diff --git a/README.md b/README.md
index 9139aef3..4d143b69 100644
--- a/README.md
+++ b/README.md
@@ -101,32 +101,32 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (π₯55 Β· β 180K) - An Open Source Machine Learning Framework for Everyone. Apache-2 
-- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.5K Β· π 89K Β· π¦ 310K Β· π 38K - 5% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.5K Β· π 89K Β· π¦ 310K Β· π 38K - 5% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/tensorflow/tensorflow
```
-- [PyPi](https://pypi.org/project/tensorflow) (π₯ 18M / month Β· π¦ 15K Β· β±οΈ 26.09.2023):
+- [PyPi](https://pypi.org/project/tensorflow) (π₯ 18M / month Β· π¦ 15K Β· β±οΈ 25.10.2023):
```
pip install tensorflow
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow) (π₯ 4.4M Β· β±οΈ 11.10.2023):
+- [Conda](https://anaconda.org/conda-forge/tensorflow) (π₯ 4.4M Β· β±οΈ 23.10.2023):
```
conda install -c conda-forge tensorflow
```
-- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 75M Β· β 2.2K Β· β±οΈ 19.10.2023):
+- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 75M Β· β 2.2K Β· β±οΈ 26.10.2023):
```
docker pull tensorflow/tensorflow
```
PyTorch (π₯53 Β· β 72K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 
+PyTorch (π₯54 Β· β 72K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3
-- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 4.4K Β· π 19K Β· π₯ 26K Β· π¦ 330K Β· π 38K - 33% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 4.4K Β· π 19K Β· π₯ 26K Β· π¦ 330K Β· π 38K - 33% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/pytorch/pytorch
```
-- [PyPi](https://pypi.org/project/torch) (π₯ 13M / month Β· π¦ 11K Β· β±οΈ 04.10.2023):
+- [PyPi](https://pypi.org/project/torch) (π₯ 14M / month Β· π¦ 11K Β· β±οΈ 04.10.2023):
```
pip install torch
```
@@ -137,23 +137,23 @@ _General-purpose machine learning and deep learning frameworks._
scikit-learn (π₯52 Β· β 56K) - scikit-learn: machine learning in Python. BSD-3 
-- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3K Β· π 25K Β· π₯ 910 Β· π¦ 620K Β· π 11K - 20% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3K Β· π 25K Β· π₯ 910 Β· π¦ 620K Β· π 11K - 20% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/scikit-learn/scikit-learn
```
-- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 43M / month Β· π¦ 30K Β· β±οΈ 21.09.2023):
+- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 44M / month Β· π¦ 30K Β· β±οΈ 23.10.2023):
```
pip install scikit-learn
```
-- [Conda](https://anaconda.org/conda-forge/scikit-learn) (π₯ 25M Β· β±οΈ 06.10.2023):
+- [Conda](https://anaconda.org/conda-forge/scikit-learn) (π₯ 25M Β· β±οΈ 25.10.2023):
```
conda install -c conda-forge scikit-learn
```
Keras (π₯46 Β· β 60K) - Deep Learning for humans. Apache-2
-- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.2K Β· π 19K Β· π¦ 19 Β· π 12K - 3% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.2K Β· π 19K Β· π¦ 21 Β· π 12K - 3% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/keras-team/keras
@@ -167,90 +167,90 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge keras
```
PySpark (π₯45 Β· β 37K) - Apache Spark Python API. Apache-2 
+jax (π₯46 Β· β 25K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
-- [GitHub](https://github.com/apache/spark) (π¨βπ» 3K Β· π 28K Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/google/jax) (π¨βπ» 590 Β· π 2.3K Β· π¦ 19K Β· π 4.9K - 31% open Β· β±οΈ 26.10.2023):
```
- git clone https://github.com/apache/spark
+ git clone https://github.com/google/jax
```
-- [PyPi](https://pypi.org/project/pyspark) (π₯ 26M / month Β· π¦ 1.2K Β· β±οΈ 26.09.2023):
+- [PyPi](https://pypi.org/project/jax) (π₯ 3.8M / month Β· π¦ 710 Β· β±οΈ 19.10.2023):
```
- pip install pyspark
+ pip install jax
```
-- [Conda](https://anaconda.org/conda-forge/pyspark) (π₯ 2.9M Β· β±οΈ 04.10.2023):
+- [Conda](https://anaconda.org/conda-forge/jaxlib) (π₯ 970K Β· β±οΈ 25.10.2023):
```
- conda install -c conda-forge pyspark
+ conda install -c conda-forge jaxlib
```
jax (π₯45 Β· β 25K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
+PySpark (π₯45 Β· β 37K) - Apache Spark Python API. Apache-2
-- [GitHub](https://github.com/google/jax) (π¨βπ» 590 Β· π 2.3K Β· π¦ 18K Β· π 4.9K - 31% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/apache/spark) (π¨βπ» 3K Β· π 28K Β· β±οΈ 26.10.2023):
```
- git clone https://github.com/google/jax
+ git clone https://github.com/apache/spark
```
-- [PyPi](https://pypi.org/project/jax) (π₯ 3.7M / month Β· π¦ 700 Β· β±οΈ 07.10.2023):
+- [PyPi](https://pypi.org/project/pyspark) (π₯ 26M / month Β· π¦ 1.2K Β· β±οΈ 26.09.2023):
```
- pip install jax
+ pip install pyspark
```
-- [Conda](https://anaconda.org/conda-forge/jaxlib) (π₯ 960K Β· β±οΈ 12.10.2023):
+- [Conda](https://anaconda.org/conda-forge/pyspark) (π₯ 2.9M Β· β±οΈ 04.10.2023):
```
- conda install -c conda-forge jaxlib
+ conda install -c conda-forge pyspark
```
pytorch-lightning (π₯45 Β· β 25K) - Deep learning framework to train, deploy, and ship AI.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/lightning) (π¨βπ» 910 Β· π 3K Β· π₯ 13K Β· π¦ 25K Β· π 6.6K - 10% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/Lightning-AI/lightning) (π¨βπ» 910 Β· π 3K Β· π₯ 13K Β· π¦ 25K Β· π 6.6K - 10% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/Lightning-AI/lightning
```
-- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 3.9M / month Β· π¦ 710 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 4M / month Β· π¦ 710 Β· β±οΈ 12.10.2023):
```
pip install pytorch-lightning
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 980K Β· β±οΈ 12.10.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 990K Β· β±οΈ 12.10.2023):
```
conda install -c conda-forge pytorch-lightning
```
PaddlePaddle (π₯45 Β· β 21K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 
-- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.1K Β· π 5.3K Β· π₯ 15K Β· π¦ 4.1K Β· π 18K - 11% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.1K Β· π 5.3K Β· π₯ 15K Β· π¦ 4.2K Β· π 18K - 10% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/PaddlePaddle/Paddle
```
-- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 170K / month Β· π¦ 76 Β· β±οΈ 27.07.2023):
+- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 180K / month Β· π¦ 88 Β· β±οΈ 25.10.2023):
```
pip install paddlepaddle
```
XGBoost (π₯44 Β· β 25K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
-- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 630 Β· π 8.6K Β· π₯ 7.3K Β· π¦ 69K Β· π 5K - 7% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 630 Β· π 8.7K Β· π₯ 7.4K Β· π¦ 70K Β· π 5K - 7% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/dmlc/xgboost
```
-- [PyPi](https://pypi.org/project/xgboost) (π₯ 11M / month Β· π¦ 1.7K Β· β±οΈ 12.09.2023):
+- [PyPi](https://pypi.org/project/xgboost) (π₯ 12M / month Β· π¦ 1.7K Β· β±οΈ 24.10.2023):
```
pip install xgboost
```
-- [Conda](https://anaconda.org/conda-forge/xgboost) (π₯ 4.3M Β· β±οΈ 12.10.2023):
+- [Conda](https://anaconda.org/conda-forge/xgboost) (π₯ 4.3M Β· β±οΈ 24.10.2023):
```
conda install -c conda-forge xgboost
```
StatsModels (π₯44 Β· β 8.9K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
+StatsModels (π₯44 Β· β 9K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
-- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 420 Β· π 2.8K Β· π₯ 29 Β· π¦ 100K Β· π 5.4K - 49% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 420 Β· π 2.8K Β· π₯ 29 Β· π¦ 110K Β· π 5.4K - 49% open Β· β±οΈ 17.10.2023):
```
git clone https://github.com/statsmodels/statsmodels
```
-- [PyPi](https://pypi.org/project/statsmodels) (π₯ 11M / month Β· π¦ 5.3K Β· β±οΈ 05.05.2023):
+- [PyPi](https://pypi.org/project/statsmodels) (π₯ 11M / month Β· π¦ 5.4K Β· β±οΈ 05.05.2023):
```
pip install statsmodels
```
@@ -261,68 +261,80 @@ _General-purpose machine learning and deep learning frameworks._
LightGBM (π₯43 Β· β 16K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
-- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 290 Β· π 3.8K Β· π₯ 200K Β· π¦ 26K Β· π 3.2K - 10% open Β· β±οΈ 10.10.2023):
+- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 290 Β· π 3.8K Β· π₯ 200K Β· π¦ 26K Β· π 3.2K - 9% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/microsoft/LightGBM
```
-- [PyPi](https://pypi.org/project/lightgbm) (π₯ 7M / month Β· π¦ 810 Β· β±οΈ 12.09.2023):
+- [PyPi](https://pypi.org/project/lightgbm) (π₯ 6.9M / month Β· π¦ 810 Β· β±οΈ 12.09.2023):
```
pip install lightgbm
```
-- [Conda](https://anaconda.org/conda-forge/lightgbm) (π₯ 2.1M Β· β±οΈ 06.10.2023):
+- [Conda](https://anaconda.org/conda-forge/lightgbm) (π₯ 2.1M Β· β±οΈ 25.10.2023):
```
conda install -c conda-forge lightgbm
```
Catboost (π₯41 Β· β 7.4K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
-
-- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.2K Β· π 1.1K Β· π₯ 190K Β· π¦ 11 Β· π 2.1K - 24% open Β· β±οΈ 19.10.2023):
-
- ```
- git clone https://github.com/catboost/catboost
- ```
-- [PyPi](https://pypi.org/project/catboost) (π₯ 2.1M / month Β· π¦ 340 Β· β±οΈ 19.09.2023):
- ```
- pip install catboost
- ```
-- [Conda](https://anaconda.org/conda-forge/catboost) (π₯ 1.4M Β· β±οΈ 19.09.2023):
- ```
- conda install -c conda-forge catboost
- ```
-Fastai (π₯40 Β· β 25K) - The fastai deep learning library. Apache-2
-- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 660 Β· π 7.5K Β· π¦ 15K Β· π 1.8K - 10% open Β· β±οΈ 15.10.2023):
+- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 660 Β· π 7.5K Β· π¦ 15K Β· π 1.8K - 10% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/fastai/fastai
```
-- [PyPi](https://pypi.org/project/fastai) (π₯ 330K / month Β· π¦ 340 Β· β±οΈ 15.10.2023):
+- [PyPi](https://pypi.org/project/fastai) (π₯ 360K / month Β· π¦ 340 Β· β±οΈ 15.10.2023):
```
pip install fastai
```
Jina (π₯40 Β· β 19K) - Build multimodal AI applications with cloud-native stack. Apache-2
-- [GitHub](https://github.com/jina-ai/jina) (π¨βπ» 180 Β· π 2.2K Β· π¦ 1.2K Β· π 1.9K - 0% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/jina-ai/jina) (π¨βπ» 180 Β· π 2.2K Β· π¦ 1.2K Β· π 1.9K - 0% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/jina-ai/jina
```
-- [PyPi](https://pypi.org/project/jina) (π₯ 82K / month Β· π¦ 15 Β· β±οΈ 06.10.2023):
+- [PyPi](https://pypi.org/project/jina) (π₯ 89K / month Β· π¦ 16 Β· β±οΈ 25.10.2023):
```
pip install jina
```
-- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 56K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 57K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge jina-core
```
-- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (π₯ 1.3M Β· β 8 Β· β±οΈ 18.10.2023):
+- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (π₯ 1.3M Β· β 8 Β· β±οΈ 25.10.2023):
```
docker pull jinaai/jina
```
Catboost (π₯39 Β· β 7.4K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
+
+- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.2K Β· π 1.1K Β· π₯ 190K Β· π¦ 11 Β· π 2.1K - 23% open Β· β±οΈ 26.10.2023):
+
+ ```
+ git clone https://github.com/catboost/catboost
+ ```
+- [PyPi](https://pypi.org/project/catboost) (π₯ 2.1M / month):
+ ```
+ pip install catboost
+ ```
+- [Conda](https://anaconda.org/conda-forge/catboost) (π₯ 1.4M Β· β±οΈ 19.09.2023):
+ ```
+ conda install -c conda-forge catboost
+ ```
+PyFlink (π₯38 Β· β 22K) - Apache Flink Python API. Apache-2
+
+- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.8K Β· π 12K Β· π¦ 21 Β· β±οΈ 26.10.2023):
+
+ ```
+ git clone https://github.com/apache/flink
+ ```
+- [PyPi](https://pypi.org/project/apache-flink) (π₯ 130K / month Β· π¦ 23 Β· β±οΈ 24.10.2023):
+ ```
+ pip install apache-flink
+ ```
+MXNet (π₯38 Β· β 21K Β· π€) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 
- [GitHub](https://github.com/apache/mxnet) (π¨βπ» 980 Β· π 6.9K Β· π₯ 26K Β· π¦ 6.8K Β· π 9.6K - 18% open Β· β±οΈ 26.01.2023):
@@ -346,7 +358,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/Theano/Theano
```
-- [PyPi](https://pypi.org/project/theano) (π₯ 380K / month Β· π¦ 2.8K Β· β±οΈ 27.07.2020):
+- [PyPi](https://pypi.org/project/theano) (π₯ 360K / month Β· π¦ 2.8K Β· β±οΈ 27.07.2020):
```
pip install theano
```
@@ -355,21 +367,9 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge theano
```
PyFlink (π₯37 Β· β 22K) - Apache Flink Python API. Apache-2
-
-- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.8K Β· π 12K Β· π¦ 19 Β· β±οΈ 19.10.2023):
-
- ```
- git clone https://github.com/apache/flink
- ```
-- [PyPi](https://pypi.org/project/apache-flink) (π₯ 140K / month Β· π¦ 22 Β· β±οΈ 27.09.2022):
- ```
- pip install apache-flink
- ```
-ivy (π₯37 Β· β 14K) - The Unified AI Framework. Apache-2
-- [GitHub](https://github.com/unifyai/ivy) (π¨βπ» 1.4K Β· π 6K Β· π 17K - 21% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/unifyai/ivy) (π¨βπ» 1.4K Β· π 6K Β· π 17K - 21% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/unifyai/ivy
@@ -381,12 +381,12 @@ _General-purpose machine learning and deep learning frameworks._
Flax (π₯37 Β· β 4.8K) - Flax is a neural network library for JAX that is designed for.. Apache-2 
-- [GitHub](https://github.com/google/flax) (π¨βπ» 200 Β· π 540 Β· π₯ 49 Β· π¦ 4.6K Β· π 830 - 21% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/google/flax) (π¨βπ» 210 Β· π 540 Β· π₯ 50 Β· π¦ 4.7K Β· π 830 - 21% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/google/flax
```
-- [PyPi](https://pypi.org/project/flax) (π₯ 2.2M / month Β· π¦ 170 Β· β±οΈ 13.09.2023):
+- [PyPi](https://pypi.org/project/flax) (π₯ 2.1M / month Β· π¦ 170 Β· β±οΈ 13.09.2023):
```
pip install flax
```
@@ -397,12 +397,12 @@ _General-purpose machine learning and deep learning frameworks._
Ignite (π₯36 Β· β 4.4K) - High-level library to help with training and evaluating neural.. BSD-3
-- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 300 Β· π 600 Β· π¦ 2.4K Β· π 1.3K - 12% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 310 Β· π 600 Β· π¦ 2.5K Β· π 1.3K - 11% open Β· β±οΈ 19.10.2023):
```
