diff --git a/README.md b/README.md
index 7657ded..9d1223d 100644
--- a/README.md
+++ b/README.md
@@ -101,12 +101,12 @@ _General-purpose machine learning and deep learning frameworks._
PyTorch (π₯56 Β· β 83K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 
-- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 5.2K Β· π 22K Β· π₯ 59K Β· π¦ 540K Β· π 47K - 32% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 5.2K Β· π 22K Β· π₯ 60K Β· π¦ 540K Β· π 47K - 32% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/pytorch/pytorch
```
-- [PyPi](https://pypi.org/project/torch) (π₯ 35M / month Β· π¦ 19K Β· β±οΈ 04.09.2024):
+- [PyPi](https://pypi.org/project/torch) (π₯ 34M / month Β· π¦ 19K Β· β±οΈ 04.09.2024):
```
pip install torch
```
@@ -117,12 +117,12 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (π₯55 Β· β 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2 
-- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.7K Β· π 74K Β· π¦ 410K Β· π 43K - 11% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.7K Β· π 74K Β· π¦ 420K Β· π 43K - 11% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/tensorflow/tensorflow
```
-- [PyPi](https://pypi.org/project/tensorflow) (π₯ 18M / month Β· π¦ 7.9K Β· β±οΈ 30.09.2024):
+- [PyPi](https://pypi.org/project/tensorflow) (π₯ 18M / month Β· π¦ 8K Β· β±οΈ 07.10.2024):
```
pip install tensorflow
```
@@ -130,19 +130,19 @@ _General-purpose machine learning and deep learning frameworks._
```
conda install -c conda-forge tensorflow
```
-- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 78M Β· β 2.6K Β· β±οΈ 03.10.2024):
+- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 78M Β· β 2.6K Β· β±οΈ 10.10.2024):
```
docker pull tensorflow/tensorflow
```
scikit-learn (π₯52 Β· β 60K) - scikit-learn: machine learning in Python. BSD-3 
-- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3.2K Β· π 25K Β· π₯ 1K Β· π¦ 900K Β· π 12K - 18% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3.2K Β· π 25K Β· π₯ 1K Β· π¦ 910K Β· π 12K - 18% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/scikit-learn/scikit-learn
```
-- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 76M / month Β· π¦ 24K Β· β±οΈ 11.09.2024):
+- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 79M / month Β· π¦ 25K Β· β±οΈ 11.09.2024):
```
pip install scikit-learn
```
@@ -153,28 +153,28 @@ _General-purpose machine learning and deep learning frameworks._
Keras (π₯48 Β· β 62K) - Deep Learning for humans. Apache-2
-- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.3K Β· π 19K Β· π 12K - 2% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.3K Β· π 19K Β· π 12K - 2% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/keras-team/keras
```
-- [PyPi](https://pypi.org/project/keras) (π₯ 14M / month Β· π¦ 1.6K Β· β±οΈ 12.08.2024):
+- [PyPi](https://pypi.org/project/keras) (π₯ 14M / month Β· π¦ 1.6K Β· β±οΈ 03.10.2024):
```
pip install keras
```
-- [Conda](https://anaconda.org/conda-forge/keras) (π₯ 3.7M Β· β±οΈ 17.08.2024):
+- [Conda](https://anaconda.org/conda-forge/keras) (π₯ 3.7M Β· β±οΈ 07.10.2024):
```
conda install -c conda-forge keras
```
XGBoost (π₯46 Β· β 26K Β· π) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT.. Apache-2
+XGBoost (π₯46 Β· β 26K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
-- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 650 Β· π 8.7K Β· π₯ 11K Β· π¦ 110K Β· π 5.3K - 8% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 650 Β· π 8.7K Β· π₯ 11K Β· π¦ 110K Β· π 5.3K - 8% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/dmlc/xgboost
```
-- [PyPi](https://pypi.org/project/xgboost) (π₯ 25M / month Β· π¦ 2K Β· β±οΈ 31.07.2024):
+- [PyPi](https://pypi.org/project/xgboost) (π₯ 27M / month Β· π¦ 2K Β· β±οΈ 31.07.2024):
```
pip install xgboost
```
@@ -183,69 +183,69 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge xgboost
```
PaddlePaddle (π₯46 Β· β 22K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 
+jax (π₯45 Β· β 30K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.3K Β· π 5.6K Β· π₯ 15K Β· π¦ 6K Β· π 19K - 9% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/jax-ml/jax) (π¨βπ» 760 Β· π 2.8K Β· π¦ 31K Β· π 5.6K - 24% open Β· β±οΈ 10.10.2024):
```
- git clone https://github.com/PaddlePaddle/Paddle
+ git clone https://github.com/google/jax
```
-- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 480K / month Β· π¦ 180 Β· β±οΈ 13.09.2024):
+- [PyPi](https://pypi.org/project/jax) (π₯ 4M / month Β· π¦ 1.9K Β· β±οΈ 04.10.2024):
```
- pip install paddlepaddle
+ pip install jax
+ ```
+- [Conda](https://anaconda.org/conda-forge/jaxlib) (π₯ 1.7M Β· β±οΈ 02.10.2024):
+ ```
+ conda install -c conda-forge jaxlib
```
PySpark (π₯45 Β· β 39K Β· π) - Apache Spark Python API. Apache-2 
+PaddlePaddle (π₯45 Β· β 22K Β· π) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2
-- [GitHub](https://github.com/apache/spark) (π¨βπ» 3.1K Β· π 28K Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.3K Β· π 5.6K Β· π₯ 15K Β· π¦ 6K Β· π 19K - 8% open Β· β±οΈ 10.10.2024):
```
- git clone https://github.com/apache/spark
- ```
-- [PyPi](https://pypi.org/project/pyspark) (π₯ 30M / month Β· π¦ 1.5K Β· β±οΈ 27.09.2024):
- ```
- pip install pyspark
+ git clone https://github.com/PaddlePaddle/Paddle
```
-- [Conda](https://anaconda.org/conda-forge/pyspark) (π₯ 3.4M Β· β±οΈ 03.03.2024):
+- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 380K / month Β· π¦ 180 Β· β±οΈ 13.09.2024):
```
- conda install -c conda-forge pyspark
+ pip install paddlepaddle
```
jax (π₯45 Β· β 30K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
+StatsModels (π₯45 Β· β 10K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
-- [GitHub](https://github.com/jax-ml/jax) (π¨βπ» 760 Β· π 2.7K Β· π¦ 31K Β· π 5.6K - 24% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 440 Β· π 2.9K Β· π₯ 34 Β· π¦ 140K Β· π 5.6K - 50% open Β· β±οΈ 08.10.2024):
```
- git clone https://github.com/google/jax
+ git clone https://github.com/statsmodels/statsmodels
```
-- [PyPi](https://pypi.org/project/jax) (π₯ 3.8M / month Β· π¦ 1.8K Β· β±οΈ 16.09.2024):
+- [PyPi](https://pypi.org/project/statsmodels) (π₯ 17M / month Β· π¦ 4.5K Β· β±οΈ 03.10.2024):
```
- pip install jax
+ pip install statsmodels
```
-- [Conda](https://anaconda.org/conda-forge/jaxlib) (π₯ 1.7M Β· β±οΈ 02.10.2024):
+- [Conda](https://anaconda.org/conda-forge/statsmodels) (π₯ 15M Β· β±οΈ 03.10.2024):
```
- conda install -c conda-forge jaxlib
+ conda install -c conda-forge statsmodels
```
StatsModels (π₯45 Β· β 10K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
+PySpark (π₯44 Β· β 39K Β· π) - Apache Spark Python API. Apache-2
-- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 440 Β· π 2.9K Β· π₯ 34 Β· π¦ 140K Β· π 5.6K - 50% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/apache/spark) (π¨βπ» 3.1K Β· π 28K Β· β±οΈ 10.10.2024):
```
- git clone https://github.com/statsmodels/statsmodels
+ git clone https://github.com/apache/spark
```
-- [PyPi](https://pypi.org/project/statsmodels) (π₯ 17M / month Β· π¦ 4.5K Β· β±οΈ 16.09.2024):
+- [PyPi](https://pypi.org/project/pyspark) (π₯ 30M / month Β· π¦ 1.5K Β· β±οΈ 27.09.2024):
```
- pip install statsmodels
+ pip install pyspark
```
-- [Conda](https://anaconda.org/conda-forge/statsmodels) (π₯ 15M Β· β±οΈ 21.09.2024):
+- [Conda](https://anaconda.org/conda-forge/pyspark) (π₯ 3.5M Β· β±οΈ 03.03.2024):
```
- conda install -c conda-forge statsmodels
+ conda install -c conda-forge pyspark
```
pytorch-lightning (π₯44 Β· β 28K) - Pretrain, finetune and deploy AI models on multiple.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (π¨βπ» 970 Β· π 3.4K Β· π₯ 9.1K Β· π¦ 37K Β· π 7.1K - 10% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (π¨βπ» 970 Β· π 3.4K Β· π₯ 9.2K Β· π¦ 37K Β· π 7.1K - 11% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/Lightning-AI/lightning
@@ -261,28 +261,28 @@ _General-purpose machine learning and deep learning frameworks._
LightGBM (π₯43 Β· β 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
-- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 320 Β· π 3.8K Β· π₯ 240K Β· π¦ 38K Β· π 3.4K - 10% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 320 Β· π 3.8K Β· π₯ 240K Β· π¦ 38K Β· π 3.4K - 10% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/microsoft/LightGBM
```
-- [PyPi](https://pypi.org/project/lightgbm) (π₯ 9.8M / month Β· π¦ 1.1K Β· β±οΈ 26.07.2024):
+- [PyPi](https://pypi.org/project/lightgbm) (π₯ 9.7M / month Β· π¦ 1.1K Β· β±οΈ 26.07.2024):
```
pip install lightgbm
```
-- [Conda](https://anaconda.org/conda-forge/lightgbm) (π₯ 2.7M Β· β±οΈ 12.09.2024):
+- [Conda](https://anaconda.org/conda-forge/lightgbm) (π₯ 2.7M Β· β±οΈ 10.10.2024):
```
conda install -c conda-forge lightgbm
```
Catboost (π₯42 Β· β 8K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
-- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.3K Β· π 1.2K Β· π₯ 310K Β· π¦ 15 Β· π 2.3K - 23% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.3K Β· π 1.2K Β· π₯ 310K Β· π¦ 15 Β· π 2.3K - 23% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/catboost/catboost
```
-- [PyPi](https://pypi.org/project/catboost) (π₯ 3.3M / month Β· π¦ 540 Β· β±οΈ 07.09.2024):
+- [PyPi](https://pypi.org/project/catboost) (π₯ 3.4M / month Β· π¦ 540 Β· β±οΈ 07.09.2024):
```
pip install 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) (π₯ 370K / month Β· π¦ 300 Β· β±οΈ 27.08.2024):
+- [PyPi](https://pypi.org/project/fastai) (π₯ 390K / month Β· π¦ 300 Β· β±οΈ 27.08.2024):
```
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) (π₯ 94K / month Β· π¦ 27 Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/jina) (π₯ 130K / month Β· π¦ 27 Β· β±οΈ 01.10.2024):
```
pip install jina
```
-- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 75K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 76K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge jina-core
```
@@ -325,12 +325,12 @@ _General-purpose machine learning and deep learning frameworks._
PyFlink (π₯38 Β· β 24K) - Apache Flink Python API. Apache-2
-- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.9K Β· π 13K Β· π¦ 21 Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.9K Β· π 13K Β· π¦ 21 Β· β±οΈ 10.10.2024):
```
git clone https://github.com/apache/flink
```
-- [PyPi](https://pypi.org/project/apache-flink) (π₯ 210K / month Β· π¦ 35 Β· β±οΈ 01.08.2024):
+- [PyPi](https://pypi.org/project/apache-flink) (π₯ 220K / month Β· π¦ 35 Β· β±οΈ 01.08.2024):
```
pip install apache-flink
```
@@ -342,55 +342,55 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/Theano/Theano
```
-- [PyPi](https://pypi.org/project/theano) (π₯ 93K / month Β· π¦ 170 Β· β±οΈ 27.07.2020):
+- [PyPi](https://pypi.org/project/theano) (π₯ 95K / month Β· π¦ 170 Β· β±οΈ 27.07.2020):
```
pip install theano
```
-- [Conda](https://anaconda.org/conda-forge/theano) (π₯ 2.4M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/theano) (π₯ 2.5M Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge theano
```
Flax (π₯37 Β· β 6K) - Flax is a neural network library for JAX that is designed for.. Apache-2 
-- [GitHub](https://github.com/google/flax) (π¨βπ» 240 Β· π 620 Β· π₯ 54 Β· π¦ 9.4K Β· π 990 - 26% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/google/flax) (π¨βπ» 240 Β· π 620 Β· π₯ 55 Β· π¦ 9.5K Β· π 1K - 26% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/google/flax
```
-- [PyPi](https://pypi.org/project/flax) (π₯ 790K / month Β· π¦ 470 Β· β±οΈ 27.08.2024):
+- [PyPi](https://pypi.org/project/flax) (π₯ 840K / month Β· π¦ 470 Β· β±οΈ 27.08.2024):
```
pip install flax
```
-- [Conda](https://anaconda.org/conda-forge/flax) (π₯ 72K Β· β±οΈ 27.08.2024):
+- [Conda](https://anaconda.org/conda-forge/flax) (π₯ 73K Β· β±οΈ 27.08.2024):
```
conda install -c conda-forge flax
```
ivy (π₯36 Β· β 14K) - Convert Machine Learning Code Between Frameworks. Apache-2
-- [GitHub](https://github.com/ivy-llc/ivy) (π¨βπ» 1.5K Β· π 5.8K Β· π 17K - 5% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/ivy-llc/ivy) (π¨βπ» 1.5K Β· π 5.8K Β· π 17K - 5% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/unifyai/ivy
```
-- [PyPi](https://pypi.org/project/ivy) (π₯ 3.3K / month Β· π¦ 12 Β· β±οΈ 25.09.2024):
+- [PyPi](https://pypi.org/project/ivy) (π₯ 5.5K / month Β· π¦ 12 Β· β±οΈ 25.09.2024):
```
pip install ivy
```
einops (π₯36 Β· β 8.4K) - Flexible and powerful tensor operations for readable and reliable code.. MIT
-- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 29 Β· π 340 Β· π¦ 46K Β· π 180 - 19% open Β· β±οΈ 21.09.2024):
+- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 29 Β· π 340 Β· π¦ 47K Β· π 180 - 19% open Β· β±οΈ 21.09.2024):
```
git clone https://github.com/arogozhnikov/einops
```
-- [PyPi](https://pypi.org/project/einops) (π₯ 5.1M / month Β· π¦ 2K Β· β±οΈ 28.04.2024):
+- [PyPi](https://pypi.org/project/einops) (π₯ 5.2M / month Β· π¦ 2K Β· β±οΈ 28.04.2024):
```
pip install einops
```
-- [Conda](https://anaconda.org/conda-forge/einops) (π₯ 270K Β· β±οΈ 28.04.2024):
+- [Conda](https://anaconda.org/conda-forge/einops) (π₯ 280K Β· β±οΈ 28.04.2024):
```
conda install -c conda-forge einops
```
@@ -411,52 +411,52 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge thinc
```
mlpack (π₯35 Β· β 5K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
+Vowpal Wabbit (π₯35 Β· β 8.5K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
-- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 320 Β· π 1.6K Β· π 1.6K - 1% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 340 Β· π 1.9K Β· π 1.3K - 10% open Β· β±οΈ 01.08.2024):
```
- git clone https://github.com/mlpack/mlpack
+ git clone https://github.com/VowpalWabbit/vowpal_wabbit
```
-- [PyPi](https://pypi.org/project/mlpack) (π₯ 6.1K / month Β· π¦ 4 Β· β±οΈ 20.09.2024):
+- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 56K / month Β· π¦ 40 Β· β±οΈ 08.08.2024):
```
- pip install mlpack
+ pip install vowpalwabbit
```
-- [Conda](https://anaconda.org/conda-forge/mlpack) (π₯ 250K Β· β±οΈ 22.09.2024):
+- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (π₯ 230K Β· β±οΈ 05.09.2024):
```
- conda install -c conda-forge mlpack
+ conda install -c conda-forge vowpalwabbit
```
Ignite (π₯35 Β· β 4.5K) - High-level library to help with training and evaluating neural.. BSD-3
+mlpack (π₯35 Β· β 5.1K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
-- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 650 Β· π 610 Β· π¦ 3.2K Β· π 1.4K - 10% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 320 Β· π 1.6K Β· π 1.6K - 1% open Β· β±οΈ 10.10.2024):
```
- git clone https://github.com/pytorch/ignite
+ git clone https://github.com/mlpack/mlpack
```
-- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 160K / month Β· π¦ 95 Β· β±οΈ 03.10.2024):
+- [PyPi](https://pypi.org/project/mlpack) (π₯ 8.4K / month Β· π¦ 4 Β· β±οΈ 20.09.2024):
```
- pip install pytorch-ignite
+ pip install mlpack
```
-- [Conda](https://anaconda.org/pytorch/ignite) (π₯ 200K Β· β±οΈ 13.08.2024):
+- [Conda](https://anaconda.org/conda-forge/mlpack) (π₯ 250K Β· β±οΈ 22.09.2024):
```
- conda install -c pytorch ignite
+ conda install -c conda-forge mlpack
```
Vowpal Wabbit (π₯34 Β· β 8.5K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
+Ignite (π₯35 Β· β 4.5K) - High-level library to help with training and evaluating neural.. BSD-3
-- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 340 Β· π 1.9K Β· π 1.3K - 10% open Β· β±οΈ 01.08.2024):
+- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 660 Β· π 610 Β· π¦ 3.3K Β· π 1.4K - 10% open Β· β±οΈ 02.10.2024):
```
- git clone https://github.com/VowpalWabbit/vowpal_wabbit
+ git clone https://github.com/pytorch/ignite
```
-- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 51K / month Β· π¦ 40 Β· β±οΈ 08.08.2024):
+- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 180K / month Β· π¦ 98 Β· β±οΈ 10.10.2024):
```
- pip install vowpalwabbit
+ pip install pytorch-ignite
```
-- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (π₯ 220K Β· β±οΈ 05.09.2024):
+- [Conda](https://anaconda.org/pytorch/ignite) (π₯ 200K Β· β±οΈ 13.08.2024):
```
- conda install -c conda-forge vowpalwabbit
+ conda install -c pytorch ignite
```
Ludwig (π₯33 Β· β 11K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2
@@ -466,7 +466,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/ludwig-ai/ludwig
```
-- [PyPi](https://pypi.org/project/ludwig) (π₯ 4.2K / month Β· π¦ 6 Β· β±οΈ 30.07.2024):
+- [PyPi](https://pypi.org/project/ludwig) (π₯ 4.8K / month Β· π¦ 6 Β· β±οΈ 30.07.2024):
```
pip install ludwig
```
@@ -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) (π₯ 21K / month Β· π¦ 19 Β· β±οΈ 02.01.2024):
+- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 22K / month Β· π¦ 19 Β· β±οΈ 02.01.2024):
```
pip install dm-sonnet
```
@@ -489,12 +489,12 @@ _General-purpose machine learning and deep learning frameworks._
skorch (π₯31 Β· β 5.8K) - A scikit-learn compatible neural network library that wraps.. BSD-3
-- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 62 Β· π 380 Β· π¦ 1.4K Β· π 520 - 11% open Β· β±οΈ 20.09.2024):
+- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 62 Β· π 390 Β· π¦ 1.4K Β· π 520 - 11% open Β· β±οΈ 20.09.2024):
```
git clone https://github.com/skorch-dev/skorch
```
-- [PyPi](https://pypi.org/project/skorch) (π₯ 140K / month Β· π¦ 85 Β· β±οΈ 27.05.2024):
+- [PyPi](https://pypi.org/project/skorch) (π₯ 150K / month Β· π¦ 85 Β· β±οΈ 27.05.2024):
```
pip install skorch
```
@@ -510,31 +510,31 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/clab/dynet
```
-- [PyPi](https://pypi.org/project/dyNET) (π₯ 300K / month Β· π¦ 18 Β· β±οΈ 21.10.2020):
+- [PyPi](https://pypi.org/project/dyNET) (π₯ 310K / month Β· π¦ 18 Β· β±οΈ 21.10.2020):
```
pip install dyNET
```
Determined (π₯31 Β· β 3K) - Determined is an open-source machine learning platform.. Apache-2
-- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 120 Β· π 350 Β· π₯ 12K Β· π 460 - 23% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 120 Β· π 350 Β· π₯ 12K Β· π 460 - 23% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/determined-ai/determined
```
-- [PyPi](https://pypi.org/project/determined) (π₯ 22K / month Β· π¦ 4 Β· β±οΈ 30.09.2024):
+- [PyPi](https://pypi.org/project/determined) (π₯ 29K / month Β· π¦ 4 Β· β±οΈ 30.09.2024):
```
pip install determined
```
tensorflow-upstream (π₯31 Β· β 680) - TensorFlow ROCm port. Apache-2
-- [GitHub](https://github.com/ROCm/tensorflow-upstream) (π¨βπ» 4.7K Β· π 93 Β· π₯ 24 Β· π 380 - 24% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/ROCm/tensorflow-upstream) (π¨βπ» 4.7K Β· π 94 Β· π₯ 24 Β· π 380 - 24% open Β· β±οΈ 01.10.2024):
```
git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
```
-- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 5.4K / month Β· π¦ 9 Β· β±οΈ 10.01.2024):
+- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 6.2K / month Β· π¦ 9 Β· β±οΈ 10.01.2024):
```
pip install tensorflow-rocm
```
@@ -546,7 +546,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/deepmind/dm-haiku
```
-- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 240K / month Β· π¦ 170 Β· β±οΈ 28.02.2024):
+- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 250K / month Β· π¦ 170 Β· β±οΈ 28.02.2024):
```
pip install dm-haiku
```
@@ -557,42 +557,42 @@ _General-purpose machine learning and deep learning frameworks._
Geomstats (π₯30 Β· β 1.2K) - Computations and statistics on manifolds with geometric structures. MIT
-- [GitHub](https://github.com/geomstats/geomstats) (π¨βπ» 92 Β· π 240 Β· π¦ 120 Β· π 560 - 37% open Β· β±οΈ 09.09.2024):
+- [GitHub](https://github.com/geomstats/geomstats) (π¨βπ» 93 Β· π 240 Β· π¦ 120 Β· π 560 - 37% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/geomstats/geomstats
```
-- [PyPi](https://pypi.org/project/geomstats) (π₯ 3.4K / month Β· π¦ 12 Β· β±οΈ 09.09.2024):
+- [PyPi](https://pypi.org/project/geomstats) (π₯ 3.7K / month Β· π¦ 12 Β· β±οΈ 09.09.2024):
```
pip install geomstats
```
-- [Conda](https://anaconda.org/conda-forge/geomstats) (π₯ 3.7K Β· β±οΈ 10.09.2024):
+- [Conda](https://anaconda.org/conda-forge/geomstats) (π₯ 3.8K Β· β±οΈ 10.09.2024):
```
conda install -c conda-forge geomstats
```
Neural Network Libraries (π₯28 Β· β 2.7K) - Neural Network Libraries. Apache-2
+ktrain (π₯29 Β· β 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2
-- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 76 Β· π 330 Β· π₯ 980 Β· π 95 - 36% open Β· β±οΈ 24.09.2024):
+- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 17 Β· π 270 Β· π¦ 560 Β· π 500 - 0% open Β· β±οΈ 09.07.2024):
```
- git clone https://github.com/sony/nnabla
+ git clone https://github.com/amaiya/ktrain
```
-- [PyPi](https://pypi.org/project/nnabla) (π₯ 4.3K / month Β· π¦ 44 Β· β±οΈ 29.05.2024):
+- [PyPi](https://pypi.org/project/ktrain) (π₯ 14K / month Β· π¦ 4 Β· β±οΈ 19.06.2024):
```
- pip install nnabla
+ pip install ktrain
```
ktrain (π₯28 Β· β 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2
+Neural Network Libraries (π₯28 Β· β 2.7K) - Neural Network Libraries. Apache-2
-- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 17 Β· π 270 Β· π¦ 550 Β· π 500 - 0% open Β· β±οΈ 09.07.2024):
+- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 76 Β· π 330 Β· π₯ 980 Β· π 95 - 36% open Β· β±οΈ 24.09.2024):
```
- git clone https://github.com/amaiya/ktrain
+ git clone https://github.com/sony/nnabla
```
-- [PyPi](https://pypi.org/project/ktrain) (π₯ 10K / month Β· π¦ 4 Β· β±οΈ 19.06.2024):
+- [PyPi](https://pypi.org/project/nnabla) (π₯ 7.5K / month Β· π¦ 44 Β· β±οΈ 29.05.2024):
```
- pip install ktrain
+ pip install nnabla
```
EvaDB (π₯27 Β· β 2.6K Β· π€) - Database system for AI-powered apps. Apache-2
@@ -602,46 +602,46 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/georgia-tech-db/eva
```
-- [PyPi](https://pypi.org/project/evadb) (π₯ 700 / month Β· β±οΈ 19.11.2023):
+- [PyPi](https://pypi.org/project/evadb) (π₯ 1.9K / month Β· β±οΈ 19.11.2023):
```
pip install evadb
```
SHOGUN (π₯26 Β· β 3K Β· π€) - Unified and efficient Machine Learning. BSD-3
+pyRiemann (π₯27 Β· β 630 Β· π) - Machine learning for multivariate data through the.. BSD-3
-- [GitHub](https://github.com/shogun-toolbox/shogun) (π¨βπ» 250 Β· π 1K Β· π 1.5K - 27% open Β· β±οΈ 19.12.2023):
+- [GitHub](https://github.com/pyRiemann/pyRiemann) (π¨βπ» 35 Β· π 160 Β· π¦ 400 Β· π 110 - 4% open Β· β±οΈ 05.10.2024):
```
- git clone https://github.com/shogun-toolbox/shogun
+ git clone https://github.com/pyRiemann/pyRiemann
```
-- [Conda](https://anaconda.org/conda-forge/shogun) (π₯ 150K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/pyriemann) (π₯ 38K / month Β· π¦ 28 Β· β±οΈ 03.10.2024):
```
- conda install -c conda-forge shogun
+ pip install pyriemann
```
-- [Docker Hub](https://hub.docker.com/r/shogun/shogun) (π₯ 1.5K Β· β 1 Β· β±οΈ 31.01.2019):
+- [Conda](https://anaconda.org/conda-forge/pyriemann) (π₯ 8.1K Β· β±οΈ 04.10.2024):
```
- docker pull shogun/shogun
+ conda install -c conda-forge pyriemann
```
pyRiemann (π₯25 Β· β 620) - Machine learning for multivariate data through the Riemannian.. BSD-3
+SHOGUN (π₯26 Β· β 3K Β· π€) - Unified and efficient Machine Learning. BSD-3
-- [GitHub](https://github.com/pyRiemann/pyRiemann) (π¨βπ» 35 Β· π 160 Β· π¦ 390 Β· π 110 - 3% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/shogun-toolbox/shogun) (π¨βπ» 250 Β· π 1K Β· π 1.5K - 27% open Β· β±οΈ 19.12.2023):
```
- git clone https://github.com/pyRiemann/pyRiemann
+ git clone https://github.com/shogun-toolbox/shogun
```
-- [PyPi](https://pypi.org/project/pyriemann) (π₯ 34K / month Β· π¦ 28 Β· β±οΈ 10.04.2024):
+- [Conda](https://anaconda.org/conda-forge/shogun) (π₯ 150K Β· β±οΈ 16.06.2023):
```
- pip install pyriemann
+ conda install -c conda-forge shogun
```
-- [Conda](https://anaconda.org/conda-forge/pyriemann) (π₯ 8K Β· β±οΈ 10.04.2024):
+- [Docker Hub](https://hub.docker.com/r/shogun/shogun) (π₯ 1.5K Β· β 1 Β· β±οΈ 31.01.2019):
```
- conda install -c conda-forge pyriemann
+ docker pull shogun/shogun
```
Towhee (π₯24 Β· β 3.2K Β· π€) - Towhee is a framework that is dedicated to making neural data.. Apache-2
+Towhee (π₯25 Β· β 3.2K) - Towhee is a framework that is dedicated to making neural data.. Apache-2
-- [GitHub](https://github.com/towhee-io/towhee) (π¨βπ» 35 Β· π 250 Β· π₯ 2.7K Β· π 660 - 0% open Β· β±οΈ 20.01.2024):
+- [GitHub](https://github.com/towhee-io/towhee) (π¨βπ» 37 Β· π 250 Β· π₯ 2.7K Β· π 660 - 0% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/towhee-io/towhee
@@ -658,111 +658,111 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/google/neural-tangents
```
-- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 2.8K / month Β· π¦ 1 Β· β±οΈ 11.12.2023):
+- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 3.2K / month Β· π¦ 1 Β· β±οΈ 11.12.2023):
```
pip install neural-tangents
```
fklearn (π₯24 Β· β 1.5K) - fklearn: Functional Machine Learning. Apache-2
-- [GitHub](https://github.com/nubank/fklearn) (π¨βπ» 56 Β· π 160 Β· π¦ 14 Β· π 65 - 61% open Β· β±οΈ 14.08.2024):
+- [GitHub](https://github.com/nubank/fklearn) (π¨βπ» 56 Β· π 160 Β· π¦ 15 Β· π 65 - 61% open Β· β±οΈ 14.08.2024):
```
git clone https://github.com/nubank/fklearn
```
-- [PyPi](https://pypi.org/project/fklearn) (π₯ 2K / month Β· β±οΈ 14.08.2024):
+- [PyPi](https://pypi.org/project/fklearn) (π₯ 3K / month Β· β±οΈ 14.08.2024):
```
pip install fklearn
```
Runhouse (π₯24 Β· β 960) - Dispatch and distribute your ML training to serverless clusters in.. Apache-2
-- [GitHub](https://github.com/run-house/runhouse) (π¨βπ» 15 Β· π 35 Β· π₯ 44 Β· π 51 - 17% open Β· β±οΈ 29.09.2024):
+- [GitHub](https://github.com/run-house/runhouse) (π¨βπ» 15 Β· π 35 Β· π₯ 44 Β· π 51 - 17% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/run-house/runhouse
```
-- [PyPi](https://pypi.org/project/runhouse) (π₯ 27K / month Β· π¦ 1 Β· β±οΈ 18.09.2024):
+- [PyPi](https://pypi.org/project/runhouse) (π₯ 21K / month Β· π¦ 1 Β· β±οΈ 18.09.2024):
```
pip install runhouse
```
NeoML (π₯23 Β· β 770) - Machine learning framework for both deep learning and traditional.. Apache-2
-- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 40 Β· π 130 Β· π¦ 1 Β· π 91 - 40% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 40 Β· π 130 Β· π¦ 2 Β· π 91 - 40% open Β· β±οΈ 30.09.2024):
```
git clone https://github.com/neoml-lib/neoml
```
-- [PyPi](https://pypi.org/project/neoml) (π₯ 1.2K / month Β· β±οΈ 26.12.2023):
+- [PyPi](https://pypi.org/project/neoml) (π₯ 2.3K / month Β· β±οΈ 26.12.2023):
```
pip install neoml
```
chefboost (π₯22 Β· β 450) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT
+ThunderSVM (π₯22 Β· β 1.6K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
-- [GitHub](https://github.com/serengil/chefboost) (π¨βπ» 7 Β· π 100 Β· π¦ 59 Β· π 56 - 12% open Β· β±οΈ 12.08.2024):
+- [GitHub](https://github.com/Xtra-Computing/thundersvm) (π¨βπ» 37 Β· π 210 Β· π₯ 2.9K Β· π 230 - 34% open Β· β±οΈ 01.04.2024):
```
- git clone https://github.com/serengil/chefboost
+ git clone https://github.com/Xtra-Computing/thundersvm
```
-- [PyPi](https://pypi.org/project/chefboost) (π₯ 4K / month Β· β±οΈ 08.06.2024):
+- [PyPi](https://pypi.org/project/thundersvm) (π₯ 1.1K / month Β· β±οΈ 13.03.2020):
```
- pip install chefboost
+ pip install thundersvm
```
mace (π₯21 Β· β 4.9K Β· π€) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
+Objax (π₯22 Β· β 770 Β· π€) - Objax is a machine learning framework that provides an Object.. Apache-2
-- [GitHub](https://github.com/XiaoMi/mace) (π¨βπ» 69 Β· π 820 Β· π₯ 1.5K Β· π 680 - 8% open Β· β±οΈ 11.03.2024):
+- [GitHub](https://github.com/google/objax) (π¨βπ» 26 Β· π 78 Β· π¦ 57 Β· π 110 - 45% open Β· β±οΈ 27.01.2024):
```
- git clone https://github.com/XiaoMi/mace
+ git clone https://github.com/google/objax
+ ```
+- [PyPi](https://pypi.org/project/objax) (π₯ 1.1K / month Β· π¦ 4 Β· β±οΈ 06.11.2023):
+ ```
+ pip install objax
```
ThunderSVM (π₯21 Β· β 1.6K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
+Torchbearer (π₯22 Β· β 640 Β· π€) - torchbearer: A model fitting library for PyTorch. MIT
-- [GitHub](https://github.com/Xtra-Computing/thundersvm) (π¨βπ» 37 Β· π 210 Β· π₯ 2.9K Β· π 230 - 34% open Β· β±οΈ 01.04.2024):
+- [GitHub](https://github.com/pytorchbearer/torchbearer) (π¨βπ» 14 Β· π 68 Β· π¦ 91 Β· π 250 - 4% open Β· β±οΈ 04.12.2023):
```
- git clone https://github.com/Xtra-Computing/thundersvm
+ git clone https://github.com/pytorchbearer/torchbearer
```
-- [PyPi](https://pypi.org/project/thundersvm) (π₯ 930 / month Β· β±οΈ 13.03.2020):
+- [PyPi](https://pypi.org/project/torchbearer) (π₯ 1.5K / month Β· π¦ 4 Β· β±οΈ 01.12.2023):
```
- pip install thundersvm
+ pip install torchbearer
```
Objax (π₯21 Β· β 770 Β· π€) - Objax is a machine learning framework that provides an Object.. Apache-2
+chefboost (π₯22 Β· β 450) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT
-- [GitHub](https://github.com/google/objax) (π¨βπ» 26 Β· π 78 Β· π¦ 56 Β· π 110 - 45% open Β· β±οΈ 27.01.2024):
+- [GitHub](https://github.com/serengil/chefboost) (π¨βπ» 7 Β· π 100 Β· π¦ 60 Β· π 56 - 12% open Β· β±οΈ 12.08.2024):
```
- git clone https://github.com/google/objax
+ git clone https://github.com/serengil/chefboost
```
-- [PyPi](https://pypi.org/project/objax) (π₯ 630 / month Β· π¦ 4 Β· β±οΈ 06.11.2023):
+- [PyPi](https://pypi.org/project/chefboost) (π₯ 4.5K / month Β· β±οΈ 08.06.2024):
```
- pip install objax
+ pip install chefboost
```
Torchbearer (π₯21 Β· β 640 Β· π€) - torchbearer: A model fitting library for PyTorch. MIT
+mace (π₯21 Β· β 4.9K Β· π€) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
-- [GitHub](https://github.com/pytorchbearer/torchbearer) (π¨βπ» 14 Β· π 68 Β· π¦ 90 Β· π 250 - 4% open Β· β±οΈ 04.12.2023):
+- [GitHub](https://github.com/XiaoMi/mace) (π¨βπ» 69 Β· π 820 Β· π₯ 1.5K Β· π 680 - 8% open Β· β±οΈ 11.03.2024):
```
- git clone https://github.com/pytorchbearer/torchbearer
- ```
-- [PyPi](https://pypi.org/project/torchbearer) (π₯ 1K / month Β· π¦ 4 Β· β±οΈ 01.12.2023):
- ```
- pip install torchbearer
+ git clone https://github.com/XiaoMi/mace
```
ThunderGBM (π₯18 Β· β 690 Β· π€) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
-- [GitHub](https://github.com/Xtra-Computing/thundergbm) (π¨βπ» 12 Β· π 87 Β· π¦ 3 Β· π 81 - 48% open Β· β±οΈ 29.01.2024):
+- [GitHub](https://github.com/Xtra-Computing/thundergbm) (π¨βπ» 12 Β· π 87 Β· π¦ 4 Β· π 81 - 48% open Β· β±οΈ 29.01.2024):
```
git clone https://github.com/Xtra-Computing/thundergbm
```
-- [PyPi](https://pypi.org/project/thundergbm) (π₯ 690 / month Β· β±οΈ 19.09.2022):
+- [PyPi](https://pypi.org/project/thundergbm) (π₯ 840 / month Β· β±οΈ 19.09.2022):
```
pip install thundergbm
```
@@ -771,18 +771,18 @@ _General-purpose machine learning and deep learning frameworks._
- dlib (π₯40 Β· β 13K) - A toolkit for making real world machine learning and data analysis.. βοΈBSL-1.0
- MXNet (π₯38 Β· β 21K Β· π) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 
MIT
-- MindsDB (π₯33 Β· β 26K) - The platform for building AI from enterprise data. βοΈlibpng-2.0 MIT
+- MindsDB (π₯33 Β· β 27K) - The platform for building AI from enterprise data. βοΈlibpng-2.0 BSD-3
- tensorpack (π₯32 Β· β 6.3K Β· π) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 MIT MIT
- Lasagne (π₯28 Β· β 3.8K Β· π) - Lightweight library to build and train neural networks in Theano. MIT
- NuPIC (π₯27 Β· β 6.3K Β· π) - Numenta Platform for Intelligent Computing is an implementation.. βοΈAGPL-3.0
+- xLearn (π₯25 Β· β 3.1K Β· π) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2
- neon (π₯24 Β· β 3.9K Β· π) - Intel Nervana reference deep learning framework committed to best.. Apache-2
-- xLearn (π₯24 Β· β 3.1K Β· π) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2
- NeuPy (π₯24 Β· β 740 Β· π) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT
-- elegy (π₯19 Β· β 470 Β· π) - A High Level API for Deep Learning in JAX. MIT MIT MIT
- nanodl (π₯16 Β· β 270) - A Jax-based library for designing and training transformer models from.. MIT Matplotlib (π₯48 Β· β 20K) - matplotlib: plotting with Python. βUnlicensed
-- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.7K Β· π 7.6K Β· π¦ 1.4M Β· π 11K - 14% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.7K Β· π 7.6K Β· π¦ 1.4M Β· π 11K - 14% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/matplotlib/matplotlib
```
-- [PyPi](https://pypi.org/project/matplotlib) (π₯ 80M / month Β· π¦ 50K Β· β±οΈ 13.08.2024):
+- [PyPi](https://pypi.org/project/matplotlib) (π₯ 85M / month Β· π¦ 50K Β· β±οΈ 13.08.2024):
```
pip install matplotlib
```
@@ -817,7 +817,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/bokeh/bokeh
```
-- [PyPi](https://pypi.org/project/bokeh) (π₯ 4.4M / month Β· π¦ 1.7K Β· β±οΈ 26.09.2024):
+- [PyPi](https://pypi.org/project/bokeh) (π₯ 4.5M / month Β· π¦ 1.7K Β· β±οΈ 26.09.2024):
```
pip install bokeh
```
@@ -828,7 +828,7 @@ _General-purpose and task-specific data visualization libraries._
Plotly (π₯44 Β· β 16K) - The interactive graphing library for Python This project now includes.. MIT
-- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 270 Β· π 2.5K Β· π¦ 310K Β· π 3K - 17% open Β· β±οΈ 19.09.2024):
+- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 270 Β· π 2.5K Β· π¦ 310K Β· π 3K - 17% open Β· β±οΈ 04.10.2024):
```
git clone https://github.com/plotly/plotly.py
@@ -841,14 +841,14 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge plotly
```
-- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 6.1K / month Β· π¦ 9 Β· β±οΈ 12.01.2021):
+- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 6.2K / month Β· π¦ 9 Β· β±οΈ 12.01.2021):
```
npm install plotlywidget
```
dash (π₯43 Β· β 21K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
-- [GitHub](https://github.com/plotly/dash) (π¨βπ» 160 Β· π 2K Β· π₯ 78 Β· π¦ 70K Β· π 1.8K - 25% open Β· β±οΈ 20.09.2024):
+- [GitHub](https://github.com/plotly/dash) (π¨βπ» 160 Β· π 2.1K Β· π₯ 78 Β· π¦ 70K Β· π 1.8K - 26% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/plotly/dash
@@ -864,7 +864,7 @@ _General-purpose and task-specific data visualization libraries._
Altair (π₯42 Β· β 9.3K) - Declarative statistical visualization library for Python. BSD-3
-- [GitHub](https://github.com/vega/altair) (π¨βπ» 170 Β· π 790 Β· π₯ 190 Β· π¦ 160K Β· π 2K - 9% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/vega/altair) (π¨βπ» 170 Β· π 790 Β· π₯ 190 Β· π¦ 170K Β· π 2K - 9% open Β· β±οΈ 06.10.2024):
```
git clone https://github.com/altair-viz/altair
@@ -896,12 +896,12 @@ _General-purpose and task-specific data visualization libraries._
PyVista (π₯38 Β· β 2.6K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT 
-- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 160 Β· π 480 Β· π₯ 830 Β· π¦ 3.5K Β· π 1.7K - 34% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 160 Β· π 480 Β· π₯ 840 Β· π¦ 3.5K Β· π 1.7K - 34% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/pyvista/pyvista
```
-- [PyPi](https://pypi.org/project/pyvista) (π₯ 280K / month Β· π¦ 530 Β· β±οΈ 20.07.2024):
+- [PyPi](https://pypi.org/project/pyvista) (π₯ 300K / month Β· π¦ 530 Β· β±οΈ 20.07.2024):
```
pip install pyvista
```
@@ -912,19 +912,19 @@ _General-purpose and task-specific data visualization libraries._
pyecharts (π₯37 Β· β 15K) - Python Echarts Plotting Library. MIT
-- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 44 Β· π 2.8K Β· π₯ 69 Β· π¦ 4.5K Β· π 1.9K - 0% open Β· β±οΈ 20.06.2024):
+- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 44 Β· π 2.8K Β· π₯ 70 Β· π¦ 4.5K Β· π 1.9K - 0% open Β· β±οΈ 20.06.2024):
```
git clone https://github.com/pyecharts/pyecharts
```
-- [PyPi](https://pypi.org/project/pyecharts) (π₯ 140K / month Β· π¦ 210 Β· β±οΈ 20.06.2024):
+- [PyPi](https://pypi.org/project/pyecharts) (π₯ 130K / month Β· π¦ 210 Β· β±οΈ 20.06.2024):
```
pip install pyecharts
```
pandas-profiling (π₯37 Β· β 12K) - 1 Line of code data quality profiling & exploratory.. MIT 
-- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 130 Β· π 1.7K Β· π₯ 190 Β· π¦ 4.3K Β· π 810 - 29% open Β· β±οΈ 27.09.2024):
+- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 130 Β· π 1.7K Β· π₯ 190 Β· π¦ 4.3K Β· π 810 - 29% open Β· β±οΈ 04.10.2024):
```
git clone https://github.com/ydataai/pandas-profiling
@@ -933,14 +933,14 @@ _General-purpose and task-specific data visualization libraries._
```
pip install pandas-profiling
```
-- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (π₯ 460K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (π₯ 470K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge pandas-profiling
```
HoloViews (π₯37 Β· β 2.7K) - With Holoviews, your data visualizes itself. BSD-3
-- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 140 Β· π 400 Β· π¦ 12K Β· π 3.3K - 33% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 140 Β· π 400 Β· π¦ 12K Β· π 3.3K - 33% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/holoviz/holoviews
@@ -953,19 +953,19 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge holoviews
```
-- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 290 / month Β· π¦ 5 Β· β±οΈ 01.08.2024):
+- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 260 / month Β· π¦ 5 Β· β±οΈ 01.08.2024):
```
npm install @pyviz/jupyterlab_pyviz
```
FiftyOne (π₯36 Β· β 8.7K) - Visualize, create, and debug image and video datasets.. Apache-2
+FiftyOne (π₯36 Β· β 8.8K) - Visualize, create, and debug image and video datasets.. Apache-2
-- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 130 Β· π 550 Β· π¦ 700 Β· π 1.5K - 31% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 130 Β· π 550 Β· π¦ 710 Β· π 1.6K - 31% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/voxel51/fiftyone
```
-- [PyPi](https://pypi.org/project/fiftyone) (π₯ 73K / month Β· π¦ 22 Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/fiftyone) (π₯ 77K / month Β· π¦ 22 Β· β±οΈ 01.10.2024):
```
pip install fiftyone
```
@@ -977,7 +977,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/pyqtgraph/pyqtgraph
```
-- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 330K / month Β· π¦ 1K Β· β±οΈ 29.04.2024):
+- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 350K / month Β· π¦ 1K Β· β±οΈ 29.04.2024):
```
pip install pyqtgraph
```
@@ -986,40 +986,40 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge pyqtgraph
```
plotnine (π₯35 Β· β 4K) - A Grammar of Graphics for Python. MIT
+VisPy (π₯36 Β· β 3.3K Β· π) - High-performance interactive 2D/3D data visualization library. BSD-3
-- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 110 Β· π 210 Β· π¦ 8.8K Β· π 680 - 13% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 200 Β· π 620 Β· π¦ 1.7K Β· π 1.5K - 24% open Β· β±οΈ 07.10.2024):
```
- git clone https://github.com/has2k1/plotnine
+ git clone https://github.com/vispy/vispy
```
-- [PyPi](https://pypi.org/project/plotnine) (π₯ 3M / month Β· π¦ 310 Β· β±οΈ 09.05.2024):
+- [PyPi](https://pypi.org/project/vispy) (π₯ 450K / month Β· π¦ 170 Β· β±οΈ 17.06.2024):
```
- pip install plotnine
+ pip install vispy
+ ```
+- [Conda](https://anaconda.org/conda-forge/vispy) (π₯ 610K Β· β±οΈ 04.09.2024):
```
-- [Conda](https://anaconda.org/conda-forge/plotnine) (π₯ 400K Β· β±οΈ 20.09.2024):
+ conda install -c conda-forge vispy
```
- conda install -c conda-forge plotnine
+- [npm](https://www.npmjs.com/package/vispy) (π₯ 3 / month Β· π¦ 3 Β· β±οΈ 15.03.2020):
+ ```
+ npm install vispy
```
VisPy (π₯34 Β· β 3.3K) - High-performance interactive 2D/3D data visualization library. BSD-3
+plotnine (π₯35 Β· β 4K) - A Grammar of Graphics for Python. MIT
-- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 200 Β· π 620 Β· π¦ 1.7K Β· π 1.5K - 24% open Β· β±οΈ 23.09.2024):
+- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 110 Β· π 210 Β· π¦ 8.9K Β· π 680 - 13% open Β· β±οΈ 04.10.2024):
```
- git clone https://github.com/vispy/vispy
- ```
-- [PyPi](https://pypi.org/project/vispy) (π₯ 420K / month Β· π¦ 170 Β· β±οΈ 17.06.2024):
- ```
- pip install vispy
+ git clone https://github.com/has2k1/plotnine
```
-- [Conda](https://anaconda.org/conda-forge/vispy) (π₯ 610K Β· β±οΈ 04.09.2024):
+- [PyPi](https://pypi.org/project/plotnine) (π₯ 3.1M / month Β· π¦ 310 Β· β±οΈ 09.05.2024):
```
- conda install -c conda-forge vispy
+ pip install plotnine
```
-- [npm](https://www.npmjs.com/package/vispy) (π₯ 3 / month Β· π¦ 3 Β· β±οΈ 15.03.2020):
+- [Conda](https://anaconda.org/conda-forge/plotnine) (π₯ 410K Β· β±οΈ 20.09.2024):
```
- npm install vispy
+ conda install -c conda-forge plotnine
```
Graphviz (π₯34 Β· β 1.6K) - Simple Python interface for Graphviz. MIT
@@ -1029,7 +1029,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/xflr6/graphviz
```
-- [PyPi](https://pypi.org/project/graphviz) (π₯ 16M / month Β· π¦ 2.6K Β· β±οΈ 21.03.2024):
+- [PyPi](https://pypi.org/project/graphviz) (π₯ 17M / month Β· π¦ 2.6K Β· β±οΈ 21.03.2024):
```
pip install graphviz
```
@@ -1038,14 +1038,30 @@ _General-purpose and task-specific data visualization libraries._
conda install -c anaconda python-graphviz
```
cartopy (π₯34 Β· β 1.4K) - Cartopy - a cartographic python library with matplotlib support. BSD-3
+
+- [GitHub](https://github.com/SciTools/cartopy) (π¨βπ» 130 Β· π 360 Β· π¦ 5.8K Β· π 1.3K - 24% open Β· β±οΈ 08.10.2024):
+
+ ```
+ git clone https://github.com/SciTools/cartopy
+ ```
+- [PyPi](https://pypi.org/project/cartopy) (π₯ 350K / month Β· π¦ 720 Β· β±οΈ 08.10.2024):
+ ```
+ pip install cartopy
+ ```
+- [Conda](https://anaconda.org/conda-forge/cartopy) (π₯ 4.1M Β· β±οΈ 07.10.2024):
+ ```
+ conda install -c conda-forge cartopy
+ ```
+Perspective (π₯33 Β· β 8.4K) - A data visualization and analytics component, especially.. Apache-2
-- [GitHub](https://github.com/finos/perspective) (π¨βπ» 94 Β· π 1.2K Β· π₯ 4.6K Β· π¦ 140 Β· π 810 - 12% open Β· β±οΈ 23.09.2024):
+- [GitHub](https://github.com/finos/perspective) (π¨βπ» 94 Β· π 1.2K Β· π₯ 5.2K Β· π¦ 150 Β· π 810 - 12% open Β· β±οΈ 06.10.2024):
```
git clone https://github.com/finos/perspective
```
-- [PyPi](https://pypi.org/project/perspective-python) (π₯ 18K / month Β· π¦ 26 Β· β±οΈ 23.09.2024):
+- [PyPi](https://pypi.org/project/perspective-python) (π₯ 24K / month Β· π¦ 26 Β· β±οΈ 23.09.2024):
```
pip install perspective-python
```
@@ -1053,7 +1069,7 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge perspective
```
-- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 4.3K / month Β· π¦ 6 Β· β±οΈ 23.09.2024):
+- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 4.4K / month Β· π¦ 6 Β· β±οΈ 23.09.2024):
```
npm install @finos/perspective-jupyterlab
```
@@ -1065,7 +1081,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/lmcinnes/umap
```
-- [PyPi](https://pypi.org/project/umap-learn) (π₯ 1.3M / month Β· π¦ 960 Β· β±οΈ 03.04.2024):
+- [PyPi](https://pypi.org/project/umap-learn) (π₯ 1.4M / month Β· π¦ 960 Β· β±οΈ 03.04.2024):
```
pip install umap-learn
```
@@ -1076,39 +1092,23 @@ _General-purpose and task-specific data visualization libraries._
datashader (π₯33 Β· β 3.3K) - Quickly and accurately render even the largest data. BSD-3
-- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 56 Β· π 360 Β· π¦ 4.8K Β· π 580 - 23% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 56 Β· π 360 Β· π¦ 4.9K Β· π 580 - 23% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/holoviz/datashader
```
-- [PyPi](https://pypi.org/project/datashader) (π₯ 140K / month Β· π¦ 200 Β· β±οΈ 04.07.2024):
+- [PyPi](https://pypi.org/project/datashader) (π₯ 150K / month Β· π¦ 200 Β· β±οΈ 04.07.2024):
```
pip install datashader
```
-- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 1.1M Β· β±οΈ 08.07.2024):
+- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 1.2M Β· β±οΈ 08.07.2024):
```
conda install -c conda-forge datashader
```
cartopy (π₯33 Β· β 1.4K) - Cartopy - a cartographic python library with matplotlib support. BSD-3
-
-- [GitHub](https://github.com/SciTools/cartopy) (π¨βπ» 130 Β· π 360 Β· π¦ 5.7K Β· π 1.3K - 24% open Β· β±οΈ 25.09.2024):
-
- ```
- git clone https://github.com/SciTools/cartopy
- ```
-- [PyPi](https://pypi.org/project/cartopy) (π₯ 320K / month Β· π¦ 710 Β· β±οΈ 10.04.2024):
- ```
- pip install cartopy
- ```
-- [Conda](https://anaconda.org/conda-forge/cartopy) (π₯ 4.1M Β· β±οΈ 12.09.2024):
- ```
- conda install -c conda-forge cartopy
- ```
-wordcloud (π₯32 Β· β 10K) - A little word cloud generator in Python. MIT
-- [GitHub](https://github.com/amueller/word_cloud) (π¨βπ» 72 Β· π 2.3K Β· π¦ 21 Β· π 540 - 23% open Β· β±οΈ 15.09.2024):
+- [GitHub](https://github.com/amueller/word_cloud) (π¨βπ» 72 Β· π 2.3K Β· π¦ 21 Β· π 550 - 23% open Β· β±οΈ 15.09.2024):
```
git clone https://github.com/amueller/word_cloud
@@ -1122,42 +1122,42 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge wordcloud
```
lets-plot (π₯31 Β· β 1.6K) - Multiplatform plotting library based on the Grammar of Graphics. MIT
+hvPlot (π₯32 Β· β 1.1K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3
-- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 21 Β· π 49 Β· π₯ 1.1K Β· π¦ 120 Β· π 610 - 24% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 49 Β· π 110 Β· π¦ 5.9K Β· π 810 - 44% open Β· β±οΈ 09.10.2024):
```
- git clone https://github.com/JetBrains/lets-plot
+ git clone https://github.com/holoviz/hvplot
```
-- [PyPi](https://pypi.org/project/lets-plot) (π₯ 30K / month Β· π¦ 13 Β· β±οΈ 21.08.2024):
+- [PyPi](https://pypi.org/project/hvplot) (π₯ 230K / month Β· π¦ 200 Β· β±οΈ 27.09.2024):
```
- pip install lets-plot
+ pip install hvplot
+ ```
+- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 650K Β· β±οΈ 30.09.2024):
+ ```
+ conda install -c conda-forge hvplot
```
hvPlot (π₯31 Β· β 1.1K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3
+lets-plot (π₯31 Β· β 1.6K) - Multiplatform plotting library based on the Grammar of Graphics. MIT
-- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 49 Β· π 100 Β· π¦ 5.9K Β· π 810 - 44% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 21 Β· π 49 Β· π₯ 1.1K Β· π¦ 130 Β· π 610 - 24% open Β· β±οΈ 10.10.2024):
```
- git clone https://github.com/holoviz/hvplot
- ```
-- [PyPi](https://pypi.org/project/hvplot) (π₯ 220K / month Β· π¦ 200 Β· β±οΈ 27.09.2024):
- ```
- pip install hvplot
+ git clone https://github.com/JetBrains/lets-plot
```
-- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 640K Β· β±οΈ 30.09.2024):
+- [PyPi](https://pypi.org/project/lets-plot) (π₯ 42K / month Β· π¦ 13 Β· β±οΈ 21.08.2024):
```
- conda install -c conda-forge hvplot
+ pip install lets-plot
```
D-Tale (π₯29 Β· β 4.7K) - Visualizer for pandas data structures. βοΈLGPL-2.1
+D-Tale (π₯30 Β· β 4.7K) - Visualizer for pandas data structures. βοΈLGPL-2.1
- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 400 Β· π¦ 1.2K Β· π 590 - 10% open Β· β±οΈ 10.09.2024):
```
git clone https://github.com/man-group/dtale
```
-- [PyPi](https://pypi.org/project/dtale) (π₯ 40K / month Β· π¦ 44 Β· β±οΈ 10.09.2024):
+- [PyPi](https://pypi.org/project/dtale) (π₯ 72K / month Β· π¦ 44 Β· β±οΈ 10.09.2024):
```
pip install dtale
```
@@ -1173,7 +1173,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/bqplot/bqplot
```
-- [PyPi](https://pypi.org/project/bqplot) (π₯ 170K / month Β· π¦ 99 Β· β±οΈ 25.03.2024):
+- [PyPi](https://pypi.org/project/bqplot) (π₯ 190K / month Β· π¦ 99 Β· β±οΈ 25.03.2024):
```
pip install bqplot
```
@@ -1181,19 +1181,19 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge bqplot
```
-- [npm](https://www.npmjs.com/package/bqplot) (π₯ 2.5K / month Β· π¦ 21 Β· β±οΈ 25.03.2024):
+- [npm](https://www.npmjs.com/package/bqplot) (π₯ 2.3K / month Β· π¦ 21 Β· β±οΈ 25.03.2024):
```
npm install bqplot
```
mpld3 (π₯29 Β· β 2.4K Β· π€) - An interactive data visualization tool which brings matplotlib.. BSD-3
-- [GitHub](https://github.com/mpld3/mpld3) (π¨βπ» 52 Β· π 360 Β· π¦ 6.5K Β· π 360 - 59% open Β· β±οΈ 23.12.2023):
+- [GitHub](https://github.com/mpld3/mpld3) (π¨βπ» 52 Β· π 360 Β· π¦ 6.6K Β· π 360 - 59% open Β· β±οΈ 23.12.2023):
```
git clone https://github.com/mpld3/mpld3
```
-- [PyPi](https://pypi.org/project/mpld3) (π₯ 380K / month Β· π¦ 150 Β· β±οΈ 23.12.2023):
+- [PyPi](https://pypi.org/project/mpld3) (π₯ 370K / month Β· π¦ 150 Β· β±οΈ 23.12.2023):
```
pip install mpld3
```
@@ -1201,14 +1201,14 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge mpld3
```
-- [npm](https://www.npmjs.com/package/mpld3) (π₯ 710 / month Β· π¦ 9 Β· β±οΈ 23.12.2023):
+- [npm](https://www.npmjs.com/package/mpld3) (π₯ 760 / month Β· π¦ 9 Β· β±οΈ 23.12.2023):
```
npm install mpld3
```
openTSNE (π₯28 Β· β 1.5K) - Extensible, parallel implementations of t-SNE. BSD-3
-- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 12 Β· π 160 Β· π¦ 880 Β· π 140 - 3% open Β· β±οΈ 13.08.2024):
+- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 12 Β· π 160 Β· π¦ 890 Β· π 140 - 3% open Β· β±οΈ 13.08.2024):
```
git clone https://github.com/pavlin-policar/openTSNE
@@ -1217,14 +1217,14 @@ _General-purpose and task-specific data visualization libraries._
```
pip install opentsne
```
-- [Conda](https://anaconda.org/conda-forge/opentsne) (π₯ 310K Β· β±οΈ 13.09.2024):
+- [Conda](https://anaconda.org/conda-forge/opentsne) (π₯ 320K Β· β±οΈ 13.09.2024):
```
conda install -c conda-forge opentsne
```
Sweetviz (π₯27 Β· β 2.9K Β· π€) - Visualize and compare datasets, target values and associations, with.. MIT
-- [GitHub](https://github.com/fbdesignpro/sweetviz) (π¨βπ» 11 Β· π 270 Β· π¦ 2.5K Β· π 140 - 29% open Β· β±οΈ 29.11.2023):
+- [GitHub](https://github.com/fbdesignpro/sweetviz) (π¨βπ» 11 Β· π 280 Β· π¦ 2.6K Β· π 140 - 31% open Β· β±οΈ 29.11.2023):
```
git clone https://github.com/fbdesignpro/sweetviz
@@ -1233,19 +1233,19 @@ _General-purpose and task-specific data visualization libraries._
```
pip install sweetviz
```
-- [Conda](https://anaconda.org/conda-forge/sweetviz) (π₯ 34K Β· β±οΈ 04.12.2023):
+- [Conda](https://anaconda.org/conda-forge/sweetviz) (π₯ 35K Β· β±οΈ 04.12.2023):
```
conda install -c conda-forge sweetviz
```
HyperTools (π₯26 Β· β 1.8K Β· π€) - A Python toolbox for gaining geometric insights into high-.. MIT
-- [GitHub](https://github.com/ContextLab/hypertools) (π¨βπ» 22 Β· π 160 Β· π₯ 48 Β· π¦ 480 Β· π 200 - 34% open Β· β±οΈ 19.03.2024):
+- [GitHub](https://github.com/ContextLab/hypertools) (π¨βπ» 22 Β· π 160 Β· π₯ 49 Β· π¦ 480 Β· π 200 - 34% open Β· β±οΈ 19.03.2024):
```
git clone https://github.com/ContextLab/hypertools
```
-- [PyPi](https://pypi.org/project/hypertools) (π₯ 1.2K / month Β· π¦ 2 Β· β±οΈ 12.02.2022):
+- [PyPi](https://pypi.org/project/hypertools) (π₯ 1.6K / month Β· π¦ 2 Β· β±οΈ 12.02.2022):
```
pip install hypertools
```
@@ -1257,35 +1257,35 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/AutoViML/AutoViz
```
-- [PyPi](https://pypi.org/project/autoviz) (π₯ 48K / month Β· π¦ 11 Β· β±οΈ 10.06.2024):
+- [PyPi](https://pypi.org/project/autoviz) (π₯ 45K / month Β· π¦ 11 Β· β±οΈ 10.06.2024):
```
pip install autoviz
```
-- [Conda](https://anaconda.org/conda-forge/autoviz) (π₯ 64K Β· β±οΈ 26.04.2024):
+- [Conda](https://anaconda.org/conda-forge/autoviz) (π₯ 65K Β· β±οΈ 26.04.2024):
```
conda install -c conda-forge autoviz
```
data-validation (π₯26 Β· β 760) - Library for exploring and validating machine learning.. Apache-2
-- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 27 Β· π 170 Β· π₯ 860 Β· π 180 - 20% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 27 Β· π 170 Β· π₯ 870 Β· π 180 - 20% open Β· β±οΈ 03.10.2024):
```
git clone https://github.com/tensorflow/data-validation
```
-- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 200K / month Β· π¦ 31 Β· β±οΈ 03.10.2024):
+- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 190K / month Β· π¦ 31 Β· β±οΈ 03.10.2024):
```
pip install tensorflow-data-validation
```
Chartify (π₯24 Β· β 3.5K Β· π€) - Python library that makes it easy for data scientists to create.. Apache-2
-- [GitHub](https://github.com/spotify/chartify) (π¨βπ» 25 Β· π 320 Β· π¦ 78 Β· π 83 - 61% open Β· β±οΈ 12.10.2023):
+- [GitHub](https://github.com/spotify/chartify) (π¨βπ» 25 Β· π 320 Β· π¦ 79 Β· π 83 - 61% open Β· β±οΈ 12.10.2023):
```
git clone https://github.com/spotify/chartify
```
-- [PyPi](https://pypi.org/project/chartify) (π₯ 3K / month Β· π¦ 9 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/chartify) (π₯ 3.5K / month Β· π¦ 9 Β· β±οΈ 12.10.2023):
```
pip install chartify
```
@@ -1305,7 +1305,7 @@ _General-purpose and task-specific data visualization libraries._
```
pip install plotly-resampler
```
-- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (π₯ 68K Β· β±οΈ 29.03.2024):
+- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (π₯ 70K Β· β±οΈ 29.03.2024):
```
conda install -c conda-forge plotly-resampler
```
@@ -1317,11 +1317,11 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/marcharper/python-ternary
```
-- [PyPi](https://pypi.org/project/python-ternary) (π₯ 21K / month Β· π¦ 32 Β· β±οΈ 17.02.2021):
+- [PyPi](https://pypi.org/project/python-ternary) (π₯ 23K / month Β· π¦ 32 Β· β±οΈ 17.02.2021):
```
pip install python-ternary
```
-- [Conda](https://anaconda.org/conda-forge/python-ternary) (π₯ 89K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/python-ternary) (π₯ 90K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge python-ternary
```
@@ -1333,7 +1333,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/vega/ipyvega
```
-- [PyPi](https://pypi.org/project/vega) (π₯ 13K / month Β· π¦ 17 Β· β±οΈ 25.09.2024):
+- [PyPi](https://pypi.org/project/vega) (π₯ 14K / month Β· π¦ 17 Β· β±οΈ 25.09.2024):
```
pip install vega
```
@@ -1342,14 +1342,14 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge vega
```
ivis (π₯24 Β· β 330 Β· π) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
+ivis (π₯24 Β· β 330) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
-- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 43 Β· π¦ 35 Β· π 60 - 5% open Β· β±οΈ 29.09.2024):
+- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 43 Β· π¦ 36 Β· π 60 - 5% open Β· β±οΈ 29.09.2024):
```
git clone https://github.com/beringresearch/ivis
```
-- [PyPi](https://pypi.org/project/ivis) (π₯ 1.5K / month Β· π¦ 2 Β· β±οΈ 13.06.2024):
+- [PyPi](https://pypi.org/project/ivis) (π₯ 1.9K / month Β· π¦ 2 Β· β±οΈ 13.06.2024):
```
pip install ivis
```
@@ -1361,7 +1361,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/DmitryUlyanov/Multicore-TSNE
```
-- [PyPi](https://pypi.org/project/MulticoreTSNE) (π₯ 1.7K / month Β· π¦ 22 Β· β±οΈ 09.01.2019):
+- [PyPi](https://pypi.org/project/MulticoreTSNE) (π₯ 1.8K / month Β· π¦ 22 Β· β±οΈ 09.01.2019):
```
pip install MulticoreTSNE
```
@@ -1377,7 +1377,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/gyli/PyWaffle
```
-- [PyPi](https://pypi.org/project/pywaffle) (π₯ 7.1K / month Β· π¦ 6 Β· β±οΈ 16.06.2024):
+- [PyPi](https://pypi.org/project/pywaffle) (π₯ 7.8K / month Β· π¦ 6 Β· β±οΈ 16.06.2024):
```
pip install pywaffle
```
@@ -1386,18 +1386,18 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge pywaffle
```
animatplot (π₯20 Β· β 410) - A python package for animating plots build on matplotlib. MIT
+animatplot (π₯21 Β· β 410) - A python package for animating plots build on matplotlib. MIT
-- [GitHub](https://github.com/t-makaro/animatplot) (π¨βπ» 7 Β· π 38 Β· π¦ 59 Β· π 37 - 45% open Β· β±οΈ 29.08.2024):
+- [GitHub](https://github.com/t-makaro/animatplot) (π¨βπ» 7 Β· π 38 Β· π¦ 60 Β· π 37 - 45% open Β· β±οΈ 29.08.2024):
```
git clone https://github.com/t-makaro/animatplot
```
-- [PyPi](https://pypi.org/project/animatplot) (π₯ 490 / month Β· π¦ 4 Β· β±οΈ 29.08.2024):
+- [PyPi](https://pypi.org/project/animatplot) (π₯ 990 / month Β· π¦ 4 Β· β±οΈ 29.08.2024):
```
pip install animatplot
```
-- [Conda](https://anaconda.org/conda-forge/animatplot) (π₯ 14K Β· β±οΈ 01.09.2024):
+- [Conda](https://anaconda.org/conda-forge/animatplot) (π₯ 15K Β· β±οΈ 01.09.2024):
```
conda install -c conda-forge animatplot
```
@@ -1409,7 +1409,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/vegafusion/vegafusion
```
-- [PyPi](https://pypi.org/project/vegafusion-jupyter) (π₯ 1.1K / month Β· π¦ 2 Β· β±οΈ 09.05.2024):
+- [PyPi](https://pypi.org/project/vegafusion-jupyter) (π₯ 1.6K / month Β· π¦ 2 Β· β±οΈ 09.05.2024):
```
pip install vegafusion-jupyter
```
@@ -1417,7 +1417,7 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge vegafusion-python-embed
```
-- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (π₯ 170 / month Β· π¦ 3 Β· β±οΈ 09.05.2024):
+- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (π₯ 250 / month Β· π¦ 3 Β· β±οΈ 09.05.2024):
```
npm install vegafusion-jupyter
```
@@ -1431,11 +1431,11 @@ _General-purpose and task-specific data visualization libraries._
- HiPlot (π₯24 Β· β 2.7K Β· π) - HiPlot makes understanding high dimensional data easy. MIT
- PandasGUI (π₯23 Β· β 3.2K Β· π€) - A GUI for Pandas DataFrames. βοΈMIT-0 MIT MIT MIT MIT
- joypy (π₯21 Β· β 560 Β· π) - Joyplots in Python with matplotlib & pandas. MIT
- Popmon (π₯21 Β· β 500 Β· π) - Monitor the stability of a Pandas or Spark dataframe. MIT MIT
+- pdvega (π₯17 Β· β 340 Β· π) - Interactive plotting for Pandas using Vega-Lite. MIT
- data-describe (π₯15 Β· β 300 Β· π) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2
- nx-altair (π₯15 Β· β 220 Β· π) - Draw interactive NetworkX graphs with Altair. MIT Apache-2
@@ -1450,28 +1450,28 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (π₯52 Β· β 130K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
-- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 2.9K Β· π 26K Β· π¦ 220K Β· π 16K - 8% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 2.9K Β· π 27K Β· π¦ 230K Β· π 16K - 8% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/huggingface/transformers
```
-- [PyPi](https://pypi.org/project/transformers) (π₯ 37M / month Β· π¦ 6.3K Β· β±οΈ 26.09.2024):
+- [PyPi](https://pypi.org/project/transformers) (π₯ 38M / month Β· π¦ 6.4K Β· β±οΈ 07.10.2024):
```
pip install transformers
```
-- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 2.1M Β· β±οΈ 28.09.2024):
+- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 2.1M Β· β±οΈ 07.10.2024):
```
conda install -c conda-forge transformers
```
spaCy (π₯45 Β· β 30K Β· π) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
+spaCy (π₯45 Β· β 30K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
-- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 760 Β· π 4.4K Β· π₯ 170 Β· π¦ 100K Β· π 5.7K - 2% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 760 Β· π 4.4K Β· π₯ 200 Β· π¦ 100K Β· π 5.7K - 2% open Β· β±οΈ 01.10.2024):
```
git clone https://github.com/explosion/spaCy
```
-- [PyPi](https://pypi.org/project/spacy) (π₯ 12M / month Β· π¦ 2.7K Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/spacy) (π₯ 13M / month Β· π¦ 2.7K Β· β±οΈ 01.10.2024):
```
pip install spacy
```
@@ -1480,14 +1480,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge spacy
```
nltk (π₯45 Β· β 13K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
+nltk (π₯45 Β· β 14K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
-- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 460 Β· π 2.9K Β· π¦ 310K Β· π 1.8K - 14% open Β· β±οΈ 25.09.2024):
+- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 460 Β· π 2.9K Β· π¦ 310K Β· π 1.8K - 15% open Β· β±οΈ 25.09.2024):
```
git clone https://github.com/nltk/nltk
```
-- [PyPi](https://pypi.org/project/nltk) (π₯ 23M / month Β· π¦ 4.7K Β· β±οΈ 18.08.2024):
+- [PyPi](https://pypi.org/project/nltk) (π₯ 22M / month Β· π¦ 4.7K Β· β±οΈ 18.08.2024):
```
pip install nltk
```
@@ -1496,58 +1496,58 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge nltk
```
litellm (π₯43 Β· β 13K Β· π) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s
+litellm (π₯42 Β· β 13K Β· π) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s
-- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 340 Β· π 1.5K Β· π₯ 470 Β· π¦ 3.6K Β· π 3.3K - 18% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 340 Β· π 1.5K Β· π₯ 420 Β· π¦ 3.7K Β· π 3.4K - 18% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/BerriAI/litellm
```
-- [PyPi](https://pypi.org/project/litellm) (π₯ 2.1M / month Β· π¦ 440 Β· β±οΈ 03.10.2024):
+- [PyPi](https://pypi.org/project/litellm) (π₯ 2.3M / month Β· π¦ 450 Β· β±οΈ 09.10.2024):
```
pip install litellm
```
sentence-transformers (π₯41 Β· β 15K) - State-of-the-Art Text Embeddings. Apache-2
+gensim (π₯40 Β· β 16K) - Topic Modelling for Humans. βοΈLGPL-2.1
-- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 180 Β· π 2.4K Β· π¦ 49K Β· π 2.2K - 53% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/piskvorky/gensim) (π¨βπ» 460 Β· π 4.4K Β· π₯ 4.9K Β· π¦ 65K Β· π 1.8K - 20% open Β· β±οΈ 10.08.2024):
```
- git clone https://github.com/UKPLab/sentence-transformers
+ git clone https://github.com/RaRe-Technologies/gensim
```
-- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 5.4M / month Β· π¦ 1.6K Β· β±οΈ 19.09.2024):
+- [PyPi](https://pypi.org/project/gensim) (π₯ 4.6M / month Β· π¦ 1.4K Β· β±οΈ 19.07.2024):
```
- pip install sentence-transformers
+ pip install gensim
```
-- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 400K Β· β±οΈ 24.09.2024):
+- [Conda](https://anaconda.org/conda-forge/gensim) (π₯ 1.4M Β· β±οΈ 03.09.2024):
```
- conda install -c conda-forge sentence-transformers
+ conda install -c conda-forge gensim
```
gensim (π₯40 Β· β 16K) - Topic Modelling for Humans. βοΈLGPL-2.1
+sentence-transformers (π₯40 Β· β 15K Β· π) - State-of-the-Art Text Embeddings. Apache-2
-- [GitHub](https://github.com/piskvorky/gensim) (π¨βπ» 460 Β· π 4.4K Β· π₯ 4.9K Β· π¦ 65K Β· π 1.8K - 20% open Β· β±οΈ 10.08.2024):
+- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 180 Β· π 2.4K Β· π¦ 50K Β· π 2.2K - 53% open Β· β±οΈ 10.10.2024):
```
- git clone https://github.com/RaRe-Technologies/gensim
+ git clone https://github.com/UKPLab/sentence-transformers
```
-- [PyPi](https://pypi.org/project/gensim) (π₯ 4.5M / month Β· π¦ 1.4K Β· β±οΈ 19.07.2024):
+- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 5.5M / month Β· π¦ 1.6K Β· β±οΈ 19.09.2024):
```
- pip install gensim
+ pip install sentence-transformers
```
-- [Conda](https://anaconda.org/conda-forge/gensim) (π₯ 1.4M Β· β±οΈ 03.09.2024):
+- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 410K Β· β±οΈ 24.09.2024):
```
- conda install -c conda-forge gensim
+ conda install -c conda-forge sentence-transformers
```
Tokenizers (π₯40 Β· β 8.9K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
+Tokenizers (π₯40 Β· β 9K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
-- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 93 Β· π 760 Β· π₯ 65 Β· π¦ 110K Β· π 980 - 3% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 94 Β· π 780 Β· π₯ 65 Β· π¦ 110K Β· π 1K - 4% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/huggingface/tokenizers
```
-- [PyPi](https://pypi.org/project/tokenizers) (π₯ 31M / month Β· π¦ 910 Β· β±οΈ 08.08.2024):
+- [PyPi](https://pypi.org/project/tokenizers) (π₯ 31M / month Β· π¦ 1K Β· β±οΈ 10.10.2024):
```
pip install tokenizers
```
@@ -1563,7 +1563,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/flairNLP/flair
```
-- [PyPi](https://pypi.org/project/flair) (π₯ 93K / month Β· π¦ 140 Β· β±οΈ 25.07.2024):
+- [PyPi](https://pypi.org/project/flair) (π₯ 98K / month Β· π¦ 140 Β· β±οΈ 25.07.2024):
```
pip install flair
```
@@ -1579,35 +1579,51 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/RasaHQ/rasa
```
-- [PyPi](https://pypi.org/project/rasa) (π₯ 150K / month Β· π¦ 60 Β· β±οΈ 18.04.2024):
+- [PyPi](https://pypi.org/project/rasa) (π₯ 160K / month Β· π¦ 60 Β· β±οΈ 18.04.2024):
```
pip install rasa
```
sentencepiece (π₯38 Β· β 10K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
-- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 89 Β· π 1.2K Β· π₯ 44K Β· π¦ 78K Β· π 750 - 4% open Β· β±οΈ 18.08.2024):
+- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 89 Β· π 1.2K Β· π₯ 45K Β· π¦ 79K Β· π 750 - 4% open Β· β±οΈ 18.08.2024):
```
git clone https://github.com/google/sentencepiece
```
-- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 22M / month Β· π¦ 1.7K Β· β±οΈ 19.02.2024):
+- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 23M / month Β· π¦ 1.7K Β· β±οΈ 19.02.2024):
```
pip install sentencepiece
```
-- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 1M Β· β±οΈ 28.09.2024):
+- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 1.1M Β· β±οΈ 28.09.2024):
```
conda install -c conda-forge sentencepiece
```
fairseq (π₯36 Β· β 30K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
+
+- [GitHub](https://github.com/facebookresearch/fairseq) (π¨βπ» 430 Β· π 6.4K Β· π₯ 360 Β· π¦ 3.6K Β· π 4.3K - 29% open Β· β±οΈ 03.10.2024):
+
+ ```
+ git clone https://github.com/facebookresearch/fairseq
+ ```
+- [PyPi](https://pypi.org/project/fairseq) (π₯ 150K / month Β· π¦ 120 Β· β±οΈ 27.06.2022):
+ ```
+ pip install fairseq
+ ```
+- [Conda](https://anaconda.org/conda-forge/fairseq) (π₯ 95K Β· β±οΈ 22.09.2024):
+ ```
+ conda install -c conda-forge fairseq
+ ```
+NeMo (π₯36 Β· β 12K) - A scalable generative AI framework built for researchers and.. Apache-2
-- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 350 Β· π 2.4K Β· π₯ 260K Β· π¦ 21 Β· π 2.4K - 6% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 350 Β· π 2.4K Β· π₯ 270K Β· π¦ 21 Β· π 2.4K - 6% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/NVIDIA/NeMo
```
-- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 130K / month Β· π¦ 13 Β· β±οΈ 15.08.2024):
+- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 140K / month Β· π¦ 13 Β· β±οΈ 15.08.2024):
```
pip install nemo-toolkit
```
@@ -1619,11 +1635,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/sloria/TextBlob
```
-- [PyPi](https://pypi.org/project/textblob) (π₯ 3.1M / month Β· π¦ 390 Β· β±οΈ 15.02.2024):
+- [PyPi](https://pypi.org/project/textblob) (π₯ 1.3M / month Β· π¦ 390 Β· β±οΈ 15.02.2024):
```
pip install textblob
```
-- [Conda](https://anaconda.org/conda-forge/textblob) (π₯ 260K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/textblob) (π₯ 270K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge textblob
```
@@ -1640,25 +1656,9 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install spark-nlp
```
fairseq (π₯35 Β· β 30K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
-
-- [GitHub](https://github.com/facebookresearch/fairseq) (π¨βπ» 430 Β· π 6.4K Β· π₯ 360 Β· π¦ 3.6K Β· π 4.3K - 29% open Β· β±οΈ 27.09.2024):
-
- ```
- git clone https://github.com/facebookresearch/fairseq
- ```
-- [PyPi](https://pypi.org/project/fairseq) (π₯ 150K / month Β· π¦ 120 Β· β±οΈ 27.06.2022):
- ```
- pip install fairseq
- ```
-- [Conda](https://anaconda.org/conda-forge/fairseq) (π₯ 94K Β· β±οΈ 22.09.2024):
- ```
- conda install -c conda-forge fairseq
- ```
-fastText (π₯35 Β· β 26K Β· π€) - Library for fast text representation and classification. MIT
-- [GitHub](https://github.com/facebookresearch/fastText) (π¨βπ» 68 Β· π 4.7K Β· π¦ 6.6K Β· π 1.2K - 47% open Β· β±οΈ 13.03.2024):
+- [GitHub](https://github.com/facebookresearch/fastText) (π¨βπ» 68 Β· π 4.7K Β· π¦ 6.7K Β· π 1.2K - 47% open Β· β±οΈ 13.03.2024):
```
git clone https://github.com/facebookresearch/fastText
@@ -1674,24 +1674,24 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
haystack (π₯35 Β· β 17K) - AI orchestration framework to build customizable, production-ready.. Apache-2
-- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 260 Β· π 1.9K Β· π¦ 540 Β· π 3.5K - 3% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 270 Β· π 1.9K Β· π¦ 550 Β· π 3.5K - 3% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/deepset-ai/haystack
```
-- [PyPi](https://pypi.org/project/haystack) (π₯ 5.9K / month Β· π¦ 5 Β· β±οΈ 15.12.2021):
+- [PyPi](https://pypi.org/project/haystack) (π₯ 6.4K / month Β· π¦ 5 Β· β±οΈ 15.12.2021):
```
pip install haystack
```
stanza (π₯34 Β· β 7.2K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2
+stanza (π₯34 Β· β 7.3K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2
- [GitHub](https://github.com/stanfordnlp/stanza) (π¨βπ» 68 Β· π 880 Β· π¦ 3.1K Β· π 900 - 10% open Β· β±οΈ 12.09.2024):
```
git clone https://github.com/stanfordnlp/stanza
```
-- [PyPi](https://pypi.org/project/stanza) (π₯ 310K / month Β· π¦ 180 Β· β±οΈ 12.09.2024):
+- [PyPi](https://pypi.org/project/stanza) (π₯ 280K / month Β· π¦ 180 Β· β±οΈ 12.09.2024):
```
pip install stanza
```
@@ -1700,18 +1700,18 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c stanfordnlp stanza
```
rubrix (π₯34 Β· β 3.8K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2
+rubrix (π₯34 Β· β 3.9K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2
-- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 96 Β· π 360 Β· π¦ 2.7K Β· π 2.1K - 6% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 96 Β· π 360 Β· π¦ 2.7K Β· π 2.1K - 5% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/recognai/rubrix
```
-- [PyPi](https://pypi.org/project/rubrix) (π₯ 1K / month Β· β±οΈ 24.10.2022):
+- [PyPi](https://pypi.org/project/rubrix) (π₯ 1.8K / month Β· β±οΈ 24.10.2022):
```
pip install rubrix
```
-- [Conda](https://anaconda.org/conda-forge/rubrix) (π₯ 36K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/rubrix) (π₯ 37K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge rubrix
```
@@ -1723,7 +1723,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/jamesturk/jellyfish
```
-- [PyPi](https://pypi.org/project/jellyfish) (π₯ 5.6M / month Β· π¦ 270 Β· β±οΈ 28.07.2024):
+- [PyPi](https://pypi.org/project/jellyfish) (π₯ 5.8M / month Β· π¦ 270 Β· β±οΈ 28.07.2024):
```
pip install jellyfish
```
@@ -1739,14 +1739,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/tensorflow/text
```
-- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 7.2M / month Β· π¦ 220 Β· β±οΈ 30.09.2024):
+- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 7.7M / month Β· π¦ 220 Β· β±οΈ 30.09.2024):
```
pip install tensorflow-text
```
qdrant (π₯33 Β· β 20K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2
-- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 120 Β· π 1.4K Β· π₯ 180K Β· π¦ 110 Β· π 1.3K - 23% open Β· β±οΈ 23.09.2024):
+- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 120 Β· π 1.4K Β· π₯ 210K Β· π¦ 110 Β· π 1.3K - 23% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/qdrant/qdrant
@@ -1754,12 +1754,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
ftfy (π₯33 Β· β 3.8K) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2
-- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 19 Β· π 120 Β· π₯ 14 Β· π¦ 23K Β· π 140 - 9% open Β· β±οΈ 06.08.2024):
+- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 20 Β· π 120 Β· π₯ 15 Β· π¦ 23K Β· π 140 - 8% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/rspeer/python-ftfy
```
-- [PyPi](https://pypi.org/project/ftfy) (π₯ 5.6M / month Β· π¦ 560 Β· β±οΈ 06.08.2024):
+- [PyPi](https://pypi.org/project/ftfy) (π₯ 5.5M / month Β· π¦ 560 Β· β±οΈ 06.08.2024):
```
pip install ftfy
```
@@ -1770,12 +1770,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
ParlAI (π₯32 Β· β 10K Β· π€) - A framework for training and evaluating AI models on a variety of.. MIT
-- [GitHub](https://github.com/facebookresearch/ParlAI) (π¨βπ» 220 Β· π 2.1K Β· π¦ 250 Β· π 1.5K - 3% open Β· β±οΈ 03.11.2023):
+- [GitHub](https://github.com/facebookresearch/ParlAI) (π¨βπ» 220 Β· π 2.1K Β· π¦ 260 Β· π 1.5K - 3% open Β· β±οΈ 03.11.2023):
```
git clone https://github.com/facebookresearch/ParlAI
```
-- [PyPi](https://pypi.org/project/parlai) (π₯ 3.3K / month Β· π¦ 5 Β· β±οΈ 20.09.2022):
+- [PyPi](https://pypi.org/project/parlai) (π₯ 3.8K / month Β· π¦ 5 Β· β±οΈ 20.09.2022):
```
pip install parlai
```
@@ -1787,7 +1787,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/OpenNMT/OpenNMT-py
```
-- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 9.1K / month Β· π¦ 23 Β· β±οΈ 18.03.2024):
+- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 9.8K / month Β· π¦ 23 Β· β±οΈ 18.03.2024):
```
pip install OpenNMT-py
```
@@ -1799,11 +1799,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/dedupeio/dedupe
```
-- [PyPi](https://pypi.org/project/dedupe) (π₯ 120K / month Β· π¦ 19 Β· β±οΈ 15.08.2024):
+- [PyPi](https://pypi.org/project/dedupe) (π₯ 150K / month Β· π¦ 19 Β· β±οΈ 15.08.2024):
```
pip install dedupe
```
-- [Conda](https://anaconda.org/conda-forge/dedupe) (π₯ 74K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/dedupe) (π₯ 75K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge dedupe
```
@@ -1815,7 +1815,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/pytorch/text
```
-- [PyPi](https://pypi.org/project/torchtext) (π₯ 1.2M / month Β· π¦ 280 Β· β±οΈ 24.04.2024):
+- [PyPi](https://pypi.org/project/torchtext) (π₯ 1.4M / month Β· π¦ 280 Β· β±οΈ 24.04.2024):
```
pip install torchtext
```
@@ -1827,23 +1827,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/deepmipt/DeepPavlov
```
-- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 11K / month Β· π¦ 4 Β· β±οΈ 12.08.2024):
+- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 13K / month Β· π¦ 4 Β· β±οΈ 12.08.2024):
```
pip install deeppavlov
```
TextDistance (π₯30 Β· β 3.4K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
-- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 17 Β· π 250 Β· π₯ 1K Β· π¦ 7.1K Β· β±οΈ 09.09.2024):
+- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 17 Β· π 250 Β· π₯ 1K Β· π¦ 7.2K Β· β±οΈ 09.09.2024):
```
git clone https://github.com/life4/textdistance
```
-- [PyPi](https://pypi.org/project/textdistance) (π₯ 900K / month Β· π¦ 99 Β· β±οΈ 16.07.2024):
+- [PyPi](https://pypi.org/project/textdistance) (π₯ 910K / month Β· π¦ 99 Β· β±οΈ 16.07.2024):
```
pip install textdistance
```
-- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 630K Β· β±οΈ 17.07.2024):
+- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 640K Β· β±οΈ 17.07.2024):
```
conda install -c conda-forge textdistance
```
@@ -1855,7 +1855,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/snowballstem/snowball
```
-- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 23M / month Β· π¦ 450 Β· β±οΈ 16.11.2021):
+- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 24M / month Β· π¦ 450 Β· β±οΈ 16.11.2021):
```
pip install snowballstemmer
```
@@ -1871,11 +1871,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/miso-belica/sumy
```
-- [PyPi](https://pypi.org/project/sumy) (π₯ 480K / month Β· π¦ 31 Β· β±οΈ 23.10.2022):
+- [PyPi](https://pypi.org/project/sumy) (π₯ 450K / month Β· π¦ 31 Β· β±οΈ 23.10.2022):
```
pip install sumy
```
-- [Conda](https://anaconda.org/conda-forge/sumy) (π₯ 9.3K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sumy) (π₯ 9.4K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge sumy
```
@@ -1887,7 +1887,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/allenai/scispacy
```
-- [PyPi](https://pypi.org/project/scispacy) (π₯ 22K / month Β· π¦ 34 Β· β±οΈ 08.03.2024):
+- [PyPi](https://pypi.org/project/scispacy) (π₯ 24K / month Β· π¦ 34 Β· β±οΈ 08.03.2024):
```
pip install scispacy
```
@@ -1899,35 +1899,35 @@ _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) (π₯ 550K / month Β· π¦ 87 Β· β±οΈ 25.04.2024):
+- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 560K / month Β· π¦ 87 Β· β±οΈ 25.04.2024):
```
pip install spacy-transformers
```
-- [Conda](https://anaconda.org/conda-forge/spacy-transformers):
+- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (π₯ 66K Β· β±οΈ 19.12.2023):
```
conda install -c conda-forge spacy-transformers
```
CLTK (π₯28 Β· β 840) - The Classical Language Toolkit. MIT
+CLTK (π₯29 Β· β 840) - The Classical Language Toolkit. MIT
-- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 330 Β· π₯ 94 Β· π¦ 270 Β· π 570 - 6% open Β· β±οΈ 12.05.2024):
+- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 330 Β· π₯ 95 Β· π¦ 270 Β· π 570 - 6% open Β· β±οΈ 12.05.2024):
```
git clone https://github.com/cltk/cltk
```
-- [PyPi](https://pypi.org/project/cltk) (π₯ 4.6K / month Β· π¦ 15 Β· β±οΈ 12.05.2024):
+- [PyPi](https://pypi.org/project/cltk) (π₯ 8.8K / month Β· π¦ 15 Β· β±οΈ 12.05.2024):
```
pip install cltk
```
Ciphey (π₯27 Β· β 18K Β· π€) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
+Ciphey (π₯27 Β· β 18K Β· π€) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
- [GitHub](https://github.com/Ciphey/Ciphey) (π¨βπ» 48 Β· π 1.1K Β· π 340 - 21% open Β· β±οΈ 12.10.2023):
```
git clone https://github.com/Ciphey/Ciphey
```
-- [PyPi](https://pypi.org/project/ciphey) (π₯ 45K / month Β· β±οΈ 06.06.2021):
+- [PyPi](https://pypi.org/project/ciphey) (π₯ 50K / month Β· β±οΈ 06.06.2021):
```
pip install ciphey
```
@@ -1936,26 +1936,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
docker pull remnux/ciphey
```
english-words (π₯27 Β· β 11K) - A text file containing 479k English words for all your.. Unlicense
+english-words (π₯27 Β· β 11K) - A text file containing 479k English words for all your.. Unlicense
- [GitHub](https://github.com/dwyl/english-words) (π¨βπ» 32 Β· π 1.8K Β· π¦ 2 Β· π 150 - 75% open Β· β±οΈ 16.06.2024):
```
git clone https://github.com/dwyl/english-words
```
-- [PyPi](https://pypi.org/project/english-words) (π₯ 67K / month Β· π¦ 14 Β· β±οΈ 24.05.2023):
+- [PyPi](https://pypi.org/project/english-words) (π₯ 81K / month Β· π¦ 14 Β· β±οΈ 24.05.2023):
```
pip install english-words
```
DeepKE (π₯27 Β· β 3.4K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT
+DeepKE (π₯27 Β· β 3.5K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT
-- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 31 Β· π 670 Β· π¦ 23 Β· π 560 - 1% open Β· β±οΈ 14.09.2024):
+- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 31 Β· π 670 Β· π¦ 24 Β· π 560 - 1% open Β· β±οΈ 14.09.2024):
```
git clone https://github.com/zjunlp/deepke
```
-- [PyPi](https://pypi.org/project/deepke) (π₯ 2.5K / month Β· β±οΈ 21.09.2023):
+- [PyPi](https://pypi.org/project/deepke) (π₯ 4.1K / month Β· β±οΈ 21.09.2023):
```
pip install deepke
```
@@ -1967,35 +1967,35 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/JasonKessler/scattertext
```
-- [PyPi](https://pypi.org/project/scattertext) (π₯ 17K / month Β· π¦ 5 Β· β±οΈ 23.09.2024):
+- [PyPi](https://pypi.org/project/scattertext) (π₯ 19K / month Β· π¦ 5 Β· β±οΈ 23.09.2024):
```
pip install scattertext
```
-- [Conda](https://anaconda.org/conda-forge/scattertext) (π₯ 98K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/scattertext) (π₯ 99K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge scattertext
```
PyTextRank (π₯26 Β· β 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT
-- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 340 Β· π¦ 720 Β· π 100 - 12% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 340 Β· π¦ 730 Β· π 100 - 12% open Β· β±οΈ 21.05.2024):
```
git clone https://github.com/DerwenAI/pytextrank
```
-- [PyPi](https://pypi.org/project/pytextrank) (π₯ 65K / month Β· π¦ 19 Β· β±οΈ 21.02.2024):
+- [PyPi](https://pypi.org/project/pytextrank) (π₯ 70K / month Β· π¦ 19 Β· β±οΈ 21.02.2024):
```
pip install pytextrank
```
T5 (π₯24 Β· β 6.1K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
+T5 (π₯25 Β· β 6.1K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (π¨βπ» 59 Β· π 750 Β· π 450 - 23% open Β· β±οΈ 28.06.2024):
```
git clone https://github.com/google-research/text-to-text-transfer-transformer
```
-- [PyPi](https://pypi.org/project/t5) (π₯ 58K / month Β· π¦ 2 Β· β±οΈ 18.10.2021):
+- [PyPi](https://pypi.org/project/t5) (π₯ 60K / month Β· π¦ 2 Β· β±οΈ 18.10.2021):
