Optimization Method.,2.0,16,False,,,4.0,madgrad,,,,['pytorch'],80.0,79.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,1.0,4997.0,4997.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +837,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,,113.0,27.0,10.0,25.0,51.0,785.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,16,False,,,10.0,anchor_exp,,,,,2.0,,https://pypi.org/project/anchor_exp,2020-09-10 22:52:00.000,2.0,1460.0,1460.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +838,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,,87.0,16.0,15.0,10.0,22.0,722.0,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'],17.0,17.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,360.0,360.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +839,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,,124.0,42.0,435.0,25.0,130.0,707.0,GPU accelerated signal processing.,46.0,16,True,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +840,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,,92.0,18.0,19.0,3.0,29.0,628.0,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,,,,,14.0,14.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +841,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,,98.0,38.0,106.0,12.0,51.0,552.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,12.0,16,True,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,126.0,129.0,,,,,,,,3.0,222.0,,,vaticle/typedb-ml,,,,,,,,,,,,,,,, +842,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,,84.0,36.0,47.0,5.0,12.0,406.0,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,,,,,3.0,2.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +843,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,,38.0,15.0,39.0,2.0,13.0,395.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,,['pytorch'],10.0,10.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,131.0,131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +844,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,,33.0,23.0,21.0,17.0,10.0,345.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,94.0,87.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,7.0,76.0,76.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +845,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,,52.0,25.0,19.0,15.0,17.0,325.0,Logging MXNet data for visualization in TensorBoard.,9.0,16,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],,,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,,2440.0,2440.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +846,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,,24.0,11.0,8.0,1.0,10.0,235.0,scikit-learn wrappers for Python fastText.,9.0,16,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,,['sklearn'],14.0,14.0,https://pypi.org/project/skift,2018-03-15 09:05:47.000,,752.0,752.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +847,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2024-02-13 04:16:38.000000,2020-04-04 19:26:37,127.0,,29.0,5.0,5.0,6.0,5.0,199.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,16,False,,,23.0,parfit,,,,['sklearn'],27.0,27.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,3206.0,3206.0,,,,,,,,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,,43.0,1.0,,,,192.0,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'],,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000,,973.0,973.0,,,,,,,,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,,31.0,13.0,54.0,16.0,50.0,134.0,"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,,,,,57.0,52.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,88.0,88.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +850,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2024-02-21 16:29:12.000000,2023-03-31 15:44:32,231.0,,20.0,32.0,53.0,7.0,7.0,105.0,"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'],41.0,41.0,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,182.0,182.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +851,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,,982.0,102.0,28.0,27.0,356.0,3724.0,An Open-Source Package for Knowledge Embedding (KE).,14.0,15,True,,,,,,,,,,,,,,,,,,,,,,,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,,560.0,140.0,28.0,217.0,102.0,2876.0,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'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000,,11.0,11.0,,,,,,,,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,,423.0,144.0,72.0,12.0,53.0,2200.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +854,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 12:34:57.000,2024-04-03 18:25:21.000000,2022-04-04 08:29:54,41.0,,294.0,54.0,22.0,42.0,85.0,1269.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,15,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,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,,230.0,39.0,40.0,73.0,34.0,1134.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +856,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,,203.0,42.0,667.0,28.0,27.0,816.0,Translate - a PyTorch Language Library.,88.0,15,False,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +857,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,,39.0,24.0,4.0,4.0,2.0,677.0,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'],7.0,5.