git clone https://github.com/pytorch/ignite
```
-- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 150K / month Β· π¦ 43 Β· β±οΈ 19.10.2023):
+- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 150K / month Β· π¦ 43 Β· β±οΈ 26.10.2023):
```
pip install pytorch-ignite
```
@@ -418,7 +418,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/explosion/thinc
```
-- [PyPi](https://pypi.org/project/thinc) (π₯ 6M / month Β· π¦ 640 Β· β±οΈ 22.09.2023):
+- [PyPi](https://pypi.org/project/thinc) (π₯ 6.2M / month Β· π¦ 640 Β· β±οΈ 22.09.2023):
```
pip install thinc
```
@@ -450,7 +450,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/arogozhnikov/einops
```
-- [PyPi](https://pypi.org/project/einops) (π₯ 4.3M / month Β· π¦ 680 Β· β±οΈ 01.10.2023):
+- [PyPi](https://pypi.org/project/einops) (π₯ 4.5M / month Β· π¦ 680 Β· β±οΈ 01.10.2023):
```
pip install einops
```
@@ -461,24 +461,24 @@ _General-purpose machine learning and deep learning frameworks._
Ludwig (π₯34 Β· β 10K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2
-- [GitHub](https://github.com/ludwig-ai/ludwig) (π¨βπ» 140 Β· π 1.1K Β· π¦ 200 Β· π 1.1K - 31% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/ludwig-ai/ludwig) (π¨βπ» 140 Β· π 1.1K Β· π¦ 210 Β· π 1.1K - 31% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/ludwig-ai/ludwig
```
-- [PyPi](https://pypi.org/project/ludwig) (π₯ 6.6K / month Β· π¦ 9 Β· β±οΈ 13.10.2023):
+- [PyPi](https://pypi.org/project/ludwig) (π₯ 5.8K / month Β· π¦ 9 Β· β±οΈ 13.10.2023):
```
pip install ludwig
```
Chainer (π₯34 Β· β 5.8K Β· π€) - A flexible framework of neural networks for deep learning. MIT
-- [GitHub](https://github.com/chainer/chainer) (π¨βπ» 330 Β· π 1.3K Β· π¦ 3.1K Β· π 2K - 0% open Β· β±οΈ 17.10.2022):
+- [GitHub](https://github.com/chainer/chainer) (π¨βπ» 330 Β· π 1.4K Β· π¦ 3.1K Β· π 2K - 0% open Β· β±οΈ 17.10.2022):
```
git clone https://github.com/chainer/chainer
```
-- [PyPi](https://pypi.org/project/chainer) (π₯ 16K / month):
+- [PyPi](https://pypi.org/project/chainer) (π₯ 18K / month Β· π¦ 400 Β· β±οΈ 05.01.2022):
```
pip install chainer
```
@@ -494,7 +494,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/tensorpack/tensorpack
```
-- [PyPi](https://pypi.org/project/tensorpack) (π₯ 15K / month Β· π¦ 47 Β· β±οΈ 04.09.2018):
+- [PyPi](https://pypi.org/project/tensorpack) (π₯ 14K / month Β· π¦ 47 Β· β±οΈ 04.09.2018):
```
pip install tensorpack
```
@@ -505,12 +505,12 @@ _General-purpose machine learning and deep learning frameworks._
skorch (π₯32 Β· β 5.4K) - A scikit-learn compatible neural network library that wraps.. BSD-3
-- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 60 Β· π 360 Β· π¦ 970 Β· π 490 - 9% open Β· β±οΈ 07.09.2023):
+- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 60 Β· π 360 Β· π¦ 970 Β· π 500 - 9% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/skorch-dev/skorch
```
-- [PyPi](https://pypi.org/project/skorch) (π₯ 67K / month Β· π¦ 48 Β· β±οΈ 04.09.2023):
+- [PyPi](https://pypi.org/project/skorch) (π₯ 66K / month Β· π¦ 48 Β· β±οΈ 04.09.2023):
```
pip install skorch
```
@@ -521,7 +521,7 @@ _General-purpose machine learning and deep learning frameworks._
mlpack (π₯32 Β· β 4.6K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
-- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 310 Β· π 1.5K Β· π 1.6K - 1% open Β· β±οΈ 14.10.2023):
+- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 310 Β· π 1.5K Β· π 1.6K - 1% open Β· β±οΈ 22.10.2023):
```
git clone https://github.com/mlpack/mlpack
@@ -537,12 +537,12 @@ _General-purpose machine learning and deep learning frameworks._
Haiku (π₯32 Β· β 2.6K) - JAX-based neural network library. Apache-2
-- [GitHub](https://github.com/google-deepmind/dm-haiku) (π¨βπ» 79 Β· π 220 Β· π¦ 1.5K Β· π 280 - 38% open Β· β±οΈ 15.09.2023):
+- [GitHub](https://github.com/google-deepmind/dm-haiku) (π¨βπ» 79 Β· π 220 Β· π¦ 1.5K Β· π 280 - 38% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/deepmind/dm-haiku
```
-- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 250K / month Β· π¦ 67 Β· β±οΈ 14.07.2023):
+- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 220K / month Β· π¦ 67 Β· β±οΈ 14.07.2023):
```
pip install dm-haiku
```
@@ -553,12 +553,12 @@ _General-purpose machine learning and deep learning frameworks._
EvaDB (π₯32 Β· β 2.4K) - Database system for AI-powered apps. Apache-2
-- [GitHub](https://github.com/georgia-tech-db/evadb) (π¨βπ» 66 Β· π 210 Β· π₯ 410K Β· π¦ 71 Β· π 270 - 23% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/georgia-tech-db/evadb) (π¨βπ» 66 Β· π 210 Β· π₯ 410K Β· π¦ 78 Β· π 270 - 24% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/georgia-tech-db/eva
```
-- [PyPi](https://pypi.org/project/evadb) (π₯ 1.9K / month Β· β±οΈ 18.10.2023):
+- [PyPi](https://pypi.org/project/evadb) (π₯ 2.3K / month Β· β±οΈ 18.10.2023):
```
pip install evadb
```
@@ -570,7 +570,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/deepmind/sonnet
```
-- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 15K / month Β· π¦ 52 Β· β±οΈ 27.03.2020):
+- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 14K / month Β· π¦ 52 Β· β±οΈ 27.03.2020):
```
pip install dm-sonnet
```
@@ -579,26 +579,14 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge sonnet
```
tensorflow-upstream (π₯31 Β· β 660) - TensorFlow ROCm port. Apache-2
-
-- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (π¨βπ» 4.5K Β· π 79 Β· π₯ 21 Β· π 370 - 25% open Β· β±οΈ 13.10.2023):
-
- ```
- git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
- ```
-- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 3.6K / month Β· π¦ 5 Β· β±οΈ 04.10.2023):
- ```
- pip install tensorflow-rocm
- ```
-Determined (π₯30 Β· β 2.5K) - Determined is an open-source machine learning platform.. Apache-2
-- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 100 Β· π 310 Β· π₯ 7.4K Β· π 430 - 29% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 110 Β· π 320 Β· π₯ 7.5K Β· π 430 - 29% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/determined-ai/determined
```
-- [PyPi](https://pypi.org/project/determined) (π₯ 16K / month Β· π¦ 4 Β· β±οΈ 18.10.2023):
+- [PyPi](https://pypi.org/project/determined) (π₯ 16K / month Β· π¦ 4 Β· β±οΈ 26.10.2023):
```
pip install determined
```
@@ -610,31 +598,43 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/amaiya/ktrain
```
-- [PyPi](https://pypi.org/project/ktrain) (π₯ 20K / month Β· π¦ 3 Β· β±οΈ 05.09.2023):
+- [PyPi](https://pypi.org/project/ktrain) (π₯ 19K / month Β· π¦ 3 Β· β±οΈ 05.09.2023):
```
pip install ktrain
```
Neural Network Libraries (π₯29 Β· β 2.6K) - Neural Network Libraries. Apache-2
+tensorflow-upstream (π₯30 Β· β 660) - TensorFlow ROCm port. Apache-2
+
+- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (π¨βπ» 4.5K Β· π 79 Β· π₯ 21 Β· π 350 - 21% open Β· β±οΈ 20.10.2023):
+
+ ```
+ git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
+ ```
+- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 3.9K / month):
+ ```
+ pip install tensorflow-rocm
+ ```
+Neural Network Libraries (π₯29 Β· β 2.7K) - Neural Network Libraries. Apache-2
-- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 73 Β· π 340 Β· π₯ 910 Β· π 93 - 36% open Β· β±οΈ 10.10.2023):
+- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 73 Β· π 340 Β· π₯ 910 Β· π 93 - 36% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/sony/nnabla
```
-- [PyPi](https://pypi.org/project/nnabla) (π₯ 3.7K / month Β· π¦ 54 Β· β±οΈ 01.05.2022):
+- [PyPi](https://pypi.org/project/nnabla) (π₯ 4K / month Β· π¦ 54 Β· β±οΈ 01.05.2022):
```
pip install nnabla
```
Geomstats (π₯29 Β· β 1K) - Computations and statistics on manifolds with geometric structures. MIT
-- [GitHub](https://github.com/geomstats/geomstats) (π¨βπ» 83 Β· π 220 Β· π¦ 83 Β· π 540 - 38% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/geomstats/geomstats) (π¨βπ» 84 Β· π 220 Β· π¦ 83 Β· π 540 - 38% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/geomstats/geomstats
```
-- [PyPi](https://pypi.org/project/geomstats) (π₯ 1.4K / month Β· π¦ 3 Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/geomstats) (π₯ 1.6K / month Β· π¦ 3 Β· β±οΈ 30.08.2023):
```
pip install geomstats
```
@@ -643,14 +643,26 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge geomstats
```
Towhee (π₯27 Β· β 2.8K) - Towhee is a framework that is dedicated to making neural data.. Apache-2
+
+- [GitHub](https://github.com/towhee-io/towhee) (π¨βπ» 33 Β· π 240 Β· π₯ 2.6K Β· π 640 - 0% open Β· β±οΈ 24.10.2023):
+
+ ```
+ git clone https://github.com/towhee-io/towhee
+ ```
+- [PyPi](https://pypi.org/project/towhee) (π₯ 8.1K / month):
+ ```
+ pip install towhee
+ ```
+Neural Tangents (π₯27 Β· β 2.1K) - Fast and Easy Infinite Neural Networks in Python. Apache-2
-- [GitHub](https://github.com/google/neural-tangents) (π¨βπ» 27 Β· π 230 Β· π₯ 330 Β· π¦ 82 Β· π 150 - 40% open Β· β±οΈ 30.09.2023):
+- [GitHub](https://github.com/google/neural-tangents) (π¨βπ» 27 Β· π 230 Β· π₯ 330 Β· π¦ 83 Β· π 150 - 40% open Β· β±οΈ 30.09.2023):
```
git clone https://github.com/google/neural-tangents
```
-- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 2.1K / month Β· π¦ 1 Β· β±οΈ 24.08.2023):
+- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 2K / month Β· π¦ 1 Β· β±οΈ 24.08.2023):
```
pip install neural-tangents
```
@@ -662,75 +674,63 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/pyRiemann/pyRiemann
```
-- [PyPi](https://pypi.org/project/pyriemann) (π₯ 26K / month Β· π¦ 17 Β· β±οΈ 17.07.2022):
+- [PyPi](https://pypi.org/project/pyriemann) (π₯ 28K / month Β· π¦ 17 Β· β±οΈ 17.07.2022):
```
pip install pyriemann
```
-- [Conda](https://anaconda.org/conda-forge/pyriemann) (π₯ 4.3K Β· β±οΈ 20.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pyriemann) (π₯ 4.4K Β· β±οΈ 20.06.2023):
```
conda install -c conda-forge pyriemann
```
Towhee (π₯26 Β· β 2.8K) - Towhee is a framework that is dedicated to making neural data.. Apache-2
+NeuPy (π₯24 Β· β 740 Β· π€) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT
-- [GitHub](https://github.com/towhee-io/towhee) (π¨βπ» 33 Β· π 240 Β· π₯ 2.6K Β· π 650 - 1% open Β· β±οΈ 15.09.2023):
+- [GitHub](https://github.com/itdxer/neupy) (π¨βπ» 8 Β· π 160 Β· π¦ 160 Β· π 270 - 12% open Β· β±οΈ 03.01.2023):
```
- git clone https://github.com/towhee-io/towhee
+ git clone https://github.com/itdxer/neupy
```
-- [PyPi](https://pypi.org/project/towhee) (π₯ 7.1K / month Β· β±οΈ 14.09.2023):
+- [PyPi](https://pypi.org/project/neupy) (π₯ 4.4K / month Β· π¦ 13 Β· β±οΈ 04.04.2019):
```
- pip install towhee
+ pip install neupy
```
fklearn (π₯24 Β· β 1.5K) - fklearn: Functional Machine Learning. Apache-2
+fklearn (π₯23 Β· β 1.5K) - fklearn: Functional Machine Learning. Apache-2
-- [GitHub](https://github.com/nubank/fklearn) (π¨βπ» 53 Β· π 160 Β· π¦ 13 Β· π 64 - 60% open Β· β±οΈ 15.10.2023):
+- [GitHub](https://github.com/nubank/fklearn) (π¨βπ» 53 Β· π 160 Β· π¦ 13 Β· π 50 - 50% open Β· β±οΈ 15.10.2023):
```
git clone https://github.com/nubank/fklearn
```
-- [PyPi](https://pypi.org/project/fklearn) (π₯ 2.4K / month Β· β±οΈ 16.08.2023):
+- [PyPi](https://pypi.org/project/fklearn) (π₯ 1.7K / month):
```
pip install fklearn
```
NeuPy (π₯24 Β· β 740 Β· π€) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT
+Objax (π₯23 Β· β 740) - Objax is a machine learning framework that provides an Object.. Apache-2
-- [GitHub](https://github.com/itdxer/neupy) (π¨βπ» 8 Β· π 160 Β· π¦ 160 Β· π 270 - 12% open Β· β±οΈ 03.01.2023):
+- [GitHub](https://github.com/google/objax) (π¨βπ» 26 Β· π 74 Β· π¦ 41 Β· π 110 - 44% open Β· β±οΈ 12.06.2023):
```
- git clone https://github.com/itdxer/neupy
+ git clone https://github.com/google/objax
```
-- [PyPi](https://pypi.org/project/neupy) (π₯ 5.5K / month Β· π¦ 13 Β· β±οΈ 04.04.2019):
+- [PyPi](https://pypi.org/project/objax) (π₯ 440 / month Β· π¦ 5 Β· β±οΈ 31.01.2022):
```
- pip install neupy
+ pip install objax
```
NeoML (π₯23 Β· β 740) - Machine learning framework for both deep learning and traditional.. Apache-2
-- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 34 Β· π 120 Β· π 83 - 39% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 34 Β· π 120 Β· π 83 - 39% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/neoml-lib/neoml
```
-- [PyPi](https://pypi.org/project/neoml) (π₯ 600 / month Β· β±οΈ 19.09.2023):
+- [PyPi](https://pypi.org/project/neoml) (π₯ 320 / month Β· β±οΈ 19.09.2023):
```
pip install neoml
```
Objax (π₯23 Β· β 740) - Objax is a machine learning framework that provides an Object.. Apache-2
-
-- [GitHub](https://github.com/google/objax) (π¨βπ» 26 Β· π 74 Β· π¦ 41 Β· π 110 - 44% open Β· β±οΈ 12.06.2023):
-
- ```
- git clone https://github.com/google/objax
- ```
-- [PyPi](https://pypi.org/project/objax) (π₯ 520 / month Β· π¦ 5 Β· β±οΈ 31.01.2022):
- ```
- pip install objax
- ```
-ThunderSVM (π₯20 Β· β 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
- [GitHub](https://github.com/Xtra-Computing/thundersvm) (π¨βπ» 35 Β· π 210 Β· π₯ 2.7K Β· π 220 - 32% open Β· β±οΈ 15.09.2023):
@@ -738,7 +738,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/Xtra-Computing/thundersvm
```
-- [PyPi](https://pypi.org/project/thundersvm) (π₯ 330 / month Β· β±οΈ 13.03.2020):
+- [PyPi](https://pypi.org/project/thundersvm) (π₯ 350 / month Β· β±οΈ 13.03.2020):
```
pip install thundersvm
```
@@ -750,7 +750,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/serengil/chefboost
```
-- [PyPi](https://pypi.org/project/chefboost) (π₯ 420 / month Β· β±οΈ 16.02.2022):
+- [PyPi](https://pypi.org/project/chefboost) (π₯ 380 / month Β· β±οΈ 16.02.2022):
```
pip install chefboost
```
@@ -762,7 +762,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/Xtra-Computing/thundergbm
```
-- [PyPi](https://pypi.org/project/thundergbm) (π₯ 160 / month Β· β±οΈ 19.09.2022):
+- [PyPi](https://pypi.org/project/thundergbm) (π₯ 180 / month Β· β±οΈ 19.09.2022):
```
pip install thundergbm
```
@@ -770,19 +770,19 @@ _General-purpose machine learning and deep learning frameworks._
Show 15 hidden projects...