```
pip install t5
```
@@ -2007,47 +2007,59 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/bigscience-workshop/promptsource
```
-- [PyPi](https://pypi.org/project/promptsource) (π₯ 410 / month Β· π¦ 4 Β· β±οΈ 18.04.2022):
+- [PyPi](https://pypi.org/project/promptsource) (π₯ 440 / month Β· π¦ 4 Β· β±οΈ 18.04.2022):
```
pip install promptsource
```
Opik (π₯24 Β· β 1.5K Β· β) - Open-source end-to-end LLM Development Platform. Apache-2
+Opik (π₯24 Β· β 1.6K) - Open-source end-to-end LLM Development Platform. Apache-2
-- [GitHub](https://github.com/comet-ml/opik) (π¨βπ» 23 Β· π 87 Β· π 23 - 30% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/comet-ml/opik) (π¨βπ» 23 Β· π 96 Β· π 20 - 15% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/comet-ml/opik
```
-- [PyPi](https://pypi.org/project/opik) (π₯ 2.5K / month Β· β±οΈ 03.10.2024):
+- [PyPi](https://pypi.org/project/opik) (π₯ 3.2K / month Β· β±οΈ 10.10.2024):
```
pip install opik
```
finetune (π₯23 Β· β 700) - Scikit-learn style model finetuning for NLP. MPL-2.0
+
+- [GitHub](https://github.com/IndicoDataSolutions/finetune) (π¨βπ» 23 Β· π 80 Β· π¦ 13 Β· π 140 - 15% open Β· β±οΈ 23.07.2024):
+
+ ```
+ git clone https://github.com/IndicoDataSolutions/finetune
+ ```
+- [PyPi](https://pypi.org/project/finetune) (π₯ 1.6K / month Β· π¦ 2 Β· β±οΈ 29.09.2023):
+ ```
+ pip install finetune
+ ```
+small-text (π₯23 Β· β 550) - Active Learning for Text Classification in Python. MIT
-- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 7 Β· π 60 Β· π¦ 31 Β· π 57 - 22% open Β· β±οΈ 18.08.2024):
+- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 7 Β· π 60 Β· π¦ 32 Β· π 57 - 22% open Β· β±οΈ 18.08.2024):
```
git clone https://github.com/webis-de/small-text
```
-- [PyPi](https://pypi.org/project/small-text) (π₯ 990 / month Β· β±οΈ 18.08.2024):
+- [PyPi](https://pypi.org/project/small-text) (π₯ 1.6K / month Β· β±οΈ 18.08.2024):
```
pip install small-text
```
-- [Conda](https://anaconda.org/conda-forge/small-text) (π₯ 9.3K Β· β±οΈ 18.08.2024):
+- [Conda](https://anaconda.org/conda-forge/small-text) (π₯ 9.5K Β· β±οΈ 18.08.2024):
```
conda install -c conda-forge small-text
```
happy-transformer (π₯23 Β· β 520 Β· π€) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
-- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 66 Β· π¦ 280 Β· π 130 - 15% open Β· β±οΈ 19.03.2024):
+- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 66 Β· π¦ 290 Β· π 130 - 15% open Β· β±οΈ 19.03.2024):
```
git clone https://github.com/EricFillion/happy-transformer
```
-- [PyPi](https://pypi.org/project/happytransformer) (π₯ 2.3K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
+- [PyPi](https://pypi.org/project/happytransformer) (π₯ 2.9K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
```
pip install happytransformer
```
@@ -2059,7 +2071,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/utterworks/fast-bert
```
-- [PyPi](https://pypi.org/project/fast-bert) (π₯ 1.7K / month Β· β±οΈ 19.08.2024):
+- [PyPi](https://pypi.org/project/fast-bert) (π₯ 4K / month Β· β±οΈ 19.08.2024):
```
pip install fast-bert
```
@@ -2071,43 +2083,31 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/awslabs/sockeye
```
-- [PyPi](https://pypi.org/project/sockeye) (π₯ 2.3K / month Β· β±οΈ 03.03.2023):
+- [PyPi](https://pypi.org/project/sockeye) (π₯ 3.7K / month Β· β±οΈ 03.03.2023):
```
pip install sockeye
```
detoxify (π₯22 Β· β 930) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
+detoxify (π₯22 Β· β 940) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
-- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 12 Β· π 120 Β· π₯ 680K Β· π¦ 690 Β· π 67 - 56% open Β· β±οΈ 19.09.2024):
+- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 12 Β· π 120 Β· π₯ 690K Β· π¦ 700 Β· π 67 - 56% open Β· β±οΈ 19.09.2024):
```
git clone https://github.com/unitaryai/detoxify
```
-- [PyPi](https://pypi.org/project/detoxify) (π₯ 33K / month Β· π¦ 30 Β· β±οΈ 01.02.2024):
+- [PyPi](https://pypi.org/project/detoxify) (π₯ 39K / month Β· π¦ 30 Β· β±οΈ 01.02.2024):
```
pip install detoxify
```
finetune (π₯22 Β· β 700) - Scikit-learn style model finetuning for NLP. MPL-2.0
-
-- [GitHub](https://github.com/IndicoDataSolutions/finetune) (π¨βπ» 23 Β· π 80 Β· π¦ 12 Β· π 140 - 15% open Β· β±οΈ 23.07.2024):
-
- ```
- git clone https://github.com/IndicoDataSolutions/finetune
- ```
-- [PyPi](https://pypi.org/project/finetune) (π₯ 980 / month Β· π¦ 2 Β· β±οΈ 29.09.2023):
- ```
- pip install finetune
- ```
-UForm (π₯20 Β· β 1K Β· π) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2
+UForm (π₯20 Β· β 1K) - Pocket-Sized Multimodal AI for content understanding and generation.. Apache-2
-- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 18 Β· π 61 Β· π₯ 410 Β· π¦ 6 Β· π 30 - 30% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 18 Β· π 62 Β· π₯ 410 Β· π¦ 6 Β· π 30 - 30% open Β· β±οΈ 01.10.2024):
```
git clone https://github.com/unum-cloud/uform
```
-- [PyPi](https://pypi.org/project/uform) (π₯ 1.5K / month Β· π¦ 2 Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/uform) (π₯ 1.9K / month Β· π¦ 2 Β· β±οΈ 01.10.2024):
```
pip install uform
```
@@ -2119,7 +2119,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/dsfsi/textaugment
```
-- [PyPi](https://pypi.org/project/textaugment) (π₯ 5.3K / month Β· π¦ 4 Β· β±οΈ 16.11.2023):
+- [PyPi](https://pypi.org/project/textaugment) (π₯ 5.6K / month Β· π¦ 4 Β· β±οΈ 16.11.2023):
```
pip install textaugment
```
@@ -2132,14 +2132,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
git clone https://github.com/thunlp/OpenNRE
```
VizSeq (π₯15 Β· β 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
+VizSeq (π₯16 Β· β 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
-- [GitHub](https://github.com/facebookresearch/vizseq) (π¨βπ» 4 Β· π 61 Β· π¦ 11 Β· π 16 - 43% open Β· β±οΈ 28.09.2024):
+- [GitHub](https://github.com/facebookresearch/vizseq) (π¨βπ» 4 Β· π 61 Β· π¦ 12 Β· π 16 - 43% open Β· β±οΈ 28.09.2024):
```
git clone https://github.com/facebookresearch/vizseq
```
-- [PyPi](https://pypi.org/project/vizseq) (π₯ 140 / month Β· β±οΈ 07.08.2020):
+- [PyPi](https://pypi.org/project/vizseq) (π₯ 290 / month Β· β±οΈ 07.08.2020):
```
pip install vizseq
```
@@ -2153,29 +2153,29 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
- fastNLP (π₯29 Β· β 3.1K Β· π) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
- GluonNLP (π₯29 Β· β 2.6K Β· π) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 BSD-3
-- vaderSentiment (π₯27 Β· β 4.4K Β· π) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
-- textacy (π₯27 Β· β 2.2K Β· π) - NLP, before and after spaCy. βUnlicensed
-- FARM (π₯27 Β· β 1.7K Β· π) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 βοΈGPL-3.0
-- pySBD (π₯27 Β· β 790 Β· π) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
+- underthesea (π₯28 Β· β 1.4K) - Underthesea - Vietnamese NLP Toolkit. βοΈGPL-3.0
+- vaderSentiment (π₯27 Β· β 4.4K Β· π) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
+- textacy (π₯27 Β· β 2.2K Β· π) - NLP, before and after spaCy. βUnlicensed
+- FARM (π₯27 Β· β 1.7K Β· π) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 MIT
- flashtext (π₯26 Β· β 5.6K Β· π) - Extract Keywords from sentence or Replace keywords in sentences. MIT
+- MatchZoo (π₯26 Β· β 3.8K Β· π) - Facilitating the design, comparison and sharing of deep.. Apache-2 βοΈGPL-3.0
- PyText (π₯25 Β· β 6.3K Β· π) - A natural language modeling framework based on PyTorch. BSD-3 Apache-2
-- MatchZoo (π₯25 Β· β 3.8K Β· π) - Facilitating the design, comparison and sharing of deep.. Apache-2 MIT
+- neuralcoref (π₯25 Β· β 2.9K Β· π) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
- Kashgari (π₯25 Β· β 2.4K Β· π) - Kashgari is a production-level NLP Transfer learning.. Apache-2 BSD-3 MIT Apache-2
- sense2vec (π₯24 Β· β 1.6K Β· π) - Contextually-keyed word vectors. MIT
- whoosh (π₯24 Β· β 570 Β· π) - Pure-Python full-text search library. βοΈBSD-1-Clause
+- Texar (π₯23 Β· β 2.4K Β· π) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 MIT
- YouTokenToMe (π₯23 Β· β 950 Β· π) - Unsupervised text tokenizer focused on computational efficiency. MIT
- gpt-2-simple (π₯22 Β· β 3.4K Β· π) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT Apache-2
- Texthero (π₯22 Β· β 2.9K Β· π) - Text preprocessing, representation and visualization from zero to.. MIT
-- Texar (π₯22 Β· β 2.4K Β· π) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 BSD-3
- anaGo (π₯21 Β· β 1.5K Β· π) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT MIT
@@ -2191,10 +2191,10 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
- skift (π₯17 Β· β 240 Β· π) - scikit-learn wrappers for Python fastText. MIT MIT
- Translate (π₯16 Β· β 820 Β· π) - Translate - a PyTorch Language Library. BSD-3 MIT
- BLINK (π₯15 Β· β 1.2K Β· π) - Entity Linker solution. MIT
- ONNX-T5 (π₯15 Β· β 250 Β· π) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2
- NeuralQA (π₯15 Β· β 230 Β· π) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT
-- Headliner (π₯15 Β· β 230 Β· π) - Easy training and deployment of seq2seq models. MIT
- TransferNLP (π₯14 Β· β 290 Β· π) - NLP library designed for reproducible experimentation.. MIT MIT MIT spacy
@@ -2209,12 +2209,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (π₯48 Β· β 12K) - Python Imaging Library (Fork). βοΈPIL
-- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 480 Β· π 2.2K Β· π¦ 1.8M Β· π 3.2K - 4% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 480 Β· π 2.2K Β· π¦ 1.9M Β· π 3.2K - 4% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/python-pillow/Pillow
```
-- [PyPi](https://pypi.org/project/Pillow) (π₯ 120M / month Β· π¦ 7.7K Β· β±οΈ 01.07.2024):
+- [PyPi](https://pypi.org/project/Pillow) (π₯ 130M / month Β· π¦ 7.7K Β· β±οΈ 01.07.2024):
```
pip install Pillow
```
@@ -2225,7 +2225,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
PyTorch Image Models (π₯42 Β· β 32K) - The largest collection of PyTorch image encoders /.. Apache-2
-- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 150 Β· π 4.7K Β· π₯ 7.1M Β· π¦ 37K Β· π 910 - 5% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 150 Β· π 4.7K Β· π₯ 7.1M Β· π¦ 38K Β· π 920 - 5% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/rwightman/pytorch-image-models
@@ -2250,19 +2250,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
pip install torchvision
```
-- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 1.6M Β· β±οΈ 02.10.2024):
+- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 1.7M Β· β±οΈ 07.10.2024):
```
conda install -c conda-forge torchvision
```
Albumentations (π₯40 Β· β 14K) - Fast and flexible image augmentation library. Paper about.. MIT
-- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 150 Β· π 1.6K Β· π¦ 27K Β· π 1K - 33% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 150 Β· π 1.6K Β· π¦ 28K Β· π 1.1K - 31% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/albumentations-team/albumentations
```
-- [PyPi](https://pypi.org/project/albumentations) (π₯ 4.4M / month Β· π¦ 580 Β· β±οΈ 30.09.2024):
+- [PyPi](https://pypi.org/project/albumentations) (π₯ 4.6M / month Β· π¦ 580 Β· β±οΈ 08.10.2024):
```
pip install albumentations
```
@@ -2273,12 +2273,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
MoviePy (π₯38 Β· β 12K) - Video editing with Python. MIT
-- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 160 Β· π 1.5K Β· π¦ 46K Β· π 1.5K - 30% open Β· β±οΈ 27.05.2024):
+- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 160 Β· π 1.6K Β· π¦ 46K Β· π 1.5K - 31% open Β· β±οΈ 27.05.2024):
```
git clone https://github.com/Zulko/moviepy
```
-- [PyPi](https://pypi.org/project/moviepy) (π₯ 1.3M / month Β· π¦ 940 Β· β±οΈ 15.12.2021):
+- [PyPi](https://pypi.org/project/moviepy) (π₯ 1.4M / month Β· π¦ 940 Β· β±οΈ 15.12.2021):
```
pip install moviepy
```
@@ -2289,28 +2289,44 @@ _Libraries for image & video processing, manipulation, and augmentation as well
deepface (π₯38 Β· β 12K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
-- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 66 Β· π 2K Β· π¦ 4.1K Β· π 1.1K - 0% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 67 Β· π 2K Β· π¦ 4.2K Β· π 1.1K - 0% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/serengil/deepface
```
-- [PyPi](https://pypi.org/project/deepface) (π₯ 95K / month Β· π¦ 42 Β· β±οΈ 17.08.2024):
+- [PyPi](https://pypi.org/project/deepface) (π₯ 110K / month Β· π¦ 44 Β· β±οΈ 17.08.2024):
```
pip install deepface
```
imageio (π₯38 Β· β 1.5K) - Python library for reading and writing image data. BSD-2
+Kornia (π₯38 Β· β 9.9K) - Geometric Computer Vision Library for Spatial AI. Apache-2
-- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 120 Β· π 290 Β· π₯ 1.3K Β· π¦ 140K Β· π 600 - 16% open Β· β±οΈ 19.08.2024):
+- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 270 Β· π 960 Β· π₯ 1.5K Β· π¦ 12K Β· π 950 - 30% open Β· β±οΈ 10.10.2024):
```
- git clone https://github.com/imageio/imageio
+ git clone https://github.com/kornia/kornia
```
-- [PyPi](https://pypi.org/project/imageio) (π₯ 33M / month Β· π¦ 2.4K Β· β±οΈ 19.08.2024):
+- [PyPi](https://pypi.org/project/kornia) (π₯ 1.9M / month Β· π¦ 260 Β· β±οΈ 28.06.2024):
```
- pip install imageio
+ pip install kornia
```
-- [Conda](https://anaconda.org/conda-forge/imageio) (π₯ 7M Β· β±οΈ 19.08.2024):
+- [Conda](https://anaconda.org/conda-forge/kornia) (π₯ 150K Β· β±οΈ 28.06.2024):
+ ```
+ conda install -c conda-forge kornia
+ ```
+imageio (π₯38 Β· β 1.5K) - Python library for reading and writing image data. BSD-2
+
+- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 120 Β· π 290 Β· π₯ 1.3K Β· π¦ 140K Β· π 600 - 16% open Β· β±οΈ 19.08.2024):
+
+ ```
+ git clone https://github.com/imageio/imageio
+ ```
+- [PyPi](https://pypi.org/project/imageio) (π₯ 38M / month Β· π¦ 2.4K Β· β±οΈ 19.08.2024):
+ ```
+ pip install imageio
+ ```
+- [Conda](https://anaconda.org/conda-forge/imageio) (π₯ 7M Β· β±οΈ 19.08.2024):
```
conda install -c conda-forge imageio
```
@@ -2329,32 +2345,16 @@ _Libraries for image & video processing, manipulation, and augmentation as well
InsightFace (π₯37 Β· β 23K) - State-of-the-art 2D and 3D Face Analysis Project. MIT
-- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 61 Β· π 5.4K Β· π₯ 4.8M Β· π¦ 2.8K Β· π 2.5K - 45% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 61 Β· π 5.4K Β· π₯ 4.9M Β· π¦ 2.8K Β· π 2.5K - 45% open Β· β±οΈ 30.09.2024):
```
git clone https://github.com/deepinsight/insightface
```
-- [PyPi](https://pypi.org/project/insightface) (π₯ 290K / month Β· π¦ 30 Β· β±οΈ 17.12.2022):
+- [PyPi](https://pypi.org/project/insightface) (π₯ 280K / month Β· π¦ 30 Β· β±οΈ 17.12.2022):
```
pip install insightface
```
Kornia (π₯37 Β· β 9.8K) - Geometric Computer Vision Library for Spatial AI. Apache-2
-
-- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 270 Β· π 960 Β· π₯ 1.5K Β· π¦ 12K Β· π 940 - 30% open Β· β±οΈ 01.10.2024):
-
- ```
- git clone https://github.com/kornia/kornia
- ```
-- [PyPi](https://pypi.org/project/kornia) (π₯ 1.9M / month Β· π¦ 260 Β· β±οΈ 28.06.2024):
- ```
- pip install kornia
- ```
-- [Conda](https://anaconda.org/conda-forge/kornia) (π₯ 150K Β· β±οΈ 28.06.2024):
- ```
- conda install -c conda-forge kornia
- ```
-opencv-python (π₯35 Β· β 4.5K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 49 Β· π 830 Β· π¦ 450K Β· π 810 - 15% open Β· β±οΈ 24.07.2024):
@@ -2369,7 +2369,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
detectron2 (π₯34 Β· β 30K) - Detectron2 is a platform for object detection, segmentation.. Apache-2
-- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 270 Β· π 7.4K Β· π¦ 2K Β· π 3.6K - 14% open Β· β±οΈ 09.09.2024):
+- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 270 Β· π 7.4K Β· π¦ 2K Β· π 3.6K - 14% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/facebookresearch/detectron2
@@ -2390,47 +2390,47 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/emcconville/wand
```
-- [PyPi](https://pypi.org/project/wand) (π₯ 920K / month Β· π¦ 260 Β· β±οΈ 03.11.2023):
+- [PyPi](https://pypi.org/project/wand) (π₯ 950K / month Β· π¦ 260 Β· β±οΈ 03.11.2023):
```
pip install wand
```
-- [Conda](https://anaconda.org/conda-forge/wand) (π₯ 76K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/wand) (π₯ 77K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge wand
```
PaddleSeg (π₯33 Β· β 8.6K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (π¨βπ» 130 Β· π 1.7K Β· π¦ 1.3K Β· π 2.1K - 11% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (π¨βπ» 130 Β· π 1.7K Β· π¦ 1.3K Β· π 2.1K - 11% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/PaddlePaddle/PaddleSeg
```
-- [PyPi](https://pypi.org/project/paddleseg) (π₯ 1.6K / month Β· π¦ 7 Β· β±οΈ 30.11.2022):
+- [PyPi](https://pypi.org/project/paddleseg) (π₯ 1.5K / month Β· π¦ 7 Β· β±οΈ 30.11.2022):
```
pip install paddleseg
```
vit-pytorch (π₯32 Β· β 20K) - Implementation of Vision Transformer, a simple way to achieve.. MIT
-- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 21 Β· π 3K Β· π¦ 530 Β· π 270 - 48% open Β· β±οΈ 28.08.2024):
+- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 21 Β· π 3K Β· π¦ 530 Β· π 280 - 48% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/lucidrains/vit-pytorch
```
-- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 18K / month Β· π¦ 13 Β· β±οΈ 28.08.2024):
+- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 22K / month Β· π¦ 13 Β· β±οΈ 09.10.2024):
```
pip install vit-pytorch
```
lightly (π₯32 Β· β 3.1K) - A python library for self-supervised learning on images. MIT
-- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 43 Β· π 260 Β· π¦ 320 Β· π 560 - 12% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 53 Β· π 270 Β· π¦ 320 Β· π 570 - 12% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/lightly-ai/lightly
```
-- [PyPi](https://pypi.org/project/lightly) (π₯ 31K / month Β· π¦ 14 Β· β±οΈ 24.09.2024):
+- [PyPi](https://pypi.org/project/lightly) (π₯ 35K / month Β· π¦ 14 Β· β±οΈ 24.09.2024):
```
pip install lightly
```
@@ -2442,18 +2442,18 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/OlafenwaMoses/ImageAI
```
-- [PyPi](https://pypi.org/project/imageai) (π₯ 9.1K / month Β· π¦ 19 Β· β±οΈ 02.01.2023):
+- [PyPi](https://pypi.org/project/imageai) (π₯ 9.2K / month Β· π¦ 19 Β· β±οΈ 02.01.2023):
```
pip install imageai
```
-- [Conda](https://anaconda.org/conda-forge/imageai) (π₯ 7.9K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/imageai) (π₯ 8K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge imageai
```
ImageHash (π₯31 Β· β 3.1K) - A Python Perceptual Image Hashing Module. BSD-2
-- [GitHub](https://github.com/JohannesBuchner/imagehash) (π¨βπ» 26 Β· π 330 Β· π¦ 14K Β· π 140 - 13% open Β· β±οΈ 22.09.2024):
+- [GitHub](https://github.com/JohannesBuchner/imagehash) (π¨βπ» 27 Β· π 330 Β· π¦ 14K Β· π 140 - 13% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/JohannesBuchner/imagehash
@@ -2469,24 +2469,24 @@ _Libraries for image & video processing, manipulation, and augmentation as well
CellProfiler (π₯30 Β· β 900) - An open-source application for biological image analysis. BSD-3
-- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 140 Β· π 380 Β· π₯ 7.8K Β· π¦ 22 Β· π 3.3K - 9% open Β· β±οΈ 24.09.2024):
+- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 140 Β· π 380 Β· π₯ 7.8K Β· π¦ 23 Β· π 3.3K - 9% open Β· β±οΈ 24.09.2024):
```
git clone https://github.com/CellProfiler/CellProfiler
```
-- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 1.4K / month Β· π¦ 2 Β· β±οΈ 16.09.2024):
+- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 2.2K / month Β· π¦ 2 Β· β±οΈ 16.09.2024):
```
pip install cellprofiler
```
PaddleDetection (π₯29 Β· β 13K Β· π) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
+PaddleDetection (π₯29 Β· β 13K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 180 Β· π 2.8K Β· π 5.4K - 22% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 180 Β· π 2.8K Β· π 5.4K - 22% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/PaddlePaddle/PaddleDetection
```
-- [PyPi](https://pypi.org/project/paddledet) (π₯ 450 / month Β· π¦ 2 Β· β±οΈ 19.09.2022):
+- [PyPi](https://pypi.org/project/paddledet) (π₯ 550 / month Β· π¦ 2 Β· β±οΈ 19.09.2022):
```
pip install paddledet
```
@@ -2502,26 +2502,26 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
pip install sahi
```
-- [Conda](https://anaconda.org/conda-forge/sahi) (π₯ 73K Β· β±οΈ 24.07.2024):
+- [Conda](https://anaconda.org/conda-forge/sahi) (π₯ 74K Β· β±οΈ 24.07.2024):
```
conda install -c conda-forge sahi
```
doctr (π₯29 Β· β 3.7K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
-- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 51 Β· π 420 Β· π₯ 3.8M Β· π 370 - 10% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 51 Β· π 420 Β· π₯ 3.9M Β· π 370 - 10% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/mindee/doctr
```
-- [PyPi](https://pypi.org/project/python-doctr) (π₯ 50K / month Β· π¦ 12 Β· β±οΈ 08.08.2024):
+- [PyPi](https://pypi.org/project/python-doctr) (π₯ 52K / month Β· π¦ 12 Β· β±οΈ 08.08.2024):
```
pip install python-doctr
```
vidgear (π₯29 Β· β 3.3K) - A High-performance cross-platform Video Processing Python framework.. Apache-2
-- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 14 Β· π 250 Β· π₯ 1.7K Β· π¦ 610 Β· π 290 - 2% open Β· β±οΈ 22.06.2024):
+- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 14 Β· π 250 Β· π₯ 1.7K Β· π¦ 610 Β· π 300 - 2% open Β· β±οΈ 22.06.2024):
```
git clone https://github.com/abhiTronix/vidgear
@@ -2531,20 +2531,20 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install vidgear
```
mahotas (π₯29 Β· β 840) - Computer Vision in Python. MIT
+mtcnn (π₯29 Β· β 2.2K Β· π) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT
-- [GitHub](https://github.com/luispedro/mahotas) (π¨βπ» 35 Β· π 150 Β· π¦ 1.4K Β· π 91 - 23% open Β· β±οΈ 17.07.2024):
+- [GitHub](https://github.com/ipazc/mtcnn) (π¨βπ» 16 Β· π 530 Β· π¦ 6.2K Β· π 130 - 37% open Β· β±οΈ 08.10.2024):
```
- git clone https://github.com/luispedro/mahotas
+ git clone https://github.com/ipazc/mtcnn
```
-- [PyPi](https://pypi.org/project/mahotas) (π₯ 24K / month Β· π¦ 63 Β· β±οΈ 17.07.2024):
+- [PyPi](https://pypi.org/project/mtcnn) (π₯ 110K / month Β· π¦ 73 Β· β±οΈ 08.10.2024):
```
- pip install mahotas
+ pip install mtcnn
```
-- [Conda](https://anaconda.org/conda-forge/mahotas) (π₯ 500K Β· β±οΈ 18.07.2024):
+- [Conda](https://anaconda.org/conda-forge/mtcnn) (π₯ 13K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge mahotas
+ conda install -c conda-forge mtcnn
```
Face Alignment (π₯28 Β· β 7K) - 2D and 3D Face alignment library build using pytorch. BSD-3
@@ -2554,14 +2554,30 @@ _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) (π₯ 67K / month Β· π¦ 10 Β· β±οΈ 17.08.2023):
+- [PyPi](https://pypi.org/project/face-alignment) (π₯ 64K / month Β· π¦ 10 Β· β±οΈ 17.08.2023):
```
pip install face-alignment
```
mahotas (π₯28 Β· β 840) - Computer Vision in Python. MIT
+
+- [GitHub](https://github.com/luispedro/mahotas) (π¨βπ» 35 Β· π 150 Β· π¦ 1.4K Β· π 91 - 23% open Β· β±οΈ 17.07.2024):
+
+ ```
+ git clone https://github.com/luispedro/mahotas
+ ```
+- [PyPi](https://pypi.org/project/mahotas) (π₯ 27K / month Β· π¦ 63 Β· β±οΈ 17.07.2024):
+ ```
+ pip install mahotas
+ ```
+- [Conda](https://anaconda.org/conda-forge/mahotas) (π₯ 500K Β· β±οΈ 18.07.2024):
+ ```
+ conda install -c conda-forge mahotas
+ ```
+facenet-pytorch (π₯27 Β· β 4.5K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
-- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 18 Β· π 940 Β· π₯ 1.3M Β· π¦ 2.3K Β· π 180 - 40% open Β· β±οΈ 02.08.2024):
+- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 18 Β· π 940 Β· π₯ 1.3M Β· π¦ 2.3K Β· π 180 - 41% open Β· β±οΈ 02.08.2024):
```
git clone https://github.com/timesler/facenet-pytorch
@@ -2573,12 +2589,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pyvips (π₯26 Β· β 640) - python binding for libvips using cffi. MIT
-- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 49 Β· π¦ 800 Β· π 440 - 43% open Β· β±οΈ 21.09.2024):
+- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 49 Β· π¦ 810 Β· π 440 - 42% open Β· β±οΈ 21.09.2024):
```
git clone https://github.com/libvips/pyvips
```
-- [PyPi](https://pypi.org/project/pyvips) (π₯ 69K / month Β· π¦ 77 Β· β±οΈ 28.04.2024):
+- [PyPi](https://pypi.org/project/pyvips) (π₯ 73K / month Β· π¦ 77 Β· β±οΈ 28.04.2024):
```
pip install pyvips
```
@@ -2589,7 +2605,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pytorchvideo (π₯25 Β· β 3.3K) - A deep learning library for video understanding research. Apache-2
-- [GitHub](https://github.com/facebookresearch/pytorchvideo) (π¨βπ» 56 Β· π 400 Β· π 210 - 50% open Β· β±οΈ 13.08.2024):
+- [GitHub](https://github.com/facebookresearch/pytorchvideo) (π¨βπ» 56 Β· π 410 Β· π 210 - 50% open Β· β±οΈ 13.08.2024):
```
git clone https://github.com/facebookresearch/pytorchvideo
@@ -2601,7 +2617,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Norfair (π₯25 Β· β 2.4K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3
-- [GitHub](https://github.com/tryolabs/norfair) (π¨βπ» 31 Β· π 240 Β· π₯ 330 Β· π¦ 220 Β· π 170 - 14% open Β· β±οΈ 27.07.2024):
+- [GitHub](https://github.com/tryolabs/norfair) (π¨βπ» 31 Β· π 240 Β· π₯ 330 Β· π¦ 230 Β· π 170 - 14% open Β· β±οΈ 27.07.2024):
```
git clone https://github.com/tryolabs/norfair
@@ -2613,36 +2629,36 @@ _Libraries for image & video processing, manipulation, and augmentation as well
MMF (π₯24 Β· β 5.5K) - A modular framework for vision & language multimodal research from.. BSD-3
-- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 120 Β· π 920 Β· π¦ 20 Β· π 690 - 21% open Β· β±οΈ 25.05.2024):
+- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 120 Β· π 920 Β· π¦ 21 Β· π 690 - 21% open Β· β±οΈ 25.05.2024):
```
git clone https://github.com/facebookresearch/mmf
```
-- [PyPi](https://pypi.org/project/mmf) (π₯ 670 / month Β· π¦ 1 Β· β±οΈ 12.06.2020):
+- [PyPi](https://pypi.org/project/mmf) (π₯ 1.1K / month Β· π¦ 1 Β· β±οΈ 12.06.2020):
```
pip install mmf
```
segmentation_models (π₯24 Β· β 4.7K) - Segmentation models with pretrained backbones. Keras.. MIT
-- [GitHub](https://github.com/qubvel/segmentation_models) (π¨βπ» 15 Β· π 1K Β· π 530 - 48% open Β· β±οΈ 21.08.2024):
+- [GitHub](https://github.com/qubvel/segmentation_models) (π¨βπ» 15 Β· π 1K Β· π 540 - 50% open Β· β±οΈ 21.08.2024):
```
git clone https://github.com/qubvel/segmentation_models
```
-- [PyPi](https://pypi.org/project/segmentation_models) (π₯ 29K / month Β· π¦ 28 Β· β±οΈ 10.01.2020):
+- [PyPi](https://pypi.org/project/segmentation_models) (π₯ 27K / month Β· π¦ 28 Β· β±οΈ 10.01.2020):
```
pip install segmentation_models
```
ffcv (π₯24 Β· β 2.8K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2
-- [GitHub](https://github.com/libffcv/ffcv) (π¨βπ» 31 Β· π 170 Β· π¦ 53 Β· π 280 - 36% open Β· β±οΈ 06.05.2024):
+- [GitHub](https://github.com/libffcv/ffcv) (π¨βπ» 31 Β· π 170 Β· π¦ 54 Β· π 280 - 36% open Β· β±οΈ 06.05.2024):
```
git clone https://github.com/libffcv/ffcv
```
-- [PyPi](https://pypi.org/project/ffcv) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
+- [PyPi](https://pypi.org/project/ffcv) (π₯ 1K / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
```
pip install ffcv
```
@@ -2661,7 +2677,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
vissl (π₯23 Β· β 3.3K Β· π€) - VISSL is FAIRs library of extensible, modular and scalable.. MIT
-- [GitHub](https://github.com/facebookresearch/vissl) (π¨βπ» 38 Β· π 330 Β· π¦ 51 Β· π 190 - 43% open Β· β±οΈ 03.03.2024):
+- [GitHub](https://github.com/facebookresearch/vissl) (π¨βπ» 38 Β· π 330 Β· π¦ 53 Β· π 190 - 43% open Β· β±οΈ 03.03.2024):
```
git clone https://github.com/facebookresearch/vissl
@@ -2673,47 +2689,47 @@ _Libraries for image & video processing, manipulation, and augmentation as well
kubric (π₯23 Β· β 2.3K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2
-- [GitHub](https://github.com/google-research/kubric) (π¨βπ» 30 Β· π 220 Β· π¦ 6 Β· π 190 - 33% open Β· β±οΈ 27.06.2024):
+- [GitHub](https://github.com/google-research/kubric) (π¨βπ» 30 Β· π 220 Β· π¦ 7 Β· π 190 - 33% open Β· β±οΈ 07.10.2024):
```
git clone https://github.com/google-research/kubric
```
-- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 15K / month Β· β±οΈ 27.12.2023):
+- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 39K / month Β· β±οΈ 27.12.2023):
```
pip install kubric-nightly
```
PySlowFast (π₯21 Β· β 6.5K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
+DEβ«ΆTR (π₯21 Β· β 13K Β· π€) - End-to-End Object Detection with Transformers. Apache-2
-- [GitHub](https://github.com/facebookresearch/SlowFast) (π¨βπ» 33 Β· π 1.2K Β· π¦ 18 Β· π 680 - 57% open Β· β±οΈ 13.08.2024):
+- [GitHub](https://github.com/facebookresearch/detr) (π¨βπ» 27 Β· π 2.4K Β· π¦ 21 Β· π 540 - 47% open Β· β±οΈ 12.03.2024):
```
- git clone https://github.com/facebookresearch/SlowFast
- ```
-- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 58 / month Β· β±οΈ 15.01.2020):
- ```
- pip install pyslowfast
+ git clone https://github.com/facebookresearch/detr
```
DEβ«ΆTR (π₯20 Β· β 13K Β· π€) - End-to-End Object Detection with Transformers. Apache-2
+PySlowFast (π₯21 Β· β 6.6K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
-- [GitHub](https://github.com/facebookresearch/detr) (π¨βπ» 27 Β· π 2.4K Β· π¦ 21 Β· π 540 - 47% open Β· β±οΈ 12.03.2024):
+- [GitHub](https://github.com/facebookresearch/SlowFast) (π¨βπ» 33 Β· π 1.2K Β· π¦ 20 Β· π 680 - 57% open Β· β±οΈ 13.08.2024):
```
- git clone https://github.com/facebookresearch/detr
+ git clone https://github.com/facebookresearch/SlowFast
+ ```
+- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 60 / month Β· β±οΈ 15.01.2020):
+ ```
+ pip install pyslowfast
```
scenic (π₯18 Β· β 3.3K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
-- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 85 Β· π 420 Β· π 270 - 55% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 85 Β· π 420 Β· π 270 - 55% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/google-research/scenic
```
Show 26 hidden projects...
+Show 25 hidden projects...
-- scikit-image (π₯42 Β· β 6.1K) - Image processing in Python. βUnlicensed
+- scikit-image (π₯43 Β· β 6.1K) - Image processing in Python. βUnlicensed
- imgaug (π₯36 Β· β 14K Β· π) - Image augmentation for machine learning experiments. MIT
- glfw (π₯36 Β· β 13K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. βοΈZlib
- Face Recognition (π₯35 Β· β 53K Β· π) - The worlds simplest facial recognition api for Python.. MIT MIT
- GluonCV (π₯29 Β· β 5.8K Β· π) - Gluon CV Toolkit. Apache-2 Apache-2
-- mtcnn (π₯27 Β· β 2.2K Β· π) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT βοΈPIL
- chainercv (π₯27 Β· β 1.5K Β· π) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT
- Augmentor (π₯26 Β· β 5.1K Β· π) - Image augmentation library in Python for machine learning. MIT
@@ -2729,14 +2744,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well
- deep-daze (π₯23 Β· β 4.4K Β· π) - Simple command line tool for text to image generation using.. MIT
- Luminoth (π₯23 Β· β 2.4K Β· π) - Deep Learning toolkit for Computer Vision. BSD-3 MIT Apache-2
+- icevision (π₯22 Β· β 850 Β· π) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2
- Image Super-Resolution (π₯21 Β· β 4.6K Β· π) - Super-scale your images and run experiments with.. Apache-2 Apache-2
- pycls (π₯20 Β· β 2.1K Β· π) - Codebase for Image Classification Research, written in PyTorch. MIT MIT
- detecto (π₯20 Β· β 610 Β· π) - Build fully-functioning computer vision models with PyTorch. MIT MIT
- solt (π₯18 Β· β 260) - Streaming over lightweight data transformations. MIT
-- Caer (π₯17 Β· β 770 Β· π) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT
- Torch Points 3D (π₯17 Β· β 210 Β· π) - Pytorch framework for doing deep learning on point.. BSD-3 MIT huggingface
networkx (π₯43 Β· β 15K Β· π) - Network Analysis in Python. BSD-3
+networkx (π₯43 Β· β 15K) - Network Analysis in Python. BSD-3
-- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 750 Β· π 3.2K Β· π₯ 76 Β· π¦ 300K Β· π 3.4K - 10% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 750 Β· π 3.2K Β· π₯ 76 Β· π¦ 300K Β· π 3.4K - 10% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/networkx/networkx
```
-- [PyPi](https://pypi.org/project/networkx) (π₯ 75M / month Β· π¦ 9.4K Β· β±οΈ 06.04.2024):
+- [PyPi](https://pypi.org/project/networkx) (π₯ 81M / month Β· π¦ 9.5K Β· β±οΈ 06.10.2024):
```
pip install networkx
```
@@ -2766,52 +2781,52 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
PyTorch Geometric (π₯40 Β· β 21K) - Graph Neural Network Library for PyTorch. MIT
-- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 520 Β· π 3.6K Β· π¦ 6.6K Β· π 3.7K - 27% open Β· β±οΈ 24.09.2024):
+- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 520 Β· π 3.6K Β· π¦ 6.6K Β· π 3.7K - 27% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/pyg-team/pytorch_geometric
```
-- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 420K / month Β· π¦ 350 Β· β±οΈ 26.09.2024):
+- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 410K / month Β· π¦ 360 Β· β±οΈ 26.09.2024):
```
pip install torch-geometric
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (π₯ 91K Β· β±οΈ 26.09.2024):
+- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (π₯ 94K Β· β±οΈ 26.09.2024):
```
conda install -c conda-forge pytorch_geometric
```
dgl (π₯39 Β· β 13K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2
-- [GitHub](https://github.com/dmlc/dgl) (π¨βπ» 300 Β· π 3K Β· π¦ 300 Β· π 2.9K - 18% open Β· β±οΈ 25.09.2024):
+- [GitHub](https://github.com/dmlc/dgl) (π¨βπ» 300 Β· π 3K Β· π¦ 310 Β· π 2.9K - 18% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/dmlc/dgl
```
-- [PyPi](https://pypi.org/project/dgl) (π₯ 110K / month Β· π¦ 150 Β· β±οΈ 13.05.2024):
+- [PyPi](https://pypi.org/project/dgl) (π₯ 130K / month Β· π¦ 150 Β· β±οΈ 13.05.2024):
```
pip install dgl
```
pygraphistry (π₯30 Β· β 2.1K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3
+pygraphistry (π₯32 Β· β 2.1K Β· π) - PyGraphistry is a Python library to quickly load,.. BSD-3
-- [GitHub](https://github.com/graphistry/pygraphistry) (π¨βπ» 44 Β· π 200 Β· π¦ 120 Β· π 330 - 51% open Β· β±οΈ 23.09.2024):
+- [GitHub](https://github.com/graphistry/pygraphistry) (π¨βπ» 45 Β· π 200 Β· π¦ 120 Β· π 340 - 51% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/graphistry/pygraphistry
```
-- [PyPi](https://pypi.org/project/graphistry) (π₯ 5.5K / month Β· π¦ 6 Β· β±οΈ 23.09.2024):
+- [PyPi](https://pypi.org/project/graphistry) (π₯ 9.9K / month Β· π¦ 6 Β· β±οΈ 10.10.2024):
```
pip install graphistry
```
PyKEEN (π₯30 Β· β 1.6K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
-- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 41 Β· π 180 Β· π₯ 210 Β· π¦ 240 Β· π 580 - 20% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 41 Β· π 180 Β· π₯ 210 Β· π¦ 240 Β· π 580 - 20% open Β· β±οΈ 07.10.2024):
```
git clone https://github.com/pykeen/pykeen
```
-- [PyPi](https://pypi.org/project/pykeen) (π₯ 8.9K / month Β· π¦ 6 Β· β±οΈ 19.02.2024):
+- [PyPi](https://pypi.org/project/pykeen) (π₯ 9.8K / month Β· π¦ 6 Β· β±οΈ 19.02.2024):
```
pip install pykeen
```
@@ -2823,11 +2838,11 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/snap-stanford/ogb
```
-- [PyPi](https://pypi.org/project/ogb) (π₯ 92K / month Β· π¦ 22 Β· β±οΈ 02.11.2022):
+- [PyPi](https://pypi.org/project/ogb) (π₯ 81K / month Β· π¦ 22 Β· β±οΈ 02.11.2022):
```
pip install ogb
```
-- [Conda](https://anaconda.org/conda-forge/ogb) (π₯ 37K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ogb) (π₯ 38K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge ogb
```
@@ -2839,19 +2854,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/danielegrattarola/spektral
```
-- [PyPi](https://pypi.org/project/spektral) (π₯ 13K / month Β· π¦ 7 Β· β±οΈ 21.01.2024):
+- [PyPi](https://pypi.org/project/spektral) (π₯ 12K / month Β· π¦ 7 Β· β±οΈ 21.01.2024):
```
pip install spektral
```
AmpliGraph (π₯25 Β· β 2.1K Β· π€) - Python library for Representation Learning on Knowledge.. Apache-2
+AmpliGraph (π₯26 Β· β 2.1K Β· π€) - Python library for Representation Learning on Knowledge.. Apache-2
-- [GitHub](https://github.com/Accenture/AmpliGraph) (π¨βπ» 21 Β· π 250 Β· π¦ 55 Β· π 240 - 17% open Β· β±οΈ 28.02.2024):
+- [GitHub](https://github.com/Accenture/AmpliGraph) (π¨βπ» 21 Β· π 250 Β· π¦ 56 Β· π 240 - 17% open Β· β±οΈ 28.02.2024):
```
git clone https://github.com/Accenture/AmpliGraph
```
-- [PyPi](https://pypi.org/project/ampligraph) (π₯ 880 / month Β· π¦ 2 Β· β±οΈ 26.02.2024):
+- [PyPi](https://pypi.org/project/ampligraph) (π₯ 1.5K / month Β· π¦ 2 Β· β±οΈ 26.02.2024):
```
pip install ampligraph
```
@@ -2879,7 +2894,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/facebookresearch/PyTorch-BigGraph
```
-- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 420K / month Β· π¦ 2 Β· β±οΈ 14.10.2019):
+- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 430K / month Β· π¦ 2 Β· β±οΈ 14.10.2019):
```
pip install torchbiggraph
```
@@ -2891,7 +2906,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/rusty1s/pytorch_cluster
```
-- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 14K / month Β· π¦ 62 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 16K / month Β· π¦ 62 Β· β±οΈ 12.10.2023):
```
pip install torch-cluster
```
@@ -2900,26 +2915,26 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
conda install -c conda-forge pytorch_cluster
```
deepsnap (π₯20 Β· β 540 Β· π€) - Python library assists deep learning on graphs. MIT
+deepsnap (π₯20 Β· β 550 Β· π€) - Python library assists deep learning on graphs. MIT
- [GitHub](https://github.com/snap-stanford/deepsnap) (π¨βπ» 18 Β· π 57 Β· π₯ 13 Β· π¦ 110 Β· π 50 - 50% open Β· β±οΈ 11.11.2023):
```
git clone https://github.com/snap-stanford/deepsnap
```
-- [PyPi](https://pypi.org/project/deepsnap) (π₯ 420 / month Β· π¦ 2 Β· β±οΈ 05.09.2021):
+- [PyPi](https://pypi.org/project/deepsnap) (π₯ 600 / month Β· π¦ 2 Β· β±οΈ 05.09.2021):
```
pip install deepsnap
```
Sematch (π₯18 Β· β 430 Β· π€) - semantic similarity framework for knowledge graph. Apache-2
-- [GitHub](https://github.com/gsi-upm/sematch) (π¨βπ» 10 Β· π 100 Β· π¦ 47 Β· π 34 - 44% open Β· β±οΈ 07.11.2023):
+- [GitHub](https://github.com/gsi-upm/sematch) (π¨βπ» 10 Β· π 100 Β· π¦ 48 Β· π 34 - 44% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/gsi-upm/sematch
```
-- [PyPi](https://pypi.org/project/sematch) (π₯ 530 / month Β· β±οΈ 17.04.2017):
+- [PyPi](https://pypi.org/project/sematch) (π₯ 550 / month Β· β±οΈ 17.04.2017):
```
pip install sematch
```
@@ -2931,14 +2946,14 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/vaticle/kglib
```
-- [PyPi](https://pypi.org/project/grakn-kglib) (π₯ 230 / month Β· β±οΈ 19.08.2020):
+- [PyPi](https://pypi.org/project/grakn-kglib) (π₯ 370 / month Β· β±οΈ 19.08.2020):
```
pip install grakn-kglib
```
AutoGL (π₯16 Β· β 1.1K Β· π€) - An autoML framework & toolkit for machine learning on graphs. Apache-2
-- [GitHub](https://github.com/THUMNLab/AutoGL) (π¨βπ» 15 Β· π 120 Β· π 39 - 35% open Β· β±οΈ 05.02.2024):
+- [GitHub](https://github.com/THUMNLab/AutoGL) (π¨βπ» 16 Β· π 120 Β· π 39 - 35% open Β· β±οΈ 05.02.2024):
```
git clone https://github.com/THUMNLab/AutoGL
@@ -2977,13 +2992,13 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
- pytorch_geometric_temporal (π₯24 Β· β 2.6K Β· π) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT βοΈGPL-3.0
- jraph (π₯23 Β· β 1.4K Β· π) - A Graph Neural Network Library in Jax. Apache-2 Apache-2 Apache-2 Apache-2 MIT
- DeepWalk (π₯20 Β· β 2.7K Β· π) - DeepWalk - Deep Learning for Graphs. βοΈGPL-3.0
- DIG (π₯20 Β· β 1.9K Β· π€) - A library for graph deep learning research. βοΈGPL-3.0
+- GraphGym (π₯19 Β· β 1.7K Β· π) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT
- DeepGraph (π₯19 Β· β 280 Β· π€) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 MIT
- Euler (π₯16 Β· β 2.9K Β· π) - A distributed graph deep learning framework. Apache-2 MIT MIT speechbrain (π₯40 Β· β 8.6K) - A PyTorch-based Speech Toolkit. Apache-2
+speechbrain (π₯40 Β· β 8.7K) - A PyTorch-based Speech Toolkit. Apache-2
-- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 240 Β· π 1.4K Β· π¦ 2.3K Β· π 1.1K - 12% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 240 Β· π 1.4K Β· π¦ 2.3K Β· π 1.1K - 12% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/speechbrain/speechbrain
@@ -3010,26 +3025,26 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
pip install speechbrain
```
espnet (π₯38 Β· β 8.3K) - End-to-End Speech Processing Toolkit. Apache-2
+espnet (π₯38 Β· β 8.4K) - End-to-End Speech Processing Toolkit. Apache-2
-- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 450 Β· π 2.2K Β· π₯ 82 Β· π¦ 370 Β· π 2.4K - 14% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 450 Β· π 2.2K Β· π₯ 82 Β· π¦ 380 Β· π 2.4K - 14% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/espnet/espnet
```
-- [PyPi](https://pypi.org/project/espnet) (π₯ 30K / month Β· π¦ 12 Β· β±οΈ 06.02.2024):
+- [PyPi](https://pypi.org/project/espnet) (π₯ 33K / month Β· π¦ 12 Β· β±οΈ 06.02.2024):
```
pip install espnet
```
Coqui TTS (π₯35 Β· β 34K Β· π€) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
-- [GitHub](https://github.com/coqui-ai/TTS) (π¨βπ» 170 Β· π 4.1K Β· π₯ 3.3M Β· π¦ 1.7K Β· π 1.1K - 7% open Β· β±οΈ 10.02.2024):
+- [GitHub](https://github.com/coqui-ai/TTS) (π¨βπ» 170 Β· π 4.2K Β· π₯ 3.3M Β· π¦ 1.8K Β· π 1.1K - 7% open Β· β±οΈ 10.02.2024):
```
git clone https://github.com/coqui-ai/TTS
```
-- [PyPi](https://pypi.org/project/tts) (π₯ 110K / month Β· π¦ 53 Β· β±οΈ 12.12.2023):
+- [PyPi](https://pypi.org/project/tts) (π₯ 120K / month Β· π¦ 53 Β· β±οΈ 12.12.2023):
```
pip install tts
```
@@ -3045,7 +3060,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/pytorch/audio
```
-- [PyPi](https://pypi.org/project/torchaudio) (π₯ 5.4M / month Β· π¦ 1.3K Β· β±οΈ 04.09.2024):
+- [PyPi](https://pypi.org/project/torchaudio) (π₯ 5.5M / month Β· π¦ 1.3K Β· β±οΈ 04.09.2024):
```
pip install torchaudio
```
@@ -3068,16 +3083,16 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
librosa (π₯33 Β· β 7.1K) - Python library for audio and music analysis. ISC
-- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 120 Β· π 960 Β· π 1.2K - 4% open Β· β±οΈ 09.09.2024):
+- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 120 Β· π 960 Β· π 1.2K - 4% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/librosa/librosa
```
-- [PyPi](https://pypi.org/project/librosa) (π₯ 2.9M / month Β· π¦ 1.4K Β· β±οΈ 14.05.2024):
+- [PyPi](https://pypi.org/project/librosa) (π₯ 2.8M / month Β· π¦ 1.4K Β· β±οΈ 14.05.2024):
```
pip install librosa
```
-- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 810K Β· β±οΈ 15.05.2024):
+- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 820K Β· β±οΈ 15.05.2024):
```
conda install -c conda-forge librosa
```
@@ -3089,14 +3104,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/magenta/magenta
```
-- [PyPi](https://pypi.org/project/magenta) (π₯ 6.1K / month Β· π¦ 5 Β· β±οΈ 01.08.2022):
+- [PyPi](https://pypi.org/project/magenta) (π₯ 7K / month Β· π¦ 5 Β· β±οΈ 01.08.2022):
```
pip install magenta
```
audiomentations (π₯31 Β· β 1.8K Β· π) - A Python library for audio data augmentation. Inspired by.. MIT
+audiomentations (π₯31 Β· β 1.8K) - A Python library for audio data augmentation. Inspired by.. MIT
-- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 29 Β· π 190 Β· π¦ 570 Β· π 180 - 25% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 29 Β· π 190 Β· π¦ 580 Β· π 180 - 25% open Β· β±οΈ 07.10.2024):
```
git clone https://github.com/iver56/audiomentations
@@ -3113,7 +3128,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/Picovoice/Porcupine
```
-- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 11K / month Β· π¦ 35 Β· β±οΈ 27.08.2024):
+- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 12K / month Β· π¦ 35 Β· β±οΈ 27.08.2024):
```
pip install pvporcupine
```
@@ -3129,19 +3144,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
pip install audioread
```
-- [Conda](https://anaconda.org/conda-forge/audioread) (π₯ 870K Β· β±οΈ 03.09.2024):
+- [Conda](https://anaconda.org/conda-forge/audioread) (π₯ 880K Β· β±οΈ 03.09.2024):
```
conda install -c conda-forge audioread
```
pyAudioAnalysis (π₯28 Β· β 5.8K Β· π€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
-- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 28 Β· π 1.2K Β· π¦ 510 Β· π 320 - 62% open Β· β±οΈ 22.10.2023):
+- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 28 Β· π 1.2K Β· π¦ 520 Β· π 320 - 62% open Β· β±οΈ 22.10.2023):
```
git clone https://github.com/tyiannak/pyAudioAnalysis
```
-- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 16K / month Β· π¦ 12 Β· β±οΈ 07.02.2022):
+- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 15K / month Β· π¦ 12 Β· β±οΈ 07.02.2022):
```
pip install pyAudioAnalysis
```
@@ -3153,7 +3168,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/bastibe/python-soundfile
```
-- [PyPi](https://pypi.org/project/soundfile) (π₯ 5.8M / month Β· π¦ 780 Β· β±οΈ 15.02.2023):
+- [PyPi](https://pypi.org/project/soundfile) (π₯ 5.7M / month Β· π¦ 780 Β· β±οΈ 15.02.2023):
```
pip install soundfile
```
@@ -3169,19 +3184,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/CPJKU/madmom
```
-- [PyPi](https://pypi.org/project/madmom) (π₯ 3K / month Β· π¦ 27 Β· β±οΈ 14.11.2018):
+- [PyPi](https://pypi.org/project/madmom) (π₯ 2.6K / month Β· π¦ 27 Β· β±οΈ 14.11.2018):
```
pip install madmom
```
DDSP (π₯24 Β· β 2.9K) - DDSP: Differentiable Digital Signal Processing. Apache-2
-- [GitHub](https://github.com/magenta/ddsp) (π¨βπ» 32 Β· π 320 Β· π¦ 58 Β· π 170 - 28% open Β· β±οΈ 23.09.2024):
+- [GitHub](https://github.com/magenta/ddsp) (π¨βπ» 32 Β· π 320 Β· π¦ 60 Β· π 170 - 28% open Β· β±οΈ 23.09.2024):
```
git clone https://github.com/magenta/ddsp
```
-- [PyPi](https://pypi.org/project/ddsp) (π₯ 2.9K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
+- [PyPi](https://pypi.org/project/ddsp) (π₯ 4.5K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
```
pip install ddsp
```
@@ -3197,7 +3212,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/devsnd/tinytag
```
-- [PyPi](https://pypi.org/project/tinytag) (π₯ 27K / month Β· π¦ 110 Β· β±οΈ 26.10.2023):
+- [PyPi](https://pypi.org/project/tinytag) (π₯ 28K / month Β· π¦ 110 Β· β±οΈ 26.10.2023):
```
pip install tinytag
```
@@ -3228,7 +3243,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
- TimeSide (π₯22 Β· β 370 Β· π) - scalable audio processing framework and server written in.. βοΈAGPL-3.0
- Julius (π₯21 Β· β 420 Β· π) - Fast PyTorch based DSP for audio and 1D signals. MIT ISC
-- textlesslib (π₯10 Β· β 520 Β· π) - Library for Textless Spoken Language Processing. MIT MIT
@@ -3240,12 +3255,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (π₯43 Β· β 12K) - WebGL2 powered visualization framework. MIT
-- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 270 Β· π 2.1K Β· π¦ 8.1K Β· π 3.1K - 11% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 270 Β· π 2.1K Β· π¦ 8.1K Β· π 3.1K - 11% open Β· β±οΈ 04.10.2024):
```
git clone https://github.com/visgl/deck.gl
```
-- [PyPi](https://pypi.org/project/pydeck) (π₯ 5.3M / month Β· π¦ 120 Β· β±οΈ 10.05.2024):
+- [PyPi](https://pypi.org/project/pydeck) (π₯ 5.5M / month Β· π¦ 120 Β· β±οΈ 10.05.2024):
```
pip install pydeck
```
@@ -3253,19 +3268,19 @@ _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) (π₯ 580K / month Β· π¦ 300 Β· β±οΈ 02.10.2024):
+- [npm](https://www.npmjs.com/package/deck.gl) (π₯ 580K / month Β· π¦ 300 Β· β±οΈ 08.10.2024):
```
npm install deck.gl
```
Shapely (π₯41 Β· β 3.8K) - Manipulation and analysis of geometric objects. BSD-3
+Shapely (π₯40 Β· β 3.9K Β· π) - Manipulation and analysis of geometric objects. BSD-3
- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 160 Β· π 560 Β· π₯ 3.7K Β· π¦ 81K Β· π 1.2K - 23% open Β· β±οΈ 02.10.2024):
```
git clone https://github.com/shapely/shapely
```
-- [PyPi](https://pypi.org/project/shapely) (π₯ 33M / month Β· π¦ 2.9K Β· β±οΈ 19.08.2024):
+- [PyPi](https://pypi.org/project/shapely) (π₯ 34M / month Β· π¦ 2.9K Β· β±οΈ 19.08.2024):
```
pip install shapely
```
@@ -3276,12 +3291,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
GeoPandas (π₯39 Β· β 4.5K) - Python tools for geographic data. BSD-3
-- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 230 Β· π 920 Β· π₯ 2.7K Β· π¦ 41K Β· π 1.7K - 25% open Β· β±οΈ 24.09.2024):
+- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 230 Β· π 920 Β· π₯ 2.7K Β· π¦ 42K Β· π 1.7K - 25% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/geopandas/geopandas
```
-- [PyPi](https://pypi.org/project/geopandas) (π₯ 7.3M / month Β· π¦ 2.8K Β· β±οΈ 02.07.2024):
+- [PyPi](https://pypi.org/project/geopandas) (π₯ 7.8M / month Β· π¦ 2.8K Β· β±οΈ 02.07.2024):
```
pip install geopandas
```
@@ -3292,7 +3307,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
folium (π₯38 Β· β 6.9K) - Python Data. Leaflet.js Maps. MIT
-- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 170 Β· π 2.2K Β· π¦ 43K Β· π 1.1K - 7% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 170 Β· π 2.2K Β· π¦ 44K Β· π 1.1K - 7% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/python-visualization/folium
@@ -3308,12 +3323,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Rasterio (π₯38 Β· β 2.2K) - Rasterio reads and writes geospatial raster datasets. BSD-3
-- [GitHub](https://github.com/rasterio/rasterio) (π¨βπ» 160 Β· π 530 Β· π₯ 960 Β· π¦ 13K Β· π 1.8K - 7% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/rasterio/rasterio) (π¨βπ» 160 Β· π 530 Β· π₯ 970 Β· π¦ 13K Β· π 1.8K - 7% open Β· β±οΈ 07.10.2024):
```
git clone https://github.com/rasterio/rasterio
```
-- [PyPi](https://pypi.org/project/rasterio) (π₯ 3.3M / month Β· π¦ 1.4K Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/rasterio) (π₯ 3.5M / month Β· π¦ 1.4K Β· β±οΈ 01.10.2024):
```
pip install rasterio
```
@@ -3324,12 +3339,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
ArcGIS API (π₯37 Β· β 1.9K) - Documentation and samples for ArcGIS API for Python. Apache-2
-- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 92 Β· π 1.1K Β· π₯ 12K Β· π¦ 830 Β· π 760 - 8% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 92 Β· π 1.1K Β· π₯ 12K Β· π¦ 840 Β· π 760 - 8% open Β· β±οΈ 02.10.2024):
```
git clone https://github.com/Esri/arcgis-python-api
```
-- [PyPi](https://pypi.org/project/arcgis) (π₯ 75K / month Β· π¦ 40 Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/arcgis) (π₯ 78K / month Β· π¦ 40 Β· β±οΈ 01.10.2024):
```
pip install arcgis
```
@@ -3345,7 +3360,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/Toblerity/Fiona
```
-- [PyPi](https://pypi.org/project/fiona) (π₯ 5.2M / month Β· π¦ 270 Β· β±οΈ 16.09.2024):
+- [PyPi](https://pypi.org/project/fiona) (π₯ 5.3M / month Β· π¦ 270 Β· β±οΈ 16.09.2024):
```
pip install fiona
```
@@ -3356,12 +3371,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pyproj (π₯36 Β· β 1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT
-- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 66 Β· π 210 Β· π¦ 34K Β· π 620 - 5% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 66 Β· π 210 Β· π¦ 34K Β· π 620 - 5% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/pyproj4/pyproj
```
-- [PyPi](https://pypi.org/project/pyproj) (π₯ 9.2M / month Β· π¦ 1.7K Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/pyproj) (π₯ 9.6M / month Β· π¦ 1.7K Β· β±οΈ 01.10.2024):
```
pip install pyproj
```
@@ -3372,12 +3387,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
geopy (π₯33 Β· β 4.4K Β· π€) - Geocoding library for Python. MIT
-- [GitHub](https://github.com/geopy/geopy) (π¨βπ» 130 Β· π 640 Β· π₯ 83 Β· π 290 - 13% open Β· β±οΈ 23.11.2023):
+- [GitHub](https://github.com/geopy/geopy) (π¨βπ» 130 Β· π 640 Β· π₯ 84 Β· π 290 - 13% open Β· β±οΈ 23.11.2023):
```
git clone https://github.com/geopy/geopy
```
-- [PyPi](https://pypi.org/project/geopy) (π₯ 6.2M / month Β· π¦ 890 Β· β±οΈ 23.11.2023):
+- [PyPi](https://pypi.org/project/geopy) (π₯ 6.3M / month Β· π¦ 900 Β· β±οΈ 23.11.2023):
```
pip install geopy
```
@@ -3388,7 +3403,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
ipyleaflet (π₯33 Β· β 1.5K) - A Jupyter - Leaflet.js bridge. MIT
-- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 90 Β· π 360 Β· π¦ 11K Β· π 650 - 44% open Β· β±οΈ 22.07.2024):
+- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 90 Β· π 360 Β· π¦ 12K Β· π 650 - 44% open Β· β±οΈ 22.07.2024):
```
git clone https://github.com/jupyter-widgets/ipyleaflet
@@ -3401,14 +3416,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
conda install -c conda-forge ipyleaflet
```
-- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 7.8K / month Β· π¦ 9 Β· β±οΈ 22.07.2024):
+- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 7.4K / month Β· π¦ 9 Β· β±οΈ 22.07.2024):
```
npm install jupyter-leaflet
```
PySAL (π₯32 Β· β 1.3K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
-- [GitHub](https://github.com/pysal/pysal) (π¨βπ» 79 Β· π 300 Β· π¦ 1.7K Β· π 650 - 2% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/pysal/pysal) (π¨βπ» 79 Β· π 300 Β· π¦ 1.7K Β· π 650 - 2% open Β· β±οΈ 07.10.2024):
```
git clone https://github.com/pysal/pysal
@@ -3422,30 +3437,30 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge pysal
```
geojson (π₯29 Β· β 910) - Python bindings and utilities for GeoJSON. BSD-3
+geojson (π₯30 Β· β 910) - Python bindings and utilities for GeoJSON. BSD-3
-- [GitHub](https://github.com/jazzband/geojson) (π¨βπ» 56 Β· π 120 Β· π¦ 18K Β· π 100 - 26% open Β· β±οΈ 08.08.2024):
+- [GitHub](https://github.com/jazzband/geojson) (π¨βπ» 58 Β· π 120 Β· π¦ 18K Β· π 100 - 25% open Β· β±οΈ 04.10.2024):
```
git clone https://github.com/jazzband/geojson
```
-- [PyPi](https://pypi.org/project/geojson) (π₯ 3M / month Β· π¦ 700 Β· β±οΈ 05.11.2023):
+- [PyPi](https://pypi.org/project/geojson) (π₯ 3.1M / month Β· π¦ 700 Β· β±οΈ 05.11.2023):
```
pip install geojson
```
-- [Conda](https://anaconda.org/conda-forge/geojson) (π₯ 850K Β· β±οΈ 06.11.2023):
+- [Conda](https://anaconda.org/conda-forge/geojson) (π₯ 860K Β· β±οΈ 06.11.2023):
```
conda install -c conda-forge geojson
```
GeoViews (π₯29 Β· β 590) - Simple, concise geographical visualization in Python. BSD-3
-- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 32 Β· π 75 Β· π¦ 1.1K Β· π 340 - 29% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 32 Β· π 75 Β· π¦ 1.1K Β· π 340 - 29% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/holoviz/geoviews
```
-- [PyPi](https://pypi.org/project/geoviews) (π₯ 14K / month Β· π¦ 59 Β· β±οΈ 16.09.2024):
+- [PyPi](https://pypi.org/project/geoviews) (π₯ 17K / month Β· π¦ 59 Β· β±οΈ 16.09.2024):
```
pip install geoviews
```
@@ -3476,8 +3491,8 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
- Satpy (π₯32 Β· β 1.1K) - Python package for earth-observing satellite data processing. βοΈGPL-3.0
- Sentinelsat (π₯27 Β· β 980 Β· π€) - Search and download Copernicus Sentinel satellite images. βοΈGPL-3.0
- EarthPy (π₯26 Β· β 500 Β· π) - A package built to support working with spatial data using open.. BSD-3
+- prettymaps (π₯24 Β· β 11K) - A small set of Python functions to draw pretty maps from.. βοΈAGPL-3.0
- Mapbox GL (π₯24 Β· β 660 Β· π) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT βοΈAGPL-3.0
- gmaps (π₯22 Β· β 760 Β· π) - Google maps for Jupyter notebooks. BSD-3 MIT
yfinance (π₯41 Β· β 13K) - Download market data from Yahoo! Finances API. Apache-2
-- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 120 Β· π 2.3K Β· π¦ 48K Β· π 1.4K - 13% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 120 Β· π 2.3K Β· π¦ 48K Β· π 1.4K - 13% open Β· β±οΈ 07.10.2024):
```
git clone https://github.com/ranaroussi/yfinance
```
-- [PyPi](https://pypi.org/project/yfinance) (π₯ 2.2M / month Β· π¦ 660 Β· β±οΈ 30.09.2024):
+- [PyPi](https://pypi.org/project/yfinance) (π₯ 2.3M / month Β· π¦ 660 Β· β±οΈ 30.09.2024):
```
pip install yfinance
```
@@ -3512,11 +3527,11 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/pmorissette/bt
```
-- [PyPi](https://pypi.org/project/bt) (π₯ 7.9K / month Β· π¦ 10 Β· β±οΈ 06.08.2024):
+- [PyPi](https://pypi.org/project/bt) (π₯ 9.3K / month Β· π¦ 10 Β· β±οΈ 06.08.2024):
```
pip install bt
```
-- [Conda](https://anaconda.org/conda-forge/bt) (π₯ 45K Β· β±οΈ 21.09.2024):
+- [Conda](https://anaconda.org/conda-forge/bt) (π₯ 46K Β· β±οΈ 21.09.2024):
```
conda install -c conda-forge bt
```
@@ -3528,23 +3543,23 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/microsoft/qlib
```
-- [PyPi](https://pypi.org/project/pyqlib) (π₯ 3.3K / month Β· π¦ 1 Β· β±οΈ 24.05.2024):
+- [PyPi](https://pypi.org/project/pyqlib) (π₯ 4.8K / month Β· π¦ 1 Β· β±οΈ 24.05.2024):
```
pip install pyqlib
```
ta (π₯29 Β· β 4.3K Β· π€) - Technical Analysis Library using Pandas and Numpy. MIT
-- [GitHub](https://github.com/bukosabino/ta) (π¨βπ» 34 Β· π 870 Β· π¦ 4.2K Β· π 240 - 56% open Β· β±οΈ 02.11.2023):
+- [GitHub](https://github.com/bukosabino/ta) (π¨βπ» 34 Β· π 890 Β· π¦ 4.2K Β· π 240 - 57% open Β· β±οΈ 02.11.2023):
```
git clone https://github.com/bukosabino/ta
```
-- [PyPi](https://pypi.org/project/ta) (π₯ 190K / month Β· π¦ 100 Β· β±οΈ 02.11.2023):
+- [PyPi](https://pypi.org/project/ta) (π₯ 190K / month Β· π¦ 110 Β· β±οΈ 02.11.2023):
```
pip install ta
```
-- [Conda](https://anaconda.org/conda-forge/ta) (π₯ 29K Β· β±οΈ 02.11.2023):
+- [Conda](https://anaconda.org/conda-forge/ta) (π₯ 30K Β· β±οΈ 02.11.2023):
```
conda install -c conda-forge ta
```
@@ -3556,7 +3571,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/RomelTorres/alpha_vantage
```
-- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 37K / month Β· π¦ 35 Β· β±οΈ 18.07.2024):
+- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 39K / month Β· π¦ 35 Β· β±οΈ 18.07.2024):
```
pip install alpha_vantage
```
@@ -3572,7 +3587,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/pmorissette/ffn
```
-- [PyPi](https://pypi.org/project/ffn) (π₯ 16K / month Β· π¦ 18 Β· β±οΈ 05.08.2024):
+- [PyPi](https://pypi.org/project/ffn) (π₯ 17K / month Β· π¦ 18 Β· β±οΈ 05.08.2024):
```
pip install ffn
```
@@ -3588,7 +3603,7 @@ _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) (π₯ 50K / month Β· π¦ 44 Β· β±οΈ 21.11.2022):
+- [PyPi](https://pypi.org/project/ib_insync) (π₯ 53K / month Β· π¦ 44 Β· β±οΈ 21.11.2022):
```
pip install ib_insync
```
@@ -3599,12 +3614,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
TensorTrade (π₯26 Β· β 4.5K) - An open source reinforcement learning framework for training,.. Apache-2
-- [GitHub](https://github.com/tensortrade-org/tensortrade) (π¨βπ» 61 Β· π 980 Β· π¦ 61 Β· π 250 - 20% open Β· β±οΈ 09.06.2024):
+- [GitHub](https://github.com/tensortrade-org/tensortrade) (π¨βπ» 61 Β· π 980 Β· π¦ 62 Β· π 250 - 20% open Β· β±οΈ 09.06.2024):
```
git clone https://github.com/tensortrade-org/tensortrade
```
-- [PyPi](https://pypi.org/project/tensortrade) (π₯ 1K / month Β· π¦ 1 Β· β±οΈ 10.05.2021):
+- [PyPi](https://pypi.org/project/tensortrade) (π₯ 1.3K / month Β· π¦ 1 Β· β±οΈ 10.05.2021):
```
pip install tensortrade
```
@@ -3620,19 +3635,19 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/jealous/stockstats
```
-- [PyPi](https://pypi.org/project/stockstats) (π₯ 8.8K / month Β· π¦ 11 Β· β±οΈ 30.07.2023):
+- [PyPi](https://pypi.org/project/stockstats) (π₯ 8.9K / month Β· π¦ 11 Β· β±οΈ 30.07.2023):
```
pip install stockstats
```
finmarketpy (π₯22 Β· β 3.4K) - Python library for backtesting trading strategies & analyzing.. Apache-2
-- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 14 Β· π 490 Β· π₯ 56 Β· π¦ 14 Β· π 28 - 85% open Β· β±οΈ 19.05.2024):
+- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 14 Β· π 490 Β· π₯ 56 Β· π¦ 15 Β· π 28 - 85% open Β· β±οΈ 19.05.2024):
```
git clone https://github.com/cuemacro/finmarketpy
```
-- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 480 / month Β· β±οΈ 19.05.2024):
+- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 930 / month Β· β±οΈ 19.05.2024):
```
pip install finmarketpy
```
@@ -3640,7 +3655,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Show 15 hidden projects...
- zipline (π₯32 Β· β 18K Β· π) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
-- pyfolio (π₯30 Β· β 5.6K Β· π) - Portfolio and risk analytics in Python. Apache-2
+- pyfolio (π₯30 Β· β 5.7K Β· π) - Portfolio and risk analytics in Python. Apache-2
- arch (π₯30 Β· β 1.3K) - ARCH models in Python. βUnlicensed
- backtrader (π₯29 Β· β 14K Β· π) - Python Backtesting library for trading strategies. βοΈGPL-3.0
- Alphalens (π₯27 Β· β 3.3K Β· π) - Performance analysis of predictive (alpha) stock factors. Apache-2
@@ -3649,8 +3664,8 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
- PyAlgoTrade (π₯24 Β· β 4.4K Β· π) - Python Algorithmic Trading Library. Apache-2
- FinTA (π₯24 Β· β 2.1K Β· π) - Common financial technical indicators implemented in Pandas. βοΈLGPL-3.0
- Backtesting.py (π₯23 Β· β 5.4K Β· π) - Backtest trading strategies in Python. βοΈAGPL-3.0
+- FinQuant (π₯23 Β· β 1.4K Β· π) - A program for financial portfolio management, analysis and.. MIT
- Crypto Signals (π₯22 Β· β 4.9K Β· π) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT
-- FinQuant (π₯22 Β· β 1.4K Β· π) - A program for financial portfolio management, analysis and.. MIT
- tf-quant-finance (π₯21 Β· β 4.5K Β· π) - High-performance TensorFlow library for quantitative.. Apache-2 βοΈGPL-3.0
- pyrtfolio (π₯9 Β· β 150 Β· π) - Python package to generate stock portfolios. βοΈGPL-3.0
@@ -3665,12 +3680,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
sktime (π₯39 Β· β 7.8K) - A unified framework for machine learning with time series. BSD-3
-- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 400 Β· π 1.3K Β· π₯ 100 Β· π¦ 3.3K Β· π 2.5K - 37% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 400 Β· π 1.3K Β· π₯ 100 Β· π¦ 3.3K Β· π 2.5K - 37% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/alan-turing-institute/sktime
```
-- [PyPi](https://pypi.org/project/sktime) (π₯ 730K / month Β· π¦ 130 Β· β±οΈ 26.09.2024):
+- [PyPi](https://pypi.org/project/sktime) (π₯ 760K / month Β· π¦ 130 Β· β±οΈ 26.09.2024):
```
pip install sktime
```
@@ -3679,41 +3694,41 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge sktime-all-extras
```
Prophet (π₯35 Β· β 18K Β· π) - Tool for producing high quality forecasts for time series data that.. MIT
+Prophet (π₯35 Β· β 18K) - Tool for producing high quality forecasts for time series data that has.. MIT
- [GitHub](https://github.com/facebook/prophet) (π¨βπ» 180 Β· π 4.5K Β· π₯ 2.8K Β· π¦ 21 Β· π 2.2K - 19% open Β· β±οΈ 02.10.2024):
```
git clone https://github.com/facebook/prophet
```
-- [PyPi](https://pypi.org/project/fbprophet) (π₯ 280K / month Β· π¦ 91 Β· β±οΈ 05.09.2020):
+- [PyPi](https://pypi.org/project/fbprophet) (π₯ 250K / month Β· π¦ 91 Β· β±οΈ 05.09.2020):
```
pip install fbprophet
```
-- [Conda](https://anaconda.org/conda-forge/prophet) (π₯ 1.3M Β· β±οΈ 20.10.2023):
+- [Conda](https://anaconda.org/conda-forge/prophet) (π₯ 1.3M Β· β±οΈ 04.10.2024):
```
conda install -c conda-forge prophet
```
StatsForecast (π₯34 Β· β 3.9K) - Lightning fast forecasting with statistical and econometric.. Apache-2
-- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 45 Β· π 270 Β· π¦ 1.1K Β· π 340 - 29% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 46 Β· π 270 Β· π¦ 1.1K Β· π 340 - 29% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/Nixtla/statsforecast
```
-- [PyPi](https://pypi.org/project/statsforecast) (π₯ 710K / month Β· π¦ 57 Β· β±οΈ 19.09.2024):
+- [PyPi](https://pypi.org/project/statsforecast) (π₯ 670K / month Β· π¦ 57 Β· β±οΈ 19.09.2024):
```
pip install statsforecast
```
-- [Conda](https://anaconda.org/conda-forge/statsforecast) (π₯ 96K Β· β±οΈ 23.09.2024):
+- [Conda](https://anaconda.org/conda-forge/statsforecast) (π₯ 98K Β· β±οΈ 23.09.2024):
```
conda install -c conda-forge statsforecast
```
STUMPY (π₯33 Β· β 3.6K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
-- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 41 Β· π 320 Β· π¦ 890 Β· π 510 - 12% open Β· β±οΈ 16.09.2024):
+- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 41 Β· π 320 Β· π¦ 900 Β· π 510 - 12% open Β· β±οΈ 16.09.2024):
```
git clone https://github.com/TDAmeritrade/stumpy
@@ -3745,7 +3760,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
pytorch-forecasting (π₯32 Β· β 3.9K) - Time series forecasting with PyTorch. MIT
-- [GitHub](https://github.com/sktime/pytorch-forecasting) (π¨βπ» 52 Β· π 610 Β· π¦ 440 Β· π 780 - 61% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/sktime/pytorch-forecasting) (π¨βπ» 53 Β· π 620 Β· π¦ 440 Β· π 780 - 60% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/jdb78/pytorch-forecasting
@@ -3754,39 +3769,39 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
pip install pytorch-forecasting
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (π₯ 64K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (π₯ 65K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge pytorch-forecasting
```
Darts (π₯31 Β· β 8K) - A python library for user-friendly forecasting and anomaly detection on.. Apache-2
-- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 120 Β· π 860 Β· π 1.6K - 16% open Β· β±οΈ 28.09.2024):
+- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 120 Β· π 870 Β· π 1.6K - 15% open Β· β±οΈ 28.09.2024):
```
git clone https://github.com/unit8co/darts
```
-- [PyPi](https://pypi.org/project/u8darts) (π₯ 73K / month Β· π¦ 10 Β· β±οΈ 19.06.2024):
+- [PyPi](https://pypi.org/project/u8darts) (π₯ 74K / month Β· π¦ 10 Β· β±οΈ 19.06.2024):
```
pip install u8darts
```
-- [Conda](https://anaconda.org/conda-forge/u8darts-all) (π₯ 58K Β· β±οΈ 21.06.2024):
+- [Conda](https://anaconda.org/conda-forge/u8darts-all) (π₯ 59K Β· β±οΈ 21.06.2024):
```
conda install -c conda-forge u8darts-all
```
-- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 690 Β· β±οΈ 17.04.2024):
+- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 700 Β· β±οΈ 17.04.2024):
```
docker pull unit8/darts
```
NeuralForecast (π₯31 Β· β 3K) - Scalable and user friendly neural forecasting algorithms. Apache-2
-- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 48 Β· π 340 Β· π¦ 210 Β· π 540 - 20% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 48 Β· π 340 Β· π¦ 220 Β· π 540 - 20% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/Nixtla/neuralforecast
```
-- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 42K / month Β· π¦ 17 Β· β±οΈ 20.09.2024):
+- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 49K / month Β· π¦ 17 Β· β±οΈ 20.09.2024):
```
pip install neuralforecast
```
@@ -3802,7 +3817,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/tslearn-team/tslearn
```
-- [PyPi](https://pypi.org/project/tslearn) (π₯ 450K / month Β· π¦ 79 Β· β±οΈ 12.12.2023):
+- [PyPi](https://pypi.org/project/tslearn) (π₯ 460K / month Β· π¦ 79 Β· β±οΈ 12.12.2023):
```
pip install tslearn
```
@@ -3827,6 +3842,18 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge pmdarima
```
skforecast (π₯30 Β· β 1.1K) - Time series forecasting with machine learning models. BSD-3
+
+- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (π¨βπ» 14 Β· π 130 Β· π¦ 330 Β· π 170 - 13% open Β· β±οΈ 13.08.2024):
+
+ ```
+ git clone https://github.com/JoaquinAmatRodrigo/skforecast
+ ```
+- [PyPi](https://pypi.org/project/skforecast) (π₯ 80K / month Β· π¦ 15 Β· β±οΈ 01.08.2024):
+ ```
+ pip install skforecast
+ ```
+GluonTS (π₯29 Β· β 4.6K) - Probabilistic time series modeling in Python. Apache-2
- [GitHub](https://github.com/awslabs/gluonts) (π¨βπ» 120 Β· π 740 Β· π 960 - 33% open Β· β±οΈ 25.07.2024):
@@ -3834,18 +3861,18 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/awslabs/gluon-ts
```
-- [PyPi](https://pypi.org/project/gluonts) (π₯ 570K / month Β· π¦ 31 Β· β±οΈ 03.06.2024):
+- [PyPi](https://pypi.org/project/gluonts) (π₯ 650K / month Β· π¦ 31 Β· β±οΈ 03.06.2024):
```
pip install gluonts
```
-- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 960 Β· β±οΈ 22.12.2023):
+- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 980 Β· β±οΈ 22.12.2023):
```
conda install -c anaconda gluonts
```
NeuralProphet (π₯29 Β· β 3.8K) - NeuralProphet: A simple forecasting package. MIT
-- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 56 Β· π 470 Β· π 550 - 10% open Β· β±οΈ 13.09.2024):
+- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 56 Β· π 470 Β· π 560 - 10% open Β· β±οΈ 13.09.2024):
```
git clone https://github.com/ourownstory/neural_prophet
@@ -3855,18 +3882,6 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
pip install neuralprophet
```
skforecast (π₯29 Β· β 1.1K) - Time series forecasting with machine learning models. BSD-3
-
-- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (π¨βπ» 14 Β· π 120 Β· π¦ 330 Β· π 170 - 11% open Β· β±οΈ 13.08.2024):
-
- ```
- git clone https://github.com/JoaquinAmatRodrigo/skforecast
- ```
-- [PyPi](https://pypi.org/project/skforecast) (π₯ 76K / month Β· π¦ 15 Β· β±οΈ 01.08.2024):
- ```
- pip install skforecast
- ```
-TSFEL (π₯24 Β· β 920) - An intuitive library to extract features from time series. BSD-3
- [GitHub](https://github.com/fraunhoferportugal/tsfel) (π¨βπ» 20 Β· π 140 Β· π¦ 150 Β· π 76 - 6% open Β· β±οΈ 12.09.2024):
@@ -3874,47 +3889,47 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/fraunhoferportugal/tsfel
```
-- [PyPi](https://pypi.org/project/tsfel) (π₯ 24K / month Β· π¦ 7 Β· β±οΈ 12.09.2024):
+- [PyPi](https://pypi.org/project/tsfel) (π₯ 21K / month Β· π¦ 7 Β· β±οΈ 12.09.2024):
```
pip install tsfel
```
uber/orbit (π₯23 Β· β 1.9K Β· π) - A Python package for Bayesian forecasting with object-.. Apache-2
+uber/orbit (π₯23 Β· β 1.9K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2
-- [GitHub](https://github.com/uber/orbit) (π¨βπ» 20 Β· π 140 Β· π¦ 61 Β· π 400 - 12% open Β· β±οΈ 10.07.2024):
+- [GitHub](https://github.com/uber/orbit) (π¨βπ» 20 Β· π 140 Β· π¦ 63 Β· π 400 - 12% open Β· β±οΈ 10.07.2024):
```
git clone https://github.com/uber/orbit
```
-- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 13K / month Β· π¦ 1 Β· β±οΈ 01.04.2024):
+- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 14K / month Β· π¦ 1 Β· β±οΈ 01.04.2024):
```
pip install orbit-ml
```
-- [Conda](https://anaconda.org/conda-forge/orbit-ml) (π₯ 14K Β· β±οΈ 01.04.2024):
+- [Conda](https://anaconda.org/conda-forge/orbit-ml) (π₯ 15K Β· β±οΈ 01.04.2024):
```
conda install -c conda-forge orbit-ml
```
pydlm (π₯22 Β· β 480) - A python library for Bayesian time series modeling. BSD-3
-- [GitHub](https://github.com/wwrechard/pydlm) (π¨βπ» 7 Β· π 98 Β· π¦ 36 Β· π 56 - 73% open Β· β±οΈ 07.09.2024):
+- [GitHub](https://github.com/wwrechard/pydlm) (π¨βπ» 7 Β· π 98 Β· π¦ 37 Β· π 56 - 73% open Β· β±οΈ 07.09.2024):
```
git clone https://github.com/wwrechard/pydlm
```
-- [PyPi](https://pypi.org/project/pydlm) (π₯ 26K / month Β· π¦ 2 Β· β±οΈ 13.08.2024):
+- [PyPi](https://pypi.org/project/pydlm) (π₯ 27K / month Β· π¦ 2 Β· β±οΈ 13.08.2024):
```
pip install pydlm
```
tsflex (π₯21 Β· β 400) - Flexible time series feature extraction & processing. MIT
-- [GitHub](https://github.com/predict-idlab/tsflex) (π¨βπ» 6 Β· π 26 Β· π¦ 15 Β· π 56 - 58% open Β· β±οΈ 06.09.2024):
+- [GitHub](https://github.com/predict-idlab/tsflex) (π¨βπ» 6 Β· π 26 Β· π¦ 17 Β· π 56 - 58% open Β· β±οΈ 06.09.2024):
```
git clone https://github.com/predict-idlab/tsflex
```
-- [PyPi](https://pypi.org/project/tsflex) (π₯ 1.1K / month Β· π¦ 2 Β· β±οΈ 06.09.2024):
+- [PyPi](https://pypi.org/project/tsflex) (π₯ 1.5K / month Β· π¦ 2 Β· β±οΈ 06.09.2024):
```
pip install tsflex
```
@@ -3925,24 +3940,24 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
greykite (π₯20 Β· β 1.8K Β· π€) - A flexible, intuitive and fast forecasting library. BSD-2
-- [GitHub](https://github.com/linkedin/greykite) (π¨βπ» 10 Β· π 100 Β· π₯ 35 Β· π¦ 33 Β· π 110 - 27% open Β· β±οΈ 16.01.2024):
+- [GitHub](https://github.com/linkedin/greykite) (π¨βπ» 10 Β· π 100 Β· π₯ 36 Β· π¦ 34 Β· π 110 - 27% open Β· β±οΈ 16.01.2024):
```
git clone https://github.com/linkedin/greykite
```
-- [PyPi](https://pypi.org/project/greykite) (π₯ 6.1K / month Β· β±οΈ 12.01.2024):
+- [PyPi](https://pypi.org/project/greykite) (π₯ 6.8K / month Β· β±οΈ 12.01.2024):
```
pip install greykite
```
Auto TS (π₯20 Β· β 730) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
-- [GitHub](https://github.com/AutoViML/Auto_TS) (π¨βπ» 13 Β· π 110 Β· π 88 - 1% open Β· β±οΈ 05.05.2024):
+- [GitHub](https://github.com/AutoViML/Auto_TS) (π¨βπ» 13 Β· π 110 Β· π 89 - 2% open Β· β±οΈ 05.05.2024):
```
git clone https://github.com/AutoViML/Auto_TS
```
-- [PyPi](https://pypi.org/project/auto-ts) (π₯ 9.1K / month Β· β±οΈ 05.05.2024):
+- [PyPi](https://pypi.org/project/auto-ts) (π₯ 12K / month Β· β±οΈ 05.05.2024):
```
pip install auto-ts
```
@@ -3957,8 +3972,8 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
- ADTK (π₯21 Β· β 1.1K Β· π) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0
- seglearn (π₯21 Β· β 570 Β· π) - Python module for machine learning time series:. BSD-3
- matrixprofile-ts (π₯19 Β· β 730 Β· π) - A Python library for detecting patterns and anomalies.. Apache-2
-- atspy (π₯15 Β· β 510 Β· π) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
-- tsaug (π₯14 Β· β 350 Β· π) - A Python package for time series augmentation. Apache-2
+- atspy (π₯16 Β· β 510 Β· π) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
+- tsaug (π₯14 Β· β 340 Β· π) - A Python package for time series augmentation. Apache-2
- tslumen (π₯8 Β· β 66 Β· π) - A library for Time Series EDA (exploratory data analysis). Apache-2
@@ -3971,7 +3986,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (π₯39 Β· β 2.7K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
-- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 380 Β· π 1.3K Β· π¦ 4.4K Β· π 4.9K - 10% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 380 Β· π 1.3K Β· π¦ 4.5K Β· π 4.9K - 10% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/mne-tools/mne-python
@@ -3987,12 +4002,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MONAI (π₯36 Β· β 5.7K) - AI Toolkit for Healthcare Imaging. Apache-2
-- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 200 Β· π 1K Β· π¦ 2.9K Β· π 3.1K - 11% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 200 Β· π 1.1K Β· π¦ 2.9K Β· π 3.1K - 11% open Β· β±οΈ 30.09.2024):
```
git clone https://github.com/Project-MONAI/MONAI
```
-- [PyPi](https://pypi.org/project/monai) (π₯ 160K / month Β· π¦ 120 Β· β±οΈ 30.09.2024):
+- [PyPi](https://pypi.org/project/monai) (π₯ 150K / month Β· π¦ 120 Β· β±οΈ 30.09.2024):
```
pip install monai
```
@@ -4003,39 +4018,39 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Nilearn (π₯36 Β· β 1.2K) - Machine learning for NeuroImaging in Python. BSD-3
-- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 240 Β· π 580 Β· π₯ 240 Β· π¦ 3.5K Β· π 2.1K - 13% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 240 Β· π 600 Β· π₯ 240 Β· π¦ 3.5K Β· π 2.1K - 14% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/nilearn/nilearn
```
-- [PyPi](https://pypi.org/project/nilearn) (π₯ 60K / month Β· π¦ 290 Β· β±οΈ 09.04.2024):
+- [PyPi](https://pypi.org/project/nilearn) (π₯ 65K / month Β· π¦ 300 Β· β±οΈ 09.04.2024):
```
pip install nilearn
```
-- [Conda](https://anaconda.org/conda-forge/nilearn) (π₯ 290K Β· β±οΈ 09.04.2024):
+- [Conda](https://anaconda.org/conda-forge/nilearn) (π₯ 300K Β· β±οΈ 09.04.2024):
```
conda install -c conda-forge nilearn
```
NiBabel (π₯35 Β· β 650) - Python package to access a cacophony of neuro-imaging file formats. MIT
+NiBabel (π₯36 Β· β 650) - Python package to access a cacophony of neuro-imaging file formats. MIT
-- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 100 Β· π 260 Β· π¦ 22K Β· π 540 - 24% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 100 Β· π 260 Β· π¦ 22K Β· π 540 - 23% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/nipy/nibabel
```
-- [PyPi](https://pypi.org/project/nibabel) (π₯ 1.4M / month Β· π¦ 1.2K Β· β±οΈ 27.02.2024):
+- [PyPi](https://pypi.org/project/nibabel) (π₯ 1.5M / month Β· π¦ 1.2K Β· β±οΈ 08.10.2024):
```
pip install nibabel
```
-- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 770K Β· β±οΈ 27.02.2024):
+- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 780K Β· β±οΈ 08.10.2024):
```
conda install -c conda-forge nibabel
```
NIPYPE (π₯33 Β· β 750) - Workflows and interfaces for neuroimaging packages. Apache-2
+NIPYPE (π₯35 Β· β 750 Β· π) - Workflows and interfaces for neuroimaging packages. Apache-2
-- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 260 Β· π 510 Β· π¦ 5K Β· π 1.4K - 29% open Β· β±οΈ 30.05.2024):
+- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 260 Β· π 510 Β· π¦ 5K Β· π 1.4K - 29% open Β· β±οΈ 07.10.2024):
```
git clone https://github.com/nipy/nipype
@@ -4049,14 +4064,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge nipype
```
Lifelines (π₯32 Β· β 2.3K) - Survival analysis in Python. MIT
+Lifelines (π₯32 Β· β 2.4K) - Survival analysis in Python. MIT
-- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (π¨βπ» 120 Β· π 550 Β· π¦ 2.9K Β· π 970 - 26% open Β· β±οΈ 05.09.2024):
+- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (π¨βπ» 120 Β· π 550 Β· π¦ 3K Β· π 970 - 26% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/CamDavidsonPilon/lifelines
```
-- [PyPi](https://pypi.org/project/lifelines) (π₯ 800K / month Β· π¦ 150 Β· β±οΈ 26.06.2024):
+- [PyPi](https://pypi.org/project/lifelines) (π₯ 1.2M / month Β· π¦ 150 Β· β±οΈ 26.06.2024):
```
pip install lifelines
```
@@ -4065,14 +4080,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge lifelines
```
Hail (π₯31 Β· β 980) - Cloud-native genomic dataframes and batch computing. MIT
+Hail (π₯32 Β· β 980) - Cloud-native genomic dataframes and batch computing. MIT
-- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 95 Β· π 240 Β· π¦ 140 Β· π 2.5K - 9% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 95 Β· π 240 Β· π¦ 140 Β· π 2.5K - 10% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/hail-is/hail
```
-- [PyPi](https://pypi.org/project/hail) (π₯ 52K / month Β· π¦ 34 Β· β±οΈ 08.08.2024):
+- [PyPi](https://pypi.org/project/hail) (π₯ 37K / month Β· π¦ 34 Β· β±οΈ 04.10.2024):
```
pip install hail
```
@@ -4084,19 +4099,19 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
```
git clone https://github.com/google/deepvariant
```
-- [Conda](https://anaconda.org/bioconda/deepvariant) (π₯ 69K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/bioconda/deepvariant) (π₯ 70K Β· β±οΈ 16.06.2023):
```
conda install -c bioconda deepvariant
```
Brainiak (π₯18 Β· β 330) - Brain Imaging Analysis Kit. Apache-2
+Brainiak (π₯19 Β· β 330) - Brain Imaging Analysis Kit. Apache-2
- [GitHub](https://github.com/brainiak/brainiak) (π¨βπ» 35 Β· π 130 Β· π 220 - 38% open Β· β±οΈ 08.07.2024):
```
git clone https://github.com/brainiak/brainiak
```
-- [PyPi](https://pypi.org/project/brainiak) (π₯ 400 / month Β· β±οΈ 15.10.2020):
+- [PyPi](https://pypi.org/project/brainiak) (π₯ 580 / month Β· β±οΈ 15.10.2020):
```
pip install brainiak
```
@@ -4107,15 +4122,15 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 10 hidden projects...