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000,2.0,135.0,135.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +858,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,,55.0,16.0,83.0,18.0,49.0,571.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,15,False,2022-05-18 08:35:04.000,0.0.32,8.0,KD-Lib,,,,['pytorch'],,,https://pypi.org/project/KD-Lib,2022-05-18 08:35:04.000,,104.0,104.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +859,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,,88.0,21.0,18.0,22.0,2.0,510.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,11.0,11.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,260.0,260.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +860,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2024-04-26 05:02:51.000000,2024-01-25 16:57:26,261.0,,67.0,19.0,99.0,19.0,15.0,488.0,"Research workflows made easy, locally and in the Cloud.",10.0,15,True,2023-06-16 17:26:21.434,0.4.2,11.0,caliban,,,,,,,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,119.0,119.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +861,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2024-03-18 22:30:20.000000,2024-03-18 22:30:15,140.0,3.0,42.0,20.0,169.0,5.0,64.0,463.0,A collection of tools for neural compression enthusiasts.,10.0,15,True,2023-10-03 14:26:28.000,0.3.1,6.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,2023-10-03 14:26:28.000,,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +862,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2024-04-21 03:30:12.000000,2024-04-21 03:30:09,79.0,4.0,61.0,16.0,64.0,6.0,9.0,438.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",4.0,15,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,9.0,9.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,100.0,100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +863,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,,56.0,18.0,6.0,6.0,,391.0,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,,,,10.0,9.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,42.0,174.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,6114.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +864,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,,40.0,12.0,17.0,2.0,5.0,372.0,A PyTorch Graph Neural Network Library.,8.0,15,False,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,,['pytorch'],3.0,3.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,168.0,168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +865,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2024-02-25 19:50:49.000000,2024-02-25 19:50:49,174.0,2.0,38.0,22.0,5.0,11.0,23.0,352.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,True,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000,,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +866,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,,15.0,11.0,6.0,9.0,6.0,307.0,Drift Detection for your PyTorch Models.,4.0,15,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],26.0,26.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,209.0,209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +867,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,,19.0,13.0,271.0,70.0,175.0,295.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,683.0,683.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +868,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,,41.0,16.0,7.0,2.0,13.0,229.0,Easy training and deployment of seq2seq models.,2.0,15,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,6.0,5.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,349.0,349.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +869,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,,28.0,10.0,15.0,6.0,4.0,222.0,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'],8.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,8.0,1037.0,1037.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +870,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,,18.0,5.0,2.0,16.0,23.0,188.0,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'],12.0,12.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,703.0,703.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +871,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,,9.0,5.0,3.0,1.0,,129.0,Data Analysis Baseline Library.,24.0,15,False,2023-02-28 01:21:03.335,0.2.5,17.0,dabl,,,,['sklearn'],1.0,,https://pypi.org/project/dabl,2024-01-09 18:32:27.000,1.0,4059.0,4059.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +872,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,MIT,,2024-04-24 11:56:39.000000,,,,,,,,,,Supercharging Machine Learning.,,15,True,2024-04-10 15:22:19.000,3.40.0,284.0,comet_ml,comet_ml,,,,67.0,,https://pypi.org/project/comet_ml,2024-04-24 11:56:39.000,67.0,415756.0,415756.0,https://anaconda.org/anaconda/comet_ml,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +873,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,,826.0,77.0,34.0,116.0,59.0,3308.