- dlib (π₯40 Β· β 12K) - A toolkit for making real world machine learning and data analysis.. βοΈBSL-1.0
-- MindsDB (π₯33 Β· β 18K) - MindsDB connects AI models to datasources. βοΈGPL-3.0 βοΈGPL-3.0 MIT BSD-3
- dyNET (π₯32 Β· β 3.4K Β· π) - DyNet: The Dynamic Neural Network Toolkit. Apache-2
-- TFlearn (π₯31 Β· β 9.6K Β· π) - Deep learning library featuring a higher-level API for.. βUnlicensed MIT
- NuPIC (π₯28 Β· β 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. βοΈAGPL-3.0
-- Lasagne (π₯28 Β· β 3.8K Β· π) - Lightweight library to build and train neural networks in Theano. MIT
- xLearn (π₯26 Β· β 3.1K Β· π) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2
- SHOGUN (π₯26 Β· β 3K Β· π) - Unified and efficient Machine Learning. BSD-3
+- Lasagne (π₯25 Β· β 3.8K Β· π) - Lightweight library to build and train neural networks in.. βUnlicensed
- mace (π₯22 Β· β 4.8K Β· π) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
- neon (π₯22 Β· β 3.9K Β· π) - Intel Nervana reference deep learning framework committed to best.. Apache-2
- Torchbearer (π₯21 Β· β 630 Β· π) - torchbearer: A model fitting library for PyTorch. MIT MIT MIT MIT
@@ -795,12 +795,12 @@ _General-purpose and task-specific data visualization libraries._
Matplotlib (π₯50 Β· β 18K) - matplotlib: plotting with Python. Python-2.0
-- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.6K Β· π 7K Β· π¦ 970K Β· π 10K - 14% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.6K Β· π 7K Β· π¦ 980K Β· π 10K - 14% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/matplotlib/matplotlib
```
-- [PyPi](https://pypi.org/project/matplotlib) (π₯ 41M / month Β· π¦ 62K Β· β±οΈ 15.09.2023):
+- [PyPi](https://pypi.org/project/matplotlib) (π₯ 42M / month Β· π¦ 62K Β· β±οΈ 15.09.2023):
```
pip install matplotlib
```
@@ -809,66 +809,66 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge matplotlib
```
Bokeh (π₯45 Β· β 18K) - Interactive Data Visualization in the browser, from Python. BSD-3
+Plotly (π₯44 Β· β 14K) - The interactive graphing library for Python This project now includes.. MIT
-- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 670 Β· π 4.1K Β· π¦ 78K Β· π 7.5K - 10% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 250 Β· π 2.4K Β· π¦ 210K Β· π 2.8K - 50% open Β· β±οΈ 25.10.2023):
```
- git clone https://github.com/bokeh/bokeh
+ git clone https://github.com/plotly/plotly.py
```
-- [PyPi](https://pypi.org/project/bokeh) (π₯ 3.5M / month Β· π¦ 3.8K Β· β±οΈ 10.10.2023):
+- [PyPi](https://pypi.org/project/plotly) (π₯ 11M / month Β· π¦ 5.3K Β· β±οΈ 25.10.2023):
```
- pip install bokeh
+ pip install plotly
```
-- [Conda](https://anaconda.org/conda-forge/bokeh) (π₯ 13M Β· β±οΈ 11.10.2023):
+- [Conda](https://anaconda.org/conda-forge/plotly) (π₯ 5M Β· β±οΈ 25.10.2023):
```
- conda install -c conda-forge bokeh
+ conda install -c conda-forge plotly
+ ```
+- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 43K / month Β· π¦ 6 Β· β±οΈ 12.01.2021):
+ ```
+ npm install plotlywidget
```
Plotly (π₯44 Β· β 14K) - The interactive graphing library for Python This project now includes.. MIT
+Bokeh (π₯43 Β· β 18K) - Interactive Data Visualization in the browser, from Python. BSD-3
-- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 250 Β· π 2.4K Β· π¦ 210K Β· π 2.7K - 50% open Β· β±οΈ 12.10.2023):
+- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 670 Β· π 4K Β· π¦ 78K Β· π 7.5K - 9% open Β· β±οΈ 25.10.2023):
```
- git clone https://github.com/plotly/plotly.py
- ```
-- [PyPi](https://pypi.org/project/plotly) (π₯ 11M / month):
- ```
- pip install plotly
+ git clone https://github.com/bokeh/bokeh
```
-- [Conda](https://anaconda.org/conda-forge/plotly) (π₯ 4.9M Β· β±οΈ 15.09.2023):
+- [PyPi](https://pypi.org/project/bokeh) (π₯ 3.4M / month):
```
- conda install -c conda-forge plotly
+ pip install bokeh
```
-- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 39K / month):
+- [Conda](https://anaconda.org/conda-forge/bokeh) (π₯ 13M Β· β±οΈ 11.10.2023):
```
- npm install plotlywidget
+ conda install -c conda-forge bokeh
```
Seaborn (π₯43 Β· β 11K) - Statistical data visualization in Python. BSD-3
-- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 200 Β· π 1.8K Β· π₯ 280 Β· π¦ 310K Β· π 2.4K - 4% open Β· β±οΈ 01.10.2023):
+- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 200 Β· π 1.8K Β· π₯ 280 Β· π¦ 320K Β· π 2.4K - 4% open Β· β±οΈ 22.10.2023):
```
git clone https://github.com/mwaskom/seaborn
```
-- [PyPi](https://pypi.org/project/seaborn) (π₯ 11M / month Β· π¦ 11K Β· β±οΈ 29.09.2023):
+- [PyPi](https://pypi.org/project/seaborn) (π₯ 12M / month Β· π¦ 11K Β· β±οΈ 29.09.2023):
```
pip install seaborn
```
-- [Conda](https://anaconda.org/conda-forge/seaborn) (π₯ 7.6M Β· β±οΈ 02.10.2023):
+- [Conda](https://anaconda.org/conda-forge/seaborn) (π₯ 7.7M Β· β±οΈ 02.10.2023):
```
conda install -c conda-forge seaborn
```
Altair (π₯42 Β· β 8.5K) - Declarative statistical visualization library for Python. BSD-3
-- [GitHub](https://github.com/altair-viz/altair) (π¨βπ» 160 Β· π 760 Β· π₯ 89 Β· π¦ 80K Β· π 1.9K - 9% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/altair-viz/altair) (π¨βπ» 160 Β· π 760 Β· π₯ 89 Β· π¦ 82K Β· π 1.9K - 9% open Β· β±οΈ 20.10.2023):
```
git clone https://github.com/altair-viz/altair
```
-- [PyPi](https://pypi.org/project/altair) (π₯ 15M / month Β· π¦ 610 Β· β±οΈ 03.10.2023):
+- [PyPi](https://pypi.org/project/altair) (π₯ 14M / month Β· π¦ 620 Β· β±οΈ 03.10.2023):
```
pip install altair
```
@@ -877,14 +877,14 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge altair
```
dash (π₯40 Β· β 19K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
+dash (π₯40 Β· β 20K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
-- [GitHub](https://github.com/plotly/dash) (π¨βπ» 140 Β· π 1.9K Β· π¦ 53K Β· π 1.6K - 47% open Β· β±οΈ 11.10.2023):
+- [GitHub](https://github.com/plotly/dash) (π¨βπ» 140 Β· π 1.9K Β· π¦ 53K Β· π 1.6K - 47% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/plotly/dash
```
-- [PyPi](https://pypi.org/project/dash) (π₯ 2.2M / month Β· π¦ 1.4K Β· β±οΈ 11.10.2023):
+- [PyPi](https://pypi.org/project/dash) (π₯ 2.3M / month Β· π¦ 1.4K Β· β±οΈ 11.10.2023):
```
pip install dash
```
@@ -895,16 +895,16 @@ _General-purpose and task-specific data visualization libraries._
pandas-profiling (π₯37 Β· β 11K) - 1 Line of code data quality profiling & exploratory.. MIT 
-- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 120 Β· π 1.5K Β· π¦ 1.6K Β· π 730 - 25% open Β· β±οΈ 10.10.2023):
+- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 120 Β· π 1.5K Β· π¦ 1.6K Β· π 730 - 25% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/ydataai/pandas-profiling
```
-- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 710K / month):
+- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 700K / month):
```
pip install pandas-profiling
```
-- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (π₯ 400K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (π₯ 410K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge pandas-profiling
```
@@ -916,167 +916,155 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/pyecharts/pyecharts
```
-- [PyPi](https://pypi.org/project/pyecharts) (π₯ 110K / month Β· π¦ 250 Β· β±οΈ 21.08.2023):
+- [PyPi](https://pypi.org/project/pyecharts) (π₯ 120K / month):
```
pip install pyecharts
```
plotnine (π₯35 Β· β 3.6K) - A Grammar of Graphics for Python. MIT
+VisPy (π₯36 Β· β 3.1K) - High-performance interactive 2D/3D data visualization library. BSD-3
-- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 100 Β· π 200 Β· π¦ 6K Β· π 590 - 13% open Β· β±οΈ 08.08.2023):
+- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 190 Β· π 610 Β· π¦ 1.3K Β· π 1.4K - 22% open Β· β±οΈ 23.10.2023):
```
- git clone https://github.com/has2k1/plotnine
+ git clone https://github.com/vispy/vispy
```
-- [PyPi](https://pypi.org/project/plotnine) (π₯ 1.3M / month Β· π¦ 250 Β· β±οΈ 01.09.2023):
+- [PyPi](https://pypi.org/project/vispy) (π₯ 75K / month Β· π¦ 130 Β· β±οΈ 03.10.2023):
```
- pip install plotnine
+ pip install vispy
```
-- [Conda](https://anaconda.org/conda-forge/plotnine) (π₯ 320K Β· β±οΈ 01.09.2023):
+- [Conda](https://anaconda.org/conda-forge/vispy) (π₯ 440K Β· β±οΈ 04.10.2023):
```
- conda install -c conda-forge plotnine
+ conda install -c conda-forge vispy
+ ```
+- [npm](https://www.npmjs.com/package/vispy) (π₯ 28 / month Β· π¦ 1 Β· β±οΈ 15.03.2020):
+ ```
+ npm install vispy
```
PyQtGraph (π₯35 Β· β 3.4K Β· π) - Fast data visualization and GUI tools for scientific / engineering.. MIT
+Graphviz (π₯36 Β· β 1.5K) - Simple Python interface for Graphviz. MIT
-- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 260 Β· π 1K Β· π¦ 8.1K Β· π 1.2K - 29% open Β· β±οΈ 14.10.2023):
+- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 21 Β· π 200 Β· π¦ 55K Β· π 170 - 5% open Β· β±οΈ 25.10.2023):
```
- git clone https://github.com/pyqtgraph/pyqtgraph
+ git clone https://github.com/xflr6/graphviz
```
-- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 160K / month Β· π¦ 940 Β· β±οΈ 29.09.2022):
+- [PyPi](https://pypi.org/project/graphviz) (π₯ 7.6M / month Β· π¦ 3.4K Β· β±οΈ 23.07.2022):
```
- pip install pyqtgraph
+ pip install graphviz
```
-- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (π₯ 480K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/anaconda/python-graphviz) (π₯ 41K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge pyqtgraph
+ conda install -c anaconda python-graphviz
```
VisPy (π₯35 Β· β 3.1K) - High-performance interactive 2D/3D data visualization library. BSD-3
+plotnine (π₯35 Β· β 3.6K) - A Grammar of Graphics for Python. MIT
-- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 190 Β· π 610 Β· π¦ 1.3K Β· π 1.4K - 22% open Β· β±οΈ 09.10.2023):
+- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 100 Β· π 200 Β· π¦ 6K Β· π 580 - 12% open Β· β±οΈ 08.08.2023):
```
- git clone https://github.com/vispy/vispy
- ```
-- [PyPi](https://pypi.org/project/vispy) (π₯ 73K / month Β· π¦ 130 Β· β±οΈ 03.10.2023):
- ```
- pip install vispy
+ git clone https://github.com/has2k1/plotnine
```
-- [Conda](https://anaconda.org/conda-forge/vispy) (π₯ 440K Β· β±οΈ 04.10.2023):
+- [PyPi](https://pypi.org/project/plotnine) (π₯ 1.5M / month):
```
- conda install -c conda-forge vispy
+ pip install plotnine
```
-- [npm](https://www.npmjs.com/package/vispy) (π₯ 16 / month Β· π¦ 1 Β· β±οΈ 15.03.2020):
+- [Conda](https://anaconda.org/conda-forge/plotnine) (π₯ 320K Β· β±οΈ 01.09.2023):
```
- npm install vispy
+ conda install -c conda-forge plotnine
```
PyVista (π₯35 Β· β 2K) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT
+HoloViews (π₯35 Β· β 2.5K Β· π) - With Holoviews, your data visualizes itself. BSD-3
-- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 150 Β· π 380 Β· π₯ 780 Β· π¦ 2.3K Β· π 1.3K - 27% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 140 Β· π 380 Β· π 3.1K - 32% open Β· β±οΈ 25.10.2023):
```
- git clone https://github.com/pyvista/pyvista
+ git clone https://github.com/holoviz/holoviews
```
-- [PyPi](https://pypi.org/project/pyvista) (π₯ 210K / month Β· π¦ 220 Β· β±οΈ 07.10.2023):
+- [PyPi](https://pypi.org/project/holoviews) (π₯ 320K / month Β· π¦ 260 Β· β±οΈ 18.10.2023):
```
- pip install pyvista
+ pip install holoviews
```
-- [Conda](https://anaconda.org/conda-forge/pyvista) (π₯ 410K Β· β±οΈ 07.10.2023):
+- [Conda](https://anaconda.org/conda-forge/holoviews) (π₯ 1.4M Β· β±οΈ 19.10.2023):
```
- conda install -c conda-forge pyvista
+ conda install -c conda-forge holoviews
+ ```
+- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 1.1K / month Β· π¦ 2 Β· β±οΈ 16.08.2023):
+ ```
+ npm install @pyviz/jupyterlab_pyviz
```
FiftyOne (π₯34 Β· β 5.3K) - Visualize, create, and debug image and video datasets.. Apache-2
-- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 96 Β· π 420 Β· π¦ 410 Β· π 1.4K - 34% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 96 Β· π 420 Β· π¦ 410 Β· π 1.5K - 34% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/voxel51/fiftyone
```
-- [PyPi](https://pypi.org/project/fiftyone) (π₯ 42K / month Β· π¦ 9 Β· β±οΈ 06.10.2023):
+- [PyPi](https://pypi.org/project/fiftyone) (π₯ 41K / month Β· π¦ 9 Β· β±οΈ 20.10.2023):
```
pip install fiftyone
```
Graphviz (π₯34 Β· β 1.5K) - Simple Python interface for Graphviz. MIT
+PyVista (π₯34 Β· β 2K) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT
-- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 20 Β· π 200 Β· π¦ 55K Β· π 160 - 5% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 150 Β· π 380 Β· π₯ 780 Β· π¦ 2.3K Β· π 1.3K - 28% open Β· β±οΈ 25.10.2023):
```
- git clone https://github.com/xflr6/graphviz
+ git clone https://github.com/pyvista/pyvista
```
-- [PyPi](https://pypi.org/project/graphviz) (π₯ 7.8M / month Β· π¦ 3.4K Β· β±οΈ 23.07.2022):
+- [PyPi](https://pypi.org/project/pyvista) (π₯ 200K / month Β· π¦ 220 Β· β±οΈ 07.10.2023):
```
- pip install graphviz
+ pip install pyvista
```
-- [Conda](https://anaconda.org/anaconda/python-graphviz) (π₯ 41K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pyvista) (π₯ 410K Β· β±οΈ 07.10.2023):
```
- conda install -c anaconda python-graphviz
+ conda install -c conda-forge pyvista
```