-- DIPY (π₯32 Β· β 700) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains.. βUnlicensed
+- DIPY (π₯32 Β· β 710) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains.. βUnlicensed
+- NIPY (π₯27 Β· β 380 Β· π) - Neuroimaging in Python FMRI analysis package. βUnlicensed
- NiftyNet (π₯25 Β· β 1.4K Β· π) - [unmaintained] An open-source convolutional neural.. Apache-2 βοΈGPL-3.0
-- NIPY (π₯24 Β· β 380) - Neuroimaging in Python FMRI analysis package. βUnlicensed
- DLTK (π₯21 Β· β 1.4K Β· π) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 Apache-2
+- Glow (π₯20 Β· β 270) - An open-source toolkit for large-scale genomic analysis. Apache-2
- MedicalTorch (π₯16 Β· β 840 Β· π) - A medical imaging framework for Pytorch. Apache-2 MIT
- Medical Detection Toolkit (π₯14 Β· β 1.3K Β· π) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 MIT
- MedicalNet (π₯12 Β· β 1.9K Β· π) - Many studies have shown that the performance on deep learning is.. MIT
@@ -4133,7 +4148,7 @@ _Libraries for processing tabular and structured data._
```
git clone https://github.com/AnotherSamWilson/miceforest
```
-- [PyPi](https://pypi.org/project/miceforest) (π₯ 62K / month Β· π¦ 9 Β· β±οΈ 02.08.2024):
+- [PyPi](https://pypi.org/project/miceforest) (π₯ 65K / month Β· π¦ 9 Β· β±οΈ 02.08.2024):
```
pip install miceforest
```
@@ -4149,31 +4164,31 @@ _Libraries for processing tabular and structured data._
```
git clone https://github.com/manujosephv/pytorch_tabular
```
-- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 3.6K / month Β· π¦ 3 Β· β±οΈ 15.01.2024):
+- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 3.9K / month Β· π¦ 3 Β· β±οΈ 15.01.2024):
```
pip install pytorch_tabular
```
upgini (π₯21 Β· β 310) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
+upgini (π₯22 Β· β 310) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
-- [GitHub](https://github.com/upgini/upgini) (π¨βπ» 13 Β· π 25 Β· π¦ 8 Β· β±οΈ 27.09.2024):
+- [GitHub](https://github.com/upgini/upgini) (π¨βπ» 13 Β· π 25 Β· π¦ 9 Β· β±οΈ 10.10.2024):
```
git clone https://github.com/upgini/upgini
```
-- [PyPi](https://pypi.org/project/upgini) (π₯ 19K / month Β· β±οΈ 03.10.2024):
+- [PyPi](https://pypi.org/project/upgini) (π₯ 25K / month Β· β±οΈ 10.10.2024):
```
pip install upgini
```
carefree-learn (π₯18 Β· β 400 Β· π€) - Deep Learning PyTorch. MIT
-- [GitHub](https://github.com/carefree0910/carefree-learn) (π¨βπ» 1 Β· π 38 Β· π¦ 7 Β· π 82 - 2% open Β· β±οΈ 18.03.2024):
+- [GitHub](https://github.com/carefree0910/carefree-learn) (π¨βπ» 1 Β· π 38 Β· π¦ 8 Β· π 82 - 2% open Β· β±οΈ 18.03.2024):
```
git clone https://github.com/carefree0910/carefree-learn
```
-- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 1.9K / month Β· β±οΈ 09.01.2024):
+- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 3.2K / month Β· β±οΈ 09.01.2024):
```
pip install carefree-learn
```
@@ -4192,31 +4207,31 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
PaddleOCR (π₯41 Β· β 43K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 260 Β· π 7.7K Β· π₯ 390K Β· π¦ 3.4K Β· π 9.3K - 1% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 260 Β· π 7.7K Β· π₯ 420K Β· π¦ 3.4K Β· π 9.3K - 1% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/PaddlePaddle/PaddleOCR
```
-- [PyPi](https://pypi.org/project/paddleocr) (π₯ 520K / month Β· π¦ 100 Β· β±οΈ 17.07.2024):
+- [PyPi](https://pypi.org/project/paddleocr) (π₯ 440K / month Β· π¦ 100 Β· β±οΈ 17.07.2024):
```
pip install paddleocr
```
EasyOCR (π₯36 Β· β 24K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2
-- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 130 Β· π 3.1K Β· π₯ 15M Β· π¦ 8.6K Β· π 1K - 41% open Β· β±οΈ 24.09.2024):
+- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 130 Β· π 3.1K Β· π₯ 15M Β· π¦ 8.7K Β· π 1K - 41% open Β· β±οΈ 24.09.2024):
```
git clone https://github.com/JaidedAI/EasyOCR
```
-- [PyPi](https://pypi.org/project/easyocr) (π₯ 460K / month Β· π¦ 210 Β· β±οΈ 24.09.2024):
+- [PyPi](https://pypi.org/project/easyocr) (π₯ 470K / month Β· π¦ 210 Β· β±οΈ 24.09.2024):
```
pip install easyocr
```
OCRmyPDF (π₯34 Β· β 14K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
-- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 100 Β· π 990 Β· π₯ 5.2K Β· π¦ 990 Β· π 1.2K - 9% open Β· β±οΈ 15.09.2024):
+- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 100 Β· π 990 Β· π₯ 5.3K Β· π¦ 1K Β· π 1.2K - 9% open Β· β±οΈ 15.09.2024):
```
git clone https://github.com/ocrmypdf/OCRmyPDF
@@ -4225,7 +4240,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
```
pip install ocrmypdf
```
-- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (π₯ 78K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (π₯ 79K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge ocrmypdf
```
@@ -4237,7 +4252,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
```
git clone https://github.com/madmaze/pytesseract
```
-- [PyPi](https://pypi.org/project/pytesseract) (π₯ 2.6M / month Β· π¦ 970 Β· β±οΈ 16.08.2024):
+- [PyPi](https://pypi.org/project/pytesseract) (π₯ 2.4M / month Β· π¦ 970 Β· β±οΈ 16.08.2024):
```
pip install pytesseract
```
@@ -4248,12 +4263,12 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
tesserocr (π₯30 Β· β 2K) - A Python wrapper for the tesseract-ocr API. MIT
-- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 30 Β· π 250 Β· π₯ 570 Β· π¦ 1.1K Β· π 280 - 17% open Β· β±οΈ 26.08.2024):
+- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 30 Β· π 250 Β· π₯ 580 Β· π¦ 1.1K Β· π 280 - 18% open Β· β±οΈ 26.08.2024):
```
git clone https://github.com/sirfz/tesserocr
```
-- [PyPi](https://pypi.org/project/tesserocr) (π₯ 98K / month Β· π¦ 36 Β· β±οΈ 26.08.2024):
+- [PyPi](https://pypi.org/project/tesserocr) (π₯ 100K / month Β· π¦ 36 Β· β±οΈ 26.08.2024):
```
pip install tesserocr
```
@@ -4264,19 +4279,19 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
MMOCR (π₯27 Β· β 4.3K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2
-- [GitHub](https://github.com/open-mmlab/mmocr) (π¨βπ» 90 Β· π 740 Β· π¦ 160 Β· π 930 - 20% open Β· β±οΈ 23.04.2024):
+- [GitHub](https://github.com/open-mmlab/mmocr) (π¨βπ» 90 Β· π 740 Β· π¦ 170 Β· π 930 - 20% open Β· β±οΈ 23.04.2024):
```
git clone https://github.com/open-mmlab/mmocr
```
-- [PyPi](https://pypi.org/project/mmocr) (π₯ 9.6K / month Β· π¦ 4 Β· β±οΈ 05.05.2022):
+- [PyPi](https://pypi.org/project/mmocr) (π₯ 8.8K / month Β· π¦ 4 Β· β±οΈ 05.05.2022):
```
pip install mmocr
```
keras-ocr (π₯27 Β· β 1.4K Β· π€) - A packaged and flexible version of the CRAFT text detector.. MIT
-- [GitHub](https://github.com/faustomorales/keras-ocr) (π¨βπ» 18 Β· π 330 Β· π₯ 1.7M Β· π¦ 560 Β· π 210 - 46% open Β· β±οΈ 06.11.2023):
+- [GitHub](https://github.com/faustomorales/keras-ocr) (π¨βπ» 18 Β· π 330 Β· π₯ 1.7M Β· π¦ 570 Β· π 210 - 46% open Β· β±οΈ 06.11.2023):
```
git clone https://github.com/faustomorales/keras-ocr
@@ -4290,14 +4305,14 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
conda install -c anaconda keras-ocr
```
attention-ocr (π₯21 Β· β 1.1K Β· π€) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT
+attention-ocr (π₯22 Β· β 1.1K Β· π€) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT
-- [GitHub](https://github.com/emedvedev/attention-ocr) (π¨βπ» 28 Β· π 250 Β· π¦ 29 Β· π 150 - 16% open Β· β±οΈ 20.10.2023):
+- [GitHub](https://github.com/emedvedev/attention-ocr) (π¨βπ» 28 Β· π 250 Β· π¦ 30 Β· π 150 - 16% open Β· β±οΈ 20.10.2023):
```
git clone https://github.com/emedvedev/attention-ocr
```
-- [PyPi](https://pypi.org/project/aocr) (π₯ 610 / month Β· β±οΈ 19.04.2019):
+- [PyPi](https://pypi.org/project/aocr) (π₯ 1.5K / month Β· β±οΈ 19.04.2019):
```
pip install aocr
```
@@ -4307,7 +4322,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
- calamari (π₯23 Β· β 1K) - Line based ATR Engine based on OCRopy. βοΈGPL-3.0
- pdftabextract (π₯21 Β· β 2.2K Β· π) - A set of tools for extracting tables from PDF files.. Apache-2
- doc2text (π₯20 Β· β 1.3K Β· π) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT
-- Mozart (π₯10 Β· β 600 Β· π) - An optical music recognition (OMR) system. Converts sheet.. Apache-2 Apache-2
@@ -4359,12 +4374,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (π₯45 Β· β 33K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2
-- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 1.1K Β· π 5.6K Β· π₯ 240 Β· π¦ 18K Β· π 19K - 21% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 1.1K Β· π 5.6K Β· π₯ 240 Β· π¦ 18K Β· π 19K - 21% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/ray-project/ray
```
-- [PyPi](https://pypi.org/project/ray) (π₯ 5.8M / month Β· π¦ 770 Β· β±οΈ 24.09.2024):
+- [PyPi](https://pypi.org/project/ray) (π₯ 6.1M / month Β· π¦ 770 Β· β±οΈ 24.09.2024):
```
pip install ray
```
@@ -4375,12 +4390,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask (π₯44 Β· β 12K) - Parallel computing with task scheduling. BSD-3
-- [GitHub](https://github.com/dask/dask) (π¨βπ» 610 Β· π 1.7K Β· π¦ 65K Β· π 5.4K - 20% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/dask/dask) (π¨βπ» 610 Β· π 1.7K Β· π¦ 65K Β· π 5.4K - 20% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/dask/dask
```
-- [PyPi](https://pypi.org/project/dask) (π₯ 12M / month Β· π¦ 2.4K Β· β±οΈ 28.09.2024):
+- [PyPi](https://pypi.org/project/dask) (π₯ 13M / month Β· π¦ 2.4K Β· β±οΈ 28.09.2024):
```
pip install dask
```
@@ -4391,12 +4406,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
DeepSpeed (π₯41 Β· β 35K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2
-- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 340 Β· π 4K Β· π¦ 8.9K Β· π 2.9K - 38% open Β· β±οΈ 27.09.2024):
+- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 340 Β· π 4.1K Β· π¦ 9K Β· π 2.9K - 38% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/microsoft/DeepSpeed
```
-- [PyPi](https://pypi.org/project/deepspeed) (π₯ 510K / month Β· π¦ 200 Β· β±οΈ 05.09.2024):
+- [PyPi](https://pypi.org/project/deepspeed) (π₯ 510K / month Β· π¦ 210 Β· β±οΈ 09.10.2024):
```
pip install deepspeed
```
@@ -4407,12 +4422,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask.distributed (π₯40 Β· β 1.6K) - A distributed task scheduler for Dask. BSD-3
-- [GitHub](https://github.com/dask/distributed) (π¨βπ» 330 Β· π 720 Β· π¦ 37K Β· π 3.9K - 39% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/dask/distributed) (π¨βπ» 330 Β· π 720 Β· π¦ 37K Β· π 3.9K - 39% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/dask/distributed
```
-- [PyPi](https://pypi.org/project/distributed) (π₯ 5M / month Β· π¦ 840 Β· β±οΈ 28.09.2024):
+- [PyPi](https://pypi.org/project/distributed) (π₯ 5.1M / month Β· π¦ 840 Β· β±οΈ 28.09.2024):
```
pip install distributed
```
@@ -4421,26 +4436,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge distributed
```
horovod (π₯36 Β· β 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2
-
-- [GitHub](https://github.com/horovod/horovod) (π¨βπ» 170 Β· π 2.2K Β· π¦ 1.2K Β· π 2.3K - 17% open Β· β±οΈ 31.08.2024):
-
- ```
- git clone https://github.com/horovod/horovod
- ```
-- [PyPi](https://pypi.org/project/horovod) (π₯ 140K / month Β· π¦ 33 Β· β±οΈ 12.06.2023):
- ```
- pip install horovod
- ```
-metrics (π₯36 Β· β 2.1K) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 250 Β· π 400 Β· π₯ 5.7K Β· π¦ 31K Β· π 870 - 9% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 250 Β· π 390 Β· π₯ 5.7K Β· π¦ 31K Β· π 870 - 9% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/Lightning-AI/metrics
```
-- [PyPi](https://pypi.org/project/metrics) (π₯ 5.4K / month Β· π¦ 2 Β· β±οΈ 28.04.2018):
+- [PyPi](https://pypi.org/project/metrics) (π₯ 6K / month Β· π¦ 2 Β· β±οΈ 28.04.2018):
```
pip install metrics
```
@@ -4449,9 +4452,21 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge torchmetrics
```
horovod (π₯35 Β· β 14K Β· π) - Distributed training framework for TensorFlow, Keras, PyTorch,.. Apache-2
+
+- [GitHub](https://github.com/horovod/horovod) (π¨βπ» 170 Β· π 2.2K Β· π¦ 1.2K Β· π 2.3K - 17% open Β· β±οΈ 31.08.2024):
+
+ ```
+ git clone https://github.com/horovod/horovod
+ ```
+- [PyPi](https://pypi.org/project/horovod) (π₯ 130K / month Β· π¦ 33 Β· β±οΈ 12.06.2023):
+ ```
+ pip install horovod
+ ```
+H2O-3 (π₯35 Β· β 6.9K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2
-- [GitHub](https://github.com/h2oai/h2o-3) (π¨βπ» 270 Β· π 2K Β· π¦ 21 Β· π 9.5K - 29% open Β· β±οΈ 25.09.2024):
+- [GitHub](https://github.com/h2oai/h2o-3) (π¨βπ» 270 Β· π 2K Β· π¦ 21 Β· π 9.5K - 29% open Β· β±οΈ 04.10.2024):
```
git clone https://github.com/h2oai/h2o-3
@@ -4463,7 +4478,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
ColossalAI (π₯34 Β· β 39K) - Making large AI models cheaper, faster and more accessible. Apache-2
-- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 190 Β· π 4.3K Β· π¦ 420 Β· π 1.7K - 24% open Β· β±οΈ 26.09.2024):
+- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 190 Β· π 4.3K Β· π¦ 420 Β· π 1.7K - 24% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/hpcaitech/colossalai
@@ -4471,12 +4486,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
BigDL (π₯33 Β· β 6.6K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2
-- [GitHub](https://github.com/intel-analytics/ipex-llm) (π¨βπ» 110 Β· π 1.2K Β· π₯ 640 Β· π 2.6K - 38% open Β· β±οΈ 29.09.2024):
+- [GitHub](https://github.com/intel-analytics/ipex-llm) (π¨βπ» 110 Β· π 1.3K Β· π₯ 640 Β· π 2.6K - 38% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/intel-analytics/BigDL
```
-- [PyPi](https://pypi.org/project/bigdl) (π₯ 24K / month Β· π¦ 2 Β· β±οΈ 24.03.2024):
+- [PyPi](https://pypi.org/project/bigdl) (π₯ 54K / month Β· π¦ 2 Β· β±οΈ 24.03.2024):
```
pip install bigdl
```
@@ -4491,32 +4506,32 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
FairScale (π₯32 Β· β 3.2K) - PyTorch extensions for high performance and large scale training. BSD-3
-- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 75 Β· π 270 Β· π¦ 6.4K Β· π 390 - 26% open Β· β±οΈ 03.05.2024):
+- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 75 Β· π 280 Β· π¦ 6.4K Β· π 390 - 26% open Β· β±οΈ 03.05.2024):
```
git clone https://github.com/facebookresearch/fairscale
```
-- [PyPi](https://pypi.org/project/fairscale) (π₯ 550K / month Β· π¦ 150 Β· β±οΈ 11.12.2022):
+- [PyPi](https://pypi.org/project/fairscale) (π₯ 540K / month Β· π¦ 150 Β· β±οΈ 11.12.2022):
```
pip install fairscale
```
-- [Conda](https://anaconda.org/conda-forge/fairscale) (π₯ 300K Β· β±οΈ 28.11.2023):
+- [Conda](https://anaconda.org/conda-forge/fairscale) (π₯ 310K Β· β±οΈ 28.11.2023):
```
conda install -c conda-forge fairscale
```
mpi4py (π₯31 Β· β 800) - Python bindings for MPI. BSD-3
-- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 27 Β· π 120 Β· π₯ 27K Β· π 180 - 3% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 27 Β· π 120 Β· π₯ 27K Β· π 180 - 3% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/mpi4py/mpi4py
```
-- [PyPi](https://pypi.org/project/mpi4py) (π₯ 800K / month Β· π¦ 740 Β· β±οΈ 28.07.2024):
+- [PyPi](https://pypi.org/project/mpi4py) (π₯ 710K / month Β· π¦ 740 Β· β±οΈ 28.07.2024):
```
pip install mpi4py
```
-- [Conda](https://anaconda.org/conda-forge/mpi4py) (π₯ 2.9M Β· β±οΈ 04.09.2024):
+- [Conda](https://anaconda.org/conda-forge/mpi4py) (π₯ 3M Β· β±οΈ 04.09.2024):
```
conda install -c conda-forge mpi4py
```
@@ -4535,12 +4550,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Submit it (π₯29 Β· β 1.3K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT
-- [GitHub](https://github.com/facebookincubator/submitit) (π¨βπ» 25 Β· π 120 Β· π¦ 3.2K Β· π 120 - 37% open Β· β±οΈ 18.09.2024):
+- [GitHub](https://github.com/facebookincubator/submitit) (π¨βπ» 25 Β· π 120 Β· π¦ 3.3K Β· π 120 - 37% open Β· β±οΈ 18.09.2024):
```
git clone https://github.com/facebookincubator/submitit
```
-- [PyPi](https://pypi.org/project/submitit) (π₯ 450K / month Β· π¦ 49 Β· β±οΈ 18.09.2024):
+- [PyPi](https://pypi.org/project/submitit) (π₯ 460K / month Β· π¦ 49 Β· β±οΈ 18.09.2024):
```
pip install submitit
```
@@ -4551,7 +4566,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
petastorm (π₯27 Β· β 1.8K Β· π€) - Petastorm library enables single machine or distributed.. Apache-2
-- [GitHub](https://github.com/uber/petastorm) (π¨βπ» 50 Β· π 280 Β· π₯ 510 Β· π¦ 180 Β· π 320 - 53% open Β· β±οΈ 02.12.2023):
+- [GitHub](https://github.com/uber/petastorm) (π¨βπ» 50 Β· π 280 Β· π₯ 520 Β· π¦ 180 Β· π 320 - 53% open Β· β±οΈ 02.12.2023):
```
git clone https://github.com/uber/petastorm
@@ -4561,7 +4576,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
pip install petastorm
```
dask-ml (π₯27 Β· β 890 Β· π) - Scalable Machine Learning with Dask. BSD-3
+dask-ml (π₯27 Β· β 900) - Scalable Machine Learning with Dask. BSD-3
- [GitHub](https://github.com/dask/dask-ml) (π¨βπ» 80 Β· π 260 Β· π¦ 1.1K Β· π 540 - 52% open Β· β±οΈ 20.07.2024):
@@ -4572,23 +4587,23 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
pip install dask-ml
```
-- [Conda](https://anaconda.org/conda-forge/dask-ml) (π₯ 890K Β· β±οΈ 17.06.2024):
+- [Conda](https://anaconda.org/conda-forge/dask-ml) (π₯ 900K Β· β±οΈ 17.06.2024):
```
conda install -c conda-forge dask-ml
```
Apache Singa (π₯25 Β· β 3.4K) - a distributed deep learning platform. Apache-2
-- [GitHub](https://github.com/apache/singa) (π¨βπ» 91 Β· π 1.2K Β· π¦ 4 Β· π 130 - 37% open Β· β±οΈ 17.08.2024):
+- [GitHub](https://github.com/apache/singa) (π¨βπ» 91 Β· π 1.2K Β· π¦ 5 Β· π 130 - 37% open Β· β±οΈ 17.08.2024):
```
git clone https://github.com/apache/singa
```
-- [Conda](https://anaconda.org/nusdbsystem/singa) (π₯ 800 Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/nusdbsystem/singa):
```
conda install -c nusdbsystem singa
```
-- [Docker Hub](https://hub.docker.com/r/apache/singa) (π₯ 8K Β· β 4 Β· β±οΈ 31.05.2022):
+- [Docker Hub](https://hub.docker.com/r/apache/singa) (π₯ 8.1K Β· β 4 Β· β±οΈ 31.05.2022):
```
docker pull apache/singa
```
@@ -4600,7 +4615,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/learning-at-home/hivemind
```
-- [PyPi](https://pypi.org/project/hivemind) (π₯ 1.3K / month Β· π¦ 10 Β· β±οΈ 31.08.2023):
+- [PyPi](https://pypi.org/project/hivemind) (π₯ 2.3K / month Β· π¦ 10 Β· β±οΈ 31.08.2023):
```
pip install hivemind
```
@@ -4617,28 +4632,28 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
pip install mmlspark
```
Mesh (π₯23 Β· β 1.6K Β· π€) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2
+analytics-zoo (π₯23 Β· β 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2
-- [GitHub](https://github.com/tensorflow/mesh) (π¨βπ» 50 Β· π 250 Β· π 120 - 84% open Β· β±οΈ 17.11.2023):
+- [GitHub](https://github.com/intel-analytics/analytics-zoo) (π¨βπ» 110 Β· π 730 Β· π 1.3K - 32% open Β· β±οΈ 20.09.2024):
```
- git clone https://github.com/tensorflow/mesh
+ git clone https://github.com/intel-analytics/analytics-zoo
```
-- [PyPi](https://pypi.org/project/mesh-tensorflow) (π₯ 63K / month Β· π¦ 3 Β· β±οΈ 15.05.2022):
+- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 4K / month Β· π¦ 1 Β· β±οΈ 22.08.2022):
```
- pip install mesh-tensorflow
+ pip install analytics-zoo
```
analytics-zoo (π₯22 Β· β 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2
+Mesh (π₯23 Β· β 1.6K Β· π€) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2
-- [GitHub](https://github.com/intel-analytics/analytics-zoo) (π¨βπ» 110 Β· π 730 Β· π 1.3K - 32% open Β· β±οΈ 20.09.2024):
+- [GitHub](https://github.com/tensorflow/mesh) (π¨βπ» 50 Β· π 250 Β· π 120 - 84% open Β· β±οΈ 17.11.2023):
```
- git clone https://github.com/intel-analytics/analytics-zoo
+ git clone https://github.com/tensorflow/mesh
```
-- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 1K / month Β· π¦ 1 Β· β±οΈ 22.08.2022):
+- [PyPi](https://pypi.org/project/mesh-tensorflow) (π₯ 64K / month Β· π¦ 3 Β· β±οΈ 15.05.2022):
```
- pip install analytics-zoo
+ pip install mesh-tensorflow
```
Show 16 hidden projects...
@@ -4647,18 +4662,18 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
- ipyparallel (π₯28 Β· β 2.6K) - IPython Parallel: Interactive Parallel Computing in.. βUnlicensed Apache-2 MIT keras Apache-2
+- BytePS (π₯22 Β· β 3.6K Β· π) - A high performance and generic framework for distributed DNN.. Apache-2
- launchpad (π₯21 Β· β 310 Β· π) - Launchpad is a library that simplifies writing.. Apache-2 Apache-2 MIT
- mesh-transformer-jax (π₯18 Β· β 6.3K Β· π) - Model parallel transformers in JAX and Haiku. Apache-2 Apache-2
- bluefog (π₯18 Β· β 290 Β· π) - Distributed and decentralized training framework for PyTorch.. Apache-2 Apache-2
- parallelformers (π₯17 Β· β 780 Β· π) - Parallelformers: An Efficient Model Parallelization.. Apache-2
- TensorFrames (π₯16 Β· β 720 Β· π) - Tensorflow wrapper for DataFrames on Apache Spark. Apache-2 Apache-2
+- LazyCluster (π₯14 Β· β 49 Β· π) - Distributed machine learning made simple. Apache-2
+- autodist (π₯13 Β· β 130 Β· π) - Simple Distributed Deep Learning on TensorFlow. Apache-2 MIT Apache-2
@@ -4670,12 +4685,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Optuna (π₯43 Β· β 11K) - A hyperparameter optimization framework. MIT
-- [GitHub](https://github.com/optuna/optuna) (π¨βπ» 270 Β· π 1K Β· π¦ 18K Β· π 1.7K - 4% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/optuna/optuna) (π¨βπ» 270 Β· π 1K Β· π¦ 18K Β· π 1.7K - 4% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/optuna/optuna
```
-- [PyPi](https://pypi.org/project/optuna) (π₯ 3.6M / month Β· π¦ 990 Β· β±οΈ 02.09.2024):
+- [PyPi](https://pypi.org/project/optuna) (π₯ 3.6M / month Β· π¦ 1K Β· β±οΈ 02.09.2024):
```
pip install optuna
```
@@ -4686,7 +4701,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (π₯36 Β· β 2.4K) - Adaptive Experimentation Platform. MIT
-- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 170 Β· π 300 Β· π¦ 810 Β· π 780 - 7% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 170 Β· π 300 Β· π¦ 820 Β· π 780 - 7% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/facebook/Ax
@@ -4695,7 +4710,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
pip install ax-platform
```
-- [Conda](https://anaconda.org/conda-forge/ax-platform) (π₯ 27K Β· β±οΈ 24.09.2024):
+- [Conda](https://anaconda.org/conda-forge/ax-platform) (π₯ 28K Β· β±οΈ 24.09.2024):
```
conda install -c conda-forge ax-platform
```
@@ -4714,16 +4729,16 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
AutoGluon (π₯34 Β· β 7.8K) - Fast and Accurate ML in 3 Lines of Code. Apache-2
-- [GitHub](https://github.com/autogluon/autogluon) (π¨βπ» 120 Β· π 910 Β· π¦ 830 Β· π 1.4K - 25% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/autogluon/autogluon) (π¨βπ» 120 Β· π 910 Β· π¦ 840 Β· π 1.5K - 25% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/autogluon/autogluon
```
-- [PyPi](https://pypi.org/project/autogluon) (π₯ 160K / month Β· π¦ 27 Β· β±οΈ 03.10.2024):
+- [PyPi](https://pypi.org/project/autogluon) (π₯ 240K / month Β· π¦ 27 Β· β±οΈ 10.10.2024):
```
pip install autogluon
```
-- [Conda](https://anaconda.org/conda-forge/autogluon) (π₯ 19K Β· β±οΈ 18.06.2024):
+- [Conda](https://anaconda.org/conda-forge/autogluon) (π₯ 20K Β· β±οΈ 18.06.2024):
```
conda install -c conda-forge autogluon
```
@@ -4734,7 +4749,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
BoTorch (π₯34 Β· β 3.1K) - Bayesian optimization in PyTorch. MIT
-- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 130 Β· π 390 Β· π¦ 1.2K Β· π 530 - 12% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 130 Β· π 390 Β· π¦ 1.2K Β· π 530 - 12% open Β· β±οΈ 07.10.2024):
```
git clone https://github.com/pytorch/botorch
@@ -4743,7 +4758,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
pip install botorch
```
-- [Conda](https://anaconda.org/conda-forge/botorch) (π₯ 120K Β· β±οΈ 20.09.2024):
+- [Conda](https://anaconda.org/conda-forge/botorch) (π₯ 130K Β· β±οΈ 20.09.2024):
```
conda install -c conda-forge botorch
```
@@ -4755,7 +4770,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/alteryx/featuretools
```
-- [PyPi](https://pypi.org/project/featuretools) (π₯ 77K / month Β· π¦ 74 Β· β±οΈ 14.05.2024):
+- [PyPi](https://pypi.org/project/featuretools) (π₯ 70K / month Β· π¦ 74 Β· β±οΈ 14.05.2024):
```
pip install featuretools
```
@@ -4766,7 +4781,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Hyperopt (π₯33 Β· β 7.2K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3
-- [GitHub](https://github.com/hyperopt/hyperopt) (π¨βπ» 100 Β· π 1.1K Β· π¦ 17K Β· π 650 - 21% open Β· β±οΈ 25.09.2024):
+- [GitHub](https://github.com/hyperopt/hyperopt) (π¨βπ» 100 Β· π 1.1K Β· π¦ 17K Β· π 660 - 21% open Β· β±οΈ 25.09.2024):
```
git clone https://github.com/hyperopt/hyperopt
@@ -4782,12 +4797,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
nevergrad (π₯32 Β· β 3.9K) - A Python toolbox for performing gradient-free optimization. MIT
-- [GitHub](https://github.com/facebookresearch/nevergrad) (π¨βπ» 57 Β· π 350 Β· π¦ 750 Β· π 300 - 39% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/facebookresearch/nevergrad) (π¨βπ» 57 Β· π 350 Β· π¦ 750 Β· π 300 - 39% open Β· β±οΈ 04.10.2024):
```
git clone https://github.com/facebookresearch/nevergrad
```
-- [PyPi](https://pypi.org/project/nevergrad) (π₯ 80K / month Β· π¦ 58 Β· β±οΈ 25.09.2024):
+- [PyPi](https://pypi.org/project/nevergrad) (π₯ 81K / month Β· π¦ 58 Β· β±οΈ 25.09.2024):
```
pip install nevergrad
```
@@ -4815,19 +4830,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/keras-team/autokeras
```
-- [PyPi](https://pypi.org/project/autokeras) (π₯ 23K / month Β· π¦ 13 Β· β±οΈ 20.03.2024):
+- [PyPi](https://pypi.org/project/autokeras) (π₯ 24K / month Β· π¦ 13 Β· β±οΈ 20.03.2024):
```
pip install autokeras
```
Keras Tuner (π₯31 Β· β 2.8K) - A Hyperparameter Tuning Library for Keras. Apache-2
+Keras Tuner (π₯31 Β· β 2.9K) - A Hyperparameter Tuning Library for Keras. Apache-2
- [GitHub](https://github.com/keras-team/keras-tuner) (π¨βπ» 61 Β· π 390 Β· π¦ 4.4K Β· π 490 - 44% open Β· β±οΈ 24.06.2024):
```
git clone https://github.com/keras-team/keras-tuner
```
-- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 280K / month Β· π¦ 120 Β· β±οΈ 04.03.2024):
+- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 250K / month Β· π¦ 120 Β· β±οΈ 04.03.2024):
```
pip install keras-tuner
```
@@ -4838,12 +4853,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
mljar-supervised (π₯29 Β· β 3K) - Python package for AutoML on Tabular Data with Feature.. MIT
-- [GitHub](https://github.com/mljar/mljar-supervised) (π¨βπ» 29 Β· π 400 Β· π¦ 130 Β· π 680 - 23% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/mljar/mljar-supervised) (π¨βπ» 29 Β· π 400 Β· π¦ 130 Β· π 660 - 21% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/mljar/mljar-supervised
```
-- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 5.8K / month Β· π¦ 4 Β· β±οΈ 10.09.2024):
+- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 6.8K / month Β· π¦ 4 Β· β±οΈ 09.10.2024):
```
pip install mljar-supervised
```
@@ -4863,7 +4878,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
pip install lazypredict
```
-- [Conda](https://anaconda.org/conda-forge/lazypredict) (π₯ 3.5K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/lazypredict) (π₯ 3.6K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge lazypredict
```
@@ -4882,84 +4897,84 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
FEDOT (π₯25 Β· β 640) - Automated modeling and machine learning framework FEDOT. BSD-3
-- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 34 Β· π 86 Β· π¦ 52 Β· π 550 - 17% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 34 Β· π 86 Β· π¦ 53 Β· π 550 - 17% open Β· β±οΈ 30.09.2024):
```
git clone https://github.com/nccr-itmo/FEDOT
```
-- [PyPi](https://pypi.org/project/fedot) (π₯ 1.5K / month Β· π¦ 5 Β· β±οΈ 28.08.2024):
+- [PyPi](https://pypi.org/project/fedot) (π₯ 2.2K / month Β· π¦ 5 Β· β±οΈ 28.08.2024):
```
pip install fedot
```
Hyperactive (π₯25 Β· β 510) - An optimization and data collection toolbox for convenient and fast.. MIT
-- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 8 Β· π 42 Β· π₯ 250 Β· π¦ 34 Β· π 76 - 19% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 8 Β· π 42 Β· π₯ 250 Β· π¦ 35 Β· π 76 - 19% open Β· β±οΈ 01.10.2024):
```
git clone https://github.com/SimonBlanke/Hyperactive
```
-- [PyPi](https://pypi.org/project/hyperactive) (π₯ 2.5K / month Β· π¦ 13 Β· β±οΈ 15.08.2024):
+- [PyPi](https://pypi.org/project/hyperactive) (π₯ 4K / month Β· π¦ 13 Β· β±οΈ 15.08.2024):
```
pip install hyperactive
```
featurewiz (π₯21 Β· β 580) - Use advanced feature engineering strategies and select best.. Apache-2
+Auto ViML (π₯22 Β· β 520) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2
-- [GitHub](https://github.com/AutoViML/featurewiz) (π¨βπ» 18 Β· π 85 Β· π¦ 73 Β· π 96 - 4% open Β· β±οΈ 02.05.2024):
+- [GitHub](https://github.com/AutoViML/Auto_ViML) (π¨βπ» 9 Β· π 100 Β· π¦ 27 Β· π 34 - 2% open Β· β±οΈ 11.05.2024):
```
- git clone https://github.com/AutoViML/featurewiz
+ git clone https://github.com/AutoViML/Auto_ViML
```
-- [PyPi](https://pypi.org/project/featurewiz) (π₯ 32K / month Β· π¦ 2 Β· β±οΈ 10.02.2024):
+- [PyPi](https://pypi.org/project/autoviml) (π₯ 12K / month Β· π¦ 3 Β· β±οΈ 11.05.2024):
```
- pip install featurewiz
+ pip install autoviml
```
Auto ViML (π₯21 Β· β 520) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2
+AlphaPy (π₯21 Β· β 1.1K Β· π€) - Python AutoML for Trading Systems and Sports Betting. Apache-2
-- [GitHub](https://github.com/AutoViML/Auto_ViML) (π¨βπ» 9 Β· π 100 Β· π¦ 26 Β· π 34 - 2% open Β· β±οΈ 11.05.2024):
+- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (π¨βπ» 5 Β· π 200 Β· π¦ 6 Β· π 42 - 30% open Β· β±οΈ 10.02.2024):
```
- git clone https://github.com/AutoViML/Auto_ViML
+ git clone https://github.com/ScottfreeLLC/AlphaPy
```
-- [PyPi](https://pypi.org/project/autoviml) (π₯ 5.4K / month Β· π¦ 3 Β· β±οΈ 11.05.2024):
+- [PyPi](https://pypi.org/project/alphapy) (π₯ 2.4K / month Β· β±οΈ 29.08.2020):
```
- pip install autoviml
+ pip install alphapy
```
AlphaPy (π₯20 Β· β 1.1K Β· π€) - Python AutoML for Trading Systems and Sports Betting. Apache-2
+featurewiz (π₯21 Β· β 590) - Use advanced feature engineering strategies and select best.. Apache-2
-- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (π¨βπ» 5 Β· π 200 Β· π¦ 5 Β· π 42 - 30% open Β· β±οΈ 10.02.2024):
+- [GitHub](https://github.com/AutoViML/featurewiz) (π¨βπ» 18 Β· π 86 Β· π¦ 74 Β· π 96 - 4% open Β· β±οΈ 02.05.2024):
```
- git clone https://github.com/ScottfreeLLC/AlphaPy
+ git clone https://github.com/AutoViML/featurewiz
```
-- [PyPi](https://pypi.org/project/alphapy) (π₯ 820 / month Β· β±οΈ 29.08.2020):
+- [PyPi](https://pypi.org/project/featurewiz) (π₯ 40K / month Β· π¦ 2 Β· β±οΈ 10.02.2024):
```
- pip install alphapy
+ pip install featurewiz
```
opytimizer (π₯19 Β· β 600) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2
-- [GitHub](https://github.com/gugarosa/opytimizer) (π¨βπ» 4 Β· π 40 Β· π¦ 18 Β· β±οΈ 18.08.2024):
+- [GitHub](https://github.com/gugarosa/opytimizer) (π¨βπ» 4 Β· π 40 Β· π¦ 19 Β· β±οΈ 18.08.2024):
```
git clone https://github.com/gugarosa/opytimizer
```
-- [PyPi](https://pypi.org/project/opytimizer) (π₯ 700 / month Β· β±οΈ 18.08.2024):
+- [PyPi](https://pypi.org/project/opytimizer) (π₯ 800 / month Β· β±οΈ 18.08.2024):
```
pip install opytimizer
```
shap-hypetune (π₯18 Β· β 560 Β· π€) - A python package for simultaneous Hyperparameters Tuning and.. MIT
-- [GitHub](https://github.com/cerlymarco/shap-hypetune) (π¨βπ» 3 Β· π 69 Β· π¦ 19 Β· π 36 - 11% open Β· β±οΈ 21.02.2024):
+- [GitHub](https://github.com/cerlymarco/shap-hypetune) (π¨βπ» 3 Β· π 69 Β· π¦ 20 Β· π 36 - 11% open Β· β±οΈ 21.02.2024):
```
git clone https://github.com/cerlymarco/shap-hypetune
```
-- [PyPi](https://pypi.org/project/shap-hypetune) (π₯ 2.5K / month Β· π¦ 2 Β· β±οΈ 21.02.2024):
+- [PyPi](https://pypi.org/project/shap-hypetune) (π₯ 2.6K / month Β· π¦ 2 Β· β±οΈ 21.02.2024):
```
pip install shap-hypetune
```
@@ -4971,29 +4986,29 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
- auto-sklearn (π₯31 Β· β 7.6K Β· π) - Automated Machine Learning with scikit-learn. BSD-3 MIT BSD-3
+- AdaNet (π₯25 Β· β 3.5K Β· π) - Fast and flexible AutoML with learning guarantees. Apache-2 βοΈBSD-1-Clause
-- AdaNet (π₯24 Β· β 3.5K Β· π) - Fast and flexible AutoML with learning guarantees. Apache-2 βοΈGPL-3.0 MIT
- Orion (π₯22 Β· β 280 Β· π€) - Asynchronous Distributed Hyperparameter Optimization. BSD-3
+- igel (π₯21 Β· β 3.1K Β· π) - a delightful machine learning tool that allows you to train, test, and.. MIT
- MLBox (π₯21 Β· β 1.5K Β· π) - MLBox is a powerful Automated Machine Learning python library. βοΈBSD-1-Clause
+- sklearn-deap (π₯21 Β· β 770 Β· π) - Use evolutionary algorithms instead of gridsearch in.. MIT MIT
- HpBandSter (π₯21 Β· β 610 Β· π) - a distributed Hyperband implementation on Steroids. BSD-3
- Neuraxle (π₯21 Β· β 610 Β· π) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2
- optunity (π₯21 Β· β 420 Β· π) - optimization routines for hyperparameter tuning. BSD-3
-- igel (π₯20 Β· β 3.1K Β· π) - a delightful machine learning tool that allows you to train, test, and.. MIT
-- sklearn-deap (π₯20 Β· β 770 Β· π) - Use evolutionary algorithms instead of gridsearch in.. MIT MIT
- Auto Tune Models (π₯19 Β· β 520 Β· π) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT
- Advisor (π₯18 Β· β 1.5K Β· π) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2
- Xcessiv (π₯18 Β· β 1.3K Β· π) - A web-based application for quick, scalable, and automated.. Apache-2
- Sherpa (π₯18 Β· β 330 Β· π) - Hyperparameter optimization that enables researchers to.. βοΈGPL-3.0
-- HyperparameterHunter (π₯17 Β· β 700 Β· π) - Easy hyperparameter optimization and automatic result.. MIT
+- HyperparameterHunter (π₯17 Β· β 710 Β· π) - Easy hyperparameter optimization and automatic result.. MIT
- automl-gs (π₯16 Β· β 1.8K Β· π) - Provide an input CSV and a target field to predict, generate a.. MIT
- Parfit (π₯15 Β· β 200 Β· π) - A package for parallelizing the fit and flexibly scoring of.. MIT Apache-2
- Auptimizer (π₯13 Β· β 200 Β· π) - An automatic ML model optimization tool. βοΈGPL-3.0
-- Hypermax (π₯12 Β· β 110 Β· π€) - Better, faster hyper-parameter optimization. BSD-3
+- Hypermax (π₯13 Β· β 110 Β· π€) - Better, faster hyper-parameter optimization. BSD-3
- model_search (π₯11 Β· β 3.3K Β· π) - AutoML algorithms for model architecture search at scale. Apache-2
- Devol (π₯11 Β· β 950 Β· π) - Genetic neural architecture search with Keras. MIT
- Hypertunity (π₯10 Β· β 140 Β· π) - A toolset for black-box hyperparameter optimisation. Apache-2
@@ -5006,38 +5021,38 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
_Libraries for building and evaluating reinforcement learning & agent-based systems._
-FinRL (π₯31 Β· β 9.7K) - FinRL: Financial Reinforcement Learning. MIT
+FinRL (π₯31 Β· β 9.8K) - FinRL: Financial Reinforcement Learning. MIT
-- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 120 Β· π 2.4K Β· π¦ 48 Β· π 720 - 34% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 120 Β· π 2.4K Β· π¦ 51 Β· π 720 - 34% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/AI4Finance-Foundation/FinRL
```
-- [PyPi](https://pypi.org/project/finrl) (π₯ 1.2K / month Β· β±οΈ 08.01.2022):
+- [PyPi](https://pypi.org/project/finrl) (π₯ 1.6K / month Β· β±οΈ 08.01.2022):
```
pip install finrl
```
ViZDoom (π₯30 Β· β 1.7K) - Reinforcement Learning environments based on the 1993 game Doom. MIT
-- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (π¨βπ» 55 Β· π 380 Β· π₯ 12K Β· π¦ 270 Β· π 460 - 8% open Β· β±οΈ 08.09.2024):
+- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (π¨βπ» 55 Β· π 380 Β· π₯ 12K Β· π¦ 270 Β· π 460 - 6% open Β· β±οΈ 08.09.2024):
```
git clone https://github.com/mwydmuch/ViZDoom
```
-- [PyPi](https://pypi.org/project/vizdoom) (π₯ 2.5K / month Β· π¦ 15 Β· β±οΈ 20.08.2024):
+- [PyPi](https://pypi.org/project/vizdoom) (π₯ 3.9K / month Β· π¦ 15 Β· β±οΈ 20.08.2024):
```
pip install vizdoom
```
TF-Agents (π₯29 Β· β 2.8K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2
-- [GitHub](https://github.com/tensorflow/agents) (π¨βπ» 150 Β· π 710 Β· π 670 - 29% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/tensorflow/agents) (π¨βπ» 150 Β· π 720 Β· π 670 - 29% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/tensorflow/agents
```
-- [PyPi](https://pypi.org/project/tf-agents) (π₯ 120K / month Β· π¦ 14 Β· β±οΈ 14.12.2023):
+- [PyPi](https://pypi.org/project/tf-agents) (π₯ 110K / month Β· π¦ 14 Β· β±οΈ 14.12.2023):
```
pip install tf-agents
```
@@ -5049,7 +5064,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/deepmind/acme
```
-- [PyPi](https://pypi.org/project/dm-acme) (π₯ 1.3K / month Β· π¦ 3 Β· β±οΈ 10.02.2022):
+- [PyPi](https://pypi.org/project/dm-acme) (π₯ 1.6K / month Β· π¦ 3 Β· β±οΈ 10.02.2022):
```
pip install dm-acme
```
@@ -5065,57 +5080,45 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/google/dopamine
```
-- [PyPi](https://pypi.org/project/dopamine-rl) (π₯ 37K / month Β· π¦ 10 Β· β±οΈ 06.05.2024):
+- [PyPi](https://pypi.org/project/dopamine-rl) (π₯ 40K / month Β· π¦ 10 Β· β±οΈ 06.05.2024):
```
pip install dopamine-rl
```
TensorForce (π₯25 Β· β 3.3K) - Tensorforce: a TensorFlow library for applied.. Apache-2
+TensorForce (π₯26 Β· β 3.3K) - Tensorforce: a TensorFlow library for applied.. Apache-2
-- [GitHub](https://github.com/tensorforce/tensorforce) (π¨βπ» 85 Β· π 530 Β· π¦ 450 Β· π 680 - 6% open Β· β±οΈ 31.07.2024):
+- [GitHub](https://github.com/tensorforce/tensorforce) (π¨βπ» 85 Β· π 530 Β· π¦ 460 Β· π 680 - 6% open Β· β±οΈ 31.07.2024):
```
git clone https://github.com/tensorforce/tensorforce
```
-- [PyPi](https://pypi.org/project/tensorforce) (π₯ 1.1K / month Β· π¦ 4 Β· β±οΈ 30.08.2021):
+- [PyPi](https://pypi.org/project/tensorforce) (π₯ 1.2K / month Β· π¦ 4 Β· β±οΈ 30.08.2021):
```
pip install tensorforce
```
RLax (π₯25 Β· β 1.2K) - A library of reinforcement learning building blocks in JAX. Apache-2
-
-- [GitHub](https://github.com/google-deepmind/rlax) (π¨βπ» 21 Β· π 85 Β· π¦ 270 Β· π 26 - 30% open Β· β±οΈ 24.05.2024):
-
- ```
- git clone https://github.com/deepmind/rlax
- ```
-- [PyPi](https://pypi.org/project/rlax) (π₯ 24K / month Β· π¦ 11 Β· β±οΈ 09.01.2023):
- ```
- pip install rlax
- ```
-PARL (π₯23 Β· β 3.3K) - A high-performance distributed training framework for Reinforcement.. Apache-2
+PARL (π₯25 Β· β 3.3K Β· π) - A high-performance distributed training framework for.. Apache-2
- [GitHub](https://github.com/PaddlePaddle/PARL) (π¨βπ» 45 Β· π 820 Β· π¦ 130 Β· π 540 - 24% open Β· β±οΈ 09.07.2024):
```
git clone https://github.com/PaddlePaddle/PARL
```
-- [PyPi](https://pypi.org/project/parl) (π₯ 1K / month Β· π¦ 1 Β· β±οΈ 13.05.2022):
+- [PyPi](https://pypi.org/project/parl) (π₯ 1.3K / month Β· π¦ 1 Β· β±οΈ 13.05.2022):
```
pip install parl
```
PFRL (π₯23 Β· β 1.2K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT
+RLax (π₯25 Β· β 1.2K) - A library of reinforcement learning building blocks in JAX. Apache-2
-- [GitHub](https://github.com/pfnet/pfrl) (π¨βπ» 20 Β· π 150 Β· π¦ 110 Β· π 79 - 41% open Β· β±οΈ 04.08.2024):
+- [GitHub](https://github.com/google-deepmind/rlax) (π¨βπ» 21 Β· π 85 Β· π¦ 270 Β· π 26 - 30% open Β· β±οΈ 24.05.2024):
```
- git clone https://github.com/pfnet/pfrl
+ git clone https://github.com/deepmind/rlax
```
-- [PyPi](https://pypi.org/project/pfrl) (π₯ 790 / month Β· π¦ 1 Β· β±οΈ 16.07.2023):
+- [PyPi](https://pypi.org/project/rlax) (π₯ 23K / month Β· π¦ 11 Β· β±οΈ 09.01.2023):
```
- pip install pfrl
+ pip install rlax
```
ReAgent (π₯22 Β· β 3.6K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3
@@ -5125,12 +5128,24 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/facebookresearch/ReAgent
```
-- [PyPi](https://pypi.org/project/reagent) (π₯ 66 / month Β· β±οΈ 27.05.2020):
+- [PyPi](https://pypi.org/project/reagent) (π₯ 77 / month Β· β±οΈ 27.05.2020):
```
pip install reagent
```
rliable (π₯14 Β· β 750) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2
+PFRL (π₯22 Β· β 1.2K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT
+
+- [GitHub](https://github.com/pfnet/pfrl) (π¨βπ» 20 Β· π 150 Β· π¦ 120 Β· π 79 - 41% open Β· β±οΈ 04.08.2024):
+
+ ```
+ git clone https://github.com/pfnet/pfrl
+ ```
+- [PyPi](https://pypi.org/project/pfrl) (π₯ 970 / month Β· π¦ 1 Β· β±οΈ 16.07.2023):
+ ```
+ pip install pfrl
+ ```
+rliable (π₯14 Β· β 760) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2
- [GitHub](https://github.com/google-research/rliable) (π¨βπ» 9 Β· π 46 Β· π¦ 150 Β· π 17 - 5% open Β· β±οΈ 12.08.2024):
@@ -5145,15 +5160,15 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
Show 12 hidden projects...
- OpenAI Gym (π₯40 Β· β 35K Β· π) - A toolkit for developing and comparing reinforcement learning.. MIT
-- baselines (π₯29 Β· β 16K Β· π) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT
+- baselines (π₯30 Β· β 16K Β· π) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT
- keras-rl (π₯28 Β· β 5.5K Β· π) - Deep Reinforcement Learning for Keras. MIT Apache-2 MIT
-- garage (π₯25 Β· β 1.9K Β· π) - A toolkit for reproducible reinforcement learning research. MIT MIT MIT
- ChainerRL (π₯24 Β· β 1.2K Β· π) - ChainerRL is a deep reinforcement learning library built on top of.. MIT
- TRFL (π₯22 Β· β 3.1K Β· π) - TensorFlow Reinforcement Learning. Apache-2 Apache-2
-- SerpentAI (π₯19 Β· β 6.7K Β· π) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT
+- SerpentAI (π₯19 Β· β 6.8K Β· π) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT
- DeepMind Lab (π₯17 Β· β 7.1K Β· π) - A customisable 3D platform for agent-based AI research. βUnlicensed
- Maze (π₯13 Β· β 260 Β· π) - Maze Applied Reinforcement Learning Framework. βοΈCustom Recommenders (π₯35 Β· β 19K) - Best Practices on Recommendation Systems. MIT
-- [GitHub](https://github.com/recommenders-team/recommenders) (π¨βπ» 140 Β· π 3K Β· π₯ 590 Β· π¦ 120 Β· π 860 - 18% open Β· β±οΈ 11.09.2024):
+- [GitHub](https://github.com/recommenders-team/recommenders) (π¨βπ» 140 Β· π 3.1K Β· π₯ 590 Β· π¦ 120 Β· π 860 - 18% open Β· β±οΈ 11.09.2024):
```
git clone https://github.com/microsoft/recommenders
```
-- [PyPi](https://pypi.org/project/recommenders) (π₯ 33K / month Β· π¦ 4 Β· β±οΈ 01.05.2024):
+- [PyPi](https://pypi.org/project/recommenders) (π₯ 30K / month Β· π¦ 4 Β· β±οΈ 01.05.2024):
```
pip install recommenders
```
torchrec (π₯31 Β· β 1.9K) - Pytorch domain library for recommendation systems. BSD-3
+torchrec (π₯32 Β· β 1.9K) - Pytorch domain library for recommendation systems. BSD-3
-- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 270 Β· π 410 Β· π¦ 140 Β· π 420 - 71% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 280 Β· π 420 Β· π¦ 140 Β· π 420 - 71% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/pytorch/torchrec
```
-- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (π₯ 7.2K / month Β· β±οΈ 12.05.2022):
+- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (π₯ 9.2K / month Β· β±οΈ 12.05.2022):
```
pip install torchrec-nightly-cpu
```
@@ -5196,11 +5211,11 @@ _Libraries for building and evaluating recommendation systems._
```
git clone https://github.com/benfred/implicit
```
-- [PyPi](https://pypi.org/project/implicit) (π₯ 300K / month Β· π¦ 29 Β· β±οΈ 29.09.2023):
+- [PyPi](https://pypi.org/project/implicit) (π₯ 280K / month Β· π¦ 29 Β· β±οΈ 29.09.2023):
```
pip install implicit
```
-- [Conda](https://anaconda.org/conda-forge/implicit) (π₯ 860K Β· β±οΈ 23.08.2024):
+- [Conda](https://anaconda.org/conda-forge/implicit) (π₯ 870K Β· β±οΈ 23.08.2024):
```
conda install -c conda-forge implicit
```
@@ -5212,7 +5227,7 @@ _Libraries for building and evaluating recommendation systems._
```
git clone https://github.com/NicolasHug/Surprise
```
-- [PyPi](https://pypi.org/project/scikit-surprise) (π₯ 82K / month Β· π¦ 37 Β· β±οΈ 19.05.2024):
+- [PyPi](https://pypi.org/project/scikit-surprise) (π₯ 78K / month Β· π¦ 37 Β· β±οΈ 19.05.2024):
```
pip install scikit-surprise
```
@@ -5228,7 +5243,7 @@ _Libraries for building and evaluating recommendation systems._
```
git clone https://github.com/PreferredAI/cornac
```
-- [PyPi](https://pypi.org/project/cornac) (π₯ 44K / month Β· π¦ 18 Β· β±οΈ 15.08.2024):
+- [PyPi](https://pypi.org/project/cornac) (π₯ 48K / month Β· π¦ 18 Β· β±οΈ 15.08.2024):
```
pip install cornac
```
@@ -5239,12 +5254,12 @@ _Libraries for building and evaluating recommendation systems._
TF Ranking (π₯26 Β· β 2.7K Β· π€) - Learning to Rank in TensorFlow. Apache-2
-- [GitHub](https://github.com/tensorflow/ranking) (π¨βπ» 34 Β· π 470 Β· π 330 - 27% open Β· β±οΈ 18.03.2024):
+- [GitHub](https://github.com/tensorflow/ranking) (π¨βπ» 36 Β· π 470 Β· π 330 - 27% open Β· β±οΈ 18.03.2024):
```
git clone https://github.com/tensorflow/ranking
```
-- [PyPi](https://pypi.org/project/tensorflow_ranking) (π₯ 100K / month Β· π¦ 15 Β· β±οΈ 18.03.2024):
+- [PyPi](https://pypi.org/project/tensorflow_ranking) (π₯ 110K / month Β· π¦ 15 Β· β±οΈ 18.03.2024):
```
pip install tensorflow_ranking
```
@@ -5256,7 +5271,7 @@ _Libraries for building and evaluating recommendation systems._
```
git clone https://github.com/RUCAIBox/RecBole
```
-- [PyPi](https://pypi.org/project/recbole) (π₯ 53K / month Β· π¦ 2 Β· β±οΈ 31.10.2023):
+- [PyPi](https://pypi.org/project/recbole) (π₯ 45K / month Β· π¦ 2 Β· β±οΈ 31.10.2023):
```
pip install recbole
```
@@ -5265,26 +5280,26 @@ _Libraries for building and evaluating recommendation systems._
conda install -c aibox recbole
```
TF Recommenders (π₯25 Β· β 1.8K) - TensorFlow Recommenders is a library for building.. Apache-2
+TF Recommenders (π₯24 Β· β 1.8K) - TensorFlow Recommenders is a library for building.. Apache-2
- [GitHub](https://github.com/tensorflow/recommenders) (π¨βπ» 43 Β· π 270 Β· π 450 - 58% open Β· β±οΈ 16.08.2024):
```
git clone https://github.com/tensorflow/recommenders
```
-- [PyPi](https://pypi.org/project/tensorflow-recommenders) (π₯ 450K / month Β· π¦ 2 Β· β±οΈ 03.02.2023):
+- [PyPi](https://pypi.org/project/tensorflow-recommenders) (π₯ 440K / month Β· π¦ 2 Β· β±οΈ 03.02.2023):
```
pip install tensorflow-recommenders
```
recmetrics (π₯19 Β· β 560 Β· π€) - A library of metrics for evaluating recommender systems. MIT
-- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (π¨βπ» 20 Β· π 97 Β· π₯ 8 Β· π¦ 56 Β· π 29 - 44% open Β· β±οΈ 04.10.2023):
+- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (π¨βπ» 20 Β· π 97 Β· π₯ 8 Β· π¦ 58 Β· π 29 - 44% open Β· β±οΈ 04.10.2023):
```
git clone https://github.com/statisticianinstilettos/recmetrics
```
-- [PyPi](https://pypi.org/project/recmetrics) (π₯ 4.3K / month Β· β±οΈ 26.04.2022):
+- [PyPi](https://pypi.org/project/recmetrics) (π₯ 4.5K / month Β· β±οΈ 26.04.2022):
```
pip install recmetrics
```
@@ -5293,10 +5308,10 @@ _Libraries for building and evaluating recommendation systems._
- lightfm (π₯28 Β· β 4.7K Β· π) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2
- lkpy (π₯25 Β· β 260) - Python recommendation toolkit. MIT
+- fastFM (π₯22 Β· β 1.1K Β· π) - fastFM: A Library for Factorization Machines. BSD-3
- tensorrec (π₯21 Β· β 1.3K Β· π) - A TensorFlow recommendation algorithm and framework in.. Apache-2 BSD-3
+- Case Recommender (π₯19 Β· β 480 Β· π) - Case Recommender: A Flexible and Extensible Python.. MIT MIT MIT Apache-2
- Collie (π₯17 Β· β 110 Β· π) - A library for preparing, training, and evaluating scalable deep.. BSD-3 PySyft (π₯37 Β· β 9.5K) - Perform data science on data that remains in someone elses server. Apache-2
-- [GitHub](https://github.com/OpenMined/PySyft) (π¨βπ» 520 Β· π 2K Β· π₯ 2.5K Β· π¦ 1 Β· π 3.4K - 1% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/OpenMined/PySyft) (π¨βπ» 520 Β· π 2K Β· π₯ 2.3K Β· π¦ 1 Β· π 3.4K - 1% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/OpenMined/PySyft
```
-- [PyPi](https://pypi.org/project/syft) (π₯ 15K / month Β· π¦ 3 Β· β±οΈ 15.09.2024):
+- [PyPi](https://pypi.org/project/syft) (π₯ 18K / month Β· π¦ 4 Β· β±οΈ 06.10.2024):
```
pip install syft
```
Opacus (π₯32 Β· β 1.7K) - Training PyTorch models with differential privacy. Apache-2
-- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 81 Β· π 330 Β· π₯ 120 Β· π¦ 870 Β· π 310 - 23% open Β· β±οΈ 25.09.2024):
+- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 81 Β· π 330 Β· π₯ 120 Β· π¦ 880 Β· π 310 - 23% open Β· β±οΈ 25.09.2024):
```
git clone https://github.com/pytorch/opacus
```
-- [PyPi](https://pypi.org/project/opacus) (π₯ 230K / month Β· π¦ 36 Β· β±οΈ 03.08.2024):
+- [PyPi](https://pypi.org/project/opacus) (π₯ 220K / month Β· π¦ 36 Β· β±οΈ 03.08.2024):
```
pip install opacus
```
-- [Conda](https://anaconda.org/conda-forge/opacus) (π₯ 17K Β· β±οΈ 05.08.2024):
+- [Conda](https://anaconda.org/conda-forge/opacus) (π₯ 18K Β· β±οΈ 05.08.2024):
```
conda install -c conda-forge opacus
```
@@ -5360,28 +5375,28 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
pip install tensorflow-privacy
```
CrypTen (π₯24 Β· β 1.5K) - A framework for Privacy Preserving Machine Learning. MIT
+TFEncrypted (π₯25 Β· β 1.2K) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2
-- [GitHub](https://github.com/facebookresearch/CrypTen) (π¨βπ» 38 Β· π 270 Β· π¦ 44 Β· π 270 - 28% open Β· β±οΈ 18.07.2024):
+- [GitHub](https://github.com/tf-encrypted/tf-encrypted) (π¨βπ» 29 Β· π 210 Β· π¦ 68 Β· π 440 - 32% open Β· β±οΈ 25.09.2024):
```
- git clone https://github.com/facebookresearch/CrypTen
+ git clone https://github.com/tf-encrypted/tf-encrypted
```
-- [PyPi](https://pypi.org/project/crypten) (π₯ 410 / month Β· π¦ 1 Β· β±οΈ 08.12.2022):
+- [PyPi](https://pypi.org/project/tf-encrypted) (π₯ 1.9K / month Β· π¦ 9 Β· β±οΈ 16.11.2022):
```
- pip install crypten
+ pip install tf-encrypted
```
TFEncrypted (π₯24 Β· β 1.2K) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2
+CrypTen (π₯24 Β· β 1.5K) - A framework for Privacy Preserving Machine Learning. MIT
-- [GitHub](https://github.com/tf-encrypted/tf-encrypted) (π¨βπ» 29 Β· π 210 Β· π¦ 67 Β· π 440 - 32% open Β· β±οΈ 25.09.2024):
+- [GitHub](https://github.com/facebookresearch/CrypTen) (π¨βπ» 38 Β· π 270 Β· π¦ 45 Β· π 270 - 28% open Β· β±οΈ 18.07.2024):
```
- git clone https://github.com/tf-encrypted/tf-encrypted
+ git clone https://github.com/facebookresearch/CrypTen
```
-- [PyPi](https://pypi.org/project/tf-encrypted) (π₯ 880 / month Β· π¦ 9 Β· β±οΈ 16.11.2022):
+- [PyPi](https://pypi.org/project/crypten) (π₯ 500 / month Β· π¦ 1 Β· β±οΈ 08.12.2022):
```
- pip install tf-encrypted
+ pip install crypten
```
Show 1 hidden projects...
@@ -5396,14 +5411,14 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
_Libraries to organize, track, and visualize machine learning experiments._
-mlflow (π₯43 Β· β 18K Β· π) - Open source platform for the machine learning lifecycle. Apache-2
+mlflow (π₯43 Β· β 18K) - Open source platform for the machine learning lifecycle. Apache-2
-- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 780 Β· π 4.2K Β· π¦ 43K Β· π 4.2K - 38% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 780 Β· π 4.2K Β· π¦ 44K Β· π 4.2K - 38% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/mlflow/mlflow
```
-- [PyPi](https://pypi.org/project/mlflow) (π₯ 14M / month Β· π¦ 870 Β· β±οΈ 27.09.2024):
+- [PyPi](https://pypi.org/project/mlflow) (π₯ 15M / month Β· π¦ 880 Β· β±οΈ 27.09.2024):
```
pip install mlflow
```
@@ -5414,7 +5429,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
DVC (π₯42 Β· β 14K) - ML Experiments and Data Management with Git. Apache-2
-- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 300 Β· π 1.2K Β· π¦ 18K Β· π 4.7K - 4% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 300 Β· π 1.2K Β· π¦ 18K Β· π 4.7K - 4% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/iterative/dvc
@@ -5423,51 +5438,51 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
pip install dvc
```
-- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 2.2M Β· β±οΈ 02.09.2024):
+- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 2.3M Β· β±οΈ 02.09.2024):
```
conda install -c conda-forge dvc
```
wandb client (π₯42 Β· β 9K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT
-- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 190 Β· π 660 Β· π₯ 320 Β· π¦ 55K Β· π 3.3K - 26% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 190 Β· π 660 Β· π₯ 330 Β· π¦ 55K Β· π 3.3K - 26% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/wandb/client
```
-- [PyPi](https://pypi.org/project/wandb) (π₯ 17M / month Β· π¦ 1.4K Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/wandb) (π₯ 19M / month Β· π¦ 1.4K Β· β±οΈ 01.10.2024):
```
pip install wandb
```
-- [Conda](https://anaconda.org/conda-forge/wandb) (π₯ 640K Β· β±οΈ 24.09.2024):
+- [Conda](https://anaconda.org/conda-forge/wandb) (π₯ 660K Β· β±οΈ 08.10.2024):
```
conda install -c conda-forge wandb
```
Tensorboard (π₯42 Β· β 6.7K) - TensorFlows Visualization Toolkit. Apache-2
-- [GitHub](https://github.com/tensorflow/tensorboard) (π¨βπ» 320 Β· π 1.7K Β· π¦ 260K Β· π 1.9K - 35% open Β· β±οΈ 26.09.2024):
+- [GitHub](https://github.com/tensorflow/tensorboard) (π¨βπ» 320 Β· π 1.7K Β· π¦ 260K Β· π 1.9K - 35% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/tensorflow/tensorboard
```
-- [PyPi](https://pypi.org/project/tensorboard) (π₯ 21M / month Β· π¦ 2.2K Β· β±οΈ 25.09.2024):
+- [PyPi](https://pypi.org/project/tensorboard) (π₯ 22M / month Β· π¦ 2.2K Β· β±οΈ 25.09.2024):
```
pip install tensorboard
```
-- [Conda](https://anaconda.org/conda-forge/tensorboard) (π₯ 5M Β· β±οΈ 27.09.2024):
+- [Conda](https://anaconda.org/conda-forge/tensorboard) (π₯ 5.1M Β· β±οΈ 27.09.2024):
```
conda install -c conda-forge tensorboard
```
SageMaker SDK (π₯41 Β· β 2.1K) - A library for training and deploying machine learning.. Apache-2
-- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 460 Β· π 1.1K Β· π¦ 4.5K Β· π 1.5K - 20% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 460 Β· π 1.1K Β· π¦ 4.5K Β· π 1.5K - 20% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/aws/sagemaker-python-sdk
```
-- [PyPi](https://pypi.org/project/sagemaker) (π₯ 31M / month Β· π¦ 140 Β· β±οΈ 19.09.2024):
+- [PyPi](https://pypi.org/project/sagemaker) (π₯ 31M / month Β· π¦ 150 Β· β±οΈ 03.10.2024):
```
pip install sagemaker
```
@@ -5476,46 +5491,46 @@ _Libraries to organize, track, and visualize machine learning experiments._
conda install -c conda-forge sagemaker-python-sdk
```
PyCaret (π₯37 Β· β 8.8K) - An open-source, low-code machine learning library in Python. MIT
+PyCaret (π₯36 Β· β 8.9K Β· π) - An open-source, low-code machine learning library in Python. MIT
- [GitHub](https://github.com/pycaret/pycaret) (π¨βπ» 140 Β· π 1.7K Β· π₯ 710 Β· π¦ 6.4K Β· π 2.3K - 15% open Β· β±οΈ 30.08.2024):
```
git clone https://github.com/pycaret/pycaret
```
-- [PyPi](https://pypi.org/project/pycaret) (π₯ 270K / month Β· π¦ 31 Β· β±οΈ 28.04.2024):
+- [PyPi](https://pypi.org/project/pycaret) (π₯ 280K / month Β· π¦ 31 Β· β±οΈ 28.04.2024):
```
pip install pycaret
```
-- [Conda](https://anaconda.org/conda-forge/pycaret) (π₯ 55K Β· β±οΈ 25.04.2024):
+- [Conda](https://anaconda.org/conda-forge/pycaret) (π₯ 56K Β· β±οΈ 25.04.2024):
```
conda install -c conda-forge pycaret
```
Metaflow (π₯34 Β· β 8.1K) - Open Source Platform for developing, scaling and deploying serious.. Apache-2
-- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 95 Β· π 760 Β· π¦ 720 Β· π 740 - 43% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 95 Β· π 760 Β· π¦ 730 Β· π 740 - 44% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/Netflix/metaflow
```
-- [PyPi](https://pypi.org/project/metaflow) (π₯ 920K / month Β· π¦ 45 Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/metaflow) (π₯ 920K / month Β· π¦ 45 Β· β±οΈ 07.10.2024):
```
pip install metaflow
```
-- [Conda](https://anaconda.org/conda-forge/metaflow) (π₯ 210K Β· β±οΈ 01.10.2024):
+- [Conda](https://anaconda.org/conda-forge/metaflow) (π₯ 220K Β· β±οΈ 08.10.2024):
```
conda install -c conda-forge metaflow
```
ClearML (π₯34 Β· β 5.6K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2
-- [GitHub](https://github.com/allegroai/clearml) (π¨βπ» 100 Β· π 650 Β· π₯ 2.9K Β· π¦ 1.3K Β· π 1.1K - 46% open Β· β±οΈ 29.09.2024):
+- [GitHub](https://github.com/allegroai/clearml) (π¨βπ» 100 Β· π 650 Β· π₯ 2.9K Β· π¦ 1.3K Β· π 1.1K - 46% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/allegroai/clearml
```
-- [PyPi](https://pypi.org/project/clearml) (π₯ 360K / month Β· π¦ 40 Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/clearml) (π₯ 340K / month Β· π¦ 40 Β· β±οΈ 01.10.2024):
```
pip install clearml
```
@@ -5526,16 +5541,16 @@ _Libraries to organize, track, and visualize machine learning experiments._
snakemake (π₯34 Β· β 2.2K) - This is the development home of the workflow management system.. MIT
-- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 340 Β· π 540 Β· π¦ 2.1K Β· π 1.8K - 62% open Β· β±οΈ 25.09.2024):
+- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 340 Β· π 550 Β· π¦ 2.1K Β· π 1.8K - 62% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/snakemake/snakemake
```
-- [PyPi](https://pypi.org/project/snakemake) (π₯ 110K / month Β· π¦ 230 Β· β±οΈ 25.09.2024):
+- [PyPi](https://pypi.org/project/snakemake) (π₯ 120K / month Β· π¦ 230 Β· β±οΈ 07.10.2024):
```
pip install snakemake
```
-- [Conda](https://anaconda.org/bioconda/snakemake) (π₯ 1.2M Β· β±οΈ 25.09.2024):
+- [Conda](https://anaconda.org/bioconda/snakemake) (π₯ 1.2M Β· β±οΈ 07.10.2024):
```
conda install -c bioconda snakemake
```
@@ -5558,7 +5573,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
kaggle (π₯32 Β· β 6.2K) - Official Kaggle API. Apache-2
-- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 47 Β· π 1.1K Β· π¦ 21 Β· π 490 - 30% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 47 Β· π 1.1K Β· π¦ 21 Β· π 490 - 30% open Β· β±οΈ 07.10.2024):
```
git clone https://github.com/Kaggle/kaggle-api
@@ -5574,16 +5589,16 @@ _Libraries to organize, track, and visualize machine learning experiments._
aim (π₯32 Β· β 5.2K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2
-- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 76 Β· π 320 Β· π¦ 690 Β· π 1K - 36% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 76 Β· π 320 Β· π¦ 700 Β· π 1K - 36% open Β· β±οΈ 02.10.2024):
```
git clone https://github.com/aimhubio/aim
```
-- [PyPi](https://pypi.org/project/aim) (π₯ 170K / month Β· π¦ 38 Β· β±οΈ 02.10.2024):
+- [PyPi](https://pypi.org/project/aim) (π₯ 350K / month Β· π¦ 38 Β· β±οΈ 09.10.2024):
```
pip install aim
```
-- [Conda](https://anaconda.org/conda-forge/aim) (π₯ 78K Β· β±οΈ 14.06.2024):
+- [Conda](https://anaconda.org/conda-forge/aim) (π₯ 80K Β· β±οΈ 14.06.2024):
```
conda install -c conda-forge aim
```
@@ -5595,7 +5610,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/IDSIA/sacred
```
-- [PyPi](https://pypi.org/project/sacred) (π₯ 200K / month Β· π¦ 60 Β· β±οΈ 26.08.2024):
+- [PyPi](https://pypi.org/project/sacred) (π₯ 210K / month Β· π¦ 60 Β· β±οΈ 26.08.2024):
```
pip install sacred
```
@@ -5618,12 +5633,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
Neptune.ai (π₯29 Β· β 580) - The experiment tracker for foundation model training. Apache-2
-- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 54 Β· π 63 Β· π¦ 610 Β· π 240 - 12% open Β· β±οΈ 26.09.2024):
+- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 54 Β· π 63 Β· π¦ 620 Β· π 240 - 12% open Β· β±οΈ 26.09.2024):
```
git clone https://github.com/neptune-ai/neptune-client
```
-- [PyPi](https://pypi.org/project/neptune-client) (π₯ 500K / month Β· π¦ 77 Β· β±οΈ 02.10.2024):
+- [PyPi](https://pypi.org/project/neptune-client) (π₯ 510K / month Β· π¦ 77 Β· β±οΈ 02.10.2024):
```
pip install neptune-client
```
@@ -5632,45 +5647,45 @@ _Libraries to organize, track, and visualize machine learning experiments._
conda install -c conda-forge neptune-client
```
Labml (π₯27 Β· β 2K) - Monitor deep learning model training and hardware usage from your mobile phone. MIT
+Labml (π₯28 Β· β 2K) - Monitor deep learning model training and hardware usage from your mobile phone. MIT
-- [GitHub](https://github.com/labmlai/labml) (π¨βπ» 9 Β· π 140 Β· π¦ 170 Β· π 47 - 10% open Β· β±οΈ 26.09.2024):
+- [GitHub](https://github.com/labmlai/labml) (π¨βπ» 9 Β· π 140 Β· π¦ 170 Β· π 47 - 10% open Β· β±οΈ 07.10.2024):
```
git clone https://github.com/labmlai/labml
```
-- [PyPi](https://pypi.org/project/labml) (π₯ 5.9K / month Β· π¦ 14 Β· β±οΈ 15.09.2024):
+- [PyPi](https://pypi.org/project/labml) (π₯ 9.4K / month Β· π¦ 14 Β· β±οΈ 15.09.2024):
```
pip install labml
```
TNT (π₯26 Β· β 1.7K) - A lightweight library for PyTorch training tools and utilities. BSD-3
-- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 130 Β· π 270 Β· π 140 - 54% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 130 Β· π 270 Β· π 140 - 54% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/pytorch/tnt
```
-- [PyPi](https://pypi.org/project/torchnet) (π₯ 5.3K / month Β· π¦ 24 Β· β±οΈ 29.07.2018):
+- [PyPi](https://pypi.org/project/torchnet) (π₯ 5.7K / month Β· π¦ 24 Β· β±οΈ 29.07.2018):
```
pip install torchnet
```
quinn (π₯26 Β· β 630) - pyspark methods to enhance developer productivity. Apache-2
-- [GitHub](https://github.com/mrpowers-io/quinn) (π¨βπ» 31 Β· π 96 Β· π₯ 39 Β· π¦ 84 Β· π 130 - 26% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/mrpowers-io/quinn) (π¨βπ» 32 Β· π 97 Β· π₯ 40 Β· π¦ 85 Β· π 130 - 26% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/MrPowers/quinn
```
-- [PyPi](https://pypi.org/project/quinn) (π₯ 660K / month Β· π¦ 7 Β· β±οΈ 13.02.2024):
+- [PyPi](https://pypi.org/project/quinn) (π₯ 650K / month Β· π¦ 7 Β· β±οΈ 13.02.2024):
```
pip install quinn
```
ml-metadata (π₯26 Β· β 620) - For recording and retrieving metadata associated with ML.. Apache-2
-- [GitHub](https://github.com/google/ml-metadata) (π¨βπ» 19 Β· π 140 Β· π₯ 2.7K Β· π¦ 560 Β· π 120 - 39% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/google/ml-metadata) (π¨βπ» 20 Β· π 140 Β· π₯ 2.7K Β· π¦ 570 Β· π 120 - 39% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/google/ml-metadata
@@ -5682,24 +5697,24 @@ _Libraries to organize, track, and visualize machine learning experiments._
gokart (π₯25 Β· β 310) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT
-- [GitHub](https://github.com/m3dev/gokart) (π¨βπ» 41 Β· π 57 Β· π¦ 80 Β· π 83 - 24% open Β· β±οΈ 29.09.2024):
+- [GitHub](https://github.com/m3dev/gokart) (π¨βπ» 41 Β· π 57 Β· π¦ 81 Β· π 83 - 24% open Β· β±οΈ 29.09.2024):
```
git clone https://github.com/m3dev/gokart
```
-- [PyPi](https://pypi.org/project/gokart) (π₯ 4.1K / month Β· π¦ 8 Β· β±οΈ 19.09.2024):
+- [PyPi](https://pypi.org/project/gokart) (π₯ 5.5K / month Β· π¦ 8 Β· β±οΈ 19.09.2024):
```
pip install gokart
```
caliban (π₯16 Β· β 490 Β· π€) - Research workflows made easy, locally and in the Cloud. Apache-2
-- [GitHub](https://github.com/google/caliban) (π¨βπ» 10 Β· π 66 Β· π¦ 3 Β· π 34 - 55% open Β· β±οΈ 25.01.2024):
+- [GitHub](https://github.com/google/caliban) (π¨βπ» 10 Β· π 66 Β· π¦ 4 Β· π 34 - 55% open Β· β±οΈ 25.01.2024):
```
git clone https://github.com/google/caliban
```
-- [PyPi](https://pypi.org/project/caliban) (π₯ 330 / month Β· β±οΈ 12.09.2020):
+- [PyPi](https://pypi.org/project/caliban) (π₯ 650 / month Β· β±οΈ 12.09.2020):
```
pip install caliban
```
@@ -5711,7 +5726,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/comet-ml/examples
```
-- [PyPi](https://pypi.org/project/comet_ml) (π₯ 600K / month Β· π¦ 77 Β· β±οΈ 26.09.2024):
+- [PyPi](https://pypi.org/project/comet_ml) (π₯ 670K / month Β· π¦ 77 Β· β±οΈ 26.09.2024):
```
pip install comet_ml
```
@@ -5751,23 +5766,23 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (π₯43 Β· β 18K) - Open standard for machine learning interoperability. Apache-2
-- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 320 Β· π 3.7K Β· π₯ 22K Β· π¦ 34K Β· π 2.9K - 11% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 320 Β· π 3.7K Β· π₯ 22K Β· π¦ 34K Β· π 2.9K - 12% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/onnx/onnx
```
-- [PyPi](https://pypi.org/project/onnx) (π₯ 5.4M / month Β· π¦ 1K Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/onnx) (π₯ 5.5M / month Β· π¦ 1.1K Β· β±οΈ 01.10.2024):
```
pip install onnx
```
-- [Conda](https://anaconda.org/conda-forge/onnx) (π₯ 1.3M Β· β±οΈ 25.09.2024):
+- [Conda](https://anaconda.org/conda-forge/onnx) (π₯ 1.3M Β· β±οΈ 05.10.2024):
```
conda install -c conda-forge onnx
```
triton (π₯43 Β· β 13K) - Development repository for the Triton language and compiler. MIT
-- [GitHub](https://github.com/triton-lang/triton) (π¨βπ» 330 Β· π 1.6K Β· π¦ 38K Β· π 1.4K - 45% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/triton-lang/triton) (π¨βπ» 330 Β· π 1.6K Β· π¦ 39K Β· π 1.4K - 45% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/openai/triton
@@ -5779,23 +5794,23 @@ _Libraries to serialize models to files, convert between a variety of model form
huggingface_hub (π₯38 Β· β 2K) - The official Python client for the Huggingface Hub. Apache-2
-- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 200 Β· π 530 Β· π 960 - 16% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 200 Β· π 530 Β· π 970 - 15% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/huggingface/huggingface_hub
```
-- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 43M / month Β· π¦ 1.8K Β· β±οΈ 23.09.2024):
+- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 43M / month Β· π¦ 1.9K Β· β±οΈ 09.10.2024):
```
pip install huggingface_hub
```
-- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (π₯ 2.2M Β· β±οΈ 23.09.2024):
+- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (π₯ 2.2M Β· β±οΈ 09.10.2024):
```
conda install -c conda-forge huggingface_hub
```
BentoML (π₯35 Β· β 7K) - The easiest way to serve AI apps and models - Build reliable Inference.. Apache-2
+BentoML (π₯35 Β· β 7.1K) - The easiest way to serve AI apps and models - Build reliable.. Apache-2
-- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 210 Β· π 780 Β· π₯ 1.2K Β· π¦ 2.1K Β· π 1.1K - 15% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 210 Β· π 780 Β· π₯ 1.2K Β· π¦ 2.1K Β· π 1.1K - 15% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/bentoml/BentoML
@@ -5807,16 +5822,16 @@ _Libraries to serialize models to files, convert between a variety of model form
TorchServe (π₯35 Β· β 4.2K) - Serve, optimize and scale PyTorch models in production. Apache-2
-- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 220 Β· π 850 Β· π₯ 6.6K Β· π¦ 720 Β· π 1.7K - 24% open Β· β±οΈ 24.09.2024):
+- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 220 Β· π 850 Β· π₯ 6.9K Β· π¦ 730 Β· π 1.7K - 24% open Β· β±οΈ 03.10.2024):
```
git clone https://github.com/pytorch/serve
```
-- [PyPi](https://pypi.org/project/torchserve) (π₯ 52K / month Β· π¦ 22 Β· β±οΈ 30.09.2024):
+- [PyPi](https://pypi.org/project/torchserve) (π₯ 53K / month Β· π¦ 22 Β· β±οΈ 30.09.2024):
```
pip install torchserve
```
-- [Conda](https://anaconda.org/pytorch/torchserve) (π₯ 270K Β· β±οΈ 30.09.2024):
+- [Conda](https://anaconda.org/pytorch/torchserve):
```
conda install -c pytorch torchserve
```
@@ -5827,16 +5842,16 @@ _Libraries to serialize models to files, convert between a variety of model form
Core ML Tools (π₯34 Β· β 4.4K) - Core ML tools contain supporting tools for Core ML model.. BSD-3
-- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 180 Β· π 630 Β· π₯ 12K Β· π¦ 4.2K Β· π 1.4K - 24% open Β· β±οΈ 23.09.2024):
+- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 180 Β· π 630 Β· π₯ 12K Β· π¦ 4.2K Β· π 1.4K - 24% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/apple/coremltools
```
-- [PyPi](https://pypi.org/project/coremltools) (π₯ 370K / month Β· π¦ 81 Β· β±οΈ 16.09.2024):
+- [PyPi](https://pypi.org/project/coremltools) (π₯ 400K / month Β· π¦ 81 Β· β±οΈ 16.09.2024):
```
pip install coremltools
```
-- [Conda](https://anaconda.org/conda-forge/coremltools) (π₯ 70K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/coremltools) (π₯ 71K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge coremltools
```
@@ -5848,7 +5863,7 @@ _Libraries to serialize models to files, convert between a variety of model form
```
git clone https://github.com/fastmachinelearning/hls4ml
```
-- [PyPi](https://pypi.org/project/hls4ml) (π₯ 1.1K / month Β· β±οΈ 19.12.2023):
+- [PyPi](https://pypi.org/project/hls4ml) (π₯ 1.4K / month Β· β±οΈ 19.12.2023):
```
pip install hls4ml
```
@@ -5859,12 +5874,12 @@ _Libraries to serialize models to files, convert between a variety of model form
Hummingbird (π₯25 Β· β 3.3K) - Hummingbird compiles trained ML models into tensor computation for.. MIT
-- [GitHub](https://github.com/microsoft/hummingbird) (π¨βπ» 40 Β· π 280 Β· π₯ 690 Β· π 330 - 21% open Β· β±οΈ 27.09.2024):
+- [GitHub](https://github.com/microsoft/hummingbird) (π¨βπ» 40 Β· π 280 Β· π₯ 700 Β· π 330 - 21% open Β· β±οΈ 27.09.2024):
```
git clone https://github.com/microsoft/hummingbird
```
-- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 7.3K / month Β· π¦ 7 Β· β±οΈ 08.03.2024):
+- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 7.8K / month Β· π¦ 7 Β· β±οΈ 08.03.2024):
```
pip install hummingbird-ml
```
@@ -5873,14 +5888,14 @@ _Libraries to serialize models to files, convert between a variety of model form
conda install -c conda-forge hummingbird-ml
```
nebullvm (π₯21 Β· β 8.4K Β· π) - A collection of libraries to optimise AI model performances. Apache-2
+nebullvm (π₯22 Β· β 8.4K) - A collection of libraries to optimise AI model performances. Apache-2
- [GitHub](https://github.com/nebuly-ai/optimate) (π¨βπ» 40 Β· π 640 Β· π 200 - 49% open Β· β±οΈ 22.07.2024):
```
git clone https://github.com/nebuly-ai/nebullvm
```
-- [PyPi](https://pypi.org/project/nebullvm) (π₯ 1.1K / month Β· π¦ 2 Β· β±οΈ 18.06.2023):
+- [PyPi](https://pypi.org/project/nebullvm) (π₯ 1.4K / month Β· π¦ 2 Β· β±οΈ 18.06.2023):
```
pip install nebullvm
```
@@ -5892,7 +5907,7 @@ _Libraries to serialize models to files, convert between a variety of model form
```
git clone https://github.com/riga/tfdeploy
```
-- [PyPi](https://pypi.org/project/tfdeploy) (π₯ 280 / month Β· β±οΈ 30.03.2017):
+- [PyPi](https://pypi.org/project/tfdeploy) (π₯ 520 / month Β· β±οΈ 30.03.2017):
```
pip install tfdeploy
```
@@ -5902,12 +5917,12 @@ _Libraries to serialize models to files, convert between a variety of model form
- m2cgen (π₯26 Β· β 2.8K Β· π) - Transform ML models into a native code (Java, C, Python, Go,.. MIT
- mmdnn (π₯25 Β· β 5.8K Β· π) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT
- sklearn-porter (π₯24 Β· β 1.3K Β· π) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 Apache-2
+- cortex (π₯23 Β· β 8K Β· π) - Production infrastructure for machine learning at scale. Apache-2
- OMLT (π₯21 Β· β 270) - Represent trained machine learning models as Pyomo optimization.. βUnlicensed
- Larq Compute Engine (π₯21 Β· β 240) - Highly optimized inference engine for Binarized.. Apache-2
- pytorch2keras (π₯19 Β· β 860 Β· π) - PyTorch to Keras model convertor. MIT
- modelkit (π₯17 Β· β 160) - Toolkit for developing and maintaining ML models. MIT
-- backprop (π₯15 Β· β 240 Β· π) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2
+- backprop (π₯16 Β· β 240 Β· π) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2
- ml-ane-transformers (π₯13 Β· β 2.5K Β· π) - Reference implementation of the Transformer.. βUnlicensed
@@ -5920,12 +5935,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (π₯43 Β· β 23K) - A game theoretic approach to explain the output of any machine learning model. MIT
-- [GitHub](https://github.com/shap/shap) (π¨βπ» 250 Β· π 3.3K Β· π¦ 21K Β· π 2.5K - 29% open Β· β±οΈ 24.09.2024):
+- [GitHub](https://github.com/shap/shap) (π¨βπ» 250 Β· π 3.3K Β· π¦ 21K Β· π 2.5K - 29% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/slundberg/shap
```
-- [PyPi](https://pypi.org/project/shap) (π₯ 6.7M / month Β· π¦ 750 Β· β±οΈ 27.06.2024):
+- [PyPi](https://pypi.org/project/shap) (π₯ 6.8M / month Β· π¦ 750 Β· β±οΈ 27.06.2024):
```
pip install shap
```
@@ -5936,19 +5951,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Netron (π₯37 Β· β 28K) - Visualizer for neural network, deep learning and machine learning.. MIT
-- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.8K Β· π₯ 68K Β· π¦ 570 Β· π 1.1K - 2% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.8K Β· π₯ 55K Β· π¦ 570 Β· π 1.1K - 2% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/lutzroeder/netron
```
-- [PyPi](https://pypi.org/project/netron) (π₯ 35K / month Β· π¦ 83 Β· β±οΈ 29.09.2024):
+- [PyPi](https://pypi.org/project/netron) (π₯ 33K / month Β· π¦ 83 Β· β±οΈ 06.10.2024):
```
pip install netron
```
arviz (π₯36 Β· β 1.6K) - Exploratory analysis of Bayesian models with Python. Apache-2
-- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 160 Β· π 390 Β· π₯ 160 Β· π¦ 7.7K Β· π 860 - 20% open Β· β±οΈ 28.09.2024):
+- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 160 Β· π 400 Β· π₯ 160 Β· π¦ 7.8K Β· π 870 - 20% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/arviz-devs/arviz
@@ -5964,28 +5979,28 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
InterpretML (π₯33 Β· β 6.2K) - Fit interpretable models. Explain blackbox machine learning. MIT
-- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 46 Β· π 720 Β· π¦ 750 Β· π 450 - 23% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 46 Β· π 720 Β· π¦ 760 Β· π 450 - 23% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/interpretml/interpret
```
-- [PyPi](https://pypi.org/project/interpret) (π₯ 95K / month Β· π¦ 49 Β· β±οΈ 28.09.2024):
+- [PyPi](https://pypi.org/project/interpret) (π₯ 98K / month Β· π¦ 49 Β· β±οΈ 28.09.2024):
```
pip install interpret
```
Captum (π₯33 Β· β 4.8K) - Model interpretability and understanding for PyTorch. BSD-3
+Captum (π₯33 Β· β 4.9K) - Model interpretability and understanding for PyTorch. BSD-3
-- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 120 Β· π 480 Β· π¦ 2.4K Β· π 540 - 37% open Β· β±οΈ 26.09.2024):
+- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 120 Β· π 480 Β· π¦ 2.4K Β· π 570 - 40% open Β· β±οΈ 26.09.2024):
```
git clone https://github.com/pytorch/captum
```
-- [PyPi](https://pypi.org/project/captum) (π₯ 260K / month):
+- [PyPi](https://pypi.org/project/captum) (π₯ 260K / month Β· π¦ 130 Β· β±οΈ 05.12.2023):
```
pip install captum
```
-- [Conda](https://anaconda.org/conda-forge/captum) (π₯ 70K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/captum) (π₯ 73K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge captum
```
@@ -6004,28 +6019,28 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shapash (π₯30 Β· β 2.7K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2
-- [GitHub](https://github.com/MAIF/shapash) (π¨βπ» 38 Β· π 330 Β· π¦ 170 Β· π 200 - 17% open Β· β±οΈ 17.09.2024):
+- [GitHub](https://github.com/MAIF/shapash) (π¨βπ» 40 Β· π 330 Β· π¦ 180 Β· π 210 - 17% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/MAIF/shapash
```
-- [PyPi](https://pypi.org/project/shapash) (π₯ 26K / month Β· π¦ 4 Β· β±οΈ 04.07.2024):
+- [PyPi](https://pypi.org/project/shapash) (π₯ 29K / month Β· π¦ 4 Β· β±οΈ 10.10.2024):
```
pip install shapash
```
DoWhy (π₯29 Β· β 7K) - DoWhy is a Python library for causal inference that supports explicit modeling.. MIT
+DoWhy (π₯29 Β· β 7.1K) - DoWhy is a Python library for causal inference that supports explicit.. MIT
-- [GitHub](https://github.com/py-why/dowhy) (π¨βπ» 92 Β· π 910 Β· π₯ 40 Β· π¦ 430 Β· π 480 - 27% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/py-why/dowhy) (π¨βπ» 94 Β· π 910 Β· π₯ 40 Β· π¦ 430 Β· π 480 - 27% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/py-why/dowhy
```
-- [PyPi](https://pypi.org/project/dowhy) (π₯ 54K / month Β· π¦ 7 Β· β±οΈ 25.12.2023):
+- [PyPi](https://pypi.org/project/dowhy) (π₯ 56K / month Β· π¦ 7 Β· β±οΈ 25.12.2023):
```
pip install dowhy
```
-- [Conda](https://anaconda.org/conda-forge/dowhy):
+- [Conda](https://anaconda.org/conda-forge/dowhy) (π₯ 33K Β· β±οΈ 26.01.2024):
```
conda install -c conda-forge dowhy
```
@@ -6037,7 +6052,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/oegedijk/explainerdashboard
```
-- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 82K / month Β· π¦ 10 Β· β±οΈ 18.03.2024):
+- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 83K / month Β· π¦ 10 Β· β±οΈ 18.03.2024):
```
pip install explainerdashboard
```
@@ -6046,36 +6061,32 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge explainerdashboard
```
fairlearn (π₯29 Β· β 1.9K) - A Python package to assess and improve fairness of machine.. MIT
+pyLDAvis (π₯29 Β· β 1.8K) - Python library for interactive topic model visualization. Port of.. BSD-3
-- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 84 Β· π 410 Β· π¦ 3 Β· π 480 - 33% open Β· β±οΈ 24.09.2024):
+- [GitHub](https://github.com/bmabey/pyLDAvis) (π¨βπ» 42 Β· π 360 Β· π¦ 6.5K Β· π 190 - 40% open Β· β±οΈ 29.04.2024):
```
- git clone https://github.com/fairlearn/fairlearn
+ git clone https://github.com/bmabey/pyLDAvis
```
-- [PyPi](https://pypi.org/project/fairlearn) (π₯ 170K / month Β· π¦ 55 Β· β±οΈ 19.12.2023):
+- [PyPi](https://pypi.org/project/pyldavis) (π₯ 130K / month Β· π¦ 100 Β· β±οΈ 23.04.2023):
```
- pip install fairlearn
+ pip install pyldavis
```
-- [Conda](https://anaconda.org/conda-forge/fairlearn) (π₯ 36K Β· β±οΈ 20.12.2023):
+- [Conda](https://anaconda.org/conda-forge/pyldavis) (π₯ 87K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge fairlearn
+ conda install -c conda-forge pyldavis
```
pyLDAvis (π₯29 Β· β 1.8K) - Python library for interactive topic model visualization. Port of.. BSD-3
+Model Analysis (π₯29 Β· β 1.3K) - Model analysis tools for TensorFlow. Apache-2
-- [GitHub](https://github.com/bmabey/pyLDAvis) (π¨βπ» 42 Β· π 360 Β· π¦ 6.5K Β· π 190 - 40% open Β· β±οΈ 29.04.2024):
+- [GitHub](https://github.com/tensorflow/model-analysis) (π¨βπ» 58 Β· π 270 Β· π 88 - 37% open Β· β±οΈ 09.10.2024):
```
- git clone https://github.com/bmabey/pyLDAvis
- ```
-- [PyPi](https://pypi.org/project/pyldavis) (π₯ 130K / month Β· π¦ 100 Β· β±οΈ 23.04.2023):
- ```
- pip install pyldavis
+ git clone https://github.com/tensorflow/model-analysis
```
-- [Conda](https://anaconda.org/conda-forge/pyldavis) (π₯ 86K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 130K / month Β· π¦ 19 Β· β±οΈ 25.04.2024):
```
- conda install -c conda-forge pyldavis
+ pip install tensorflow-model-analysis
```
dtreeviz (π₯28 Β· β 2.9K) - A python library for decision tree visualization and model interpretation. MIT
@@ -6089,31 +6100,35 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
pip install dtreeviz
```
-- [Conda](https://anaconda.org/conda-forge/dtreeviz) (π₯ 84K Β· β±οΈ 13.07.2023):
+- [Conda](https://anaconda.org/conda-forge/dtreeviz) (π₯ 85K Β· β±οΈ 13.07.2023):
```
conda install -c conda-forge dtreeviz
```
Model Analysis (π₯28 Β· β 1.3K) - Model analysis tools for TensorFlow. Apache-2
+fairlearn (π₯28 Β· β 1.9K) - A Python package to assess and improve fairness of machine.. MIT
-- [GitHub](https://github.com/tensorflow/model-analysis) (π¨βπ» 58 Β· π 270 Β· π 88 - 37% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 84 Β· π 410 Β· π¦ 3 Β· π 480 - 33% open Β· β±οΈ 24.09.2024):
```
- git clone https://github.com/tensorflow/model-analysis
+ git clone https://github.com/fairlearn/fairlearn
```
-- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 220K / month Β· π¦ 19 Β· β±οΈ 25.04.2024):
+- [PyPi](https://pypi.org/project/fairlearn) (π₯ 160K / month Β· π¦ 55 Β· β±οΈ 19.12.2023):
```
- pip install tensorflow-model-analysis
+ pip install fairlearn
+ ```
+- [Conda](https://anaconda.org/conda-forge/fairlearn) (π₯ 37K Β· β±οΈ 20.12.2023):
+ ```
+ conda install -c conda-forge fairlearn
```
Fairness 360 (π₯26 Β· β 2.4K) - A comprehensive set of fairness metrics for datasets and.. Apache-2
-- [GitHub](https://github.com/Trusted-AI/AIF360) (π¨βπ» 73 Β· π 830 Β· π¦ 490 Β· π 300 - 65% open Β· β±οΈ 05.07.2024):
+- [GitHub](https://github.com/Trusted-AI/AIF360) (π¨βπ» 73 Β· π 830 Β· π¦ 490 Β· π 300 - 66% open Β· β±οΈ 05.07.2024):
```
git clone https://github.com/Trusted-AI/AIF360
```
-- [PyPi](https://pypi.org/project/aif360) (π₯ 34K / month Β· π¦ 32 Β· β±οΈ 08.04.2024):
+- [PyPi](https://pypi.org/project/aif360) (π₯ 36K / month Β· π¦ 32 Β· β±οΈ 08.04.2024):
```
pip install aif360
```
@@ -6122,92 +6137,80 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge aif360
```
imodels (π₯26 Β· β 1.4K) - Interpretable ML package for concise, transparent, and accurate.. MIT
-
-- [GitHub](https://github.com/csinva/imodels) (π¨βπ» 24 Β· π 120 Β· π¦ 100 Β· π 92 - 39% open Β· β±οΈ 21.09.2024):
-
- ```
- git clone https://github.com/csinva/imodels
- ```
-- [PyPi](https://pypi.org/project/imodels) (π₯ 40K / month Β· π¦ 9 Β· β±οΈ 02.07.2024):
- ```
- pip install imodels
- ```
-responsible-ai-widgets (π₯26 Β· β 1.3K) - Responsible AI Toolbox is a suite of tools providing.. MIT
+responsible-ai-widgets (π₯26 Β· β 1.4K) - Responsible AI Toolbox is a suite of tools providing.. MIT
- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (π¨βπ» 43 Β· π 340 Β· π 320 - 27% open Β· β±οΈ 07.08.2024):
```
git clone https://github.com/microsoft/responsible-ai-toolbox
```
-- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 10K / month Β· π¦ 6 Β· β±οΈ 08.07.2024):
+- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 11K / month Β· π¦ 6 Β· β±οΈ 08.07.2024):
```
pip install raiwidgets
```
LIT (π₯25 Β· β 3.5K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2
-- [GitHub](https://github.com/PAIR-code/lit) (π¨βπ» 38 Β· π 350 Β· π¦ 38 Β· π 190 - 56% open Β· β±οΈ 26.06.2024):
+- [GitHub](https://github.com/PAIR-code/lit) (π¨βπ» 38 Β· π 350 Β· π¦ 39 Β· π 190 - 56% open Β· β±οΈ 26.06.2024):
```
git clone https://github.com/PAIR-code/lit
```
-- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 3.8K / month Β· π¦ 3 Β· β±οΈ 26.06.2024):
+- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 3.7K / month Β· π¦ 3 Β· β±οΈ 26.06.2024):
```
pip install lit-nlp
```
-- [Conda](https://anaconda.org/conda-forge/lit-nlp) (π₯ 89K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/lit-nlp) (π₯ 90K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge lit-nlp
```
iNNvestigate (π₯25 Β· β 1.3K Β· π€) - A toolbox to iNNvestigate neural networks predictions!. BSD-2
+CausalNex (π₯25 Β· β 2.2K Β· π€) - A Python library that helps data scientists to infer.. Apache-2
-- [GitHub](https://github.com/albermax/innvestigate) (π¨βπ» 22 Β· π 240 Β· π₯ 150 Β· π¦ 140 Β· π 260 - 21% open Β· β±οΈ 12.10.2023):
+- [GitHub](https://github.com/mckinsey/causalnex) (π¨βπ» 40 Β· π 260 Β· π¦ 130 Β· π 140 - 16% open Β· β±οΈ 10.02.2024):
```
- git clone https://github.com/albermax/innvestigate
+ git clone https://github.com/quantumblacklabs/causalnex
```
-- [PyPi](https://pypi.org/project/innvestigate) (π₯ 780 / month Β· π¦ 2 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/causalnex) (π₯ 10K / month Β· π¦ 4 Β· β±οΈ 22.06.2023):
```
- pip install innvestigate
+ pip install causalnex
```
aequitas (π₯25 Β· β 680) - Bias Auditing & Fair ML Toolkit. MIT
+imodels (π₯25 Β· β 1.4K) - Interpretable ML package for concise, transparent, and accurate.. MIT
-- [GitHub](https://github.com/dssg/aequitas) (π¨βπ» 22 Β· π 110 Β· π¦ 170 Β· π 99 - 51% open Β· β±οΈ 11.09.2024):
+- [GitHub](https://github.com/csinva/imodels) (π¨βπ» 24 Β· π 120 Β· π¦ 110 Β· π 92 - 39% open Β· β±οΈ 21.09.2024):
```
- git clone https://github.com/dssg/aequitas
+ git clone https://github.com/csinva/imodels
```
-- [PyPi](https://pypi.org/project/aequitas) (π₯ 23K / month Β· π¦ 8 Β· β±οΈ 30.01.2024):
+- [PyPi](https://pypi.org/project/imodels) (π₯ 40K / month Β· π¦ 9 Β· β±οΈ 02.07.2024):
```
- pip install aequitas
+ pip install imodels
```
CausalNex (π₯24 Β· β 2.2K Β· π€) - A Python library that helps data scientists to infer.. Apache-2
+iNNvestigate (π₯25 Β· β 1.3K Β· π€) - A toolbox to iNNvestigate neural networks predictions!. BSD-2
-- [GitHub](https://github.com/mckinsey/causalnex) (π¨βπ» 40 Β· π 260 Β· π¦ 130 Β· π 140 - 16% open Β· β±οΈ 10.02.2024):
+- [GitHub](https://github.com/albermax/innvestigate) (π¨βπ» 22 Β· π 240 Β· π₯ 150 Β· π¦ 140 Β· π 260 - 21% open Β· β±οΈ 12.10.2023):
```
- git clone https://github.com/quantumblacklabs/causalnex
+ git clone https://github.com/albermax/innvestigate
```
-- [PyPi](https://pypi.org/project/causalnex) (π₯ 5.4K / month Β· π¦ 4 Β· β±οΈ 22.06.2023):
+- [PyPi](https://pypi.org/project/innvestigate) (π₯ 970 / month Β· π¦ 2 Β· β±οΈ 12.10.2023):
```
- pip install causalnex
+ pip install innvestigate
```
Explainability 360 (π₯24 Β· β 1.6K) - Interpretability and explainability of data and.. Apache-2
+aequitas (π₯25 Β· β 680) - Bias Auditing & Fair ML Toolkit. MIT
-- [GitHub](https://github.com/Trusted-AI/AIX360) (π¨βπ» 41 Β· π 300 Β· π¦ 100 Β· π 85 - 63% open Β· β±οΈ 16.07.2024):
+- [GitHub](https://github.com/dssg/aequitas) (π¨βπ» 22 Β· π 110 Β· π¦ 170 Β· π 99 - 51% open Β· β±οΈ 11.09.2024):
```
- git clone https://github.com/Trusted-AI/AIX360
+ git clone https://github.com/dssg/aequitas
```
-- [PyPi](https://pypi.org/project/aix360) (π₯ 1.2K / month Β· π¦ 1 Β· β±οΈ 31.07.2023):
+- [PyPi](https://pypi.org/project/aequitas) (π₯ 26K / month Β· π¦ 8 Β· β±οΈ 30.01.2024):
```
- pip install aix360
+ pip install aequitas
```
keract (π₯24 Β· β 1K Β· π€) - Layers Outputs and Gradients in Keras. Made easy. MIT
@@ -6217,11 +6220,23 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/philipperemy/keract
```
-- [PyPi](https://pypi.org/project/keract) (π₯ 5.3K / month Β· π¦ 9 Β· β±οΈ 25.09.2022):
+- [PyPi](https://pypi.org/project/keract) (π₯ 6.7K / month Β· π¦ 9 Β· β±οΈ 25.09.2022):
```
pip install keract
```
Explainability 360 (π₯23 Β· β 1.6K) - Interpretability and explainability of data and.. Apache-2
+
+- [GitHub](https://github.com/Trusted-AI/AIX360) (π¨βπ» 41 Β· π 300 Β· π¦ 100 Β· π 85 - 63% open Β· β±οΈ 16.07.2024):
+
+ ```
+ git clone https://github.com/Trusted-AI/AIX360
+ ```
+- [PyPi](https://pypi.org/project/aix360) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 31.07.2023):
+ ```
+ pip install aix360
+ ```
+What-If Tool (π₯23 Β· β 910 Β· π€) - Source code/webpage/demos for the What-If Tool. Apache-2
- [GitHub](https://github.com/PAIR-code/what-if-tool) (π¨βπ» 20 Β· π 170 Β· π¦ 2 Β· π 140 - 61% open Β· β±οΈ 01.02.2024):
@@ -6229,7 +6244,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/PAIR-code/what-if-tool
```
-- [PyPi](https://pypi.org/project/witwidget) (π₯ 7.9K / month Β· π¦ 6 Β· β±οΈ 12.10.2021):
+- [PyPi](https://pypi.org/project/witwidget) (π₯ 8.8K / month Β· π¦ 6 Β· β±οΈ 12.10.2021):
```
pip install witwidget
```
@@ -6237,37 +6252,37 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
conda install -c conda-forge tensorboard-plugin-wit
```
-- [npm](https://www.npmjs.com/package/wit-widget) (π₯ 560 / month Β· π¦ 3 Β· β±οΈ 12.10.2021):
+- [npm](https://www.npmjs.com/package/wit-widget) (π₯ 580 / month Β· π¦ 3 Β· β±οΈ 12.10.2021):
```
npm install wit-widget
```
random-forest-importances (π₯22 Β· β 600) - Code to compute permutation and drop-column.. MIT
+ecco (π₯22 Β· β 2K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3
-- [GitHub](https://github.com/parrt/random-forest-importances) (π¨βπ» 15 Β· π 130 Β· π¦ 170 Β· π 39 - 20% open Β· β±οΈ 29.09.2024):
+- [GitHub](https://github.com/jalammar/ecco) (π¨βπ» 12 Β· π 160 Β· π₯ 120 Β· π¦ 31 Β· π 64 - 51% open Β· β±οΈ 15.08.2024):
```
- git clone https://github.com/parrt/random-forest-importances
+ git clone https://github.com/jalammar/ecco
```
-- [PyPi](https://pypi.org/project/rfpimp) (π₯ 12K / month Β· π¦ 5 Β· β±οΈ 28.01.2021):
+- [PyPi](https://pypi.org/project/ecco) (π₯ 1.1K / month Β· π¦ 1 Β· β±οΈ 09.01.2022):
```
- pip install rfpimp
+ pip install ecco
+ ```
+- [Conda](https://anaconda.org/conda-forge/ecco) (π₯ 5.5K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge ecco
```
ecco (π₯21 Β· β 2K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3
+random-forest-importances (π₯22 Β· β 600) - Code to compute permutation and drop-column.. MIT
-- [GitHub](https://github.com/jalammar/ecco) (π¨βπ» 12 Β· π 160 Β· π₯ 120 Β· π¦ 30 Β· π 64 - 51% open Β· β±οΈ 15.08.2024):
+- [GitHub](https://github.com/parrt/random-forest-importances) (π¨βπ» 15 Β· π 130 Β· π¦ 170 Β· π 39 - 20% open Β· β±οΈ 29.09.2024):
```
- git clone https://github.com/jalammar/ecco
- ```
-- [PyPi](https://pypi.org/project/ecco) (π₯ 560 / month Β· π¦ 1 Β· β±οΈ 09.01.2022):
- ```
- pip install ecco
+ git clone https://github.com/parrt/random-forest-importances
```
-- [Conda](https://anaconda.org/conda-forge/ecco) (π₯ 5.4K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/rfpimp) (π₯ 12K / month Β· π¦ 5 Β· β±οΈ 28.01.2021):
```
- conda install -c conda-forge ecco
+ pip install rfpimp
```
DiCE (π₯20 Β· β 1.3K) - Generate Diverse Counterfactual Explanations for any machine.. MIT
@@ -6277,7 +6292,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/interpretml/DiCE
```
-- [PyPi](https://pypi.org/project/dice-ml) (π₯ 37K / month Β· π¦ 6 Β· β±οΈ 27.10.2023):
+- [PyPi](https://pypi.org/project/dice-ml) (π₯ 34K / month Β· π¦ 6 Β· β±οΈ 27.10.2023):
```
pip install dice-ml
```
@@ -6289,73 +6304,73 @@ _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) (π₯ 1.6K / month Β· β±οΈ 26.04.2024):
+- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 2.3K / month Β· β±οΈ 26.04.2024):
```
pip install fairness-indicators
```
LOFO (π₯18 Β· β 820 Β· π€) - Leave One Feature Out Importance. MIT
-- [GitHub](https://github.com/aerdem4/lofo-importance) (π¨βπ» 6 Β· π 84 Β· π¦ 33 Β· π 27 - 11% open Β· β±οΈ 16.01.2024):
+- [GitHub](https://github.com/aerdem4/lofo-importance) (π¨βπ» 6 Β· π 84 Β· π¦ 34 Β· π 27 - 11% open Β· β±οΈ 16.01.2024):
```
git clone https://github.com/aerdem4/lofo-importance
```
-- [PyPi](https://pypi.org/project/lofo-importance) (π₯ 3.3K / month Β· π¦ 4 Β· β±οΈ 16.01.2024):
+- [PyPi](https://pypi.org/project/lofo-importance) (π₯ 3.6K / month Β· π¦ 4 Β· β±οΈ 16.01.2024):
```
pip install lofo-importance
```
interpret-text (π₯15 Β· β 410 Β· π€) - A library that incorporates state-of-the-art explainers.. MIT
+ExplainX.ai (π₯16 Β· β 410) - Explainable AI framework for data scientists. Explain & debug any.. MIT
-- [GitHub](https://github.com/interpretml/interpret-text) (π¨βπ» 18 Β· π 68 Β· π 100 - 84% open Β· β±οΈ 05.02.2024):
+- [GitHub](https://github.com/explainX/explainx) (π¨βπ» 5 Β· π 52 Β· π₯ 18 Β· π 39 - 25% open Β· β±οΈ 21.08.2024):
```
- git clone https://github.com/interpretml/interpret-text
+ git clone https://github.com/explainX/explainx
```
-- [PyPi](https://pypi.org/project/interpret-text) (π₯ 220 / month Β· β±οΈ 07.12.2021):
+- [PyPi](https://pypi.org/project/explainx) (π₯ 1.7K / month Β· β±οΈ 04.02.2021):
```
- pip install interpret-text
+ pip install explainx
```
ExplainX.ai (π₯15 Β· β 410) - Explainable AI framework for data scientists. Explain & debug any.. MIT
+interpret-text (π₯15 Β· β 410 Β· π€) - A library that incorporates state-of-the-art explainers.. MIT
-- [GitHub](https://github.com/explainX/explainx) (π¨βπ» 5 Β· π 52 Β· π₯ 18 Β· π 39 - 25% open Β· β±οΈ 21.08.2024):
+- [GitHub](https://github.com/interpretml/interpret-text) (π¨βπ» 18 Β· π 68 Β· π 100 - 84% open Β· β±οΈ 05.02.2024):
```
- git clone https://github.com/explainX/explainx
+ git clone https://github.com/interpretml/interpret-text
```
-- [PyPi](https://pypi.org/project/explainx) (π₯ 1K / month Β· β±οΈ 04.02.2021):
+- [PyPi](https://pypi.org/project/interpret-text) (π₯ 310 / month Β· β±οΈ 07.12.2021):
```
- pip install explainx
+ pip install interpret-text
```
Show 24 hidden projects...