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +874,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,,482.0,67.0,26.0,5.0,97.0,1672.0,An Open-Source Package for Network Embedding (NE).,12.0,14,True,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +875,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,,149.0,32.0,,53.0,59.0,1194.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,14,False,,,4.0,,milagraph/graphvite,,,,,,,,,,82.0,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,4702.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +876,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2024-02-27 22:17:46.000000,2024-02-05 15:11:35,743.0,,117.0,28.0,111.0,14.0,25.0,1069.0,An autoML framework & toolkit for machine learning on graphs.,15.0,14,True,2022-12-30 06:11:04.000,0.4.0,4.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000,,1.0,1.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +877,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,,,,1.0,,https://pypi.org/project/skater,2018-09-21 07:03:32.000,1.0,416.0,1833.0,https://anaconda.org/conda-forge/skater,2023-09-18 15:13:22.392,65218.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +878,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2024-03-26 16:48:56.000000,2024-01-29 19:20:57,64.0,,43.0,11.0,9.0,4.0,12.0,700.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",6.0,14,True,,,,rliable`,,,,,128.0,128.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +879,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2024-02-05 16:37:11.000000,2024-02-05 16:37:10,152.0,,67.0,19.0,177.0,87.0,16.0,402.0,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'],,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,123.0,123.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +880,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,,37.0,11.0,8.0,10.0,3.0,341.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,2.0,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,2.0,1288.0,1288.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +881,nanodl,HMUNACHI/nanodl,ml-frameworks,,https://github.com/HMUNACHI/nanodl,https://github.com/HMUNACHI/nanodl,MIT,2023-08-22 13:22:24.000,2024-04-13 17:06:03.000000,2024-04-13 17:06:03,147.0,53.0,10.0,8.0,15.0,2.0,7.0,254.0,A Jax-based library for designing and training transformer models from scratch.,3.0,14,False,,,5.0,nanodl,,,,['jax'],,,https://pypi.org/project/nanodl,2024-03-26 18:15:37.000,,48.0,48.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +882,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,,11.0,16.0,14.0,5.0,4.0,242.0,"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,,,,,,,https://pypi.org/project/backprop,2021-04-20 13:53:12.000,,299.0,299.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +883,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,,32.0,8.0,72.0,31.0,8.0,233.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,14,False,,,27.0,neuralqa,,,,,4.0,4.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,116.0,116.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +884,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,,486.0,109.0,12.0,39.0,8.0,2684.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +885,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,,81.0,48.0,4.0,3.0,,2478.0,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'],1.0,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,1.0,1614.0,1616.0,,,,,,,,3.0,59.0,,,,,,,,,,,,,,,,,,, +886,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,,178.0,38.0,10.0,13.0,3.0,1345.0,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +887,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,,18.0,11.0,57.0,4.0,20.0,291.0,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'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000,,115.0,115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +888,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,,28.0,8.0,6.0,8.0,8.0,244.0,"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,,,,,1.0,1.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,87.0,87.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +889,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,,25.0,8.0,16.0,4.0,6.0,191.0,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,13,False,2019-09-12 07:41:04.000,2.0,4.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000,,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +890,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,,35.0,14.0,18.0,27.0,18.0,122.0,A deep learning python package for neuroimaging data. Made by:.,6.0,13,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000,,47.0,47.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +891,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,,50.0,Distributed machine learning made simple.,2.0,13,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,33.0,33.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,58.0,58.