datashader (π₯33 Β· β 3.1K) - Quickly and accurately render even the largest data. BSD-3
-- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 54 Β· π 350 Β· π¦ 3K Β· π 560 - 21% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 54 Β· π 350 Β· π¦ 3.1K Β· π 560 - 21% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/holoviz/datashader
```
-- [PyPi](https://pypi.org/project/datashader) (π₯ 240K / month):
+- [PyPi](https://pypi.org/project/datashader) (π₯ 290K / month):
```
pip install datashader
```
-- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 690K Β· β±οΈ 17.08.2023):
+- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 700K Β· β±οΈ 17.08.2023):
```
conda install -c conda-forge datashader
```
hvPlot (π₯32 Β· β 810) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3
-
-- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 43 Β· π 88 Β· π¦ 3.8K Β· π 670 - 42% open Β· β±οΈ 16.10.2023):
-
- ```
- git clone https://github.com/holoviz/hvplot
- ```
-- [PyPi](https://pypi.org/project/hvplot) (π₯ 120K / month Β· π¦ 93 Β· β±οΈ 16.10.2023):
- ```
- pip install hvplot
- ```
-- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 480K Β· β±οΈ 16.10.2023):
- ```
- conda install -c conda-forge hvplot
- ```
-Perspective (π₯31 Β· β 6.8K) - A data visualization and analytics component, especially.. Apache-2
-- [GitHub](https://github.com/finos/perspective) (π¨βπ» 92 Β· π 840 Β· π₯ 1.4K Β· π¦ 100 Β· π 670 - 14% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/finos/perspective) (π¨βπ» 92 Β· π 840 Β· π₯ 1.5K Β· π¦ 100 Β· π 670 - 14% open Β· β±οΈ 20.10.2023):
```
git clone https://github.com/finos/perspective
```
-- [PyPi](https://pypi.org/project/perspective-python) (π₯ 7K / month):
+- [PyPi](https://pypi.org/project/perspective-python) (π₯ 8.6K / month Β· π¦ 13 Β· β±οΈ 21.10.2023):
```
pip install perspective-python
```
-- [Conda](https://anaconda.org/conda-forge/perspective) (π₯ 460K Β· β±οΈ 09.10.2023):
+- [Conda](https://anaconda.org/conda-forge/perspective) (π₯ 470K Β· β±οΈ 21.10.2023):
```
conda install -c conda-forge perspective
```
-- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 2.4K / month Β· π¦ 3 Β· β±οΈ 08.10.2023):
+- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 2.4K / month Β· π¦ 3 Β· β±οΈ 21.10.2023):
```
npm install @finos/perspective-jupyterlab
```
D-Tale (π₯31 Β· β 4.3K) - Visualizer for pandas data structures. βοΈLGPL-2.1
-- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 350 Β· π¦ 890 Β· π 540 - 9% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 360 Β· π¦ 900 Β· π 550 - 9% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/man-group/dtale
```
-- [PyPi](https://pypi.org/project/dtale) (π₯ 110K / month Β· π¦ 21 Β· β±οΈ 02.10.2023):
+- [PyPi](https://pypi.org/project/dtale) (π₯ 100K / month):
```
pip install dtale
```
@@ -1085,41 +1073,25 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge dtale
```
HoloViews (π₯31 Β· β 2.5K) - With Holoviews, your data visualizes itself. BSD-3
+hvPlot (π₯31 Β· β 820) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3
-- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 140 Β· π 370 Β· π 3.1K - 32% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 43 Β· π 86 Β· π¦ 3.8K Β· π 670 - 42% open Β· β±οΈ 16.10.2023):
```
- git clone https://github.com/holoviz/holoviews
- ```
-- [PyPi](https://pypi.org/project/holoviews) (π₯ 310K / month):
- ```
- pip install holoviews
- ```
-- [Conda](https://anaconda.org/conda-forge/holoviews) (π₯ 1.4M Β· β±οΈ 19.10.2023):
- ```
- conda install -c conda-forge holoviews
- ```
-- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 1.1K / month):
+ git clone https://github.com/holoviz/hvplot
```
- npm install @pyviz/jupyterlab_pyviz
+- [PyPi](https://pypi.org/project/hvplot) (π₯ 120K / month):
```
-lets-plot (π₯31 Β· β 1.2K) - Multiplatform plotting library based on Grammar of Graphics. MIT
-
-- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 20 Β· π 48 Β· π₯ 540 Β· π¦ 48 Β· π 440 - 26% open Β· β±οΈ 19.10.2023):
-
- ```
- git clone https://github.com/JetBrains/lets-plot
+ pip install hvplot
```
-- [PyPi](https://pypi.org/project/lets-plot) (π₯ 29K / month Β· π¦ 1 Β· β±οΈ 13.09.2023):
+- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 490K Β· β±οΈ 16.10.2023):
```
- pip install lets-plot
+ conda install -c conda-forge hvplot
```
wordcloud (π₯30 Β· β 9.7K) - A little word cloud generator in Python. MIT
-- [GitHub](https://github.com/amueller/word_cloud) (π¨βπ» 69 Β· π 2.3K Β· π¦ 19 Β· π 500 - 18% open Β· β±οΈ 04.10.2023):
+- [GitHub](https://github.com/amueller/word_cloud) (π¨βπ» 69 Β· π 2.3K Β· π¦ 21 Β· π 500 - 18% open Β· β±οΈ 04.10.2023):
```
git clone https://github.com/amueller/word_cloud
@@ -1133,14 +1105,14 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge wordcloud
```
UMAP (π₯30 Β· β 6.5K Β· π) - Uniform Manifold Approximation and Projection. BSD-3
+UMAP (π₯30 Β· β 6.5K) - Uniform Manifold Approximation and Projection. BSD-3
- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 130 Β· π 720 Β· π¦ 1 Β· π 740 - 55% open Β· β±οΈ 17.10.2023):
```
git clone https://github.com/lmcinnes/umap
```
-- [PyPi](https://pypi.org/project/umap-learn) (π₯ 990K / month):
+- [PyPi](https://pypi.org/project/umap-learn) (π₯ 1M / month):
```
pip install umap-learn
```
@@ -1149,24 +1121,16 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge umap-learn
```
bqplot (π₯30 Β· β 3.5K) - Plotting library for IPython/Jupyter notebooks. Apache-2
+lets-plot (π₯30 Β· β 1.2K) - Multiplatform plotting library based on Grammar of Graphics. MIT
-- [GitHub](https://github.com/bqplot/bqplot) (π¨βπ» 64 Β· π 480 Β· π¦ 49 Β· π 620 - 40% open Β· β±οΈ 04.10.2023):
+- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 20 Β· π 48 Β· π₯ 540 Β· π¦ 48 Β· π 440 - 26% open Β· β±οΈ 26.10.2023):
```
- git clone https://github.com/bqplot/bqplot
- ```
-- [PyPi](https://pypi.org/project/bqplot) (π₯ 140K / month Β· π¦ 100 Β· β±οΈ 17.10.2023):
- ```
- pip install bqplot
- ```
-- [Conda](https://anaconda.org/conda-forge/bqplot) (π₯ 1.2M Β· β±οΈ 12.07.2023):
- ```
- conda install -c conda-forge bqplot
+ git clone https://github.com/JetBrains/lets-plot
```
-- [npm](https://www.npmjs.com/package/bqplot) (π₯ 5.2K / month Β· π¦ 16 Β· β±οΈ 17.10.2023):
+- [PyPi](https://pypi.org/project/lets-plot) (π₯ 28K / month Β· π¦ 1 Β· β±οΈ 13.09.2023):
```
- npm install bqplot
+ pip install lets-plot
```
Facets Overview (π₯29 Β· β 7.2K) - Visualizations for machine learning datasets. Apache-2
@@ -1176,19 +1140,39 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/pair-code/facets
```
-- [PyPi](https://pypi.org/project/facets-overview) (π₯ 210K / month Β· π¦ 8 Β· β±οΈ 24.05.2023):
+- [PyPi](https://pypi.org/project/facets-overview) (π₯ 200K / month Β· π¦ 8 Β· β±οΈ 24.05.2023):
```
pip install facets-overview
```
bqplot (π₯29 Β· β 3.5K) - Plotting library for IPython/Jupyter notebooks. Apache-2
+
+- [GitHub](https://github.com/bqplot/bqplot) (π¨βπ» 64 Β· π 450 Β· π¦ 50 Β· π 590 - 37% open Β· β±οΈ 04.10.2023):
+
+ ```
+ git clone https://github.com/bqplot/bqplot
+ ```
+- [PyPi](https://pypi.org/project/bqplot) (π₯ 130K / month):
+ ```
+ pip install bqplot
+ ```
+- [Conda](https://anaconda.org/conda-forge/bqplot) (π₯ 1.2M Β· β±οΈ 12.07.2023):
+ ```
+ conda install -c conda-forge bqplot
+ ```
+- [npm](https://www.npmjs.com/package/bqplot) (π₯ 5.5K / month):
+ ```
+ npm install bqplot
+ ```
+Sweetviz (π₯29 Β· β 2.6K) - Visualize and compare datasets, target values and associations, with one.. MIT
-- [GitHub](https://github.com/fbdesignpro/sweetviz) (π¨βπ» 9 Β· π 260 Β· π¦ 1.7K Β· π 130 - 33% open Β· β±οΈ 26.09.2023):
+- [GitHub](https://github.com/fbdesignpro/sweetviz) (π¨βπ» 9 Β· π 260 Β· π¦ 1.8K Β· π 120 - 28% open Β· β±οΈ 26.09.2023):
```
git clone https://github.com/fbdesignpro/sweetviz
```
-- [PyPi](https://pypi.org/project/sweetviz) (π₯ 70K / month Β· π¦ 12 Β· β±οΈ 26.08.2023):
+- [PyPi](https://pypi.org/project/sweetviz) (π₯ 70K / month):
```
pip install sweetviz
```
@@ -1199,12 +1183,12 @@ _General-purpose and task-specific data visualization libraries._
mpld3 (π₯29 Β· β 2.3K Β· π€) - D3 Renderings of Matplotlib Graphics. BSD-3
-- [GitHub](https://github.com/mpld3/mpld3) (π¨βπ» 51 Β· π 360 Β· π¦ 5.1K Β· π 360 - 60% open Β· β±οΈ 10.12.2022):
+- [GitHub](https://github.com/mpld3/mpld3) (π¨βπ» 51 Β· π 360 Β· π¦ 5.2K Β· π 360 - 60% open Β· β±οΈ 10.12.2022):
```
git clone https://github.com/mpld3/mpld3
```
-- [PyPi](https://pypi.org/project/mpld3) (π₯ 280K / month Β· π¦ 410 Β· β±οΈ 10.12.2022):
+- [PyPi](https://pypi.org/project/mpld3) (π₯ 290K / month Β· π¦ 410 Β· β±οΈ 10.12.2022):
```
pip install mpld3
```
@@ -1212,7 +1196,7 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge mpld3
```
-- [npm](https://www.npmjs.com/package/mpld3) (π₯ 600 / month Β· π¦ 8 Β· β±οΈ 10.12.2022):
+- [npm](https://www.npmjs.com/package/mpld3) (π₯ 510 / month Β· π¦ 8 Β· β±οΈ 10.12.2022):
```
npm install mpld3
```
@@ -1224,7 +1208,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/tensorflow/data-validation
```
-- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 410K / month Β· π¦ 30 Β· β±οΈ 14.08.2023):
+- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 380K / month Β· π¦ 30 Β· β±οΈ 14.08.2023):
```
pip install tensorflow-data-validation
```
@@ -1236,7 +1220,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/ResidentMario/missingno
```
-- [PyPi](https://pypi.org/project/missingno) (π₯ 390K / month):
+- [PyPi](https://pypi.org/project/missingno) (π₯ 380K / month):
```
pip install missingno
```
@@ -1245,50 +1229,50 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge missingno
```
AutoViz (π₯28 Β· β 1.5K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
+pythreejs (π₯27 Β· β 900 Β· π€) - A Jupyter - Three.js bridge. BSD-3
-- [GitHub](https://github.com/AutoViML/AutoViz) (π¨βπ» 14 Β· π 180 Β· π¦ 560 Β· π 79 - 3% open Β· β±οΈ 04.07.2023):
+- [GitHub](https://github.com/jupyter-widgets/pythreejs) (π¨βπ» 30 Β· π 180 Β· π¦ 28 Β· π 240 - 25% open Β· β±οΈ 20.02.2023):
```
- git clone https://github.com/AutoViML/AutoViz
+ git clone https://github.com/jupyter-widgets/pythreejs
```
-- [PyPi](https://pypi.org/project/autoviz) (π₯ 290K / month Β· π¦ 7 Β· β±οΈ 03.10.2022):
+- [PyPi](https://pypi.org/project/pythreejs) (π₯ 61K / month Β· π¦ 56 Β· β±οΈ 20.02.2023):
```
- pip install autoviz
+ pip install pythreejs
```
-- [Conda](https://anaconda.org/conda-forge/autoviz) (π₯ 43K Β· β±οΈ 21.07.2023):
+- [Conda](https://anaconda.org/conda-forge/pythreejs) (π₯ 510K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge autoviz
+ conda install -c conda-forge pythreejs
+ ```
+- [npm](https://www.npmjs.com/package/jupyter-threejs) (π₯ 3.8K / month Β· π¦ 11 Β· β±οΈ 20.02.2023):
+ ```
+ npm install jupyter-threejs
```
pythreejs (π₯27 Β· β 900 Β· π€) - A Jupyter - Three.js bridge. BSD-3
+AutoViz (π₯26 Β· β 1.5K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
-- [GitHub](https://github.com/jupyter-widgets/pythreejs) (π¨βπ» 30 Β· π 180 Β· π¦ 27 Β· π 240 - 25% open Β· β±οΈ 20.02.2023):
+- [GitHub](https://github.com/AutoViML/AutoViz) (π¨βπ» 14 Β· π 180 Β· π¦ 560 Β· π 80 - 5% open Β· β±οΈ 04.07.2023):
```
- git clone https://github.com/jupyter-widgets/pythreejs
- ```
-- [PyPi](https://pypi.org/project/pythreejs) (π₯ 62K / month Β· π¦ 56 Β· β±οΈ 20.02.2023):
- ```
- pip install pythreejs
+ git clone https://github.com/AutoViML/AutoViz
```
-- [Conda](https://anaconda.org/conda-forge/pythreejs) (π₯ 510K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/autoviz) (π₯ 420K / month):
```
- conda install -c conda-forge pythreejs
+ pip install autoviz
```
-- [npm](https://www.npmjs.com/package/jupyter-threejs) (π₯ 3.7K / month Β· π¦ 11 Β· β±οΈ 20.02.2023):
+- [Conda](https://anaconda.org/conda-forge/autoviz) (π₯ 43K Β· β±οΈ 21.07.2023):
```
- npm install jupyter-threejs
+ conda install -c conda-forge autoviz
```
openTSNE (π₯26 Β· β 1.3K) - Extensible, parallel implementations of t-SNE. BSD-3
-- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 11 Β· π 150 Β· π¦ 670 Β· π 130 - 1% open Β· β±οΈ 21.08.2023):
+- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 11 Β· π 140 Β· π¦ 670 Β· π 130 - 1% open Β· β±οΈ 21.08.2023):
```
git clone https://github.com/pavlin-policar/openTSNE
```
-- [PyPi](https://pypi.org/project/opentsne) (π₯ 31K / month Β· π¦ 15 Β· β±οΈ 18.03.2022):
+- [PyPi](https://pypi.org/project/opentsne) (π₯ 25K / month):
```
pip install opentsne
```
@@ -1304,7 +1288,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/spotify/chartify
```
-- [PyPi](https://pypi.org/project/chartify) (π₯ 2.6K / month Β· π¦ 10 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/chartify) (π₯ 2.9K / month Β· π¦ 10 Β· β±οΈ 12.10.2023):
```
pip install chartify
```
@@ -1315,16 +1299,16 @@ _General-purpose and task-specific data visualization libraries._
HiPlot (π₯25 Β· β 2.6K) - HiPlot makes understanding high dimensional data easy. MIT
-- [GitHub](https://github.com/facebookresearch/hiplot) (π¨βπ» 9 Β· π 130 Β· π¦ 340 Β· π 92 - 20% open Β· β±οΈ 19.07.2023):
+- [GitHub](https://github.com/facebookresearch/hiplot) (π¨βπ» 9 Β· π 130 Β· π¦ 340 Β· π 88 - 17% open Β· β±οΈ 19.07.2023):
```