- Lime (π₯32 Β· β 12K Β· π) - Lime: Explaining the predictions of any machine learning classifier. BSD-2
-- Deep Checks (π₯28 Β· β 3.6K Β· π€) - Deepchecks: Tests for Continuous Validation of ML Models.. βοΈAGPL-3.0
+- Deep Checks (π₯29 Β· β 3.6K Β· π€) - Deepchecks: Tests for Continuous Validation of ML Models.. βοΈAGPL-3.0
- scikit-plot (π₯28 Β· β 2.4K Β· π) - An intuitive library to add plotting functionality to.. MIT Apache-2 βοΈGPL-3.0
- eli5 (π₯26 Β· β 2.8K Β· π) - A library for debugging/inspecting machine learning classifiers and.. MIT
-- Alibi (π₯26 Β· β 2.4K Β· π) - Algorithms for explaining machine learning models. βοΈIntel
+- Alibi (π₯26 Β· β 2.4K) - Algorithms for explaining machine learning models. βοΈIntel
- Lucid (π₯25 Β· β 4.7K Β· π) - A collection of infrastructure and tools for research in.. Apache-2 MIT MIT MIT MIT
- TreeInterpreter (π₯21 Β· β 740 Β· π) - Package for interpreting scikit-learns decision tree.. BSD-3 βοΈGPL-3.0
- XAI (π₯19 Β· β 1.1K Β· π) - XAI - An eXplainability toolbox for machine learning. MIT
- tcav (π₯19 Β· β 630 Β· π) - Code for the TCAV ML interpretability project. Apache-2 MIT βοΈGPL-3.0
- model-card-toolkit (π₯18 Β· β 420 Β· π) - A toolkit that streamlines and automates the.. Apache-2
+- Anchor (π₯16 Β· β 800 Β· π) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2
- FlashTorch (π₯16 Β· β 730 Β· π) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT BSD-2
- Skater (π₯14 Β· β 1.1K Β· π) - Python Library for Model Interpretation/Explanations. βοΈUPL-1.0
- Attribution Priors (π₯13 Β· β 120 Β· π) - Tools for training explainable models using.. MIT MIT
- contextual-ai (π₯12 Β· β 86 Β· π) - Contextual AI adds explainability to different stages of.. Apache-2
-- bias-detector (π₯12 Β· β 44 Β· π€) - Bias Detector is a python package for detecting bias in machine.. MIT
@@ -6369,7 +6384,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Faiss (π₯41 Β· β 31K) - A library for efficient similarity search and clustering of dense vectors. MIT
-- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 190 Β· π 3.6K Β· π¦ 4K Β· π 2.5K - 9% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 190 Β· π 3.6K Β· π¦ 4K Β· π 2.5K - 9% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/facebookresearch/faiss
@@ -6385,7 +6400,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Milvus (π₯41 Β· β 30K) - A cloud-native vector database, storage for next generation AI.. Apache-2
-- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 290 Β· π 2.8K Β· π₯ 270K Β· π 12K - 6% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 290 Β· π 2.8K Β· π₯ 270K Β· π 12K - 6% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/milvus-io/milvus
@@ -6394,7 +6409,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
pip install pymilvus
```
-- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 67M Β· β 62 Β· β±οΈ 27.09.2024):
+- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 67M Β· β 63 Β· β±οΈ 08.10.2024):
```
docker pull milvusdb/milvus
```
@@ -6426,7 +6441,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
pip install hnswlib
```
-- [Conda](https://anaconda.org/conda-forge/hnswlib) (π₯ 230K Β· β±οΈ 27.09.2023):
+- [Conda](https://anaconda.org/conda-forge/hnswlib) (π₯ 240K Β· β±οΈ 27.09.2023):
```
conda install -c conda-forge hnswlib
```
@@ -6438,7 +6453,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/nmslib/nmslib
```
-- [PyPi](https://pypi.org/project/nmslib) (π₯ 190K / month Β· π¦ 63 Β· β±οΈ 03.02.2021):
+- [PyPi](https://pypi.org/project/nmslib) (π₯ 230K / month Β· π¦ 63 Β· β±οΈ 03.02.2021):
```
pip install nmslib
```
@@ -6449,27 +6464,27 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
USearch (π₯30 Β· β 2.2K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2
-- [GitHub](https://github.com/unum-cloud/usearch) (π¨βπ» 53 Β· π 130 Β· π₯ 26K Β· π¦ 120 Β· π 160 - 33% open Β· β±οΈ 28.09.2024):
+- [GitHub](https://github.com/unum-cloud/usearch) (π¨βπ» 54 Β· π 130 Β· π₯ 28K Β· π¦ 120 Β· π 160 - 33% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/unum-cloud/usearch
```
-- [PyPi](https://pypi.org/project/usearch) (π₯ 160K / month Β· π¦ 21 Β· β±οΈ 28.09.2024):
+- [PyPi](https://pypi.org/project/usearch) (π₯ 170K / month Β· π¦ 21 Β· β±οΈ 10.10.2024):
```
pip install usearch
```
-- [npm](https://www.npmjs.com/package/usearch) (π₯ 8.2K / month Β· π¦ 14 Β· β±οΈ 28.09.2024):
+- [npm](https://www.npmjs.com/package/usearch) (π₯ 7K / month Β· π¦ 14 Β· β±οΈ 10.10.2024):
```
npm install usearch
```
-- [Docker Hub](https://hub.docker.com/r/unum/usearch) (π₯ 130 Β· β 1 Β· β±οΈ 28.09.2024):
+- [Docker Hub](https://hub.docker.com/r/unum/usearch) (π₯ 130 Β· β 1 Β· β±οΈ 10.10.2024):
```
docker pull unum/usearch
```
PyNNDescent (π₯28 Β· β 880) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2
-- [GitHub](https://github.com/lmcinnes/pynndescent) (π¨βπ» 29 Β· π 100 Β· π¦ 7.9K Β· π 140 - 52% open Β· β±οΈ 17.06.2024):
+- [GitHub](https://github.com/lmcinnes/pynndescent) (π¨βπ» 29 Β· π 110 Β· π¦ 8K Β· π 140 - 52% open Β· β±οΈ 17.06.2024):
```
git clone https://github.com/lmcinnes/pynndescent
@@ -6490,7 +6505,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/yahoojapan/NGT
```
-- [PyPi](https://pypi.org/project/ngt) (π₯ 3.4K / month Β· π¦ 8 Β· β±οΈ 06.12.2023):
+- [PyPi](https://pypi.org/project/ngt) (π₯ 4.4K / month Β· π¦ 8 Β· β±οΈ 06.12.2023):
```
pip install ngt
```
@@ -6512,12 +6527,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (π₯41 Β· β 8.7K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2
-- [GitHub](https://github.com/pymc-devs/pymc) (π¨βπ» 500 Β· π 2K Β· π₯ 2K Β· π¦ 4.2K Β· π 3.4K - 9% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/pymc-devs/pymc) (π¨βπ» 500 Β· π 2K Β· π₯ 2K Β· π¦ 4.3K Β· π 3.4K - 9% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/pymc-devs/pymc
```
-- [PyPi](https://pypi.org/project/pymc3) (π₯ 290K / month Β· π¦ 190 Β· β±οΈ 31.05.2024):
+- [PyPi](https://pypi.org/project/pymc3) (π₯ 280K / month Β· π¦ 190 Β· β±οΈ 31.05.2024):
```
pip install pymc3
```
@@ -6526,9 +6541,9 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge pymc3
```
tensorflow-probability (π₯35 Β· β 4.2K) - Probabilistic reasoning and statistical analysis in.. Apache-2
+tensorflow-probability (π₯35 Β· β 4.3K) - Probabilistic reasoning and statistical analysis in.. Apache-2
-- [GitHub](https://github.com/tensorflow/probability) (π¨βπ» 500 Β· π 1.1K Β· π¦ 1 Β· π 1.4K - 47% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/tensorflow/probability) (π¨βπ» 500 Β· π 1.1K Β· π¦ 2 Β· π 1.4K - 47% open Β· β±οΈ 03.10.2024):
```
git clone https://github.com/tensorflow/probability
@@ -6537,7 +6552,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
pip install tensorflow-probability
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (π₯ 140K Β· β±οΈ 27.05.2024):
+- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (π₯ 150K Β· β±οΈ 27.05.2024):
```
conda install -c conda-forge tensorflow-probability
```
@@ -6565,7 +6580,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/pgmpy/pgmpy
```
-- [PyPi](https://pypi.org/project/pgmpy) (π₯ 110K / month Β· π¦ 53 Β· β±οΈ 09.08.2024):
+- [PyPi](https://pypi.org/project/pgmpy) (π₯ 120K / month Β· π¦ 53 Β· β±οΈ 09.08.2024):
```
pip install pgmpy
```
@@ -6586,9 +6601,9 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge gpytorch
```
SALib (π₯32 Β· β 870) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT
+SALib (π₯32 Β· β 880) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT
-- [GitHub](https://github.com/SALib/SALib) (π¨βπ» 48 Β· π 230 Β· π¦ 1.3K Β· π 340 - 15% open Β· β±οΈ 20.09.2024):
+- [GitHub](https://github.com/SALib/SALib) (π¨βπ» 48 Β· π 230 Β· π¦ 1.3K Β· π 340 - 15% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/SALib/SALib
@@ -6602,71 +6617,71 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge salib
```
GPflow (π₯31 Β· β 1.8K) - Gaussian processes in TensorFlow. Apache-2
+hmmlearn (π₯31 Β· β 3K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3
-- [GitHub](https://github.com/GPflow/GPflow) (π¨βπ» 84 Β· π 440 Β· π¦ 690 Β· π 840 - 18% open Β· β±οΈ 14.06.2024):
+- [GitHub](https://github.com/hmmlearn/hmmlearn) (π¨βπ» 49 Β· π 740 Β· π¦ 2.8K Β· π 440 - 15% open Β· β±οΈ 07.10.2024):
```
- git clone https://github.com/GPflow/GPflow
+ git clone https://github.com/hmmlearn/hmmlearn
```
-- [PyPi](https://pypi.org/project/gpflow) (π₯ 78K / month Β· π¦ 35 Β· β±οΈ 17.06.2024):
+- [PyPi](https://pypi.org/project/hmmlearn) (π₯ 770K / month Β· π¦ 87 Β· β±οΈ 02.03.2024):
```
- pip install gpflow
+ pip install hmmlearn
```
-- [Conda](https://anaconda.org/conda-forge/gpflow) (π₯ 34K Β· β±οΈ 26.06.2024):
+- [Conda](https://anaconda.org/conda-forge/hmmlearn) (π₯ 280K Β· β±οΈ 11.09.2024):
```
- conda install -c conda-forge gpflow
+ conda install -c conda-forge hmmlearn
```
pandas-ta (π₯30 Β· β 5.3K) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT
+emcee (π₯31 Β· β 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT
-- [GitHub](https://github.com/twopirllc/pandas-ta) (π¨βπ» 45 Β· π 1K Β· π¦ 4.2K Β· π 590 - 19% open Β· β±οΈ 24.06.2024):
+- [GitHub](https://github.com/dfm/emcee) (π¨βπ» 74 Β· π 430 Β· π¦ 2.6K Β· π 300 - 19% open Β· β±οΈ 10.10.2024):
```
- git clone https://github.com/twopirllc/pandas-ta
+ git clone https://github.com/dfm/emcee
```
-- [PyPi](https://pypi.org/project/pandas-ta) (π₯ 180K / month Β· π¦ 120 Β· β±οΈ 28.07.2021):
+- [PyPi](https://pypi.org/project/emcee) (π₯ 1.4M / month Β· π¦ 440 Β· β±οΈ 19.04.2024):
```
- pip install pandas-ta
+ pip install emcee
```
-- [Conda](https://anaconda.org/conda-forge/pandas-ta) (π₯ 22K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/emcee) (π₯ 360K Β· β±οΈ 22.04.2024):
```
- conda install -c conda-forge pandas-ta
+ conda install -c conda-forge emcee
```
hmmlearn (π₯30 Β· β 3K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3
+pandas-ta (π₯30 Β· β 5.3K) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT
-- [GitHub](https://github.com/hmmlearn/hmmlearn) (π¨βπ» 49 Β· π 740 Β· π¦ 2.8K Β· π 440 - 15% open Β· β±οΈ 23.09.2024):
+- [GitHub](https://github.com/twopirllc/pandas-ta) (π¨βπ» 45 Β· π 1K Β· π¦ 4.2K Β· π 590 - 19% open Β· β±οΈ 24.06.2024):
```
- git clone https://github.com/hmmlearn/hmmlearn
+ git clone https://github.com/twopirllc/pandas-ta
```
-- [PyPi](https://pypi.org/project/hmmlearn) (π₯ 690K / month Β· π¦ 87 Β· β±οΈ 02.03.2024):
+- [PyPi](https://pypi.org/project/pandas-ta) (π₯ 170K / month Β· π¦ 120 Β· β±οΈ 28.07.2021):
```
- pip install hmmlearn
+ pip install pandas-ta
```
-- [Conda](https://anaconda.org/conda-forge/hmmlearn) (π₯ 280K Β· β±οΈ 11.09.2024):
+- [Conda](https://anaconda.org/conda-forge/pandas-ta) (π₯ 22K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge hmmlearn
+ conda install -c conda-forge pandas-ta
```
emcee (π₯30 Β· β 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT
+GPflow (π₯30 Β· β 1.8K) - Gaussian processes in TensorFlow. Apache-2
-- [GitHub](https://github.com/dfm/emcee) (π¨βπ» 74 Β· π 430 Β· π¦ 2.6K Β· π 300 - 19% open Β· β±οΈ 07.09.2024):
+- [GitHub](https://github.com/GPflow/GPflow) (π¨βπ» 84 Β· π 440 Β· π¦ 690 Β· π 840 - 18% open Β· β±οΈ 04.10.2024):
```
- git clone https://github.com/dfm/emcee
+ git clone https://github.com/GPflow/GPflow
```
-- [PyPi](https://pypi.org/project/emcee) (π₯ 1.3M / month Β· π¦ 440 Β· β±οΈ 19.04.2024):
+- [PyPi](https://pypi.org/project/gpflow) (π₯ 76K / month Β· π¦ 35 Β· β±οΈ 17.06.2024):
```
- pip install emcee
+ pip install gpflow
```
-- [Conda](https://anaconda.org/conda-forge/emcee) (π₯ 360K Β· β±οΈ 22.04.2024):
+- [Conda](https://anaconda.org/conda-forge/gpflow) (π₯ 34K Β· β±οΈ 26.06.2024):
```
- conda install -c conda-forge emcee
+ conda install -c conda-forge gpflow
```
patsy (π₯30 Β· β 940 Β· π€) - Describing statistical models in Python using symbolic formulas. BSD-2
+patsy (π₯30 Β· β 940 Β· π€) - Describing statistical models in Python using symbolic formulas. BSD-2
- [GitHub](https://github.com/pydata/patsy) (π¨βπ» 19 Β· π 100 Β· π¦ 110K Β· π 150 - 46% open Β· β±οΈ 04.01.2024):
@@ -6689,7 +6704,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/jmschrei/pomegranate
```
-- [PyPi](https://pypi.org/project/pomegranate) (π₯ 15K / month Β· π¦ 59 Β· β±οΈ 11.07.2024):
+- [PyPi](https://pypi.org/project/pomegranate) (π₯ 18K / month Β· π¦ 59 Β· β±οΈ 11.07.2024):
```
pip install pomegranate
```
@@ -6705,7 +6720,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/stan-dev/pystan
```
-- [PyPi](https://pypi.org/project/pystan) (π₯ 770K / month Β· π¦ 160 Β· β±οΈ 03.07.2024):
+- [PyPi](https://pypi.org/project/pystan) (π₯ 750K / month Β· π¦ 160 Β· β±οΈ 03.07.2024):
```
pip install pystan
```
@@ -6714,58 +6729,58 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge pystan
```
bambi (π₯27 Β· β 1.1K) - BAyesian Model-Building Interface (Bambi) in Python. MIT
+bambi (π₯26 Β· β 1.1K) - BAyesian Model-Building Interface (Bambi) in Python. MIT
- [GitHub](https://github.com/bambinos/bambi) (π¨βπ» 40 Β· π 120 Β· π¦ 150 Β· π 410 - 19% open Β· β±οΈ 26.09.2024):
```
git clone https://github.com/bambinos/bambi
```
-- [PyPi](https://pypi.org/project/bambi) (π₯ 24K / month Β· π¦ 10 Β· β±οΈ 10.07.2024):
+- [PyPi](https://pypi.org/project/bambi) (π₯ 31K / month Β· π¦ 10 Β· β±οΈ 10.07.2024):
```
pip install bambi
```
-- [Conda](https://anaconda.org/conda-forge/bambi) (π₯ 37K Β· β±οΈ 10.07.2024):
+- [Conda](https://anaconda.org/conda-forge/bambi) (π₯ 38K Β· β±οΈ 10.07.2024):
```
conda install -c conda-forge bambi
```
scikit-posthocs (π₯24 Β· β 340) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT
+scikit-posthocs (π₯26 Β· β 340 Β· π) - Multiple Pairwise Comparisons (Post Hoc) Tests in.. MIT
-- [GitHub](https://github.com/maximtrp/scikit-posthocs) (π¨βπ» 15 Β· π 40 Β· π₯ 64 Β· π¦ 830 Β· π 59 - 11% open Β· β±οΈ 19.09.2024):
+- [GitHub](https://github.com/maximtrp/scikit-posthocs) (π¨βπ» 15 Β· π 40 Β· π₯ 64 Β· π¦ 840 Β· π 58 - 10% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/maximtrp/scikit-posthocs
```
-- [PyPi](https://pypi.org/project/scikit-posthocs) (π₯ 85K / month Β· π¦ 48 Β· β±οΈ 18.02.2024):
+- [PyPi](https://pypi.org/project/scikit-posthocs) (π₯ 80K / month Β· π¦ 54 Β· β±οΈ 09.10.2024):
```
pip install scikit-posthocs
```
-- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (π₯ 970K Β· β±οΈ 08.07.2024):
+- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (π₯ 970K Β· β±οΈ 10.10.2024):
```
conda install -c conda-forge scikit-posthocs
```
Orbit (π₯23 Β· β 1.9K Β· π) - A Python package for Bayesian forecasting with object-oriented.. Apache-2
+Orbit (π₯23 Β· β 1.9K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2
-- [GitHub](https://github.com/uber/orbit) (π¨βπ» 20 Β· π 140 Β· π¦ 61 Β· π 400 - 12% open Β· β±οΈ 10.07.2024):
+- [GitHub](https://github.com/uber/orbit) (π¨βπ» 20 Β· π 140 Β· π¦ 63 Β· π 400 - 12% open Β· β±οΈ 10.07.2024):
```
git clone https://github.com/uber/orbit
```
-- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 13K / month Β· π¦ 1 Β· β±οΈ 01.04.2024):
+- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 14K / month Β· π¦ 1 Β· β±οΈ 01.04.2024):
```
pip install orbit-ml
```
Baal (π₯22 Β· β 860) - Bayesian active learning library for research and industrial usecases. Apache-2
-- [GitHub](https://github.com/baal-org/baal) (π¨βπ» 23 Β· π 86 Β· π¦ 60 Β· π 110 - 17% open Β· β±οΈ 27.06.2024):
+- [GitHub](https://github.com/baal-org/baal) (π¨βπ» 23 Β· π 86 Β· π¦ 61 Β· π 110 - 17% open Β· β±οΈ 27.06.2024):
```
git clone https://github.com/baal-org/baal
```
-- [PyPi](https://pypi.org/project/baal) (π₯ 1.9K / month Β· π¦ 2 Β· β±οΈ 11.06.2024):
+- [PyPi](https://pypi.org/project/baal) (π₯ 2.7K / month Β· π¦ 2 Β· β±οΈ 11.06.2024):
```
pip install baal
```
@@ -6777,7 +6792,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Show 6 hidden projects...
- filterpy (π₯31 Β· β 3.3K Β· π) - Python Kalman filtering and optimal estimation library. Implements.. MIT
-- pingouin (π₯29 Β· β 1.6K) - Statistical package in Python based on Pandas. βοΈGPL-3.0
+- pingouin (π₯30 Β· β 1.6K) - Statistical package in Python based on Pandas. βοΈGPL-3.0
- Edward (π₯28 Β· β 4.8K Β· π) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 MIT
- Funsor (π₯20 Β· β 240 Β· π) - Functional tensors for probabilistic programming. Apache-2 ART (π₯34 Β· β 4.8K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT
-- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (π¨βπ» 140 Β· π 1.2K Β· π¦ 590 Β· π 900 - 15% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (π¨βπ» 140 Β· π 1.2K Β· π¦ 600 Β· π 900 - 15% open Β· β±οΈ 07.10.2024):
```
git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox
```
-- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (π₯ 32K / month Β· π¦ 20 Β· β±οΈ 02.10.2024):
+- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (π₯ 43K / month Β· π¦ 20 Β· β±οΈ 02.10.2024):
```
pip install adversarial-robustness-toolbox
```
-- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (π₯ 49K Β· β±οΈ 03.10.2024):
+- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (π₯ 50K Β· β±οΈ 03.10.2024):
```
conda install -c conda-forge adversarial-robustness-toolbox
```
@@ -6814,7 +6829,7 @@ _Libraries for testing the robustness of machine learning models against attacks
```
git clone https://github.com/bethgelab/foolbox
```
-- [PyPi](https://pypi.org/project/foolbox) (π₯ 4.5K / month Β· π¦ 14 Β· β±οΈ 04.03.2024):
+- [PyPi](https://pypi.org/project/foolbox) (π₯ 5.6K / month Β· π¦ 14 Β· β±οΈ 04.03.2024):
```
pip install foolbox
```
@@ -6830,7 +6845,7 @@ _Libraries for testing the robustness of machine learning models against attacks
```
git clone https://github.com/QData/TextAttack
```
-- [PyPi](https://pypi.org/project/textattack) (π₯ 4.2K / month Β· π¦ 11 Β· β±οΈ 11.03.2024):
+- [PyPi](https://pypi.org/project/textattack) (π₯ 5K / month Β· π¦ 11 Β· β±οΈ 11.03.2024):
```
pip install textattack
```
@@ -6842,10 +6857,10 @@ _Libraries for testing the robustness of machine learning models against attacks
Show 6 hidden projects...
- CleverHans (π₯29 Β· β 6.2K Β· π) - An adversarial example library for constructing attacks,.. MIT βοΈGPL-3.0 βοΈGPL-3.0 Apache-2
- robustness (π₯19 Β· β 910 Β· π) - A library for experimenting with, training and evaluating neural.. MIT
-- textflint (π₯16 Β· β 640 Β· π) - Unified Multilingual Robustness Evaluation Toolkit for.. βοΈGPL-3.0
+- textflint (π₯17 Β· β 640 Β· π) - Unified Multilingual Robustness Evaluation Toolkit for.. βοΈGPL-3.0
- Adversary (π₯15 Β· β 400 Β· π) - Tool to generate adversarial text examples and test machine.. MIT
@@ -6858,16 +6873,16 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
CuPy (π₯39 Β· β 9.3K) - NumPy & SciPy for GPU. MIT
-- [GitHub](https://github.com/cupy/cupy) (π¨βπ» 390 Β· π 810 Β· π₯ 190K Β· π¦ 2.3K Β· π 2.4K - 26% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/cupy/cupy) (π¨βπ» 390 Β· π 810 Β· π₯ 190K Β· π¦ 2.3K Β· π 2.4K - 26% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/cupy/cupy
```
-- [PyPi](https://pypi.org/project/cupy) (π₯ 50K / month Β· π¦ 270 Β· β±οΈ 22.08.2024):
+- [PyPi](https://pypi.org/project/cupy) (π₯ 57K / month Β· π¦ 270 Β· β±οΈ 22.08.2024):
```
pip install cupy
```
-- [Conda](https://anaconda.org/conda-forge/cupy) (π₯ 4.7M Β· β±οΈ 22.08.2024):
+- [Conda](https://anaconda.org/conda-forge/cupy) (π₯ 4.8M Β· β±οΈ 22.08.2024):
```
conda install -c conda-forge cupy
```
@@ -6878,24 +6893,24 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuDF (π₯35 Β· β 8.3K) - cuDF - GPU DataFrame Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 300 Β· π 880 Β· π¦ 57 Β· π 6.5K - 16% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 300 Β· π 880 Β· π¦ 57 Β· π 6.6K - 16% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/rapidsai/cudf
```
-- [PyPi](https://pypi.org/project/cudf) (π₯ 3.1K / month Β· π¦ 22 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cudf) (π₯ 3.2K / month Β· π¦ 22 Β· β±οΈ 01.06.2020):
```
pip install cudf
```
optimum (π₯34 Β· β 2.5K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2
-- [GitHub](https://github.com/huggingface/optimum) (π¨βπ» 130 Β· π 440 Β· π¦ 3.5K Β· π 840 - 49% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/huggingface/optimum) (π¨βπ» 130 Β· π 450 Β· π¦ 3.5K Β· π 840 - 49% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/huggingface/optimum
```
-- [PyPi](https://pypi.org/project/optimum) (π₯ 940K / month Β· π¦ 160 Β· β±οΈ 10.09.2024):
+- [PyPi](https://pypi.org/project/optimum) (π₯ 950K / month Β· π¦ 170 Β· β±οΈ 10.10.2024):
```
pip install optimum
```
@@ -6911,47 +6926,47 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
git clone https://github.com/inducer/pycuda
```
-- [PyPi](https://pypi.org/project/pycuda) (π₯ 73K / month Β· π¦ 160 Β· β±οΈ 30.07.2024):
+- [PyPi](https://pypi.org/project/pycuda) (π₯ 95K / month Β· π¦ 160 Β· β±οΈ 30.07.2024):
```
pip install pycuda
```
-- [Conda](https://anaconda.org/conda-forge/pycuda) (π₯ 580K Β· β±οΈ 17.08.2024):
+- [Conda](https://anaconda.org/conda-forge/pycuda) (π₯ 590K Β· β±οΈ 17.08.2024):
```
conda install -c conda-forge pycuda
```
cuML (π₯31 Β· β 4.2K) - cuML - RAPIDS Machine Learning Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cuml) (π¨βπ» 180 Β· π 520 Β· π 2.5K - 35% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/rapidsai/cuml) (π¨βπ» 180 Β· π 520 Β· π 2.5K - 35% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/rapidsai/cuml
```
-- [PyPi](https://pypi.org/project/cuml) (π₯ 3K / month Β· π¦ 14 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cuml) (π₯ 3.1K / month Β· π¦ 14 Β· β±οΈ 01.06.2020):
```
pip install cuml
```
Apex (π₯30 Β· β 8.3K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3
-- [GitHub](https://github.com/NVIDIA/apex) (π¨βπ» 130 Β· π 1.4K Β· π¦ 2.7K Β· π 1.3K - 58% open Β· β±οΈ 28.09.2024):
+- [GitHub](https://github.com/NVIDIA/apex) (π¨βπ» 130 Β· π 1.4K Β· π¦ 2.8K Β· π 1.3K - 58% open Β· β±οΈ 28.09.2024):
```
git clone https://github.com/NVIDIA/apex
```
-- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (π₯ 320K Β· β±οΈ 10.09.2024):
+- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (π₯ 330K Β· β±οΈ 10.09.2024):
```
conda install -c conda-forge nvidia-apex
```
gpustat (π₯30 Β· β 4K Β· π€) - A simple command-line utility for querying and monitoring GPU status. MIT
-- [GitHub](https://github.com/wookayin/gpustat) (π¨βπ» 17 Β· π 280 Β· π¦ 6K Β· π 120 - 22% open Β· β±οΈ 12.01.2024):
+- [GitHub](https://github.com/wookayin/gpustat) (π¨βπ» 17 Β· π 280 Β· π¦ 6.1K Β· π 120 - 22% open Β· β±οΈ 12.01.2024):
```
git clone https://github.com/wookayin/gpustat
```
-- [PyPi](https://pypi.org/project/gpustat) (π₯ 640K / month Β· π¦ 150 Β· β±οΈ 22.08.2023):
+- [PyPi](https://pypi.org/project/gpustat) (π₯ 660K / month Β· π¦ 150 Β· β±οΈ 22.08.2023):
```
pip install gpustat
```
@@ -6962,24 +6977,24 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
ArrayFire (π₯28 Β· β 4.5K) - ArrayFire: a general purpose GPU library. BSD-3
-- [GitHub](https://github.com/arrayfire/arrayfire) (π¨βπ» 94 Β· π 530 Β· π₯ 7K Β· π 1.7K - 19% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/arrayfire/arrayfire) (π¨βπ» 94 Β· π 530 Β· π₯ 7.1K Β· π 1.7K - 19% open Β· β±οΈ 01.10.2024):
```
git clone https://github.com/arrayfire/arrayfire
```
-- [PyPi](https://pypi.org/project/arrayfire) (π₯ 3.1K / month Β· π¦ 10 Β· β±οΈ 22.02.2022):
+- [PyPi](https://pypi.org/project/arrayfire) (π₯ 4.1K / month Β· π¦ 10 Β· β±οΈ 22.02.2022):
```
pip install arrayfire
```
cuGraph (π₯27 Β· β 1.7K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cugraph) (π¨βπ» 120 Β· π 300 Β· π 1.7K - 10% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/rapidsai/cugraph) (π¨βπ» 120 Β· π 300 Β· π 1.7K - 9% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/rapidsai/cugraph
```
-- [PyPi](https://pypi.org/project/cugraph) (π₯ 270 / month Β· π¦ 4 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cugraph) (π₯ 300 / month Β· π¦ 4 Β· β±οΈ 01.06.2020):
```
pip install cugraph
```
@@ -6990,7 +7005,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
DALI (π₯25 Β· β 5.1K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2
-- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 93 Β· π 620 Β· π 1.6K - 14% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 93 Β· π 620 Β· π 1.6K - 14% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/NVIDIA/DALI
@@ -6998,12 +7013,12 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
scikit-cuda (π₯24 Β· β 990 Β· π€) - Python interface to GPU-powered libraries. BSD-3
-- [GitHub](https://github.com/lebedov/scikit-cuda) (π¨βπ» 44 Β· π 170 Β· π¦ 300 Β· π 220 - 23% open Β· β±οΈ 15.10.2023):
+- [GitHub](https://github.com/lebedov/scikit-cuda) (π¨βπ» 44 Β· π 170 Β· π¦ 310 Β· π 220 - 23% open Β· β±οΈ 15.10.2023):
```
git clone https://github.com/lebedov/scikit-cuda
```
-- [PyPi](https://pypi.org/project/scikit-cuda) (π₯ 710 / month Β· π¦ 23 Β· β±οΈ 27.05.2019):
+- [PyPi](https://pypi.org/project/scikit-cuda) (π₯ 720 / month Β· π¦ 23 Β· β±οΈ 27.05.2019):
```
pip install scikit-cuda
```
@@ -7015,7 +7030,7 @@ _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) (π₯ 330 / month Β· β±οΈ 20.01.2024):
+- [PyPi](https://pypi.org/project/kp) (π₯ 640 / month Β· β±οΈ 20.01.2024):
```
pip install kp
```
@@ -7027,7 +7042,7 @@ _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) (π₯ 9.5K / month Β· π¦ 1 Β· β±οΈ 29.08.2023):
+- [PyPi](https://pypi.org/project/merlin-core) (π₯ 9.4K / month Β· π¦ 1 Β· β±οΈ 29.08.2023):
```
pip install merlin-core
```
@@ -7052,12 +7067,12 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (π₯39 Β· β 4.3K) - TFDS is a collection of datasets ready to use with.. Apache-2
-- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 310 Β· π 1.5K Β· π¦ 19K Β· π 1.4K - 48% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 310 Β· π 1.5K Β· π¦ 20K Β· π 1.4K - 48% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/tensorflow/datasets
```
-- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 1.6M / month Β· π¦ 330 Β· β±οΈ 05.06.2024):
+- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 1.7M / month Β· π¦ 330 Β· β±οΈ 05.06.2024):
```
pip install tensorflow-datasets
```
@@ -7068,19 +7083,19 @@ _Libraries that extend TensorFlow with additional capabilities._
TFX (π₯35 Β· β 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2
-- [GitHub](https://github.com/tensorflow/tfx) (π¨βπ» 190 Β· π 700 Β· π¦ 1.6K Β· π 1.1K - 22% open Β· β±οΈ 27.09.2024):
+- [GitHub](https://github.com/tensorflow/tfx) (π¨βπ» 190 Β· π 700 Β· π¦ 1.6K Β· π 1.1K - 22% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/tensorflow/tfx
```
-- [PyPi](https://pypi.org/project/tfx) (π₯ 34K / month Β· π¦ 17 Β· β±οΈ 13.05.2024):
+- [PyPi](https://pypi.org/project/tfx) (π₯ 37K / month Β· π¦ 17 Β· β±οΈ 13.05.2024):
```
pip install tfx
```
tensorflow-hub (π₯32 Β· β 3.5K) - A library for transfer learning by reusing parts of.. Apache-2
-- [GitHub](https://github.com/tensorflow/hub) (π¨βπ» 110 Β· π 1.7K Β· π 700 - 1% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/tensorflow/hub) (π¨βπ» 110 Β· π 1.7K Β· π 710 - 1% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/tensorflow/hub
@@ -7113,7 +7128,7 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/io
```
-- [PyPi](https://pypi.org/project/tensorflow-io) (π₯ 1.5M / month Β· π¦ 61 Β· β±οΈ 01.07.2024):
+- [PyPi](https://pypi.org/project/tensorflow-io) (π₯ 1.4M / month Β· π¦ 61 Β· β±οΈ 01.07.2024):
```
pip install tensorflow-io
```
@@ -7125,7 +7140,7 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/model-optimization
```
-- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (π₯ 930K / month Β· π¦ 45 Β· β±οΈ 08.02.2024):
+- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (π₯ 900K / month Β· π¦ 45 Β· β±οΈ 08.02.2024):
```
pip install tensorflow-model-optimization
```
@@ -7137,7 +7152,7 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/transform
```
-- [PyPi](https://pypi.org/project/tensorflow-transform) (π₯ 480K / month Β· π¦ 18 Β· β±οΈ 24.04.2024):
+- [PyPi](https://pypi.org/project/tensorflow-transform) (π₯ 510K / month Β· π¦ 18 Β· β±οΈ 24.04.2024):
```
pip install tensorflow-transform
```
@@ -7149,31 +7164,31 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/neural-structured-learning
```
-- [PyPi](https://pypi.org/project/neural-structured-learning) (π₯ 7.8K / month Β· π¦ 3 Β· β±οΈ 29.07.2022):
+- [PyPi](https://pypi.org/project/neural-structured-learning) (π₯ 7.7K / month Β· π¦ 3 Β· β±οΈ 29.07.2022):
```
pip install neural-structured-learning
```
Saliency (π₯23 Β· β 950 Β· π€) - Framework-agnostic implementation for state-of-the-art.. Apache-2
-- [GitHub](https://github.com/PAIR-code/saliency) (π¨βπ» 18 Β· π 190 Β· π¦ 100 Β· π 39 - 30% open Β· β±οΈ 20.03.2024):
+- [GitHub](https://github.com/PAIR-code/saliency) (π¨βπ» 18 Β· π 190 Β· π¦ 110 Β· π 39 - 30% open Β· β±οΈ 20.03.2024):
```
git clone https://github.com/PAIR-code/saliency
```
-- [PyPi](https://pypi.org/project/saliency) (π₯ 96K / month Β· π¦ 8 Β· β±οΈ 20.03.2024):
+- [PyPi](https://pypi.org/project/saliency) (π₯ 89K / month Β· π¦ 8 Β· β±οΈ 20.03.2024):
```
pip install saliency
```
TF Compression (π₯21 Β· β 850) - Data compression in TensorFlow. Apache-2
+TF Compression (π₯22 Β· β 860) - Data compression in TensorFlow. Apache-2
-- [GitHub](https://github.com/tensorflow/compression) (π¨βπ» 21 Β· π 250 Β· π 100 - 10% open Β· β±οΈ 24.09.2024):
+- [GitHub](https://github.com/tensorflow/compression) (π¨βπ» 21 Β· π 250 Β· π 100 - 10% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/tensorflow/compression
```
-- [PyPi](https://pypi.org/project/tensorflow-compression) (π₯ 2.9K / month Β· π¦ 2 Β· β±οΈ 02.02.2024):
+- [PyPi](https://pypi.org/project/tensorflow-compression) (π₯ 3.6K / month Β· π¦ 2 Β· β±οΈ 02.02.2024):
```
pip install tensorflow-compression
```
@@ -7196,7 +7211,7 @@ _Libraries that extend TensorFlow with additional capabilities._
- Keras-Preprocessing (π₯28 Β· β 1K Β· π) - Utilities for working with image data, text data, and.. MIT Apache-2 MIT MIT MIT
@@ -7208,24 +7223,24 @@ _Libraries that extend Jax with additional capabilities._
equinox (π₯31 Β· β 2.1K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2
-- [GitHub](https://github.com/patrick-kidger/equinox) (π¨βπ» 55 Β· π 140 Β· π¦ 740 Β· π 440 - 34% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/patrick-kidger/equinox) (π¨βπ» 55 Β· π 140 Β· π¦ 750 Β· π 450 - 34% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/patrick-kidger/equinox
```
-- [PyPi](https://pypi.org/project/equinox) (π₯ 190K / month Β· π¦ 160 Β· β±οΈ 18.09.2024):
+- [PyPi](https://pypi.org/project/equinox) (π₯ 230K / month Β· π¦ 160 Β· β±οΈ 18.09.2024):
```
pip install equinox
```
evojax (π₯20 Β· β 830) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2
-- [GitHub](https://github.com/google/evojax) (π¨βπ» 14 Β· π 83 Β· π¦ 25 Β· π 33 - 48% open Β· β±οΈ 27.06.2024):
+- [GitHub](https://github.com/google/evojax) (π¨βπ» 14 Β· π 85 Β· π¦ 26 Β· π 33 - 48% open Β· β±οΈ 27.06.2024):
```
git clone https://github.com/google/evojax
```
-- [PyPi](https://pypi.org/project/evojax) (π₯ 1.1K / month Β· π¦ 6 Β· β±οΈ 18.06.2024):
+- [PyPi](https://pypi.org/project/evojax) (π₯ 1.8K / month Β· π¦ 6 Β· β±οΈ 18.06.2024):
```
pip install evojax
```
@@ -7246,46 +7261,46 @@ _Libraries that extend Jax with additional capabilities._
_Libraries that extend scikit-learn with additional capabilities._
-imbalanced-learn (π₯35 Β· β 6.8K) - A Python Package to Tackle the Curse of Imbalanced.. MIT
+scikit-learn-intelex (π₯35 Β· β 1.2K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2
-- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (π¨βπ» 84 Β· π 1.3K Β· π¦ 33K Β· π 610 - 7% open Β· β±οΈ 28.05.2024):
+- [GitHub](https://github.com/intel/scikit-learn-intelex) (π¨βπ» 82 Β· π 170 Β· π¦ 12K Β· π 280 - 32% open Β· β±οΈ 10.10.2024):
```
- git clone https://github.com/scikit-learn-contrib/imbalanced-learn
+ git clone https://github.com/intel/scikit-learn-intelex
```
-- [PyPi](https://pypi.org/project/imbalanced-learn) (π₯ 15M / month Β· π¦ 440 Β· β±οΈ 28.05.2024):
+- [PyPi](https://pypi.org/project/scikit-learn-intelex) (π₯ 85K / month Β· π¦ 55 Β· β±οΈ 17.09.2024):
```
- pip install imbalanced-learn
+ pip install scikit-learn-intelex
```
-- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (π₯ 620K Β· β±οΈ 28.05.2024):
+- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (π₯ 350K Β· β±οΈ 20.08.2024):
```
- conda install -c conda-forge imbalanced-learn
+ conda install -c conda-forge scikit-learn-intelex
```
scikit-learn-intelex (π₯35 Β· β 1.2K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2
+imbalanced-learn (π₯33 Β· β 6.8K Β· π) - A Python Package to Tackle the Curse of Imbalanced.. MIT
-- [GitHub](https://github.com/intel/scikit-learn-intelex) (π¨βπ» 82 Β· π 170 Β· π¦ 12K Β· π 280 - 32% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (π¨βπ» 85 Β· π 1.3K Β· π 610 - 7% open Β· β±οΈ 06.10.2024):
```
- git clone https://github.com/intel/scikit-learn-intelex
+ git clone https://github.com/scikit-learn-contrib/imbalanced-learn
```
-- [PyPi](https://pypi.org/project/scikit-learn-intelex) (π₯ 80K / month Β· π¦ 55 Β· β±οΈ 17.09.2024):
+- [PyPi](https://pypi.org/project/imbalanced-learn) (π₯ 17M / month Β· π¦ 450 Β· β±οΈ 04.10.2024):
```
- pip install scikit-learn-intelex
+ pip install imbalanced-learn
```
-- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (π₯ 350K Β· β±οΈ 20.08.2024):
+- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (π₯ 620K Β· β±οΈ 04.10.2024):
```
- conda install -c conda-forge scikit-learn-intelex
+ conda install -c conda-forge imbalanced-learn
```
MLxtend (π₯32 Β· β 4.9K) - A library of extension and helper modules for Pythons data.. BSD-3
-- [GitHub](https://github.com/rasbt/mlxtend) (π¨βπ» 110 Β· π 860 Β· π¦ 15K Β· π 490 - 29% open Β· β±οΈ 02.07.2024):
+- [GitHub](https://github.com/rasbt/mlxtend) (π¨βπ» 110 Β· π 860 Β· π¦ 15K Β· π 490 - 30% open Β· β±οΈ 02.07.2024):
```
git clone https://github.com/rasbt/mlxtend
```
-- [PyPi](https://pypi.org/project/mlxtend) (π₯ 620K / month Β· π¦ 180 Β· β±οΈ 05.01.2024):
+- [PyPi](https://pypi.org/project/mlxtend) (π₯ 610K / month Β· π¦ 180 Β· β±οΈ 05.01.2024):
```
pip install mlxtend
```
@@ -7294,14 +7309,14 @@ _Libraries that extend scikit-learn with additional capabilities._
conda install -c conda-forge mlxtend
```
category_encoders (π₯32 Β· β 2.4K Β· π) - A library of sklearn compatible categorical variable.. BSD-3
+category_encoders (π₯32 Β· β 2.4K) - A library of sklearn compatible categorical variable.. BSD-3
- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (π¨βπ» 70 Β· π 390 Β· π¦ 2.2K Β· π 290 - 15% open Β· β±οΈ 01.10.2024):
```
git clone https://github.com/scikit-learn-contrib/category_encoders
```
-- [PyPi](https://pypi.org/project/category_encoders) (π₯ 1.3M / month Β· π¦ 280 Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/category_encoders) (π₯ 1.4M / month Β· π¦ 280 Β· β±οΈ 01.10.2024):
```
pip install category_encoders
```
@@ -7317,7 +7332,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/koaning/scikit-lego
```
-- [PyPi](https://pypi.org/project/scikit-lego) (π₯ 25K / month Β· π¦ 11 Β· β±οΈ 10.07.2024):
+- [PyPi](https://pypi.org/project/scikit-lego) (π₯ 27K / month Β· π¦ 11 Β· β±οΈ 10.07.2024):
```
pip install scikit-lego
```
@@ -7328,16 +7343,28 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-opt (π₯25 Β· β 5.2K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT
-- [GitHub](https://github.com/guofei9987/scikit-opt) (π¨βπ» 24 Β· π 970 Β· π¦ 230 Β· π 180 - 36% open Β· β±οΈ 23.06.2024):
+- [GitHub](https://github.com/guofei9987/scikit-opt) (π¨βπ» 24 Β· π 990 Β· π¦ 230 Β· π 180 - 37% open Β· β±οΈ 23.06.2024):
```
git clone https://github.com/guofei9987/scikit-opt
```
-- [PyPi](https://pypi.org/project/scikit-opt) (π₯ 5.6K / month Β· π¦ 15 Β· β±οΈ 14.01.2022):
+- [PyPi](https://pypi.org/project/scikit-opt) (π₯ 6.7K / month Β· π¦ 15 Β· β±οΈ 14.01.2022):
```
pip install scikit-opt
```
iterative-stratification (π₯22 Β· β 850) - scikit-learn cross validators for iterative.. BSD-3
+
+- [GitHub](https://github.com/trent-b/iterative-stratification) (π¨βπ» 7 Β· π 75 Β· π¦ 480 Β· π 27 - 11% open Β· β±οΈ 05.10.2024):
+
+ ```
+ git clone https://github.com/trent-b/iterative-stratification
+ ```
+- [PyPi](https://pypi.org/project/iterative-stratification) (π₯ 34K / month Β· π¦ 15 Β· β±οΈ 05.10.2024):
+ ```
+ pip install iterative-stratification
+ ```
+dabl (π₯20 Β· β 720 Β· π€) - Data Analysis Baseline Library. BSD-3
- [GitHub](https://github.com/amueller/dabl) (π¨βπ» 24 Β· π 110 Β· β±οΈ 09.01.2024):
@@ -7345,43 +7372,42 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/amueller/dabl
```
-- [PyPi](https://pypi.org/project/dabl) (π₯ 4.8K / month Β· π¦ 3 Β· β±οΈ 07.08.2024):
+- [PyPi](https://pypi.org/project/dabl) (π₯ 5.5K / month Β· π¦ 3 Β· β±οΈ 07.08.2024):
```
pip install dabl
```
scikit-tda (π₯18 Β· β 520) - Topological Data Analysis for Python. MIT
-- [GitHub](https://github.com/scikit-tda/scikit-tda) (π¨βπ» 6 Β· π 54 Β· π¦ 61 Β· π 22 - 18% open Β· β±οΈ 19.07.2024):
+- [GitHub](https://github.com/scikit-tda/scikit-tda) (π¨βπ» 6 Β· π 54 Β· π¦ 62 Β· π 22 - 18% open Β· β±οΈ 19.07.2024):
```
git clone https://github.com/scikit-tda/scikit-tda
```
-- [PyPi](https://pypi.org/project/scikit-tda) (π₯ 1.1K / month Β· β±οΈ 19.07.2024):
+- [PyPi](https://pypi.org/project/scikit-tda) (π₯ 1.2K / month Β· β±οΈ 19.07.2024):
```
pip install scikit-tda
```
DESlib (π₯17 Β· β 480) - A Python library for dynamic classifier and ensemble selection. BSD-3
+DESlib (π₯18 Β· β 480) - A Python library for dynamic classifier and ensemble selection. BSD-3
- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (π¨βπ» 17 Β· π 100 Β· π 160 - 11% open Β· β±οΈ 15.04.2024):
```
git clone https://github.com/scikit-learn-contrib/DESlib
```
-- [PyPi](https://pypi.org/project/deslib) (π₯ 1.1K / month Β· π¦ 3 Β· β±οΈ 12.04.2024):
+- [PyPi](https://pypi.org/project/deslib) (π₯ 1.3K / month Β· π¦ 3 Β· β±οΈ 12.04.2024):
```
pip install deslib
```
Show 10 hidden projects...
+Show 9 hidden projects...
- scikit-survival (π₯31 Β· β 1.1K) - Survival analysis built on top of scikit-learn. βοΈGPL-3.0 Apache-2 Apache-2 MIT BSD-2 BSD-3 BSD-3 BSD-2 xgboost
- skope-rules (π₯21 Β· β 620 Β· π) - machine learning with logical rules in Python. βοΈBSD-1-Clause BSD-3 accelerate (π₯40 Β· β 7.8K) - A simple way to launch, train, and use PyTorch models on.. Apache-2
-- [GitHub](https://github.com/huggingface/accelerate) (π¨βπ» 290 Β· π 930 Β· π¦ 53K Β· π 1.6K - 8% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/huggingface/accelerate) (π¨βπ» 300 Β· π 940 Β· π¦ 53K Β· π 1.6K - 7% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/huggingface/accelerate
```
-- [PyPi](https://pypi.org/project/accelerate) (π₯ 7.4M / month Β· π¦ 1.5K Β· β±οΈ 13.09.2024):
+- [PyPi](https://pypi.org/project/accelerate) (π₯ 7.7M / month Β· π¦ 1.5K Β· β±οΈ 07.10.2024):
```
pip install accelerate
```
-- [Conda](https://anaconda.org/conda-forge/accelerate) (π₯ 220K Β· β±οΈ 06.09.2024):
+- [Conda](https://anaconda.org/conda-forge/accelerate) (π₯ 220K Β· β±οΈ 08.10.2024):
```
conda install -c conda-forge accelerate
```
@@ -7418,7 +7444,7 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/KevinMusgrave/pytorch-metric-learning
```
-- [PyPi](https://pypi.org/project/pytorch-metric-learning) (π₯ 800K / month Β· π¦ 50 Β· β±οΈ 25.07.2024):
+- [PyPi](https://pypi.org/project/pytorch-metric-learning) (π₯ 710K / month Β· π¦ 50 Β· β±οΈ 25.07.2024):
```
pip install pytorch-metric-learning
```
@@ -7429,7 +7455,7 @@ _Libraries that extend Pytorch with additional capabilities._
tinygrad (π₯33 Β· β 26K) - You like pytorch? You like micrograd? You love tinygrad!. MIT
-- [GitHub](https://github.com/tinygrad/tinygrad) (π¨βπ» 340 Β· π 2.9K Β· π¦ 110 Β· π 730 - 14% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/tinygrad/tinygrad) (π¨βπ» 340 Β· π 2.9K Β· π¦ 110 Β· π 750 - 15% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/geohot/tinygrad
@@ -7442,7 +7468,7 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/rtqichen/torchdiffeq
```
-- [PyPi](https://pypi.org/project/torchdiffeq) (π₯ 830K / month Β· π¦ 100 Β· β±οΈ 29.05.2024):
+- [PyPi](https://pypi.org/project/torchdiffeq) (π₯ 840K / month Β· π¦ 100 Β· β±οΈ 29.05.2024):
```
pip install torchdiffeq
```
@@ -7458,7 +7484,7 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/Lightning-AI/lightning-flash
```
-- [PyPi](https://pypi.org/project/lightning-flash) (π₯ 2K / month Β· π¦ 5 Β· β±οΈ 11.05.2022):
+- [PyPi](https://pypi.org/project/lightning-flash) (π₯ 2.7K / month Β· π¦ 5 Β· β±οΈ 11.05.2022):
```
pip install lightning-flash
```
@@ -7469,7 +7495,7 @@ _Libraries that extend Pytorch with additional capabilities._
EfficientNets (π₯25 Β· β 1.6K) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2
-- [GitHub](https://github.com/rwightman/gen-efficientnet-pytorch) (π¨βπ» 5 Β· π 210 Β· π¦ 250 Β· π 55 - 7% open Β· β±οΈ 13.06.2024):
+- [GitHub](https://github.com/rwightman/gen-efficientnet-pytorch) (π¨βπ» 5 Β· π 210 Β· π¦ 260 Β· π 55 - 7% open Β· β±οΈ 13.06.2024):
```
git clone https://github.com/rwightman/gen-efficientnet-pytorch
@@ -7486,27 +7512,15 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/rusty1s/pytorch_scatter
```
-- [PyPi](https://pypi.org/project/torch-scatter) (π₯ 37K / month Β· π¦ 150 Β· β±οΈ 06.10.2023):
+- [PyPi](https://pypi.org/project/torch-scatter) (π₯ 40K / month Β· π¦ 150 Β· β±οΈ 06.10.2023):
```
pip install torch-scatter
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (π₯ 490K Β· β±οΈ 24.08.2024):
+- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (π₯ 500K Β· β±οΈ 08.10.2024):
```
conda install -c conda-forge pytorch_scatter
```
Pytorch Toolbelt (π₯23 Β· β 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT
-
-- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (π¨βπ» 7 Β· π 120 Β· π₯ 43 Β· π 33 - 12% open Β· β±οΈ 01.10.2024):
-
- ```
- git clone https://github.com/BloodAxe/pytorch-toolbelt
- ```
-- [PyPi](https://pypi.org/project/pytorch_toolbelt) (π₯ 7.5K / month Β· π¦ 7 Β· β±οΈ 27.06.2022):
- ```
- pip install pytorch_toolbelt
- ```
-PyTorch Sparse (π₯23 Β· β 1K) - PyTorch Extension Library of Optimized Autograd Sparse Matrix.. MIT
- [GitHub](https://github.com/rusty1s/pytorch_sparse) (π¨βπ» 45 Β· π 150 Β· π 280 - 10% open Β· β±οΈ 15.08.2024):
@@ -7514,15 +7528,27 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/rusty1s/pytorch_sparse
```
-- [PyPi](https://pypi.org/project/torch-sparse) (π₯ 25K / month Β· π¦ 120 Β· β±οΈ 06.10.2023):
+- [PyPi](https://pypi.org/project/torch-sparse) (π₯ 28K / month Β· π¦ 120 Β· β±οΈ 06.10.2023):
```
pip install torch-sparse
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (π₯ 460K Β· β±οΈ 18.09.2024):
+- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (π₯ 470K Β· β±οΈ 08.10.2024):
```
conda install -c conda-forge pytorch_sparse
```
Pytorch Toolbelt (π₯22 Β· β 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT
+
+- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (π¨βπ» 7 Β· π 120 Β· π₯ 44 Β· π 33 - 12% open Β· β±οΈ 01.10.2024):
+
+ ```
+ git clone https://github.com/BloodAxe/pytorch-toolbelt
+ ```
+- [PyPi](https://pypi.org/project/pytorch_toolbelt) (π₯ 7.8K / month Β· π¦ 7 Β· β±οΈ 27.06.2022):
+ ```
+ pip install pytorch_toolbelt
+ ```
+Show 23 hidden projects...