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +892,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2024-02-04 11:31:27.000000,2024-02-04 11:28:34,124.0,,12.0,12.0,17.0,,,42.0,Bias Detector is a python package for detecting bias in machine learning models.,4.0,13,False,2024-02-04 11:31:27.000,0.0.13,12.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2024-02-04 11:31:27.000,,160.0,160.0,,,,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,, +893,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.,3.0,13,False,2021-12-23 15:53:08.000,1.2.0,3.0,nptsne,,,,,6.0,6.0,https://pypi.org/project/nptsne,2021-12-23 15:53:08.000,,168.0,168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +894,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2024-03-28 08:06:49.000000,2022-02-09 22:20:11,9.0,,465.0,93.0,21.0,52.0,15.0,3262.0,AutoML algorithms for model architecture search at scale.,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +895,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,,400.0,63.0,6.0,62.0,17.0,1837.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +896,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,,315.0,87.0,11.0,12.0,6.0,1702.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +897,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,,53.0,17.0,3.0,2.0,1.0,528.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,12,False,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,3.0,3.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000,,103.0,103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +898,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2024-04-24 13:48:16.000000,2022-11-21 12:12:41,1044.0,,11.0,6.0,26.0,1.0,2.0,258.0,Maze Applied Reinforcement Learning Framework.,3.0,12,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,enliteai/maze,,['pytorch'],,,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,116.0,122.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,242.0,3.0,8.0,,,,,,,,,,,,,,,,,,, +899,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,,27.0,21.0,44.0,1.0,5.0,199.0,An automatic ML model optimization tool.,11.0,12,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,123.0,123.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +900,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.,3.0,12,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,121.0,131.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,661.0,3.0,,,,,,,,,,,,,,,,,,,, +901,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,,9.0,6.0,,2.0,4.0,119.0,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']",4.0,4.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000,,70.0,70.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +902,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,,13.0,12.0,5.0,3.0,2.0,111.0,"Better, faster hyper-parameter optimization.",8.0,12,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,76.0,76.0,,,,,,,,3.0,,,,genixpro/hypermax,,,,,,,,,,,,,,,, +903,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,,11.0,8.0,4.0,5.0,14.0,100.0,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'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2022-10-07 09:58:11.751,,847.0,847.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +904,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,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000,,140.0,140.0,,,,,,,,3.0,,,,SAP-archive/contextual-ai,,,,,,,,,,,,,,,, +905,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,,8.0,7.0,4.0,14.0,18.0,84.0,"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,,,,,,,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000,,83.0,83.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +906,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,,111.0,45.0,13.0,7.0,20.0,947.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +907,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,,146.0,39.0,7.0,19.0,14.0,916.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +908,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,,21.0,12.0,41.0,7.0,12.0,365.0,A library for distributed ML training with PyTorch.,6.0,11,False,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +909,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,,25.0,16.0,51.0,11.0,1.0,134.0,Simple Distributed Deep Learning on TensorFlow.,11.0,11,False,,,2.0,autodist,,,,['tensorflow'],,,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,37.0,37.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +910,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2024-02-28 09:09:14.000000,2023-11-24 19:47:45,314.0,,7.0,7.0,126.0,7.0,9.0,107.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,11,False,2023-11-24 19:49:33.000,0.2.7,9.0,,,,,['jax'],4.0,4.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +911,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,,81.0,17.0,5.0,4.0,12.0,568.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +912,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,,50.0,15.0,13.0,14.0,11.0,498.0,Library for Textless Spoken Language Processing.,8.0,10,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +913,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,,10.0,9.0,44.0,,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,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000,,40.0,40.