git clone https://github.com/facebookresearch/hiplot
```
-- [PyPi](https://pypi.org/project/hiplot) (π₯ 24K / month Β· π¦ 15 Β· β±οΈ 05.07.2022):
+- [PyPi](https://pypi.org/project/hiplot) (π₯ 25K / month):
```
pip install hiplot
```
-- [Conda](https://anaconda.org/conda-forge/hiplot) (π₯ 160K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/hiplot) (π₯ 170K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge hiplot
```
@@ -1340,19 +1324,19 @@ _General-purpose and task-specific data visualization libraries._
```
pip install MulticoreTSNE
```
-- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (π₯ 29K Β· β±οΈ 11.10.2023):
+- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (π₯ 30K Β· β±οΈ 11.10.2023):
```
conda install -c conda-forge multicore-tsne
```
Plotly-Resampler (π₯25 Β· β 820) - Visualize large time series data with plotly.py. MIT
+Plotly-Resampler (π₯25 Β· β 830) - Visualize large time series data with plotly.py. MIT
-- [GitHub](https://github.com/predict-idlab/plotly-resampler) (π¨βπ» 11 Β· π 54 Β· π¦ 610 Β· π 130 - 29% open Β· β±οΈ 04.10.2023):
+- [GitHub](https://github.com/predict-idlab/plotly-resampler) (π¨βπ» 11 Β· π 54 Β· π¦ 630 Β· π 140 - 28% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/predict-idlab/plotly-resampler
```
-- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 330K / month):
+- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 340K / month Β· π¦ 5 Β· β±οΈ 29.06.2022):
```
pip install plotly-resampler
```
@@ -1368,19 +1352,19 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/PatrikHlobil/Pandas-Bokeh
```
-- [PyPi](https://pypi.org/project/pandas-bokeh) (π₯ 26K / month Β· π¦ 12 Β· β±οΈ 11.04.2021):
+- [PyPi](https://pypi.org/project/pandas-bokeh) (π₯ 21K / month Β· π¦ 12 Β· β±οΈ 11.04.2021):
```
pip install pandas-bokeh
```
python-ternary (π₯23 Β· β 650) - Ternary plotting library for python with matplotlib. MIT
-- [GitHub](https://github.com/marcharper/python-ternary) (π¨βπ» 27 Β· π 160 Β· π₯ 25 Β· π¦ 150 Β· π 140 - 25% open Β· β±οΈ 26.09.2023):
+- [GitHub](https://github.com/marcharper/python-ternary) (π¨βπ» 27 Β· π 150 Β· π₯ 25 Β· π¦ 150 Β· π 130 - 21% open Β· β±οΈ 26.09.2023):
```
git clone https://github.com/marcharper/python-ternary
```
-- [PyPi](https://pypi.org/project/python-ternary) (π₯ 37K / month Β· π¦ 24 Β· β±οΈ 17.02.2021):
+- [PyPi](https://pypi.org/project/python-ternary) (π₯ 36K / month):
```
pip install python-ternary
```
@@ -1389,18 +1373,6 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge python-ternary
```
Popmon (π₯22 Β· β 470) - Monitor the stability of a Pandas or Spark dataframe. MIT
-
-- [GitHub](https://github.com/ing-bank/popmon) (π¨βπ» 17 Β· π 35 Β· π₯ 120 Β· π¦ 20 Β· π 55 - 27% open Β· β±οΈ 18.07.2023):
-
- ```
- git clone https://github.com/ing-bank/popmon
- ```
-- [PyPi](https://pypi.org/project/popmon) (π₯ 8.2K / month Β· π¦ 2 Β· β±οΈ 18.07.2023):
- ```
- pip install popmon
- ```
-PDPbox (π₯21 Β· β 780) - python partial dependence plot toolbox. MIT
- [GitHub](https://github.com/SauceCat/PDPbox) (π¨βπ» 7 Β· π 130 Β· π 65 - 40% open Β· β±οΈ 05.06.2023):
@@ -1417,6 +1389,18 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge pdpbox
```
Popmon (π₯21 Β· β 470) - Monitor the stability of a Pandas or Spark dataframe. MIT
+
+- [GitHub](https://github.com/ing-bank/popmon) (π¨βπ» 17 Β· π 35 Β· π₯ 120 Β· π¦ 20 Β· π 55 - 27% open Β· β±οΈ 18.07.2023):
+
+ ```
+ git clone https://github.com/ing-bank/popmon
+ ```
+- [PyPi](https://pypi.org/project/popmon) (π₯ 7.5K / month Β· π¦ 2 Β· β±οΈ 18.07.2023):
+ ```
+ pip install popmon
+ ```
+vega (π₯21 Β· β 360) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3
- [GitHub](https://github.com/vega/ipyvega) (π¨βπ» 15 Β· π 60 Β· π¦ 2 Β· π 100 - 10% open Β· β±οΈ 01.10.2023):
@@ -1424,7 +1408,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/vega/ipyvega
```
-- [PyPi](https://pypi.org/project/vega) (π₯ 13K / month):
+- [PyPi](https://pypi.org/project/vega) (π₯ 16K / month):
```
pip install vega
```
@@ -1435,7 +1419,7 @@ _General-purpose and task-specific data visualization libraries._
ivis (π₯18 Β· β 300 Β· π€) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
-- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 39 Β· π¦ 30 Β· π 59 - 5% open Β· β±οΈ 11.01.2023):
+- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 40 Β· π¦ 30 Β· π 59 - 5% open Β· β±οΈ 11.01.2023):
```
git clone https://github.com/beringresearch/ivis
@@ -1445,21 +1429,22 @@ _General-purpose and task-specific data visualization libraries._
pip install ivis
```
Show 13 hidden projects...
+Show 14 hidden projects...
- cartopy (π₯34 Β· β 1.3K) - Cartopy - a cartographic python library with matplotlib support. βοΈLGPL-3.0
+- PyQtGraph (π₯32 Β· β 3.4K Β· π) - Fast data visualization and GUI tools for scientific /.. βUnlicensed
- Cufflinks (π₯27 Β· β 2.9K Β· π) - Productivity Tools for Plotly + Pandas. MIT MIT
- PandasGUI (π₯23 Β· β 3K Β· π) - A GUI for Pandas DataFrames. βοΈMIT-0 MIT MIT
-- PyWaffle (π₯20 Β· β 560 Β· π) - Make Waffle Charts in Python. MIT
+- joypy (π₯20 Β· β 500 Β· π) - Joyplots in Python with matplotlib & pandas. MIT
- vegafusion (π₯20 Β· β 270) - Serverside scaling for Vega and Altair visualizations. BSD-3
+- PyWaffle (π₯19 Β· β 560 Β· π) - Make Waffle Charts in Python. MIT
- animatplot (π₯18 Β· β 400 Β· π) - A python package for animating plots build on matplotlib. MIT
+- pdvega (π₯16 Β· β 340 Β· π) - Interactive plotting for Pandas using Vega-Lite. MIT
- nx-altair (π₯16 Β· β 220 Β· π) - Draw interactive NetworkX graphs with Altair. MIT βUnlicensed
-- pdvega (π₯13 Β· β 340 Β· π) - Interactive plotting for Pandas using Vega-Lite. MIT
-- nptsne (π₯12 Β· β 31 Β· π) - nptsne is a numpy compatible python binary package that offers a.. Apache-2
+- nptsne (π₯10 Β· β 31 Β· π) - nptsne is a numpy compatible python binary package that offers a.. Apache-2
@@ -1471,7 +1456,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (π₯50 Β· β 110K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
-- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 2.2K Β· π 22K Β· π₯ 140 Β· π¦ 110K Β· π 13K - 5% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 2.2K Β· π 22K Β· π₯ 140 Β· π¦ 110K Β· π 13K - 5% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/huggingface/transformers
@@ -1487,12 +1472,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
spaCy (π₯44 Β· β 27K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
-- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 740 Β· π 4.2K Β· π¦ 72K Β· π 5.5K - 1% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 740 Β· π 4.2K Β· π¦ 72K Β· π 5.5K - 1% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/explosion/spaCy
```
-- [PyPi](https://pypi.org/project/spacy) (π₯ 6.9M / month Β· π¦ 2.8K Β· β±οΈ 16.10.2023):
+- [PyPi](https://pypi.org/project/spacy) (π₯ 7.1M / month Β· π¦ 2.8K Β· β±οΈ 16.10.2023):
```
pip install spacy
```
@@ -1501,30 +1486,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge spacy
```
nltk (π₯42 Β· β 12K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
+Rasa (π₯41 Β· β 17K) - Open source machine learning framework to automate text- and voice-.. Apache-2
-- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 440 Β· π 2.8K Β· π¦ 230K Β· π 1.8K - 15% open Β· β±οΈ 28.09.2023):
+- [GitHub](https://github.com/RasaHQ/rasa) (π¨βπ» 590 Β· π 4.4K Β· π¦ 3.7K Β· π 6.8K - 1% open Β· β±οΈ 23.10.2023):
```
- git clone https://github.com/nltk/nltk
- ```
-- [PyPi](https://pypi.org/project/nltk) (π₯ 12M / month Β· π¦ 13K Β· β±οΈ 02.01.2023):
- ```
- pip install nltk
+ git clone https://github.com/RasaHQ/rasa
```
-- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 2.3M Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/rasa) (π₯ 120K / month Β· π¦ 66 Β· β±οΈ 23.10.2023):
```
- conda install -c conda-forge nltk
+ pip install rasa
```
gensim (π₯41 Β· β 15K) - Topic Modelling for Humans. βοΈLGPL-2.1
+gensim (π₯41 Β· β 15K) - Topic Modelling for Humans. βοΈLGPL-2.1
-- [GitHub](https://github.com/RaRe-Technologies/gensim) (π¨βπ» 450 Β· π 4.4K Β· π₯ 4.5K Β· π¦ 51K Β· π 1.8K - 21% open Β· β±οΈ 01.10.2023):
+- [GitHub](https://github.com/piskvorky/gensim) (π¨βπ» 450 Β· π 4.1K Β· π₯ 4.5K Β· π¦ 51K Β· π 1.8K - 20% open Β· β±οΈ 01.10.2023):
```
git clone https://github.com/RaRe-Technologies/gensim
```
-- [PyPi](https://pypi.org/project/gensim) (π₯ 4M / month Β· π¦ 3.1K Β· β±οΈ 24.08.2023):
+- [PyPi](https://pypi.org/project/gensim) (π₯ 3.9M / month):
```
pip install gensim
```
@@ -1533,26 +1514,30 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge gensim
```
Rasa (π₯40 Β· β 17K) - Open source machine learning framework to automate text- and voice-.. Apache-2
+nltk (π₯40 Β· β 12K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
-- [GitHub](https://github.com/RasaHQ/rasa) (π¨βπ» 590 Β· π 4.4K Β· π¦ 3.7K Β· π 6.8K - 1% open Β· β±οΈ 11.10.2023):
+- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 440 Β· π 2.7K Β· π¦ 230K Β· π 1.7K - 14% open Β· β±οΈ 28.09.2023):
```
- git clone https://github.com/RasaHQ/rasa
+ git clone https://github.com/nltk/nltk
```
-- [PyPi](https://pypi.org/project/rasa) (π₯ 110K / month Β· π¦ 66 Β· β±οΈ 18.10.2023):
+- [PyPi](https://pypi.org/project/nltk) (π₯ 12M / month):
```
- pip install rasa
+ pip install nltk
+ ```
+- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 2.3M Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge nltk
```
flair (π₯38 Β· β 13K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT
-- [GitHub](https://github.com/flairNLP/flair) (π¨βπ» 250 Β· π 2K Β· π¦ 2.8K Β· π 2.2K - 3% open Β· β±οΈ 12.10.2023):
+- [GitHub](https://github.com/flairNLP/flair) (π¨βπ» 250 Β· π 2K Β· π¦ 2.8K Β· π 2.2K - 3% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/flairNLP/flair
```
-- [PyPi](https://pypi.org/project/flair) (π₯ 81K / month Β· π¦ 87 Β· β±οΈ 20.05.2022):
+- [PyPi](https://pypi.org/project/flair) (π₯ 89K / month Β· π¦ 87 Β· β±οΈ 20.05.2022):
```
pip install flair
```
@@ -1563,12 +1548,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Tokenizers (π₯38 Β· β 7.7K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
-- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 80 Β· π 620 Β· π₯ 33 Β· π¦ 45K Β· π 830 - 30% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 80 Β· π 630 Β· π₯ 33 Β· π¦ 46K Β· π 840 - 30% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/huggingface/tokenizers
```
-- [PyPi](https://pypi.org/project/tokenizers) (π₯ 14M / month):
+- [PyPi](https://pypi.org/project/tokenizers) (π₯ 15M / month):
```
pip install tokenizers
```
@@ -1577,32 +1562,32 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge tokenizers
```
fairseq (π₯37 Β· β 28K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
+haystack (π₯37 Β· β 11K) - LLM orchestration framework to build customizable, production-ready.. Apache-2
-- [GitHub](https://github.com/facebookresearch/fairseq) (π¨βπ» 420 Β· π 5.9K Β· π₯ 320 Β· π¦ 2.2K Β· π 4K - 24% open Β· β±οΈ 10.10.2023):
+- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 210 Β· π 1.4K Β· π₯ 23 Β· π¦ 980 Β· π 2.7K - 18% open Β· β±οΈ 26.10.2023):
```
- git clone https://github.com/facebookresearch/fairseq
- ```
-- [PyPi](https://pypi.org/project/fairseq) (π₯ 480K / month):
- ```
- pip install fairseq
+ git clone https://github.com/deepset-ai/haystack
```
-- [Conda](https://anaconda.org/conda-forge/fairseq) (π₯ 51K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/haystack) (π₯ 2.3K / month Β· π¦ 87 Β· β±οΈ 03.07.2017):
```
- conda install -c conda-forge fairseq
+ pip install haystack
```
haystack (π₯37 Β· β 11K) - LLM orchestration framework to build customizable, production-ready.. Apache-2
+fairseq (π₯36 Β· β 28K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
-- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 200 Β· π 1.4K Β· π₯ 23 Β· π¦ 960 Β· π 2.7K - 18% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/facebookresearch/fairseq) (π¨βπ» 420 Β· π 6.1K Β· π₯ 320 Β· π¦ 2.2K Β· π 4.1K - 26% open Β· β±οΈ 10.10.2023):
```
- git clone https://github.com/deepset-ai/haystack
+ git clone https://github.com/facebookresearch/fairseq
```
-- [PyPi](https://pypi.org/project/haystack) (π₯ 2.2K / month Β· π¦ 87 Β· β±οΈ 03.07.2017):
+- [PyPi](https://pypi.org/project/fairseq) (π₯ 440K / month Β· π¦ 64 Β· β±οΈ 27.06.2022):
```
- pip install haystack
+ pip install fairseq
+ ```
+- [Conda](https://anaconda.org/conda-forge/fairseq) (π₯ 53K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge fairseq
```
sentence-transformers (π₯36 Β· β 12K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2
@@ -1621,21 +1606,21 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge sentence-transformers
```
NeMo (π₯36 Β· β 8.2K) - NeMo: a toolkit for conversational AI. Apache-2
+NeMo (π₯36 Β· β 8.3K) - NeMo: a toolkit for conversational AI. Apache-2
-- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 250 Β· π 1.8K Β· π₯ 84K Β· π¦ 19 Β· π 1.8K - 1% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 260 Β· π 1.9K Β· π₯ 86K Β· π¦ 21 Β· π 1.9K - 4% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/NVIDIA/NeMo
```
-- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 40K / month):
+- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 39K / month Β· π¦ 10 Β· β±οΈ 25.10.2023):
```
pip install nemo-toolkit
```
spark-nlp (π₯36 Β· β 3.5K) - State of the Art Natural Language Processing. Apache-2
-- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 110 Β· π 670 Β· π¦ 350 Β· π 830 - 4% open Β· β±οΈ 10.10.2023):
+- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 110 Β· π 670 Β· π¦ 350 Β· π 830 - 4% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/JohnSnowLabs/spark-nlp
@@ -1663,24 +1648,24 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
ParlAI (π₯35 Β· β 10K) - 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¦ 220 Β· π 1.5K - 3% open Β· β±οΈ 12.10.2023):
+- [GitHub](https://github.com/facebookresearch/ParlAI) (π¨βπ» 220 Β· π 2.1K Β· π¦ 220 Β· π 1.5K - 3% open Β· β±οΈ 19.10.2023):
```
git clone https://github.com/facebookresearch/ParlAI
```
-- [PyPi](https://pypi.org/project/parlai) (π₯ 1.7K / month Β· π¦ 5 Β· β±οΈ 20.09.2022):
+- [PyPi](https://pypi.org/project/parlai) (π₯ 1.9K / month Β· π¦ 5 Β· β±οΈ 20.09.2022):
```
pip install parlai
```
TextBlob (π₯35 Β· β 8.7K Β· π€) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. MIT
-- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 36 Β· π 1.1K Β· π₯ 110 Β· π¦ 33K Β· π 270 - 42% open Β· β±οΈ 11.03.2023):
+- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 36 Β· π 1.1K Β· π₯ 110 Β· π¦ 33K Β· π 260 - 39% open Β· β±οΈ 11.03.2023):
```
git clone https://github.com/sloria/TextBlob
```
-- [PyPi](https://pypi.org/project/textblob) (π₯ 610K / month Β· π¦ 1.4K Β· β±οΈ 22.10.2021):
+- [PyPi](https://pypi.org/project/textblob) (π₯ 600K / month Β· π¦ 1.4K Β· β±οΈ 22.10.2021):
```
pip install textblob
```
@@ -1689,18 +1674,18 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge textblob
```
sentencepiece (π₯35 Β· β 8.3K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
+sentencepiece (π₯35 Β· β 8.4K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 78 Β· π 1K Β· π₯ 31K Β· π¦ 44K Β· π 660 - 4% open Β· β±οΈ 05.08.2023):
```
git clone https://github.com/google/sentencepiece
```
-- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 10M / month Β· π¦ 810 Β· β±οΈ 02.05.2023):
+- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 9.7M / month Β· π¦ 810 Β· β±οΈ 02.05.2023):
```
pip install sentencepiece
```
-- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 640K Β· β±οΈ 08.10.2023):
+- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 650K Β· β±οΈ 08.10.2023):
```
conda install -c conda-forge sentencepiece
```
@@ -1712,7 +1697,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/stanfordnlp/stanza
```
-- [PyPi](https://pypi.org/project/stanza) (π₯ 130K / month Β· π¦ 91 Β· β±οΈ 06.10.2023):
+- [PyPi](https://pypi.org/project/stanza) (π₯ 140K / month Β· π¦ 91 Β· β±οΈ 06.10.2023):
```
pip install stanza
```
@@ -1721,18 +1706,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c stanfordnlp stanza
```
TensorFlow Text (π₯35 Β· β 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2
-
-- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 110 Β· π 300 Β· π¦ 5.9K Β· π 230 - 29% open Β· β±οΈ 17.10.2023):
-
- ```
- git clone https://github.com/tensorflow/text
- ```
-- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 3.3M / month):
- ```
- pip install tensorflow-text
- ```
-fastText (π₯34 Β· β 25K) - Library for fast text representation and classification. MIT
- [GitHub](https://github.com/facebookresearch/fastText) (π¨βπ» 64 Β· π 4.6K Β· π¦ 5.1K Β· π 1.2K - 47% open Β· β±οΈ 04.10.2023):
@@ -1740,7 +1713,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/facebookresearch/fastText
```
-- [PyPi](https://pypi.org/project/fasttext) (π₯ 1.2M / month Β· π¦ 220 Β· β±οΈ 28.04.2020):
+- [PyPi](https://pypi.org/project/fasttext) (π₯ 1.3M / month Β· π¦ 220 Β· β±οΈ 28.04.2020):
```
pip install fasttext
```
@@ -1751,24 +1724,24 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
OpenNMT (π₯34 Β· β 6.3K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT
-- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (π¨βπ» 190 Β· π 2.2K Β· π¦ 230 Β· π 1.4K - 1% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (π¨βπ» 190 Β· π 2.2K Β· π¦ 230 Β· π 1.4K - 1% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/OpenNMT/OpenNMT-py
```
-- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 6.2K / month Β· π¦ 10 Β· β±οΈ 26.09.2023):
+- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 6.3K / month Β· π¦ 10 Β· β±οΈ 20.10.2023):
```
pip install OpenNMT-py
```
rubrix (π₯34 Β· β 2.6K) - Argilla: the open-source data curation platform for LLMs. Apache-2
+rubrix (π₯34 Β· β 2.6K) - Argilla: the open-source feedback platform for LLMs. Apache-2
-- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 67 Β· π 240 Β· π¦ 2K Β· π 1.5K - 13% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 68 Β· π 240 Β· π¦ 2K Β· π 1.6K - 14% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/recognai/rubrix
```
-- [PyPi](https://pypi.org/project/rubrix) (π₯ 210 / month Β· β±οΈ 24.10.2022):
+- [PyPi](https://pypi.org/project/rubrix) (π₯ 220 / month Β· β±οΈ 24.10.2022):
```
pip install rubrix
```
@@ -1777,49 +1750,45 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge rubrix
```
litellm (π₯34 Β· β 2.1K Β· π£) - Call all LLM APIs using the OpenAI format. Use Azure,.. MIT o t h e r s
+litellm (π₯34 Β· β 2.4K Β· π£) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s
-- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 38 Β· π 160 Β· π¦ 240 Β· π 550 - 26% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 46 Β· π 190 Β· π¦ 290 Β· π 590 - 20% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/BerriAI/litellm
```
-- [PyPi](https://pypi.org/project/litellm) (π₯ 160K / month Β· π¦ 27 Β· β±οΈ 18.10.2023):
+- [PyPi](https://pypi.org/project/litellm) (π₯ 150K / month Β· π¦ 28 Β· β±οΈ 25.10.2023):
```
pip install litellm
```
torchtext (π₯33 Β· β 3.4K) - Models, data loaders and abstractions for language processing,.. BSD-3
+TensorFlow Text (π₯34 Β· β 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2
-- [GitHub](https://github.com/pytorch/text) (π¨βπ» 150 Β· π 810 Β· π 810 - 37% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 110 Β· π 300 Β· π¦ 5.9K Β· π 230 - 29% open Β· β±οΈ 17.10.2023):
```
- git clone https://github.com/pytorch/text
+ git clone https://github.com/tensorflow/text
```
-- [PyPi](https://pypi.org/project/torchtext) (π₯ 370K / month Β· π¦ 480 Β· β±οΈ 04.10.2023):
+- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 3.1M / month):
```
- pip install torchtext
+ pip install tensorflow-text
```
jellyfish (π₯33 Β· β 1.9K) - a python library for doing approximate and phonetic matching of strings. MIT
+DeepPavlov (π₯33 Β· β 6.4K) - An open source library for deep learning end-to-end dialog.. Apache-2
-- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 30 Β· π 160 Β· π¦ 7.1K Β· π 130 - 6% open Β· β±οΈ 14.10.2023):
+- [GitHub](https://github.com/deeppavlov/DeepPavlov) (π¨βπ» 76 Β· π 1.1K Β· π¦ 360 Β· π 630 - 2% open Β· β±οΈ 17.10.2023):
```
- git clone https://github.com/jamesturk/jellyfish
- ```
-- [PyPi](https://pypi.org/project/jellyfish) (π₯ 2.3M / month Β· π¦ 450 Β· β±οΈ 18.09.2023):
- ```
- pip install jellyfish
+ git clone https://github.com/deepmipt/DeepPavlov
```
-- [Conda](https://anaconda.org/conda-forge/jellyfish) (π₯ 720K Β· β±οΈ 25.09.2023):
+- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 8.1K / month Β· π¦ 6 Β· β±οΈ 17.10.2023):
```
- conda install -c conda-forge jellyfish
+ pip install deeppavlov
```
snowballstemmer (π₯33 Β· β 690) - Snowball compiler and stemming algorithms. BSD-3
-- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 34 Β· π 170 Β· π¦ 4 Β· π 87 - 35% open Β· β±οΈ 06.10.2023):
+- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 34 Β· π 170 Β· π¦ 4 Β· π 87 - 35% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/snowballstem/snowball
@@ -1828,31 +1797,35 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install snowballstemmer
```
-- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 7.3M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 7.4M Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge snowballstemmer
```
DeepPavlov (π₯32 Β· β 6.4K) - An open source library for deep learning end-to-end dialog.. Apache-2
+jellyfish (π₯31 Β· β 1.9K) - a python library for doing approximate and phonetic matching of strings. MIT
-- [GitHub](https://github.com/deeppavlov/DeepPavlov) (π¨βπ» 76 Β· π 1.1K Β· π¦ 360 Β· π 630 - 2% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 30 Β· π 160 Β· π¦ 7.2K Β· π 130 - 6% open Β· β±οΈ 25.10.2023):
```
- git clone https://github.com/deepmipt/DeepPavlov
+ git clone https://github.com/jamesturk/jellyfish
```
-- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 8K / month Β· π¦ 6 Β· β±οΈ 17.10.2023):
+- [PyPi](https://pypi.org/project/jellyfish) (π₯ 2.2M / month):
```
- pip install deeppavlov
+ pip install jellyfish
+ ```
+- [Conda](https://anaconda.org/conda-forge/jellyfish) (π₯ 730K Β· β±οΈ 25.09.2023):
+ ```
+ conda install -c conda-forge jellyfish
```
SciSpacy (π₯31 Β· β 1.5K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
-- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 31 Β· π 200 Β· π¦ 770 Β· π 300 - 10% open Β· β±οΈ 05.10.2023):
+- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 32 Β· π 200 Β· π¦ 770 Β· π 300 - 10% open Β· β±οΈ 20.10.2023):
```
git clone https://github.com/allenai/scispacy
```
-- [PyPi](https://pypi.org/project/scispacy) (π₯ 63K / month Β· π¦ 30 Β· β±οΈ 30.09.2023):
+- [PyPi](https://pypi.org/project/scispacy) (π₯ 60K / month Β· π¦ 30 Β· β±οΈ 30.09.2023):
```
pip install scispacy
```
@@ -1864,7 +1837,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/explosion/spacy-transformers
```
-- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 380K / month Β· π¦ 42 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 360K / month Β· π¦ 42 Β· β±οΈ 12.10.2023):
```
pip install spacy-transformers
```
@@ -1875,12 +1848,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
TextDistance (π₯30 Β· β 3.2K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
-- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 14 Β· π 250 Β· π₯ 920 Β· π¦ 5K Β· β±οΈ 28.09.2023):
+- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 14 Β· π 240 Β· π₯ 920 Β· π¦ 5K Β· β±οΈ 28.09.2023):
```
git clone https://github.com/life4/textdistance
```
-- [PyPi](https://pypi.org/project/textdistance) (π₯ 370K / month Β· π¦ 63 Β· β±οΈ 28.09.2023):
+- [PyPi](https://pypi.org/project/textdistance) (π₯ 390K / month):
```
pip install textdistance
```
@@ -1891,68 +1864,80 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
GluonNLP (π₯30 Β· β 2.5K Β· π€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2
-- [GitHub](https://github.com/dmlc/gluon-nlp) (π¨βπ» 85 Β· π 520 Β· π¦ 1.4K Β· π 560 - 46% open Β· β±οΈ 25.12.2022):
+- [GitHub](https://github.com/dmlc/gluon-nlp) (π¨βπ» 86 Β· π 520 Β· π¦ 1.4K Β· π 560 - 46% open Β· β±οΈ 25.12.2022):
```
git clone https://github.com/dmlc/gluon-nlp
```
-- [PyPi](https://pypi.org/project/gluonnlp) (π₯ 81K / month Β· π¦ 22 Β· β±οΈ 13.08.2020):
+- [PyPi](https://pypi.org/project/gluonnlp) (π₯ 85K / month Β· π¦ 22 Β· β±οΈ 13.08.2020):
```
pip install gluonnlp
```
english-words (π₯29 Β· β 9.4K Β· π€) - A text file containing 479k English words for all your.. Unlicense
+ftfy (π₯29 Β· β 3.6K Β· π€) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT
-- [GitHub](https://github.com/dwyl/english-words) (π¨βπ» 30 Β· π 1.7K Β· π¦ 2 Β· π 130 - 73% open Β· β±οΈ 08.11.2022):
+- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 18 Β· π 120 Β· π¦ 14K Β· π 140 - 11% open Β· β±οΈ 25.10.2022):
```
- git clone https://github.com/dwyl/english-words
+ git clone https://github.com/rspeer/python-ftfy
```
-- [PyPi](https://pypi.org/project/english-words) (π₯ 630K / month Β· π¦ 8 Β· β±οΈ 06.01.2023):
+- [PyPi](https://pypi.org/project/ftfy) (π₯ 2.9M / month Β· π¦ 610 Β· β±οΈ 09.02.2022):
```
- pip install english-words
+ pip install ftfy
+ ```
+- [Conda](https://anaconda.org/conda-forge/ftfy) (π₯ 270K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge ftfy
```
Dedupe (π₯29 Β· β 3.8K Β· π€) - A python library for accurate and scalable fuzzy matching, record.. MIT
+torchtext (π₯29 Β· β 3.4K Β· π) - Models, data loaders and abstractions for language.. BSD-3
-- [GitHub](https://github.com/dedupeio/dedupe) (π¨βπ» 70 Β· π 520 Β· π¦ 300 Β· π 800 - 9% open Β· β±οΈ 17.02.2023):
+- [GitHub](https://github.com/pytorch/text) (π¨βπ» 150 Β· π 770 Β· π 770 - 33% open Β· β±οΈ 16.10.2023):
```
- git clone https://github.com/dedupeio/dedupe
+ git clone https://github.com/pytorch/text
```
-- [PyPi](https://pypi.org/project/dedupe) (π₯ 71K / month Β· π¦ 49 Β· β±οΈ 17.02.2023):
+- [PyPi](https://pypi.org/project/torchtext) (π₯ 370K / month):
```
- pip install dedupe
+ pip install torchtext
```
-- [Conda](https://anaconda.org/conda-forge/dedupe) (π₯ 40K Β· β±οΈ 16.06.2023):
+PyTextRank (π₯29 Β· β 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT
+
+- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 360 Β· π¦ 490 Β· π 98 - 7% open Β· β±οΈ 22.08.2023):
+
```
- conda install -c conda-forge dedupe
+ git clone https://github.com/DerwenAI/pytextrank