- pretrainedmodels (π₯29 Β· β 9K Β· π) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 Apache-2 MIT Apache-2 MIT MIT MIT MIT Apache-2 MIT βοΈCC BY-NC-SA 4.0 βοΈLGPL-3.0 MIT MIT
-- Torch-Struct (π₯19 Β· β 1.1K Β· π) - Fast, general, and tested differentiable structured.. MIT MIT MIT MIT Apache-2 MIT MIT MIT Apache-2 Apache-2
@@ -7567,12 +7593,12 @@ _Libraries for connecting to, operating, and querying databases._
scipy (π₯50 Β· β 13K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3
-- [GitHub](https://github.com/scipy/scipy) (π¨βπ» 1.7K Β· π 5.1K Β· π₯ 420K Β· π¦ 1.1M Β· π 11K - 16% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/scipy/scipy) (π¨βπ» 1.7K Β· π 5.2K Β· π₯ 420K Β· π¦ 1.1M Β· π 11K - 16% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/scipy/scipy
```
-- [PyPi](https://pypi.org/project/scipy) (π₯ 130M / month Β· π¦ 46K Β· β±οΈ 21.08.2024):
+- [PyPi](https://pypi.org/project/scipy) (π₯ 140M / month Β· π¦ 46K Β· β±οΈ 21.08.2024):
```
pip install scipy
```
@@ -7583,68 +7609,52 @@ _Libraries for connecting to, operating, and querying databases._
SymPy (π₯49 Β· β 13K) - A computer algebra system written in pure Python. BSD-3
-- [GitHub](https://github.com/sympy/sympy) (π¨βπ» 1.3K Β· π 4.4K Β· π₯ 550K Β· π¦ 170K Β· π 14K - 36% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/sympy/sympy) (π¨βπ» 1.3K Β· π 4.4K Β· π₯ 550K Β· π¦ 180K Β· π 14K - 36% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/sympy/sympy
```
-- [PyPi](https://pypi.org/project/sympy) (π₯ 32M / month Β· π¦ 3.5K Β· β±οΈ 18.09.2024):
+- [PyPi](https://pypi.org/project/sympy) (π₯ 30M / month Β· π¦ 3.5K Β· β±οΈ 18.09.2024):
```
pip install sympy
```
-- [Conda](https://anaconda.org/conda-forge/sympy) (π₯ 6.7M Β· β±οΈ 28.09.2024):
+- [Conda](https://anaconda.org/conda-forge/sympy):
```
conda install -c conda-forge sympy
```
Streamlit (π₯46 Β· β 35K) - Streamlit A faster way to build and share data apps. Apache-2
-- [GitHub](https://github.com/streamlit/streamlit) (π¨βπ» 240 Β· π 3K Β· π¦ 530K Β· π 4.6K - 20% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/streamlit/streamlit) (π¨βπ» 240 Β· π 3K Β· π¦ 540K Β· π 4.6K - 20% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/streamlit/streamlit
```
-- [PyPi](https://pypi.org/project/streamlit) (π₯ 6.4M / month Β· π¦ 2.7K Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/streamlit) (π₯ 7.2M / month Β· π¦ 2.7K Β· β±οΈ 01.10.2024):
```
pip install streamlit
```
Gradio (π₯44 Β· β 32K) - Wrap UIs around any model, share with anyone. Apache-2
+Gradio (π₯44 Β· β 33K) - Wrap UIs around any model, share with anyone. Apache-2
-- [GitHub](https://github.com/gradio-app/gradio) (π¨βπ» 390 Β· π 2.4K Β· π¦ 42K Β· π 4.8K - 11% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/gradio-app/gradio) (π¨βπ» 410 Β· π 2.5K Β· π¦ 43K Β· π 4.8K - 11% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/gradio-app/gradio
```
-- [PyPi](https://pypi.org/project/gradio) (π₯ 6.4M / month Β· π¦ 780 Β· β±οΈ 30.09.2024):
+- [PyPi](https://pypi.org/project/gradio) (π₯ 6.4M / month Β· π¦ 800 Β· β±οΈ 09.10.2024):
```
pip install gradio
```
PyOD (π₯36 Β· β 8.5K) - A Python Library for Outlier and Anomaly Detection, Integrating Classical.. BSD-2
-
-- [GitHub](https://github.com/yzhao062/pyod) (π¨βπ» 60 Β· π 1.4K Β· π¦ 4.2K Β· π 370 - 60% open Β· β±οΈ 05.09.2024):
-
- ```
- git clone https://github.com/yzhao062/pyod
- ```
-- [PyPi](https://pypi.org/project/pyod) (π₯ 670K / month Β· π¦ 110 Β· β±οΈ 06.09.2024):
- ```
- pip install pyod
- ```
-- [Conda](https://anaconda.org/conda-forge/pyod) (π₯ 120K Β· β±οΈ 06.09.2024):
- ```
- conda install -c conda-forge pyod
- ```
-Autograd (π₯36 Β· β 7K) - Efficiently computes derivatives of NumPy code. MIT
-- [GitHub](https://github.com/HIPS/autograd) (π¨βπ» 59 Β· π 900 Β· π¦ 9.6K Β· π 420 - 42% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/HIPS/autograd) (π¨βπ» 59 Β· π 910 Β· π¦ 9.7K Β· π 420 - 42% open Β· β±οΈ 07.10.2024):
```
git clone https://github.com/HIPS/autograd
```
-- [PyPi](https://pypi.org/project/autograd) (π₯ 2.2M / month Β· π¦ 280 Β· β±οΈ 22.08.2024):
+- [PyPi](https://pypi.org/project/autograd) (π₯ 2.6M / month Β· π¦ 280 Β· β±οΈ 22.08.2024):
```
pip install autograd
```
@@ -7655,12 +7665,12 @@ _Libraries for connecting to, operating, and querying databases._
PennyLane (π₯36 Β· β 2.3K) - PennyLane is a cross-platform Python library for quantum.. Apache-2
-- [GitHub](https://github.com/PennyLaneAI/pennylane) (π¨βπ» 180 Β· π 590 Β· π₯ 95 Β· π¦ 1.1K Β· π 1.4K - 21% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/PennyLaneAI/pennylane) (π¨βπ» 180 Β· π 590 Β· π₯ 95 Β· π¦ 1.1K Β· π 1.4K - 22% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/PennyLaneAI/PennyLane
```
-- [PyPi](https://pypi.org/project/pennylane) (π₯ 69K / month Β· π¦ 120 Β· β±οΈ 12.09.2024):
+- [PyPi](https://pypi.org/project/pennylane) (π₯ 72K / month Β· π¦ 120 Β· β±οΈ 12.09.2024):
```
pip install pennylane
```
@@ -7669,42 +7679,46 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge pennylane
```
Datasette (π₯35 Β· β 9.4K) - An open source multi-tool for exploring and publishing data. Apache-2
+Datasette (π₯35 Β· β 9.5K) - An open source multi-tool for exploring and publishing data. Apache-2
-- [GitHub](https://github.com/simonw/datasette) (π¨βπ» 80 Β· π 670 Β· π₯ 68 Β· π¦ 1.3K Β· π 1.9K - 32% open Β· β±οΈ 09.09.2024):
+- [GitHub](https://github.com/simonw/datasette) (π¨βπ» 80 Β· π 680 Β· π₯ 68 Β· π¦ 1.3K Β· π 1.9K - 32% open Β· β±οΈ 07.10.2024):
```
git clone https://github.com/simonw/datasette
```
-- [PyPi](https://pypi.org/project/datasette) (π₯ 58K / month Β· π¦ 410 Β· β±οΈ 06.09.2024):
+- [PyPi](https://pypi.org/project/datasette) (π₯ 61K / month Β· π¦ 410 Β· β±οΈ 07.10.2024):
```
pip install datasette
```
-- [Conda](https://anaconda.org/conda-forge/datasette) (π₯ 44K Β· β±οΈ 24.06.2024):
+- [Conda](https://anaconda.org/conda-forge/datasette) (π₯ 45K Β· β±οΈ 08.10.2024):
```
conda install -c conda-forge datasette
```
carla (π₯34 Β· β 11K) - Open-source simulator for autonomous driving research. MIT
+PyOD (π₯35 Β· β 8.5K Β· π) - A Python Library for Outlier and Anomaly Detection, Integrating.. BSD-2
-- [GitHub](https://github.com/carla-simulator/carla) (π¨βπ» 190 Β· π 3.6K Β· π¦ 810 Β· π 5.5K - 19% open Β· β±οΈ 27.09.2024):
+- [GitHub](https://github.com/yzhao062/pyod) (π¨βπ» 60 Β· π 1.4K Β· π¦ 4.3K Β· π 370 - 60% open Β· β±οΈ 05.09.2024):
```
- git clone https://github.com/carla-simulator/carla
+ git clone https://github.com/yzhao062/pyod
```
-- [PyPi](https://pypi.org/project/carla) (π₯ 17K / month Β· π¦ 11 Β· β±οΈ 14.11.2023):
+- [PyPi](https://pypi.org/project/pyod) (π₯ 660K / month Β· π¦ 110 Β· β±οΈ 06.09.2024):
```
- pip install carla
+ pip install pyod
+ ```
+- [Conda](https://anaconda.org/conda-forge/pyod) (π₯ 120K Β· β±οΈ 06.09.2024):
+ ```
+ conda install -c conda-forge pyod
```
DeepChem (π₯34 Β· β 5.4K Β· π) - Democratizing Deep-Learning for Drug Discovery, Quantum.. MIT
+DeepChem (π₯35 Β· β 5.4K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT
-- [GitHub](https://github.com/deepchem/deepchem) (π¨βπ» 250 Β· π 1.7K Β· π¦ 430 Β· π 1.9K - 33% open Β· β±οΈ 20.09.2024):
+- [GitHub](https://github.com/deepchem/deepchem) (π¨βπ» 250 Β· π 1.7K Β· π¦ 440 Β· π 1.9K - 33% open Β· β±οΈ 07.10.2024):
```
git clone https://github.com/deepchem/deepchem
```
-- [PyPi](https://pypi.org/project/deepchem) (π₯ 44K / month Β· π¦ 13 Β· β±οΈ 20.09.2024):
+- [PyPi](https://pypi.org/project/deepchem) (π₯ 70K / month Β· π¦ 13 Β· β±οΈ 07.10.2024):
```
pip install deepchem
```
@@ -7713,52 +7727,64 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge deepchem
```
hdbscan (π₯33 Β· β 2.8K Β· π) - A high performance implementation of HDBSCAN clustering. BSD-3
+carla (π₯34 Β· β 11K) - Open-source simulator for autonomous driving research. MIT
-- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (π¨βπ» 92 Β· π 490 Β· π¦ 4.1K Β· π 530 - 67% open Β· β±οΈ 15.08.2024):
+- [GitHub](https://github.com/carla-simulator/carla) (π¨βπ» 190 Β· π 3.6K Β· π¦ 810 Β· π 5.6K - 19% open Β· β±οΈ 08.10.2024):
```
- git clone https://github.com/scikit-learn-contrib/hdbscan
+ git clone https://github.com/carla-simulator/carla
```
-- [PyPi](https://pypi.org/project/hdbscan) (π₯ 600K / month Β· π¦ 330 Β· β±οΈ 05.08.2024):
+- [PyPi](https://pypi.org/project/carla) (π₯ 19K / month Β· π¦ 11 Β· β±οΈ 14.11.2023):
```
- pip install hdbscan
+ pip install carla
```
-- [Conda](https://anaconda.org/conda-forge/hdbscan) (π₯ 2.1M Β· β±οΈ 12.09.2024):
+tensorly (π₯34 Β· β 1.5K) - TensorLy: Tensor Learning in Python. BSD-2
+
+- [GitHub](https://github.com/tensorly/tensorly) (π¨βπ» 69 Β· π 290 Β· π¦ 770 Β· π 270 - 21% open Β· β±οΈ 28.09.2024):
+
```
- conda install -c conda-forge hdbscan
+ git clone https://github.com/tensorly/tensorly
+ ```
+- [PyPi](https://pypi.org/project/tensorly) (π₯ 110K / month Β· π¦ 92 Β· β±οΈ 08.03.2023):
+ ```
+ pip install tensorly
+ ```
+- [Conda](https://anaconda.org/conda-forge/tensorly) (π₯ 370K Β· β±οΈ 10.06.2024):
+ ```
+ conda install -c conda-forge tensorly
```
Pythran (π₯33 Β· β 2K) - Ahead of Time compiler for numeric kernels. BSD-3
+hdbscan (π₯33 Β· β 2.8K) - A high performance implementation of HDBSCAN clustering. BSD-3
-- [GitHub](https://github.com/serge-sans-paille/pythran) (π¨βπ» 73 Β· π 190 Β· π¦ 2.6K Β· π 870 - 15% open Β· β±οΈ 23.09.2024):
+- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (π¨βπ» 92 Β· π 500 Β· π¦ 4.1K Β· π 530 - 67% open Β· β±οΈ 08.10.2024):
```
- git clone https://github.com/serge-sans-paille/pythran
+ git clone https://github.com/scikit-learn-contrib/hdbscan
```
-- [PyPi](https://pypi.org/project/pythran) (π₯ 200K / month Β· π¦ 19 Β· β±οΈ 28.05.2024):
+- [PyPi](https://pypi.org/project/hdbscan) (π₯ 620K / month Β· π¦ 330 Β· β±οΈ 08.10.2024):
```
- pip install pythran
+ pip install hdbscan
```
-- [Conda](https://anaconda.org/conda-forge/pythran) (π₯ 720K Β· β±οΈ 03.09.2024):
+- [Conda](https://anaconda.org/conda-forge/hdbscan) (π₯ 2.2M Β· β±οΈ 08.10.2024):
```
- conda install -c conda-forge pythran
+ conda install -c conda-forge hdbscan
```
tensorly (π₯33 Β· β 1.5K) - TensorLy: Tensor Learning in Python. BSD-2
+Pythran (π₯33 Β· β 2K) - Ahead of Time compiler for numeric kernels. BSD-3
-- [GitHub](https://github.com/tensorly/tensorly) (π¨βπ» 69 Β· π 290 Β· π¦ 760 Β· π 270 - 21% open Β· β±οΈ 28.09.2024):
+- [GitHub](https://github.com/serge-sans-paille/pythran) (π¨βπ» 73 Β· π 190 Β· π¦ 2.7K Β· π 870 - 15% open Β· β±οΈ 23.09.2024):
```
- git clone https://github.com/tensorly/tensorly
+ git clone https://github.com/serge-sans-paille/pythran
```
-- [PyPi](https://pypi.org/project/tensorly) (π₯ 99K / month Β· π¦ 92 Β· β±οΈ 08.03.2023):
+- [PyPi](https://pypi.org/project/pythran) (π₯ 200K / month Β· π¦ 19 Β· β±οΈ 28.05.2024):
```
- pip install tensorly
+ pip install pythran
```
-- [Conda](https://anaconda.org/conda-forge/tensorly) (π₯ 370K Β· β±οΈ 10.06.2024):
+- [Conda](https://anaconda.org/conda-forge/pythran) (π₯ 720K Β· β±οΈ 03.09.2024):
```
- conda install -c conda-forge tensorly
+ conda install -c conda-forge pythran
```
agate (π₯33 Β· β 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT
@@ -7779,56 +7805,56 @@ _Libraries for connecting to, operating, and querying databases._
River (π₯32 Β· β 5K) - Online machine learning in Python. BSD-3
-- [GitHub](https://github.com/online-ml/river) (π¨βπ» 120 Β· π 540 Β· π¦ 560 Β· π 610 - 18% open Β· β±οΈ 11.09.2024):
+- [GitHub](https://github.com/online-ml/river) (π¨βπ» 120 Β· π 540 Β· π¦ 570 Β· π 610 - 18% open Β· β±οΈ 03.10.2024):
```
git clone https://github.com/online-ml/river
```
-- [PyPi](https://pypi.org/project/river) (π₯ 72K / month Β· π¦ 54 Β· β±οΈ 09.07.2024):
+- [PyPi](https://pypi.org/project/river) (π₯ 78K / month Β· π¦ 56 Β· β±οΈ 09.07.2024):
```
pip install river
```
-- [Conda](https://anaconda.org/conda-forge/river) (π₯ 80K Β· β±οΈ 06.10.2023):
+- [Conda](https://anaconda.org/conda-forge/river) (π₯ 81K Β· β±οΈ 06.10.2023):
```
conda install -c conda-forge river
```
datalad (π₯32 Β· β 530) - Keep code, data, containers under control with git and git-annex. MIT
+pyopencl (π₯32 Β· β 1.1K) - OpenCL integration for Python, plus shiny features. MIT
-- [GitHub](https://github.com/datalad/datalad) (π¨βπ» 57 Β· π 110 Β· π¦ 420 Β· π 3.9K - 13% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/inducer/pyopencl) (π¨βπ» 96 Β· π 240 Β· π¦ 2K Β· π 350 - 20% open Β· β±οΈ 09.10.2024):
```
- git clone https://github.com/datalad/datalad
+ git clone https://github.com/inducer/pyopencl
```
-- [PyPi](https://pypi.org/project/datalad) (π₯ 50K / month Β· π¦ 95 Β· β±οΈ 08.08.2024):
+- [PyPi](https://pypi.org/project/pyopencl) (π₯ 82K / month Β· π¦ 170 Β· β±οΈ 25.06.2024):
```
- pip install datalad
+ pip install pyopencl
```
-- [Conda](https://anaconda.org/conda-forge/datalad) (π₯ 620K Β· β±οΈ 08.08.2024):
+- [Conda](https://anaconda.org/conda-forge/pyopencl) (π₯ 1.3M Β· β±οΈ 26.06.2024):
```
- conda install -c conda-forge datalad
+ conda install -c conda-forge pyopencl
```
PaddleHub (π₯31 Β· β 13K) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (π¨βπ» 70 Β· π 2.1K Β· π₯ 790 Β· π¦ 1.7K Β· π 1.3K - 44% open Β· β±οΈ 07.08.2024):
+- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (π¨βπ» 70 Β· π 2.1K Β· π₯ 800 Β· π¦ 1.7K Β· π 1.3K - 44% open Β· β±οΈ 07.08.2024):
```
git clone https://github.com/PaddlePaddle/PaddleHub
```
-- [PyPi](https://pypi.org/project/paddlehub) (π₯ 5.1K / month Β· π¦ 7 Β· β±οΈ 20.09.2023):
+- [PyPi](https://pypi.org/project/paddlehub) (π₯ 5.2K / month Β· π¦ 7 Β· β±οΈ 20.09.2023):
```
pip install paddlehub
```
pyjanitor (π₯31 Β· β 1.3K) - Clean APIs for data cleaning. Python implementation of R package.. MIT
-- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (π¨βπ» 110 Β· π 170 Β· π¦ 720 Β· π 560 - 19% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (π¨βπ» 110 Β· π 170 Β· π¦ 720 Β· π 560 - 19% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/pyjanitor-devs/pyjanitor
```
-- [PyPi](https://pypi.org/project/pyjanitor) (π₯ 87K / month Β· π¦ 32 Β· β±οΈ 28.09.2024):
+- [PyPi](https://pypi.org/project/pyjanitor) (π₯ 89K / month Β· π¦ 32 Β· β±οΈ 28.09.2024):
```
pip install pyjanitor
```
@@ -7837,46 +7863,58 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge pyjanitor
```
pyopencl (π₯31 Β· β 1.1K) - OpenCL integration for Python, plus shiny features. MIT
+datalad (π₯31 Β· β 530) - Keep code, data, containers under control with git and git-annex. MIT
-- [GitHub](https://github.com/inducer/pyopencl) (π¨βπ» 96 Β· π 240 Β· π¦ 2K Β· π 350 - 21% open Β· β±οΈ 30.08.2024):
+- [GitHub](https://github.com/datalad/datalad) (π¨βπ» 57 Β· π 110 Β· π¦ 420 Β· π 3.9K - 13% open Β· β±οΈ 30.09.2024):
```
- git clone https://github.com/inducer/pyopencl
+ git clone https://github.com/datalad/datalad
```
-- [PyPi](https://pypi.org/project/pyopencl) (π₯ 74K / month Β· π¦ 170 Β· β±οΈ 25.06.2024):
+- [PyPi](https://pypi.org/project/datalad) (π₯ 46K / month Β· π¦ 95 Β· β±οΈ 08.08.2024):
```
- pip install pyopencl
+ pip install datalad
```
-- [Conda](https://anaconda.org/conda-forge/pyopencl) (π₯ 1.3M Β· β±οΈ 26.06.2024):
+- [Conda](https://anaconda.org/conda-forge/datalad) (π₯ 630K Β· β±οΈ 08.08.2024):
```
- conda install -c conda-forge pyopencl
+ conda install -c conda-forge datalad
```
causalml (π₯29 Β· β 5K) - Uplift modeling and causal inference with machine learning algorithms. Apache-2
-- [GitHub](https://github.com/uber/causalml) (π¨βπ» 64 Β· π 770 Β· π¦ 220 Β· π 400 - 13% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/uber/causalml) (π¨βπ» 64 Β· π 770 Β· π¦ 220 Β· π 400 - 13% open Β· β±οΈ 07.10.2024):
```
git clone https://github.com/uber/causalml
```
-- [PyPi](https://pypi.org/project/causalml) (π₯ 49K / month Β· π¦ 2 Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/causalml) (π₯ 51K / month Β· π¦ 2 Β· β±οΈ 01.10.2024):
```
pip install causalml
```
anomalib (π₯29 Β· β 3.7K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2
-- [GitHub](https://github.com/openvinotoolkit/anomalib) (π¨βπ» 81 Β· π 650 Β· π₯ 14K Β· π¦ 96 Β· π 900 - 13% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/openvinotoolkit/anomalib) (π¨βπ» 81 Β· π 660 Β· π₯ 14K Β· π¦ 98 Β· π 920 - 15% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/openvinotoolkit/anomalib
```
-- [PyPi](https://pypi.org/project/anomalib) (π₯ 46K / month Β· π¦ 5 Β· β±οΈ 12.08.2024):
+- [PyPi](https://pypi.org/project/anomalib) (π₯ 59K / month Β· π¦ 5 Β· β±οΈ 12.08.2024):
```
pip install anomalib
```
dstack (π₯29 Β· β 1.4K) - dstack is an open-source alternative to Kubernetes, designed to.. MPL-2.0
+
+- [GitHub](https://github.com/dstackai/dstack) (π¨βπ» 36 Β· π 120 Β· π¦ 16 Β· π 960 - 11% open Β· β±οΈ 10.10.2024):
+
+ ```
+ git clone https://github.com/dstackai/dstack
+ ```
+- [PyPi](https://pypi.org/project/dstack) (π₯ 9.7K / month Β· β±οΈ 09.10.2024):
+ ```
+ pip install dstack
+ ```
+Prince (π₯29 Β· β 1.3K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT
- [GitHub](https://github.com/MaxHalford/prince) (π¨βπ» 16 Β· π 180 Β· π¦ 610 Β· π 140 - 6% open Β· β±οΈ 07.09.2024):
@@ -7884,7 +7922,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/MaxHalford/prince
```
-- [PyPi](https://pypi.org/project/prince) (π₯ 190K / month Β· π¦ 18 Β· β±οΈ 07.09.2024):
+- [PyPi](https://pypi.org/project/prince) (π₯ 200K / month Β· π¦ 18 Β· β±οΈ 07.09.2024):
```
pip install prince
```
@@ -7900,7 +7938,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/tableau/TabPy
```
-- [PyPi](https://pypi.org/project/tabpy) (π₯ 7.1K / month Β· π¦ 2 Β· β±οΈ 23.09.2024):
+- [PyPi](https://pypi.org/project/tabpy) (π₯ 7.2K / month Β· π¦ 2 Β· β±οΈ 23.09.2024):
```
pip install tabpy
```
@@ -7909,18 +7947,6 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c anaconda tabpy-client
```
dstack (π₯28 Β· β 1.3K) - dstack is an open-source alternative to Kubernetes, designed to.. MPL-2.0
-
-- [GitHub](https://github.com/dstackai/dstack) (π¨βπ» 34 Β· π 100 Β· π¦ 15 Β· π 940 - 11% open Β· β±οΈ 03.10.2024):
-
- ```
- git clone https://github.com/dstackai/dstack
- ```
-- [PyPi](https://pypi.org/project/dstack) (π₯ 6.9K / month Β· β±οΈ 30.09.2024):
- ```
- pip install dstack
- ```
-kmodes (π₯28 Β· β 1.2K Β· π€) - Python implementations of the k-modes and k-prototypes clustering.. MIT
- [GitHub](https://github.com/nicodv/kmodes) (π¨βπ» 22 Β· π 420 Β· π¦ 2.8K Β· π 160 - 10% open Β· β±οΈ 17.01.2024):
@@ -7932,19 +7958,19 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install kmodes
```
-- [Conda](https://anaconda.org/conda-forge/kmodes) (π₯ 49K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/kmodes) (π₯ 50K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge kmodes
```
adapter-transformers (π₯27 Β· β 2.5K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface
-- [GitHub](https://github.com/adapter-hub/adapters) (π¨βπ» 13 Β· π 340 Β· π¦ 100 Β· π 380 - 10% open Β· β±οΈ 22.08.2024):
+- [GitHub](https://github.com/adapter-hub/adapters) (π¨βπ» 13 Β· π 340 Β· π¦ 110 Β· π 380 - 10% open Β· β±οΈ 22.08.2024):
```
git clone https://github.com/Adapter-Hub/adapter-transformers
```
-- [PyPi](https://pypi.org/project/adapter-transformers) (π₯ 21K / month Β· π¦ 12 Β· β±οΈ 07.07.2024):
+- [PyPi](https://pypi.org/project/adapter-transformers) (π₯ 24K / month Β· π¦ 12 Β· β±οΈ 07.07.2024):
```
pip install adapter-transformers
```
@@ -7960,7 +7986,7 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install pyclustering
```
-- [Conda](https://anaconda.org/conda-forge/pyclustering) (π₯ 89K Β· β±οΈ 16.11.2023):
+- [Conda](https://anaconda.org/conda-forge/pyclustering) (π₯ 90K Β· β±οΈ 16.11.2023):
```
conda install -c conda-forge pyclustering
```
@@ -7972,7 +7998,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/google/trax
```
-- [PyPi](https://pypi.org/project/trax) (π₯ 5.5K / month Β· π¦ 1 Β· β±οΈ 26.10.2021):
+- [PyPi](https://pypi.org/project/trax) (π₯ 6K / month Β· π¦ 1 Β· β±οΈ 26.10.2021):
```
pip install trax
```
@@ -7984,47 +8010,47 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/solegalli/feature_engine
```
-- [PyPi](https://pypi.org/project/feature_engine) (π₯ 170K / month Β· π¦ 160 Β· β±οΈ 31.08.2024):
+- [PyPi](https://pypi.org/project/feature_engine) (π₯ 180K / month Β· π¦ 160 Β· β±οΈ 31.08.2024):
```
pip install feature_engine
```
-- [Conda](https://anaconda.org/conda-forge/feature_engine) (π₯ 57K Β· β±οΈ 01.09.2024):
+- [Conda](https://anaconda.org/conda-forge/feature_engine) (π₯ 58K Β· β±οΈ 01.09.2024):
```
conda install -c conda-forge feature_engine
```
avalanche (π₯26 Β· β 1.8K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT
-- [GitHub](https://github.com/ContinualAI/avalanche) (π¨βπ» 80 Β· π 290 Β· π₯ 35 Β· π¦ 100 Β· π 810 - 11% open Β· β±οΈ 03.06.2024):
+- [GitHub](https://github.com/ContinualAI/avalanche) (π¨βπ» 80 Β· π 290 Β· π₯ 35 Β· π¦ 110 Β· π 810 - 11% open Β· β±οΈ 03.06.2024):
```
git clone https://github.com/ContinualAI/avalanche
```
-- [PyPi](https://pypi.org/project/avalanche-lib) (π₯ 2K / month Β· π¦ 3 Β· β±οΈ 27.02.2024):
+- [PyPi](https://pypi.org/project/avalanche-lib) (π₯ 2.2K / month Β· π¦ 3 Β· β±οΈ 27.02.2024):
```
pip install avalanche-lib
```
AugLy (π₯25 Β· β 4.9K) - A data augmentations library for audio, image, text, and video. MIT
+AugLy (π₯25 Β· β 5K) - A data augmentations library for audio, image, text, and video. MIT
-- [GitHub](https://github.com/facebookresearch/AugLy) (π¨βπ» 36 Β· π 300 Β· π¦ 140 Β· π 78 - 30% open Β· β±οΈ 20.09.2024):
+- [GitHub](https://github.com/facebookresearch/AugLy) (π¨βπ» 37 Β· π 300 Β· π¦ 140 Β· π 78 - 30% open Β· β±οΈ 09.10.2024):
```
git clone https://github.com/facebookresearch/AugLy
```
-- [PyPi](https://pypi.org/project/augly) (π₯ 2.8K / month Β· π¦ 4 Β· β±οΈ 05.12.2023):
+- [PyPi](https://pypi.org/project/augly) (π₯ 3K / month Β· π¦ 4 Β· β±οΈ 05.12.2023):
```
pip install augly
```
metric-learn (π₯25 Β· β 1.4K) - Metric learning algorithms in Python. MIT
-- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (π¨βπ» 23 Β· π 230 Β· π¦ 400 Β· π 170 - 30% open Β· β±οΈ 03.08.2024):
+- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (π¨βπ» 23 Β· π 230 Β· π¦ 410 Β· π 170 - 30% open Β· β±οΈ 03.08.2024):
```
git clone https://github.com/scikit-learn-contrib/metric-learn
```
-- [PyPi](https://pypi.org/project/metric-learn) (π₯ 4.8K / month Β· π¦ 7 Β· β±οΈ 09.10.2023):
+- [PyPi](https://pypi.org/project/metric-learn) (π₯ 5.2K / month Β· π¦ 7 Β· β±οΈ 09.10.2023):
```
pip install metric-learn
```
@@ -8040,19 +8066,19 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/mars-project/mars
```
-- [PyPi](https://pypi.org/project/pymars) (π₯ 14K / month Β· π¦ 2 Β· β±οΈ 12.06.2022):
+- [PyPi](https://pypi.org/project/pymars) (π₯ 25K / month Β· π¦ 2 Β· β±οΈ 12.06.2022):
```
pip install pymars
```
BioPandas (π₯24 Β· β 710) - Working with molecular structures in pandas DataFrames. BSD-3
+BioPandas (π₯23 Β· β 710) - Working with molecular structures in pandas DataFrames. BSD-3
- [GitHub](https://github.com/BioPandas/biopandas) (π¨βπ» 18 Β· π 120 Β· π¦ 290 Β· π 59 - 35% open Β· β±οΈ 01.08.2024):
```
git clone https://github.com/rasbt/biopandas
```
-- [PyPi](https://pypi.org/project/biopandas) (π₯ 16K / month Β· π¦ 38 Β· β±οΈ 01.08.2024):
+- [PyPi](https://pypi.org/project/biopandas) (π₯ 12K / month Β· π¦ 38 Β· β±οΈ 01.08.2024):
```
pip install biopandas
```
@@ -8063,12 +8089,12 @@ _Libraries for connecting to, operating, and querying databases._
MONAILabel (π₯23 Β· β 600) - MONAI Label is an intelligent open source image labeling and.. Apache-2
-- [GitHub](https://github.com/Project-MONAI/MONAILabel) (π¨βπ» 61 Β· π 190 Β· π₯ 94K Β· π 530 - 24% open Β· β±οΈ 27.09.2024):
+- [GitHub](https://github.com/Project-MONAI/MONAILabel) (π¨βπ» 61 Β· π 190 Β· π₯ 95K Β· π 530 - 24% open Β· β±οΈ 27.09.2024):
```
git clone https://github.com/Project-MONAI/MONAILabel
```
-- [PyPi](https://pypi.org/project/monailabel-weekly) (π₯ 1.4K / month Β· β±οΈ 01.10.2023):
+- [PyPi](https://pypi.org/project/monailabel-weekly) (π₯ 2.4K / month Β· β±οΈ 01.10.2023):
```
pip install monailabel-weekly
```
@@ -8080,23 +8106,23 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/astroML/astroML
```
-- [PyPi](https://pypi.org/project/astroML) (π₯ 1.7K / month Β· π¦ 16 Β· β±οΈ 01.03.2022):
+- [PyPi](https://pypi.org/project/astroML) (π₯ 2.3K / month Β· π¦ 16 Β· β±οΈ 01.03.2022):
```
pip install astroML
```
-- [Conda](https://anaconda.org/conda-forge/astroml) (π₯ 47K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/astroml) (π₯ 48K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge astroml
```
pykale (π₯21 Β· β 440) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT
-- [GitHub](https://github.com/pykale/pykale) (π¨βπ» 25 Β· π 63 Β· π¦ 3 Β· π 120 - 8% open Β· β±οΈ 24.09.2024):
+- [GitHub](https://github.com/pykale/pykale) (π¨βπ» 25 Β· π 64 Β· π¦ 4 Β· π 120 - 8% open Β· β±οΈ 24.09.2024):
```
git clone https://github.com/pykale/pykale
```
-- [PyPi](https://pypi.org/project/pykale) (π₯ 300 / month Β· β±οΈ 12.04.2022):
+- [PyPi](https://pypi.org/project/pykale) (π₯ 530 / month Β· β±οΈ 12.04.2022):
```
pip install pykale
```
@@ -8108,56 +8134,56 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/yzhao062/SUOD
```
-- [PyPi](https://pypi.org/project/suod) (π₯ 9.9K / month Β· π¦ 8 Β· β±οΈ 08.02.2024):
+- [PyPi](https://pypi.org/project/suod) (π₯ 9.4K / month Β· π¦ 8 Β· β±οΈ 08.02.2024):
```
pip install suod
```
benchmark_VAE (π₯20 Β· β 1.8K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2
-- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (π¨βπ» 18 Β· π 160 Β· π¦ 31 Β· π 65 - 36% open Β· β±οΈ 17.07.2024):
+- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (π¨βπ» 18 Β· π 160 Β· π¦ 33 Β· π 65 - 36% open Β· β±οΈ 17.07.2024):
```
git clone https://github.com/clementchadebec/benchmark_VAE
```
-- [PyPi](https://pypi.org/project/pythae) (π₯ 2.4K / month Β· β±οΈ 06.09.2023):
+- [PyPi](https://pypi.org/project/pythae) (π₯ 2.2K / month Β· β±οΈ 06.09.2023):
```
pip install pythae
```
pymdp (π₯19 Β· β 450) - A Python implementation of active inference for Markov Decision Processes. MIT
+pymdp (π₯18 Β· β 450) - A Python implementation of active inference for Markov Decision Processes. MIT
-- [GitHub](https://github.com/infer-actively/pymdp) (π¨βπ» 18 Β· π 84 Β· π¦ 12 Β· π 42 - 35% open Β· β±οΈ 16.07.2024):
+- [GitHub](https://github.com/infer-actively/pymdp) (π¨βπ» 18 Β· π 84 Β· π¦ 13 Β· π 42 - 35% open Β· β±οΈ 16.07.2024):
```
git clone https://github.com/infer-actively/pymdp
```
-- [PyPi](https://pypi.org/project/inferactively-pymdp) (π₯ 440 / month Β· β±οΈ 08.12.2022):
+- [PyPi](https://pypi.org/project/inferactively-pymdp) (π₯ 770 / month Β· β±οΈ 08.12.2022):
```
pip install inferactively-pymdp
```
NeuralCompression (π₯16 Β· β 500) - A collection of tools for neural compression enthusiasts. MIT
-- [GitHub](https://github.com/facebookresearch/NeuralCompression) (π¨βπ» 10 Β· π 43 Β· π 71 - 8% open Β· β±οΈ 20.09.2024):
+- [GitHub](https://github.com/facebookresearch/NeuralCompression) (π¨βπ» 10 Β· π 44 Β· π 71 - 8% open Β· β±οΈ 20.09.2024):
```
git clone https://github.com/facebookresearch/NeuralCompression
```
-- [PyPi](https://pypi.org/project/neuralcompression) (π₯ 190 / month Β· β±οΈ 03.10.2023):
+- [PyPi](https://pypi.org/project/neuralcompression) (π₯ 320 / month Β· β±οΈ 03.10.2023):
```
pip install neuralcompression
```
Show 25 hidden projects...
-- cleanlab (π₯32 Β· β 9.4K) - The standard data-centric AI package for data quality and machine.. βοΈAGPL-3.0
+- cleanlab (π₯31 Β· β 9.6K Β· π) - The standard data-centric AI package for data quality and.. βοΈAGPL-3.0
- Cython BLIS (π₯31 Β· β 220) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3
- alibi-detect (π₯28 Β· β 2.2K) - Algorithms for outlier, adversarial and drift detection. βοΈIntel
+- modAL (π₯28 Β· β 2.2K Β· π) - A modular active learning framework for Python. MIT βοΈCC-BY-3.0
- PySwarms (π₯28 Β· β 1.3K Β· π) - A research toolkit for particle swarm optimization in Python. MIT
- pysc2 (π₯27 Β· β 8K Β· π) - StarCraft II Learning Environment. Apache-2
-- modAL (π₯27 Β· β 2.2K Β· π) - A modular active learning framework for Python. MIT BSD-3 MIT
- metricflow (π₯26 Β· β 1.1K) - MetricFlow allows you to define, build, and maintain metrics.. βUnlicensed
@@ -8165,7 +8191,7 @@ _Libraries for connecting to, operating, and querying databases._
- vecstack (π₯23 Β· β 680 Β· π) - Python package for stacking (machine learning technique). MIT
- pandas-ai (π₯22 Β· β 13K) - Chat with your database (SQL, CSV, pandas, polars, mongodb,.. βUnlicensed
- opyrator (π₯22 Β· β 3.1K Β· π) - Turns your machine learning code into microservices with web API,.. MIT
-- mlens (π₯22 Β· β 840 Β· π) - ML-Ensemble high performance ensemble learning. MIT
+- mlens (π₯22 Β· β 850 Β· π) - ML-Ensemble high performance ensemble learning. MIT
- apricot (π₯21 Β· β 500 Β· π) - apricot implements submodular optimization for the purpose of.. MIT
- impyute (π₯21 Β· β 350 Β· π) - Data imputations library to preprocess datasets with missing data. MIT
- StreamAlert (π₯20 Β· β 2.9K Β· π) - StreamAlert is a serverless, realtime data analysis.. Apache-2
@@ -8174,8 +8200,8 @@ _Libraries for connecting to, operating, and querying databases._
- baikal (π₯18 Β· β 590 Β· π) - A graph-based functional API for building complex scikit-learn.. BSD-3
- KD-Lib (π₯16 Β· β 600 Β· π) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT BSD-3 MIT
- traingenerator (π₯13 Β· β 1.4K Β· π) - A web app to generate template code for machine learning. MIT
-- nylon (π₯12 Β· β 83 Β· π) - An intelligent, flexible grammar of machine learning. MIT
BSD-3 Apache-2
+- pygraphistry (π₯32 Β· β 2.1K Β· π) - PyGraphistry is a Python library to quickly load,.. BSD-3 MIT BSD-3 βUnlicensed
+- scikit-posthocs (π₯26 Β· β 340 Β· π) - Multiple Pairwise Comparisons (Post Hoc) Tests in.. MIT Apache-2 βοΈGPL-3.0
+- DeepNeuro (π₯15 Β· β 120 Β· π) - A deep learning python package for neuroimaging data. Made by:. MIT
+
+## π 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._
+
+- PaddlePaddle (π₯45 Β· β 22K Β· π) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 Apache-2 MIT o t h e r s
+- sentence-transformers (π₯40 Β· β 15K Β· π) - State-of-the-Art Text Embeddings. Apache-2 BSD-3
+- PyCaret (π₯36 Β· β 8.9K Β· π) - An open-source, low-code machine learning library in Python. MIT
+- horovod (π₯35 Β· β 14K Β· π) - Distributed training framework for TensorFlow, Keras, PyTorch,.. Apache-2
+- PyOD (π₯35 Β· β 8.5K Β· π) - A Python Library for Outlier and Anomaly Detection, Integrating.. BSD-2
+- imbalanced-learn (π₯33 Β· β 6.8K Β· π) - A Python Package to Tackle the Curse of Imbalanced.. MIT βοΈAGPL-3.0
+
diff --git a/history/2024-10-10_projects.csv b/history/2024-10-10_projects.csv
new file mode 100644
index 0000000..645de0d
--- /dev/null
+++ b/history/2024-10-10_projects.csv
@@ -0,0 +1,920 @@
+,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,docs_url,labels,github_release_downloads,monthly_downloads,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,projectrank_placing,dockerhub_id,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,updated_github_id,trending,helm_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 13:21:43.000,2024-09-02 06:22:28.000000,2024-09-02 06:22:28,1567.0,5.0,736.0,118.0,338.0,71.0,145.0,4892.0,Benchmarks of approximate nearest neighbor libraries in Python.,107.0,0,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 13:09:27.000,2024-06-07 15:14:35.000000,2024-06-06 19:06:33,346.0,,168.0,58.0,205.0,,3.0,2298.0,Collection of web-scraping and crawling libraries.,16.0,0,True,2024-06-06 19:06:38.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+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 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,1.0,257.0,93.0,199.0,7.0,6.0,3643.0,Collection of data-loading and -extraction libraries.,12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+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 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,1.0,257.0,93.0,199.0,7.0,6.0,3643.0,Collection of database clients for python.,12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+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 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,1.0,257.0,93.0,199.0,7.0,6.0,3643.0,"Collection of data-container, dataframe, and pandas-utility libraries.",12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+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 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,1.0,257.0,93.0,199.0,7.0,6.0,3643.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+6,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2024-10-10 14:13:33.000000,2024-10-10 13:20:40,79348.0,3876.0,22322.0,1739.0,91763.0,15065.0,31576.0,82822.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,5164.0,56,True,2024-09-04 19:59:29.000,2.4.1,55.0,torch,pytorch/pytorch,https://pytorch.org/docs/stable/index.html,['pytorch'],60032.0,35139785.0,560298.0,541202.0,https://pypi.org/project/torch,2024-09-04 19:10:42.000,19096.0,34493064.0,https://anaconda.org/pytorch/pytorch,2024-09-03 16:47:49.313,23905843.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+7,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2024-10-10 14:11:55.000000,2024-10-10 13:39:35,170650.0,3684.0,74242.0,7593.0,37057.0,5153.0,38310.0,188469.0,An Open Source Machine Learning Framework for Everyone.,4690.0,55,True,2024-07-11 16:45:52.000,2.17.0,199.0,tensorflow,conda-forge/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],,18563185.0,424398.0,416437.0,https://pypi.org/project/tensorflow,2024-10-07 23:18:07.000,7961.0,17733716.0,https://anaconda.org/conda-forge/tensorflow,2024-08-31 23:00:17.783,4998578.0,1.0,tensorflow/tensorflow,https://hub.docker.com/r/tensorflow/tensorflow,2024-10-10 12:48:38.900859,2570.0,78266028.0,,,,,,,,,,,,,,,,,,,
+8,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2024-10-10 14:14:25.000000,2024-10-10 13:28:00,17129.0,796.0,26586.0,1118.0,17727.0,1416.0,14882.0,133172.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",2872.0,52,True,2024-10-07 17:42:52.000,4.45.2,160.0,transformers,conda-forge/transformers,,"['pytorch', 'tensorflow']",,37770282.0,231384.0,225011.0,https://pypi.org/project/transformers,2024-10-07 17:42:51.000,6373.0,37729029.0,https://anaconda.org/conda-forge/transformers,2024-10-07 23:40:09.014,2103949.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+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 09:43:38.000,2024-10-10 13:45:26.000000,2024-10-10 13:45:26,31766.0,256.0,25320.0,2140.0,17850.0,2125.0,9611.0,59716.0,scikit-learn: machine learning in Python.,3193.0,52,True,2024-09-11 15:52:05.000,1.5.2,81.0,scikit-learn,conda-forge/scikit-learn,,['sklearn'],1027.0,79875309.0,936056.0,911371.0,https://pypi.org/project/scikit-learn,2024-09-11 15:49:19.000,24685.0,79283072.0,https://anaconda.org/conda-forge/scikit-learn,2024-09-11 20:00:28.266,31388034.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+10,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2024-10-10 09:10:45.000000,2024-10-10 09:10:45,33600.0,633.0,5160.0,348.0,11341.0,1745.0,8857.0,12970.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1695.0,50,True,2024-08-21 00:10:50.000,1.14.1,108.0,scipy,conda-forge/scipy,,,416800.0,139476345.0,1157675.0,1111799.0,https://pypi.org/project/scipy,2024-08-21 00:03:32.000,45876.0,138342995.0,https://anaconda.org/conda-forge/scipy,2024-09-09 09:00:52.252,53091055.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+11,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2024-10-09 14:04:04.000000,2024-10-09 14:04:03,58999.0,656.0,4407.0,291.0,13440.0,5133.0,8872.0,12863.0,A computer algebra system written in pure Python.,1330.0,49,True,2024-09-18 21:54:45.000,1.13.3,64.0,sympy,conda-forge/sympy,,,548931.0,30289903.0,180463.0,176963.0,https://pypi.org/project/sympy,2024-09-18 21:54:23.000,3500.0,30285837.0,https://anaconda.org/conda-forge/sympy,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+12,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2024-10-08 13:47:26.000000,2024-10-08 13:47:26,11028.0,212.0,19438.0,1911.0,7477.0,254.0,11902.0,61851.0,Deep Learning for humans.,1333.0,48,True,2024-10-03 19:44:54.000,3.6.0,103.0,keras,conda-forge/keras,https://keras.io,['tensorflow'],,13888197.0,1582.0,,https://pypi.org/project/keras,2024-10-03 19:44:54.000,1582.0,13816386.0,https://anaconda.org/conda-forge/keras,2024-10-07 20:46:42.672,3734201.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+13,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,,2011-02-19 03:17:12.000,2024-10-10 08:07:45.000000,2024-10-10 08:07:44,51166.0,461.0,7597.0,595.0,18419.0,1597.0,9310.0,20089.0,matplotlib: plotting with Python.,1731.0,48,True,2024-08-13 01:44:21.000,3.9.2,127.0,matplotlib,conda-forge/matplotlib,,,,85153105.0,1414573.0,1364833.0,https://pypi.org/project/matplotlib,2024-08-13 01:44:21.000,49740.0,84648814.0,https://anaconda.org/conda-forge/matplotlib,2024-09-12 20:10:05.995,26223156.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+14,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2024-10-10 11:51:07.000000,2024-10-10 11:50:26,18686.0,533.0,2210.0,219.0,5109.0,134.0,3082.0,12162.0,Python Imaging Library (Fork).,479.0,48,True,2024-07-01 09:51:39.000,10.4.0,98.0,Pillow,conda-forge/pillow,,,,131147947.0,1865979.0,1858297.0,https://pypi.org/project/Pillow,2024-07-01 09:45:22.000,7682.0,130266038.0,https://anaconda.org/conda-forge/pillow,2024-09-11 18:35:06.338,44977385.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+15,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2024-10-10 08:06:30.000000,2024-10-10 08:05:47,6708.0,239.0,3030.0,318.0,4957.0,963.0,3646.0,35028.0,Streamlit A faster way to build and share data apps.,242.0,46,True,2024-10-01 17:36:45.000,1.39.0,228.0,streamlit,,,,,7212499.0,541479.0,538732.0,https://pypi.org/project/streamlit,2024-10-01 17:36:39.000,2747.0,7212499.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+16,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2024-10-09 10:21:36.000000,2024-10-09 10:21:36,7126.0,164.0,8711.0,909.0,5581.0,451.0,4898.0,26176.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",652.0,46,True,2024-07-31 08:14:26.000,2.1.1,83.0,xgboost,conda-forge/xgboost,https://xgboost.readthedocs.io/en/latest/,,11179.0,27159364.0,112788.0,110786.0,https://pypi.org/project/xgboost,2024-07-31 08:14:26.000,2002.0,27055001.0,https://anaconda.org/conda-forge/xgboost,2024-09-29 19:48:48.053,5318030.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+17,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2024-10-10 10:11:48.000000,2024-10-10 10:11:47,22756.0,612.0,5647.0,475.0,29159.0,4079.0,14974.0,33364.0,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a..,1078.0,45,True,2024-09-24 23:37:52.000,ray-2.37.0,117.0,ray,conda-forge/ray-tune,,,240.0,6091824.0,19006.0,18238.0,https://pypi.org/project/ray,2024-09-24 23:30:46.000,768.0,6082633.0,https://anaconda.org/conda-forge/ray-tune,2024-10-01 08:55:53.218,422718.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+18,jax,google/jax,ml-frameworks,,https://github.com/jax-ml/jax,https://github.com/jax-ml/jax,Apache-2.0,2018-10-25 21:25:02.000,2024-10-10 14:20:48.000000,2024-10-10 14:07:08,23501.0,1655.0,2755.0,335.0,15783.0,1386.0,4216.0,30160.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",762.0,45,True,2024-10-04 14:51:10.000,jax-v0.4.34,168.0,jax,conda-forge/jaxlib,,,,4047497.0,32818.0,30950.0,https://pypi.org/project/jax,2024-10-04 14:37:10.000,1868.0,4014236.0,https://anaconda.org/conda-forge/jaxlib,2024-10-02 23:05:15.613,1729586.0,1.0,,,,,,jax-ml/jax,,,,,,,,,,,,,,,,,,
+19,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2024-10-01 23:10:18.000000,2024-10-01 23:01:40,16203.0,69.0,4363.0,562.0,4022.0,144.0,5519.0,29815.0,Industrial-strength Natural Language Processing (NLP) in Python.,758.0,45,True,2024-10-01 18:20:24.000,3.8.2,237.0,spacy,conda-forge/spacy,,,202.0,12979891.0,103784.0,101095.0,https://pypi.org/project/spacy,2024-10-01 18:20:24.000,2689.0,12898819.0,https://anaconda.org/conda-forge/spacy,2024-09-22 12:43:59.353,4215685.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+20,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2024-10-10 13:55:32.000000,2024-10-10 13:55:32,51177.0,1685.0,5554.0,717.0,50059.0,1710.0,17377.0,22134.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1285.0,45,True,2024-09-13 08:31:46.000,2.6.2,70.0,paddlepaddle,,,['paddle'],15406.0,378235.0,6205.0,6027.0,https://pypi.org/project/paddlepaddle,2024-09-13 08:31:46.000,178.0,378078.0,,,,1.0,,,,,,,-1.0,,,,,,,,,,,,,,,,,
+21,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2024-10-10 10:07:21.000000,2024-10-02 20:21:43,20613.0,63.0,4178.0,442.0,6174.0,760.0,6983.0,19277.0,"Interactive Data Visualization in the browser, from Python.",702.0,45,True,2024-09-26 16:27:00.000,3.6.0,218.0,bokeh,conda-forge/bokeh,,,,4790390.0,94942.0,93198.0,https://pypi.org/project/bokeh,2024-09-26 16:55:03.000,1744.0,4500789.0,https://anaconda.org/conda-forge/bokeh,2024-09-26 20:39:59.050,15059255.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+22,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2024-09-25 08:35:09.000000,2024-09-25 08:35:04,14681.0,90.0,2876.0,462.0,1492.0,275.0,1556.0,13502.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,461.0,45,True,2024-08-18 19:48:21.000,3.9.1,63.0,nltk,conda-forge/nltk,,,,22368052.0,316047.0,311350.0,https://pypi.org/project/nltk,2024-08-18 19:48:21.000,4697.0,22302848.0,https://anaconda.org/conda-forge/nltk,2024-08-18 23:14:52.073,2803782.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+23,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2024-10-08 16:07:02.000000,2024-10-08 16:07:02,15497.0,65.0,2875.0,282.0,3934.0,2833.0,2791.0,10044.0,Statsmodels: statistical modeling and econometrics in Python.,436.0,45,True,2024-10-03 16:13:31.000,0.14.4,39.0,statsmodels,conda-forge/statsmodels,,,34.0,17285134.0,142764.0,138295.0,https://pypi.org/project/statsmodels,2024-10-03 16:13:31.000,4469.0,16992710.0,https://anaconda.org/conda-forge/statsmodels,2024-10-03 20:40:26.151,15206077.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+24,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2024-10-10 12:55:42.000000,2024-10-10 12:55:34,42402.0,830.0,28233.0,2023.0,48381.0,220.0,,39459.0,Apache Spark Python API.,3129.0,44,True,2024-09-24 00:28:04.000,3.5.3,48.0,pyspark,conda-forge/pyspark,,['spark'],,30548243.0,1545.0,,https://pypi.org/project/pyspark,2024-09-27 14:56:40.000,1545.0,30481728.0,https://anaconda.org/conda-forge/pyspark,2024-03-03 13:07:40.821,3458787.0,2.0,,,,,,,-1.0,stable/spark,,,,,,,,,,,,,,,,
+25,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2024-10-10 15:17:05.000000,2024-10-10 02:44:37,7076.0,268.0,2454.0,172.0,4441.0,551.0,4270.0,32674.0,"Wrap UIs around any model, share with anyone.",412.0,44,True,2024-10-09 22:17:27.000,5.0.1,598.0,gradio,,,,,6447500.0,43682.0,42885.0,https://pypi.org/project/gradio,2024-10-09 22:17:27.000,797.0,6447500.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+26,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 00:45:57.000,2024-10-08 23:30:44.000000,2024-10-08 23:30:44,10428.0,60.0,3367.0,251.0,10282.0,782.0,6306.0,28143.0,"Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.",974.0,44,True,2024-08-07 09:46:38.000,2.4.0,277.0,pytorch-lightning,conda-forge/pytorch-lightning,,['pytorch'],9170.0,6939568.0,38697.0,37254.0,https://pypi.org/project/pytorch-lightning,2024-08-07 09:46:38.000,1443.0,6914361.0,https://anaconda.org/conda-forge/pytorch-lightning,2024-08-07 15:45:27.965,1298859.0,2.0,,,,,,Lightning-AI/pytorch-lightning,,,,,,,,,,,,,,,,,,
+27,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2024-10-09 21:55:56.000000,2024-10-04 20:25:37,6690.0,145.0,2533.0,275.0,1711.0,527.0,2443.0,16105.0,The interactive graphing library for Python This project now includes Plotly Express!.,271.0,44,True,2024-09-12 15:42:27.000,5.24.1,301.0,plotly,conda-forge/plotly,,,,20552687.0,317340.0,311011.0,https://pypi.org/project/plotly,2024-09-12 15:36:24.000,6320.0,20411626.0,https://anaconda.org/conda-forge/plotly,2024-09-12 22:24:43.567,7146559.0,1.0,,,,,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,9.0,6221.0,,,,,,,,,,,
+28,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2024-10-10 12:20:11.000000,2024-10-10 12:20:11,8326.0,88.0,1699.0,213.0,5970.0,1107.0,4258.0,12473.0,Parallel computing with task scheduling.,610.0,44,True,2024-09-28 00:59:40.000,2024.9.1,208.0,dask,conda-forge/dask,,,,13177068.0,67733.0,65335.0,https://pypi.org/project/dask,2024-09-28 00:59:40.000,2398.0,12950525.0,https://anaconda.org/conda-forge/dask,2024-09-28 03:30:27.336,12006782.0,1.0,,,,,,,,stable/dask,,,,,,,,,,,,,,,,
+29,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2024-10-09 16:12:05.000000,2024-10-09 16:03:01,2770.0,62.0,3262.0,241.0,971.0,750.0,1788.0,22652.0,A game theoretic approach to explain the output of any machine learning model.,251.0,43,True,2024-06-27 10:16:34.000,0.46.0,104.0,shap,conda-forge/shap,,,,6849791.0,21555.0,20807.0,https://pypi.org/project/shap,2024-06-27 10:16:34.000,748.0,6762397.0,https://anaconda.org/conda-forge/shap,2024-05-08 21:55:59.406,4020124.0,1.0,,,,,,shap/shap,,,,,,,,,,,,,,,,,,
+30,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2024-10-09 14:21:12.000000,2024-10-09 13:33:21,7690.0,117.0,2054.0,421.0,1132.0,481.0,1353.0,21301.0,Data Apps & Dashboards for Python. No JavaScript Required.,165.0,43,True,2024-09-12 16:11:13.000,2.18.1,181.0,dash,conda-forge/dash,,,78.0,3466862.0,71294.0,70011.0,https://pypi.org/project/dash,2024-09-12 16:08:23.000,1283.0,3437938.0,https://anaconda.org/conda-forge/dash,2024-09-14 04:47:51.793,1504017.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+31,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2024-10-10 07:52:26.000000,2024-10-10 03:24:22,6573.0,350.0,4180.0,297.0,9199.0,1607.0,2586.0,18471.0,Open source platform for the machine learning lifecycle.,775.0,43,True,2024-09-27 04:49:37.000,2.17.0rc0,114.0,mlflow,conda-forge/mlflow,,,,15174967.0,44453.0,43578.0,https://pypi.org/project/mlflow,2024-09-27 00:54:05.000,875.0,15129277.0,https://anaconda.org/conda-forge/mlflow,2024-09-17 10:26:09.229,2375907.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+32,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2024-10-10 14:40:25.000000,2024-10-10 09:01:50,2853.0,89.0,3658.0,438.0,3390.0,347.0,2518.0,17746.0,Open standard for machine learning interoperability.,325.0,43,True,2024-10-01 21:45:45.000,1.17.0,35.0,onnx,conda-forge/onnx,,,21988.0,5554717.0,35289.0,34236.0,https://pypi.org/project/onnx,2024-10-01 21:45:45.000,1053.0,5530140.0,https://anaconda.org/conda-forge/onnx,2024-10-05 10:56:04.588,1264466.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+33,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2024-10-10 08:17:38.424000,2024-10-09 23:46:26,3576.0,57.0,3819.0,433.0,3260.0,367.0,3064.0,16571.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",318.0,43,True,2024-07-26 14:38:57.000,4.5.0,38.0,lightgbm,conda-forge/lightgbm,,,236846.0,9761774.0,39377.0,38300.0,https://pypi.org/project/lightgbm,2024-07-26 14:38:57.000,1077.0,9703196.0,https://anaconda.org/conda-forge/lightgbm,2024-10-10 08:17:38.424,2741444.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+34,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2024-10-10 01:41:45.000000,2024-10-10 01:41:45,7796.0,51.0,3221.0,279.0,3886.0,342.0,3028.0,14821.0,Network Analysis in Python.,750.0,43,True,2024-04-06 13:09:07.000,networkx-3.3,95.0,networkx,conda-forge/networkx,,,76.0,80981276.0,310422.0,300909.0,https://pypi.org/project/networkx,2024-10-06 17:29:58.000,9513.0,80621684.0,https://anaconda.org/conda-forge/networkx,2024-04-08 01:42:36.044,17979629.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+35,triton,openai/triton,model-serialisation,,https://github.com/triton-lang/triton,https://github.com/triton-lang/triton,MIT,2014-08-30 17:07:16.000,2024-10-10 15:19:29.000000,2024-10-10 06:46:25,2772.0,311.0,1582.0,193.0,3297.0,653.0,787.0,12976.0,Development repository for the Triton language and compiler.,329.0,43,True,2024-07-09 07:22:23.000,3.0.0,195.0,triton,,,,,14959145.0,39159.0,38910.0,https://pypi.org/project/triton,2024-07-09 07:22:23.000,249.0,14959145.0,,,,1.0,,,,,,triton-lang/triton,,,,,,,,,,,,,,,,,,
+36,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2024-10-10 13:23:10.000000,2024-10-04 05:16:35,5005.0,69.0,2083.0,1673.0,4870.0,343.0,2727.0,12165.0,WebGL2 powered visualization framework.,273.0,43,True,2024-10-08 18:05:20.283,9.0.33,673.0,pydeck,conda-forge/pydeck,,['jupyter'],,6129680.0,8554.0,8135.0,https://pypi.org/project/pydeck,2024-05-10 15:36:17.000,120.0,5534362.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,620702.0,1.0,,,,,,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2024-10-08 18:05:20.283,299.0,584235.0,,,,,,,,,,,
+37,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000,2024-10-08 04:19:19.000000,2024-10-08 04:19:18,18279.0,249.0,1009.0,117.0,3659.0,70.0,1605.0,10685.0,A hyperparameter optimization framework.,272.0,43,True,2024-09-02 05:17:47.000,4.0.0,66.0,optuna,conda-forge/optuna,,,,3596886.0,19072.0,18074.0,https://pypi.org/project/optuna,2024-09-02 05:17:47.000,998.0,3564028.0,https://anaconda.org/conda-forge/optuna,2024-09-03 06:05:16.374,1708642.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+38,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2024-10-09 15:49:58.000000,2024-10-09 15:49:58,14150.0,110.0,2224.0,186.0,4510.0,809.0,2107.0,6060.0,Image processing in Python.,672.0,43,False,2024-06-18 19:05:37.000,0.24.0,69.0,scikit-image,conda-forge/scikit-image,,,,28482247.0,204803.0,198501.0,https://pypi.org/project/scikit-image,2024-10-07 07:58:05.000,6302.0,28348318.0,https://anaconda.org/conda-forge/scikit-image,2024-08-17 02:34:14.270,6964351.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+39,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 05:51:12.000,2024-10-09 21:12:27.000000,2024-10-09 17:25:32,2480.0,119.0,4714.0,311.0,519.0,49.0,866.0,31759.0,"The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and..",150.0,42,True,2024-08-23 23:42:07.000,1.0.9,60.0,timm,conda-forge/timm,,['pytorch'],7087305.0,6225650.0,38776.0,37847.0,https://pypi.org/project/timm,2024-08-23 23:31:27.000,929.0,6111862.0,https://anaconda.org/conda-forge/timm,2024-08-24 14:28:50.700,242434.0,1.0,,,,,,huggingface/pytorch-image-models,,,,,,,,,,,,,,,,,,
+40,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2024-10-10 11:34:44.000000,2024-10-03 10:30:16,3943.0,55.0,6934.0,432.0,5408.0,1024.0,2443.0,16081.0,"Datasets, Transforms and Models specific to Computer Vision.",607.0,42,True,2024-09-04 20:08:34.000,0.19.1,47.0,torchvision,conda-forge/torchvision,,['pytorch'],38863.0,14251122.0,5654.0,21.0,https://pypi.org/project/torchvision,2024-09-04 19:14:53.000,5633.0,14211875.0,https://anaconda.org/conda-forge/torchvision,2024-10-07 12:02:14.673,1669110.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+41,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2024-10-08 12:20:39.000000,2024-10-08 12:20:36,9341.0,50.0,1177.0,137.0,5520.0,231.0,4470.0,13687.0,ML Experiments and Data Management with Git.,304.0,42,True,2024-09-02 15:02:10.000,3.55.2,538.0,dvc,conda-forge/dvc,,,,662605.0,18368.0,18242.0,https://pypi.org/project/dvc,2024-09-02 15:02:10.000,126.0,619019.0,https://anaconda.org/conda-forge/dvc,2024-09-02 18:55:30.141,2266519.0,1.0,,,,,,,,,,,,,,dvc,dvc,dvc,,,,,,,,
+42,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2024-10-10 14:08:50.000000,2024-10-10 14:05:48,18025.0,3419.0,1482.0,70.0,2728.0,619.0,2756.0,12766.0,"Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI,..",345.0,42,True,2024-10-10 14:08:50.000,1.49.0.de8,978.0,litellm,,,others,418.0,2314255.0,4169.0,3717.0,https://pypi.org/project/litellm,2024-10-09 10:56:33.000,452.0,2314046.0,,,,1.0,,,,,,,-1.0,,,,,,,,,,,,,,,,,
+43,Altair,altair-viz/altair,data-viz,,https://github.com/vega/altair,https://github.com/vega/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2024-10-08 21:31:52.000000,2024-10-06 17:06:42,3785.0,97.0,791.0,140.0,1491.0,198.0,1814.0,9257.0,Declarative statistical visualization library for Python.,172.0,42,True,2024-08-27 04:41:23.000,5.4.1,42.0,altair,conda-forge/altair,,,193.0,23138370.0,167506.0,166632.0,https://pypi.org/project/altair,2024-08-27 04:31:06.000,874.0,23066336.0,https://anaconda.org/conda-forge/altair,2024-10-02 18:03:41.017,2449101.0,1.0,,,,,,vega/altair,,,,,,,,,,,,,,,,,,
+44,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2024-10-10 09:17:14.000000,2024-10-10 01:37:15,7113.0,419.0,665.0,60.0,5248.0,876.0,2461.0,8982.0,"The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation..",194.0,42,True,2024-10-01 23:28:58.000,0.18.3,289.0,wandb,conda-forge/wandb,,,328.0,19105729.0,56670.0,55248.0,https://pypi.org/project/wandb,2024-10-01 23:27:12.000,1422.0,19092825.0,https://anaconda.org/conda-forge/wandb,2024-10-08 19:48:22.115,657753.0,1.0,,,,,,wandb/wandb,,,,,,,,,,,,,,,,,,
+45,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2024-10-10 13:34:53.000000,2024-10-10 13:34:48,48668.0,423.0,1176.0,190.0,397.0,553.0,1778.0,8037.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1277.0,42,True,2024-09-07 20:11:05.000,1.2.7,113.0,catboost,conda-forge/catboost,,,311780.0,3404646.0,550.0,15.0,https://pypi.org/project/catboost,2024-09-07 16:51:57.000,535.0,3364281.0,https://anaconda.org/conda-forge/catboost,2024-09-07 21:05:39.027,1724770.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+46,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2024-10-08 00:39:40.000000,2024-10-08 00:39:40,5865.0,24.0,1655.0,189.0,5043.0,682.0,1240.0,6690.0,TensorFlows Visualization Toolkit.,321.0,42,True,2024-09-25 21:21:50.000,2.18.0,63.0,tensorboard,conda-forge/tensorboard,,['tensorflow'],,21690922.0,266330.0,264104.0,https://pypi.org/project/tensorboard,2024-09-25 21:21:50.000,2226.0,21593805.0,https://anaconda.org/conda-forge/tensorboard,2024-09-27 11:17:28.293,5050093.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+47,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2024-10-10 11:49:12.000000,2024-10-10 11:48:04,6302.0,80.0,7723.0,442.0,3090.0,171.0,9154.0,43115.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",255.0,41,True,2024-07-17 10:49:23.000,2.8.1,46.0,paddleocr,,,['paddle'],422488.0,451287.0,3518.0,3415.0,https://pypi.org/project/paddleocr,2024-07-17 10:49:23.000,103.0,442665.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+48,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2024-10-10 13:25:06.000000,2024-10-10 02:59:26,2510.0,144.0,4060.0,343.0,2975.0,1110.0,1771.0,35034.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",344.0,41,True,2024-10-09 17:47:57.000,0.15.2,96.0,deepspeed,,,['pytorch'],,508278.0,9242.0,9033.0,https://pypi.org/project/deepspeed,2024-10-09 17:47:57.000,209.0,507950.0,,,,1.0,deepspeed/deepspeed,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,18748.0,,,,,,,,,,,,,,,,,,,
+49,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2024-10-09 16:31:16.000000,2024-10-09 15:26:22,1264.0,113.0,3572.0,480.0,1209.0,240.0,2277.0,30842.0,A library for efficient similarity search and clustering of dense vectors.,192.0,41,True,2024-10-04 21:33:29.000,1.9.0,101.0,pymilvus,conda-forge/faiss,,,,1066092.0,4209.0,4042.0,https://pypi.org/project/pymilvus,2024-09-25 11:24:52.000,167.0,1033025.0,https://anaconda.org/conda-forge/faiss,2024-08-09 18:17:48.122,1719496.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+50,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2024-10-10 12:36:09.000000,2024-10-10 12:33:21,20879.0,606.0,2840.0,277.0,22539.0,755.0,11194.0,29900.0,"A cloud-native vector database, storage for next generation AI applications.",290.0,41,True,2024-10-08 07:25:52.000,2.3.22,101.0,pymilvus,,,,269542.0,2132591.0,167.0,,https://pypi.org/project/pymilvus,2024-09-25 11:24:52.000,167.0,1033025.0,,,,1.0,milvusdb/milvus,https://hub.docker.com/r/milvusdb/milvus,2024-10-08 06:17:07.407533,63.0,66799516.0,,,,,,,,,,,,,,,,,,,
+51,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2024-10-07 20:30:03.000000,2024-10-07 18:50:24,1319.0,80.0,2325.0,242.0,604.0,185.0,1185.0,13209.0,Download market data from Yahoo! Finances API.,123.0,41,True,2024-09-30 19:02:33.000,0.2.44,116.0,yfinance,ranaroussi/yfinance,,,,2340478.0,48728.0,48071.0,https://pypi.org/project/yfinance,2024-09-30 19:02:33.000,657.0,2338023.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,95760.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+52,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2024-08-14 20:01:50.000000,2024-07-22 11:32:48,3237.0,1.0,1904.0,263.0,1122.0,176.0,2407.0,12462.0,Statistical data visualization in Python.,213.0,41,True,2024-01-25 13:21:49.000,0.13.2,37.0,seaborn,conda-forge/seaborn,,,444.0,19450628.0,494224.0,483381.0,https://pypi.org/project/seaborn,2024-01-25 13:21:49.000,10843.0,19251248.0,https://anaconda.org/conda-forge/seaborn,2024-04-30 16:33:12.611,10367651.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+53,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2024-10-10 13:03:08.000000,2024-10-10 13:03:08,10089.0,93.0,1999.0,224.0,4070.0,311.0,3065.0,8672.0,Bayesian Modeling and Probabilistic Programming in Python.,505.0,41,True,2024-10-03 09:11:52.000,5.17.0,90.0,pymc3,conda-forge/pymc3,,,1955.0,289587.0,4469.0,4277.0,https://pypi.org/project/pymc3,2024-05-31 12:35:21.000,192.0,277955.0,https://anaconda.org/conda-forge/pymc3,2024-06-02 18:14:42.309,604067.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+54,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 01:03:33.000,2024-10-08 20:54:15.000000,2024-10-08 20:54:15,3851.0,96.0,1138.0,137.0,3188.0,318.0,1204.0,2094.0,A library for training and deploying machine learning models on Amazon SageMaker.,458.0,41,True,2024-10-03 22:43:56.000,2.232.2,607.0,sagemaker,conda-forge/sagemaker-python-sdk,,"['mxnet', 'tensorflow']",,30744869.0,4671.0,4521.0,https://pypi.org/project/sagemaker,2024-10-03 22:43:56.000,150.0,30722920.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2024-07-31 06:30:51.886,1097461.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+55,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,,8590.0,1059.0,1455.0,104.0,1723.0,34614.0,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,,,,22348415.0,59074.0,57526.0,https://pypi.org/project/gym,2023-07-20 15:30:49.667,1548.0,22342454.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,321934.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+56,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2024-09-25 15:53:49.000000,2024-09-25 15:53:46,2789.0,14.0,7546.0,605.0,2235.0,222.0,1593.0,26187.0,The fastai deep learning library.,670.0,40,True,2024-08-27 06:50:53.000,2.7.17,151.0,fastai,,,['pytorch'],,393285.0,19244.0,18940.0,https://pypi.org/project/fastai,2024-08-27 06:50:53.000,304.0,393285.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+57,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 16:03:03.000,2024-10-10 08:43:40.000000,2024-10-09 12:11:39,7629.0,54.0,3631.0,252.0,3137.0,1034.0,2659.0,21113.0,Graph Neural Network Library for PyTorch.,520.0,40,True,2024-09-26 08:11:27.000,2.6.1,46.0,torch-geometric,conda-forge/pytorch_geometric,,['pytorch'],,414365.0,6967.0,6612.0,https://pypi.org/project/torch-geometric,2024-09-26 08:11:27.000,355.0,412523.0,https://anaconda.org/conda-forge/pytorch_geometric,2024-09-26 16:16:39.995,93982.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+58,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2024-10-01 23:03:49.000000,2024-10-01 23:03:47,8605.0,54.0,2216.0,211.0,4207.0,22.0,1937.0,21030.0,Build multimodal AI applications with cloud-native stack.,177.0,40,True,2024-10-01 09:31:10.000,3.27.17,2481.0,jina,conda-forge/jina-core,,,,163039.0,1798.0,1771.0,https://pypi.org/project/jina,2024-10-01 09:22:15.000,27.0,129763.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,76050.0,2.0,jinaai/jina,https://hub.docker.com/r/jinaai/jina,2024-10-01 09:40:53.390346,8.0,1748405.0,,,,,,,,,,,,,,,,,,,
+59,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/piskvorky/gensim,https://github.com/piskvorky/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2024-09-03 16:06:08.530000,2024-08-10 11:58:54,4534.0,8.0,4376.0,430.0,1708.0,384.0,1465.0,15603.0,Topic Modelling for Humans.,458.0,40,True,2024-07-19 14:39:26.000,4.3.3,94.0,gensim,conda-forge/gensim,,,4879.0,4584796.0,66600.0,65223.0,https://pypi.org/project/gensim,2024-07-19 14:39:26.000,1377.0,4552293.0,https://anaconda.org/conda-forge/gensim,2024-09-03 16:06:08.530,1395715.0,1.0,,,,,,piskvorky/gensim,,,,,,,,,,,,,,,,,,
+60,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2024-10-10 11:28:23.000000,2024-10-10 11:28:23,1557.0,37.0,2449.0,140.0,548.0,1171.0,1010.0,15012.0,State-of-the-Art Text Embeddings.,184.0,40,True,2024-09-19 14:18:18.000,3.1.1,55.0,sentence-transformers,conda-forge/sentence-transformers,,['pytorch'],,5557852.0,51528.0,49894.0,https://pypi.org/project/sentence-transformers,2024-09-19 14:18:03.000,1634.0,5549545.0,https://anaconda.org/conda-forge/sentence-transformers,2024-09-24 16:14:33.235,407086.0,1.0,,,,,,,-1.0,,,,,,,,,,,,,,,,,
+61,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2024-10-10 01:27:13.000000,2024-10-10 01:27:12,1024.0,87.0,1638.0,128.0,933.0,333.0,732.0,14110.0,Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125.,151.0,40,True,2024-10-08 22:32:45.000,1.4.18,73.0,albumentations,conda-forge/albumentations,,['pytorch'],,4572444.0,28224.0,27639.0,https://pypi.org/project/albumentations,2024-10-08 22:32:45.000,585.0,4568569.0,https://anaconda.org/conda-forge/albumentations,2024-09-22 17:25:30.224,197663.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+62,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2024-10-06 16:57:35.000000,2024-10-06 16:57:24,8284.0,17.0,3366.0,479.0,725.0,53.0,2174.0,13472.0,A toolkit for making real world machine learning and data analysis applications in C++.,197.0,40,False,2024-08-09 19:26:11.000,19.24.6,39.0,dlib,conda-forge/dlib,,,25504.0,181682.0,30855.0,30642.0,https://pypi.org/project/dlib,2024-08-09 19:21:06.000,213.0,164578.0,https://anaconda.org/conda-forge/dlib,2024-09-11 22:57:26.780,877608.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+63,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2024-10-10 13:30:26.000000,2024-10-10 13:30:24,1823.0,41.0,783.0,120.0,649.0,46.0,949.0,8976.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,94.0,40,True,2024-10-10 09:56:39.000,0.20.1,99.0,tokenizers,conda-forge/tokenizers,,,65.0,31252358.0,107745.0,106749.0,https://pypi.org/project/tokenizers,2024-10-10 09:56:28.000,996.0,31211163.0,https://anaconda.org/conda-forge/tokenizers,2024-08-12 03:17:57.893,2100926.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+64,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2024-10-09 10:48:40.000000,2024-10-09 10:48:40,10143.0,266.0,1368.0,133.0,1271.0,136.0,994.0,8690.0,A PyTorch-based Speech Toolkit.,245.0,40,True,2024-10-01 10:55:15.000,1.0.1,17.0,speechbrain,,,['pytorch'],,2863542.0,2384.0,2322.0,https://pypi.org/project/speechbrain,2024-09-02 14:25:26.000,62.0,2863542.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+65,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2024-10-09 16:12:06.000000,2024-10-09 16:12:04,1584.0,94.0,945.0,98.0,1552.0,119.0,1486.0,7798.0,"A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic..",295.0,40,True,2024-10-07 15:42:18.000,1.0.0,61.0,accelerate,conda-forge/accelerate,,['pytorch'],,7685742.0,54895.0,53392.0,https://pypi.org/project/accelerate,2024-10-07 15:29:34.000,1503.0,7679626.0,https://anaconda.org/conda-forge/accelerate,2024-10-08 05:27:45.262,220191.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+66,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2024-10-07 22:35:43.000000,2024-10-02 09:57:23,2317.0,40.0,565.0,90.0,884.0,288.0,951.0,3859.0,Manipulation and analysis of geometric objects.,160.0,40,True,2024-08-19 21:56:13.000,2.0.6,125.0,shapely,conda-forge/shapely,,,3685.0,33837610.0,84285.0,81350.0,https://pypi.org/project/shapely,2024-08-19 21:56:13.000,2935.0,33629328.0,https://anaconda.org/conda-forge/shapely,2024-09-25 14:46:10.973,10409004.0,1.0,,,,,,,-1.0,,,,,,,,,,,,,,,,,
+67,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2024-10-10 11:06:20.000000,2024-10-10 11:06:20,5898.0,75.0,719.0,57.0,5153.0,1574.0,2371.0,1571.0,A distributed task scheduler for Dask.,329.0,40,True,2024-09-28 00:59:41.000,2024.9.1,240.0,distributed,conda-forge/distributed,,,,5340269.0,37633.0,36792.0,https://pypi.org/project/distributed,2024-09-28 00:59:41.000,841.0,5056300.0,https://anaconda.org/conda-forge/distributed,2024-09-28 02:21:08.800,15050383.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+68,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2024-10-09 14:18:54.000000,2024-08-30 09:20:57,6142.0,83.0,2097.0,203.0,1230.0,114.0,2219.0,13864.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,270.0,39,True,2024-07-25 12:21:58.000,0.14.0,33.0,flair,conda-forge/python-flair,,['pytorch'],,98259.0,3690.0,3549.0,https://pypi.org/project/flair,2024-07-25 12:15:28.000,141.0,97631.0,https://anaconda.org/conda-forge/python-flair,2024-01-05 20:59:40.138,32056.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+69,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2024-10-10 05:29:33.000000,2024-10-10 05:29:33,4407.0,231.0,2997.0,174.0,5043.0,524.0,2356.0,13436.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",295.0,39,True,2024-09-03 04:16:25.000,2.4.0,453.0,dgl,,,,,129875.0,454.0,306.0,https://pypi.org/project/dgl,2024-05-13 01:10:39.000,148.0,129875.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+70,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2024-10-10 09:26:15.000000,2024-10-10 09:26:15,29078.0,392.0,811.0,129.0,6363.0,636.0,1765.0,9337.0,NumPy & SciPy for GPU.,391.0,39,True,2024-08-22 07:42:45.000,13.3.0,141.0,cupy,conda-forge/cupy,,,189053.0,150086.0,2550.0,2281.0,https://pypi.org/project/cupy,2024-08-22 07:08:16.000,269.0,56688.0,https://anaconda.org/conda-forge/cupy,2024-08-22 12:51:10.755,4764844.0,1.0,cupy/cupy,https://hub.docker.com/r/cupy/cupy,2024-08-22 07:44:42.171252,13.0,68093.0,,,,,,,,,,,,,,,,,,,
+71,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2024-10-10 10:45:12.000000,2024-10-10 10:45:12,4939.0,255.0,1331.0,105.0,4263.0,954.0,1584.0,7815.0,A unified framework for machine learning with time series.,397.0,39,True,2024-09-26 08:11:08.000,0.33.1,81.0,sktime,conda-forge/sktime-all-extras,,['sklearn'],101.0,786792.0,3464.0,3338.0,https://pypi.org/project/sktime,2024-09-26 08:11:08.000,126.0,760693.0,https://anaconda.org/conda-forge/sktime-all-extras,2024-09-25 06:57:14.828,1017846.0,1.0,,,,,,sktime/sktime,,,,,,,,,,,,,,,,,,
+72,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2024-10-10 11:01:17.000000,2024-10-10 11:01:17,2028.0,24.0,919.0,104.0,1695.0,440.0,1265.0,4475.0,Python tools for geographic data.,234.0,39,True,2024-07-02 12:26:55.000,1.0.1,57.0,geopandas,conda-forge/geopandas,,['pandas'],2726.0,7828874.0,44401.0,41562.0,https://pypi.org/project/geopandas,2024-07-02 12:26:50.000,2839.0,7751423.0,https://anaconda.org/conda-forge/geopandas,2024-09-21 05:55:22.256,4026056.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+73,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2024-10-10 11:19:25.000000,2024-10-10 07:47:18,6517.0,138.0,1538.0,109.0,4464.0,692.0,742.0,4291.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",313.0,39,True,2024-06-05 08:15:47.000,4.9.6,39.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,['tensorflow'],,1706987.0,19937.0,19608.0,https://pypi.org/project/tensorflow-datasets,2024-06-05 08:15:42.000,329.0,1706125.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,35382.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+74,MNE,mne-tools/mne-python,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000,2024-10-09 20:54:58.000000,2024-10-09 20:54:58,18147.0,121.0,1306.0,83.0,8029.0,527.0,4367.0,2693.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,378.0,39,True,2024-08-19 02:18:45.000,1.8.0,80.0,mne,conda-forge/mne,,,,163868.0,4855.0,4467.0,https://pypi.org/project/mne,2024-08-19 02:18:45.000,388.0,155777.0,https://anaconda.org/conda-forge/mne,2024-08-19 02:39:24.602,428875.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+75,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2024-10-10 12:13:42.000000,2024-10-10 12:13:42,36003.0,396.0,13281.0,947.0,25470.0,1218.0,,23917.0,Apache Flink Python API.,1924.0,38,True,2024-06-14 14:43:26.000,1.19.1,49.0,apache-flink,,,,,219414.0,56.0,21.0,https://pypi.org/project/apache-flink,2024-08-01 04:14:17.000,35.0,219414.0,,,,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,,6800.0,1068.0,11124.0,1805.0,7758.0,20773.0,"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'],27631.0,676088.0,7646.0,7520.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,120.0,675680.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,11107.0,2.0,,,,,,apache/mxnet,,,,,,,,,,,6.0,,,,,,,
+77,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2024-09-16 12:14:44.000000,2024-03-21 15:05:22,32610.0,,4611.0,352.0,6373.0,124.0,6642.0,18745.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",597.0,38,True,2024-04-18 15:06:29.000,3.6.20,373.0,rasa,,,['tensorflow'],,160291.0,4562.0,4502.0,https://pypi.org/project/rasa,2024-04-18 15:06:12.000,60.0,160291.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+78,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2024-08-20 10:05:57.000000,2024-05-27 18:04:07,1101.0,,1555.0,255.0,683.0,480.0,1059.0,12440.0,Video editing with Python.,161.0,38,True,2020-05-07 16:29:35.000,1.0.3,85.0,moviepy,conda-forge/moviepy,,,,1363565.0,47146.0,46203.0,https://pypi.org/project/moviepy,2021-12-15 14:41:26.454,943.0,1360478.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,268602.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+79,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2024-10-10 10:51:18.000000,2024-10-10 10:51:18,1662.0,137.0,2031.0,143.0,240.0,9.0,1111.0,12065.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",67.0,38,True,2024-08-17 07:30:49.000,0.0.93,92.0,deepface,,,,,105108.0,4230.0,4186.0,https://pypi.org/project/deepface,2024-08-17 07:24:30.000,44.0,105108.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+80,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2024-10-01 15:58:11.000000,2024-08-18 00:47:35,986.0,13.0,1168.0,127.0,309.0,36.0,715.0,10159.0,Unsupervised text tokenizer for Neural Network-based text generation.,89.0,38,True,2024-02-19 17:03:42.000,0.2.0,35.0,sentencepiece,conda-forge/sentencepiece,,,44535.0,22526464.0,80896.0,79164.0,https://pypi.org/project/sentencepiece,2024-02-19 17:03:42.000,1732.0,22505200.0,https://anaconda.org/conda-forge/sentencepiece,2024-09-28 23:52:46.995,1053816.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+81,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2024-10-10 10:34:18.000000,2024-10-10 10:34:18,2805.0,43.0,955.0,127.0,1941.0,287.0,659.0,9870.0,Geometric Computer Vision Library for Spatial AI.,269.0,38,True,2024-06-28 15:16:20.000,0.7.3,40.0,kornia,conda-forge/kornia,,['pytorch'],1493.0,1906936.0,12226.0,11964.0,https://pypi.org/project/kornia,2024-06-28 15:16:20.000,262.0,1903655.0,https://anaconda.org/conda-forge/kornia,2024-06-28 20:04:02.857,150010.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+82,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2024-10-10 11:52:52.000000,2024-10-10 11:31:20,22150.0,464.0,2159.0,182.0,3376.0,347.0,2079.0,8372.0,End-to-End Speech Processing Toolkit.,452.0,38,True,2024-10-01 06:28:01.000,.202409,53.0,espnet,,,,82.0,32938.0,390.0,378.0,https://pypi.org/project/espnet,2024-02-06 03:28:41.000,12.0,32937.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+83,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2024-10-08 04:45:28.000000,2024-10-08 04:45:28,1883.0,9.0,2220.0,163.0,874.0,88.0,1035.0,6881.0,Python Data. Leaflet.js Maps.,170.0,38,True,2024-06-16 15:22:45.000,0.17.0,32.0,folium,conda-forge/folium,,,,1528181.0,44645.0,43899.0,https://pypi.org/project/folium,2024-06-16 15:22:45.000,746.0,1458943.0,https://anaconda.org/conda-forge/folium,2024-06-17 06:35:28.582,3115716.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+84,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2024-10-09 08:07:06.000000,2024-10-09 08:07:04,4745.0,210.0,481.0,36.0,3683.0,602.0,1131.0,2648.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,163.0,38,True,2024-07-22 04:26:19.000,0.44.1,98.0,pyvista,conda-forge/pyvista,,['jupyter'],835.0,311306.0,4032.0,3505.0,https://pypi.org/project/pyvista,2024-07-20 05:33:22.000,527.0,300534.0,https://anaconda.org/conda-forge/pyvista,2024-07-20 12:44:44.232,559630.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+85,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2024-10-08 14:37:33.000000,2024-10-07 17:42:22,3894.0,39.0,530.0,147.0,1210.0,140.0,1680.0,2237.0,Rasterio reads and writes geospatial raster datasets.,159.0,38,True,2024-10-01 13:34:26.000,1.4.1,164.0,rasterio,conda-forge/rasterio,,,966.0,3597263.0,14723.0,13290.0,https://pypi.org/project/rasterio,2024-10-01 13:28:36.000,1433.0,3516712.0,https://anaconda.org/conda-forge/rasterio,2024-10-01 11:13:22.492,3624459.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+86,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 10:20:28.000,2024-10-10 12:15:12.000000,2024-10-10 12:15:11,1581.0,105.0,531.0,59.0,1525.0,155.0,815.0,2033.0,The official Python client for the Huggingface Hub.,199.0,38,True,2024-10-09 08:35:18.000,0.25.2,128.0,huggingface_hub,conda-forge/huggingface_hub,,,,43537142.0,1863.0,,https://pypi.org/project/huggingface_hub,2024-10-09 08:32:39.000,1863.0,43487122.0,https://anaconda.org/conda-forge/huggingface_hub,2024-10-09 14:52:14.987,2200907.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+87,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2024-08-19 12:09:51.456000,2024-08-19 02:35:18,1541.0,5.0,292.0,30.0,495.0,98.0,507.0,1466.0,Python library for reading and writing image data.,116.0,38,True,2024-08-19 02:35:29.000,2.35.1,94.0,imageio,conda-forge/imageio,,,1328.0,37654167.0,145224.0,142803.0,https://pypi.org/project/imageio,2024-08-19 02:35:25.000,2421.0,37517125.0,https://anaconda.org/conda-forge/imageio,2024-08-19 12:09:51.456,6988257.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+88,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2024-08-21 09:23:45.000000,2020-02-15 08:33:35,523.0,,6713.0,1279.0,167.0,674.0,227.0,33176.0,Chinese Words Segmentation Utilities.,49.0,37,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,1266540.0,32225.0,31387.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,838.0,1264742.0,https://anaconda.org/conda-forge/jieba,2023-06-16 13:21:35.778,161899.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+89,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2024-08-21 02:01:07.000000,2024-02-05 13:23:18,2706.0,,9401.0,371.0,3157.0,1782.0,6714.0,29274.0,OpenMMLab Detection Toolbox and Benchmark.,480.0,37,True,2024-01-05 06:25:30.000,3.3.0,53.0,mmdet,,,['pytorch'],,178362.0,3120.0,3038.0,https://pypi.org/project/mmdet,2024-01-05 06:25:30.000,82.0,178362.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+90,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2024-10-10 03:50:14.000000,2024-10-10 03:50:05,8541.0,315.0,2759.0,301.0,231.0,23.0,1118.0,27807.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,37,True,2024-10-06 05:05:31.000,7.9.5,671.0,netron,,,"['pytorch', 'tensorflow']",55243.0,87924.0,653.0,570.0,https://pypi.org/project/netron,2024-10-06 05:05:31.000,83.0,32681.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+91,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2024-09-30 03:00:08.000000,2024-09-30 03:00:08,2336.0,32.0,5376.0,510.0,177.0,1135.0,1372.0,23050.0,State-of-the-art 2D and 3D Face Analysis Project.,61.0,37,True,2023-04-02 08:03:01.222,0.7.3,28.0,insightface,,,['mxnet'],4916384.0,552599.0,2807.0,2777.0,https://pypi.org/project/insightface,2022-12-17 02:14:00.699,30.0,279467.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+92,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2024-10-09 03:23:34.000000,2024-06-20 12:51:40,1687.0,,2848.0,378.0,469.0,3.0,1903.0,14826.0,Python Echarts Plotting Library.,44.0,37,True,2024-06-20 15:50:49.000,2.0.6,74.0,pyecharts,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],70.0,134791.0,4684.0,4475.0,https://pypi.org/project/pyecharts,2024-06-20 15:48:17.000,209.0,134788.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+93,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2024-10-05 19:10:14.000000,2024-10-04 03:31:10,1485.0,16.0,1672.0,154.0,810.0,236.0,571.0,12446.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,130.0,37,True,2024-09-07 09:50:39.000,4.10.0,63.0,pandas-profiling,conda-forge/pandas-profiling,,"['jupyter', 'pandas']",188.0,338906.0,4524.0,4341.0,https://pypi.org/project/pandas-profiling,2023-02-03 17:59:40.571,183.0,334154.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,465675.0,2.0,,,,,,ydataai/ydata-profiling,,,,,,,,,,,,,,,,,,
+94,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,,2483.0,538.0,4120.0,694.0,2087.0,9895.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,37,True,2020-07-27 16:13:54.000,1.0.5,45.0,theano,conda-forge/theano,,,,119647.0,15712.0,15540.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,172.0,94886.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2451409.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+95,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2024-10-10 03:54:36.000000,2024-10-10 03:54:34,33315.0,2078.0,1992.0,199.0,5852.0,42.0,3390.0,9467.0,Perform data science on data that remains in someone elses server.,515.0,37,True,2024-09-04 20:09:29.000,0.9.1,317.0,syft,,,['pytorch'],2314.0,18648.0,5.0,1.0,https://pypi.org/project/syft,2024-10-06 12:38:26.000,4.0,18438.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+96,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2024-10-10 13:01:19.000000,2024-10-10 11:20:38,4762.0,183.0,623.0,86.0,2611.0,262.0,734.0,6028.0,Flax is a neural network library for JAX that is designed for flexibility.,240.0,37,True,2024-08-27 17:51:42.000,0.9.0,47.0,flax,conda-forge/flax,,['jax'],55.0,842110.0,9952.0,9484.0,https://pypi.org/project/flax,2024-08-27 17:51:42.000,468.0,840419.0,https://anaconda.org/conda-forge/flax,2024-08-27 20:55:17.110,72692.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+97,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2024-10-10 05:39:26.000000,2024-10-09 06:38:58,10849.0,32.0,402.0,59.0,3079.0,1110.0,2228.0,2694.0,"With Holoviews, your data visualizes itself.",145.0,37,True,2024-08-01 13:45:47.955,3.0.3,169.0,holoviews,conda-forge/holoviews,,['jupyter'],,718292.0,12710.0,12313.0,https://pypi.org/project/holoviews,2024-10-01 16:21:54.000,392.0,683242.0,https://anaconda.org/conda-forge/holoviews,2024-07-07 07:21:50.008,1808836.0,2.0,,,,,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2024-08-01 13:45:47.955,5.0,265.0,,,,,,,,,,,
+98,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 01:09:14.000,2024-10-04 16:37:24.000000,2024-10-02 23:05:03,4901.0,553.0,1102.0,149.0,1335.0,63.0,699.0,1883.0,Documentation and samples for ArcGIS API for Python.,92.0,37,True,2024-09-24 16:57:38.000,2.4.0,50.0,arcgis,,,,12405.0,78580.0,875.0,835.0,https://pypi.org/project/arcgis,2024-10-01 15:35:29.000,40.0,78453.0,,,,2.0,esridocker/arcgis-api-python-notebook,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,,,,,,,,,,,,,,,,,,,
+99,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2024-10-07 07:58:03.000000,2024-09-30 16:27:25,1562.0,24.0,202.0,47.0,609.0,31.0,774.0,1153.0,Fiona reads and writes geographic data files.,76.0,37,True,2024-09-16 20:20:31.000,1.10.1,117.0,fiona,conda-forge/fiona,,,,5426743.0,23042.0,22770.0,https://pypi.org/project/fiona,2024-09-16 20:14:20.000,272.0,5308379.0,https://anaconda.org/conda-forge/fiona,2024-09-18 13:16:30.929,6036564.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+100,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2024-10-03 15:50:44.000000,2024-10-03 15:50:44,2326.0,3.0,6351.0,428.0,1347.0,1271.0,3050.0,30297.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,428.0,36,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,['pytorch'],358.0,150035.0,3699.0,3582.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,117.0,148170.0,https://anaconda.org/conda-forge/fairseq,2024-09-22 22:23:30.593,94917.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+101,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2024-09-24 11:34:43.000000,2024-09-24 11:18:06,618.0,3.0,3130.0,315.0,259.0,427.0,594.0,24010.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",129.0,36,True,2024-09-24 11:34:43.000,1.7.2,33.0,easyocr,,,,15061230.0,758389.0,8883.0,8670.0,https://pypi.org/project/easyocr,2024-09-24 11:34:43.000,213.0,468750.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+102,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2024-07-30 01:38:33.000000,2020-06-01 14:58:26,2913.0,,2430.0,229.0,340.0,304.0,225.0,14363.0,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,,,,542028.0,22292.0,22027.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,265.0,539219.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,179806.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+103,ivy,unifyai/ivy,ml-frameworks,,https://github.com/ivy-llc/ivy,https://github.com/ivy-llc/ivy,Apache-2.0,2021-01-19 08:37:25.000,2024-10-10 13:51:40.000000,2024-10-10 06:24:40,18715.0,358.0,5767.0,70.0,11740.0,937.0,15949.0,14023.0,Convert Machine Learning Code Between Frameworks.,1479.0,36,True,2023-06-29 19:33:01.167,0.0.0,124.0,ivy,,,,,5505.0,12.0,,https://pypi.org/project/ivy,2024-09-25 03:02:55.000,12.0,5505.0,,,,2.0,,,,,,ivy-llc/ivy,,,,,,,,,,,,,,,,,,
+104,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2024-08-15 14:02:46.000000,2024-04-12 16:27:53,4816.0,,5179.0,381.0,719.0,655.0,1366.0,12951.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",199.0,36,False,2024-02-24 10:01:09.000,2.7.0,58.0,glfw,conda-forge/glfw,,,3974365.0,593835.0,1636.0,1443.0,https://pypi.org/project/glfw,2024-02-24 10:01:09.000,193.0,553398.0,https://anaconda.org/conda-forge/glfw,2024-02-24 15:41:47.790,258661.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+105,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2024-10-10 14:16:46.000000,2024-10-10 14:16:44,7263.0,528.0,2448.0,205.0,7861.0,149.0,2216.0,11762.0,"A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal,..",352.0,36,True,2024-08-15 21:55:14.000,r2.0.0rc1,74.0,nemo-toolkit,,,['pytorch'],266454.0,145661.0,34.0,21.0,https://pypi.org/project/nemo-toolkit,2024-08-15 22:05:43.000,13.0,141293.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+106,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,,2243.0,280.0,3096.0,91.0,2477.0,11747.0,"An open-source NLP research library, built on PyTorch.",267.0,36,False,2022-10-18 23:54:05.191,2.10.1,265.0,allennlp,conda-forge/allennlp,,['pytorch'],68.0,117730.0,4362.0,4237.0,https://pypi.org/project/allennlp,2022-10-18 23:54:05.191,125.0,115560.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,151922.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+107,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2024-10-08 00:11:20.000000,2024-08-07 18:02:18,598.0,9.0,1131.0,262.0,196.0,109.0,171.0,9121.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",37.0,36,True,2024-02-15 20:31:28.000,0.18.0,61.0,textblob,conda-forge/textblob,,,123.0,1288979.0,43707.0,43317.0,https://pypi.org/project/textblob,2024-02-15 20:39:47.000,390.0,1286269.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,265654.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+108,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2024-08-30 03:35:21.000000,2024-08-30 03:34:11,5357.0,41.0,1748.0,134.0,1020.0,366.0,1948.0,8868.0,"An open-source, low-code machine learning library in Python.",141.0,36,True,2024-04-28 18:46:27.000,3.3.2,98.0,pycaret,conda-forge/pycaret,,,713.0,279676.0,6472.0,6441.0,https://pypi.org/project/pycaret,2024-04-28 18:46:21.000,31.0,278548.0,https://anaconda.org/conda-forge/pycaret,2024-04-25 15:07:46.052,55753.0,2.0,,,,,,,-1.0,,,,,,,,,,,,,,,,,
+109,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2024-10-10 15:14:40.000000,2024-10-09 14:35:51,21380.0,734.0,549.0,56.0,3383.0,494.0,1062.0,8760.0,"Visualize, create, and debug image and video datasets and model predictions.",133.0,36,True,2024-10-01 13:49:20.000,1.0.0,148.0,fiftyone,,,"['tensorflow', 'pytorch', 'jupyter']",,77393.0,728.0,706.0,https://pypi.org/project/fiftyone,2024-10-01 01:41:17.000,22.0,77393.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+110,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2024-09-21 19:23:59.000000,2024-09-21 19:22:59,697.0,20.0,344.0,67.0,125.0,35.0,149.0,8421.0,"Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others).",29.0,36,True,2024-04-28 04:07:49.000,0.8.0,15.0,einops,conda-forge/einops,,,,5199114.0,49166.0,47126.0,https://pypi.org/project/einops,2024-04-28 04:07:49.000,2040.0,5193317.0,https://anaconda.org/conda-forge/einops,2024-04-28 06:22:09.150,278276.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+111,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2024-10-07 23:00:37.000000,2024-10-07 23:00:35,1442.0,22.0,910.0,213.0,241.0,179.0,243.0,6969.0,Efficiently computes derivatives of NumPy code.,59.0,36,True,2024-08-22 19:07:12.000,1.7.0,30.0,autograd,conda-forge/autograd,,,,2661913.0,10018.0,9735.0,https://pypi.org/project/autograd,2024-08-22 19:07:12.000,283.0,2644780.0,https://anaconda.org/conda-forge/autograd,2024-08-26 07:50:41.522,479741.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+112,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2024-09-30 07:44:06.000000,2024-09-30 07:41:14,3141.0,73.0,1051.0,89.0,3484.0,359.0,2760.0,5743.0,AI Toolkit for Healthcare Imaging.,204.0,36,True,2024-06-26 07:23:34.000,1.3.2,101.0,monai,conda-forge/monai,,['pytorch'],,154647.0,3040.0,2923.0,https://pypi.org/project/monai,2024-09-30 07:44:06.000,117.0,153750.0,https://anaconda.org/conda-forge/monai,2024-06-26 07:27:45.102,30500.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+113,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2024-09-27 13:25:23.000000,2024-09-08 06:20:16,4165.0,50.0,1096.0,154.0,1721.0,416.0,895.0,3876.0,Fast data visualization and GUI tools for scientific / engineering applications.,287.0,36,True,2024-04-29 02:18:56.000,0.13.7,25.0,pyqtgraph,conda-forge/pyqtgraph,,,,359986.0,11411.0,10385.0,https://pypi.org/project/pyqtgraph,2024-04-29 02:18:56.000,1026.0,348459.0,https://anaconda.org/conda-forge/pyqtgraph,2024-05-02 20:24:38.556,599414.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+114,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2024-10-10 14:58:19.000000,2024-09-28 18:56:29,8603.0,48.0,710.0,99.0,13339.0,36.0,854.0,3832.0,State of the Art Natural Language Processing.,113.0,36,True,2024-09-25 20:20:27.000,5.5.0,148.0,spark-nlp,,,['spark'],,3986872.0,549.0,512.0,https://pypi.org/project/spark-nlp,2024-09-25 14:58:28.000,37.0,3986872.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+115,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2024-10-07 18:43:02.000000,2024-10-07 18:43:00,7401.0,10.0,618.0,115.0,1187.0,353.0,1115.0,3306.0,High-performance interactive 2D/3D data visualization library.,198.0,36,True,2024-06-17 12:39:47.000,0.14.3,39.0,vispy,conda-forge/vispy,,['jupyter'],,458816.0,1874.0,1698.0,https://pypi.org/project/vispy,2024-06-17 12:32:22.000,173.0,446361.0,https://anaconda.org/conda-forge/vispy,2024-09-04 12:47:04.775,610195.0,2.0,,,,,,,2.0,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,3.0,3.0,,,,,,,,,,,
+116,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2024-10-01 10:35:24.000000,2024-09-30 12:55:05,5344.0,19.0,275.0,78.0,797.0,18.0,128.0,2816.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",64.0,36,True,2024-10-01 10:35:24.000,8.3.2,241.0,thinc,conda-forge/thinc,,,376.0,11477492.0,54101.0,53960.0,https://pypi.org/project/thinc,2024-10-01 10:35:24.000,141.0,11418968.0,https://anaconda.org/conda-forge/thinc,2024-07-14 15:52:37.957,3101570.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+117,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2024-10-10 07:23:43.000000,2024-10-10 06:10:39,3338.0,233.0,303.0,69.0,2087.0,59.0,716.0,2360.0,Adaptive Experimentation Platform.,174.0,36,True,2024-09-23 20:22:26.000,0.4.3,43.0,ax-platform,conda-forge/ax-platform,,['pytorch'],,112707.0,869.0,815.0,https://pypi.org/project/ax-platform,2024-09-23 20:22:26.000,54.0,112018.0,https://anaconda.org/conda-forge/ax-platform,2024-09-24 20:13:10.358,27598.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+118,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2024-10-10 14:57:28.000000,2024-10-10 14:18:04,4602.0,277.0,592.0,46.0,5036.0,312.0,1083.0,2307.0,"PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry...",185.0,36,True,2024-09-12 16:21:00.000,0.38.1,59.0,pennylane,conda-forge/pennylane,,,95.0,76617.0,1201.0,1085.0,https://pypi.org/project/pennylane,2024-09-12 16:21:00.000,116.0,72323.0,https://anaconda.org/conda-forge/pennylane,2024-07-09 13:59:12.283,150266.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+119,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2024-10-10 14:51:13.000000,2024-10-10 09:42:18,1937.0,100.0,394.0,32.0,1673.0,80.0,791.0,2110.0,"Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.",253.0,36,True,2024-10-10 12:04:35.000,1.4.3,49.0,metrics,conda-forge/torchmetrics,,['pytorch'],5679.0,43192.0,30894.0,30892.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,2.0,5967.0,https://anaconda.org/conda-forge/torchmetrics,2024-09-14 06:48:05.562,1595014.0,2.0,,,,,,Lightning-AI/torchmetrics,,,,,,,,,,,,,,,,,,
+120,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2024-10-08 21:42:17.000000,2024-10-08 21:42:17,1568.0,18.0,395.0,48.0,1518.0,179.0,687.0,1597.0,Exploratory analysis of Bayesian models with Python.,163.0,36,True,2024-09-28 20:50:27.000,0.20.0,39.0,arviz,conda-forge/arviz,,,157.0,1737214.0,8071.0,7758.0,https://pypi.org/project/arviz,2024-09-28 20:50:27.000,313.0,1695332.0,https://anaconda.org/conda-forge/arviz,2024-09-29 12:11:02.561,2219647.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+121,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2024-10-10 13:21:02.000000,2024-10-10 13:20:58,10397.0,68.0,595.0,70.0,2533.0,298.0,1827.0,1173.0,Machine learning for NeuroImaging in Python.,245.0,36,True,2024-04-09 09:15:50.000,0.10.4,47.0,nilearn,conda-forge/nilearn,,['sklearn'],237.0,71391.0,3778.0,3482.0,https://pypi.org/project/nilearn,2024-04-09 09:09:58.000,296.0,65106.0,https://anaconda.org/conda-forge/nilearn,2024-04-09 13:18:52.622,295192.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+122,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2024-10-10 01:18:22.000000,2024-10-10 01:16:59,1583.0,30.0,210.0,34.0,714.0,32.0,589.0,1050.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,66.0,36,True,2024-10-01 05:02:59.000,3.7.0,63.0,pyproj,conda-forge/pyproj,,,,9773356.0,36092.0,34352.0,https://pypi.org/project/pyproj,2024-10-01 05:02:59.000,1740.0,9602592.0,https://anaconda.org/conda-forge/pyproj,2024-10-01 16:10:00.706,8708988.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+123,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2024-10-08 21:25:48.779000,2024-10-08 18:27:56,6030.0,137.0,258.0,37.0,848.0,129.0,409.0,649.0,Python package to access a cacophony of neuro-imaging file formats.,104.0,36,True,2024-10-08 18:26:39.000,5.3.0,43.0,nibabel,conda-forge/nibabel,,,,1561429.0,23102.0,21930.0,https://pypi.org/project/nibabel,2024-10-08 18:24:51.000,1172.0,1546477.0,https://anaconda.org/conda-forge/nibabel,2024-10-08 21:25:48.779,777550.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+124,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2024-08-21 06:22:36.000000,2022-06-10 09:12:18,238.0,,13454.0,1565.0,232.0,792.0,588.0,53087.0,The worlds simplest facial recognition api for Python and the command line.,54.0,35,False,2020-02-20 14:26:01.000,1.3.0,23.0,face_recognition,conda-forge/face_recognition,,['pytorch'],1387.0,126776.0,3435.0,3319.0,https://pypi.org/project/face_recognition,2020-02-20 14:26:01.000,116.0,126201.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,27483.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+125,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2024-08-16 12:07:14.000000,2024-02-10 14:20:58,4668.0,,4179.0,286.0,747.0,85.0,1028.0,34491.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",166.0,35,True,2023-12-12 15:27:06.000,0.22.0,98.0,tts,conda-forge/tts,,"['pytorch', 'tensorflow']",3336425.0,197497.0,1821.0,1768.0,https://pypi.org/project/tts,2023-12-12 15:27:06.000,53.0,119421.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,17493.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+126,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2024-06-12 09:44:40.000000,2024-03-13 15:16:33,391.0,,4709.0,846.0,268.0,556.0,611.0,25878.0,Library for fast text representation and classification.,68.0,35,True,2024-06-12 09:44:40.000,0.9.3,37.0,fasttext,conda-forge/fasttext,,,,1831265.0,6915.0,6668.0,https://pypi.org/project/fasttext,2024-06-12 09:44:40.000,247.0,1829161.0,https://anaconda.org/conda-forge/fasttext,2024-05-19 03:10:51.802,103128.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+127,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2024-10-09 12:26:05.000000,2024-09-11 08:45:28,9010.0,57.0,3078.0,274.0,1292.0,162.0,703.0,18934.0,Best Practices on Recommendation Systems.,136.0,35,True,2024-05-01 18:45:29.000,1.2.0,13.0,recommenders,,,,590.0,29731.0,125.0,121.0,https://pypi.org/project/recommenders,2024-05-01 18:45:29.000,4.0,29723.0,,,,1.0,,,,,,recommenders-team/recommenders,,,,,,,,,,,,,,,,,,
+128,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2024-10-04 13:02:12.277000,2024-10-02 23:54:25,816.0,15.0,4515.0,453.0,463.0,418.0,1732.0,18352.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,182.0,35,True,2024-10-02 23:56:39.000,1.1.6-patched-pypi,18.0,fbprophet,conda-forge/prophet,,,2826.0,282976.0,112.0,21.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,91.0,252793.0,https://anaconda.org/conda-forge/prophet,2024-10-04 13:02:12.277,1266395.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+129,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2024-10-10 14:20:16.000000,2024-10-08 12:35:43,3685.0,165.0,1864.0,138.0,4030.0,124.0,3425.0,17068.0,"AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",266.0,35,True,2024-10-10 08:53:02.000,2.6.1,100.0,haystack,,,,,6372.0,558.0,553.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,5.0,6372.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+130,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2024-08-31 11:57:00.000000,2024-08-31 11:55:45,1340.0,1.0,2222.0,335.0,1602.0,405.0,1860.0,14212.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",173.0,35,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,130854.0,1265.0,1232.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,33.0,130854.0,,,,2.0,,,,,,,-1.0,stable/horovod,,,,,,,,,,,,,,,,
+131,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,,4439.0,544.0,717.0,412.0,1283.0,14042.0,"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,,,,,88263.0,5959.0,5941.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,18.0,88263.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+132,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2024-09-05 05:37:11.713000,2024-07-29 00:37:39,894.0,4.0,1149.0,318.0,268.0,56.0,343.0,13162.0,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,,,,1052593.0,4512.0,4311.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,201.0,1041736.0,https://anaconda.org/conda-forge/python-annoy,2024-09-05 05:37:11.713,532011.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+133,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2024-10-08 13:55:40.000000,2024-10-07 17:40:57,2659.0,51.0,676.0,101.0,495.0,605.0,1263.0,9460.0,An open source multi-tool for exploring and publishing data.,80.0,35,True,2024-10-07 17:38:03.000,0.65,153.0,datasette,conda-forge/datasette,,,68.0,62392.0,1745.0,1332.0,https://pypi.org/project/datasette,2024-10-07 17:41:27.000,413.0,61320.0,https://anaconda.org/conda-forge/datasette,2024-10-08 05:31:37.168,44997.0,1.0,,,,,,,,,,,,,,datasette,,,,,,,,,,
+134,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2024-09-06 16:48:34.000000,2024-09-05 19:08:20,1865.0,5.0,1356.0,144.0,248.0,221.0,146.0,8492.0,"A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques.",60.0,35,True,2024-09-06 03:26:33.000,2.0.2,94.0,pyod,conda-forge/pyod,,,,663254.0,4371.0,4258.0,https://pypi.org/project/pyod,2024-09-06 03:24:51.000,113.0,660937.0,https://anaconda.org/conda-forge/pyod,2024-09-06 15:18:34.744,122808.0,1.0,,,,,,,-1.0,,,,,,,,,,,,,,,,,
+135,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 19:36:58.000,2024-09-05 15:50:55.744000,2024-08-01 18:55:53,10421.0,4.0,1926.0,352.0,3428.0,131.0,1138.0,8473.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,338.0,35,True,2024-08-08 17:57:21.000,9.10.0,30.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,60314.0,40.0,,https://pypi.org/project/vowpalwabbit,2024-08-08 17:57:21.000,40.0,55588.0,https://anaconda.org/conda-forge/vowpalwabbit,2024-09-05 15:50:55.744,226873.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+136,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2024-10-10 13:29:39.000000,2024-10-10 12:48:05,39617.0,547.0,884.0,153.0,10571.0,1052.0,5500.0,8343.0,cuDF - GPU DataFrame Library.,295.0,35,True,2024-10-09 15:25:13.000,24.10.00,56.0,cudf,,,,,3237.0,79.0,57.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,22.0,3237.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+137,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2024-10-10 03:46:56.000000,2024-10-10 03:46:56,3301.0,135.0,780.0,78.0,3678.0,168.0,915.0,7060.0,"The easiest way to serve AI apps and models - Build reliable Inference APIs, LLM apps, Multi-model chains, RAG..",208.0,35,True,2024-09-25 12:30:24.000,1.3.7,162.0,bentoml,,,,1199.0,110803.0,2112.0,2084.0,https://pypi.org/project/bentoml,2024-09-25 12:30:24.000,28.0,110780.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+138,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 16:08:07.000,2024-10-10 03:56:52.000000,2024-10-04 08:11:09,32520.0,44.0,1994.0,387.0,6879.0,2838.0,6661.0,6886.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",268.0,35,True,,,155.0,h2o,,,,,294788.0,69.0,21.0,https://pypi.org/project/h2o,2024-08-29 13:55:23.000,48.0,294788.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+139,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2024-10-07 17:52:42.000000,2024-10-07 17:43:42,10536.0,36.0,1669.0,143.0,2435.0,637.0,1237.0,5427.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",248.0,35,True,2024-04-03 16:21:23.000,2.8.0,924.0,deepchem,conda-forge/deepchem,,['tensorflow'],,72555.0,450.0,437.0,https://pypi.org/project/deepchem,2024-10-07 17:52:42.000,13.0,70437.0,https://anaconda.org/conda-forge/deepchem,2024-04-05 16:46:45.105,110167.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+140,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2024-10-10 13:52:36.000000,2024-10-10 13:52:36,30411.0,259.0,1593.0,183.0,2186.0,19.0,1612.0,5062.0,"mlpack: a fast, header-only C++ machine learning library.",323.0,35,True,2024-09-20 14:12:49.000,4.5.0,48.0,mlpack,conda-forge/mlpack,,,,13232.0,4.0,,https://pypi.org/project/mlpack,2024-09-20 14:12:49.000,4.0,8400.0,https://anaconda.org/conda-forge/mlpack,2024-09-22 00:54:14.076,251312.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+141,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2024-10-10 00:16:00.000000,2024-10-02 14:39:37,1727.0,20.0,612.0,59.0,1874.0,154.0,1266.0,4513.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,655.0,35,True,2024-08-13 12:47:02.000,0.5.1,1764.0,pytorch-ignite,pytorch/ignite,,['pytorch'],,179734.0,3363.0,3265.0,https://pypi.org/project/pytorch-ignite,2024-10-10 00:16:00.000,98.0,177103.0,https://anaconda.org/pytorch/ignite,2024-08-13 12:46:51.642,199990.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+142,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2024-08-11 15:17:42.000000,2024-07-24 14:28:18,965.0,2.0,833.0,91.0,218.0,124.0,685.0,4478.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",49.0,35,True,2024-06-17 17:55:00.000,84,74.0,opencv-python,,,,,16698171.0,460073.0,449717.0,https://pypi.org/project/opencv-python,2024-06-17 18:28:13.000,10356.0,16698171.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+143,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2024-10-03 12:10:38.000000,2024-10-03 12:10:36,12174.0,27.0,1095.0,163.0,466.0,689.0,754.0,4254.0,Probabilistic reasoning and statistical analysis in TensorFlow.,496.0,35,True,2024-03-12 19:43:46.000,0.24.0,52.0,tensorflow-probability,conda-forge/tensorflow-probability,,['tensorflow'],,1586617.0,615.0,2.0,https://pypi.org/project/tensorflow-probability,2024-03-12 19:43:39.000,613.0,1583298.0,https://anaconda.org/conda-forge/tensorflow-probability,2024-05-27 12:58:13.692,146048.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+144,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2024-10-07 23:02:32.000000,2024-10-03 20:57:31,3879.0,53.0,852.0,57.0,1706.0,406.0,1267.0,4207.0,"Serve, optimize and scale PyTorch models in production.",216.0,35,True,2024-09-30 22:46:39.000,0.12.0,26.0,torchserve,pytorch/torchserve,,['pytorch'],6932.0,75165.0,753.0,731.0,https://pypi.org/project/torchserve,2024-09-30 18:57:42.000,22.0,52645.0,https://anaconda.org/pytorch/torchserve,,,2.0,pytorch/torchserve,https://hub.docker.com/r/pytorch/torchserve,2024-09-30 22:07:15.226668,28.0,1343539.0,,,,,,,,,,,,,,,,,,,
+145,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2024-10-04 19:48:50.000000,2024-10-04 19:35:56,2407.0,37.0,210.0,64.0,145.0,90.0,594.0,3999.0,A Grammar of Graphics for Python.,111.0,35,True,2024-05-10 08:15:43.000,0.13.6,27.0,plotnine,conda-forge/plotnine,,,,3095625.0,9221.0,8914.0,https://pypi.org/project/plotnine,2024-05-09 20:44:49.000,307.0,3087797.0,https://anaconda.org/conda-forge/plotnine,2024-09-20 10:25:14.080,407058.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+146,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2024-10-10 11:34:35.000000,2024-09-29 13:33:28,2315.0,4.0,641.0,72.0,2898.0,249.0,726.0,2500.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",226.0,35,True,2024-09-04 20:06:34.000,2.4.1,37.0,torchaudio,,,['pytorch'],,5548604.0,1263.0,,https://pypi.org/project/torchaudio,2024-09-04 19:15:37.000,1263.0,5548604.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+147,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2024-10-10 06:10:36.000000,2024-10-09 08:53:53,5900.0,232.0,701.0,88.0,6006.0,245.0,859.0,2110.0,TFX is an end-to-end platform for deploying production ML pipelines.,190.0,35,True,2024-05-13 23:20:24.000,1.15.1,98.0,tfx,,,['tensorflow'],,37022.0,1588.0,1571.0,https://pypi.org/project/tfx,2024-05-13 23:20:24.000,17.0,37022.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+148,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 06:45:41.000,2024-10-10 11:41:52.000000,2024-10-10 11:41:51,1859.0,120.0,173.0,30.0,1815.0,91.0,192.0,1212.0,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,82.0,35,True,2024-09-18 12:49:48.000,2024.7.0,30.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,['sklearn'],,93436.0,12233.0,12178.0,https://pypi.org/project/scikit-learn-intelex,2024-09-17 16:36:34.000,55.0,85120.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2024-08-20 09:58:15.356,349274.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+149,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2024-10-07 18:14:12.000000,2024-10-07 18:14:12,14985.0,103.0,506.0,50.0,2320.0,402.0,965.0,746.0,Workflows and interfaces for neuroimaging packages.,258.0,35,True,2023-04-06 12:55:55.544,1.8.6,64.0,nipype,conda-forge/nipype,,,,216910.0,5154.0,5006.0,https://pypi.org/project/nipype,2023-04-06 12:55:55.544,148.0,203068.0,https://anaconda.org/conda-forge/nipype,2023-09-22 18:28:24.915,692106.0,2.0,,,,,,,2.0,,,,,,,,,,,,,,,,,