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +914,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']",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,42.0,42.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +915,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,,25.0,7.0,2.0,2.0,6.0,144.0,Python package to generate stock portfolios.,4.0,8,False,2020-03-13 20:04:08.000,0.2,3.0,pyrtfolio,,,,,,,https://pypi.org/project/pyrtfolio,2020-03-13 20:31:47.000,,15.0,15.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +916,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,,6.0,7.0,,1.0,,67.0,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,,,,1.0,,https://pypi.org/project/tslumen,2022-11-22 17:50:34.944,1.0,35.0,35.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index 3242a04..594f17b 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._ -- Thinc (πŸ₯ˆ36 Β· ⭐ 2.8K Β· πŸ“ˆ) - A refreshing functional take on deep learning, compatible with your.. MIT -- einops (πŸ₯ˆ34 Β· ⭐ 7.9K Β· πŸ“ˆ) - Flexible and powerful tensor operations for readable and reliable code.. MIT -- TensorFlow I/O (πŸ₯ˆ34 Β· ⭐ 690 Β· πŸ“ˆ) - Dataset, streaming, and file system extensions.. Apache-2 -- torchrec (πŸ₯‡31 Β· ⭐ 1.7K Β· πŸ“ˆ) - Pytorch domain library for recommendation systems. BSD-3 -- GluonCV (πŸ₯ˆ30 Β· ⭐ 5.8K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 -- USearch (πŸ₯‰30 Β· ⭐ 1.7K Β· πŸ“ˆ) - Fast Open-Source Search & Clustering engine for Vectors &.. Apache-2 -- Talos (πŸ₯ˆ27 Β· ⭐ 1.6K Β· πŸ“ˆ) - Hyperparameter Experiments with TensorFlow and Keras. MIT -- skforecast (πŸ₯‰27 Β· ⭐ 900 Β· πŸ“ˆ) - Time series forecasting with scikit-learn models. BSD-3 -- ffcv (πŸ₯‰25 Β· ⭐ 2.7K Β· πŸ“ˆ) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 -- Auto ViML (πŸ₯‰21 Β· ⭐ 490 Β· πŸ“ˆ) - Automatically Build Multiple ML Models with a Single Line of.. Apache-2 +- jax (πŸ₯‡46 Β· ⭐ 28K Β· πŸ“ˆ) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 +- Shapely (πŸ₯ˆ39 Β· ⭐ 3.7K Β· πŸ“ˆ) - Manipulation and analysis of geometric objects. BSD-3 +- DeepSpeech (πŸ₯ˆ33 Β· ⭐ 24K Β· πŸ’€) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +- Captum (πŸ₯‡33 Β· ⭐ 4.6K Β· πŸ“ˆ) - Model interpretability and understanding for PyTorch. BSD-3 +- pyopencl (πŸ₯ˆ33 Β· ⭐ 1K Β· πŸ“ˆ) - OpenCL integration for Python, plus shiny features. MIT +- scattertext (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ“ˆ) - Beautiful visualizations of how language differs among.. Apache-2 +- HiPlot (πŸ₯‰24 Β· ⭐ 2.7K Β· πŸ’€) - HiPlot makes understanding high dimensional data easy. MIT +- Auto ViML (πŸ₯‰23 Β· ⭐ 490 Β· πŸ“ˆ) - Automatically Build Multiple ML Models with a Single Line of.. Apache-2 +- vissl (πŸ₯‰22 Β· ⭐ 3.2K Β· πŸ“ˆ) - VISSL is FAIRs library of extensible, modular and scalable.. MIT +- bias-detector (πŸ₯‰13 Β· ⭐ 42 Β· πŸ“ˆ) - Bias Detector is a python package for detecting bias in machine.. 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._ -- geopy (πŸ₯ˆ33 Β· ⭐ 4.3K Β· πŸ“‰) - Geocoding library for Python. MIT -- Captum (πŸ₯ˆ31 Β· ⭐ 4.6K Β· πŸ“‰) - Model interpretability and understanding for PyTorch. BSD-3 -- sacred (πŸ₯ˆ29 Β· ⭐ 4.2K Β· πŸ“‰) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT -- Sumy (πŸ₯ˆ28 Β· ⭐ 3.4K Β· πŸ“‰) - Module for automatic summarization of text documents and HTML pages. Apache-2 -- pygal (πŸ₯ˆ27 Β· ⭐ 2.6K Β· πŸ“‰) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 -- scattertext (πŸ₯‰25 Β· ⭐ 2.2K Β· πŸ“‰) - Beautiful visualizations of how language differs among.. Apache-2 -- pymap3d (πŸ₯‰23 Β· ⭐ 370 Β· πŸ“‰) - pure-Python (Numpy optional) 3D coordinate conversions for geospace.. BSD-2 -- DeepSpeech (πŸ₯‰22 Β· ⭐ 24K Β· πŸ“‰) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 -- YouTokenToMe (πŸ₯‰21 Β· ⭐ 940 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT -- MXBoard (πŸ₯‰17 Β· ⭐ 320 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 +- scikit-learn (πŸ₯‡50 Β· ⭐ 58K Β· πŸ“‰) - scikit-learn: machine learning in Python. BSD-3 +- SymPy (πŸ₯‡47 Β· ⭐ 12K Β· πŸ“‰) - A computer algebra system written in pure Python. BSD-3 +- StatsModels (πŸ₯ˆ44 Β· ⭐ 9.6K Β· πŸ“‰) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 +- XGBoost (πŸ₯ˆ42 Β· ⭐ 26K Β· πŸ“‰) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT.. Apache-2 +- Theano (πŸ₯ˆ38 Β· ⭐ 9.9K Β· πŸ“‰) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 +- Prophet (πŸ₯‡34 Β· ⭐ 18K Β· πŸ’€) - Tool for producing high quality forecasts for time series data that.. MIT +- TensorFlow I/O (πŸ₯ˆ32 Β· ⭐ 690 Β· πŸ“‰) - Dataset, streaming, and file system extensions.. Apache-2 +- Satpy (πŸ₯‰31 Β· ⭐ 1K Β· πŸ“‰) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 +- snowballstemmer (πŸ₯ˆ30 Β· ⭐ 720 Β· πŸ“‰) - Snowball compiler and stemming algorithms. BSD-3 +- doctr (πŸ₯‰29 Β· ⭐ 3.1K Β· πŸ“‰) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2