+150,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2024-10-10 09:02:50.000000,2024-10-10 09:02:49,3703.0,211.0,4314.0,383.0,4190.0,415.0,1263.0,38715.0,"Making large AI models cheaper, faster and more accessible.",193.0,34,True,2024-09-19 02:53:35.000,0.4.4,44.0,,,,,,,423.0,423.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+151,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2024-10-10 03:44:12.000000,2024-10-10 03:30:41,1531.0,6.0,7430.0,386.0,686.0,525.0,3069.0,30183.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",273.0,34,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,['pytorch'],,8494.0,2052.0,2039.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,13.0,,https://anaconda.org/conda-forge/detectron2,2024-08-26 11:04:11.128,433202.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+152,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2024-09-03 21:17:43.000000,2021-11-17 17:52:52,3466.0,,3947.0,671.0,1677.0,151.0,1987.0,25191.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",163.0,34,False,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,['tensorflow'],1195037.0,50435.0,481.0,457.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,24.0,33984.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,3178.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+153,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2024-09-15 23:43:40.000000,2024-09-15 23:43:35,3868.0,24.0,993.0,136.0,180.0,113.0,1063.0,13821.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",100.0,34,True,2024-08-31 09:35:44.000,16.5.0,244.0,ocrmypdf,conda-forge/ocrmypdf,,,5282.0,132428.0,1035.0,1001.0,https://pypi.org/project/ocrmypdf,2024-08-31 09:35:10.000,34.0,130258.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,78903.0,2.0,,,,,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,
+154,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2024-10-10 10:31:09.000000,2024-10-08 19:09:35,6259.0,5.0,3623.0,245.0,1717.0,1099.0,4455.0,11199.0,Open-source simulator for autonomous driving research.,190.0,34,True,2023-11-14 22:51:02.000,0.9.15,26.0,carla,,,,,18681.0,825.0,814.0,https://pypi.org/project/carla,2023-11-14 22:51:02.000,11.0,18681.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+155,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2024-07-25 08:47:51.000000,2022-12-08 17:49:19,746.0,,1028.0,133.0,233.0,360.0,274.0,8848.0,Manipulate audio with a simple and easy high level interface.,95.0,34,False,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,6446306.0,70898.0,69529.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1369.0,6444620.0,https://anaconda.org/conda-forge/pydub,2023-06-16 16:12:25.533,118032.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+156,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2024-09-28 02:01:11.000000,2024-09-28 02:01:11,2493.0,16.0,983.0,201.0,2325.0,258.0,846.0,8516.0,Deep universal probabilistic programming with Python and PyTorch.,157.0,34,True,2024-06-02 00:37:37.000,1.9.1,36.0,pyro-ppl,conda-forge/pyro-ppl,,['pytorch'],,329067.0,186.0,,https://pypi.org/project/pyro-ppl,2024-06-02 00:37:37.000,186.0,324481.0,https://anaconda.org/conda-forge/pyro-ppl,2024-06-03 00:37:06.159,197228.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+157,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2024-10-10 13:47:11.000000,2024-10-09 20:38:38,1070.0,105.0,763.0,288.0,1429.0,328.0,417.0,8101.0,"Open Source Platform for developing, scaling and deploying serious ML, AI, and data science systems.",95.0,34,True,2024-10-07 19:08:12.000,2.12.25,149.0,metaflow,conda-forge/metaflow,,,,926414.0,773.0,728.0,https://pypi.org/project/metaflow,2024-10-07 19:08:12.000,45.0,922156.0,https://anaconda.org/conda-forge/metaflow,2024-10-08 15:30:55.152,217174.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+158,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2024-10-01 17:08:05.000000,2024-10-01 17:08:05,385.0,15.0,1525.0,129.0,163.0,8.0,355.0,7835.0,A Python implementation of global optimization with gaussian processes.,47.0,34,True,2024-07-10 12:02:35.000,1.5.1,16.0,bayesian-optimization,,,,160.0,465627.0,3118.0,2974.0,https://pypi.org/project/bayesian-optimization,2024-07-10 12:02:35.000,144.0,465626.0,,,,1.0,,,,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,,,,,,,,,
+159,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2024-10-10 09:05:04.000000,2024-10-10 07:47:00,2327.0,69.0,911.0,99.0,2613.0,367.0,1086.0,7808.0,Fast and Accurate ML in 3 Lines of Code.,125.0,34,True,2024-06-14 20:30:21.000,1.1.1,1631.0,autogluon,conda-forge/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",,242545.0,868.0,841.0,https://pypi.org/project/autogluon,2024-10-10 09:05:04.000,27.0,241446.0,https://anaconda.org/conda-forge/autogluon,2024-06-18 07:07:41.213,19597.0,1.0,autogluon/autogluon,https://hub.docker.com/r/autogluon/autogluon,2024-03-07 07:21:23.461952,17.0,10465.0,,,,,,,,,,,,,,,,,,,
+160,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2024-09-22 18:07:58.000000,2024-09-12 23:27:08,4682.0,107.0,885.0,140.0,498.0,92.0,803.0,7261.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",68.0,34,True,2024-09-12 23:17:21.000,1.9.2,28.0,stanza,stanfordnlp/stanza,,,,282278.0,3301.0,3126.0,https://pypi.org/project/stanza,2024-09-12 23:16:02.000,175.0,282134.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,7933.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+161,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 17:20:35.000,2024-09-11 20:27:12.000000,2024-09-11 20:27:12,1230.0,15.0,657.0,63.0,137.0,61.0,445.0,5972.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",42.0,34,True,2024-07-25 01:34:14.000,2.6.1,212.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,['pytorch'],,707966.0,1946.0,1896.0,https://pypi.org/project/pytorch-metric-learning,2024-07-25 01:34:14.000,50.0,707758.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,11904.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+162,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,,1368.0,284.0,6588.0,12.0,2032.0,5889.0,A flexible framework of neural networks for deep learning.,326.0,34,False,2022-06-29 08:19:03.000,7.8.1.post1,111.0,chainer,conda-forge/chainer,,,,210357.0,3375.0,3317.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,58.0,210007.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,19617.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+163,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2024-10-09 19:44:24.000000,2024-10-09 19:44:19,2431.0,44.0,649.0,95.0,273.0,489.0,563.0,5621.0,"ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline,..",101.0,34,True,2024-08-27 19:48:22.000,1.16.4,172.0,clearml,,,,2892.0,340260.0,1364.0,1324.0,https://pypi.org/project/clearml,2024-10-01 07:26:30.000,40.0,339742.0,,,,2.0,allegroai/trains,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30296.0,,,,,,,,,,,,,,,,,,,
+164,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 14:40:43.000,2024-10-07 20:31:19.000000,2024-10-07 20:28:33,12403.0,58.0,1156.0,98.0,1385.0,140.0,758.0,4800.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",138.0,34,True,2024-10-02 21:30:21.000,1.18.2,61.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,43546.0,618.0,598.0,https://pypi.org/project/adversarial-robustness-toolbox,2024-10-02 21:24:21.000,20.0,42572.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2024-10-03 01:54:09.200,49675.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+165,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2024-10-08 19:10:13.000000,2024-10-08 19:10:13,1186.0,26.0,627.0,125.0,934.0,350.0,1095.0,4372.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",178.0,34,True,2024-09-16 20:50:54.000,8.0,50.0,coremltools,conda-forge/coremltools,,,11722.0,405939.0,4252.0,4171.0,https://pypi.org/project/coremltools,2024-09-16 21:06:12.000,81.0,404323.0,https://anaconda.org/conda-forge/coremltools,2023-06-16 19:23:14.592,71007.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+166,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2024-10-10 06:57:48.000000,2024-10-10 06:55:05,1330.0,33.0,274.0,40.0,479.0,100.0,239.0,3903.0,Lightning fast forecasting with statistical and econometric models.,46.0,34,True,2024-09-19 21:41:21.000,1.7.8,37.0,statsforecast,conda-forge/statsforecast,,,,676328.0,1206.0,1149.0,https://pypi.org/project/statsforecast,2024-09-19 21:39:13.000,57.0,673177.0,https://anaconda.org/conda-forge/statsforecast,2024-09-23 21:39:04.210,97689.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+167,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2024-10-10 14:49:50.000000,2024-10-10 13:57:46,3445.0,245.0,358.0,29.0,3280.0,123.0,2013.0,3861.0,Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets.,96.0,34,True,2024-10-08 09:45:50.000,2.3.1,100.0,rubrix,conda-forge/rubrix,,,,2905.0,2740.0,2740.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,1830.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,36564.0,2.0,,,,,,argilla-io/argilla,,,,,,,,,,,,,,,,,,
+168,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2024-10-07 15:31:41.000000,2024-10-07 15:27:57,2013.0,95.0,390.0,51.0,1758.0,65.0,467.0,3075.0,Bayesian optimization in PyTorch.,131.0,34,True,2024-09-17 16:43:01.000,0.12.0,47.0,botorch,conda-forge/botorch,,['pytorch'],,200322.0,1256.0,1172.0,https://pypi.org/project/botorch,2024-09-17 16:43:01.000,84.0,197810.0,https://anaconda.org/conda-forge/botorch,2024-09-20 23:53:13.019,125619.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+169,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2024-10-10 15:01:49.000000,2024-10-10 11:57:31,1106.0,38.0,448.0,56.0,1292.0,414.0,422.0,2511.0,Accelerate training and inference of Transformers and Diffusers with easy to use hardware optimization tools.,126.0,34,True,2024-10-10 11:52:00.000,1.23.0,71.0,optimum,conda-forge/optimum,,,,955520.0,3714.0,3543.0,https://pypi.org/project/optimum,2024-10-10 11:24:39.000,171.0,954709.0,https://anaconda.org/conda-forge/optimum,2024-05-29 19:43:21.254,24351.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+170,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2024-10-09 15:13:19.000000,2024-10-09 15:11:49,5299.0,81.0,547.0,19.0,1403.0,1134.0,686.0,2250.0,"This is the development home of the workflow management system Snakemake. For general information, see.",342.0,34,True,2024-10-07 14:34:19.000,8.20.6,359.0,snakemake,bioconda/snakemake,,,,133506.0,2333.0,2102.0,https://pypi.org/project/snakemake,2024-10-07 14:34:19.000,231.0,122523.0,https://anaconda.org/bioconda/snakemake,2024-10-07 18:27:45.938,1186172.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+171,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2024-09-07 01:20:44.000000,2024-09-07 01:20:42,565.0,11.0,157.0,42.0,80.0,7.0,130.0,2049.0,a python library for doing approximate and phonetic matching of strings.,32.0,34,True,2024-07-28 08:19:05.000,1.1.0,44.0,jellyfish,conda-forge/jellyfish,,,,5822623.0,11031.0,10762.0,https://pypi.org/project/jellyfish,2024-07-28 08:19:05.000,269.0,5802770.0,https://anaconda.org/conda-forge/jellyfish,2024-09-06 22:00:00.405,1032397.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+172,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2024-05-13 18:30:44.000000,2024-05-13 18:28:50,1241.0,,209.0,32.0,47.0,13.0,169.0,1629.0,Simple Python interface for Graphviz.,23.0,34,True,2024-03-21 07:50:43.000,0.20.3,58.0,graphviz,anaconda/python-graphviz,,,,16660307.0,76691.0,74072.0,https://pypi.org/project/graphviz,2024-03-21 07:50:43.000,2619.0,16659758.0,https://anaconda.org/anaconda/python-graphviz,2024-04-08 21:04:04.101,49431.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+173,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2024-09-28 14:28:05.000000,2024-09-28 14:28:05,1953.0,49.0,288.0,45.0,287.0,58.0,213.0,1547.0,TensorLy: Tensor Learning in Python.,69.0,34,True,2024-06-09 17:29:20.000,0.8.2,20.0,tensorly,conda-forge/tensorly,,,,116941.0,862.0,770.0,https://pypi.org/project/tensorly,2023-03-08 01:09:02.237,92.0,109265.0,https://anaconda.org/conda-forge/tensorly,2024-06-10 02:35:16.323,368478.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+174,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,BSD-3-Clause,2012-08-03 07:43:59.000,2024-10-09 19:25:52.000000,2024-10-08 21:39:20,3089.0,29.0,362.0,55.0,1199.0,316.0,972.0,1417.0,Cartopy - a cartographic python library with matplotlib support.,128.0,34,True,2024-10-08 23:24:50.000,0.24.1,32.0,cartopy,conda-forge/cartopy,,,,428542.0,6483.0,5765.0,https://pypi.org/project/cartopy,2024-10-08 23:24:50.000,718.0,351251.0,https://anaconda.org/conda-forge/cartopy,2024-10-07 23:20:51.384,4096448.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+175,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2024-10-01 11:37:22.000000,2024-10-01 11:37:17,1873.0,7.0,200.0,33.0,214.0,26.0,403.0,1400.0,The ctypes-based simple ImageMagick binding for Python.,106.0,34,True,2023-11-04 01:41:17.000,0.6.13,56.0,wand,conda-forge/wand,,,50347.0,951399.0,19985.0,19728.0,https://pypi.org/project/wand,2023-11-03 23:18:50.000,257.0,949447.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,77095.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+176,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2024-10-07 13:07:02.000000,2024-09-27 00:45:22,2904.0,32.0,247.0,35.0,227.0,48.0,510.0,1294.0,Python interface for igraph.,75.0,34,False,2024-07-08 23:38:30.000,0.11.6,42.0,python-igraph,conda-forge/igraph,,,564897.0,855730.0,4542.0,4145.0,https://pypi.org/project/python-igraph,2024-07-08 23:38:30.000,397.0,837503.0,https://anaconda.org/conda-forge/igraph,2024-06-28 12:12:37.634,610935.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+177,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2024-09-30 23:37:10.000000,2024-09-05 06:54:23,889.0,6.0,340.0,42.0,1054.0,190.0,170.0,1220.0,Making text a first-class citizen in TensorFlow.,117.0,34,True,2024-07-15 22:42:38.000,2.17.0,72.0,tensorflow-text,,,['tensorflow'],,7662492.0,7632.0,7416.0,https://pypi.org/project/tensorflow-text,2024-09-30 23:25:49.000,216.0,7662492.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+178,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,libpng-2.0,2018-08-02 17:56:45.000,2024-10-10 14:02:03.000000,2024-10-09 09:19:17,18679.0,192.0,4815.0,401.0,5403.0,193.0,3808.0,26532.0,The platform for building AI from enterprise data.,845.0,33,False,2024-10-08 16:12:07.000,24.10.2.0,491.0,mindsdb,,,['pytorch'],,29150.0,,,https://pypi.org/project/mindsdb,2024-10-08 16:13:16.000,,29150.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+179,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2024-10-10 14:53:26.000000,2024-10-10 14:52:05,6272.0,1225.0,2873.0,272.0,6141.0,118.0,632.0,26479.0,You like pytorch? You like micrograd? You love tinygrad!.,343.0,33,True,2024-08-13 23:19:48.000,0.9.2,8.0,,,,['pytorch'],,,110.0,110.0,,,,,,,,1.0,,,,,,tinygrad/tinygrad,,,,,,,,,,,,,,,,,,
+180,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2024-10-10 12:48:54.000000,2024-10-08 12:33:47,3373.0,356.0,1361.0,122.0,3686.0,308.0,998.0,20094.0,"Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud..",122.0,33,True,2024-10-08 18:44:58.000,1.12.0,84.0,,,,,209919.0,4998.0,114.0,114.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+181,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,,3461.0,465.0,671.0,590.0,672.0,15398.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,33,False,2020-06-17 16:31:34.798,1.15.7,79.0,tensor2tensor,,,['tensorflow'],,9157.0,1524.0,1510.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:31:34.798,14.0,9157.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+182,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2024-10-08 00:31:52.000000,2024-08-21 07:05:41,3857.0,3.0,1185.0,194.0,2866.0,361.0,766.0,11125.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",157.0,33,True,2024-07-30 00:29:49.000,0.10.4,56.0,ludwig,,,['tensorflow'],,4802.0,279.0,273.0,https://pypi.org/project/ludwig,2024-07-30 00:29:49.000,6.0,4802.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+183,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2024-10-09 21:42:24.000000,2024-10-09 21:38:42,1179.0,14.0,1270.0,148.0,178.0,265.0,1341.0,8718.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,150.0,33,False,2024-09-13 14:37:23.000,V0.7.8,19.0,pytorch3d,pytorch3d/pytorch3d,,['pytorch'],,12611.0,992.0,978.0,https://pypi.org/project/pytorch3d,2022-04-28 15:53:26.000,14.0,8325.0,https://anaconda.org/pytorch3d/pytorch3d,2024-09-13 14:58:15.228,252910.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+184,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2024-10-10 12:33:36.000000,2024-10-10 12:33:36,2936.0,16.0,1681.0,92.0,1684.0,236.0,1887.0,8614.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",131.0,33,True,2023-10-18 03:54:18.000,2.9.0,19.0,paddleseg,,,['paddle'],,1480.0,1293.0,1286.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,7.0,1480.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+185,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2024-10-07 03:57:15.000000,2024-10-06 03:56:47,6097.0,90.0,1169.0,122.0,1721.0,101.0,706.0,8398.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",94.0,33,True,2024-09-23 15:44:54.000,3.1.0,131.0,perspective-python,conda-forge/perspective,,['jupyter'],5228.0,52632.0,178.0,146.0,https://pypi.org/project/perspective-python,2024-09-23 15:44:54.000,26.0,24462.0,https://anaconda.org/conda-forge/perspective,2024-09-21 14:46:30.468,1219146.0,2.0,,,,,,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2024-09-23 15:43:29.269,6.0,4377.0,,,,,,,,,,,
+186,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2024-08-13 19:06:58.000000,2024-08-13 19:06:55,544.0,1.0,2389.0,283.0,159.0,325.0,319.0,8369.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",51.0,33,True,2024-05-05 04:42:09.000,3.10.4,59.0,SpeechRecognition,conda-forge/speechrecognition,,,,1117899.0,599.0,21.0,https://pypi.org/project/SpeechRecognition,2024-05-05 04:36:10.000,578.0,1113817.0,https://anaconda.org/conda-forge/speechrecognition,2024-05-06 02:00:59.322,204126.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+187,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2024-09-03 22:18:55.000000,2023-11-12 14:28:03,528.0,,865.0,84.0,276.0,81.0,376.0,7863.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",82.0,33,True,2023-07-30 14:05:26.000,2.6.2,24.0,tensorboardX,conda-forge/tensorboardx,,,447.0,3241077.0,49519.0,48894.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,625.0,3217164.0,https://anaconda.org/conda-forge/tensorboardx,2023-08-20 16:29:43.490,1219347.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+188,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2024-08-18 00:48:19.000000,2024-08-18 00:48:18,1815.0,12.0,796.0,127.0,285.0,473.0,337.0,7397.0,Uniform Manifold Approximation and Projection.,134.0,33,True,2024-04-03 16:53:16.000,0.5.6,40.0,umap-learn,conda-forge/umap-learn,,,,1414224.0,959.0,1.0,https://pypi.org/project/umap-learn,2024-04-03 16:53:16.000,958.0,1363449.0,https://anaconda.org/conda-forge/umap-learn,2024-08-14 17:32:09.484,2640311.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+189,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2024-10-07 18:05:03.000000,2024-06-21 13:43:40,1379.0,,874.0,158.0,1731.0,150.0,865.0,7230.0,An open source python library for automated feature engineering.,73.0,33,True,2024-05-14 18:59:58.000,1.31.0,106.0,featuretools,conda-forge/featuretools,,,,73878.0,1863.0,1789.0,https://pypi.org/project/featuretools,2024-05-14 18:59:58.000,74.0,69862.0,https://anaconda.org/conda-forge/featuretools,2024-05-15 15:26:44.535,208880.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+190,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2024-10-08 00:38:04.000000,2024-09-25 17:28:01,1221.0,1.0,1051.0,121.0,277.0,143.0,513.0,7223.0,Distributed Asynchronous Hyperparameter Optimization in Python.,104.0,33,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,2417340.0,17642.0,17189.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,453.0,2406495.0,https://anaconda.org/conda-forge/hyperopt,2023-06-16 16:14:11.076,791714.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+191,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2024-10-08 01:00:43.000000,2024-10-08 01:00:39,3284.0,9.0,959.0,136.0,666.0,54.0,1161.0,7071.0,Python library for audio and music analysis.,123.0,33,True,2024-05-14 15:48:50.000,0.10.2.post1,43.0,librosa,conda-forge/librosa,,,,2850984.0,1358.0,,https://pypi.org/project/librosa,2024-05-14 15:49:38.000,1358.0,2834969.0,https://anaconda.org/conda-forge/librosa,2024-05-15 16:59:32.016,816790.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+192,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 05:08:26.000,2024-10-06 21:08:11.000000,2024-10-06 21:08:11,869.0,4.0,1277.0,141.0,504.0,47.0,566.0,6819.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,85.0,33,True,2024-10-04 17:52:31.000,0.12.4,38.0,imbalanced-learn,conda-forge/imbalanced-learn,,['sklearn'],,17187885.0,452.0,,https://pypi.org/project/imbalanced-learn,2024-10-04 17:00:52.000,452.0,17175969.0,https://anaconda.org/conda-forge/imbalanced-learn,2024-10-04 17:49:36.866,619659.0,1.0,,,,,,,-2.0,,,,,,,,,,,,,,,,,
+193,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 07:59:50.000,2024-10-10 07:44:36.000000,2024-10-10 07:44:36,3502.0,355.0,1254.0,250.0,9595.0,987.0,1588.0,6574.0,"Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, Phi, MiniCPM,..",108.0,33,True,2024-08-22 09:06:57.000,2.1.0,869.0,bigdl,,,,639.0,54102.0,7.0,,https://pypi.org/project/bigdl,2024-03-24 14:04:20.000,2.0,54095.0,,,,2.0,,,,,,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,,,
+194,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2024-10-10 07:08:33.000000,2024-10-10 05:08:10,3409.0,174.0,725.0,144.0,124.0,107.0,342.0,6248.0,Fit interpretable models. Explain blackbox machine learning.,46.0,33,True,2024-09-28 21:45:37.000,0.6.4,52.0,interpret,,,['jupyter'],,97537.0,808.0,759.0,https://pypi.org/project/interpret,2024-09-28 19:03:14.000,49.0,97537.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+195,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2024-09-03 13:46:04.210000,2024-05-07 13:49:33,2334.0,,1123.0,190.0,238.0,279.0,285.0,5800.0,Distributed Evolutionary Algorithms in Python.,88.0,33,False,2023-07-21 10:51:54.000,1.4.1,27.0,deap,conda-forge/deap,,,,351009.0,5556.0,5304.0,https://pypi.org/project/deap,2023-07-21 10:51:54.000,252.0,341770.0,https://anaconda.org/conda-forge/deap,2024-09-03 13:46:04.210,443502.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+196,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2024-09-26 22:44:27.000000,2024-09-26 22:36:43,1136.0,34.0,483.0,267.0,819.0,230.0,338.0,4859.0,Model interpretability and understanding for PyTorch.,119.0,33,True,2023-12-05 09:21:02.000,0.7.0,10.0,captum,conda-forge/captum,,['pytorch'],,258270.0,2551.0,2425.0,https://pypi.org/project/captum,2023-12-05 08:32:04.000,126.0,256129.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,72794.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+197,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2024-08-14 15:31:25.000000,2023-11-23 21:41:49,1136.0,,644.0,89.0,271.0,41.0,253.0,4447.0,Geocoding library for Python.,133.0,33,True,2023-11-23 21:50:14.000,2.4.1,61.0,geopy,conda-forge/geopy,,,84.0,6294943.0,901.0,,https://pypi.org/project/geopy,2023-11-23 21:49:30.000,901.0,6266778.0,https://anaconda.org/conda-forge/geopy,2024-02-28 17:12:19.096,1464595.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+198,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,Apache-2.0,2012-08-24 16:14:59.000,2024-10-10 02:24:26.000000,2024-10-10 02:24:06,654.0,33.0,119.0,75.0,75.0,13.0,132.0,3788.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",20.0,33,True,2024-08-06 01:36:27.000,6.2.3,53.0,ftfy,conda-forge/ftfy,,,15.0,5555463.0,23798.0,23235.0,https://pypi.org/project/ftfy,2024-08-06 01:30:44.000,563.0,5548754.0,https://anaconda.org/conda-forge/ftfy,2024-08-06 18:05:02.848,301907.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+199,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2024-09-16 01:55:17.000000,2024-09-16 01:55:17,1355.0,14.0,316.0,59.0,244.0,66.0,446.0,3644.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,41.0,33,True,2024-07-09 04:43:23.000,1.13.0,29.0,stumpy,conda-forge/stumpy,,,,290021.0,926.0,896.0,https://pypi.org/project/stumpy,2024-07-09 04:21:56.000,30.0,270281.0,https://anaconda.org/conda-forge/stumpy,2024-07-09 04:54:55.949,1026494.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+200,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2024-10-10 06:47:05.000000,2024-10-10 06:47:04,1526.0,9.0,363.0,90.0,770.0,136.0,449.0,3307.0,Quickly and accurately render even the largest data.,56.0,33,True,2024-07-04 16:40:09.000,0.16.3,51.0,datashader,conda-forge/datashader,,,,168223.0,5052.0,4856.0,https://pypi.org/project/datashader,2024-07-04 12:26:22.000,196.0,146450.0,https://anaconda.org/conda-forge/datashader,2024-07-08 10:48:31.985,1154003.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+201,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 13:32:37.000,2024-10-08 14:15:10.522000,2024-10-08 01:20:27,1031.0,16.0,497.0,56.0,145.0,360.0,171.0,2782.0,A high performance implementation of HDBSCAN clustering.,92.0,33,True,2024-10-08 01:50:20.000,release-0.8.38.post2,55.0,hdbscan,conda-forge/hdbscan,,['sklearn'],,665612.0,4437.0,4105.0,https://pypi.org/project/hdbscan,2024-10-08 01:35:17.000,332.0,620590.0,https://anaconda.org/conda-forge/hdbscan,2024-10-08 14:15:10.522,2161095.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+202,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 21:10:54.000,2024-06-05 12:17:25.116000,2021-10-12 13:32:38,1570.0,,545.0,63.0,546.0,322.0,393.0,2740.0,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,33,False,2024-06-04 19:12:54.000,0.10.2,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,1005789.0,7001.0,6633.0,https://pypi.org/project/scikit-optimize,2024-06-04 19:12:54.000,368.0,990876.0,https://anaconda.org/conda-forge/scikit-optimize,2024-06-05 12:17:25.116,745676.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+203,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2024-10-02 07:53:20.000000,2024-10-02 07:53:08,3010.0,36.0,698.0,74.0,905.0,293.0,633.0,2710.0,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",127.0,33,True,2024-08-09 17:03:45.000,0.1.26,26.0,pgmpy,,,,537.0,121101.0,1240.0,1187.0,https://pypi.org/project/pgmpy,2024-08-09 16:48:04.000,53.0,121091.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+204,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 08:02:14.000,2024-09-23 11:42:47.000000,2024-09-23 11:42:47,3754.0,36.0,192.0,49.0,1386.0,133.0,734.0,1996.0,Ahead of Time compiler for numeric kernels.,73.0,33,True,2024-05-28 05:22:14.000,0.16.1,61.0,pythran,conda-forge/pythran,,,,218156.0,2690.0,2671.0,https://pypi.org/project/pythran,2024-05-28 05:22:14.000,19.0,203409.0,https://anaconda.org/conda-forge/pythran,2024-09-03 03:38:51.615,722622.0,2.0,,,,,,,,,,,,,,,,,,,,,,pythran,python-pythran,
+205,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2024-08-17 22:59:08.823000,2024-07-30 13:52:24,1606.0,12.0,285.0,56.0,142.0,83.0,191.0,1833.0,"CUDA integration for Python, plus shiny features.",82.0,33,True,2024-07-30 16:38:24.000,2024.1.2,55.0,pycuda,conda-forge/pycuda,,,,109090.0,3302.0,3145.0,https://pypi.org/project/pycuda,2024-07-30 13:53:42.000,157.0,95463.0,https://anaconda.org/conda-forge/pycuda,2024-08-17 22:59:08.823,585990.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+206,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2024-08-21 06:38:39.000000,2024-07-22 07:57:37,1193.0,4.0,363.0,67.0,616.0,292.0,359.0,1486.0,A Jupyter - Leaflet.js bridge.,90.0,33,True,2024-07-22 08:02:59.000,0.19.2,84.0,ipyleaflet,conda-forge/ipyleaflet,,['jupyter'],,315077.0,11873.0,11589.0,https://pypi.org/project/ipyleaflet,2024-07-22 08:02:59.000,275.0,283706.0,https://anaconda.org/conda-forge/ipyleaflet,2024-07-22 12:26:50.743,1268226.0,2.0,,,,,,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2024-07-22 08:02:28.803,9.0,7443.0,,,,,,,,,,,
+207,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2024-07-30 07:34:33.171000,2024-07-30 00:56:56,1557.0,2.0,155.0,40.0,133.0,4.0,644.0,1172.0,A Python data analysis library that is optimized for humans instead of machines.,53.0,33,True,2024-07-30 00:58:25.000,1.12.0,37.0,agate,conda-forge/agate,,,,10664116.0,3896.0,3847.0,https://pypi.org/project/agate,2024-07-30 00:58:25.000,49.0,10658271.0,https://anaconda.org/conda-forge/agate,2024-07-30 07:34:33.171,239655.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+208,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2024-10-09 14:33:07.000000,2024-10-09 14:32:25,323.0,15.0,2998.0,152.0,54.0,134.0,141.0,19987.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",21.0,32,True,2024-10-09 14:33:07.000,1.8.1,204.0,vit-pytorch,,,['pytorch'],,21764.0,547.0,534.0,https://pypi.org/project/vit-pytorch,2024-10-09 14:33:07.000,13.0,21764.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+209,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,,4706.0,1011.0,1869.0,363.0,658.0,17587.0,"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,,,,3802.0,1021.0,1011.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,10.0,3623.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,8773.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+210,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2024-07-25 20:32:21.000000,2021-07-29 23:17:25,531.0,,1795.0,261.0,117.0,120.0,535.0,11557.0,Lime: Explaining the predictions of any machine learning classifier.,62.0,32,False,2020-04-03 22:05:03.000,0.2.0.0,39.0,lime,conda-forge/lime,,,,369336.0,6644.0,6441.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,203.0,366881.0,https://anaconda.org/conda-forge/lime,2023-06-16 13:18:57.655,230804.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+211,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,,1135.0,339.0,1683.0,523.0,1294.0,11196.0,Turi Create simplifies the development of custom machine learning models.,87.0,32,False,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,10739.0,17833.0,381.0,376.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,5.0,17703.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+212,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,,2091.0,283.0,3401.0,51.0,1494.0,10479.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,218.0,32,True,2023-06-06 20:46:16.091,1.7.2,25.0,parlai,,,['pytorch'],,3843.0,261.0,256.0,https://pypi.org/project/parlai,2022-09-20 02:56:01.305,5.0,3843.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+213,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2024-09-16 13:29:20.331000,2024-09-15 17:01:45,578.0,2.0,2312.0,217.0,251.0,129.0,417.0,10116.0,A little word cloud generator in Python.,72.0,32,True,2023-12-09 14:04:35.000,1.9.3,20.0,wordcloud,conda-forge/wordcloud,,,,1673298.0,552.0,21.0,https://pypi.org/project/wordcloud,2023-12-09 14:04:35.000,531.0,1662622.0,https://anaconda.org/conda-forge/wordcloud,2024-09-16 13:29:20.331,544508.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+214,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2024-10-01 18:34:33.000000,2024-04-08 20:21:10,864.0,,1289.0,422.0,89.0,32.0,161.0,9760.0,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'],,22338.0,1363.0,1344.0,https://pypi.org/project/dm-sonnet,2024-01-02 11:15:06.000,19.0,21757.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,34284.0,3.0,,,,,,google-deepmind/sonnet,,,,,,,,,,,,,,,,,,
+215,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2024-08-04 02:13:02.666000,2024-08-03 20:47:58,560.0,6.0,1206.0,170.0,436.0,68.0,474.0,8390.0,Automatic extraction of relevant features from time series:.,97.0,32,True,2024-08-03 20:51:43.000,0.20.3,32.0,tsfresh,conda-forge/tsfresh,,['sklearn'],,265533.0,114.0,21.0,https://pypi.org/project/tsfresh,2024-08-03 20:51:43.000,93.0,239257.0,https://anaconda.org/conda-forge/tsfresh,2024-08-04 02:13:02.666,1392650.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+216,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2024-06-27 17:56:28.000000,2024-06-27 17:56:21,2895.0,,2243.0,177.0,1152.0,27.0,1429.0,6738.0,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,191.0,32,True,2024-03-18 14:02:12.000,3.5.1,50.0,OpenNMT-py,,,['pytorch'],,9804.0,314.0,291.0,https://pypi.org/project/OpenNMT-py,2024-03-18 14:02:12.000,23.0,9804.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+217,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,,1813.0,196.0,206.0,13.0,1343.0,6297.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,32,False,2020-04-24 19:04:45.487,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,['tensorflow'],184.0,14276.0,1624.0,1606.0,https://pypi.org/project/tensorpack,2021-01-22 19:59:12.425,18.0,13955.0,https://anaconda.org/conda-forge/tensorpack,2023-06-16 19:27:42.012,11497.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+218,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2024-10-07 16:58:48.000000,2024-10-07 16:58:46,205.0,21.0,1083.0,198.0,148.0,151.0,339.0,6176.0,Official Kaggle API.,47.0,32,True,2024-07-24 19:08:19.000,1.6.17,74.0,kaggle,conda-forge/kaggle,,,,224375.0,230.0,21.0,https://pypi.org/project/kaggle,2024-07-24 19:08:19.000,209.0,220630.0,https://anaconda.org/conda-forge/kaggle,2024-07-27 21:52:01.276,183514.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+219,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2024-10-09 20:10:42.000000,2024-10-02 16:35:21,2213.0,16.0,315.0,45.0,2189.0,375.0,664.0,5175.0,Aim An easy-to-use & supercharged open-source experiment tracker.,76.0,32,True,2024-10-02 17:28:03.000,3.25.0,1120.0,aim,conda-forge/aim,,,,350856.0,734.0,696.0,https://pypi.org/project/aim,2024-10-09 20:10:42.000,38.0,348813.0,https://anaconda.org/conda-forge/aim,2024-06-14 16:22:37.168,79679.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+220,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2024-10-03 19:31:42.000000,2024-10-03 19:24:18,3913.0,30.0,537.0,82.0,603.0,114.0,495.0,5036.0,Online machine learning in Python.,121.0,32,True,2024-07-09 19:24:30.000,0.21.2,22.0,river,conda-forge/river,,,,80414.0,626.0,570.0,https://pypi.org/project/river,2024-07-09 19:24:30.000,56.0,78483.0,https://anaconda.org/conda-forge/river,2023-10-06 14:40:00.791,81135.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+221,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2024-07-02 00:51:45.000000,2024-07-02 00:51:45,1646.0,,858.0,116.0,530.0,149.0,342.0,4875.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,107.0,32,True,2024-01-05 09:13:47.000,0.23.1,52.0,mlxtend,conda-forge/mlxtend,,['sklearn'],,613880.0,15594.0,15413.0,https://pypi.org/project/mlxtend,2024-01-05 09:13:47.000,181.0,607519.0,https://anaconda.org/conda-forge/mlxtend,2024-01-05 18:58:45.309,324417.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+222,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2024-08-11 18:38:37.000000,2024-06-17 19:23:44,491.0,,619.0,65.0,223.0,223.0,162.0,4319.0,Header-only C++/python library for fast approximate nearest neighbors.,72.0,32,True,2023-12-03 04:16:17.000,0.8.0,11.0,hnswlib,conda-forge/hnswlib,,,,989617.0,7152.0,7018.0,https://pypi.org/project/hnswlib,2023-12-03 04:16:17.000,134.0,984433.0,https://anaconda.org/conda-forge/hnswlib,2023-09-27 14:20:16.958,238471.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+223,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2024-08-26 09:23:15.000000,2024-08-26 09:20:38,1348.0,4.0,380.0,69.0,371.0,102.0,460.0,4233.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",105.0,32,True,2024-08-26 09:23:15.000,0.8.6,30.0,sacred,conda-forge/sacred,,,,209009.0,3268.0,3208.0,https://pypi.org/project/sacred,2024-08-26 09:23:15.000,60.0,208820.0,https://anaconda.org/conda-forge/sacred,2023-11-28 14:54:27.704,6635.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+224,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2024-10-07 02:25:19.000000,2024-08-15 14:20:30,3331.0,10.0,548.0,120.0,382.0,72.0,743.0,4116.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",72.0,32,True,2024-08-15 14:31:34.000,3.0.3,179.0,dedupe,conda-forge/dedupe,,,,153620.0,359.0,340.0,https://pypi.org/project/dedupe,2024-08-15 14:31:34.000,19.0,151409.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,75187.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+225,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2024-10-04 07:57:04.000000,2024-10-04 07:45:46,1113.0,19.0,352.0,58.0,1379.0,121.0,184.0,3946.0,A Python toolbox for performing gradient-free optimization.,57.0,32,True,2024-09-25 16:43:58.000,1.0.5,50.0,nevergrad,conda-forge/nevergrad,,,,81607.0,809.0,751.0,https://pypi.org/project/nevergrad,2024-09-25 16:43:58.000,58.0,80583.0,https://anaconda.org/conda-forge/nevergrad,2024-01-09 16:02:07.312,54295.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+226,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/sktime/pytorch-forecasting,https://github.com/sktime/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2024-10-10 10:12:03.000000,2024-10-10 10:12:03,1904.0,113.0,620.0,42.0,904.0,476.0,305.0,3911.0,Time series forecasting with PyTorch.,53.0,32,True,2024-09-09 09:36:07.000,1.1.1,36.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,56557.0,464.0,442.0,https://pypi.org/project/pytorch-forecasting,2024-09-09 09:36:07.000,22.0,55237.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,64694.0,2.0,,,,,,sktime/pytorch-forecasting,,,,,,,,,,,,,,,,,,
+227,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2024-09-27 22:14:33.000000,2024-09-27 22:14:33,3900.0,20.0,553.0,58.0,914.0,366.0,979.0,3540.0,A highly efficient implementation of Gaussian Processes in PyTorch.,135.0,32,True,2024-09-06 21:42:56.000,1.13,41.0,gpytorch,conda-forge/gpytorch,,['pytorch'],,266604.0,2546.0,2377.0,https://pypi.org/project/gpytorch,2024-09-06 21:48:53.000,169.0,263247.0,https://anaconda.org/conda-forge/gpytorch,2024-09-07 18:14:18.267,177950.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+228,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2024-10-10 11:34:40.000000,2024-08-14 20:32:21,1311.0,2.0,813.0,306.0,1470.0,331.0,518.0,3505.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",156.0,32,True,2024-04-24 16:20:45.000,0.18.0,34.0,torchtext,,,['pytorch'],,1364311.0,285.0,,https://pypi.org/project/torchtext,2024-04-24 15:49:45.000,285.0,1364311.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+229,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2024-10-09 16:24:11.000000,2024-10-09 16:24:08,1187.0,1.0,1663.0,154.0,210.0,13.0,693.0,3473.0,A library for transfer learning by reusing parts of TensorFlow models.,107.0,32,True,2024-01-30 15:53:29.000,0.16.1,20.0,tensorflow-hub,conda-forge/tensorflow-hub,,['tensorflow'],,1943980.0,303.0,,https://pypi.org/project/tensorflow-hub,2024-01-30 14:49:07.000,303.0,1941863.0,https://anaconda.org/conda-forge/tensorflow-hub,2024-05-07 05:39:07.350,105865.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+230,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2024-09-21 03:01:04.000000,2024-09-21 03:01:04,1581.0,21.0,447.0,93.0,126.0,91.0,348.0,3391.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,49.0,32,True,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,230544.0,1283.0,1220.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,63.0,227448.0,https://anaconda.org/conda-forge/nmslib,2024-09-09 06:18:10.925,148636.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+231,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2024-08-30 20:15:08.000000,2024-05-03 16:54:19,704.0,,276.0,46.0,828.0,102.0,285.0,3168.0,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'],,550012.0,6591.0,6438.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,153.0,541271.0,https://anaconda.org/conda-forge/fairscale,2023-11-28 00:29:10.363,305937.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+232,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2024-10-10 12:04:09.000000,2024-10-10 09:19:45,1267.0,63.0,267.0,29.0,1121.0,72.0,498.0,3118.0,A python library for self-supervised learning on images.,53.0,32,True,2024-09-24 08:48:24.000,1.5.13,127.0,lightly,,,['pytorch'],,34804.0,335.0,321.0,https://pypi.org/project/lightly,2024-09-24 08:50:32.000,14.0,34804.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+233,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 19:32:37.000,2024-10-02 13:16:06.886000,2024-10-01 21:19:30,966.0,9.0,393.0,38.0,151.0,46.0,248.0,2405.0,A library of sklearn compatible categorical variable encoders.,70.0,32,True,2024-10-01 21:24:24.000,2.6.4,33.0,category_encoders,conda-forge/category_encoders,,['sklearn'],,1363638.0,2473.0,2189.0,https://pypi.org/project/category_encoders,2024-10-01 21:24:24.000,284.0,1355758.0,https://anaconda.org/conda-forge/category_encoders,2024-10-02 13:16:06.886,283692.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+234,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2024-09-05 19:07:36.000000,2024-09-05 19:07:36,2302.0,2.0,551.0,70.0,486.0,260.0,710.0,2350.0,Survival analysis in Python.,119.0,32,True,2024-06-26 15:36:45.000,0.29.0,171.0,lifelines,conda-forge/lifelines,,,,1175275.0,3115.0,2965.0,https://pypi.org/project/lifelines,2024-06-26 15:36:45.000,150.0,1168282.0,https://anaconda.org/conda-forge/lifelines,2024-06-27 16:03:16.815,370667.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+235,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2024-10-10 10:51:35.000000,2024-10-10 02:35:10,1747.0,238.0,205.0,50.0,280.0,172.0,163.0,2136.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",45.0,32,True,2024-10-10 00:18:57.000,0.34.14,191.0,graphistry,,,['jupyter'],,9867.0,125.0,119.0,https://pypi.org/project/graphistry,2024-10-10 00:18:57.000,6.0,9867.0,,,,2.0,,,,,,,2.0,,,,,,,,,,,,,,,,,
+236,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2024-09-17 00:19:55.000000,2024-09-17 00:19:55,953.0,9.0,252.0,47.0,349.0,210.0,141.0,1988.0,Evaluate: A library for easily evaluating machine learning models and datasets.,129.0,32,True,2024-09-11 10:17:30.000,0.4.3,16.0,evaluate,,,,,2464507.0,13408.0,13005.0,https://pypi.org/project/evaluate,2024-09-11 10:15:30.000,403.0,2464507.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+237,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2024-10-10 11:34:47.000000,2024-10-10 01:41:26,2158.0,196.0,419.0,32.0,2304.0,301.0,118.0,1893.0,Pytorch domain library for recommendation systems.,276.0,32,True,2024-07-23 18:00:18.000,0.8.0,77.0,torchrec-nightly-cpu,,,,,9152.0,144.0,144.0,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,9152.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+238,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2024-09-03 20:56:01.000000,2024-04-15 22:25:34,1519.0,,610.0,57.0,1884.0,90.0,899.0,1691.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,207.0,32,True,2023-11-28 01:45:31.000,0.23.0,38.0,tensorflow-addons,,,['tensorflow'],,1182367.0,363.0,,https://pypi.org/project/tensorflow-addons,2023-11-28 01:45:31.000,363.0,1182367.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+239,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2024-09-25 16:29:21.000000,2024-09-25 16:23:34,731.0,15.0,331.0,46.0,384.0,72.0,234.0,1686.0,Training PyTorch models with differential privacy.,81.0,32,True,2024-08-03 10:32:52.000,1.5.2,24.0,opacus,conda-forge/opacus,,['pytorch'],124.0,218030.0,915.0,879.0,https://pypi.org/project/opacus,2024-08-03 10:32:52.000,36.0,217497.0,https://anaconda.org/conda-forge/opacus,2024-08-05 12:31:17.057,17526.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+240,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,,284.0,51.0,158.0,114.0,218.0,1619.0,Python Geocoder.,73.0,32,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,887767.0,11765.0,11553.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,212.0,886126.0,https://anaconda.org/conda-forge/geocoder,2023-06-16 13:21:27.128,151048.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,geocoder
+241,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2024-10-07 15:49:46.000000,2024-10-07 15:49:42,4366.0,68.0,303.0,79.0,671.0,17.0,634.0,1322.0,PySAL: Python Spatial Analysis Library Meta-Package.,79.0,32,True,2024-07-30 17:42:50.000,24.07,41.0,pysal,conda-forge/pysal,,,,57814.0,1712.0,1663.0,https://pypi.org/project/pysal,2024-07-30 17:42:53.000,49.0,46471.0,https://anaconda.org/conda-forge/pysal,2024-07-30 21:31:48.610,578505.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+242,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2024-10-09 14:52:43.000000,2024-10-09 09:12:50,721.0,30.0,108.0,25.0,579.0,357.0,451.0,1112.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",49.0,32,True,2024-09-27 16:52:43.000,0.11.0,76.0,hvplot,conda-forge/hvplot,,,,238230.0,6101.0,5899.0,https://pypi.org/project/hvplot,2024-09-27 13:31:34.000,202.0,225726.0,https://anaconda.org/conda-forge/hvplot,2024-09-30 07:58:27.071,650241.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+243,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2024-10-09 16:52:45.000000,2024-10-09 16:52:44,3382.0,17.0,239.0,50.0,410.0,74.0,279.0,1059.0,"OpenCL integration for Python, plus shiny features.",96.0,32,True,2024-06-25 02:02:14.000,2024.2.7,102.0,pyopencl,conda-forge/pyopencl,,,,107558.0,2214.0,2041.0,https://pypi.org/project/pyopencl,2024-06-25 02:02:14.000,173.0,82441.0,https://anaconda.org/conda-forge/pyopencl,2024-06-26 04:14:07.618,1306119.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+244,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2024-10-09 08:05:34.000000,2024-10-09 08:05:34,14009.0,230.0,290.0,34.0,1862.0,482.0,667.0,1057.0,Python package for earth-observing satellite data processing.,163.0,32,False,2024-08-15 13:27:18.000,0.51.0,96.0,satpy,conda-forge/satpy,,,,13668.0,177.0,147.0,https://pypi.org/project/satpy,2024-08-15 13:27:18.000,30.0,9368.0,https://anaconda.org/conda-forge/satpy,2024-08-15 19:19:25.115,223634.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+245,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2024-10-09 18:53:09.000000,2024-10-08 17:19:00,11574.0,47.0,243.0,56.0,12298.0,255.0,2213.0,976.0,Cloud-native genomic dataframes and batch computing.,95.0,32,True,2024-10-04 20:34:16.000,0.2.133,155.0,hail,,,['spark'],,37331.0,178.0,144.0,https://pypi.org/project/hail,2024-10-04 20:34:16.000,34.0,37331.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+246,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2024-10-09 08:40:32.000000,2024-10-09 08:40:29,1965.0,15.0,234.0,18.0,301.0,53.0,285.0,875.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",48.0,32,True,2024-08-19 16:35:23.000,1.5.1,49.0,salib,conda-forge/salib,,,,498395.0,1400.0,1273.0,https://pypi.org/project/salib,2024-08-19 16:35:23.000,127.0,494556.0,https://anaconda.org/conda-forge/salib,2024-09-20 11:56:36.472,184303.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+247,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,,2010-02-06 11:43:08.000,2024-10-10 12:43:23.000000,2024-10-10 12:43:23,14480.0,280.0,434.0,54.0,2222.0,191.0,802.0,707.0,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",164.0,32,False,2024-03-08 22:14:36.000,1.9.0,28.0,dipy,conda-forge/dipy,,,,49363.0,1372.0,1249.0,https://pypi.org/project/dipy,2024-03-08 22:14:36.000,123.0,38921.0,https://anaconda.org/conda-forge/dipy,2024-03-10 04:37:57.447,511683.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+248,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2024-08-04 12:17:57.000000,2023-07-13 08:50:20,531.0,,2810.0,387.0,123.0,239.0,561.0,25723.0,Deezer source separation library including pretrained models.,19.0,31,False,2023-07-10 10:07:01.047,2.4.0,37.0,spleeter,conda-forge/spleeter,,['tensorflow'],3449049.0,79735.0,814.0,802.0,https://pypi.org/project/spleeter,2022-06-10 13:19:35.000,12.0,20665.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,93621.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+249,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2024-08-01 02:26:10.000000,2024-08-01 02:26:04,1422.0,1.0,3735.0,752.0,1140.0,413.0,589.0,19129.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,31,True,2023-12-02 01:16:14.308,0.1.0,68.0,magenta,,,['tensorflow'],,6974.0,537.0,532.0,https://pypi.org/project/magenta,2022-08-01 18:23:00.243,5.0,6974.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+250,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2024-07-03 10:55:10.000000,2023-10-26 05:31:53,3012.0,,1807.0,284.0,3507.0,417.0,1684.0,14006.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,31,True,2023-09-14 12:12:06.000,3.0,55.0,nni,,,,,18342.0,68.0,21.0,https://pypi.org/project/nni,2023-09-14 12:22:00.000,47.0,18342.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+251,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2024-08-07 03:17:23.000000,2024-08-07 03:17:23,2667.0,2.0,2074.0,182.0,1006.0,574.0,727.0,12692.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",70.0,31,True,2023-09-20 10:33:08.000,2.4.0,50.0,paddlehub,,,['paddle'],795.0,5241.0,1738.0,1731.0,https://pypi.org/project/paddlehub,2023-09-20 10:33:08.000,7.0,5230.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+252,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2024-10-08 06:44:39.000000,2024-10-08 06:44:36,2963.0,19.0,2375.0,201.0,472.0,246.0,475.0,9850.0,FinRL: Financial Reinforcement Learning.,117.0,31,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,1564.0,51.0,51.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,1564.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+253,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2024-07-25 10:51:05.000000,2024-02-23 19:03:07,2440.0,,1559.0,287.0,434.0,293.0,639.0,9694.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,121.0,31,False,2024-02-23 19:06:10.000,0.12.2,63.0,tpot,conda-forge/tpot,,['sklearn'],,49703.0,3049.0,3011.0,https://pypi.org/project/tpot,2024-02-23 19:06:10.000,38.0,44487.0,https://anaconda.org/conda-forge/tpot,2024-02-26 15:57:08.680,271267.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+254,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,,2410.0,456.0,261.0,577.0,364.0,9619.0,Deep learning library featuring a higher-level API for TensorFlow.,145.0,31,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,['tensorflow'],,4968.0,5033.0,5019.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,14.0,4968.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+255,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2024-09-30 16:34:15.000000,2024-09-30 16:34:14,1741.0,26.0,729.0,90.0,801.0,112.0,271.0,9582.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",51.0,31,False,2024-09-26 16:50:26.000,2.7.0,32.0,cleanlab,conda-forge/cleanlab,,,,25784.0,405.0,387.0,https://pypi.org/project/cleanlab,2024-09-26 16:50:26.000,18.0,25058.0,https://anaconda.org/conda-forge/cleanlab,2024-06-26 17:29:18.404,30504.0,2.0,,,,,,,-1.0,,,,,,,,,,,,,,,,,
+256,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,,878.0,259.0,148.0,107.0,104.0,9223.0,Fuzzy String Matching in Python.,70.0,31,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,7883792.0,1211.0,21.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,1190.0,7878122.0,https://anaconda.org/conda-forge/fuzzywuzzy,2023-06-16 13:22:53.603,561413.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+257,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,,1399.0,302.0,894.0,143.0,759.0,9129.0,AutoML library for deep learning.,143.0,31,True,2024-03-20 21:40:33.000,2.0.0,59.0,autokeras,,,['tensorflow'],18902.0,24092.0,752.0,739.0,https://pypi.org/project/autokeras,2024-03-20 21:40:33.000,13.0,23865.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+258,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2024-08-03 09:45:20.000000,2024-02-20 22:38:05,385.0,,2157.0,289.0,98.0,311.0,446.0,8589.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,31,True,2023-01-02 17:10:24.749,3.0.3,13.0,imageai,conda-forge/imageai,,,941562.0,21422.0,1699.0,1680.0,https://pypi.org/project/imageai,2023-01-02 17:10:24.749,19.0,9195.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,7982.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+259,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2024-10-04 13:51:29.000000,2024-09-28 10:51:50,1245.0,22.0,869.0,60.0,1019.0,241.0,1318.0,7964.0,A python library for user-friendly forecasting and anomaly detection on time series.,125.0,31,True,2024-06-19 16:52:35.000,0.30.0,43.0,u8darts,conda-forge/u8darts-all,,,,75755.0,10.0,,https://pypi.org/project/u8darts,2024-06-19 16:52:35.000,10.0,74240.0,https://anaconda.org/conda-forge/u8darts-all,2024-06-21 14:16:42.811,58762.0,2.0,unit8/darts,https://hub.docker.com/r/unit8/darts,2024-04-17 11:31:17.149896,,701.0,,,,,,,,,,,,,,,,,,,
+260,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2024-10-08 14:46:02.000000,2023-04-18 11:08:13,2759.0,,1269.0,215.0,721.0,196.0,829.0,7590.0,Automated Machine Learning with scikit-learn.,88.0,31,False,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,['sklearn'],62.0,19626.0,644.0,610.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,34.0,19013.0,https://anaconda.org/conda-forge/auto-sklearn,2023-06-16 19:25:30.278,25766.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+261,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2024-10-08 13:20:21.000000,2024-08-12 17:08:04,2710.0,2.0,1140.0,209.0,1051.0,25.0,615.0,6681.0,An open source library for deep learning end-to-end dialog systems and chatbots.,77.0,31,True,2024-08-12 17:22:54.000,1.7.0,64.0,deeppavlov,,,['tensorflow'],,12579.0,416.0,412.0,https://pypi.org/project/deeppavlov,2024-08-12 17:22:54.000,4.0,12579.0,,,,2.0,,,,,,deeppavlov/DeepPavlov,,,,,,,,,,,,,,,,,,
+262,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2024-09-20 10:35:33.000000,2024-09-20 10:02:01,1094.0,3.0,386.0,81.0,538.0,62.0,457.0,5844.0,A scikit-learn compatible neural network library that wraps PyTorch.,62.0,31,True,2024-05-27 15:25:43.000,1.0.0,20.0,skorch,conda-forge/skorch,,"['pytorch', 'sklearn']",,163116.0,1496.0,1411.0,https://pypi.org/project/skorch,2024-05-27 15:23:17.000,85.0,147057.0,https://anaconda.org/conda-forge/skorch,2024-05-30 08:55:05.943,786902.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+263,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2024-10-07 21:53:02.000000,2024-09-22 11:00:40,620.0,2.0,714.0,110.0,193.0,18.0,350.0,5795.0,Python-tesseract is an optical character recognition (OCR) tool for python.,49.0,31,True,2024-08-16 02:36:10.000,0.3.13,28.0,pytesseract,conda-forge/pytesseract,,,,2448950.0,971.0,,https://pypi.org/project/pytesseract,2024-08-16 02:36:10.000,971.0,2436656.0,https://anaconda.org/conda-forge/pytesseract,2023-10-15 19:50:43.241,627002.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+264,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2024-05-29 15:01:39.000000,2023-10-19 19:24:51,248.0,,910.0,125.0,38.0,74.0,147.0,5506.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,21.0,31,True,2024-05-29 15:01:39.000,0.2.4,8.0,torchdiffeq,conda-forge/torchdiffeq,,['pytorch'],,841182.0,3985.0,3885.0,https://pypi.org/project/torchdiffeq,2024-05-29 15:01:39.000,100.0,840848.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,17743.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+265,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2024-06-24 13:34:47.000000,2022-01-27 13:24:16,139.0,,1026.0,152.0,116.0,162.0,79.0,4530.0,"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,,,,542880.0,46790.0,46355.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,435.0,539101.0,https://anaconda.org/conda-forge/imutils,2023-10-27 09:12:56.985,192754.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+266,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2024-10-10 14:21:00.000000,2024-10-08 00:54:07,15550.0,82.0,525.0,74.0,3630.0,888.0,1608.0,4186.0,cuML - RAPIDS Machine Learning Library.,178.0,31,True,2024-10-09 20:29:23.000,24.10.00,42.0,cuml,,,,,3075.0,14.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,14.0,3075.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+267,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2024-08-08 15:36:05.000000,2024-08-08 15:36:05,1297.0,2.0,2506.0,1948.0,535.0,390.0,1077.0,4080.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,31,True,2024-08-05 21:53:53.000,1.57.0,104.0,azureml-sdk,,,,655.0,434490.0,31.0,,https://pypi.org/project/azureml-sdk,2024-08-05 21:53:53.000,31.0,434481.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+268,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,,704.0,184.0,737.0,277.0,669.0,3419.0,DyNet: The Dynamic Neural Network Toolkit.,160.0,31,True,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,17183.0,309002.0,282.0,264.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,18.0,308824.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+269,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,,616.0,77.0,78.0,73.0,162.0,3309.0,"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,,,,1724808.0,7317.0,7197.0,https://pypi.org/project/filterpy,2021-12-15 15:49:27.374,120.0,1721870.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,258569.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+270,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2024-10-09 08:38:40.000000,2024-10-09 08:38:39,344.0,5.0,329.0,65.0,77.0,20.0,123.0,3146.0,A Python Perceptual Image Hashing Module.,27.0,31,True,2022-09-28 08:48:24.658,4.3.1,20.0,ImageHash,conda-forge/imagehash,,,,1539496.0,14686.0,14444.0,https://pypi.org/project/ImageHash,2022-09-28 08:48:24.658,242.0,1535308.0,https://anaconda.org/conda-forge/imagehash,2023-06-16 13:23:10.041,397925.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+271,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2024-10-07 08:34:51.000000,2024-10-07 08:34:51,479.0,3.0,737.0,121.0,130.0,69.0,371.0,3037.0,"Hidden Markov Models in Python, with scikit-learn like API.",49.0,31,True,2024-03-02 03:05:38.000,0.3.2,13.0,hmmlearn,conda-forge/hmmlearn,,['sklearn'],,778890.0,2906.0,2819.0,https://pypi.org/project/hmmlearn,2024-03-02 03:05:38.000,87.0,773107.0,https://anaconda.org/conda-forge/hmmlearn,2024-09-11 23:07:53.942,283412.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+272,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2024-10-10 13:51:16.000000,2024-10-10 13:51:13,8253.0,302.0,347.0,83.0,9638.0,108.0,347.0,3008.0,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,..",120.0,31,True,2024-09-30 15:28:11.000,0.37.0,589.0,determined,,https://docs.determined.ai,"['pytorch', 'tensorflow']",11556.0,29436.0,4.0,,https://pypi.org/project/determined,2024-09-30 15:49:23.000,4.0,29196.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+273,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2024-10-10 14:17:40.000000,2024-10-10 14:15:45,1193.0,36.0,342.0,36.0,534.0,109.0,433.0,2987.0,Scalable and user friendly neural forecasting algorithms.,48.0,31,True,2024-09-20 17:38:31.000,1.7.5,26.0,neuralforecast,conda-forge/neuralforecast,,,,50134.0,242.0,225.0,https://pypi.org/project/neuralforecast,2024-09-20 17:38:31.000,17.0,49389.0,https://anaconda.org/conda-forge/neuralforecast,2024-09-20 23:37:40.226,23096.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+274,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 13:08:13.000,2024-07-26 07:25:11.554000,2024-07-01 04:53:53,1639.0,,336.0,59.0,194.0,135.0,196.0,2894.0,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'],,482421.0,1524.0,1445.0,https://pypi.org/project/tslearn,2023-12-12 14:39:23.000,79.0,455106.0,https://anaconda.org/conda-forge/tslearn,2024-07-26 07:25:11.554,1420380.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+275,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 22:38:21.000,2024-08-01 18:13:21.000000,2024-06-24 17:09:39,1087.0,,392.0,63.0,497.0,218.0,273.0,2852.0,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'],,248090.0,4560.0,4445.0,https://pypi.org/project/keras-tuner,2024-03-04 19:41:39.000,115.0,247029.0,https://anaconda.org/conda-forge/keras-tuner,2024-03-05 15:33:09.039,40322.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+276,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2024-10-01 15:28:33.000000,2024-10-01 15:28:28,557.0,14.0,412.0,90.0,117.0,77.0,265.0,2230.0,bt - flexible backtesting for Python.,34.0,31,True,2024-08-06 13:46:05.000,1.1.0,28.0,bt,conda-forge/bt,,,,10386.0,1636.0,1626.0,https://pypi.org/project/bt,2024-08-06 00:08:14.000,10.0,9298.0,https://anaconda.org/conda-forge/bt,2024-09-21 21:55:35.462,45697.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+277,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2024-10-08 03:21:33.000000,2024-10-08 03:21:30,949.0,34.0,135.0,24.0,434.0,155.0,292.0,2073.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,55.0,31,True,2024-09-18 17:10:13.000,0.11.7,51.0,equinox,,,['jax'],,227529.0,906.0,750.0,https://pypi.org/project/equinox,2024-09-18 17:10:13.000,156.0,227529.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+278,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2024-10-07 10:29:52.000000,2024-10-07 10:29:49,1258.0,59.0,186.0,21.0,176.0,47.0,137.0,1830.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,29.0,31,True,2024-09-03 07:35:15.000,0.37.0,41.0,audiomentations,,,,,49042.0,594.0,576.0,https://pypi.org/project/audiomentations,2024-09-03 07:35:15.000,18.0,49042.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+279,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2024-09-25 17:37:58.000000,2024-09-24 16:10:31,1080.0,1.0,233.0,36.0,255.0,62.0,273.0,1579.0,"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,,,,2560171.0,9589.0,9436.0,https://pypi.org/project/pmdarima,2023-10-23 14:02:41.000,153.0,2535497.0,https://anaconda.org/conda-forge/pmdarima,2024-07-14 16:03:51.778,1184359.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+280,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2024-10-10 14:54:00.000000,2024-10-10 14:51:26,4346.0,167.0,49.0,171.0,576.0,152.0,462.0,1554.0,Multiplatform plotting library based on the Grammar of Graphics.,21.0,31,True,2024-08-21 16:52:52.000,4.4.1,78.0,lets-plot,,,,1056.0,41852.0,140.0,127.0,https://pypi.org/project/lets-plot,2024-08-21 16:33:28.000,13.0,41835.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+281,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2024-10-10 00:53:03.000000,2024-10-10 00:53:03,951.0,3.0,431.0,86.0,234.0,57.0,241.0,1464.0,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,,,,1440608.0,3066.0,2628.0,https://pypi.org/project/emcee,2024-04-19 10:03:17.000,438.0,1431564.0,https://anaconda.org/conda-forge/emcee,2024-04-22 14:43:59.507,361792.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+282,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2024-10-08 13:54:27.000000,2024-10-08 13:52:08,1612.0,33.0,169.0,18.0,843.0,110.0,455.0,1349.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,109.0,31,True,2024-09-28 19:45:17.000,0.29.2,65.0,pyjanitor,conda-forge/pyjanitor,,,,93138.0,756.0,724.0,https://pypi.org/project/pyjanitor,2024-09-28 19:45:12.000,32.0,89105.0,https://anaconda.org/conda-forge/pyjanitor,2024-09-28 23:43:58.175,213769.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+283,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 22:15:53.000,2024-10-07 00:14:25.000000,2024-09-25 20:47:05,1143.0,10.0,211.0,23.0,151.0,25.0,199.0,1123.0,Survival analysis built on top of scikit-learn.,21.0,31,False,2024-06-30 09:36:26.000,0.23.0,29.0,scikit-survival,conda-forge/scikit-survival,,['sklearn'],,140635.0,634.0,601.0,https://pypi.org/project/scikit-survival,2024-06-30 09:36:26.000,33.0,136330.0,https://anaconda.org/conda-forge/scikit-survival,2024-06-30 11:16:56.800,150705.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+284,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000,2024-10-10 08:25:46.000000,2024-10-10 06:34:50,3198.0,49.0,118.0,17.0,314.0,7.0,170.0,800.0,Python bindings for MPI.,27.0,31,True,2024-07-28 09:41:14.000,4.0.0,29.0,mpi4py,conda-forge/mpi4py,,,27201.0,771181.0,741.0,,https://pypi.org/project/mpi4py,2024-07-28 09:41:14.000,741.0,708820.0,https://anaconda.org/conda-forge/mpi4py,2024-09-04 08:05:36.172,2967782.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+285,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 21:24:50.000,2024-10-10 14:11:23.000000,2024-10-01 09:06:18,174406.0,2920.0,94.0,50.0,2325.0,91.0,286.0,684.0,TensorFlow ROCm port.,4714.0,31,True,2022-12-06 16:42:53.965,2.9.4,100.0,tensorflow-rocm,,,['tensorflow'],24.0,6156.0,9.0,,https://pypi.org/project/tensorflow-rocm,2024-01-10 14:33:03.000,9.0,6156.0,,,,3.0,,,,,,ROCm/tensorflow-upstream,,,,,,,,,,,,,,,,,,
+286,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2024-09-30 20:17:48.000000,2024-09-30 20:17:46,17279.0,37.0,111.0,28.0,3613.0,528.0,3412.0,526.0,"Keep code, data, containers under control with git and git-annex.",57.0,31,True,2024-08-08 02:59:23.000,1.1.3,119.0,datalad,conda-forge/datalad,,,,57731.0,518.0,423.0,https://pypi.org/project/datalad,2024-08-08 02:59:23.000,95.0,45677.0,https://anaconda.org/conda-forge/datalad,2024-08-08 08:36:45.951,626841.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+287,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2024-09-13 08:21:34.000000,2024-09-12 22:24:23,593.0,22.0,38.0,10.0,75.0,10.0,26.0,218.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,14.0,31,False,2024-09-13 08:21:34.000,1.0.1,49.0,blis,conda-forge/cython-blis,,,180.0,11495599.0,49831.0,49730.0,https://pypi.org/project/blis,2024-09-13 08:21:34.000,101.0,11448828.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2291725.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+288,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,,4286.0,1250.0,557.0,840.0,2543.0,17507.0,"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,,,,14704.0,1591.0,5.0,2.0,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,3.0,1451.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+289,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2024-08-01 21:31:33.000000,2020-01-31 13:06:18,347.0,,4862.0,647.0,375.0,504.0,436.0,15705.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,30,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,1493.0,587.0,584.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,3.0,1493.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+290,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2024-09-12 15:44:41.000000,2024-09-12 15:44:27,1995.0,5.0,2583.0,298.0,939.0,238.0,690.0,15325.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",134.0,30,True,2024-05-24 08:18:55.000,0.9.5,34.0,pyqlib,,,['pytorch'],719.0,4817.0,22.0,21.0,https://pypi.org/project/pyqlib,2024-05-24 08:18:55.000,1.0,4803.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+291,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2024-09-28 02:49:12.000000,2024-09-28 02:45:37,1186.0,9.0,1387.0,100.0,659.0,729.0,526.0,8342.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,129.0,30,True,,,4.0,,conda-forge/nvidia-apex,,['pytorch'],,6785.0,2753.0,2753.0,,,,,https://anaconda.org/conda-forge/nvidia-apex,2024-09-10 09:10:05.964,325719.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+292,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,,1760.0,303.0,296.0,161.0,267.0,5652.0,Portfolio and risk analytics in Python.,60.0,30,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,7931.0,1090.0,1076.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,14.0,7757.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,13956.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+293,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2024-07-28 06:06:31.000000,2024-06-24 00:50:16,586.0,,1027.0,108.0,250.0,114.0,479.0,5292.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators.,45.0,30,True,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,['pandas'],,174782.0,4350.0,4230.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,120.0,174172.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,21979.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+294,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 09:34:48.000,2024-09-10 15:55:41.876000,2024-09-10 14:13:20,813.0,8.0,402.0,75.0,297.0,60.0,529.0,4733.0,Visualizer for pandas data structures.,30.0,30,True,2024-09-10 15:24:26.000,3.14.1,186.0,dtale,conda-forge/dtale,,"['pandas', 'jupyter']",,78611.0,1273.0,1229.0,https://pypi.org/project/dtale,2024-09-10 15:17:39.000,44.0,72240.0,https://anaconda.org/conda-forge/dtale,2024-09-10 15:55:41.876,337684.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+295,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2024-08-08 18:40:13.000000,2024-01-12 14:48:30,249.0,,280.0,44.0,51.0,28.0,97.0,4033.0,A simple command-line utility for querying and monitoring GPU status.,17.0,30,True,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,666989.0,6217.0,6067.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,150.0,660751.0,https://anaconda.org/conda-forge/gpustat,2023-08-23 10:35:25.821,293207.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+296,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2024-09-27 18:07:36.000000,2024-09-27 18:07:34,1237.0,17.0,496.0,64.0,759.0,4.0,549.0,3721.0,On-device wake word detection powered by deep learning.,38.0,30,True,2024-08-27 00:05:29.000,3.0.3,35.0,pvporcupine,,,,,11813.0,69.0,34.0,https://pypi.org/project/pvporcupine,2024-08-27 00:05:29.000,35.0,11813.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+297,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2024-08-23 13:53:47.619000,2023-11-21 21:15:59,435.0,,605.0,77.0,231.0,89.0,406.0,3535.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,35.0,30,True,2023-09-29 21:07:11.000,0.7.2,47.0,implicit,conda-forge/implicit,,,1424.0,300200.0,1530.0,1501.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,29.0,282305.0,https://anaconda.org/conda-forge/implicit,2024-08-23 13:53:47.619,874761.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+298,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2024-09-09 06:24:01.000000,2024-09-09 06:24:01,415.0,9.0,248.0,64.0,56.0,9.0,,3369.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",17.0,30,True,2024-07-16 09:36:19.000,4.6.3,29.0,textdistance,conda-forge/textdistance,,,1036.0,918869.0,7258.0,7159.0,https://pypi.org/project/textdistance,2024-07-16 09:34:51.000,99.0,905300.0,https://anaconda.org/conda-forge/textdistance,2024-07-17 15:04:16.210,637216.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+299,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 07:14:02.000,2024-10-09 16:41:41.000000,2024-09-25 08:37:49,986.0,4.0,234.0,37.0,545.0,75.0,175.0,2872.0,JAX-based neural network library.,83.0,30,True,2024-02-28 18:11:54.000,0.0.12,15.0,dm-haiku,conda-forge/dm-haiku,,,,247137.0,2244.0,2077.0,https://pypi.org/project/dm-haiku,2024-02-28 18:11:54.000,167.0,246631.0,https://anaconda.org/conda-forge/dm-haiku,2024-02-28 22:18:23.853,22307.0,3.0,,,,,,google-deepmind/dm-haiku,,,,,,,,,,,,,,,,,,
+300,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2024-10-10 12:10:22.000000,2024-10-10 11:44:50,1670.0,39.0,331.0,37.0,357.0,36.0,173.0,2721.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,40.0,30,True,2024-10-10 12:10:22.000,2.7.0,43.0,shapash,,,['jupyter'],,28873.0,179.0,175.0,https://pypi.org/project/shapash,2024-10-10 12:10:22.000,4.0,28873.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+301,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2024-10-10 13:59:39.000000,2024-10-10 04:10:55,1896.0,146.0,130.0,26.0,353.0,54.0,105.0,2156.0,"Fast Open-Source Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java,..",54.0,30,True,2024-10-10 05:09:50.000,2.15.3,125.0,usearch,,,,27698.0,183171.0,160.0,125.0,https://pypi.org/project/usearch,2024-10-10 05:09:50.000,21.0,174416.0,,,,3.0,unum/usearch,https://hub.docker.com/r/unum/usearch,2024-10-10 04:15:31.133870,1.0,131.0,,,,usearch,https://www.npmjs.com/package/usearch,2024-10-10 04:16:54.769,14.0,7018.0,,,,,,,,,,,
+302,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2024-09-13 13:36:57.070000,2024-08-26 17:26:56,210.0,1.0,254.0,56.0,78.0,51.0,229.0,2001.0,A Python wrapper for the tesseract-ocr API.,30.0,30,True,2024-08-26 20:21:57.000,2.7.1,22.0,tesserocr,conda-forge/tesserocr,,,576.0,105281.0,1132.0,1096.0,https://pypi.org/project/tesserocr,2024-08-26 20:21:57.000,36.0,101691.0,https://anaconda.org/conda-forge/tesserocr,2024-09-13 13:36:57.070,182857.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+303,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2024-10-07 11:38:14.000000,2024-10-04 09:56:03,2451.0,1.0,435.0,76.0,1270.0,154.0,682.0,1842.0,Gaussian processes in TensorFlow.,84.0,30,True,2024-06-17 13:05:05.000,2.9.2,50.0,gpflow,conda-forge/gpflow,,['tensorflow'],,77344.0,724.0,689.0,https://pypi.org/project/gpflow,2024-06-17 13:05:05.000,35.0,76275.0,https://anaconda.org/conda-forge/gpflow,2024-06-26 16:24:01.852,34238.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+304,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2024-09-08 19:48:30.000000,2024-09-08 00:19:34,1851.0,42.0,379.0,50.0,136.0,29.0,435.0,1725.0,Reinforcement Learning environments based on the 1993 game Doom.,55.0,30,True,2024-08-20 10:48:59.000,1.2.4,30.0,vizdoom,,,,12020.0,3997.0,286.0,271.0,https://pypi.org/project/vizdoom,2024-08-20 10:48:59.000,15.0,3881.0,,,,1.0,,,,,,Farama-Foundation/ViZDoom,,,,,,,,,,,,,,,,,,
+305,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2024-10-07 09:06:23.000000,2024-10-07 09:06:22,2868.0,34.0,183.0,27.0,708.0,118.0,457.0,1636.0,A Python library for learning and evaluating knowledge graph embeddings.,41.0,30,True,2024-02-19 21:29:27.000,1.10.2,47.0,pykeen,,,,213.0,9811.0,250.0,244.0,https://pypi.org/project/pykeen,2024-02-19 21:25:43.000,6.0,9807.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+306,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2024-10-09 07:05:08.000000,2024-10-09 07:05:08,1256.0,4.0,137.0,31.0,120.0,35.0,268.0,1610.0,Statistical package in Python based on Pandas.,47.0,30,False,2024-09-04 10:48:32.000,0.5.5,41.0,pingouin,conda-forge/pingouin,,,,150419.0,2568.0,2412.0,https://pypi.org/project/pingouin,2024-09-04 10:42:50.000,156.0,147814.0,https://anaconda.org/conda-forge/pingouin,2024-09-04 22:25:36.166,135511.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+307,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2024-10-10 14:02:21.000000,2024-10-01 14:33:45,1137.0,8.0,248.0,48.0,536.0,31.0,185.0,1330.0,ARCH models in Python.,35.0,30,False,2024-09-24 09:58:38.000,7.1.0,48.0,arch,conda-forge/arch-py,,,,396432.0,2089.0,1980.0,https://pypi.org/project/arch,2024-09-24 09:58:38.000,109.0,388575.0,https://anaconda.org/conda-forge/arch-py,2024-09-24 16:15:26.723,408611.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+308,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2024-10-08 19:34:40.000000,2024-10-08 19:34:40,10790.0,42.0,245.0,38.0,1505.0,208.0,354.0,1250.0,Computations and statistics on manifolds with geometric structures.,93.0,30,True,2024-09-09 17:46:06.000,2.8.0,33.0,geomstats,conda-forge/geomstats,https://geomstats.github.io/,,,3863.0,135.0,123.0,https://pypi.org/project/geomstats,2024-09-09 17:41:39.000,12.0,3729.0,https://anaconda.org/conda-forge/geomstats,2024-09-10 11:38:37.614,3777.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+309,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/JoaquinAmatRodrigo/skforecast,https://github.com/JoaquinAmatRodrigo/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2024-10-10 11:36:24.000000,2024-08-13 21:16:30,3511.0,142.0,126.0,10.0,626.0,23.0,150.0,1100.0,Time series forecasting with machine learning models.,14.0,30,True,2024-08-01 13:18:23.000,0.13.0,28.0,skforecast,,,['sklearn'],,79582.0,346.0,331.0,https://pypi.org/project/skforecast,2024-08-01 12:24:50.000,15.0,79582.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+310,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2024-06-14 11:34:14.000000,2024-01-04 18:54:38,558.0,,103.0,33.0,61.0,72.0,82.0,944.0,Describing statistical models in Python using symbolic formulas.,19.0,30,True,2024-01-04 18:58:03.000,0.5.6,13.0,patsy,conda-forge/patsy,,,,15861150.0,106829.0,106302.0,https://pypi.org/project/patsy,2024-01-04 18:55:57.000,527.0,15528438.0,https://anaconda.org/conda-forge/patsy,2024-01-05 15:46:09.327,12310370.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+311,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2024-10-07 18:17:28.000000,2024-10-04 14:18:34,499.0,5.0,121.0,32.0,132.0,25.0,75.0,913.0,Python bindings and utilities for GeoJSON.,58.0,30,True,2023-11-05 21:06:50.000,3.1.0,31.0,geojson,conda-forge/geojson,,,,3105819.0,19100.0,18399.0,https://pypi.org/project/geojson,2023-11-05 21:06:50.000,701.0,3062975.0,https://anaconda.org/conda-forge/geojson,2023-11-06 11:21:40.354,856897.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+312,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2024-09-27 19:27:52.000000,2024-09-24 16:01:52,16653.0,73.0,377.0,45.0,1649.0,306.0,2982.0,902.0,An open-source application for biological image analysis.,144.0,30,True,2024-09-27 21:18:50.000,4.2.8,35.0,cellprofiler,,,,7843.0,2220.0,25.0,23.0,https://pypi.org/project/cellprofiler,2024-09-16 19:44:11.000,2.0,2160.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+313,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2024-09-10 22:31:48.000000,2024-09-10 22:30:54,1084.0,11.0,174.0,35.0,117.0,27.0,62.0,756.0,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,,,,23690729.0,459.0,10.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,449.0,23601867.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,8708502.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+314,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2024-10-09 19:48:43.000000,2024-07-01 21:47:36,1690.0,,283.0,42.0,1426.0,290.0,371.0,701.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",109.0,30,True,2024-07-01 23:45:56.000,0.37.1,45.0,tensorflow-io,,,['tensorflow'],,1445184.0,61.0,,https://pypi.org/project/tensorflow-io,2024-07-01 23:43:17.000,61.0,1445184.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+315,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2024-09-03 10:05:52.331000,2023-12-15 12:50:52,282.0,,107.0,25.0,53.0,37.0,57.0,484.0,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,,,,2094934.0,24590.0,24455.0,https://pypi.org/project/audioread,2023-09-27 19:27:51.000,135.0,2076679.0,https://anaconda.org/conda-forge/audioread,2024-09-03 10:05:52.331,876281.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+316,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2024-08-19 17:47:36.000000,2023-04-19 14:13:08,2404.0,,3877.0,609.0,231.0,52.0,,14169.0,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,39326.0,2401.0,2327.0,https://pypi.org/project/backtrader,2023-04-19 14:15:00.742,74.0,39326.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+317,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2024-10-10 09:55:07.000000,2024-10-10 09:55:06,2290.0,26.0,2847.0,197.0,3739.0,1237.0,4186.0,12661.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",180.0,29,True,2023-10-19 03:47:18.000,2.7.0,9.0,paddledet,,,['paddle'],,549.0,2.0,,https://pypi.org/project/paddledet,2022-09-19 20:42:09.271,2.0,549.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+318,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,,1834.0,214.0,46.0,101.0,94.0,9020.0,"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'],,140493.0,86.0,20.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,66.0,139672.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,42724.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+319,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2024-10-09 17:10:34.000000,2024-10-09 16:12:32,1044.0,19.0,911.0,138.0,739.0,130.0,345.0,7051.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,94.0,29,True,2023-12-25 07:11:09.000,0.11.1,15.0,dowhy,conda-forge/dowhy,,,40.0,57117.0,437.0,430.0,https://pypi.org/project/dowhy,2023-12-25 07:11:09.000,7.0,56421.0,https://anaconda.org/conda-forge/dowhy,2024-01-26 10:57:10.385,32749.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+320,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,,1389.0,190.0,786.0,45.0,423.0,6174.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",132.0,29,False,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,['tensorflow'],,2077.0,762.0,755.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,7.0,1904.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,9006.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+321,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,,1214.0,152.0,952.0,58.0,788.0,5819.0,Gluon CV Toolkit.,119.0,29,False,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,['mxnet'],,92946.0,76.0,21.0,https://pypi.org/project/gluoncv,2023-02-03 18:46:00.371,55.0,92946.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+322,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-10-01 23:10:08.000000,2024-09-10 16:49:55,1635.0,24.0,830.0,146.0,1563.0,371.0,403.0,5058.0,Simple and Distributed Machine Learning.,120.0,29,True,2024-08-30 02:16:51.000,1.0.5,51.0,synapseml,,,,,245820.0,5.0,,https://pypi.org/project/synapseml,2024-08-30 02:13:37.000,5.0,245820.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+323,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2024-10-07 18:08:16.000000,2024-10-07 18:08:16,625.0,9.0,774.0,84.0,352.0,53.0,343.0,5025.0,Uplift modeling and causal inference with machine learning algorithms.,64.0,29,True,2024-10-01 06:25:01.000,0.15.2,25.0,causalml,,,,,51464.0,224.0,222.0,https://pypi.org/project/causalml,2024-10-01 06:25:01.000,2.0,51464.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+324,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2024-08-06 20:03:27.000000,2024-07-25 12:17:22,1473.0,2.0,744.0,75.0,1815.0,325.0,634.0,4570.0,Probabilistic time series modeling in Python.,117.0,29,True,2024-06-03 07:20:43.000,0.15.1,110.0,gluonts,anaconda/gluonts,,['mxnet'],,649342.0,31.0,,https://pypi.org/project/gluonts,2024-06-03 07:20:43.000,31.0,649315.0,https://anaconda.org/anaconda/gluonts,2023-12-22 09:31:03.436,977.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+325,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2024-06-24 09:15:15.000000,2022-07-07 05:16:43,738.0,,457.0,42.0,126.0,75.0,154.0,4424.0,Data augmentation for NLP.,33.0,29,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,128535.0,1459.0,1394.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,65.0,127898.0,https://anaconda.org/conda-forge/nlpaug,2023-06-16 19:26:38.185,25501.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+326,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2024-07-17 04:40:56.000000,2023-11-02 13:49:44,662.0,,894.0,148.0,132.0,138.0,104.0,4284.0,Technical Analysis Library using Pandas and Numpy.,34.0,29,True,2023-11-02 13:53:35.000,0.11.0,56.0,ta,conda-forge/ta,,,,185915.0,4301.0,4194.0,https://pypi.org/project/ta,2023-11-02 13:53:35.000,107.0,185241.0,https://anaconda.org/conda-forge/ta,2023-11-02 22:03:30.766,29662.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+327,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2024-08-09 13:30:50.391000,2024-07-18 16:46:48,557.0,10.0,735.0,175.0,90.0,1.0,288.0,4248.0,A python wrapper for Alpha Vantage API for financial data.,44.0,29,True,2024-07-18 14:29:16.000,3.0.0,35.0,alpha_vantage,conda-forge/alpha_vantage,,,,39559.0,35.0,,https://pypi.org/project/alpha_vantage,2024-07-18 14:29:16.000,35.0,39392.0,https://anaconda.org/conda-forge/alpha_vantage,2024-08-09 13:30:50.391,7532.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+328,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2024-08-27 11:49:25.000000,2024-08-27 11:02:25,515.0,4.0,568.0,43.0,541.0,14.0,,4006.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,48.0,29,True,2024-08-27 11:49:25.000,0.11.19,103.0,sahi,conda-forge/sahi,,,27771.0,177710.0,1412.0,1386.0,https://pypi.org/project/sahi,2024-07-10 10:19:56.000,26.0,175017.0,https://anaconda.org/conda-forge/sahi,2024-07-24 03:28:58.170,74256.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+329,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2024-05-14 18:30:13.000000,2023-02-26 20:07:33,189.0,,515.0,77.0,38.0,14.0,121.0,3917.0,Missing data visualization module for Python.,18.0,29,False,2023-02-26 20:11:59.371,0.5.2,26.0,missingno,conda-forge/missingno,,,,278039.0,18361.0,18239.0,https://pypi.org/project/missingno,2023-02-26 20:11:59.371,122.0,226101.0,https://anaconda.org/conda-forge/missingno,2024-03-02 01:06:27.711,363569.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+330,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2024-09-16 21:51:17.000000,2024-09-13 01:42:25,1464.0,22.0,469.0,55.0,823.0,58.0,497.0,3834.0,NeuralProphet: A simple forecasting package.,56.0,29,True,2024-06-21 07:42:22.000,0.9.0,36.0,neuralprophet,,,['pytorch'],,135237.0,8.0,,https://pypi.org/project/neuralprophet,2024-06-26 23:51:51.000,8.0,135237.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+331,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2024-10-09 13:31:30.000000,2024-10-09 11:23:54,683.0,26.0,659.0,38.0,972.0,147.0,777.0,3706.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",81.0,29,True,2024-08-12 12:57:29.000,1.1.1,32.0,anomalib,,,,14147.0,58948.0,103.0,98.0,https://pypi.org/project/anomalib,2024-08-12 12:57:52.000,5.0,58532.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+332,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2024-10-10 13:18:07.000000,2024-10-10 13:12:22,890.0,18.0,415.0,43.0,982.0,38.0,334.0,3694.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",51.0,29,True,2024-08-08 14:03:10.000,0.9.0,16.0,python-doctr,,,"['tensorflow', 'pytorch']",3878421.0,140051.0,12.0,,https://pypi.org/project/python-doctr,2024-08-08 14:03:10.000,12.0,51906.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+333,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2024-09-09 07:33:42.000000,2024-09-09 07:33:42,3663.0,3.0,463.0,102.0,1052.0,259.0,368.0,3616.0,Plotting library for IPython/Jupyter notebooks.,65.0,29,True,2024-02-27 15:38:38.000,0.12.43,112.0,bqplot,conda-forge/bqplot,,['jupyter'],,213814.0,178.0,58.0,https://pypi.org/project/bqplot,2024-03-25 09:03:21.000,99.0,185191.0,https://anaconda.org/conda-forge/bqplot,2024-02-19 16:46:43.025,1392874.0,3.0,,,,,,,,,bqplot,https://www.npmjs.com/package/bqplot,2024-03-25 09:04:27.051,21.0,2343.0,,,,,,,,,,,
+334,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2024-09-25 09:06:07.000000,2024-02-22 12:17:17,1487.0,,252.0,21.0,1746.0,295.0,726.0,3591.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,53.0,29,False,2024-01-31 13:08:55.000,0.18.1,60.0,deepchecks,,,,1207.0,96637.0,449.0,437.0,https://pypi.org/project/deepchecks,2024-01-31 13:08:49.000,12.0,96604.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+335,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2024-05-16 18:13:04.000000,2024-05-16 18:13:03,456.0,,526.0,113.0,93.0,23.0,101.0,3514.0,Module for automatic summarization of text documents and HTML pages.,32.0,29,True,2022-10-23 16:42:18.783,0.11.0,16.0,sumy,conda-forge/sumy,,,,449335.0,3167.0,3136.0,https://pypi.org/project/sumy,2022-10-23 16:42:18.783,31.0,449100.0,https://anaconda.org/conda-forge/sumy,2023-06-16 19:26:28.563,9438.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+336,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2024-07-11 06:05:21.000000,2024-07-11 06:02:00,993.0,,589.0,95.0,338.0,20.0,760.0,3354.0,"Fast, flexible and easy to use probabilistic modelling in Python.",75.0,29,True,2024-07-11 06:11:27.000,1.1.0,76.0,pomegranate,conda-forge/pomegranate,,,,21760.0,1223.0,1164.0,https://pypi.org/project/pomegranate,2024-07-11 06:05:21.000,59.0,18473.0,https://anaconda.org/conda-forge/pomegranate,2023-12-10 17:04:41.093,174244.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+337,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2024-08-11 08:09:18.000000,2024-06-22 17:36:10,1146.0,,252.0,61.0,121.0,7.0,289.0,3349.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,29,True,2024-06-22 19:12:02.000,0.3.3,23.0,vidgear,,,,1745.0,25583.0,629.0,614.0,https://pypi.org/project/vidgear,2024-06-22 19:12:02.000,15.0,25557.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+338,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,,450.0,82.0,245.0,69.0,155.0,3063.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,29,False,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,89.0,100061.0,202.0,199.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,3.0,100060.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+339,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2024-07-03 14:15:42.000000,2021-02-25 05:05:09,452.0,,676.0,108.0,74.0,102.0,123.0,3026.0,Productivity Tools for Plotly + Pandas.,39.0,29,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,['pandas'],,60997.0,11980.0,11871.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,109.0,60997.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+340,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2024-10-09 07:20:59.000000,2024-10-09 07:09:55,1217.0,32.0,403.0,49.0,94.0,139.0,520.0,3025.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",29.0,29,True,2024-10-09 07:20:59.000,1.1.12,95.0,mljar-supervised,conda-forge/mljar-supervised,,,,7385.0,135.0,131.0,https://pypi.org/project/mljar-supervised,2024-10-09 07:10:53.000,4.0,6824.0,https://anaconda.org/conda-forge/mljar-supervised,2024-09-10 16:42:21.786,22445.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+341,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2024-10-09 07:57:26.000000,2024-10-09 07:56:44,2306.0,8.0,721.0,79.0,206.0,199.0,469.0,2786.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",151.0,29,True,2023-12-14 04:07:38.000,0.19.0,51.0,tf-agents,,,['tensorflow'],,113091.0,14.0,,https://pypi.org/project/tf-agents,2023-12-14 04:07:38.000,14.0,113091.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+342,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,,519.0,95.0,1045.0,260.0,297.0,2555.0,"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'],,100396.0,1640.0,1618.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,100396.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+343,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,,357.0,82.0,168.0,217.0,148.0,2352.0,An interactive data visualization tool which brings matplotlib graphics to the browser using D3.,52.0,29,True,2023-12-23 13:04:29.963,0.5.10,19.0,mpld3,conda-forge/mpld3,,,,379637.0,6712.0,6557.0,https://pypi.org/project/mpld3,2023-12-23 13:03:02.000,146.0,374834.0,https://anaconda.org/conda-forge/mpld3,2023-12-23 15:16:22.285,210275.0,3.0,,,,,,,,,mpld3,https://www.npmjs.com/package/mpld3,2023-12-23 13:04:29.963,9.0,760.0,,,,,,,,,,,
+344,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2024-07-18 15:45:47.000000,2024-06-20 19:30:24,1373.0,,328.0,22.0,49.0,35.0,203.0,2304.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,21.0,29,True,2024-03-18 21:02:33.000,0.4.7,91.0,explainerdashboard,conda-forge/explainerdashboard,,,,83935.0,552.0,542.0,https://pypi.org/project/explainerdashboard,2024-03-18 21:02:33.000,10.0,82773.0,https://anaconda.org/conda-forge/explainerdashboard,2024-03-18 22:16:35.129,53462.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+345,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2024-10-08 16:09:34.000000,2024-10-08 16:09:34,62.0,6.0,526.0,42.0,29.0,49.0,81.0,2204.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",16.0,29,True,2024-10-08 01:42:18.000,1.0.0,12.0,mtcnn,conda-forge/mtcnn,,['tensorflow'],,110267.0,6240.0,6167.0,https://pypi.org/project/mtcnn,2024-10-08 01:42:18.000,73.0,110033.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,13146.0,2.0,,,,,,,2.0,,,,,,,,,,,,,,,,,
+346,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2024-10-01 13:02:53.000000,2024-10-01 13:02:45,487.0,10.0,289.0,64.0,122.0,22.0,105.0,1998.0,ffn - a financial function library for Python.,35.0,29,True,2024-08-06 13:45:28.000,1.1.0,37.0,ffn,conda-forge/ffn,,,,17542.0,512.0,494.0,https://pypi.org/project/ffn,2024-08-05 23:48:25.000,18.0,17251.0,https://anaconda.org/conda-forge/ffn,2024-08-06 14:03:54.464,12241.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+347,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,,400.0,41.0,63.0,24.0,272.0,1927.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,29,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,81742.0,1991.0,1969.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,22.0,80968.0,https://anaconda.org/conda-forge/ogb,2023-06-16 19:21:31.692,37963.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+348,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2024-07-09 19:44:03.000000,2024-04-29 20:57:51,290.0,,359.0,47.0,79.0,78.0,113.0,1803.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,42.0,29,True,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,['jupyter'],,135155.0,6594.0,6491.0,https://pypi.org/project/pyldavis,2023-04-23 23:55:02.142,103.0,134016.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,86591.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+349,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2024-09-15 02:16:48.000000,2024-09-15 02:16:48,1062.0,3.0,225.0,51.0,208.0,32.0,289.0,1688.0,A full spaCy pipeline and models for scientific/biomedical documents.,34.0,29,True,2024-03-08 05:58:36.000,0.5.4,15.0,scispacy,,,,,24296.0,1008.0,974.0,https://pypi.org/project/scispacy,2024-03-08 05:58:36.000,34.0,24296.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+350,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2024-10-10 10:23:40.000000,2024-10-10 09:54:28,2152.0,230.0,125.0,10.0,841.0,110.0,849.0,1389.0,"dstack is an open-source alternative to Kubernetes, designed to simplify development, training, and deployment of AI..",36.0,29,True,2024-10-09 10:20:31.000,0.18.17,233.0,dstack,,,,,9681.0,16.0,16.0,https://pypi.org/project/dstack,2024-10-09 09:12:09.000,,9681.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+351,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2024-06-05 08:48:15.000000,2024-06-05 08:42:47,1478.0,,163.0,32.0,252.0,,,1342.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",22.0,29,True,2024-04-25 12:54:53.000,1.3.5,77.0,spacy-transformers,conda-forge/spacy-transformers,,['spacy'],,560394.0,1974.0,1887.0,https://pypi.org/project/spacy-transformers,2024-04-25 12:53:43.000,87.0,558505.0,https://anaconda.org/conda-forge/spacy-transformers,2023-12-19 11:34:09.090,66140.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+352,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2024-09-18 16:05:13.000000,2024-09-18 16:03:14,147.0,8.0,120.0,24.0,110.0,46.0,77.0,1267.0,Python 3.8+ toolbox for submitting jobs to Slurm.,25.0,29,True,2024-09-18 16:05:09.000,1.5.2,24.0,submitit,conda-forge/submitit,,,,459244.0,3329.0,3280.0,https://pypi.org/project/submitit,2024-09-18 16:05:09.000,49.0,458423.0,https://anaconda.org/conda-forge/submitit,2023-11-24 07:58:55.401,41068.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+353,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2024-09-08 06:00:12.000000,2024-09-07 18:33:30,408.0,10.0,182.0,26.0,39.0,9.0,130.0,1261.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,29,True,2024-09-07 18:34:31.000,0.13.1,60.0,prince,conda-forge/prince-factor-analysis,,['sklearn'],,200844.0,631.0,613.0,https://pypi.org/project/prince,2024-09-07 18:34:31.000,18.0,200492.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,20770.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+354,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2024-10-09 00:17:12.000000,2024-10-09 00:17:11,1503.0,44.0,274.0,72.0,107.0,33.0,55.0,1256.0,Model analysis tools for TensorFlow.,58.0,29,True,2024-04-25 08:57:36.000,0.46.0,57.0,tensorflow-model-analysis,,,"['tensorflow', 'jupyter']",,126850.0,19.0,,https://pypi.org/project/tensorflow-model-analysis,2024-04-25 08:57:36.000,19.0,126850.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+355,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2024-08-23 02:08:55.000000,2024-07-09 16:09:26,3066.0,,268.0,34.0,38.0,1.0,497.0,1227.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,17.0,29,True,2024-06-19 01:15:40.000,0.41.4,211.0,ktrain,,,['tensorflow'],,13638.0,559.0,555.0,https://pypi.org/project/ktrain,2024-06-19 01:15:40.000,4.0,13638.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+356,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2024-08-18 16:23:07.000000,2024-05-12 22:59:32,3715.0,,327.0,65.0,690.0,36.0,533.0,835.0,The Classical Language Toolkit.,121.0,29,True,2024-05-13 16:48:36.000,1.2.6,217.0,cltk,,,,95.0,8777.0,289.0,274.0,https://pypi.org/project/cltk,2024-05-12 23:09:13.000,15.0,8777.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+357,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2024-10-08 15:25:17.000000,2024-10-08 15:25:16,847.0,17.0,75.0,25.0,405.0,103.0,241.0,592.0,"Simple, concise geographical visualization in Python.",32.0,29,True,2024-09-18 10:30:55.000,1.13.0,66.0,geoviews,conda-forge/geoviews,,,,21719.0,1188.0,1129.0,https://pypi.org/project/geoviews,2024-09-16 16:00:44.000,59.0,16644.0,https://anaconda.org/conda-forge/geoviews,2024-09-17 10:57:22.057,248704.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+358,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 11:25:57.000,2024-10-07 14:26:43.000000,2024-09-26 12:17:28,2097.0,6.0,63.0,18.0,1634.0,30.0,213.0,577.0,The experiment tracker for foundation model training.,54.0,29,True,2024-10-02 08:04:08.000,1.12.0,210.0,neptune-client,conda-forge/neptune-client,,,,512024.0,694.0,617.0,https://pypi.org/project/neptune-client,2024-10-02 08:04:08.000,77.0,506714.0,https://anaconda.org/conda-forge/neptune-client,2024-10-02 12:46:58.862,281478.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+359,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,,886.0,268.0,98.0,82.0,81.0,7353.0,Visualizations for machine learning datasets.,31.0,28,False,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,['jupyter'],,94479.0,274.0,266.0,https://pypi.org/project/facets-overview,2023-05-24 15:58:01.158,8.0,94479.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+360,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2024-08-30 14:19:26.000000,2024-08-30 14:19:23,221.0,1.0,1338.0,172.0,46.0,80.0,241.0,7038.0,2D 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'],,64364.0,31.0,21.0,https://pypi.org/project/face-alignment,2023-08-17 14:43:11.000,10.0,64364.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+361,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2024-06-16 11:25:37.000000,2024-06-14 19:31:58,659.0,,1011.0,145.0,100.0,87.0,310.0,6372.0,A Python scikit for building and analyzing recommender systems.,46.0,28,True,2024-05-19 14:25:59.000,1.1.4,12.0,scikit-surprise,conda-forge/scikit-surprise,,,,86032.0,58.0,21.0,https://pypi.org/project/scikit-surprise,2024-05-19 14:25:59.000,37.0,77897.0,https://anaconda.org/conda-forge/scikit-surprise,2024-05-20 10:08:43.793,414894.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+362,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,,1190.0,210.0,92.0,201.0,122.0,5838.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",28.0,28,True,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,15286.0,527.0,515.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,12.0,15286.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+363,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,,1362.0,200.0,158.0,49.0,227.0,5519.0,Deep Reinforcement Learning for Keras.,41.0,28,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,['tensorflow'],,1320.0,796.0,790.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,6.0,1320.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+364,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 20:22:54.000,2024-08-15 06:26:34.000000,2022-08-06 21:47:18,182.0,,459.0,73.0,63.0,110.0,57.0,4833.0,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,,,,,365637.0,2987.0,2965.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,22.0,365637.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+365,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,,780.0,271.0,438.0,221.0,329.0,4832.0,"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'],25.0,2140.0,332.0,330.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,2.0,2140.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+366,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2024-07-24 18:48:54.000000,2023-04-30 18:36:20,483.0,,686.0,87.0,208.0,157.0,358.0,4738.0,"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,,,,336124.0,1583.0,1551.0,https://pypi.org/project/lightfm,2023-03-20 04:15:00.582,32.0,333333.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,226125.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+367,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2024-10-08 20:55:12.000000,2024-10-01 23:47:53,6174.0,21.0,530.0,147.0,1946.0,338.0,1381.0,4542.0,ArrayFire: a general purpose GPU library.,94.0,28,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,7060.0,4211.0,10.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,10.0,4148.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+368,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,,949.0,218.0,408.0,139.0,402.0,3844.0,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,,,,,2186.0,1076.0,1064.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,12.0,2186.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+369,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2024-09-17 20:09:27.000000,2024-09-17 20:08:40,1205.0,4.0,420.0,83.0,55.0,62.0,203.0,3485.0,A library of reinforcement learning components and agents.,86.0,28,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,['tensorflow'],,1764.0,220.0,217.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,1553.0,https://anaconda.org/conda-forge/dm-acme,2023-06-16 19:23:44.096,9933.0,2.0,,,,,,google-deepmind/acme,,,,,,,,,,,,,,,,,,
+370,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2024-08-03 07:04:44.000000,2024-01-02 20:16:48,4161.0,,371.0,83.0,65.0,156.0,189.0,3289.0,a library for audio and music analysis.,25.0,28,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,15320.0,503.0,486.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,17.0,7418.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,719156.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+371,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,,387.0,46.0,1085.0,2.0,353.0,3281.0,Accelerated deep learning R&D.,104.0,28,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,['pytorch'],,34094.0,1229.0,1199.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,30.0,34094.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+372,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2024-08-29 16:58:41.000000,2024-08-29 16:58:41,621.0,2.0,334.0,46.0,121.0,72.0,137.0,2943.0,A python library for decision tree visualization and model interpretation.,27.0,28,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,118979.0,1367.0,1314.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,53.0,117176.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,84750.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+373,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,,429.0,62.0,933.0,325.0,747.0,2940.0,StellarGraph - Machine Learning on Graphs.,37.0,28,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,['tensorflow'],,16233.0,291.0,280.0,https://pypi.org/project/stellargraph,2021-02-22 06:35:38.731,11.0,16233.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+374,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2024-10-01 13:46:57.000000,2024-10-01 13:46:57,3630.0,25.0,522.0,108.0,361.0,388.0,688.0,2832.0,"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,,,,,17851.0,810.0,790.0,https://pypi.org/project/essentia,2024-04-29 15:12:27.000,20.0,17851.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+375,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2024-09-24 01:23:55.000000,2024-09-24 01:23:52,3553.0,9.0,333.0,154.0,1182.0,35.0,60.0,2722.0,Neural Network Libraries.,76.0,28,True,2024-05-29 05:14:17.000,1.39.0,79.0,nnabla,,,,979.0,7513.0,44.0,,https://pypi.org/project/nnabla,2024-05-29 02:51:02.000,44.0,7502.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+376,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2024-08-13 16:15:34.495000,2024-08-12 14:54:41,1058.0,5.0,411.0,124.0,144.0,198.0,247.0,2647.0,PYthon svg GrAph plotting Library.,77.0,28,False,2024-08-12 14:55:21.000,3.0.5,81.0,pygal,conda-forge/pygal,,,,239285.0,101.0,,https://pypi.org/project/pygal,2024-08-12 14:55:21.000,101.0,235954.0,https://anaconda.org/conda-forge/pygal,2024-08-13 16:15:34.495,69969.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+377,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2024-09-02 22:27:25.000000,2024-07-02 07:21:59,2916.0,,997.0,123.0,525.0,65.0,300.0,2585.0,IPython Parallel: Interactive Parallel Computing in Python.,113.0,28,False,2024-04-05 11:35:24.000,8.8.0,47.0,ipyparallel,conda-forge/ipyparallel,,['jupyter'],,479929.0,112.0,,https://pypi.org/project/ipyparallel,2024-04-05 11:35:24.000,112.0,456632.0,https://anaconda.org/conda-forge/ipyparallel,2024-04-05 13:21:22.787,1118297.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+378,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2024-08-20 05:47:39.000000,2018-08-19 12:37:47,130.0,,284.0,65.0,61.0,31.0,39.0,2428.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,28,False,2018-08-19 12:25:39.290,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,['sklearn'],,436368.0,5556.0,5471.0,https://pypi.org/project/scikit-plot,2018-08-19 12:25:39.290,85.0,434234.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,185689.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+379,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,,336.0,45.0,57.0,67.0,209.0,2365.0,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'],,12211.0,340.0,333.0,https://pypi.org/project/spektral,2024-01-21 16:17:36.000,7.0,12211.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+380,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,,315.0,65.0,14.0,28.0,47.0,2307.0,Stand-alone language identification system.,9.0,28,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,405393.0,11817.0,11662.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000,155.0,405393.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+381,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Intel,2019-10-07 13:29:13.000,2024-08-05 07:13:17.000000,2024-05-21 10:49:30,727.0,,221.0,40.0,546.0,136.0,235.0,2218.0,"Algorithms for outlier, adversarial and drift detection.",23.0,28,False,2024-04-17 16:12:46.000,0.12.0,38.0,alibi-detect,,,,,66460.0,488.0,481.0,https://pypi.org/project/alibi-detect,2024-04-17 16:12:46.000,7.0,66460.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+382,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2024-10-06 02:32:35.000000,2023-06-01 12:18:23,739.0,,320.0,44.0,44.0,99.0,56.0,2205.0,A modular active learning framework for Python.,20.0,28,False,2024-10-06 02:32:35.000,0.64.178,1298.0,modAL,,,['sklearn'],42.0,589731.0,59.0,,https://pypi.org/project/modAL,2024-10-06 02:32:35.000,59.0,589731.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+383,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2024-10-07 11:52:00.000000,2024-10-07 11:51:15,2256.0,156.0,135.0,27.0,255.0,5.0,42.0,2024.0,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,28,True,2024-09-15 02:15:00.000,0.5.3,147.0,labml,,,,,9399.0,186.0,172.0,https://pypi.org/project/labml,2024-09-15 02:15:00.000,14.0,9399.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+384,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2024-09-24 10:24:40.000000,2024-09-24 10:24:40,879.0,9.0,412.0,39.0,908.0,160.0,321.0,1924.0,A Python package to assess and improve fairness of machine learning models.,84.0,28,True,2023-12-19 14:14:09.000,0.10.0,20.0,fairlearn,conda-forge/fairlearn,,['sklearn'],,160559.0,58.0,3.0,https://pypi.org/project/fairlearn,2023-12-19 02:11:12.000,55.0,159781.0,https://anaconda.org/conda-forge/fairlearn,2023-12-20 11:56:56.090,36585.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+385,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2024-05-25 02:57:17.000000,2023-09-26 23:11:11,163.0,,197.0,34.0,73.0,29.0,52.0,1563.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,8.0,28,False,2023-09-26 22:07:23.000,0.2.6,5.0,torchsde,conda-forge/torchsde,,['pytorch'],,1875782.0,3823.0,3786.0,https://pypi.org/project/torchsde,2023-09-26 21:52:19.000,37.0,1875156.0,https://anaconda.org/conda-forge/torchsde,2023-06-16 19:24:16.458,28205.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+386,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2024-09-23 20:40:57.000000,2024-09-23 18:45:00,1017.0,35.0,592.0,106.0,292.0,22.0,300.0,1558.0,Execute Python code on the fly and display results in Tableau visualizations:.,51.0,28,True,2024-09-23 20:40:57.000,2.12.0,34.0,tabpy,anaconda/tabpy-client,,,,7228.0,180.0,178.0,https://pypi.org/project/tabpy,2024-09-23 20:40:57.000,2.0,7177.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4601.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+387,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 20:34:28.000,2024-09-25 00:22:42.000000,2024-09-25 00:22:36,832.0,1.0,320.0,120.0,785.0,225.0,168.0,1487.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",86.0,28,True,2024-02-08 02:06:46.000,0.8.0,31.0,tensorflow-model-optimization,,,['tensorflow'],,901394.0,45.0,,https://pypi.org/project/tensorflow-model-optimization,2024-02-08 01:57:17.000,45.0,901394.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+388,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2024-09-13 08:50:44.958000,2024-08-13 10:02:03,694.0,3.0,158.0,22.0,126.0,5.0,131.0,1456.0,"Extensible, parallel implementations of t-SNE.",12.0,28,True,2024-08-13 11:02:28.000,1.0.2,28.0,opentsne,conda-forge/opentsne,,,,42922.0,933.0,886.0,https://pypi.org/project/opentsne,2024-08-13 11:02:01.000,47.0,36570.0,https://anaconda.org/conda-forge/opentsne,2024-09-13 08:50:44.958,317601.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+389,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2024-08-28 13:05:22.000000,2024-08-28 13:05:21,610.0,18.0,417.0,31.0,51.0,16.0,128.0,1433.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,30.0,28,False,2024-08-23 12:23:48.000,2.3.3,26.0,minisom,,,,,26300.0,692.0,661.0,https://pypi.org/project/minisom,2024-08-23 12:22:45.000,31.0,26300.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+390,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2024-10-06 04:17:24.000000,2024-10-06 04:17:23,862.0,4.0,270.0,78.0,491.0,53.0,206.0,1389.0,Underthesea - Vietnamese NLP Toolkit.,19.0,28,False,2024-06-22 10:18:00.000,6.8.4,127.0,underthesea,,,,7093.0,19843.0,1212.0,1201.0,https://pypi.org/project/underthesea,2024-06-22 10:18:00.000,11.0,19764.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+391,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2024-08-06 17:18:34.000000,2023-06-06 09:46:40,415.0,,331.0,39.0,302.0,31.0,200.0,1270.0,A research toolkit for particle swarm optimization in Python.,45.0,28,False,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,27911.0,464.0,442.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,22.0,27911.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+392,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2024-09-23 20:28:23.000000,2024-09-23 20:28:19,536.0,10.0,115.0,26.0,386.0,31.0,286.0,1263.0,Extra blocks for scikit-learn pipelines.,67.0,28,True,2024-07-10 14:32:19.000,0.9.1,52.0,scikit-lego,conda-forge/scikit-lego,,['sklearn'],,27705.0,174.0,163.0,https://pypi.org/project/scikit-lego,2024-07-10 14:08:28.000,11.0,26646.0,https://anaconda.org/conda-forge/scikit-lego,2024-07-10 21:13:14.463,56169.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+393,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2024-06-19 19:59:13.000000,2024-01-17 21:03:09,532.0,,416.0,52.0,41.0,17.0,139.0,1239.0,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",22.0,28,True,2022-09-06 19:52:23.000,0.12.2,17.0,kmodes,conda-forge/kmodes,,,,276018.0,2877.0,2839.0,https://pypi.org/project/kmodes,2022-09-06 19:38:02.764,38.0,275100.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,49612.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+394,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,,444.0,43.0,176.0,93.0,102.0,1024.0,"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'],,3995023.0,311.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:55:22.223,311.0,3964618.0,https://anaconda.org/conda-forge/keras-preprocessing,2023-06-16 16:10:42.597,2310805.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+395,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2024-09-03 21:38:15.000000,2023-02-20 00:24:10,1723.0,,185.0,41.0,175.0,65.0,174.0,943.0,A Jupyter - Three.js bridge.,30.0,28,False,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,['jupyter'],,90256.0,96.0,,https://pypi.org/project/pythreejs,2023-02-20 00:24:01.104,82.0,81869.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,599618.0,3.0,,,,,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2023-02-20 00:16:17.277,14.0,2451.0,,,,,,,,,,,
+396,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2024-06-17 19:35:33.219000,2024-06-17 15:09:18,679.0,,106.0,14.0,99.0,73.0,67.0,881.0,A Python nearest neighbor descent for approximate nearest neighbors.,29.0,28,True,2024-06-17 15:48:31.000,0.5.13,32.0,pynndescent,conda-forge/pynndescent,,,,1470461.0,8162.0,8006.0,https://pypi.org/project/pynndescent,2024-06-17 15:48:31.000,156.0,1430478.0,https://anaconda.org/conda-forge/pynndescent,2024-06-17 19:35:33.219,2039144.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+397,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2024-07-18 20:23:32.152000,2024-07-17 19:01:14,1326.0,5.0,149.0,50.0,59.0,21.0,70.0,839.0,Computer Vision in Python.,35.0,28,True,2024-07-17 21:10:14.000,1.4.18,63.0,mahotas,conda-forge/mahotas,,,,36165.0,1423.0,1360.0,https://pypi.org/project/mahotas,2024-07-17 21:10:14.000,63.0,26510.0,https://anaconda.org/conda-forge/mahotas,2024-07-18 20:23:32.152,502098.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+398,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2024-07-27 07:14:46.000000,2024-07-27 07:14:46,566.0,2.0,106.0,16.0,196.0,119.0,139.0,705.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",34.0,28,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,20080.0,5745107.0,43859.0,43079.0,https://pypi.org/project/soundfile,2023-02-15 15:39:00.786,780.0,5744951.0,https://anaconda.org/anaconda/pysoundfile,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+399,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2024-07-03 17:04:15.000000,2024-07-03 17:02:18,237.0,,58.0,13.0,207.0,12.0,187.0,338.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",14.0,28,True,2024-07-03 17:04:15.000,3.10.0,73.0,pystan,conda-forge/pystan,,,,783642.0,10207.0,10046.0,https://pypi.org/project/pystan,2024-07-03 17:04:15.000,161.0,751695.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2907262.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+400,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,,1133.0,239.0,455.0,72.0,264.0,18047.0,"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,,,,,50091.0,,,https://pypi.org/project/ciphey,2021-06-06 17:15:00.281,,49679.0,,,,3.0,remnux/ciphey,https://hub.docker.com/r/remnux/ciphey,2023-10-14 18:53:31.974373,17.0,25956.0,,,,,,,,,,,,,,,,,,,
+401,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2024-06-16 11:20:30.000000,2024-06-16 11:20:30,100.0,,1815.0,206.0,74.0,113.0,37.0,10554.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,32.0,27,True,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,81054.0,16.0,2.0,https://pypi.org/project/english-words,2023-05-24 15:11:00.531,14.0,81054.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+402,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,,1367.0,425.0,50.0,102.0,88.0,10532.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,27,True,2024-05-06 20:38:27.000,4.0.9,47.0,dopamine-rl,,,['tensorflow'],,40190.0,31.0,21.0,https://pypi.org/project/dopamine-rl,2024-05-06 20:38:27.000,10.0,40190.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+403,pysc2,deepmind/pysc2,others,,https://github.com/google-deepmind/pysc2,https://github.com/google-deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2024-07-23 16:54:42.000000,2023-04-19 16:47:52,581.0,,1146.0,348.0,81.0,50.0,231.0,8005.0,StarCraft II Learning Environment.,39.0,27,False,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,31880.0,2937.0,847.0,821.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,2567.0,,,,3.0,,,,,,google-deepmind/pysc2,,,,,,,,,,,,,,,,,,
+404,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,,1523.0,131.0,51.0,163.0,141.0,7881.0,A PyTorch implementation of EfficientNet.,24.0,27,False,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,['pytorch'],4210859.0,244509.0,73.0,1.0,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000,72.0,167948.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+405,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,,1609.0,458.0,699.0,33.0,441.0,7328.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,136.0,27,False,2022-02-15 02:05:47.000,2.2.5,84.0,tensorlayer,,,['tensorflow'],2472.0,3234.0,11.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,11.0,3209.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+406,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,,1354.0,350.0,14.0,42.0,66.0,6408.0,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,22361.0,1434.0,1426.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,8.0,22361.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+407,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,,1586.0,627.0,2111.0,453.0,1338.0,6338.0,"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,,,,13.0,3257.0,21.0,21.0,https://pypi.org/project/nupic,2016-09-01 21:30:21.000,,3257.0,,,,3.0,,,,,,numenta/nupic-legacy,,,,,,,,,,,,,,,,,,
+408,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,,634.0,147.0,791.0,141.0,356.0,4771.0,Deep Learning Visualization Toolkit.,33.0,27,False,2023-06-05 07:21:00.910,2.5.3,43.0,visualdl,,,['paddle'],453.0,156480.0,84.0,2.0,https://pypi.org/project/visualdl,2023-06-05 07:21:00.910,82.0,156472.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+409,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2024-08-02 08:16:49.000000,2024-08-02 08:16:49,252.0,1.0,945.0,53.0,57.0,76.0,108.0,4477.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,18.0,27,True,2024-04-29 17:50:14.000,2.6.0,33.0,facenet-pytorch,,,['pytorch'],1315263.0,92409.0,2322.0,2271.0,https://pypi.org/project/facenet-pytorch,2024-04-29 17:50:14.000,51.0,70117.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+410,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,,999.0,147.0,31.0,52.0,77.0,4411.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,27,False,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,339550.0,9367.0,9270.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,97.0,339207.0,https://anaconda.org/conda-forge/vadersentiment,2023-06-16 19:25:16.902,14753.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+411,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2024-07-15 00:15:22.000000,2024-04-23 02:12:59,1138.0,,740.0,58.0,1015.0,187.0,742.0,4308.0,"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'],,8787.0,172.0,168.0,https://pypi.org/project/mmocr,2022-05-05 14:21:18.000,4.0,8787.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+412,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2024-09-27 16:58:57.000000,2023-07-05 18:14:28,901.0,,554.0,104.0,618.0,98.0,608.0,4279.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,27,False,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,['sklearn'],,383711.0,105.0,,https://pypi.org/project/yellowbrick,2022-08-21 16:11:55.287,105.0,382030.0,https://anaconda.org/conda-forge/yellowbrick,2023-06-16 19:21:13.554,84053.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+413,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,,412.0,37.0,56.0,138.0,43.0,4007.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,27,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,['pytorch'],,205229.0,16322.0,16187.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,135.0,205229.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+414,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,,964.0,282.0,226.0,12.0,356.0,3873.0,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']",,693109.0,5.0,,https://pypi.org/project/tensorflowonspark,2022-04-21 20:05:56.000,5.0,692688.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,24452.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+415,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2024-09-25 12:12:06.000000,2024-09-14 13:26:49,1669.0,20.0,670.0,44.0,28.0,9.0,556.0,3461.0,[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'],,4146.0,24.0,24.0,https://pypi.org/project/deepke,2023-09-21 04:12:03.000,,4146.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+416,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,,1136.0,165.0,215.0,49.0,146.0,3313.0,Performance analysis of predictive (alpha) stock factors.,26.0,27,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,2380.0,715.0,710.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,5.0,2104.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,22102.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+417,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2024-08-06 11:36:13.000000,2023-11-29 13:26:08,135.0,,277.0,53.0,21.0,45.0,97.0,2934.0,"Visualize and compare datasets, target values and associations, with one line of code.",11.0,27,True,2023-11-29 13:30:45.000,2.3.1,35.0,sweetviz,conda-forge/sweetviz,,,,81743.0,2590.0,2560.0,https://pypi.org/project/sweetviz,2023-11-29 13:27:52.000,30.0,80958.0,https://anaconda.org/conda-forge/sweetviz,2023-12-04 12:10:57.449,34541.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+418,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,,748.0,181.0,75.0,21.0,565.0,2814.0,Python sync/async framework for Interactive Brokers API.,36.0,27,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,54199.0,44.0,,https://pypi.org/project/ib_insync,2022-11-21 09:32:01.715,44.0,53449.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,47283.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+419,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,,421.0,46.0,366.0,22.0,350.0,2738.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",35.0,27,True,2024-03-04 20:59:17.000,3.3.4,71.0,foolbox,conda-forge/foolbox,,,,5843.0,646.0,632.0,https://pypi.org/project/foolbox,2024-03-04 20:59:17.000,14.0,5550.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,14965.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+420,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 02:26:03.000,2024-05-17 16:33:06.000000,2023-12-03 09:09:14,2415.0,,256.0,27.0,1132.0,77.0,224.0,2630.0,Database system for AI-powered apps.,73.0,27,True,2023-11-19 16:35:30.000,0.3.9,45.0,evadb,,,['pytorch'],415346.0,17324.0,148.0,148.0,https://pypi.org/project/evadb,2023-11-19 16:35:24.000,,1941.0,,,,3.0,,,,,,georgia-tech-db/evadb,,,,,,,,,,,,,,,,,,
+421,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 16:21:43.000,2024-08-22 18:44:14.000000,2024-08-22 18:30:45,140.0,15.0,336.0,31.0,327.0,40.0,341.0,2545.0,A Unified Library for Parameter-Efficient and Modular Transfer Learning.,13.0,27,True,2024-08-10 15:47:41.000,1.0.0,21.0,adapter-transformers,,,['huggingface'],,24491.0,120.0,108.0,https://pypi.org/project/adapter-transformers,2024-07-07 11:49:43.000,12.0,24491.0,,,,3.0,,,,,,adapter-hub/adapters,,,,,,,,,,,,,,,,,,
+422,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,,719.0,166.0,94.0,136.0,358.0,2487.0,An Algorithmic Trading Library for Crypto-Assets in Python.,152.0,27,False,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,2210.0,29.0,27.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,2210.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+423,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,,255.0,87.0,124.0,33.0,230.0,2209.0,"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,,,,34597.0,1936.0,1870.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,66.0,32757.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,163789.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+424,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,,317.0,63.0,38.0,97.0,160.0,2177.0,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'],,13178.0,386.0,380.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,6.0,13178.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+425,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2024-10-07 11:50:22.000000,2024-09-23 17:14:22,14660.0,13.0,86.0,42.0,59.0,13.0,78.0,2162.0,The friendly PIL fork.,435.0,27,False,,,72.0,pillow-simd,,,,,39320.0,65.0,,https://pypi.org/project/pillow-simd,2024-09-23 18:27:59.000,65.0,39320.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+426,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,,281.0,40.0,495.0,172.0,151.0,1787.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,50.0,27,True,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,516.0,163625.0,190.0,182.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,8.0,163619.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+427,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,,213.0,36.0,1081.0,25.0,496.0,1742.0,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'],,3286.0,305.0,300.0,https://pypi.org/project/lightning-flash,2022-05-11 18:17:54.000,5.0,2695.0,https://anaconda.org/conda-forge/lightning-flash,2023-07-04 02:12:18.993,22471.0,2.0,,,,,,Lightning-Universe/lightning-flash,,,,,,,,,,,,,,,,,,
+428,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,,245.0,53.0,446.0,6.0,402.0,1735.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,27,False,2023-03-07 23:47:39.075,0.7.1,25.0,farm,conda-forge/farm,,['pytorch'],,33745.0,232.0,229.0,https://pypi.org/project/farm,2020-09-14 15:23:01.000,3.0,33652.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,3936.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+429,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2024-10-09 23:09:15.000000,2024-10-09 16:29:01,6619.0,131.0,300.0,45.0,2937.0,173.0,1573.0,1688.0,cuGraph - RAPIDS Graph Analytics Library.,117.0,27,True,2024-10-09 20:36:36.000,24.10.00,40.0,cugraph,conda-forge/libcugraph,,,,865.0,4.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,4.0,300.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,23739.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+430,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,,312.0,73.0,742.0,58.0,168.0,1481.0,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,,,,,2766.0,411.0,409.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,2.0,2766.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+431,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2024-08-01 05:16:36.000000,2023-11-06 15:20:05,206.0,,330.0,50.0,44.0,99.0,114.0,1389.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,18.0,27,True,2023-11-06 16:35:44.000,0.9.3,33.0,keras-ocr,anaconda/keras-ocr,,['tensorflow'],1696553.0,72564.0,581.0,573.0,https://pypi.org/project/keras-ocr,2023-11-06 16:35:44.000,8.0,37934.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,334.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+432,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2024-10-02 18:05:47.000000,2024-10-02 18:05:45,687.0,9.0,165.0,49.0,164.0,25.0,384.0,1365.0,moDel Agnostic Language for Exploration and eXplanation.,26.0,27,False,2024-10-02 18:03:07.000,1.7.1,28.0,dalex,conda-forge/dalex,,,,23581.0,190.0,183.0,https://pypi.org/project/dalex,2024-10-02 18:03:07.000,7.0,23213.0,https://anaconda.org/conda-forge/dalex,2024-02-29 10:49:59.696,16566.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+433,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2024-08-25 11:43:40.000000,2024-08-25 11:43:40,1753.0,1.0,202.0,43.0,258.0,68.0,213.0,1313.0,Python audio and music signal processing library.,24.0,27,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,2631.0,466.0,439.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,27.0,2631.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+434,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2024-07-26 06:19:42.000000,2020-10-14 13:22:39,167.0,,396.0,71.0,89.0,36.0,26.0,1286.0,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,,,,23587.0,1521.0,1465.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,56.0,23220.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,29392.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+435,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,,175.0,25.0,36.0,1.0,116.0,1251.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,27,False,2021-10-21 17:50:40.000,0.7.0,29.0,fancyimpute,,,['sklearn'],,115019.0,1696.0,1675.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,21.0,115019.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+436,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 21:45:49.000,2024-06-18 04:54:15.000000,2022-12-22 14:52:10,805.0,,148.0,34.0,215.0,118.0,152.0,1239.0,Real-time stream processing for python.,48.0,27,False,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,130218.0,551.0,494.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,57.0,117923.0,https://anaconda.org/conda-forge/streamz,2023-06-16 13:22:22.238,1045145.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+437,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,,250.0,41.0,39.0,76.0,591.0,1166.0,"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,,,600.0,29556.0,774.0,742.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,32.0,27787.0,https://anaconda.org/conda-forge/pyclustering,2023-11-16 19:00:50.847,89928.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+438,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2024-09-10 20:53:34.000000,2024-09-10 20:53:34,939.0,3.0,211.0,58.0,103.0,45.0,174.0,984.0,Input pipeline framework.,29.0,27,True,2024-04-24 22:55:08.000,1.15.0,57.0,tensorflow-transform,,,['tensorflow'],,506609.0,18.0,,https://pypi.org/project/tensorflow-transform,2024-04-24 22:55:08.000,18.0,506609.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+439,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2024-10-02 09:22:49.000000,2024-02-29 13:41:11,1144.0,,236.0,61.0,249.0,22.0,367.0,979.0,Search and download Copernicus Sentinel satellite images.,44.0,27,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,313.0,30381.0,622.0,588.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,34.0,29700.0,https://anaconda.org/conda-forge/sentinelsat,2023-06-16 19:22:55.678,32564.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+440,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 15:56:06.000,2024-07-21 18:27:09.000000,2024-07-20 22:10:37,819.0,1.0,255.0,40.0,513.0,280.0,257.0,897.0,Scalable Machine Learning with Dask.,80.0,27,True,2024-04-02 02:33:18.000,2024.4.4,37.0,dask-ml,conda-forge/dask-ml,,,,136037.0,1207.0,1114.0,https://pypi.org/project/dask-ml,2024-04-02 02:33:18.000,93.0,119138.0,https://anaconda.org/conda-forge/dask-ml,2024-06-17 15:22:39.176,895667.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+441,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2024-09-14 05:03:32.000000,2024-09-14 05:03:32,1368.0,6.0,139.0,25.0,487.0,17.0,140.0,868.0,A Comparative Framework for Multimodal Recommender Systems.,22.0,27,True,2024-08-15 06:25:57.000,2.2.2,59.0,cornac,conda-forge/cornac,,,,58902.0,256.0,238.0,https://pypi.org/project/cornac,2024-08-15 06:52:10.000,18.0,47729.0,https://anaconda.org/conda-forge/cornac,2024-09-13 18:17:19.820,581021.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+442,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2024-08-20 16:20:38.000000,2021-02-11 16:40:18,279.0,,81.0,12.0,50.0,22.0,53.0,788.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,7.0,27,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,899636.0,4006.0,3929.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,77.0,899446.0,https://anaconda.org/conda-forge/pysbd,2023-06-16 19:27:37.870,6865.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+443,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2024-10-05 19:22:51.000000,2024-10-05 19:22:51,630.0,11.0,164.0,31.0,223.0,5.0,103.0,632.0,Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python.,35.0,27,True,2024-10-03 19:57:53.000,0.7,13.0,pyriemann,conda-forge/pyriemann,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],,37818.0,424.0,396.0,https://pypi.org/project/pyriemann,2024-10-03 19:58:27.000,28.0,37528.0,https://anaconda.org/conda-forge/pyriemann,2024-10-04 03:48:24.751,8120.0,3.0,,,,,,,2.0,,,,,,,,,,,,,,,,,
+444,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 21:15:41.000,2024-06-18 11:08:22.000000,2019-12-05 08:17:22,46.0,,217.0,22.0,17.0,46.0,23.0,426.0,scikit-learn inspired API for CRFsuite.,6.0,27,False,2024-06-18 11:08:22.000,0.5.0,11.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,['sklearn'],,243392.0,8045.0,7906.0,https://pypi.org/project/sklearn-crfsuite,2024-06-18 11:08:22.000,139.0,242637.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,40795.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+445,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,,2010-05-02 10:00:33.000,2024-10-06 20:12:28.000000,2024-10-06 19:51:01,6795.0,79.0,145.0,36.0,412.0,37.0,140.0,383.0,Neuroimaging in Python FMRI analysis package.,71.0,27,False,2024-10-06 19:42:32.000,0.6.1,9.0,nipy,conda-forge/nipy,,,,47068.0,259.0,235.0,https://pypi.org/project/nipy,2024-10-06 19:42:32.000,24.0,5297.0,https://anaconda.org/conda-forge/nipy,2024-07-28 17:27:34.085,125315.0,3.0,,,,,,,3.0,,,,,,,,,,,,,,,,,
+446,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,,1203.0,184.0,213.0,30.0,534.0,9279.0,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,,,,,13367.0,297.0,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+447,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2024-09-10 20:43:39.000000,2024-09-10 20:43:30,1626.0,7.0,814.0,141.0,1571.0,122.0,125.0,8072.0,Trax Deep Learning with Clear Code and Speed.,80.0,26,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,5967.0,179.0,178.0,https://pypi.org/project/trax,2021-10-26 20:29:00.538,1.0,5967.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+448,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2024-08-21 07:30:27.000000,2024-08-21 07:30:27,13839.0,31.0,1545.0,136.0,3616.0,61.0,1976.0,5676.0,An Industrial Grade Federated Learning Framework.,101.0,26,True,2024-07-31 11:47:02.000,2.2.0,51.0,ETAF,,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+449,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2024-07-03 08:05:36.000000,2020-05-03 07:13:22,108.0,,599.0,142.0,31.0,69.0,55.0,5584.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,26,False,,,18.0,flashtext,conda-forge/flashtext,,,,1692464.0,1853.0,1797.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,56.0,1692077.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,19785.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+450,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,,867.0,123.0,64.0,136.0,74.0,5061.0,Image augmentation library in Python for machine learning.,23.0,26,False,2023-03-29 07:06:01.465,0.2.12,24.0,Augmentor,,,,,12966.0,838.0,826.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,12.0,12966.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+451,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2024-06-09 21:29:46.000000,2024-06-09 21:29:43,1062.0,,982.0,243.0,217.0,51.0,203.0,4525.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,26,True,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,1387.0,63.0,62.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,1292.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,4013.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+452,MatchZoo,NTMC-Community/MatchZoo,nlp,,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000,2024-08-02 16:23:45.000000,2021-06-02 17:38:16,1810.0,,917.0,176.0,386.0,33.0,430.0,3836.0,"Facilitating the design, comparison and sharing of deep text matching models.",37.0,26,False,2019-10-24 13:09:11.000,2.2.0,5.0,matchzoo,,,['tensorflow'],,153.0,18.0,18.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000,,153.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+453,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2024-07-31 20:26:54.000000,2024-07-31 20:26:47,2116.0,2.0,532.0,141.0,240.0,42.0,635.0,3298.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,85.0,26,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,['tensorflow'],,1220.0,459.0,455.0,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,4.0,1220.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+454,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,,1050.0,215.0,3649.0,429.0,1111.0,3031.0,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,,,,1689.0,,,,,,,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,146241.0,3.0,shogun/shogun,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1516.0,,,,,,,,,shogun,,,,,,,,,,
+455,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,,295.0,33.0,476.0,54.0,30.0,3022.0,torch-optimizer -- collection of optimizers for Pytorch.,26.0,26,False,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,['pytorch'],,162029.0,86.0,,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,86.0,161753.0,https://anaconda.org/conda-forge/torch-optimizer,2023-06-16 19:25:40.043,11617.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+456,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2024-07-25 18:53:58.000000,2024-07-25 18:53:58,2707.0,2.0,381.0,38.0,522.0,59.0,217.0,2925.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",66.0,26,True,2024-03-11 02:20:29.000,0.3.10,47.0,textattack,conda-forge/textattack,,,,5222.0,313.0,302.0,https://pypi.org/project/textattack,2024-03-11 02:20:29.000,11.0,5048.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,8544.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+457,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2024-06-02 15:40:01.000000,2024-06-02 15:40:01,251.0,,330.0,30.0,322.0,82.0,39.0,2874.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,18.0,26,True,2022-09-28 08:51:19.531,0.2.12,12.0,lazypredict,conda-forge/lazypredict,,['sklearn'],,17713.0,1106.0,1105.0,https://pypi.org/project/lazypredict,2022-09-28 08:51:19.531,1.0,17620.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,3565.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+458,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2024-08-03 17:30:36.000000,2022-10-05 16:26:03,376.0,,233.0,50.0,482.0,45.0,70.0,2807.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,26,False,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,84.0,31165.0,265.0,262.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,31164.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+459,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,,223.0,64.0,42.0,17.0,24.0,2781.0,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,,,,70510.0,1143.0,1138.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,70241.0,https://anaconda.org/conda-forge/knockknock,2023-06-16 16:18:44.705,16166.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+460,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,,329.0,68.0,167.0,164.0,113.0,2756.0,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,,,,177613.0,61.0,,https://pypi.org/project/eli5,2022-05-11 09:37:12.000,61.0,175765.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,164494.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+461,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,,473.0,97.0,43.0,89.0,240.0,2736.0,Learning to Rank in TensorFlow.,36.0,26,True,2024-03-18 21:00:38.000,0.5.5,23.0,tensorflow_ranking,,,['tensorflow'],,106094.0,15.0,,https://pypi.org/project/tensorflow_ranking,2024-03-18 21:00:38.000,15.0,106094.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+462,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2024-10-09 14:10:58.000000,2023-07-23 14:42:27,191.0,,483.0,38.0,250.0,52.0,289.0,2612.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,26,False,2023-07-23 13:34:05.000,4.1.0,19.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,['pytorch'],,42110.0,11.0,,https://pypi.org/project/pytorch-tabnet,2023-07-23 13:26:57.000,11.0,41869.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-12-20 04:10:30.919,8219.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+463,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2024-07-05 14:45:32.000000,2024-07-05 14:45:32,437.0,,829.0,90.0,287.0,200.0,103.0,2425.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",73.0,26,True,2024-04-08 20:03:12.000,0.6.1,12.0,aif360,conda-forge/aif360,,,,35813.0,526.0,494.0,https://pypi.org/project/aif360,2024-04-08 20:03:12.000,32.0,35510.0,https://anaconda.org/conda-forge/aif360,2024-04-09 06:44:48.814,14867.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+464,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Intel,2019-02-26 10:10:56.000,2024-07-12 00:39:50.000000,2024-05-21 08:57:13,663.0,,249.0,56.0,659.0,147.0,225.0,2392.0,Algorithms for explaining machine learning models.,22.0,26,False,2024-04-18 15:30:25.000,0.9.6,34.0,alibi,,,,,19437.0,686.0,661.0,https://pypi.org/project/alibi,2024-04-18 15:29:10.000,25.0,19437.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+465,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,,337.0,77.0,55.0,169.0,68.0,2309.0,Multilingual text (NLP) processing toolkit.,26.0,26,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,43273.0,1420.0,1371.0,https://pypi.org/project/polyglot,2021-12-15 16:11:38.716,49.0,43273.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+466,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2024-09-23 05:35:47.000000,2024-09-23 05:24:01,389.0,1.0,289.0,55.0,14.0,22.0,80.0,2236.0,Beautiful visualizations of how language differs among document types.,14.0,26,True,2024-09-23 05:35:47.000,0.2.2,151.0,scattertext,conda-forge/scattertext,,,,20403.0,638.0,633.0,https://pypi.org/project/scattertext,2024-09-23 05:35:47.000,5.0,19255.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,98741.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+467,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,,251.0,66.0,63.0,41.0,198.0,2143.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,21.0,26,True,2024-02-28 15:44:03.000,2.1.0,15.0,ampligraph,,,['tensorflow'],,1462.0,58.0,56.0,https://pypi.org/project/ampligraph,2024-02-26 17:12:26.000,2.0,1462.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+468,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2024-07-16 08:39:07.000000,2024-05-21 15:42:46,481.0,,336.0,64.0,160.0,13.0,92.0,2133.0,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,,,,,70461.0,745.0,726.0,https://pypi.org/project/pytextrank,2024-02-21 23:17:37.000,19.0,70461.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+469,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,,463.0,38.0,43.0,64.0,58.0,2066.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,26,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,['tensorflow'],260376.0,119478.0,2307.0,2293.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,115462.0,https://anaconda.org/anaconda/efficientnet,2024-04-08 21:03:52.579,525.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+470,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2024-09-20 02:51:44.000000,2024-09-20 02:51:40,888.0,16.0,444.0,60.0,357.0,117.0,92.0,1928.0,Library for training machine learning models with privacy for training data.,59.0,26,True,2024-02-14 19:18:00.000,0.9.0,31.0,tensorflow-privacy,,,['tensorflow'],173.0,25254.0,21.0,,https://pypi.org/project/tensorflow-privacy,2024-02-14 19:08:50.000,21.0,25252.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+471,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,,310.0,56.0,1313.0,234.0,810.0,1868.0,A toolkit for reproducible reinforcement learning research.,79.0,26,False,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,['tensorflow'],,1211.0,119.0,115.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,4.0,1211.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+472,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2024-09-04 08:38:12.000000,2024-08-31 13:01:11,360.0,19.0,307.0,1.0,1.0,1.0,,1843.0,Feature engineering package with sklearn like functionality.,49.0,26,True,2024-08-31 13:22:28.000,1.8.1,41.0,feature_engine,conda-forge/feature_engine,,,,178329.0,159.0,,https://pypi.org/project/feature_engine,2024-08-31 13:22:28.000,159.0,177174.0,https://anaconda.org/conda-forge/feature_engine,2024-09-01 13:51:20.563,57775.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+473,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,,160.0,60.0,68.0,67.0,130.0,1820.0,A Python toolbox for gaining geometric insights into high-dimensional data.,22.0,26,True,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,49.0,1597.0,485.0,483.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,2.0,1597.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+474,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2024-06-21 10:56:28.000000,2024-06-03 08:29:10,3912.0,,288.0,29.0,578.0,92.0,722.0,1760.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,80.0,26,True,2024-02-27 17:02:40.000,0.5.0,8.0,avalanche-lib,,,,35.0,2168.0,109.0,106.0,https://pypi.org/project/avalanche-lib,2024-02-27 16:52:08.000,3.0,2168.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+475,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,,161.0,25.0,81.0,46.0,35.0,1759.0,A Python package for time series classification.,14.0,26,False,2023-06-18 12:36:11.801,0.13.0,19.0,pyts,conda-forge/pyts,,,,171620.0,743.0,698.0,https://pypi.org/project/pyts,2023-06-18 12:36:11.801,45.0,170866.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,27153.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+476,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2024-06-10 12:09:16.000000,2024-06-10 12:07:33,223.0,,196.0,32.0,20.0,3.0,91.0,1716.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",17.0,26,True,2024-06-10 12:09:16.000,0.1.905,90.0,autoviz,conda-forge/autoviz,,,,47030.0,775.0,764.0,https://pypi.org/project/autoviz,2024-06-10 12:09:16.000,11.0,45326.0,https://anaconda.org/conda-forge/autoviz,2024-04-26 17:50:17.078,64776.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+477,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2024-10-10 06:09:56.000000,2024-10-10 06:03:46,1007.0,53.0,267.0,43.0,849.0,79.0,66.0,1659.0,A lightweight library for PyTorch training tools and utilities.,133.0,26,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,['pytorch'],,5748.0,24.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,24.0,5748.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+478,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,,275.0,51.0,87.0,22.0,191.0,1593.0,"Genetic Programming in Python, with a scikit-learn inspired API.",11.0,26,False,2022-05-03 10:56:08.000,0.4.2,7.0,gplearn,conda-forge/gplearn,,['sklearn'],,37268.0,677.0,658.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,19.0,37117.0,https://anaconda.org/conda-forge/gplearn,2023-06-16 19:20:25.471,7857.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+479,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,,309.0,28.0,380.0,56.0,155.0,1570.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,26,False,2023-09-26 07:49:38.000,2.2.6,21.0,pgl,,,['paddle'],,4680.0,62.0,61.0,https://pypi.org/project/pgl,2023-09-26 07:49:38.000,1.0,4680.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+480,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2024-10-08 09:03:57.000000,2023-06-07 07:35:59,3033.0,,123.0,36.0,361.0,12.0,187.0,1447.0,Multi-class confusion matrix library in Python.,17.0,26,False,2023-06-07 14:06:28.000,4.0,44.0,pycm,,,,,40173.0,365.0,341.0,https://pypi.org/project/pycm,2023-06-07 14:08:01.991,24.0,40173.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+481,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 20:46:53.000,2024-08-09 14:16:22.000000,2024-08-07 01:34:48,1970.0,1.0,344.0,31.0,2280.0,86.0,231.0,1356.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,43.0,26,True,2024-07-08 18:03:34.000,0.36.0,57.0,raiwidgets,,,"['pytorch', 'tensorflow', 'jupyter']",,10651.0,6.0,,https://pypi.org/project/raiwidgets,2024-07-08 16:42:42.000,6.0,10651.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+482,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2024-10-10 14:14:53.000000,2024-10-02 15:12:44,2134.0,89.0,388.0,58.0,543.0,176.0,257.0,1246.0,Machine learning on FPGAs using HLS.,62.0,26,True,2023-12-19 21:00:58.000,0.8.1,16.0,hls4ml,conda-forge/hls4ml,,"['tensorflow', 'pytorch']",,1595.0,,,https://pypi.org/project/hls4ml,2023-12-19 21:00:58.000,,1417.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,8748.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+483,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2024-10-10 15:24:48.000000,2024-10-10 00:31:40,2542.0,92.0,94.0,19.0,1134.0,74.0,235.0,1135.0,"MetricFlow allows you to define, build, and maintain metrics in code.",45.0,26,False,2024-06-11 22:06:04.000,0.206.0,88.0,metricflow,,,,,24610.0,29.0,25.0,https://pypi.org/project/metricflow,2024-07-09 00:14:45.000,4.0,24610.0,,,,3.0,,,,,,dbt-labs/metricflow,,,,,,,,,,,,,,,,,,
+484,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2024-09-26 19:00:31.000000,2024-09-26 18:59:07,823.0,9.0,121.0,31.0,425.0,80.0,334.0,1067.0,BAyesian Model-Building Interface (Bambi) in Python.,40.0,26,True,2024-07-10 09:48:04.000,0.14.0,29.0,bambi,conda-forge/bambi,,,,32170.0,160.0,150.0,https://pypi.org/project/bambi,2024-07-10 09:48:04.000,10.0,31351.0,https://anaconda.org/conda-forge/bambi,2024-07-10 16:37:21.380,37683.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+485,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,,261.0,44.0,72.0,104.0,188.0,927.0,Gaussian Process Optimization using GPy.,50.0,26,False,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,33145.0,571.0,534.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,37.0,33145.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+486,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,,174.0,33.0,86.0,88.0,123.0,921.0,A scikit-learn based module for multi-label et. al. classification.,28.0,26,False,2018-12-10 16:24:47.000,0.2.0,7.0,scikit-multilearn,,,['sklearn'],,55518.0,1803.0,1778.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,25.0,55518.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+487,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 15:47:02.000,2024-10-03 01:29:04.000000,2024-10-03 00:42:09,971.0,6.0,170.0,47.0,88.0,37.0,144.0,759.0,Library for exploring and validating machine learning data.,27.0,26,True,2024-10-03 00:57:52.000,1.16.0,47.0,tensorflow-data-validation,,,"['tensorflow', 'jupyter']",867.0,188823.0,31.0,,https://pypi.org/project/tensorflow-data-validation,2024-10-03 01:29:04.000,31.0,188812.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+488,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2024-09-21 16:06:04.000000,2024-09-21 16:05:44,484.0,7.0,49.0,9.0,65.0,190.0,253.0,638.0,python binding for libvips using cffi.,16.0,26,True,2024-04-28 11:19:58.000,2.2.3,26.0,pyvips,conda-forge/pyvips,,,,75397.0,884.0,807.0,https://pypi.org/project/pyvips,2024-04-28 11:19:58.000,77.0,72655.0,https://anaconda.org/conda-forge/pyvips,2024-09-06 03:01:34.001,131643.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+489,quinn,MrPowers/quinn,ml-experiments,,https://github.com/mrpowers-io/quinn,https://github.com/mrpowers-io/quinn,Apache-2.0,2017-09-15 13:02:42.000,2024-10-10 11:42:00.000000,2024-10-10 11:40:47,365.0,17.0,97.0,20.0,147.0,36.0,98.0,628.0,pyspark methods to enhance developer productivity.,32.0,26,True,2024-02-13 12:31:37.000,0.10.3,16.0,quinn,,,['spark'],40.0,650845.0,92.0,85.0,https://pypi.org/project/quinn,2024-02-13 12:31:37.000,7.0,650845.0,,,,3.0,,,,,,mrpowers-io/quinn,,,,,,,,,,,,,,,,,,
+490,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 21:02:09.000,2024-10-09 18:57:29.000000,2024-10-09 18:57:29,854.0,9.0,145.0,29.0,96.0,49.0,75.0,618.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,20.0,26,True,2024-10-01 23:08:54.000,1.16.0,44.0,ml-metadata,,,,2670.0,77372.0,600.0,569.0,https://pypi.org/project/ml-metadata,2024-10-01 23:08:54.000,31.0,77333.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+491,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2024-06-05 18:36:28.000000,2023-08-23 17:20:54,1241.0,,154.0,18.0,717.0,27.0,208.0,501.0,A package built to support working with spatial data using open source python.,44.0,26,False,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,11362.0,388.0,371.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,10113.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,82459.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+492,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2024-08-02 00:43:48.000000,2024-08-02 00:21:15,339.0,79.0,30.0,9.0,7.0,7.0,78.0,343.0,Multiple Imputation with LightGBM in Python.,8.0,26,True,2024-08-02 00:43:48.000,6.0.3,48.0,miceforest,conda-forge/miceforest,,,,65379.0,174.0,165.0,https://pypi.org/project/miceforest,2024-08-02 00:43:48.000,9.0,64989.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,15237.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,
+493,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2024-10-10 11:04:43.478000,2024-10-09 09:55:44,538.0,3.0,40.0,5.0,16.0,6.0,52.0,341.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,15.0,26,True,2024-10-09 10:34:12.000,0.9.1,26.0,scikit-posthocs,conda-forge/scikit-posthocs,,['sklearn'],64.0,100605.0,897.0,843.0,https://pypi.org/project/scikit-posthocs,2024-10-09 10:34:12.000,54.0,80363.0,https://anaconda.org/conda-forge/scikit-posthocs,2024-10-10 11:04:43.478,971621.0,3.0,,,,,,,2.0,,,,,,,,,,,,,,,,,
+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,,801.0,168.0,1588.0,145.0,74.0,6339.0,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'],404.0,409.0,21.0,21.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,,404.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+495,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 21:45:14.000,2024-09-20 17:59:42.000000,2024-06-28 18:04:28,599.0,,748.0,107.0,590.0,107.0,345.0,6137.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,59.0,25,True,2023-03-30 16:55:07.154,0.9.4,29.0,t5,,,['tensorflow'],,60212.0,2.0,,https://pypi.org/project/t5,2021-10-18 13:55:26.000,2.0,60212.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+496,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2024-05-29 15:42:28.000000,2022-09-22 23:59:07,1084.0,,966.0,181.0,328.0,338.0,294.0,5792.0,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,,,,3833.0,683.0,136.0,136.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,,637.0,,,,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 10:20:41.000,2024-06-23 12:28:48.000000,2024-06-23 12:28:48,343.0,,988.0,46.0,34.0,66.0,112.0,5222.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",24.0,25,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,['sklearn'],,6658.0,243.0,228.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,15.0,6658.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+498,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2024-10-10 07:07:55.000000,2024-10-10 07:07:55,3696.0,79.0,615.0,92.0,4059.0,241.0,1404.0,5099.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,93.0,25,True,2024-09-30 16:53:23.000,1.42.0,83.0,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+499,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2024-10-09 22:24:15.000000,2024-10-09 22:17:48,223.0,5.0,298.0,78.0,179.0,24.0,54.0,4954.0,"A data augmentations library for audio, image, text, and video.",37.0,25,True,2023-12-05 20:52:12.000,1.0.1,18.0,augly,,,,,3010.0,146.0,142.0,https://pypi.org/project/augly,2023-12-05 20:52:12.000,4.0,3010.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+500,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,,658.0,158.0,130.0,83.0,101.0,4655.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,['tensorflow'],,1077.0,790.0,784.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,1077.0,,,,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,,511.0,133.0,649.0,65.0,198.0,3889.0,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,,,,,4324.0,13.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,13.0,4324.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+502,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2024-10-09 23:39:47.000000,2024-06-26 19:01:50,1492.0,,353.0,68.0,1440.0,109.0,85.0,3474.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,38.0,25,True,2024-06-26 16:33:42.000,1.2,17.0,lit-nlp,conda-forge/lit-nlp,,,,5565.0,42.0,39.0,https://pypi.org/project/lit-nlp,2024-06-26 16:32:34.000,3.0,3721.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,90359.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+503,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,,527.0,173.0,50.0,67.0,49.0,3470.0,Fast and flexible AutoML with learning guarantees.,27.0,25,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,['tensorflow'],,1856.0,62.0,60.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,2.0,1856.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+504,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2024-09-05 04:03:54.000000,2024-09-05 04:03:53,4353.0,8.0,603.0,41.0,1012.0,283.0,708.0,3383.0,"A unified, comprehensive and efficient recommendation library.",74.0,25,True,2023-11-04 11:23:19.000,1.2.0,10.0,recbole,aibox/recbole,,['pytorch'],,45624.0,2.0,,https://pypi.org/project/recbole,2023-10-31 12:52:34.000,2.0,45493.0,https://anaconda.org/aibox/recbole,2023-11-01 15:53:42.380,6175.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+505,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2024-09-17 13:21:51.000000,2024-08-17 14:22:50,2847.0,45.0,1239.0,134.0,1114.0,50.0,83.0,3359.0,a distributed deep learning platform.,91.0,25,True,2020-04-21 08:01:08.000,3.0.0,3.0,,nusdbsystem/singa,,,,71.0,5.0,5.0,,,,,https://anaconda.org/nusdbsystem/singa,,,3.0,apache/singa,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,8095.0,,,,,,,,,,,,,,,,,,,
+506,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2024-10-10 01:26:47.000000,2024-09-27 21:49:19,477.0,7.0,276.0,51.0,475.0,70.0,260.0,3338.0,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,,,695.0,8934.0,7.0,,https://pypi.org/project/hummingbird-ml,2024-03-08 20:21:40.000,7.0,7784.0,https://anaconda.org/conda-forge/hummingbird-ml,2024-03-08 22:15:29.532,48904.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+507,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2024-08-13 17:52:35.000000,2024-08-13 17:16:53,181.0,1.0,410.0,156.0,85.0,105.0,101.0,3294.0,A deep learning library for video understanding research.,56.0,25,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,['pytorch'],,19175.0,24.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,24.0,19175.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+508,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2024-07-30 10:50:08.000000,2024-07-09 09:34:16,515.0,,815.0,62.0,642.0,133.0,404.0,3255.0,A high-performance distributed training framework for Reinforcement Learning.,45.0,25,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,['paddle'],,1293.0,131.0,130.0,https://pypi.org/project/parl,2022-05-13 04:46:41.000,1.0,1293.0,,,,3.0,,,,,,,2.0,,,,,,,,,,,,,,,,,
+509,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2024-10-10 08:29:16.000000,2024-10-10 08:29:16,1580.0,4.0,246.0,29.0,2017.0,5.0,659.0,3185.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,37.0,25,True,2023-12-05 02:33:36.000,1.1.3,26.0,towhee,,,,2710.0,14667.0,,,https://pypi.org/project/towhee,2023-12-04 07:25:10.000,,14588.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+510,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,,528.0,111.0,73.0,193.0,118.0,3086.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,25,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,4705.0,1114.0,164.0,152.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,1055.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+511,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,,664.0,71.0,25.0,117.0,101.0,2979.0,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'],,1390.0,2975.0,2974.0,https://pypi.org/project/keras-vis,2017-07-06 05:11:22.255,1.0,1390.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+512,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,,475.0,97.0,49.0,65.0,254.0,2853.0,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,,,1077.0,3843.0,748.0,727.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,21.0,3499.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,18599.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+513,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2024-09-03 21:05:29.000000,2021-07-09 03:57:16,955.0,,440.0,64.0,123.0,32.0,350.0,2389.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,25,False,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,['tensorflow'],,466.0,72.0,70.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,466.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+514,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2024-07-27 16:14:52.000000,2024-07-27 16:14:15,696.0,1.0,243.0,35.0,147.0,24.0,145.0,2389.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,31.0,25,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,333.0,23081.0,237.0,228.0,https://pypi.org/project/norfair,2022-05-30 21:14:58.000,9.0,23075.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+515,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2024-06-26 08:22:56.000000,2024-02-10 10:17:50,226.0,,255.0,50.0,98.0,23.0,116.0,2226.0,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']",,10324.0,134.0,130.0,https://pypi.org/project/causalnex,2023-06-22 13:11:59.629,4.0,10324.0,,,,3.0,,,,,,mckinsey/causalnex,,,,,,,,,,,,,,,,,,
+516,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,,251.0,56.0,56.0,19.0,50.0,2212.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,25,False,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,['pytorch'],,9377.0,745.0,726.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,19.0,9377.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+517,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,,240.0,70.0,21.0,93.0,66.0,2109.0,Open source time series library for Python.,6.0,25,False,2017-11-21 16:27:06.000,0.4.16,36.0,pyflux,,,,,238332.0,278.0,274.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,4.0,238332.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+518,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,,269.0,27.0,187.0,11.0,390.0,1621.0,Hyperparameter Experiments with TensorFlow and Keras.,23.0,25,True,2024-04-21 09:02:06.000,1.4,18.0,talos,,,['tensorflow'],,2142.0,199.0,191.0,https://pypi.org/project/talos,2024-04-21 09:02:29.000,8.0,2142.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+519,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2024-08-04 13:39:34.000000,2022-08-31 01:52:51,509.0,,308.0,102.0,49.0,8.0,151.0,1573.0,Distributed Deep learning with Keras & Spark.,27.0,25,False,2024-08-04 13:39:34.000,6.1.0,44.0,elephas,conda-forge/elephas,,"['keras', 'spark']",,40208.0,,,https://pypi.org/project/elephas,2024-08-04 13:39:34.000,,39962.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,15281.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+520,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 19:35:56.000,2024-06-13 23:15:42.000000,2024-06-13 23:15:42,109.0,,214.0,43.0,12.0,4.0,51.0,1565.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,25,True,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,['pytorch'],,159615.0,259.0,255.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,4.0,159615.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+521,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2024-10-08 05:32:52.462000,2024-08-15 08:12:47,1036.0,1.0,179.0,17.0,74.0,30.0,359.0,1544.0,PyTorch Extension Library of Optimized Scatter Operations.,30.0,25,True,2023-10-06 08:49:07.000,2.1.2,32.0,torch-scatter,conda-forge/pytorch_scatter,,['pytorch'],,49650.0,152.0,,https://pypi.org/project/torch-scatter,2023-10-06 08:49:07.000,152.0,40111.0,https://anaconda.org/conda-forge/pytorch_scatter,2024-10-08 05:32:52.462,496053.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+522,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 08:29:47.000,2024-08-03 19:34:12.000000,2024-08-03 19:34:12,297.0,2.0,231.0,46.0,186.0,53.0,121.0,1396.0,Metric learning algorithms in Python.,23.0,25,True,2023-10-09 04:53:59.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,['sklearn'],,5468.0,413.0,406.0,https://pypi.org/project/metric-learn,2023-10-09 04:53:59.000,7.0,5210.0,https://anaconda.org/conda-forge/metric-learn,2023-10-09 05:53:11.819,13199.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+523,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2024-09-21 21:59:47.000000,2024-09-21 13:36:46,1061.0,2.0,119.0,24.0,116.0,36.0,56.0,1377.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",24.0,25,True,2024-07-02 18:00:43.000,1.4.6,49.0,imodels,,,,,39578.0,115.0,106.0,https://pypi.org/project/imodels,2024-07-02 18:00:43.000,9.0,39578.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+524,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,,404.0,90.0,165.0,103.0,224.0,1365.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,61.0,25,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,['tensorflow'],,377.0,46.0,46.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,,377.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+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,,143.0,28.0,63.0,9.0,70.0,1295.0,"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'],,14890.0,1698.0,1682.0,https://pypi.org/project/livelossplot,2022-04-04 16:14:08.000,16.0,14890.0,,,,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,,296.0,55.0,63.0,16.0,111.0,1286.0,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,,,,,8933.0,1116.0,1105.0,https://pypi.org/project/stockstats,2023-07-30 07:07:37.000,11.0,8933.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+527,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,,235.0,34.0,68.0,57.0,206.0,1257.0,A toolbox to iNNvestigate neural networks predictions!.,22.0,25,True,2023-10-12 14:58:48.000,2.1.2,8.0,innvestigate,,,['tensorflow'],152.0,971.0,141.0,139.0,https://pypi.org/project/innvestigate,2023-10-12 14:55:59.000,2.0,966.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+528,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/google-deepmind/rlax,https://github.com/google-deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2024-09-24 21:15:08.000000,2024-05-24 12:07:18,209.0,,85.0,34.0,111.0,8.0,18.0,1245.0,A library of reinforcement learning building blocks in JAX.,21.0,25,True,2023-06-29 15:05:00.621,0.1.6,10.0,rlax,,,['jax'],,22849.0,281.0,270.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,11.0,22849.0,,,,3.0,,,,,,google-deepmind/rlax,,,,,,,,,,,,,,,,,,
+529,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2024-08-02 11:14:24.000000,2024-08-02 11:14:21,90.0,3.0,245.0,20.0,23.0,5.0,88.0,1220.0,Implementation of the node2vec algorithm.,16.0,25,True,2024-08-02 11:13:59.000,0.5.0,19.0,node2vec,conda-forge/node2vec,,,,17120.0,724.0,693.0,https://pypi.org/project/node2vec,2024-08-02 11:12:23.000,31.0,16719.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,30923.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+530,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 18:22:13.000,2024-09-25 05:32:38.000000,2024-09-25 05:32:38,605.0,1.0,207.0,53.0,461.0,145.0,295.0,1204.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,25,True,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,['tensorflow'],,1861.0,77.0,68.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,1861.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+531,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,,119.0,11.0,23.0,28.0,15.0,1130.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,14.0,25,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,523181.0,6664.0,6192.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,472.0,523181.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+532,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2024-10-09 12:09:36.000000,2024-07-24 14:36:04,2074.0,1.0,218.0,42.0,607.0,101.0,445.0,1072.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,41.0,25,False,2024-07-24 14:42:30.000,2.2.0,49.0,smac,conda-forge/smac,,,,23273.0,40.0,,https://pypi.org/project/smac,2024-07-24 14:42:30.000,40.0,22704.0,https://anaconda.org/conda-forge/smac,2024-05-16 20:20:11.437,24490.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+533,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2024-09-11 16:24:06.000000,2024-09-11 10:27:00,921.0,10.0,113.0,43.0,118.0,51.0,48.0,683.0,Bias Auditing & Fair ML Toolkit.,22.0,25,True,2024-01-30 12:03:19.000,1.0.0,18.0,aequitas,,,,,26342.0,179.0,171.0,https://pypi.org/project/aequitas,2024-01-30 12:03:19.000,8.0,26342.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+534,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2024-09-30 08:54:39.000000,2024-09-30 08:54:32,897.0,18.0,86.0,10.0,764.0,98.0,450.0,635.0,Automated modeling and machine learning framework FEDOT.,34.0,25,True,2024-08-28 11:07:57.000,0.7.4,23.0,fedot,,,,,2213.0,58.0,53.0,https://pypi.org/project/fedot,2024-08-28 10:34:09.000,5.0,2213.0,,,,2.0,,,,,,aimclub/FEDOT,,,,,,,,,,,,,,,,,,
+535,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2024-09-18 15:23:28.852000,2024-07-23 14:46:53,413.0,6.0,137.0,21.0,49.0,1.0,87.0,572.0,Medical image processing in Python.,20.0,25,False,2024-07-23 14:23:57.000,0.5.2,11.0,MedPy,conda-forge/medpy,,,,27988.0,2307.0,2254.0,https://pypi.org/project/MedPy,2024-07-23 14:23:57.000,53.0,26490.0,https://anaconda.org/conda-forge/medpy,2024-09-18 15:23:28.852,59936.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+536,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2024-09-11 13:18:14.000000,2024-09-11 13:18:14,3767.0,16.0,69.0,46.0,359.0,21.0,397.0,552.0,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'],15.0,2814.0,48.0,46.0,https://pypi.org/project/skll,2024-03-08 20:01:40.000,2.0,2328.0,https://anaconda.org/conda-forge/skll,2024-03-09 00:32:37.185,17027.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+537,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2024-10-01 13:58:06.000000,2024-10-01 13:25:16,2378.0,91.0,42.0,12.0,16.0,15.0,61.0,509.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,8.0,25,True,2024-08-14 15:06:05.000,4.8.0,80.0,hyperactive,,,,248.0,3998.0,48.0,35.0,https://pypi.org/project/hyperactive,2024-08-15 14:23:15.000,13.0,3995.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+538,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2024-10-08 11:58:21.000000,2024-09-29 01:46:34,567.0,13.0,57.0,41.0,319.0,20.0,63.0,314.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",41.0,25,True,2024-09-19 03:59:24.000,1.6.1,84.0,gokart,,,,,5469.0,89.0,81.0,https://pypi.org/project/gokart,2024-09-19 03:59:24.000,8.0,5469.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+539,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2024-10-08 18:54:04.000000,2024-10-08 18:53:55,3688.0,540.0,60.0,7.0,329.0,48.0,103.0,264.0,Python recommendation toolkit.,14.0,25,False,2024-02-16 21:04:30.000,0.14.4,25.0,lenskit,conda-forge/lenskit,,,,2911.0,122.0,116.0,https://pypi.org/project/lenskit,2024-02-16 21:03:49.000,6.0,2189.0,https://anaconda.org/conda-forge/lenskit,2024-04-18 13:51:51.378,33961.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+540,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2024-07-06 13:17:45.000000,2024-07-02 22:54:35,200.0,,521.0,82.0,39.0,63.0,27.0,11128.0,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",16.0,24,False,2024-07-02 22:56:31.000,1.3.0,13.0,prettymaps,conda-forge/prettymaps,,,,1224.0,58.0,58.0,https://pypi.org/project/prettymaps,2024-07-02 22:56:31.000,,1119.0,https://anaconda.org/conda-forge/prettymaps,2024-07-03 13:55:21.192,3491.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+541,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2024-05-25 03:02:04.000000,2024-05-25 02:46:48,1097.0,,924.0,114.0,676.0,146.0,543.0,5486.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,118.0,24,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,['pytorch'],,1094.0,22.0,21.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,1094.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+542,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2024-07-03 14:09:40.000000,2023-04-28 16:55:30,521.0,,450.0,63.0,94.0,36.0,88.0,5130.0,Finding duplicate images made easy!.,15.0,24,False,2023-04-28 17:29:01.612,0.3.2,12.0,imagededup,,,['tensorflow'],,56012.0,151.0,146.0,https://pypi.org/project/imagededup,2023-04-28 17:29:01.612,5.0,56012.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+543,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,,749.0,136.0,43.0,141.0,98.0,4938.0,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'],960.0,1040.0,1149.0,1133.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,16.0,1028.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+544,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2024-08-21 11:16:16.000000,2024-08-21 11:16:16,206.0,1.0,1032.0,92.0,64.0,271.0,270.0,4735.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,15.0,24,True,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,['tensorflow'],,26648.0,28.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000,28.0,26648.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+545,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,,1385.0,353.0,59.0,51.0,,4412.0,Python Algorithmic Trading Library.,11.0,24,False,,,8.0,pyalgotrade,,,,,998.0,193.0,193.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,,998.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+546,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2024-07-16 03:48:08.000000,2023-05-06 14:09:10,264.0,,441.0,44.0,54.0,88.0,174.0,4326.0,An Open-Source Framework for Prompt-Learning.,22.0,24,False,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,807.0,151.0,148.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,3.0,807.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+547,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,,727.0,62.0,247.0,130.0,824.0,4136.0,"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,,,,,7001.0,21.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:38:10.521,21.0,7001.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+548,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2024-08-13 17:48:41.449000,2019-05-22 18:27:54,1118.0,,811.0,326.0,89.0,91.0,306.0,3872.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,24,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,414.0,272.0,,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,,252.0,https://anaconda.org/anaconda/neon,2024-08-13 17:48:41.449,1737.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+549,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,,324.0,87.0,95.0,51.0,32.0,3526.0,Python library that makes it easy for data scientists to create charts.,25.0,24,True,2023-10-12 09:02:25.000,4.0.5,25.0,chartify,conda-forge/chartify,,,,3948.0,88.0,79.0,https://pypi.org/project/chartify,2023-10-12 09:02:25.000,9.0,3482.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,33133.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+550,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2024-09-11 23:08:58.000000,2024-03-18 19:51:35,2374.0,,712.0,156.0,62.0,6.0,826.0,3188.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,30.0,24,True,2024-03-19 19:20:10.000,1.6.1,21.0,,bioconda/deepvariant,,['tensorflow'],4777.0,916.0,,,,,,,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,69504.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+551,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2024-09-23 16:30:28.000000,2024-09-23 16:30:23,472.0,1.0,323.0,66.0,319.0,50.0,124.0,2875.0,DDSP: Differentiable Digital Signal Processing.,32.0,24,True,2023-05-25 02:30:41.654,3.7.0,55.0,ddsp,conda-forge/ddsp,,['tensorflow'],,4878.0,61.0,60.0,https://pypi.org/project/ddsp,2022-05-25 17:42:19.000,1.0,4527.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,18259.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+552,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2024-06-16 15:59:22.000000,2024-05-06 14:20:38,944.0,,171.0,21.0,79.0,102.0,179.0,2847.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,31.0,24,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,1037.0,55.0,54.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,1.0,1037.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+553,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2024-10-07 17:22:10.000000,2024-08-01 02:26:24,769.0,2.0,361.0,90.0,552.0,143.0,95.0,2749.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,24,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,['tensorflow'],,17214.0,11.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,11.0,17214.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+554,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,,140.0,28.0,200.0,20.0,73.0,2743.0,HiPlot makes understanding high dimensional data easy.,9.0,24,False,2022-05-31 09:00:35.000,0.1.33,113.0,hiplot,conda-forge/hiplot,,,,55540.0,467.0,441.0,https://pypi.org/project/hiplot,2022-07-05 08:51:12.000,26.0,51826.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,207989.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+555,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,,325.0,92.0,2158.0,214.0,982.0,2704.0,"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,,,,,24758.0,2.0,,https://pypi.org/project/pymars,2022-06-12 11:43:21.000,2.0,24758.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+556,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,,345.0,32.0,695.0,43.0,151.0,2661.0,"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,,,,,442.0,115.0,111.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,4.0,442.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+557,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 01:11:33.000,2024-06-18 18:31:40.000000,2023-07-01 21:40:58,1936.0,,368.0,39.0,93.0,41.0,158.0,2636.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,28.0,24,False,2022-09-04 16:37:07.000,0.54.0,46.0,torch-geometric-temporal,,,['pytorch'],,2474.0,7.0,,https://pypi.org/project/torch-geometric-temporal,2022-09-04 16:10:00.738,7.0,2474.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+558,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,,618.0,88.0,29.0,25.0,52.0,2368.0,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,,,,,23586.0,766.0,712.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,54.0,23586.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+559,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,,236.0,62.0,32.0,60.0,96.0,2275.0,Fast and Easy Infinite Neural Networks in Python.,29.0,24,True,2023-12-11 14:10:12.000,0.6.5,31.0,neural-tangents,,,,497.0,3192.0,115.0,114.0,https://pypi.org/project/neural-tangents,2023-12-11 14:00:20.000,1.0,3183.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+560,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,,685.0,84.0,48.0,24.0,64.0,2122.0,Common financial technical indicators implemented in Pandas.,28.0,24,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,10381.0,553.0,541.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,10381.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+561,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 13:50:19.000,2024-07-16 07:33:35.000000,2024-07-15 22:10:03,578.0,3.0,154.0,56.0,466.0,74.0,103.0,2006.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,32.0,24,True,2023-08-31 20:07:52.000,1.1.10,27.0,hivemind,,,,,2288.0,123.0,113.0,https://pypi.org/project/hivemind,2023-08-31 20:07:10.000,10.0,2288.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+562,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,,203.0,29.0,65.0,11.0,83.0,2004.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,24,False,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,['jupyter'],,1596.0,372.0,364.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,8.0,1418.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,8010.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+563,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2024-08-16 19:10:13.000000,2024-08-16 19:10:08,367.0,1.0,272.0,49.0,320.0,262.0,184.0,1829.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,43.0,24,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,['tensorflow'],,439204.0,2.0,,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,2.0,439204.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+564,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,,238.0,50.0,49.0,23.0,91.0,1617.0,Contextually-keyed word vectors.,19.0,24,False,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,67830.0,5059.0,421.0,408.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,13.0,2971.0,https://anaconda.org/conda-forge/sense2vec,2023-09-22 07:25:32.800,47570.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+565,Opik,comet-ml/opik,nlp,,https://github.com/comet-ml/opik,https://github.com/comet-ml/opik,Apache-2.0,2023-05-10 12:57:13.000,2024-10-10 12:18:05.000000,2024-10-10 12:16:15,230.0,230.0,96.0,23.0,345.0,3.0,17.0,1613.0,Open-source end-to-end LLM Development Platform.,23.0,24,True,2024-10-10 12:14:26.000,0.1.22,50.0,opik,,,,,3207.0,,,https://pypi.org/project/opik,2024-10-10 12:14:51.000,,3207.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+566,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,,122.0,28.0,31.0,63.0,50.0,1583.0,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'],,205030.0,539.0,532.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,7.0,205030.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+567,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2024-07-18 17:36:15.000000,2024-07-18 17:32:59,357.0,3.0,270.0,43.0,256.0,77.0,197.0,1526.0,A framework for Privacy Preserving Machine Learning.,38.0,24,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,['pytorch'],,505.0,46.0,45.0,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,1.0,505.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+568,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2024-08-14 21:07:18.000000,2024-08-14 20:38:00,159.0,2.0,163.0,104.0,189.0,40.0,25.0,1508.0,fklearn: Functional Machine Learning.,56.0,24,True,2024-08-14 21:07:18.000,4.0.0,34.0,fklearn,,,,,3026.0,15.0,15.0,https://pypi.org/project/fklearn,2024-08-14 21:07:18.000,,3026.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+569,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 22:21:34.000,2024-06-12 09:16:57.000000,2022-05-22 23:59:48,1219.0,,164.0,32.0,24.0,42.0,34.0,1288.0,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",13.0,24,False,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,['sklearn'],,1971.0,68.0,68.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,,1971.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+570,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,,221.0,70.0,415.0,75.0,147.0,1166.0,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,,,,,761.0,178.0,173.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,5.0,761.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+571,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2024-08-14 00:01:42.000000,2023-11-17 10:59:26,412.0,,184.0,33.0,74.0,3.0,86.0,1043.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,24,True,2022-09-25 14:40:40.377,4.5.1,39.0,keract,,,['tensorflow'],,6718.0,236.0,227.0,https://pypi.org/project/keract,2022-09-25 14:40:40.377,9.0,6718.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+572,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 10:51:56.000,2024-09-09 08:45:12.000000,2024-08-24 15:16:00,781.0,1.0,67.0,15.0,130.0,51.0,117.0,1020.0,Visualize large time series data with plotly.py.,12.0,24,True,2024-03-27 07:58:10.000,0.10.0,62.0,plotly-resampler,conda-forge/plotly-resampler,,,,355645.0,1455.0,1431.0,https://pypi.org/project/plotly-resampler,2024-03-27 07:54:02.000,24.0,353530.0,https://anaconda.org/conda-forge/plotly-resampler,2024-03-29 13:25:52.761,69812.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+573,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,,174.0,49.0,114.0,53.0,170.0,986.0,Python interface to GPU-powered libraries.,44.0,24,True,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,718.0,329.0,306.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,23.0,718.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+574,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 21:48:16.000,2024-06-18 13:19:37.000000,2024-06-18 13:19:34,568.0,,191.0,48.0,61.0,1.0,68.0,982.0,Training neural models with structured signals.,38.0,24,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,['tensorflow'],,7738.0,488.0,485.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,7738.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+575,Runhouse,run-house/runhouse,ml-frameworks,,https://github.com/run-house/runhouse,https://github.com/run-house/runhouse,Apache-2.0,2022-05-10 14:10:51.000,2024-10-10 13:59:36.000000,2024-10-09 21:29:18,1780.0,250.0,35.0,9.0,1266.0,9.0,42.0,965.0,"Dispatch and distribute your ML training to serverless clusters in Python, like PyTorch for ML infra. Iterable,..",15.0,24,True,2024-09-18 03:52:33.000,0.0.35,43.0,runhouse,,,,44.0,20742.0,1.0,,https://pypi.org/project/runhouse,2024-09-18 03:50:09.000,1.0,20740.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+576,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2024-09-28 20:43:04.000000,2024-09-12 10:35:25,429.0,31.0,143.0,20.0,87.0,5.0,71.0,921.0,An intuitive library to extract features from time series.,20.0,24,True,2024-09-12 10:50:23.000,0.1.9,13.0,tsfel,,,,,20991.0,160.0,153.0,https://pypi.org/project/tsfel,2024-09-12 10:43:35.000,7.0,20991.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+577,NeuPy,itdxer/neupy,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000,2023-01-03 21:24:56.000000,2023-01-03 21:24:56,1146.0,,158.0,33.0,25.0,35.0,236.0,741.0,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,,,,,4472.0,182.0,178.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,4.0,4472.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+578,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2024-06-12 05:36:27.000000,2024-06-12 05:36:27,401.0,,155.0,17.0,73.0,35.0,109.0,726.0,Ternary plotting library for python with matplotlib.,28.0,24,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,32.0,24199.0,221.0,189.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,32.0,23320.0,https://anaconda.org/conda-forge/python-ternary,2023-06-16 13:17:10.682,89728.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+579,tinytag,devsnd/tinytag,audio,,https://github.com/tinytag/tinytag,https://github.com/tinytag/tinytag,MIT,2014-01-27 15:27:01.000,2024-08-29 13:38:23.000000,2024-08-29 13:37:57,573.0,8.0,101.0,23.0,102.0,15.0,112.0,692.0,Python library for reading audio file metadata.,27.0,24,True,2023-10-26 19:30:36.000,1.10.1,41.0,tinytag,,,,,27628.0,113.0,,https://pypi.org/project/tinytag,2023-10-26 19:30:36.000,113.0,27628.0,,,,3.0,,,,,,tinytag/tinytag,,,,,,,,,,,,,,,,,,
+580,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,,136.0,132.0,91.0,42.0,67.0,665.0,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'],,19826.0,227.0,215.0,https://pypi.org/project/mapboxgl,2019-06-02 16:02:54.380,12.0,19826.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+581,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2024-09-03 08:52:17.073000,2022-01-15 18:08:37,1718.0,,69.0,15.0,13.0,35.0,7.0,571.0,Pure-Python full-text search library.,42.0,24,False,2016-04-04 01:19:40.000,2.7.4,141.0,whoosh,conda-forge/whoosh,,,,403890.0,232.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,232.0,395898.0,https://anaconda.org/conda-forge/whoosh,2024-09-03 08:52:17.073,327676.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+582,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,,72.0,8.0,17.0,11.0,12.0,510.0,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'],,2467903.0,4914.0,4811.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,103.0,2458659.0,https://anaconda.org/conda-forge/findspark,2023-06-16 13:16:45.065,924439.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+583,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2024-09-04 00:22:36.000000,2024-05-15 12:32:23,5658.0,,93.0,19.0,764.0,16.0,446.0,442.0,Lightwood is Legos for Machine Learning.,46.0,24,False,2024-05-15 13:29:47.000,24.5.2.0,204.0,lightwood,,,['pytorch'],,12527.0,73.0,71.0,https://pypi.org/project/lightwood,2024-05-15 13:37:20.000,2.0,12527.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+584,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2024-10-01 02:29:20.000000,2024-10-01 02:29:19,677.0,15.0,65.0,29.0,486.0,16.0,91.0,372.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,24,True,2024-09-25 14:29:32.000,4.1.0,41.0,vega,conda-forge/vega,,['jupyter'],,25874.0,21.0,4.0,https://pypi.org/project/vega,2024-09-25 14:29:32.000,17.0,13594.0,https://anaconda.org/conda-forge/vega,2024-09-25 20:44:27.334,650847.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+585,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2024-09-29 23:44:29.000000,2024-09-29 23:43:33,584.0,453.0,43.0,13.0,64.0,3.0,57.0,330.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,24,True,2024-06-13 05:28:35.000,2.0.11,36.0,ivis,,,['tensorflow'],,1859.0,38.0,36.0,https://pypi.org/project/ivis,2024-06-13 05:28:35.000,2.0,1859.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+586,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2024-08-08 12:54:44.000000,2020-04-18 19:15:25,24.0,,1454.0,149.0,50.0,46.0,12.0,10166.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,23,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,['pytorch'],,1348.0,68.0,65.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,3.0,1348.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+587,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2024-06-12 19:34:23.000000,2023-03-04 05:19:44,2327.0,,609.0,145.0,1362.0,129.0,987.0,8018.0,Production infrastructure for machine learning at scale.,25.0,23,False,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,1188.0,2.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,2.0,1188.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+588,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,,1434.0,262.0,69.0,132.0,136.0,6416.0,Audio fingerprinting and recognition in Python.,23.0,23,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,371.0,21.0,21.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,,371.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+589,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 03:11:32.000,2024-08-06 12:05:27.000000,2023-01-15 11:37:16,279.0,,1049.0,120.0,108.0,172.0,356.0,5414.0,Backtest trading strategies in Python.,19.0,23,False,2021-12-13 01:36:44.000,0.3.3,21.0,backtesting,,,,,17144.0,6.0,,https://pypi.org/project/backtesting,2021-12-13 01:36:44.000,6.0,17144.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+590,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-10-01 23:10:08.000000,2024-09-10 16:49:55,1635.0,24.0,830.0,146.0,1563.0,371.0,403.0,5058.0,Simple and Distributed Machine Learning.,120.0,23,True,2024-08-30 02:16:51.000,1.0.5,51.0,mmlspark,,,['spark'],,,,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+591,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,,321.0,75.0,37.0,95.0,75.0,4371.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,23,False,2022-03-13 19:09:50.000,0.11.1,67.0,deep-daze,,,,,3553.0,54.0,54.0,https://pypi.org/project/deep-daze,2022-03-13 19:09:50.000,,3553.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+592,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,,447.0,89.0,78.0,67.0,137.0,3368.0,Generate embeddings from large-scale graph-structured data.,32.0,23,True,2019-10-14 16:45:11.000,1.0.0,4.0,torchbiggraph,,,['pytorch'],207.0,426757.0,2.0,,https://pypi.org/project/torchbiggraph,2019-10-14 16:44:41.000,2.0,426754.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+593,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,,328.0,54.0,414.0,82.0,106.0,3253.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",38.0,23,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,['pytorch'],,199.0,54.0,53.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,199.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+594,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,,232.0,53.0,36.0,75.0,125.0,3184.0,A GUI for Pandas DataFrames.,14.0,23,False,2023-02-11 20:04:00.783,0.2.14,44.0,pandasgui,conda-forge/pandasgui,,['pandas'],,5125.0,440.0,426.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000,14.0,4515.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,27472.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+595,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 03:41:26.000,2024-09-20 01:28:48.000000,2024-09-20 01:28:13,3461.0,4.0,727.0,7.0,33.0,406.0,855.0,2606.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",109.0,23,True,2024-03-05 10:02:36.000,0.1.0,418.0,analytics-zoo,,,['spark'],,3982.0,1.0,,https://pypi.org/project/analytics-zoo,2022-08-22 20:19:01.213,1.0,3982.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+596,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,,413.0,130.0,136.0,60.0,128.0,2405.0,Deep Learning toolkit for Computer Vision.,15.0,23,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,['tensorflow'],12875.0,1818.0,68.0,66.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,1665.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+597,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,,381.0,78.0,144.0,36.0,126.0,2388.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,23,False,2019-11-19 04:11:18.000,0.2.4,6.0,texar,,,['tensorflow'],,186.0,31.0,29.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000,2.0,186.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+598,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2024-10-07 11:45:57.000000,2024-10-07 11:45:57,547.0,1.0,223.0,41.0,134.0,63.0,127.0,2301.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,30.0,23,True,2023-12-27 00:46:01.000,2023.12.27,773.0,kubric-nightly,,,,,38761.0,7.0,7.0,https://pypi.org/project/kubric-nightly,2023-12-27 00:46:01.000,,38761.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+599,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2024-07-17 19:00:35.000000,2024-07-17 19:00:21,2319.0,5.0,244.0,38.0,39.0,7.0,114.0,2148.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,20.0,23,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,7877.0,279.0,266.0,https://pypi.org/project/karateclub,2022-10-22 13:31:38.000,13.0,7353.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,26769.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+600,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,,299.0,64.0,78.0,65.0,68.0,2105.0,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'],,1930.0,35.0,32.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,1930.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+601,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,,247.0,44.0,33.0,51.0,90.0,1973.0,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'],,5904.0,180.0,180.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,5904.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+602,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2024-09-28 12:41:59.000000,2024-09-28 12:41:59,1288.0,28.0,143.0,33.0,179.0,71.0,149.0,1971.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",28.0,23,True,2024-01-20 15:39:17.000,0.9.0,14.0,kp,,,,581.0,654.0,,,https://pypi.org/project/kp,2024-01-20 15:33:09.000,,643.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+603,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,,228.0,42.0,36.0,45.0,24.0,1886.0,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'],,3022.0,492.0,470.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,1802.0,https://anaconda.org/conda-forge/multicore-tsne,2023-10-11 19:12:48.654,51257.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+604,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-07-10 23:00:12.000000,2024-07-10 23:00:11,927.0,,135.0,35.0,446.0,50.0,354.0,1863.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,23,True,2024-04-01 00:44:51.000,1.1.4.9,36.0,orbit-ml,,,,,14037.0,64.0,63.0,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,14037.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+605,uber/orbit,uber/orbit,time-series-data,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-07-10 23:00:12.000000,2024-07-10 23:00:11,927.0,,135.0,35.0,446.0,50.0,354.0,1863.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,23,True,2024-04-01 00:44:51.000,1.1.4.9,36.0,orbit-ml,conda-forge/orbit-ml,,,,14480.0,64.0,63.0,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,14037.0,https://anaconda.org/conda-forge/orbit-ml,2024-04-01 02:54:47.033,14624.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+606,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,,311.0,97.0,45.0,187.0,217.0,1642.0,[UNMAINTAINED] Automated machine learning for analytics & production.,14.0,23,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,67.0,6578.0,9.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,9.0,6578.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+607,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,,295.0,44.0,801.0,72.0,485.0,1639.0,jiant is an nlp toolkit.,60.0,23,False,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,361.0,6.0,6.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000,,361.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+608,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2024-07-16 05:54:41.000000,2024-07-16 05:54:41,602.0,1.0,302.0,56.0,117.0,54.0,31.0,1618.0,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,,,,,1418.0,103.0,102.0,https://pypi.org/project/aix360,2023-07-31 18:54:38.000,1.0,1418.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+609,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,,254.0,51.0,312.0,98.0,18.0,1584.0,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'],,64260.0,3.0,,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,3.0,64260.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+610,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,,190.0,32.0,86.0,16.0,33.0,1411.0,"A program for financial portfolio management, analysis and optimisation.",11.0,23,False,2023-09-04 06:57:56.000,0.7.0,15.0,FinQuant,,,,,1367.0,96.0,95.0,https://pypi.org/project/FinQuant,2023-09-04 06:57:56.000,1.0,1367.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+611,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,,88.0,39.0,15.0,11.0,27.0,1361.0,A Graph Neural Network Library in Jax.,17.0,23,False,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,['jax'],,67627.0,242.0,220.0,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,22.0,67452.0,https://anaconda.org/conda-forge/jraph,2023-06-16 19:27:46.249,6333.0,2.0,,,,,,google-deepmind/jraph,,,,,,,,,,,,,,,,,,
+612,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2024-10-08 01:44:06.000000,2024-09-17 07:49:48,563.0,13.0,134.0,21.0,306.0,21.0,140.0,1348.0,A standard framework for modelling Deep Learning Models for tabular data.,23.0,23,True,2024-01-15 12:17:19.000,1.1.0,12.0,pytorch_tabular,,,['pytorch'],43.0,3927.0,3.0,,https://pypi.org/project/pytorch_tabular,2024-01-15 02:46:25.000,3.0,3926.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,
+613,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,,192.0,27.0,57.0,22.0,36.0,1294.0,A Toolbox for Adversarial Robustness Research.,21.0,23,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,['pytorch'],,1594.0,180.0,175.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,1594.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+614,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,GPL-3.0,2018-03-20 15:22:29.000,2024-10-01 23:42:11.000000,2024-10-01 23:38:02,473.0,27.0,209.0,53.0,94.0,66.0,219.0,1040.0,Line based ATR Engine based on OCRopy.,21.0,23,False,2024-10-01 23:41:06.000,2.3.0.post1,44.0,calamari_ocr,,,,,6505.0,8.0,,https://pypi.org/project/calamari_ocr,2024-10-01 23:42:11.000,8.0,6505.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+615,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2024-10-08 21:24:59.446000,2024-08-15 16:03:59,733.0,1.0,147.0,15.0,107.0,30.0,249.0,998.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,45.0,23,True,2023-10-06 08:51:55.000,0.6.18,31.0,torch-sparse,conda-forge/pytorch_sparse,,['pytorch'],,36800.0,122.0,,https://pypi.org/project/torch-sparse,2023-10-06 08:51:55.000,122.0,27830.0,https://anaconda.org/conda-forge/pytorch_sparse,2024-10-08 21:24:59.446,466471.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+616,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,,87.0,26.0,55.0,36.0,28.0,954.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,23,False,2020-02-13 09:57:47.000,1.0.6,14.0,youtokentome,conda-forge/youtokentome,,,,80713.0,769.0,746.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,23.0,78917.0,https://anaconda.org/conda-forge/youtokentome,2023-09-27 19:23:04.851,66479.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+617,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,,190.0,24.0,58.0,12.0,27.0,951.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",18.0,23,True,2024-03-20 19:51:28.000,0.2.1,12.0,saliency,,,['tensorflow'],,89480.0,114.0,106.0,https://pypi.org/project/saliency,2024-03-20 19:51:28.000,8.0,89480.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+618,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 20:26:10.000,2024-09-11 20:07:00.000000,2024-02-01 21:38:56,330.0,,169.0,29.0,113.0,88.0,56.0,909.0,Source code/webpage/demos for the What-If Tool.,20.0,23,True,2021-10-12 17:42:50.869,1.8.1,40.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,53331.0,11.0,2.0,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000,6.0,8751.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,2288218.0,3.0,,,,,,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,3.0,576.0,,,,,,,,,,,
+619,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,,111.0,26.0,36.0,34.0,69.0,879.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,23,False,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,['pandas'],,21824.0,673.0,661.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,12.0,21824.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+620,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,,85.0,14.0,77.0,221.0,218.0,868.0,"Experiment tracking, ML developer tools.",29.0,23,False,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,25.0,7139.0,100.0,100.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,7139.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+621,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2024-09-30 13:31:28.000000,2024-09-30 12:29:20,1251.0,46.0,126.0,30.0,1058.0,37.0,54.0,766.0,Machine learning framework for both deep learning and traditional algorithms.,40.0,23,True,2023-12-26 02:42:15.000,2.0.210,15.0,neoml,,,,,2291.0,2.0,2.0,https://pypi.org/project/neoml,2023-12-26 02:42:15.000,,2291.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+622,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2024-08-02 05:29:18.056000,2024-08-01 17:33:11,360.0,2.0,119.0,17.0,84.0,21.0,38.0,709.0,Working with molecular structures in pandas DataFrames.,18.0,23,True,2024-08-01 17:35:04.000,0.5.1,21.0,biopandas,conda-forge/biopandas,,['pandas'],,15586.0,327.0,289.0,https://pypi.org/project/biopandas,2024-08-01 17:35:04.000,38.0,12317.0,https://anaconda.org/conda-forge/biopandas,2024-08-02 05:29:18.056,163474.0,3.0,,,,,,BioPandas/biopandas,,,,,,,,,,,,,,,,,,
+623,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2024-10-09 16:45:39.000000,2024-07-23 12:43:38,1508.0,3.0,80.0,34.0,680.0,22.0,118.0,700.0,Scikit-learn style model finetuning for NLP.,23.0,23,True,2023-09-29 10:19:51.000,0.10.0,39.0,finetune,,,"['tensorflow', 'sklearn']",,1558.0,15.0,13.0,https://pypi.org/project/finetune,2023-09-29 10:19:51.000,2.0,1558.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+624,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2024-08-14 09:00:03.000000,2019-10-30 09:27:48,189.0,,81.0,21.0,12.0,,39.0,685.0,Python package for stacking (machine learning technique).,1.0,23,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,12320.0,519.0,514.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,5.0,12265.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,2268.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+625,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2024-10-08 15:38:12.000000,2024-09-27 03:56:46,987.0,6.0,193.0,23.0,858.0,129.0,397.0,597.0,MONAI Label is an intelligent open source image labeling and learning tool.,61.0,23,True,2024-07-23 17:48:05.000,0.8.3,114.0,monailabel-weekly,,,,95440.0,4877.0,,,https://pypi.org/project/monailabel-weekly,2023-10-01 02:24:07.000,,2430.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+626,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 08:06:41.000,2024-10-05 19:02:22.000000,2024-08-18 15:52:42,512.0,12.0,60.0,25.0,10.0,13.0,44.0,551.0,Active Learning for Text Classification in Python.,7.0,23,True,2024-08-18 16:02:51.000,1.4.1,22.0,small-text,conda-forge/small-text,,"['sklearn', 'pytorch']",,1959.0,32.0,32.0,https://pypi.org/project/small-text,2024-08-18 16:00:34.000,,1607.0,https://anaconda.org/conda-forge/small-text,2024-08-18 16:37:29.577,9505.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+627,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2024-08-01 23:26:59.000000,2024-03-19 15:52:03,1216.0,,66.0,7.0,211.0,20.0,109.0,515.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,23,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,['huggingface'],,2932.0,292.0,287.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,2932.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+628,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,,87.0,13.0,31.0,9.0,49.0,390.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,18.0,23,True,2024-02-11 00:59:05.000,3.1.0,58.0,pymap3d,conda-forge/pymap3d,,,,225437.0,488.0,444.0,https://pypi.org/project/pymap3d,2024-02-11 00:59:05.000,44.0,223755.0,https://anaconda.org/conda-forge/pymap3d,2024-02-11 07:50:28.337,82466.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+629,pandas-ai,gventuri/pandas-ai,others,,https://github.com/Sinaptik-AI/pandas-ai,https://github.com/Sinaptik-AI/pandas-ai,,2023-04-22 12:58:01.000,2024-09-25 16:48:16.000000,2024-09-25 16:46:45,1055.0,30.0,1224.0,108.0,513.0,91.0,617.0,12837.0,"Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational..",88.0,22,False,2024-09-25 16:48:16.000,2.2.15,100.0,pandas-ai,,,,,,,,https://pypi.org/project/pandas-ai,,,,,,,3.0,,,,,,Sinaptik-AI/pandas-ai,,,,,,,,,,,,,,,,,,
+630,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/optimate,https://github.com/nebuly-ai/optimate,Apache-2.0,2022-02-12 17:17:14.000,2024-07-22 02:07:03.000000,2024-07-22 02:07:02,771.0,8.0,639.0,92.0,152.0,99.0,102.0,8378.0,A collection of libraries to optimise AI model performances.,40.0,22,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,1396.0,2.0,,https://pypi.org/project/nebullvm,2023-06-18 11:03:00.511,2.0,1396.0,,,,3.0,,,,,,nebuly-ai/optimate,,,,,,,,,,,,,,,,,,
+631,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,,783.0,223.0,25.0,8.0,122.0,5352.0,Build Graph Nets in Tensorflow.,11.0,22,False,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,['tensorflow'],,1924.0,22.0,20.0,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,2.0,1924.0,,,,3.0,,,,,,google-deepmind/graph_nets,,,,,,,,,,,,,,,,,,
+632,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2024-07-07 15:33:11.000000,2022-08-09 13:26:32,565.0,,1253.0,305.0,210.0,66.0,220.0,4871.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,22,False,,,,,,,,,1689.0,,,,,,,,,,3.0,shadowreaver/crypto-signal,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,143621.0,,,,,,,,,,,,,,,,,,,
+633,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,,475.0,85.0,180.0,108.0,161.0,3620.0,A high performance and generic framework for distributed DNN training.,21.0,22,False,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,,,,277.0,3.0,3.0,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,256.0,,,,3.0,bytepsimage/tensorflow,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1349.0,,,,,,,,,,,,,,,,,,,
+634,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2024-08-12 15:50:03.000000,2024-08-12 15:45:58,1602.0,3.0,514.0,148.0,610.0,86.0,75.0,3562.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",167.0,22,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,['pytorch'],,77.0,,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,77.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+635,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2024-05-19 22:21:30.000000,2024-05-19 22:15:20,687.0,,489.0,215.0,16.0,24.0,4.0,3430.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,22,True,2024-05-19 22:21:30.000,0.11.14,15.0,finmarketpy,,,,56.0,933.0,15.0,15.0,https://pypi.org/project/finmarketpy,2024-05-19 22:21:30.000,,933.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+636,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,,677.0,74.0,53.0,179.0,101.0,3399.0,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'],622.0,2018.0,8.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,8.0,2009.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+637,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,,386.0,205.0,9.0,4.0,16.0,3135.0,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,['tensorflow'],,2004.0,161.0,159.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,2.0,2004.0,,,,3.0,,,,,,google-deepmind/trfl,,,,,,,,,,,,,,,,,,
+638,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2024-09-30 02:41:02.000000,2021-05-06 12:10:38,127.0,,155.0,48.0,70.0,2.0,30.0,3067.0,"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,,,,697.0,54.0,54.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,643.0,https://anaconda.org/conda-forge/opyrator,2023-06-18 08:40:31.958,1790.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+639,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,,454.0,164.0,120.0,22.0,112.0,2936.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,40.0,22,False,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,607.0,11.0,11.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000,,607.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+640,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,,238.0,42.0,110.0,80.0,64.0,2882.0,"Text preprocessing, representation and visualization from zero to hero.",21.0,22,False,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,152.0,4078.0,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,4076.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+641,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2024-08-15 19:08:06.000000,2024-08-15 19:08:06,312.0,1.0,162.0,24.0,34.0,33.0,31.0,1975.0,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",12.0,22,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,['pytorch'],115.0,1228.0,32.0,31.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,1066.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,5469.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+642,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2024-08-19 09:45:05.000000,2024-08-19 09:41:36,346.0,1.0,341.0,42.0,68.0,163.0,95.0,1855.0,Super easy library for BERT based NLP models.,37.0,22,True,2024-08-19 09:45:05.000,2.0.26,72.0,fast-bert,,,,,3963.0,,,https://pypi.org/project/fast-bert,2024-08-19 09:45:05.000,,3963.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+643,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,,255.0,44.0,14.0,57.0,35.0,1791.0,"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']",,2239.0,318.0,307.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,2239.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+644,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,,213.0,38.0,111.0,56.0,42.0,1724.0,"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'],676.0,6209.0,169.0,163.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,6.0,3826.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,234385.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+645,graph4nlp,graph4ai/graph4nlp,graph,,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000,2024-06-24 03:38:13.000000,2022-11-13 04:54:45,1941.0,,197.0,30.0,424.0,11.0,163.0,1669.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,29.0,22,False,2022-01-20 18:07:32.000,0.5.5,12.0,graph4nlp,,,['pytorch'],,455.0,,,https://pypi.org/project/graph4nlp,2022-01-20 15:18:44.000,,455.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+646,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2024-06-27 16:05:09.000000,2023-03-23 14:35:34,422.0,,278.0,70.0,730.0,51.0,64.0,1591.0,An end-to-end PyTorch framework for image and video classification.,77.0,22,False,2023-03-21 05:24:19.000,0.7.0,18.0,classy_vision,conda-forge/classy_vision,,['pytorch'],,1941.0,4.0,,https://pypi.org/project/classy_vision,2023-03-21 05:15:00.935,4.0,1501.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,25118.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+647,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,,211.0,57.0,52.0,80.0,149.0,1564.0,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,,,,2867.0,1102.0,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000,,1072.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+648,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2024-10-01 11:46:17.000000,2024-10-01 11:50:32,1211.0,8.0,118.0,27.0,69.0,4.0,29.0,1514.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,22,True,2023-08-19 14:26:10.000,0.7.0,29.0,pytorch_toolbelt,,,['pytorch'],44.0,7807.0,7.0,,https://pypi.org/project/pytorch_toolbelt,2022-06-27 19:59:57.000,7.0,7807.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+649,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2024-09-18 00:15:10.000000,2024-09-18 00:14:54,196.0,5.0,113.0,39.0,30.0,19.0,119.0,1244.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,15.0,22,True,2024-07-26 00:44:37.000,2.2.4,84.0,ngt,,,,,4372.0,8.0,,https://pypi.org/project/ngt,2023-12-06 05:33:15.000,8.0,4372.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+650,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2024-06-07 14:38:03.000000,2024-06-07 14:37:59,835.0,,324.0,51.0,796.0,11.0,300.0,1210.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,60.0,22,True,2023-03-03 07:51:00.411,3.1.34,85.0,sockeye,,,['mxnet'],21.0,3692.0,,,https://pypi.org/project/sockeye,2023-03-03 07:51:00.411,,3692.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+651,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2024-08-04 22:39:35.000000,2024-08-04 17:00:39,437.0,1.0,152.0,91.0,122.0,33.0,46.0,1186.0,PFRL: a PyTorch-based deep reinforcement learning library.,20.0,22,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,968.0,116.0,115.0,https://pypi.org/project/pfrl,2023-07-16 15:34:00.704,1.0,968.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+652,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,,205.0,27.0,61.0,52.0,61.0,1075.0,fastFM: A Library for Factorization Machines.,20.0,22,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,764.0,1153.0,127.0,124.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,3.0,1147.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+653,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,,251.0,48.0,46.0,26.0,127.0,1071.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,28.0,22,True,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,['tensorflow'],,1468.0,30.0,30.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,1468.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+654,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2024-05-25 09:25:40.000000,2024-01-04 20:41:21,582.0,,294.0,96.0,123.0,62.0,97.0,1052.0,"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'],,2849.0,16.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,16.0,2295.0,https://anaconda.org/conda-forge/astroml,2023-06-16 13:21:24.079,47709.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+655,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2024-06-03 10:38:45.000000,2022-06-30 08:14:18,208.0,,112.0,51.0,99.0,44.0,51.0,1016.0,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'],,2771.0,259.0,248.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,11.0,2771.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+656,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,,89.0,18.0,73.0,18.0,45.0,1015.0,Audio processing by using pytorch 1D convolution network.,15.0,22,True,2024-02-13 05:58:29.000,0.3.3,40.0,nnAudio,,,,,16476.0,223.0,219.0,https://pypi.org/project/nnAudio,2024-02-13 05:58:29.000,4.0,16476.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+657,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2024-09-19 13:26:10.000000,2024-09-19 13:26:10,252.0,2.0,115.0,15.0,48.0,38.0,29.0,938.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,12.0,22,True,2024-02-01 14:51:21.000,0.5.2,13.0,detoxify,,,,689524.0,53604.0,727.0,697.0,https://pypi.org/project/detoxify,2024-02-01 14:51:21.000,30.0,38934.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+658,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2023-10-23 02:52:41.000000,2022-07-04 00:10:02,195.0,,146.0,23.0,46.0,16.0,82.0,920.0,kapre: Keras Audio Preprocessors.,13.0,22,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,['tensorflow'],29.0,1717.0,2446.0,2437.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,9.0,1717.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+659,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2024-06-27 20:02:41.000000,2024-06-27 20:02:41,240.0,,86.0,18.0,160.0,20.0,94.0,862.0,Bayesian active learning library for research and industrial usecases.,23.0,22,True,2024-06-11 15:50:56.000,2.0.0,21.0,baal,conda-forge/baal,,,,2924.0,63.0,61.0,https://pypi.org/project/baal,2024-06-11 15:50:56.000,2.0,2700.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,10085.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+660,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2024-10-10 11:23:15.000000,2024-10-10 11:22:10,296.0,3.0,248.0,46.0,18.0,11.0,91.0,855.0,Data compression in TensorFlow.,21.0,22,True,2024-08-07 20:25:13.000,2.17.0,26.0,tensorflow-compression,,,['tensorflow'],,3617.0,2.0,,https://pypi.org/project/tensorflow-compression,2024-02-02 01:38:32.000,2.0,3617.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+661,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 00:32:10.000,2024-10-05 19:58:50.000000,2024-10-05 17:28:06,58.0,1.0,75.0,6.0,5.0,3.0,24.0,848.0,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,22,True,2024-10-05 19:58:50.000,0.1.8,7.0,iterative-stratification,,,['sklearn'],,33823.0,496.0,481.0,https://pypi.org/project/iterative-stratification,2024-10-05 19:58:50.000,15.0,33823.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+662,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,,134.0,24.0,594.0,63.0,511.0,847.0,"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,,,,,4339.0,6.0,,https://pypi.org/project/icevision,2022-02-10 15:55:46.374,6.0,4339.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+663,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,,107.0,28.0,60.0,27.0,74.0,846.0,ML-Ensemble high performance ensemble learning.,7.0,22,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,2661.0,493.0,492.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,1.0,2661.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+664,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2024-09-10 02:55:22.000000,2024-09-10 02:55:22,602.0,2.0,142.0,15.0,63.0,37.0,137.0,816.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,35.0,22,True,2023-10-12 06:54:28.000,1.6.3,43.0,torch-cluster,conda-forge/pytorch_cluster,,['pytorch'],,20010.0,62.0,,https://pypi.org/project/torch-cluster,2023-10-12 06:52:43.000,62.0,16161.0,https://anaconda.org/conda-forge/pytorch_cluster,2024-08-28 13:26:28.147,204017.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+665,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,,78.0,25.0,162.0,51.0,62.0,768.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,26.0,22,True,2023-11-06 22:17:30.000,1.8.0,11.0,objax,,,['jax'],,1108.0,61.0,57.0,https://pypi.org/project/objax,2023-11-06 22:03:10.000,4.0,1108.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+666,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,,147.0,25.0,154.0,79.0,137.0,760.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715,0.9.0,96.0,gmaps,conda-forge/gmaps,,['jupyter'],,11223.0,18.0,,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506,13.0,6860.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,339844.0,3.0,,,,,,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,5.0,545.0,,,,,,,,,,,
+667,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,,88.0,21.0,9.0,25.0,41.0,687.0,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,22,False,2018-01-15 18:14:37.000,0.9.0,10.0,pivottablejs,anaconda/pivottablejs,,['jupyter'],,32119.0,479.0,469.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,10.0,32091.0,https://anaconda.org/anaconda/pivottablejs,2023-12-06 04:45:55.894,2991.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+668,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,,68.0,25.0,433.0,10.0,237.0,635.0,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'],,1536.0,95.0,91.0,https://pypi.org/project/torchbearer,2023-12-01 18:48:07.000,4.0,1536.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+669,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 19:20:13.000,2024-09-29 18:55:40.000000,2024-09-29 18:55:40,251.0,2.0,130.0,22.0,20.0,8.0,31.0,598.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,15.0,22,True,2021-01-28 23:23:17.000,1.3.7,22.0,rfpimp,,,['sklearn'],,12207.0,173.0,168.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,12207.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+670,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2024-07-09 19:44:12.000000,2024-05-11 10:43:02,331.0,,101.0,26.0,8.0,1.0,33.0,521.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,9.0,22,True,2024-05-11 10:46:51.000,0.1.800,146.0,autoviml,,,,,11714.0,30.0,27.0,https://pypi.org/project/autoviml,2024-05-11 10:46:51.000,3.0,11714.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+671,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 10:59:08.000,2024-08-18 17:30:50.000000,2023-03-05 00:16:57,419.0,,102.0,36.0,276.0,75.0,174.0,486.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",20.0,22,False,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,381.0,2158.0,84.0,82.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,2.0,2154.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+672,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2024-09-07 07:05:09.000000,2024-09-07 07:05:06,387.0,15.0,98.0,28.0,34.0,41.0,15.0,475.0,A python library for Bayesian time series modeling.,7.0,22,True,2024-08-13 04:20:08.000,0.1.1.13,15.0,pydlm,,,,,26608.0,39.0,37.0,https://pypi.org/project/pydlm,2024-08-13 04:20:45.000,2.0,26608.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+673,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2024-08-12 09:24:26.000000,2024-08-12 09:24:26,399.0,4.0,102.0,18.0,9.0,7.0,49.0,454.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some..",7.0,22,True,2024-06-08 21:33:50.000,0.0.18,18.0,chefboost,,,,,4546.0,60.0,60.0,https://pypi.org/project/chefboost,2024-06-08 21:33:50.000,,4546.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+674,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2024-07-06 00:47:45.000000,2023-09-06 17:29:29,2412.0,,52.0,23.0,232.0,57.0,195.0,379.0,Studio: Simplify and expedite model building process.,24.0,22,False,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,5801.0,7.0,7.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,5801.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+675,TimeSide,Parisson/TimeSide,audio,,https://github.com/Parisson/TimeSide,https://github.com/Parisson/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2024-08-19 11:40:22.000000,2023-02-01 10:38:52,3728.0,,60.0,28.0,110.0,33.0,184.0,369.0,scalable audio processing framework and server written in Python.,22.0,22,False,2023-01-03 17:34:09.000,1.1.3,28.0,TimeSide,,,,,564.0,19.0,19.0,https://pypi.org/project/TimeSide,2020-11-27 09:33:19.000,,564.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+676,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2024-10-10 08:57:34.000000,2024-10-10 08:57:19,793.0,46.0,25.0,5.0,297.0,5.0,,314.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML & AI pipeline..,13.0,22,True,2024-10-10 08:57:34.000,1.2.12,822.0,upgini,,,,,24713.0,9.0,9.0,https://pypi.org/project/upgini,2024-10-10 08:57:34.000,,24713.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+677,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,,49.0,14.0,712.0,217.0,204.0,283.0,Asynchronous Distributed Hyperparameter Optimization.,32.0,22,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,940.0,118.0,110.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,940.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+678,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,,33.0,12.0,9.0,4.0,12.0,238.0,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,,,,86062.0,1268.0,1211.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,57.0,84377.0,https://anaconda.org/conda-forge/py3nvml,2023-09-25 06:14:21.168,80901.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+679,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,,29.0,7.0,20.0,5.0,9.0,155.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,103341.0,2410.0,2366.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,44.0,103341.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+680,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,,2392.0,149.0,89.0,255.0,286.0,13443.0,End-to-End Object Detection with Transformers.,27.0,21,True,2020-06-29 16:41:01.000,0.2,1.0,,,,['pytorch'],,,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+681,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2024-08-13 19:13:05.000000,2024-08-13 19:09:33,193.0,2.0,1190.0,95.0,50.0,395.0,287.0,6555.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,33.0,21,True,,,1.0,pyslowfast,,,['pytorch'],,60.0,20.0,20.0,https://pypi.org/project/pyslowfast,2020-01-15 23:51:07.000,,60.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+682,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2024-06-17 09:17:33.000000,2024-03-11 13:23:01,3347.0,,820.0,229.0,111.0,57.0,622.0,4928.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,21,True,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,1532.0,20.0,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+683,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,,742.0,102.0,35.0,107.0,113.0,4626.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,21,False,2020-01-08 15:37:35.000,2.2.0,11.0,ISR,,,['tensorflow'],,5174.0,5.0,,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,5171.0,,,,3.0,idealo/image-super-resolution-gpu,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,240.0,,,,,,,,,,,,,,,,,,,
+684,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 16:09:50.000,2024-05-20 22:36:46.000000,2023-08-15 07:38:22,956.0,,567.0,169.0,47.0,35.0,28.0,4503.0,High-performance TensorFlow library for quantitative finance.,47.0,21,False,,,30.0,tf-quant-finance,,,['tensorflow'],,978.0,3.0,,https://pypi.org/project/tf-quant-finance,2022-08-19 12:40:54.257,3.0,978.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+685,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,,172.0,66.0,54.0,6.0,44.0,3085.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",20.0,21,False,2021-11-19 16:51:47.000,1.0.0,34.0,igel,,,,49.0,1113.0,6.0,6.0,https://pypi.org/project/igel,2021-11-19 16:45:29.543,,1113.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+686,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,,330.0,72.0,2.0,20.0,7.0,2904.0,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'],,3833.0,212.0,209.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,3.0,3833.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+687,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,,462.0,126.0,225.0,90.0,183.0,2325.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,38.0,21,False,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,204.0,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,204.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+688,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,,370.0,84.0,4.0,5.0,18.0,2211.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,21,False,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,398.0,51.0,51.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000,,398.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+689,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,,250.0,54.0,35.0,16.0,105.0,2105.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,21,False,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,['pytorch'],,11208.0,,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000,,11208.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+690,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,,200.0,38.0,7.0,15.0,33.0,1655.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,21,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,['pytorch'],,7597.0,69.0,63.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,7597.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+691,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,,135.0,101.0,150.0,21.0,20.0,1550.0,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,,,,,7742.0,24.0,24.0,https://pypi.org/project/lore,2022-02-18 18:01:38.000,,7742.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+692,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2023-08-06 18:20:04.000000,2020-08-25 09:26:27,1121.0,,271.0,65.0,51.0,23.0,75.0,1494.0,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,,,,,1032.0,37.0,37.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,1032.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+693,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,,352.0,61.0,47.0,37.0,71.0,1481.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,21,False,2018-07-17 01:59:21.000,1.0.8,14.0,anago,,,['tensorflow'],,1086.0,40.0,34.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000,6.0,1086.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+694,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,,405.0,101.0,36.0,13.0,24.0,1427.0,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'],,242.0,33.0,33.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,242.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+695,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,,222.0,64.0,48.0,40.0,90.0,1275.0,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'],,615.0,37.0,37.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,,615.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+696,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,,213.0,65.0,29.0,31.0,12.0,1184.0,Anomaly Detection and Correlation library.,9.0,21,False,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,7931.0,82.0,80.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,2.0,7931.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+697,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,,202.0,62.0,7.0,13.0,29.0,1142.0,Python AutoML for Trading Systems and Sports Betting.,5.0,21,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,2359.0,6.0,6.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,2359.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+698,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2024-08-01 11:53:43.000000,2020-04-17 02:27:44,79.0,,144.0,25.0,77.0,51.0,37.0,1085.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,21,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,254943.0,5.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,5.0,254782.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,8880.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+699,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,,184.0,52.0,12.0,16.0,42.0,1003.0,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'],,408.0,88.0,84.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,408.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+700,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2024-09-03 22:24:30.000000,2023-06-05 01:35:02,228.0,,129.0,18.0,25.0,28.0,39.0,841.0,python partial dependence plot toolbox.,7.0,21,False,2023-06-05 02:53:01.145,0.3.0,4.0,pdpbox,conda-forge/pdpbox,,,,16472.0,26.0,,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,16128.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,21704.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+701,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,,160.0,37.0,46.0,43.0,49.0,819.0,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,1022.0,108.0,99.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,9.0,1022.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+702,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,,126.0,30.0,29.0,21.0,34.0,772.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,21,False,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,['sklearn'],,1161.0,47.0,47.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,,1161.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+703,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,,141.0,24.0,19.0,26.0,5.0,744.0,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'],,40246.0,669.0,661.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,8.0,40070.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,8489.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+704,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2022-07-22 06:10:37.000000,2020-03-17 22:44:47,642.0,,74.0,25.0,37.0,27.0,21.0,736.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,21,False,2019-12-01 01:19:50.000,0.7.5,64.0,test_tube,,,,26.0,42083.0,35.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,35.0,42083.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+705,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,,107.0,30.0,1.0,15.0,3.0,642.0,(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']",,20170.0,678.0,661.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,17.0,20170.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+706,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,,,,,22896.0,227.0,219.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,8.0,22896.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+707,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,,95.0,26.0,32.0,35.0,6.0,618.0,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'],,19045.0,408.0,400.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,8.0,19045.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+708,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,,111.0,26.0,23.0,66.0,35.0,609.0,a distributed Hyperband implementation on Steroids.,11.0,21,False,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,7607.0,494.0,469.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,25.0,7182.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,19554.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+709,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,,57.0,19.0,216.0,49.0,315.0,606.0,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,,,,,879.0,64.0,63.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,879.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+710,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,,86.0,7.0,20.0,4.0,92.0,586.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code...,18.0,21,True,2024-02-10 13:12:00.000,0.5.7,162.0,featurewiz,,,,,39514.0,76.0,74.0,https://pypi.org/project/featurewiz,2024-02-10 13:12:00.000,2.0,39514.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+711,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2024-06-16 04:23:17.000000,2024-06-16 04:23:17,307.0,,105.0,9.0,15.0,6.0,16.0,581.0,Make Waffle Charts in Python.,6.0,21,True,2024-06-16 04:18:08.000,1.1.1,28.0,pywaffle,conda-forge/pywaffle,,,,8039.0,414.0,408.0,https://pypi.org/project/pywaffle,2024-06-16 04:18:08.000,6.0,7848.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,13413.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+712,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,,64.0,26.0,31.0,5.0,24.0,571.0,Python module for machine learning time series:.,14.0,21,False,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,1984.0,53.0,51.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,1984.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+713,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2024-07-08 19:15:42.000000,2024-07-08 19:11:02,771.0,,63.0,17.0,114.0,8.0,48.0,571.0,A simplified framework and utilities for PyTorch.,23.0,21,False,2024-07-08 19:12:54.000,1.17.2,38.0,poutyne,,,['pytorch'],,4527.0,148.0,143.0,https://pypi.org/project/poutyne,2024-07-08 19:15:42.000,5.0,4527.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+714,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,,58.0,10.0,21.0,15.0,37.0,558.0,Joyplots in Python with matplotlib & pandas.,8.0,21,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,13578.0,457.0,448.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,9.0,13161.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,27958.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+715,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,,167.0,56.0,20.0,39.0,60.0,548.0,Bayesian inference in HSMMs and HMMs.,13.0,21,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,286.0,33.0,32.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,1.0,286.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+716,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 15:04:58.000,2024-10-08 08:24:02.000000,2024-10-08 08:24:02,1774.0,3.0,75.0,10.0,218.0,49.0,82.0,541.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,21.0,21,False,2023-12-05 11:42:47.000,0.5.3,27.0,quantus,,,,238.0,1431.0,36.0,35.0,https://pypi.org/project/quantus,2023-12-05 11:42:47.000,1.0,1424.0,,,,3.0,,,,,,,3.0,,,,,,,,,,,,,,,,,
+717,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2024-08-20 18:39:53.000000,2021-11-18 21:06:54,172.0,,48.0,9.0,10.0,13.0,21.0,497.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,21,False,2023-11-17 16:33:58.000,0.6.1,14.0,apricot-select,,,,29.0,6850.0,152.0,144.0,https://pypi.org/project/apricot-select,2021-02-18 06:55:02.000,8.0,6850.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+718,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2024-09-23 04:22:16.000000,2023-07-18 10:24:07,542.0,,35.0,14.0,225.0,15.0,40.0,496.0,Monitor the stability of a Pandas or Spark dataframe.,17.0,21,False,2023-07-18 10:32:00.587,1.4.6,36.0,popmon,,,"['pandas', 'spark']",238.0,19560.0,24.0,22.0,https://pypi.org/project/popmon,2023-07-18 10:32:00.587,2.0,19556.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+719,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2024-10-04 17:41:19.000000,2024-09-24 15:52:47,3054.0,20.0,64.0,11.0,268.0,11.0,112.0,437.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,25.0,21,True,2023-07-13 11:41:03.541,0.1.2,12.0,pykale,,,['pytorch'],,533.0,4.0,4.0,https://pypi.org/project/pykale,2022-04-12 08:56:50.000,,533.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+720,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,,25.0,9.0,9.0,2.0,9.0,423.0,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'],,378457.0,1878.0,1872.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,6.0,378457.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+721,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-11-25 01:31:29.000000,2020-05-11 14:32:38,782.0,,79.0,24.0,12.0,48.0,49.0,415.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,104.0,4739.0,135.0,132.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,3.0,4739.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+722,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2024-09-01 04:12:59.669000,2024-08-29 18:18:33,183.0,5.0,38.0,9.0,32.0,17.0,20.0,410.0,A python package for animating plots build on matplotlib.,7.0,21,True,2024-08-29 18:26:55.000,0.4.3,11.0,animatplot,conda-forge/animatplot,,,,1289.0,64.0,60.0,https://pypi.org/project/animatplot,2024-08-29 17:08:23.000,4.0,986.0,https://anaconda.org/conda-forge/animatplot,2024-09-01 04:12:59.669,14591.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+723,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2024-09-06 09:28:23.000000,2024-09-06 09:27:10,824.0,3.0,26.0,8.0,78.0,33.0,23.0,397.0,Flexible time series feature extraction & processing.,6.0,21,True,2024-09-06 09:28:53.000,0.4.1,38.0,tsflex,conda-forge/tsflex,,,,2117.0,19.0,17.0,https://pypi.org/project/tsflex,2024-09-06 09:26:32.000,2.0,1451.0,https://anaconda.org/conda-forge/tsflex,2024-04-08 09:54:58.786,26008.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+724,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,,49.0,17.0,2.0,12.0,3.0,377.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,21,True,2024-02-08 01:53:44.000,0.1.3,14.0,suod,,,,,9356.0,540.0,532.0,https://pypi.org/project/suod,2024-02-08 01:53:44.000,8.0,9356.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+725,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,,85.0,29.0,318.0,75.0,27.0,373.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,21,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,['tensorflow'],,32495.0,7.0,,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,32495.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+726,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,,49.0,11.0,37.0,29.0,37.0,352.0,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,,,,,5071.0,257.0,241.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,16.0,5071.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+727,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,,36.0,18.0,6.0,19.0,21.0,310.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,28.0,21,False,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,['tensorflow'],,1928.0,118.0,115.0,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,3.0,1928.0,,,,3.0,,,,,,google-deepmind/launchpad,,,,,,,,,,,,,,,,,,
+728,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,,56.0,26.0,42.0,8.0,10.0,285.0,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']",,493643.0,20.0,18.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,493643.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+729,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,,2021-06-03 12:39:38.000,2024-08-26 15:06:41.000000,2024-08-24 17:15:47,524.0,4.0,57.0,14.0,90.0,26.0,39.0,272.0,Represent trained machine learning models as Pyomo optimization formulations.,21.0,21,False,2024-08-26 15:06:41.000,1.2.0,8.0,omlt,,,,,12266.0,24.0,21.0,https://pypi.org/project/omlt,2024-08-26 15:06:41.000,3.0,12266.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+730,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2024-09-13 04:58:28.982000,2024-01-18 11:58:51,626.0,,68.0,28.0,31.0,33.0,113.0,267.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",20.0,21,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,2053.0,6632.0,18.0,,https://pypi.org/project/somoclu,2023-02-18 02:51:08.166,18.0,4084.0,https://anaconda.org/conda-forge/somoclu,2024-09-13 04:58:28.982,121529.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+731,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/predict-idlab/pyRDF2Vec,https://github.com/predict-idlab/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2024-10-01 21:27:00.000000,2023-07-02 18:02:16,1462.0,,47.0,15.0,213.0,27.0,64.0,245.0,Python Implementation and Extension of RDF2Vec.,7.0,21,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,631.0,51.0,45.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,6.0,631.0,,,,3.0,,,,,,predict-idlab/pyRDF2Vec,,,,,,,,,,,,,,,,,,
+732,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 15:02:43.000,2024-08-09 06:53:19.000000,2024-08-09 06:53:17,591.0,1.0,35.0,24.0,644.0,21.0,129.0,243.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,21,False,2024-06-21 06:39:45.000,0.16.0,21.0,larq-compute-engine,,,,1213.0,3444.0,10.0,10.0,https://pypi.org/project/larq-compute-engine,2024-06-21 07:18:03.000,,3423.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+733,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2024-09-26 08:36:59.000000,2024-09-26 08:31:01,28.0,4.0,23.0,8.0,13.0,3.0,11.0,213.0,A Python module to convert natural language numerics into ints and floats.,4.0,21,False,2024-09-26 08:36:59.000,0.2.4,12.0,numerizer,,,,,22538.0,93.0,90.0,https://pypi.org/project/numerizer,2024-09-26 08:36:59.000,3.0,22538.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+734,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2024-06-18 11:46:06.000000,2021-06-13 00:22:13,176.0,,1717.0,19.0,19.0,72.0,24.0,5097.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,20,False,2021-05-27 22:28:29.000,0.1.2,13.0,deepmatcher,,,,,5302.0,,,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,5302.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+735,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,,357.0,101.0,16.0,53.0,17.0,3414.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",15.0,20,False,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,1067.0,161.0,154.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,1067.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+736,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,,321.0,58.0,242.0,175.0,111.0,3183.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,20.0,20,False,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,694.0,4522.0,2.0,,https://pypi.org/project/lightseq,2022-11-03 06:46:55.989,2.0,4511.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+737,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,,398.0,101.0,54.0,64.0,48.0,2938.0,Quickly search over billions of images.,19.0,20,False,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,887.0,4.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,4.0,887.0,,,,3.0,,,,,,rhsimplex/image-match,,,,,,,,,,,,,,,,,,
+738,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,,332.0,101.0,1000.0,94.0,263.0,2854.0,"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,,,,,,,,,,,,,,,,,,,,,,,,
+739,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,,831.0,84.0,30.0,46.0,80.0,2672.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,696.0,74.0,74.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,,696.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+740,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,,237.0,61.0,106.0,27.0,56.0,2136.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,20,False,2021-05-21 00:29:47.000,0.2,3.0,pycls,,,['pytorch'],,1325.0,20.0,20.0,https://pypi.org/project/pycls,2020-09-05 00:21:00.000,,1325.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+741,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,,181.0,55.0,895.0,129.0,586.0,1930.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",52.0,20,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,17.0,,,,,,,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,1055.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+742,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2024-07-15 07:18:56.000000,2024-02-04 20:37:53,1083.0,,281.0,31.0,41.0,34.0,176.0,1860.0,A library for graph deep learning research.,50.0,20,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,547.0,,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,,547.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+743,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2024-06-13 10:11:03.000000,2024-01-16 17:27:35,27.0,,104.0,39.0,31.0,30.0,79.0,1814.0,"A flexible, intuitive and fast forecasting library.",10.0,20,True,2024-01-18 18:33:20.000,1.0.0,11.0,greykite,,,,36.0,6814.0,34.0,34.0,https://pypi.org/project/greykite,2024-01-12 20:13:07.000,,6813.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+744,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2024-07-31 12:13:28.000000,2024-07-17 07:59:47,373.0,2.0,159.0,18.0,74.0,24.0,41.0,1790.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,18.0,20,True,2023-09-06 15:46:59.000,0.1.2,12.0,pythae,,,['pytorch'],,2218.0,33.0,33.0,https://pypi.org/project/pythae,2023-09-06 15:46:59.000,,2218.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+745,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,,118.0,38.0,11.0,39.0,51.0,1624.0,"A fast, efficient universal vector embedding utility package.",4.0,20,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,2942.0,9.0,,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,9.0,2942.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+746,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,,292.0,66.0,202.0,5.0,74.0,1590.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,,['tensorflow'],,339.0,2.0,2.0,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000,,137.0,,,,3.0,zh794390558/delta,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13131.0,,,,,,,,,,,,,,,,,,,
+747,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,,156.0,46.0,3.0,13.0,15.0,1532.0,"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'],,2075.0,32.0,32.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,2075.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+748,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,,257.0,56.0,65.0,8.0,31.0,1380.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,20,False,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,420.0,4.0,4.0,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,420.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+749,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,,182.0,19.0,262.0,77.0,94.0,1347.0,Generate Diverse Counterfactual Explanations for any machine learning model.,19.0,20,True,2023-10-26 11:36:48.000,0.11,12.0,dice-ml,,,"['tensorflow', 'pytorch']",,33719.0,6.0,,https://pypi.org/project/dice-ml,2023-10-27 03:54:06.000,6.0,33719.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+750,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,,101.0,39.0,13.0,14.0,9.0,1272.0,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,,,,,2876.0,170.0,168.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,2.0,2876.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+751,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2024-10-01 18:35:24.000000,2024-10-01 18:33:14,293.0,4.0,62.0,15.0,62.0,9.0,21.0,1031.0,"Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and video, up..",18.0,20,True,2024-10-01 18:35:24.000,3.0.3,35.0,uform,,,['pytorch'],412.0,1882.0,8.0,6.0,https://pypi.org/project/uform,2024-10-01 18:35:24.000,2.0,1862.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+752,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,,169.0,57.0,14.0,30.0,19.0,1026.0,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,,,,716.0,184.0,182.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,2.0,487.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,9410.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+753,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,,131.0,36.0,16.0,9.0,4.0,925.0,Nudity detection with Python.,12.0,20,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,778.0,3641.0,3636.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,5.0,778.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+754,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2024-06-27 07:32:19.000000,2024-06-27 07:26:43,298.0,,85.0,23.0,49.0,16.0,17.0,833.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,20,True,2024-06-18 06:17:13.000,0.2.17,23.0,evojax,conda-forge/evojax,,['jax'],,2775.0,32.0,26.0,https://pypi.org/project/evojax,2024-06-18 06:17:13.000,6.0,1843.0,https://anaconda.org/conda-forge/evojax,2024-06-18 11:07:15.191,29844.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+755,NearPy,pixelogik/NearPy,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000,2023-02-23 15:20:18.000000,2023-01-22 20:07:16,161.0,,147.0,36.0,33.0,26.0,39.0,763.0,"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,,,,,790.0,115.0,115.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,,790.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+756,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2024-07-28 01:04:48.000000,2024-07-22 10:16:42,493.0,1.0,112.0,34.0,561.0,211.0,246.0,759.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,20,True,2024-06-14 12:19:07.000,24.06.00,16.0,merlin-core,,,,,9406.0,1.0,,https://pypi.org/project/merlin-core,2023-08-29 16:27:32.000,1.0,9406.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+757,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 15:23:32.000,2024-08-20 13:45:17.000000,2024-05-05 11:51:05,300.0,,114.0,18.0,26.0,2.0,87.0,727.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",13.0,20,True,2024-05-05 11:51:57.000,0.0.92,39.0,auto-ts,,,,,11910.0,,,https://pypi.org/project/auto-ts,2024-05-05 11:51:57.000,,11910.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+758,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2024-08-07 20:31:21.000000,2024-01-09 18:05:38,305.0,,106.0,5.0,3.0,1.0,,722.0,Data Analysis Baseline Library.,24.0,20,True,2024-08-07 20:31:21.000,0.3.1,19.0,dabl,,,['sklearn'],,5508.0,3.0,,https://pypi.org/project/dabl,2024-08-07 20:31:21.000,3.0,5508.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+759,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2024-07-25 11:20:23.000000,2022-02-09 16:35:40,142.0,,103.0,23.0,26.0,44.0,61.0,613.0,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'],,5069.0,185.0,183.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,4949.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,4824.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+760,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,,75.0,39.0,17.0,14.0,22.0,569.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,22.0,20,False,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,396.0,38.0,34.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,396.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+761,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,,57.0,60.0,9.0,25.0,25.0,546.0,Python library assists deep learning on graphs.,18.0,20,True,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,13.0,595.0,115.0,113.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,2.0,595.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+762,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,,109.0,19.0,57.0,26.0,21.0,495.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,20,False,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,5161.0,83.0,75.0,https://pypi.org/project/rrcf,2023-04-30 02:25:49.592,8.0,5161.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+763,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,,32.0,16.0,148.0,40.0,66.0,470.0,A High Level API for Deep Learning in JAX.,18.0,20,False,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,"['tensorflow', 'jax']",,2296.0,54.0,54.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,2296.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+764,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,,52.0,25.0,19.0,15.0,17.0,324.0,Logging MXNet data for visualization in TensorBoard.,9.0,20,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,['mxnet'],,2735.0,256.0,256.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,,2735.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+765,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/vega/vegafusion,https://github.com/vega/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2024-10-09 16:17:25.000000,2024-08-14 15:39:49,663.0,2.0,18.0,23.0,361.0,50.0,87.0,318.0,Serverside scaling for Vega and Altair visualizations.,4.0,20,True,2024-05-09 19:19:11.000,1.6.9,75.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,7523.0,9926.0,5.0,,https://pypi.org/project/vegafusion-jupyter,2024-05-09 19:01:07.000,2.0,1589.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2024-05-10 13:02:13.580,243767.0,3.0,,,,,,vega/vegafusion,,,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2024-05-09 19:11:31.675,3.0,247.0,,,,,,,,,,,
+766,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,,26.0,22.0,239.0,24.0,25.0,300.0,Textpipe: clean and extract metadata from text.,29.0,20,False,2021-01-25 14:05:21.000,0.12.2,39.0,textpipe,,,,,1019.0,11.0,10.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000,1.0,1019.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+767,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2024-09-13 15:25:32.000000,2024-09-13 15:25:31,427.0,5.0,76.0,21.0,443.0,27.0,51.0,274.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,32.0,20,False,2023-10-25 10:51:36.000,0.2.1,23.0,pipeline-dp,,,,,464.0,4.0,4.0,https://pypi.org/project/pipeline-dp,2023-11-22 19:01:05.000,,464.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+768,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2024-10-10 01:45:54.000000,2024-10-04 20:13:18,493.0,4.0,109.0,20.0,552.0,58.0,126.0,266.0,An open-source toolkit for large-scale genomic analysis.,28.0,20,False,2024-03-12 08:52:09.000,2.0.0,16.0,glow.py,conda-forge/glow,,,109.0,58731.0,,,https://pypi.org/project/glow.py,2024-03-12 08:52:09.000,,58615.0,https://anaconda.org/conda-forge/glow,2024-03-13 03:00:18.463,5070.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+769,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,,21.0,18.0,464.0,90.0,76.0,235.0,Functional tensors for probabilistic programming.,11.0,20,False,2023-08-31 18:37:22.000,0.4.6,12.0,funsor,,,['pytorch'],,6743.0,82.0,72.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,10.0,6743.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+770,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,,,,414.0,1530.0,448.0,446.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,2.0,1526.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+771,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,,766.0,338.0,58.0,2.0,,6758.0,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,19,False,2018-02-17 00:12:46.000,2018.1.2,18.0,SerpentAI,,,,370.0,546.0,,,https://pypi.org/project/SerpentAI,2018-02-17 00:12:46.000,,540.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+772,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,,279.0,31.0,22.0,34.0,37.0,3184.0,A small package to create visualizations of PyTorch execution graphs.,6.0,19,False,,,,,,,,,,2189.0,2189.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+773,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,,178.0,24.0,20.0,18.0,30.0,1693.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,19,False,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,46.0,190.0,8.0,8.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,189.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+774,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2024-08-12 14:02:24.000000,2022-05-24 23:48:09,791.0,,71.0,27.0,1005.0,127.0,65.0,1649.0,Version control for machine learning.,17.0,19,False,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,371.0,1.0,,https://pypi.org/project/keepsake,2021-01-25 21:51:16.000,1.0,371.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+775,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,,167.0,43.0,6.0,4.0,7.0,1109.0,XAI - An eXplainability toolbox for machine learning.,3.0,19,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,411.0,32.0,32.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,,411.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+776,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,,138.0,17.0,11.0,42.0,43.0,1084.0,"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'],,6911.0,161.0,156.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,6911.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+777,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,,179.0,18.0,42.0,23.0,60.0,913.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,19,False,2020-12-01 06:11:12.000,1.2.1.post2,10.0,robustness,conda-forge/robustness,,,,964.0,194.0,191.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,3.0,768.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,9822.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+778,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,,141.0,14.0,24.0,58.0,69.0,857.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,527.0,103.0,102.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,527.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+779,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,,230.0,29.0,38.0,43.0,21.0,851.0,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,,,,,2576.0,,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,,2576.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+780,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,,175.0,33.0,15.0,19.0,22.0,780.0,TensorFlow implementation of an arbitrary order Factorization Machine.,11.0,19,False,2022-01-17 20:35:57.000,1.0.2,3.0,tffm,,,['tensorflow'],,205.0,15.0,15.0,https://pypi.org/project/tffm,2022-01-17 20:35:57.000,,205.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+781,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 19:03:34.000,2024-07-16 19:49:29.000000,2020-04-25 18:37:42,198.0,,101.0,26.0,49.0,15.0,54.0,734.0,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,,,,,804.0,30.0,28.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,2.0,804.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+782,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2024-07-30 21:34:45.000000,2021-09-16 17:56:31,171.0,,144.0,34.0,84.0,16.0,55.0,628.0,Code for the TCAV ML interpretability project.,19.0,19,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,['tensorflow'],,228.0,27.0,24.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,228.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+783,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2024-08-18 17:19:42.000000,2024-08-18 17:07:49,821.0,2.0,40.0,15.0,18.0,,22.0,600.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,19,True,2024-08-18 17:19:42.000,3.1.4,28.0,opytimizer,,,,,804.0,19.0,19.0,https://pypi.org/project/opytimizer,2024-08-18 17:19:42.000,,804.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+784,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,,97.0,15.0,53.0,13.0,16.0,565.0,A library of metrics for evaluating recommender systems.,20.0,19,True,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,8.0,4485.0,58.0,58.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,4485.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+785,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,,71.0,13.0,10.0,24.0,41.0,564.0,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,,,,,1264.0,53.0,53.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,1264.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+786,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,,140.0,56.0,72.0,18.0,71.0,525.0,"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,,,,,871.0,22.0,22.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,871.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+787,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,,92.0,22.0,19.0,6.0,20.0,483.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,19,False,2021-11-25 23:19:05.000,1.1.1,42.0,caserecommender,,,['sklearn'],,1674.0,14.0,14.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000,,1674.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+788,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2024-09-18 17:05:04.000000,2023-01-13 21:57:34,832.0,,54.0,,,,,455.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,19,False,2024-09-18 17:05:04.000,0.12.2,50.0,sklearn-evaluation,,,['sklearn'],,5091.0,3.0,,https://pypi.org/project/sklearn-evaluation,2024-09-18 17:05:04.000,3.0,5091.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+789,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,,72.0,25.0,48.0,18.0,19.0,408.0,"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'],,5769.0,28.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000,28.0,5342.0,https://anaconda.org/conda-forge/skrebate,2023-06-16 16:08:23.527,34632.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+790,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2024-08-28 17:11:07.000000,2024-04-26 20:31:49,327.0,,78.0,25.0,345.0,26.0,10.0,341.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,36.0,19,True,2024-04-26 21:27:16.000,0.46.0,31.0,fairness-indicators,,,"['tensorflow', 'jupyter']",,2274.0,,,https://pypi.org/project/fairness-indicators,2024-04-26 21:27:16.000,,2274.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+791,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.,8.0,19,False,2023-03-07 22:10:10.175,0.8.9,49.0,camphr,,,['spacy'],,2518.0,17.0,15.0,https://pypi.org/project/camphr,2023-03-07 22:10:10.175,2.0,2518.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+792,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2024-09-03 22:33:34.000000,2024-07-08 16:17:35,399.0,,129.0,34.0,325.0,83.0,132.0,333.0,Brain Imaging Analysis Kit.,35.0,19,True,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,,,,595.0,,,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000,,578.0,,,,3.0,brainiak/brainiak,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,1869.0,,,,,,,,,,,,,,,,,,,
+793,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2024-09-03 22:45:13.000000,2024-03-27 08:46:27,190.0,,41.0,19.0,4.0,10.0,8.0,284.0,Analyze Data with Pandas-based Networks. Documentation:.,3.0,19,False,2024-03-27 10:16:33.000,0.2.4,14.0,deepgraph,conda-forge/deepgraph,,['pandas'],,6852.0,11.0,11.0,https://pypi.org/project/deepgraph,2024-03-27 10:16:33.000,,2205.0,https://anaconda.org/conda-forge/deepgraph,2024-07-11 16:39:33.824,223098.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+794,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2024-08-01 08:27:07.000000,2024-08-01 08:10:33,265.0,1.0,33.0,11.0,202.0,21.0,76.0,199.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",13.0,19,False,2023-07-26 15:36:39.000,0.7.3,15.0,celer,,,['sklearn'],,1682.0,41.0,40.0,https://pypi.org/project/celer,2023-07-26 15:36:39.000,1.0,1682.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+795,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,,891.0,112.0,51.0,46.0,160.0,6286.0,Model parallel transformers in JAX and Haiku.,23.0,18,False,,,,,,,['jax'],,,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+796,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2024-10-08 15:51:41.000000,2024-10-08 15:51:35,707.0,13.0,425.0,39.0,859.0,149.0,119.0,3287.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,85.0,18,True,,,,,,,['jax'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+797,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,,415.0,106.0,83.0,67.0,48.0,2975.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,['pytorch'],,99.0,,,,,,,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,8787.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+798,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,,459.0,80.0,36.0,83.0,68.0,1693.0,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,,,,,280.0,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000,,280.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+799,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,,254.0,52.0,13.0,20.0,13.0,1546.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,18,False,2018-10-18 02:54:09.000,0.1.6,4.0,advisor,,,,,602.0,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000,,583.0,,,,3.0,tobegit3hub/advisor,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1692.0,,,,,,,,,,,,,,,,,,,
+800,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,,109.0,55.0,34.0,22.0,13.0,1267.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,18,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,696.0,4.0,3.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,696.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+801,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,,93.0,33.0,72.0,31.0,30.0,1107.0,"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'],,7903.0,2.0,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,2.0,7903.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+802,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,,110.0,19.0,37.0,20.0,8.0,1043.0,Distributed Computing for AI Made Simple.,5.0,18,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,1519.0,81.0,80.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,1519.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+803,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,,84.0,14.0,35.0,3.0,24.0,816.0,Leave One Feature Out Importance.,6.0,18,True,2024-01-16 09:19:50.000,0.3.4,14.0,lofo-importance,,,,,3585.0,38.0,34.0,https://pypi.org/project/lofo-importance,2024-01-16 09:19:50.000,4.0,3585.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+804,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,,111.0,20.0,58.0,2.0,13.0,771.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,18,False,2021-10-13 21:04:12.000,2.0.8,119.0,caer,,https://caer.rtfd.io,,40.0,10700.0,2.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000,2.0,10700.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+805,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,,36.0,12.0,13.0,8.0,16.0,771.0,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,18,False,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,['pytorch'],,3406.0,46.0,46.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,3308.0,https://anaconda.org/conda-forge/tensor-sensor,2023-06-16 19:27:38.210,3542.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+806,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,,87.0,25.0,4.0,39.0,42.0,692.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,12.0,18,True,2022-09-19 20:15:07.376,0.3.17,25.0,thundergbm,,,,,840.0,4.0,4.0,https://pypi.org/project/thundergbm,2022-09-19 20:15:07.376,,840.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+807,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,,65.0,17.0,21.0,29.0,50.0,675.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,18,False,2020-06-12 20:05:15.000,0.3.9,26.0,nboost,,,,,691.0,5.0,5.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000,,691.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+808,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,,,,47458.0,15.0,14.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,689.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2291725.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+809,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2024-06-08 12:12:57.000000,2024-02-21 14:09:04,30.0,,69.0,7.0,6.0,4.0,32.0,562.0,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,,,,,2559.0,22.0,20.0,https://pypi.org/project/shap-hypetune,2024-02-21 14:34:22.000,2.0,2559.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+810,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 21:00:31.000,2024-07-19 18:49:00.000000,2024-07-19 16:10:42,70.0,1.0,54.0,18.0,10.0,4.0,18.0,524.0,Topological Data Analysis for Python.,6.0,18,True,2024-07-19 18:49:00.000,1.1.1,6.0,scikit-tda,,,['sklearn'],,1202.0,62.0,62.0,https://pypi.org/project/scikit-tda,2024-07-19 18:49:00.000,,1202.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+811,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,,105.0,13.0,130.0,18.0,138.0,480.0,A Python library for dynamic classifier and ensemble selection.,17.0,18,True,2024-04-12 03:07:31.000,0.3.7,6.0,deslib,,,['sklearn'],,1260.0,3.0,,https://pypi.org/project/deslib,2024-04-12 03:07:31.000,3.0,1260.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+812,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2024-10-03 08:28:42.000000,2024-07-16 08:32:27,987.0,1.0,84.0,30.0,98.0,15.0,27.0,452.0,A Python implementation of active inference for Markov Decision Processes.,18.0,18,True,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,769.0,13.0,13.0,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,769.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+813,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,,105.0,71.0,7.0,15.0,19.0,430.0,semantic similarity framework for knowledge graph.,10.0,18,True,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,552.0,48.0,48.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,,552.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+814,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,,82.0,20.0,248.0,10.0,23.0,421.0,A toolkit that streamlines and automates the generation of model cards.,22.0,18,False,2023-04-03 18:05:05.715,2.0.0,12.0,model-card-toolkit,,,,26.0,1946.0,1.0,,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,1.0,1946.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+815,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,,38.0,12.0,1.0,2.0,80.0,401.0,Deep Learning PyTorch.,1.0,18,True,2024-01-09 05:17:07.000,0.5.0,103.0,carefree-learn,,,['pytorch'],,3230.0,8.0,8.0,https://pypi.org/project/carefree-learn,2024-01-09 05:17:07.000,,3230.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+816,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,,60.0,8.0,12.0,11.0,18.0,396.0,TextAugment: Text Augmentation Library.,8.0,18,True,2023-11-16 20:54:10.000,2.0.0,9.0,textaugment,,,,110.0,5606.0,133.0,129.0,https://pypi.org/project/textaugment,2023-11-16 20:49:04.000,4.0,5605.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+817,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,,30.0,11.0,121.0,31.0,150.0,344.0,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,,,,,760.0,7.0,7.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,760.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+818,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,,52.0,11.0,60.0,17.0,41.0,333.0,"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,,,,,430.0,42.0,38.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,4.0,430.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+819,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2024-07-25 10:59:34.000000,2023-03-28 03:38:13,1094.0,,69.0,28.0,59.0,30.0,32.0,291.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,18,False,2021-05-15 01:39:45.000,0.3.0,10.0,bluefog,,,['pytorch'],202.0,360.0,5.0,5.0,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,357.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+820,solt,Oulu-IMEDS/solt,image,,https://github.com/Oulu-IMEDS/solt,https://github.com/Oulu-IMEDS/solt,MIT,2018-08-02 15:09:05.000,2024-07-25 10:53:20.000000,2024-06-22 08:32:56,378.0,,19.0,6.0,33.0,20.0,39.0,263.0,Streaming over lightweight data transformations.,6.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,713.0,61.0,58.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,713.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+821,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,,43.0,11.0,60.0,31.0,47.0,241.0,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'],,257.0,22.0,18.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,4.0,257.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+822,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,,33.0,14.0,36.0,9.0,44.0,231.0,A library for augmenting annotated audio data.,7.0,18,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,303.0,32.0,30.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,303.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+823,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 07:47:03.000,2024-06-30 08:01:08.000000,2024-06-30 08:01:08,6.0,,57.0,5.0,2.0,3.0,1.0,131.0,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,,,,315873.0,9827.0,9698.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,129.0,315841.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,1255.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+824,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,,1350.0,466.0,21.0,59.0,167.0,7107.0,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,,,,,,,,,,,,,,,,,,
+825,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,,144.0,17.0,11.0,25.0,18.0,1162.0,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'],,1051.0,59.0,57.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,1051.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+826,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,,57.0,15.0,10.0,26.0,17.0,777.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,17,False,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,611.0,59.0,59.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,611.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+827,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,,103.0,24.0,101.0,37.0,84.0,706.0,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,,,,512.0,628.0,,,https://pypi.org/project/hyperparameter-hunter,2018-06-14 02:21:57.000,,621.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+828,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,,94.0,18.0,19.0,4.0,29.0,639.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,17,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,267.0,18.0,18.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,267.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+829,kglib,vaticle/kglib,graph,,https://github.com/typedb/typedb-ml,https://github.com/typedb/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,,98.0,38.0,106.0,12.0,51.0,551.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,13.0,17,True,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,240.0,369.0,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,366.0,,,,3.0,,,,,,typedb/typedb-ml,,,,,,,,,,,,,,,,,,
+830,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,,84.0,36.0,47.0,5.0,12.0,411.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,17,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,327.0,5.0,4.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,327.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+831,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,,37.0,15.0,39.0,2.0,13.0,397.0,High-level batteries-included neural network training library for Pytorch.,4.0,17,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,['pytorch'],,174.0,12.0,12.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,174.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+832,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,,38.0,21.0,5.0,11.0,23.0,352.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,17,True,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,['tensorflow'],,518.0,,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000,,518.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+833,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,,32.0,23.0,21.0,17.0,10.0,344.0,Interactive plotting for Pandas using Vega-Lite.,9.0,17,False,,,1.0,pdvega,,,,,160.0,89.0,89.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,,160.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+834,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,,24.0,10.0,8.0,1.0,10.0,235.0,scikit-learn wrappers for Python fastText.,9.0,17,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,['sklearn'],,5554.0,17.0,17.0,https://pypi.org/project/skift,2018-03-15 09:05:47.000,,5554.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+835,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2024-07-02 00:10:02.000000,2024-06-01 12:08:31,372.0,,37.0,6.0,134.0,,35.0,225.0,"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,,,,3198.0,1.0,,https://pypi.org/project/chitra,2022-01-09 08:50:45.005,1.0,3088.0,https://anaconda.org/conda-forge/chitra,2023-06-18 08:40:33.534,3632.0,3.0,,,,,,aniketmaurya/chitra,,,,,,,,,,,,,,,,,,
+836,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,,45.0,1.0,,,,213.0,Pytorch framework for doing deep learning on point clouds.,29.0,17,False,2021-04-30 09:00:22.000,1.3.0,14.0,torch-points3d,,,['pytorch'],,1408.0,,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000,,1408.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+837,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2024-06-06 14:34:14.000000,2024-06-06 14:27:44,864.0,,17.0,8.0,184.0,11.0,23.0,155.0,Toolkit for developing and maintaining ML models.,14.0,17,False,2024-02-02 14:57:28.000,0.1.2,35.0,modelkit,,,,,10065.0,,,https://pypi.org/project/modelkit,2024-02-02 14:55:53.000,,10065.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+838,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69.0,,32.0,13.0,54.0,16.0,50.0,134.0,"Lightweight, Python library for fast and reproducible experimentation.",7.0,17,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,419.0,64.0,59.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,419.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+839,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,,20.0,31.0,53.0,7.0,7.0,107.0,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",15.0,17,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,['pytorch'],,559.0,50.0,50.0,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,559.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+840,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,,1055.0,119.0,24.0,17.0,353.0,4324.0,An Open-Source Package for Neural Relation Extraction (NRE).,13.0,16,True,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+841,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,,531.0,176.0,110.0,56.0,149.0,3939.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+842,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,,560.0,138.0,28.0,217.0,102.0,2896.0,A distributed graph deep learning framework.,5.0,16,False,2020-07-07 02:24:18.000,2.0.0,2.0,euler-gl,,,['tensorflow'],,73.0,2.0,2.0,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000,,73.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+843,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,,170.0,61.0,10.0,26.0,6.0,1848.0,"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,,,,50.0,133.0,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,133.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+844,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2024-08-08 16:55:04.000000,2024-02-05 15:11:35,743.0,,119.0,29.0,111.0,14.0,25.0,1086.0,An autoML framework & toolkit for machine learning on graphs.,16.0,16,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,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+845,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,,117.0,19.0,295.0,3.0,70.0,1073.0,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,16,False,2022-12-28 02:06:22.000,2.0.0,10.0,textbox,,,,,4.0,7.0,7.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,4.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+846,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,,121.0,49.0,22.0,15.0,9.0,845.0,A medical imaging framework for Pytorch.,8.0,16,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,['pytorch'],,196.0,18.0,18.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,196.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+847,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,,203.0,42.0,667.0,28.0,27.0,823.0,Translate - a PyTorch Language Library.,88.0,16,False,,,1.0,pytorch-translate,,,['pytorch'],,46.0,,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000,,46.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+848,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,,57.0,17.0,7.0,,10.0,801.0,MADGRAD Optimization Method.,2.0,16,False,,,4.0,madgrad,,,['pytorch'],,3499.0,90.0,89.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,1.0,3499.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+849,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,,112.0,28.0,10.0,25.0,51.0,795.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,16,False,,,10.0,anchor_exp,,,,,1596.0,2.0,,https://pypi.org/project/anchor_exp,2020-09-10 22:52:00.000,2.0,1596.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+850,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,,85.0,16.0,15.0,10.0,22.0,730.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,False,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,['pytorch'],,509.0,23.0,23.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,509.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+851,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2018-12-28 23:37:03.000000,,,,150.0,,,51.0,,718.0,Tensorflow wrapper for DataFrames on Apache Spark.,9.0,16,False,2018-05-16 14:20:28.000,0.2.9,2.0,tensorframes,,,"['tensorflow', 'spark']",,10245.0,1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000,1.0,10245.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+852,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,,127.0,42.0,435.0,25.0,130.0,712.0,GPU accelerated signal processing.,46.0,16,False,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+853,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,,38.0,24.0,4.0,4.0,2.0,682.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000,0.1.6,14.0,SpeedTorch,,,['pytorch'],,422.0,9.0,7.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000,2.0,422.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+854,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,,56.0,16.0,83.0,18.0,49.0,601.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,16,False,2022-05-18 08:35:04.000,0.0.32,8.0,KD-Lib,,,['pytorch'],,291.0,,,https://pypi.org/project/KD-Lib,2022-05-18 08:35:04.000,,291.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+855,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,,88.0,21.0,18.0,22.0,2.0,512.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,16,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,1841.0,13.0,13.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,1841.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+856,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2024-09-20 14:21:23.000000,2024-09-20 14:21:18,142.0,2.0,44.0,21.0,171.0,6.0,65.0,500.0,A collection of tools for neural compression enthusiasts.,10.0,16,True,2023-10-03 14:26:28.000,0.3.1,6.0,neuralcompression,,,,,323.0,,,https://pypi.org/project/neuralcompression,2023-10-03 14:26:28.000,,323.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+857,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2024-06-06 22:38:20.000000,2024-01-25 16:57:26,261.0,,66.0,19.0,101.0,19.0,15.0,492.0,"Research workflows made easy, locally and in the Cloud.",10.0,16,True,2023-06-16 17:26:21.434,0.4.2,11.0,caliban,,,,,651.0,4.0,4.0,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,651.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+858,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2024-09-28 19:50:20.000000,2024-09-28 19:49:30,81.0,1.0,61.0,16.0,67.0,7.0,9.0,442.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",4.0,16,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,289.0,12.0,12.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,289.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+859,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2024-08-21 16:55:05.000000,2024-08-21 16:55:05,192.0,1.0,52.0,10.0,17.0,10.0,29.0,413.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,5.0,16,True,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,18.0,1702.0,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,1702.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+860,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,,79.0,18.0,93.0,30.0,18.0,317.0,"pandas, scikit-learn, xgboost and seaborn integration.",4.0,16,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,"['sklearn', 'pandas']",12.0,2528.0,2.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000,2.0,2528.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+861,nanodl,HMUNACHI/nanodl,ml-frameworks,,https://github.com/HMUNACHI/nanodl,https://github.com/HMUNACHI/nanodl,MIT,2023-08-22 13:22:24.000,2024-08-28 21:24:22.000000,2024-08-28 21:24:19,158.0,3.0,11.0,9.0,15.0,2.0,7.0,274.0,A Jax-based library for designing and training transformer models from scratch.,3.0,16,False,2024-08-28 20:41:08.000,0.0.0,8.0,nanodl,,,['jax'],,342.0,2.0,2.0,https://pypi.org/project/nanodl,2024-08-28 20:41:08.000,,342.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+862,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2024-07-31 15:16:51.000000,2021-05-03 09:15:21,219.0,,12.0,16.0,14.0,5.0,4.0,243.0,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",8.0,16,False,2021-04-20 13:53:12.000,0.1.2,16.0,backprop,,,,,1408.0,4.0,4.0,https://pypi.org/project/backprop,2024-07-31 15:16:51.000,,1408.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+863,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.,2.0,16,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,1407.0,8.0,7.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,1407.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+864,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,,13.0,9.0,2.0,,5.0,204.0,"Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers.",3.0,16,False,2023-12-15 03:21:06.000,0.1.29,25.0,ipyexperiments,,,['jupyter'],,916.0,12.0,10.0,https://pypi.org/project/ipyexperiments,2023-12-15 03:21:06.000,2.0,916.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+865,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,,19.0,5.0,2.0,17.0,23.0,194.0,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,16,False,2023-01-22 01:21:35.467,0.75.5,78.0,hugsvision,,,['huggingface'],,2565.0,14.0,14.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,2565.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+866,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,MIT,,2024-09-26 18:33:56.000000,,,,,,,,,,Supercharging Machine Learning.,,16,True,2024-09-19 11:41:36.000,3.46.0,298.0,comet_ml,comet_ml,,,,671504.0,77.0,,https://pypi.org/project/comet_ml,2024-09-26 18:33:56.000,77.0,671504.0,https://anaconda.org/anaconda/comet_ml,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+867,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2024-08-04 16:33:52.000000,2018-09-19 19:27:00,59.0,,843.0,77.0,35.0,120.0,59.0,3412.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,15,False,,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+868,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,,420.0,142.0,72.0,12.0,53.0,2201.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+869,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,,232.0,39.0,40.0,73.0,34.0,1166.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+870,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,,68.0,19.0,177.0,87.0,16.0,414.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,18.0,15,True,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,['jupyter'],,311.0,,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,311.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+871,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,,55.0,18.0,6.0,6.0,,395.0,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,,,,543.0,12.0,11.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,405.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,7060.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+872,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'],,514.0,5.0,5.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,514.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+873,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,,15.0,11.0,6.0,9.0,6.0,311.0,Drift Detection for your PyTorch Models.,4.0,15,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,['pytorch'],,175.0,28.0,28.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,175.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+874,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000,2023-02-22 05:20:46.000000,2021-11-19 06:05:15,700.0,,18.0,13.0,271.0,64.0,181.0,295.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,15,False,,,5.0,data-describe,,,,,564.0,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,564.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+875,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,,29.0,8.0,6.0,8.0,8.0,252.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",4.0,15,False,2021-01-28 09:26:15.000,0.1.8,11.0,onnxt5,,,,,250.0,4.0,4.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,250.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+876,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,,32.0,8.0,72.0,31.0,8.0,231.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,False,,,27.0,neuralqa,,,,,567.0,6.0,6.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,567.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+877,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2023-09-27 23:13:07.000000,2020-06-02 21:10:26,51.0,,27.0,10.0,15.0,9.0,4.0,223.0,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'],,601.0,9.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,9.0,601.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+878,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,,28.0,5.0,5.0,6.0,5.0,198.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,15,False,,,23.0,parfit,,,['sklearn'],,912.0,29.0,29.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,912.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+879,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,,35.0,14.0,18.0,27.0,18.0,123.0,A deep learning python package for neuroimaging data. Made by:.,6.0,15,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,228.0,3.0,3.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000,,228.0,,,,3.0,,,,,,,2.0,,,,,,,,,,,,,,,,,
+880,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,,995.0,64.0,13.0,44.0,25.0,3686.0,Implementation and experiments of graph embedding algorithms.,9.0,14,False,,,,,,,['sklearn'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+881,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,,488.0,67.0,26.0,10.0,97.0,1683.0,An Open-Source Package for Network Embedding (NE).,12.0,14,True,,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+882,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 12:34:57.000,2024-06-17 22:47:46.000000,2022-04-04 08:29:54,41.0,,294.0,53.0,23.0,42.0,85.0,1300.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,14,False,,,,,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+883,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2024-06-14 21:18:09.000000,2024-06-14 21:18:09,16.0,,150.0,32.0,,53.0,60.0,1221.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,14,True,,,4.0,,milagraph/graphvite,,,,77.0,,,,,,,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,4828.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+884,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,,,,2234.0,1.0,,https://pypi.org/project/skater,2018-09-21 07:03:32.000,1.0,692.0,https://anaconda.org/conda-forge/skater,2023-09-18 15:13:22.392,78652.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+885,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2024-08-12 20:48:27.000000,2024-08-12 20:48:27,72.0,4.0,46.0,11.0,11.0,1.0,16.0,755.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",9.0,14,True,,,,rliable`,,,,,,153.0,153.0,https://pypi.org/project/rliable`,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+886,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,,37.0,11.0,8.0,10.0,3.0,345.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,1466.0,2.0,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,2.0,1466.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+887,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2024-07-25 10:16:22.000000,2020-05-28 17:31:53,465.0,,17.0,11.0,58.0,3.0,20.0,291.0,NLP library designed for reproducible experimentation management.,7.0,14,False,2020-05-28 19:00:02.000,0.1.6,8.0,transfer-nlp,,,['pytorch'],,262.0,,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000,,262.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+888,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,,8.0,7.0,4.0,14.0,18.0,83.0,"An intelligent, flexible grammar of machine learning.",3.0,14,False,2021-06-25 14:27:32.000,0.0.7,8.0,nylon-ai,,,,,245.0,3.0,3.0,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000,,245.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+889,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2023-02-16 02:23:02.000000,2021-08-19 13:59:11,444.0,,11.0,7.0,20.0,3.0,,49.0,Distributed machine learning made simple.,2.0,14,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,200.0,42.0,42.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,200.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+890,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,,2017-10-08 11:20:23.000,2024-01-10 11:51:05.000000,2024-01-10 11:51:05,143.0,,984.0,103.0,28.0,28.0,357.0,3816.0,An Open-Source Package for Knowledge Embedding (KE).,14.0,13,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+891,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,,485.0,108.0,12.0,39.0,8.0,2698.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+892,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,,84.0,48.0,4.0,3.0,,2541.0,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'],75.0,1590.0,1.0,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,1.0,1588.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+893,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,,175.0,37.0,10.0,13.0,3.0,1364.0,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+894,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,,53.0,17.0,3.0,2.0,1.0,535.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,13,False,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,424.0,5.0,5.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000,,424.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+895,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2024-09-24 14:15:45.000000,2022-11-21 12:12:41,1044.0,,12.0,6.0,26.0,1.0,2.0,265.0,Maze Applied Reinforcement Learning Framework.,3.0,13,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,,['pytorch'],10.0,556.0,,,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,551.0,,,,3.0,enliteai/maze,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,256.0,,,,,,,,,,,,,,,,,,,
+896,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,,27.0,21.0,44.0,1.0,5.0,201.0,An automatic ML model optimization tool.,11.0,13,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,1023.0,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,1023.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+897,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2024-06-17 22:44:04.000000,2024-01-09 14:26:42,74.0,,26.0,8.0,17.0,4.0,6.0,193.0,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'],,115.0,6.0,6.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000,,115.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+898,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.,11.0,13,False,,,2.0,autodist,,,['tensorflow'],,217.0,3.0,3.0,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,217.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+899,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-11-14 18:32:58.000000,2021-08-01 07:11:57,363.0,,12.0,5.0,1238.0,4.0,10.0,126.0,Experiment tracking for machine and deep learning projects.,3.0,13,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,,,,842.0,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,833.0,,,,3.0,modelchimp/modelchimp-server,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,667.0,,,,,,,,,,,,,,,,,,,
+900,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,,2.0,4.0,122.0,Tools for training explainable models using attribution priors.,6.0,13,False,2021-03-16 17:47:18.000,1.0.0,4.0,attributionpriors,,,"['tensorflow', 'pytorch']",,441.0,6.0,6.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000,,441.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+901,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2024-09-17 10:38:04.000000,2024-09-17 10:34:46,319.0,5.0,7.0,7.0,127.0,9.0,9.0,119.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,13,False,2024-09-17 10:36:38.000,0.2.8,10.0,,,,['jax'],,,6.0,6.0,,,,,,,,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.",8.0,13,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,246.0,6.0,6.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,246.0,,,,3.0,,,,,,genixpro/hypermax,,,,,,,,,,,,,,,,,,
+903,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,,,44.0,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,,,,,960.0,3.0,3.0,https://pypi.org/project/bias-detector,2024-02-04 11:31:27.000,,960.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+904,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,,,,,323.0,8.0,8.0,https://pypi.org/project/nptsne,2021-12-23 15:53:08.000,,323.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+905,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,,408.0,63.0,6.0,65.0,17.0,1928.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+906,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,,323.0,88.0,11.0,12.0,6.0,1758.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+907,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,,11.0,8.0,4.0,6.0,14.0,104.0,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'],,657.0,,,https://pypi.org/project/spacy-dbpedia-spotlight,2022-10-07 09:58:11.751,,657.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+908,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,,12.0,13.0,26.0,4.0,13.0,86.0,"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,,,,,128.0,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000,,128.0,,,,3.0,,,,,,SAP-archive/contextual-ai,,,,,,,,,,,,,,,,,,
+909,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2024-07-30 21:36:15.000000,2022-02-09 22:20:11,9.0,,460.0,93.0,22.0,52.0,15.0,3265.0,AutoML algorithms for model architecture search at scale.,1.0,11,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+910,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,,116.0,44.0,13.0,7.0,20.0,949.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+911,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,,,,,,,,,,,,,,,,,,,,,,,,
+912,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,,21.0,12.0,41.0,7.0,12.0,366.0,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'],,,5.0,5.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+913,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,,87.0,17.0,5.0,4.0,12.0,606.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,['sklearn'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+914,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,,50.0,16.0,13.0,14.0,11.0,528.0,Library for Textless Spoken Language Processing.,8.0,10,False,,,,,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+915,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.,2.0,10,False,2020-01-26 23:08:16.000,1.0.1,7.0,hypertunity,,,,,128.0,4.0,4.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000,,128.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+916,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,,25.0,7.0,2.0,2.0,6.0,148.0,Python package to generate stock portfolios.,4.0,9,False,2020-03-13 20:04:08.000,0.2,3.0,pyrtfolio,,,,,34.0,2.0,2.0,https://pypi.org/project/pyrtfolio,2020-03-13 20:31:47.000,,34.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+917,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']",,83.0,2.0,2.0,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,83.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
+918,tslumen,hsbc/tslumen,time-series-data,,https://github.com/hsbc/tslumen,https://github.com/hsbc/tslumen,Apache-2.0,2022-11-09 14:06:09.000,2024-08-11 23:52:21.000000,2022-11-22 16:44:39,2.0,,7.0,7.0,2.0,1.0,,66.0,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,,,,55.0,1.0,,https://pypi.org/project/tslumen,2022-11-22 17:50:34.944,1.0,55.0,https://anaconda.org/conda-forge/tslumen,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,
diff --git a/latest-changes.md b/latest-changes.md
index e3a8833..3f66a97 100644
--- a/latest-changes.md
+++ b/latest-changes.md
@@ -2,35 +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._
-- XGBoost (π₯46 Β· β 26K Β· π) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT.. Apache-2
-- PySpark (π₯45 Β· β 39K Β· π) - Apache Spark Python API. Apache-2 MIT
-- Prophet (π₯35 Β· β 18K Β· π) - Tool for producing high quality forecasts for time series data that.. MIT
-- hdbscan (π₯33 Β· β 2.8K Β· π) - A high performance implementation of HDBSCAN clustering. BSD-3 BSD-3 MIT
-- PaddleDetection (π₯29 Β· β 13K Β· π) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 Apache-2 Apache-2 BSD-3 Apache-2
+- pygraphistry (π₯32 Β· β 2.1K Β· π) - PyGraphistry is a Python library to quickly load,.. BSD-3 MIT BSD-3 βUnlicensed
+- scikit-posthocs (π₯26 Β· β 340 Β· π) - Multiple Pairwise Comparisons (Post Hoc) Tests in.. MIT Apache-2 βοΈGPL-3.0
+- DeepNeuro (π₯15 Β· β 120 Β· π) - A deep learning python package for neuroimaging data. Made by:. MIT
## π 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._
-- mlflow (π₯43 Β· β 18K Β· π) - Open source platform for the machine learning lifecycle. Apache-2
-- networkx (π₯43 Β· β 15K Β· π) - Network Analysis in Python. BSD-3
-- litellm (π₯43 Β· β 13K Β· π) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s
-- DeepChem (π₯34 Β· β 5.4K Β· π) - Democratizing Deep-Learning for Drug Discovery, Quantum.. MIT BSD-3
-- Alibi (π₯26 Β· β 2.4K Β· π) - Algorithms for explaining machine learning models. βοΈIntel
-- Orbit (π₯23 Β· β 1.9K Β· π) - A Python package for Bayesian forecasting with object-oriented.. Apache-2
-- uber/orbit (π₯23 Β· β 1.9K Β· π) - A Python package for Bayesian forecasting with object-.. Apache-2
-- nebullvm (π₯21 Β· β 8.4K Β· π) - A collection of libraries to optimise AI model performances. Apache-2
-- model-card-toolkit (π₯18 Β· β 420 Β· π) - A toolkit that streamlines and automates the.. Apache-2
-
-## β Added Projects
-
-_Projects that were recently added to this best-of list._
-
-- Opik (π₯24 Β· β 1.5K Β· β) - Open-source end-to-end LLM Development Platform. Apache-2
+- PaddlePaddle (π₯45 Β· β 22K Β· π) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 Apache-2 MIT o t h e r s
+- sentence-transformers (π₯40 Β· β 15K Β· π) - State-of-the-Art Text Embeddings. Apache-2 BSD-3
+- PyCaret (π₯36 Β· β 8.9K Β· π) - An open-source, low-code machine learning library in Python. MIT
+- horovod (π₯35 Β· β 14K Β· π) - Distributed training framework for TensorFlow, Keras, PyTorch,.. Apache-2
+- PyOD (π₯35 Β· β 8.5K Β· π) - A Python Library for Outlier and Anomaly Detection, Integrating.. BSD-2
+- imbalanced-learn (π₯33 Β· β 6.8K Β· π) - A Python Package to Tackle the Curse of Imbalanced.. MIT βοΈAGPL-3.0