+ ```
+- [PyPi](https://pypi.org/project/pytextrank) (π₯ 65K / month Β· π¦ 17 Β· β±οΈ 07.08.2023):
+ ```
+ pip install pytextrank
```
ftfy (π₯29 Β· β 3.6K Β· π€) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT
+Dedupe (π₯28 Β· β 3.8K Β· π€) - A python library for accurate and scalable fuzzy matching, record.. MIT
-- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 18 Β· π 120 Β· π¦ 14K Β· π 140 - 11% open Β· β±οΈ 25.10.2022):
+- [GitHub](https://github.com/dedupeio/dedupe) (π¨βπ» 70 Β· π 510 Β· π¦ 300 Β· π 800 - 8% open Β· β±οΈ 17.02.2023):
```
- git clone https://github.com/rspeer/python-ftfy
+ git clone https://github.com/dedupeio/dedupe
```
-- [PyPi](https://pypi.org/project/ftfy) (π₯ 3M / month Β· π¦ 610 Β· β±οΈ 09.02.2022):
+- [PyPi](https://pypi.org/project/dedupe) (π₯ 74K / month):
```
- pip install ftfy
+ pip install dedupe
```
-- [Conda](https://anaconda.org/conda-forge/ftfy) (π₯ 270K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/dedupe) (π₯ 40K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge ftfy
+ conda install -c conda-forge dedupe
```
Sumy (π₯28 Β· β 3.3K) - Module for automatic summarization of text documents and HTML pages. Apache-2
-- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 28 Β· π 520 Β· π¦ 2.2K Β· π 120 - 15% open Β· β±οΈ 11.08.2023):
+- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 28 Β· π 510 Β· π¦ 2.2K Β· π 120 - 14% open Β· β±οΈ 11.08.2023):
```
git clone https://github.com/miso-belica/sumy
```
-- [PyPi](https://pypi.org/project/sumy) (π₯ 27K / month Β· π¦ 110 Β· β±οΈ 21.04.2022):
+- [PyPi](https://pypi.org/project/sumy) (π₯ 27K / month):
```
pip install sumy
```
@@ -1963,56 +1948,56 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
DeepKE (π₯28 Β· β 2.4K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT
-- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 28 Β· π 560 Β· π¦ 19 Β· π 320 - 1% open Β· β±οΈ 11.10.2023):
+- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 28 Β· π 560 Β· π¦ 19 Β· π 330 - 0% open Β· β±οΈ 11.10.2023):
```
git clone https://github.com/zjunlp/deepke
```
-- [PyPi](https://pypi.org/project/deepke) (π₯ 460 / month Β· β±οΈ 21.09.2023):
+- [PyPi](https://pypi.org/project/deepke) (π₯ 500 / month Β· β±οΈ 21.09.2023):
```
pip install deepke
```
PyTextRank (π₯28 Β· β 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT
+qdrant (π₯27 Β· β 13K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2
-- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 310 Β· π¦ 480 Β· π 98 - 7% open Β· β±οΈ 22.08.2023):
+- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 70 Β· π 750 Β· π₯ 1.9K Β· π 760 - 18% open Β· β±οΈ 18.10.2023):
```
- git clone https://github.com/DerwenAI/pytextrank
- ```
-- [PyPi](https://pypi.org/project/pytextrank) (π₯ 58K / month):
- ```
- pip install pytextrank
+ git clone https://github.com/qdrant/qdrant
```
qdrant (π₯27 Β· β 13K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2
+fastNLP (π₯27 Β· β 3K Β· π€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
-- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 70 Β· π 740 Β· π₯ 1.7K Β· π 760 - 18% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/fastnlp/fastNLP) (π¨βπ» 61 Β· π 460 Β· π₯ 75 Β· π¦ 160 Β· π 220 - 28% open Β· β±οΈ 13.12.2022):
```
- git clone https://github.com/qdrant/qdrant
+ git clone https://github.com/fastnlp/fastNLP
+ ```
+- [PyPi](https://pypi.org/project/fastnlp) (π₯ 22K / month Β· π¦ 2 Β· β±οΈ 31.10.2022):
+ ```
+ pip install fastnlp
```
fastNLP (π₯27 Β· β 3K Β· π€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
+CLTK (π₯27 Β· β 800 Β· π€) - The Classical Language Toolkit. MIT
-- [GitHub](https://github.com/fastnlp/fastNLP) (π¨βπ» 61 Β· π 460 Β· π₯ 74 Β· π¦ 160 Β· π 220 - 28% open Β· β±οΈ 13.12.2022):
+- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 320 Β· π₯ 42 Β· π¦ 250 Β· π 560 - 7% open Β· β±οΈ 06.03.2023):
```
- git clone https://github.com/fastnlp/fastNLP
+ git clone https://github.com/cltk/cltk
```
-- [PyPi](https://pypi.org/project/fastnlp) (π₯ 21K / month Β· π¦ 2 Β· β±οΈ 31.10.2022):
+- [PyPi](https://pypi.org/project/cltk) (π₯ 1.8K / month):
```
- pip install fastnlp
+ pip install cltk
```
Ciphey (π₯26 Β· β 14K) - Automatically decrypt encryptions without knowing the key or cipher, decode.. MIT
-- [GitHub](https://github.com/Ciphey/Ciphey) (π¨βπ» 48 Β· π 850 Β· π 320 - 17% open Β· β±οΈ 12.10.2023):
+- [GitHub](https://github.com/Ciphey/Ciphey) (π¨βπ» 48 Β· π 860 Β· π 310 - 15% 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₯ 49K / month):
```
pip install ciphey
```
@@ -2021,18 +2006,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
docker pull remnux/ciphey
```
CLTK (π₯26 Β· β 800 Β· π€) - The Classical Language Toolkit. MIT
-
-- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 320 Β· π₯ 42 Β· π¦ 250 Β· π 560 - 7% open Β· β±οΈ 06.03.2023):
-
- ```
- git clone https://github.com/cltk/cltk
- ```
-- [PyPi](https://pypi.org/project/cltk) (π₯ 1K / month):
- ```
- pip install cltk
- ```
-happy-transformer (π₯26 Β· β 470) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 60 Β· π¦ 200 Β· π 130 - 14% open Β· β±οΈ 10.08.2023):
@@ -2040,14 +2013,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/EricFillion/happy-transformer
```
-- [PyPi](https://pypi.org/project/happytransformer) (π₯ 3.4K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
+- [PyPi](https://pypi.org/project/happytransformer) (π₯ 3.6K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
```
pip install happytransformer
```
PyText (π₯25 Β· β 6.4K Β· π€) - A natural language modeling framework based on PyTorch. BSD-3
-- [GitHub](https://github.com/facebookresearch/pytext) (π¨βπ» 230 Β· π 820 Β· π₯ 350 Β· π¦ 19 Β· π 220 - 66% open Β· β±οΈ 17.10.2022):
+- [GitHub](https://github.com/facebookresearch/pytext) (π¨βπ» 230 Β· π 820 Β· π₯ 350 Β· π¦ 21 Β· π 220 - 66% open Β· β±οΈ 17.10.2022):
```
git clone https://github.com/facebookresearch/pytext
@@ -2059,16 +2032,28 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
OpenPrompt (π₯25 Β· β 3.8K) - An Open-Source Framework for Prompt-Learning. Apache-2
-- [GitHub](https://github.com/thunlp/OpenPrompt) (π¨βπ» 22 Β· π 400 Β· π¦ 79 Β· π 240 - 29% open Β· β±οΈ 06.05.2023):
+- [GitHub](https://github.com/thunlp/OpenPrompt) (π¨βπ» 22 Β· π 400 Β· π¦ 80 Β· π 240 - 28% open Β· β±οΈ 06.05.2023):
```
git clone https://github.com/thunlp/OpenPrompt
```
-- [PyPi](https://pypi.org/project/openprompt) (π₯ 2.3K / month Β· π¦ 2 Β· β±οΈ 06.07.2022):
+- [PyPi](https://pypi.org/project/openprompt) (π₯ 2.1K / month):
```
pip install openprompt
```
promptsource (π₯25 Β· β 2.2K) - Toolkit for creating, sharing and using natural language.. Apache-2
+
+- [GitHub](https://github.com/bigscience-workshop/promptsource) (π¨βπ» 65 Β· π 290 Β· π¦ 63 Β· π 200 - 24% open Β· β±οΈ 23.10.2023):
+
+ ```
+ git clone https://github.com/bigscience-workshop/promptsource
+ ```
+- [PyPi](https://pypi.org/project/promptsource) (π₯ 3K / month Β· π¦ 1 Β· β±οΈ 18.04.2022):
+ ```
+ pip install promptsource
+ ```
+scattertext (π₯25 Β· β 2.2K) - Beautiful visualizations of how language differs among document.. Apache-2
- [GitHub](https://github.com/JasonKessler/scattertext) (π¨βπ» 14 Β· π 280 Β· π¦ 440 Β· π 99 - 21% open Β· β±οΈ 05.09.2023):
@@ -2076,7 +2061,7 @@ _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₯ 9.2K / month Β· π¦ 10 Β· β±οΈ 26.03.2022):
+- [PyPi](https://pypi.org/project/scattertext) (π₯ 9.6K / month Β· π¦ 10 Β· β±οΈ 26.03.2022):
```
pip install scattertext
```
@@ -2092,7 +2077,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/explosion/sense2vec
```
-- [PyPi](https://pypi.org/project/sense2vec) (π¦ 13 Β· β±οΈ 19.04.2021):
+- [PyPi](https://pypi.org/project/sense2vec) (π₯ 2K / month Β· π¦ 13 Β· β±οΈ 19.04.2021):
```
pip install sense2vec
```
@@ -2101,6 +2086,18 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge sense2vec
```
english-words (π₯24 Β· β 9.4K Β· π€) - A text file containing 479k English words for all your.. Unlicense
+
+- [GitHub](https://github.com/dwyl/english-words) (π¨βπ» 30 Β· π 1.7K Β· π¦ 2 Β· π 110 - 69% open Β· β±οΈ 08.11.2022):
+
+ ```
+ git clone https://github.com/dwyl/english-words
+ ```
+- [PyPi](https://pypi.org/project/english-words) (π₯ 610K / month):
+ ```
+ pip install english-words
+ ```
+Texthero (π₯24 Β· β 2.8K) - Text preprocessing, representation and visualization from zero to hero. MIT
- [GitHub](https://github.com/jbesomi/texthero) (π¨βπ» 21 Β· π 230 Β· π₯ 120 Β· π 140 - 55% open Β· β±οΈ 29.08.2023):
@@ -2115,48 +2112,36 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pytorch-nlp (π₯24 Β· β 2.2K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3
-- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (π¨βπ» 18 Β· π 260 Β· π¦ 580 Β· π 69 - 27% open Β· β±οΈ 04.07.2023):
+- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (π¨βπ» 18 Β· π 260 Β· π¦ 590 Β· π 69 - 27% open Β· β±οΈ 04.07.2023):
```
git clone https://github.com/PetrochukM/PyTorch-NLP
```
-- [PyPi](https://pypi.org/project/pytorch-nlp) (π₯ 4.2K / month Β· π¦ 19 Β· β±οΈ 04.11.2019):
+- [PyPi](https://pypi.org/project/pytorch-nlp) (π₯ 4.3K / month Β· π¦ 19 Β· β±οΈ 04.11.2019):
```
pip install pytorch-nlp
```
promptsource (π₯24 Β· β 2.2K) - Toolkit for creating, sharing and using natural language.. Apache-2
-
-- [GitHub](https://github.com/bigscience-workshop/promptsource) (π¨βπ» 65 Β· π 290 Β· π¦ 62 Β· π 190 - 25% open Β· β±οΈ 19.10.2023):
-
- ```
- git clone https://github.com/bigscience-workshop/promptsource
- ```
-- [PyPi](https://pypi.org/project/promptsource) (π₯ 3.6K / month Β· π¦ 1 Β· β±οΈ 18.04.2022):
- ```
- pip install promptsource
- ```
-T5 (π₯23 Β· β 5.5K) - 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» 56 Β· π 730 Β· π 450 - 23% open Β· β±οΈ 02.10.2023):
+- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (π¨βπ» 57 Β· π 720 Β· π 400 - 14% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/google-research/text-to-text-transfer-transformer
```
-- [PyPi](https://pypi.org/project/t5) (π₯ 17K / month Β· π¦ 2 Β· β±οΈ 18.10.2021):
+- [PyPi](https://pypi.org/project/t5) (π₯ 24K / month):
```
pip install t5
```
YouTokenToMe (π₯23 Β· β 910 Β· π€) - Unsupervised text tokenizer focused on computational efficiency. MIT
-- [GitHub](https://github.com/VKCOM/YouTokenToMe) (π¨βπ» 8 Β· π 78 Β· π¦ 530 Β· π 59 - 54% open Β· β±οΈ 29.03.2023):
+- [GitHub](https://github.com/VKCOM/YouTokenToMe) (π¨βπ» 8 Β· π 78 Β· π¦ 540 Β· π 59 - 54% open Β· β±οΈ 29.03.2023):
```
git clone https://github.com/vkcom/youtokentome
```
-- [PyPi](https://pypi.org/project/youtokentome) (π₯ 36K / month):
+- [PyPi](https://pypi.org/project/youtokentome) (π₯ 35K / month):
```
pip install youtokentome
```
@@ -2165,9 +2150,9 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge youtokentome
```
detoxify (π₯23 Β· β 720) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
+detoxify (π₯23 Β· β 730) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
-- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 11 Β· π 94 Β· π₯ 290K Β· π¦ 420 Β· π 57 - 57% open Β· β±οΈ 23.08.2023):
+- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 11 Β· π 96 Β· π₯ 300K Β· π¦ 420 Β· π 57 - 57% open Β· β±οΈ 23.08.2023):
```
git clone https://github.com/unitaryai/detoxify
@@ -2184,11 +2169,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/IndicoDataSolutions/finetune
```
-- [PyPi](https://pypi.org/project/finetune) (π₯ 230 / month Β· π¦ 2 Β· β±οΈ 29.09.2023):
+- [PyPi](https://pypi.org/project/finetune) (π₯ 220 / month Β· π¦ 2 Β· β±οΈ 29.09.2023):
```
pip install finetune
```
fast-bert (π₯22 Β· β 1.8K) - Super easy library for BERT based NLP models. Apache-2
+
+- [GitHub](https://github.com/utterworks/fast-bert) (π¨βπ» 36 Β· π 340 Β· π 250 - 62% open Β· β±οΈ 27.07.2023):
+
+ ```
+ git clone https://github.com/utterworks/fast-bert
+ ```
+- [PyPi](https://pypi.org/project/fast-bert) (π₯ 1.3K / month Β· π¦ 2 Β· β±οΈ 27.07.2023):
+ ```
+ pip install fast-bert
+ ```
+jiant (π₯22 Β· β 1.6K Β· π€) - jiant is an nlp toolkit. MIT
- [GitHub](https://github.com/nyu-mll/jiant) (π¨βπ» 60 Β· π 290 Β· π¦ 3 Β· π 550 - 12% open Β· β±οΈ 17.10.2022):
@@ -2196,63 +2193,39 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/nyu-mll/jiant
```
-- [PyPi](https://pypi.org/project/jiant) (π₯ 62 / month Β· β±οΈ 10.05.2021):
+- [PyPi](https://pypi.org/project/jiant) (π₯ 63 / month):
```
pip install jiant
```
Sockeye (π₯22 Β· β 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
-- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 60 Β· π 330 Β· π₯ 17 Β· π 300 - 0% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 60 Β· π 330 Β· π₯ 17 Β· π 300 - 1% open Β· β±οΈ 17.10.2023):
```
git clone https://github.com/awslabs/sockeye
```
-- [PyPi](https://pypi.org/project/sockeye) (π₯ 400 / month Β· π¦ 2 Β· β±οΈ 12.06.2017):
+- [PyPi](https://pypi.org/project/sockeye) (π₯ 420 / month Β· π¦ 2 Β· β±οΈ 12.06.2017):
```
pip install sockeye
```
small-text (π₯22 Β· β 500) - Active Learning for Text Classification in Python. MIT
+small-text (π₯21 Β· β 500) - Active Learning for Text Classification in Python. MIT
-- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 4 Β· π 52 Β· π¦ 21 Β· π 41 - 24% open Β· β±οΈ 19.08.2023):
+- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 4 Β· π 52 Β· π¦ 23 Β· π 42 - 26% open Β· β±οΈ 19.08.2023):
```
git clone https://github.com/webis-de/small-text
```
-- [PyPi](https://pypi.org/project/small-text) (π₯ 340 / month Β· β±οΈ 19.08.2023):
+- [PyPi](https://pypi.org/project/small-text) (π₯ 380 / month Β· β±οΈ 19.08.2023):
```
pip install small-text
```
-- [Conda](https://anaconda.org/conda-forge/small-text) (π₯ 4.5K Β· β±οΈ 19.08.2023):
+- [Conda](https://anaconda.org/conda-forge/small-text) (π₯ 4.6K Β· β±οΈ 19.08.2023):
```
conda install -c conda-forge small-text
```
fast-bert (π₯21 Β· β 1.8K) - Super easy library for BERT based NLP models. Apache-2
-
-- [GitHub](https://github.com/utterworks/fast-bert) (π¨βπ» 36 Β· π 340 Β· π 250 - 62% open Β· β±οΈ 27.07.2023):
-
- ```
- git clone https://github.com/utterworks/fast-bert
- ```
-- [PyPi](https://pypi.org/project/fast-bert) (π₯ 1.1K / month Β· π¦ 2 Β· β±οΈ 27.07.2023):
- ```
- pip install fast-bert
- ```
-lightseq (π₯20 Β· β 2.9K) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2
-
-- [GitHub](https://github.com/bytedance/lightseq) (π¨βπ» 17 Β· π 300 Β· π₯ 670 Β· π 280 - 60% open Β· β±οΈ 10.05.2023):
-
- ```
- git clone https://github.com/bytedance/lightseq
- ```
-- [PyPi](https://pypi.org/project/lightseq) (π₯ 1.7K / month Β· π¦ 2 Β· β±οΈ 03.11.2022):
- ```
- pip install lightseq
- ```
-NLP Architect (π₯20 Β· β 2.9K Β· π€) - A model library for exploring state-of-the-art deep.. Apache-2
- [GitHub](https://github.com/IntelLabs/nlp-architect) (π¨βπ» 38 Β· π 440 Β· π¦ 9 Β· π 130 - 11% open Β· β±οΈ 07.11.2022):
@@ -2260,38 +2233,38 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/IntelLabs/nlp-architect
```
-- [PyPi](https://pypi.org/project/nlp-architect) (π₯ 71 / month):
+- [PyPi](https://pypi.org/project/nlp-architect) (π₯ 66 / month):
```
pip install nlp-architect
```
UForm (π₯19 Β· β 430) - Multi-Modal AI library for Multi-Lingual Text, Image, and Video.. Apache-2
-- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 9 Β· π 20 Β· π¦ 7 Β· β±οΈ 13.10.2023):
+- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 9 Β· π 20 Β· π¦ 7 Β· π 8 - 12% open Β· β±οΈ 13.10.2023):
```
git clone https://github.com/unum-cloud/uform
```
-- [PyPi](https://pypi.org/project/uform) (π₯ 900 / month Β· β±οΈ 13.10.2023):
+- [PyPi](https://pypi.org/project/uform) (π₯ 830 / month Β· β±οΈ 13.10.2023):
```
pip install uform
```
textaugment (π₯19 Β· β 340) - TextAugment: Text Augmentation Library. MIT
-- [GitHub](https://github.com/dsfsi/textaugment) (π¨βπ» 8 Β· π 56 Β· π₯ 61 Β· π¦ 64 Β· π 22 - 40% open Β· β±οΈ 12.09.2023):
+- [GitHub](https://github.com/dsfsi/textaugment) (π¨βπ» 8 Β· π 56 Β· π₯ 62 Β· π¦ 64 Β· π 20 - 35% open Β· β±οΈ 12.09.2023):
```
git clone https://github.com/dsfsi/textaugment
```
-- [PyPi](https://pypi.org/project/textaugment) (π₯ 3.5K / month Β· π¦ 4 Β· β±οΈ 05.11.2020):
+- [PyPi](https://pypi.org/project/textaugment) (π₯ 3.4K / month):
```
pip install textaugment
```
OpenNRE (π₯16 Β· β 4.1K Β· π€) - An Open-Source Package for Neural Relation Extraction (NRE). MIT
-- [GitHub](https://github.com/thunlp/OpenNRE) (π¨βπ» 12 Β· π 1K Β· π 360 - 2% open Β· β±οΈ 03.01.2023):
+- [GitHub](https://github.com/thunlp/OpenNRE) (π¨βπ» 12 Β· π 980 Β· π 360 - 2% open Β· β±οΈ 03.01.2023):
```
git clone https://github.com/thunlp/OpenNRE
@@ -2299,69 +2272,70 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
TextBox (π₯15 Β· β 1K) - TextBox 2.0 is a text generation library with pre-trained language models. MIT
-- [GitHub](https://github.com/RUCAIBox/TextBox) (π¨βπ» 18 Β· π 120 Β· π¦ 5 Β· π 70 - 4% open Β· β±οΈ 18.05.2023):
+- [GitHub](https://github.com/RUCAIBox/TextBox) (π¨βπ» 18 Β· π 120 Β· π¦ 5 Β· π 69 - 2% open Β· β±οΈ 18.05.2023):
```
git clone https://github.com/RUCAIBox/TextBox
```
-- [PyPi](https://pypi.org/project/textbox) (π₯ 1 / month Β· β±οΈ 15.04.2021):
+- [PyPi](https://pypi.org/project/textbox) (π₯ 1 / month):
```
pip install textbox
```
VizSeq (π₯14 Β· β 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
-- [GitHub](https://github.com/facebookresearch/vizseq) (π¨βπ» 3 Β· π 57 Β· π¦ 7 Β· π 16 - 43% open Β· β±οΈ 10.10.2023):
+- [GitHub](https://github.com/facebookresearch/vizseq) (π¨βπ» 3 Β· π 57 Β· π¦ 7 Β· π 16 - 43% open Β· β±οΈ 19.10.2023):
```
git clone https://github.com/facebookresearch/vizseq
```
-- [PyPi](https://pypi.org/project/vizseq) (π₯ 39 / month Β· β±οΈ 07.08.2020):
+- [PyPi](https://pypi.org/project/vizseq) (π₯ 40 / month Β· β±οΈ 07.08.2020):
```
pip install vizseq
```
Show 39 hidden projects...
+Show 40 hidden projects...
- ChatterBot (π₯35 Β· β 14K Β· π) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3
- fuzzywuzzy (π₯33 Β· β 9K Β· π) - Fuzzy String Matching in Python. βοΈGPL-2.0
- nlpaug (π₯29 Β· β 4.1K Β· π) - Data augmentation for NLP. MIT
- textacy (π₯29 Β· β 2.1K) - NLP, before and after spaCy. βUnlicensed
- langid (π₯28 Β· β 2.2K Β· π) - Stand-alone language identification system. BSD-3
-- underthesea (π₯28 Β· β 1.2K) - Underthesea - Vietnamese NLP Toolkit. βοΈGPL-3.0
-- flashtext (π₯27 Β· β 5.5K Β· π) - Extract Keywords from sentence or Replace keywords in sentences. MIT
-- vaderSentiment (π₯27 Β· β 4.1K Β· π) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
-- polyglot (π₯27 Β· β 2.2K Β· π) - Multilingual text (NLP) processing toolkit. βοΈGPL-3.0
-- FARM (π₯27 Β· β 1.7K Β· π) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 MIT
+- FARM (π₯27 Β· β 1.7K Β· π) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 βοΈGPL-3.0
+- vaderSentiment (π₯25 Β· β 4.1K Β· π) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
- Snips NLU (π₯25 Β· β 3.8K Β· π) - Snips Python library to extract meaning from text. Apache-2
- neuralcoref (π₯25 Β· β 2.8K Β· π) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
- pySBD (π₯25 Β· β 670 Β· π) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
- whoosh (π₯25 Β· β 460 Β· π) - Pure-Python full-text search library. βοΈBSD-1-Clause
-- textgenrnn (π₯24 Β· β 4.9K Β· π) - Easily train your own text-generating neural network of any.. MIT Apache-2 Apache-2 Apache-2 BSD-3
-- gpt-2-simple (π₯22 Β· β 3.3K Β· π) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT βUnlicensed
+- textgenrnn (π₯22 Β· β 4.9K Β· π) - Easily train your own text-generating neural network.. βUnlicensed Apache-2 BSD-3
- DELTA (π₯21 Β· β 1.6K Β· π) - DELTA is a deep learning based natural language and speech.. Apache-2 MIT βοΈGPL-3.0
-- numerizer (π₯20 Β· β 210) - A Python module to convert natural language numerics into ints and.. MIT
-- NeuroNER (π₯17 Β· β 1.7K Β· π) - Named-entity recognition using neural networks. Easy-to-use and.. MIT
-- nboost (π₯17 Β· β 670 Β· π) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2
-- fastT5 (π₯17 Β· β 500 Β· π) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
+- gpt-2-simple (π₯19 Β· β 3.3K Β· π) - Python package to easily retrain OpenAIs GPT-2 text-.. βUnlicensed MIT
+- lightseq (π₯18 Β· β 3K) - LightSeq: A High Performance Library for Sequence Processing and.. βUnlicensed
+- textpipe (π₯18 Β· β 300 Β· π) - Textpipe: clean and extract metadata from text. MIT
+- DeepMatcher (π₯17 Β· β 510 Β· π) - Python package for performing Entity and Text Matching using.. BSD-3
- Camphr (π₯17 Β· β 340 Β· π) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy
-- skift (π₯17 Β· β 230 Β· π) - scikit-learn wrappers for Python fastText. MIT MIT
+- fastT5 (π₯16 Β· β 510 Β· π) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
+- skift (π₯16 Β· β 230 Β· π) - scikit-learn wrappers for Python fastText. MIT MIT
- BLINK (π₯15 Β· β 1.1K Β· π) - Entity Linker solution. MIT
-- Translate (π₯15 Β· β 800 Β· π) - Translate - a PyTorch Language Library. BSD-3 BSD-3 Apache-2
+- Headliner (π₯14 Β· β 230 Β· π) - Easy training and deployment of seq2seq models. MIT
- NeuralQA (π₯14 Β· β 220 Β· π) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT
- TransferNLP (π₯13 Β· β 290 Β· π) - NLP library designed for reproducible experimentation.. MIT Apache-2
-- textvec (π₯13 Β· β 190 Β· π) - Text vectorization tool to outperform TFIDF for classification.. MIT MIT MIT spacy
-- Headliner (π₯10 Β· β 230 Β· π) - Easy training and deployment of seq2seq models. βUnlicensed
@@ -2373,48 +2347,32 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (π₯47 Β· β 11K) - Python Imaging Library (Fork). βοΈPIL
-- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 450 Β· π 1.9K Β· π¦ 1.4M Β· π 2.9K - 2% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 450 Β· π 2.1K Β· π¦ 1.4M Β· π 3K - 3% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/python-pillow/Pillow
```
-- [PyPi](https://pypi.org/project/Pillow) (π₯ 69M / month):
+- [PyPi](https://pypi.org/project/Pillow) (π₯ 70M / month Β· π¦ 67K Β· β±οΈ 15.10.2023):
```
- pip install Pillow
- ```
-- [Conda](https://anaconda.org/conda-forge/pillow) (π₯ 34M Β· β±οΈ 16.10.2023):
- ```
- conda install -c conda-forge pillow
- ```
-torchvision (π₯42 Β· β 15K Β· π) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
-
-- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 560 Β· π 6.8K Β· π₯ 32K Β· π¦ 19 Β· π 3.2K - 29% open Β· β±οΈ 18.10.2023):
-
- ```
- git clone https://github.com/pytorch/vision
- ```
-- [PyPi](https://pypi.org/project/torchvision) (π₯ 8.7M / month Β· π¦ 4.7K Β· β±οΈ 04.10.2023):
- ```
- pip install torchvision
+ pip install Pillow
```
-- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 890K Β· β±οΈ 02.10.2023):
+- [Conda](https://anaconda.org/conda-forge/pillow) (π₯ 34M Β· β±οΈ 16.10.2023):
```
- conda install -c conda-forge torchvision
+ conda install -c conda-forge pillow
```
PyTorch Image Models (π₯41 Β· β 27K) - PyTorch image models, scripts, pretrained weights --.. Apache-2
-- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 120 Β· π 4.3K Β· π₯ 5.6M Β· π¦ 17K Β· π 810 - 8% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 120 Β· π 4.2K Β· π₯ 5.6M Β· π¦ 18K Β· π 810 - 8% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/rwightman/pytorch-image-models
```
-- [PyPi](https://pypi.org/project/timm) (π₯ 3.3M / month Β· π¦ 290 Β· β±οΈ 02.09.2023):
+- [PyPi](https://pypi.org/project/timm) (π₯ 3.3M / month):
```
pip install timm
```
-- [Conda](https://anaconda.org/conda-forge/timm) (π₯ 100K Β· β±οΈ 05.09.2023):
+- [Conda](https://anaconda.org/conda-forge/timm) (π₯ 110K Β· β±οΈ 21.10.2023):
```
conda install -c conda-forge timm
```
@@ -2431,30 +2389,46 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install mmdet
```
torchvision (π₯38 Β· β 15K Β· π) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
+
+- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 560 Β· π 6.6K Β· π₯ 32K Β· π¦ 21 Β· π 3K - 24% open Β· β±οΈ 23.10.2023):
+
+ ```
+ git clone https://github.com/pytorch/vision
+ ```
+- [PyPi](https://pypi.org/project/torchvision) (π₯ 9.2M / month):
+ ```
+ pip install torchvision
+ ```
+- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 900K Β· β±οΈ 02.10.2023):
+ ```
+ conda install -c conda-forge torchvision
+ ```
+Kornia (π₯38 Β· β 8.7K) - Computer Vision and Robotics Library for AI. Apache-2
-- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 240 Β· π 870 Β· π₯ 840 Β· π¦ 6.7K Β· π 840 - 29% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 240 Β· π 870 Β· π₯ 850 Β· π¦ 6.8K Β· π 820 - 27% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/kornia/kornia
```
-- [PyPi](https://pypi.org/project/kornia) (π₯ 2M / month Β· π¦ 110 Β· β±οΈ 02.08.2023):
+- [PyPi](https://pypi.org/project/kornia) (π₯ 2M / month):
```
pip install kornia
```
-- [Conda](https://anaconda.org/conda-forge/kornia) (π₯ 100K Β· β±οΈ 04.08.2023):
+- [Conda](https://anaconda.org/conda-forge/kornia) (π₯ 110K Β· β±οΈ 04.08.2023):
```
conda install -c conda-forge kornia
```
imageio (π₯38 Β· β 1.3K) - Python library for reading and writing image data. BSD-2
-- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 110 Β· π 270 Β· π₯ 870 Β· π¦ 100K Β· π 570 - 16% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 110 Β· π 270 Β· π₯ 870 Β· π¦ 100K Β· π 580 - 16% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/imageio/imageio
```
-- [PyPi](https://pypi.org/project/imageio) (π₯ 18M / month Β· π¦ 3K Β· β±οΈ 02.10.2023):
+- [PyPi](https://pypi.org/project/imageio) (π₯ 18M / month Β· π¦ 3K Β· β±οΈ 23.10.2023):
```
pip install imageio
```
@@ -2463,14 +2437,26 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge imageio
```
InsightFace (π₯37 Β· β 19K Β· π) - State-of-the-art 2D and 3D Face Analysis Project. MIT
+
+- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 57 Β· π 4.7K Β· π₯ 810K Β· π¦ 1.1K Β· π 2.3K - 41% open Β· β±οΈ 10.09.2023):
+
+ ```
+ git clone https://github.com/deepinsight/insightface
+ ```
+- [PyPi](https://pypi.org/project/insightface) (π₯ 430K / month Β· π¦ 11 Β· β±οΈ 17.12.2022):
+ ```
+ pip install insightface
+ ```
+MoviePy (π₯37 Β· β 11K) - Video editing with Python. MIT
-- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 160 Β· π 1.4K Β· π¦ 30K Β· π 1.4K - 25% open Β· β±οΈ 11.07.2023):
+- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 160 Β· π 1.4K Β· π¦ 30K Β· π 1.4K - 27% open Β· β±οΈ 11.07.2023):
```
git clone https://github.com/Zulko/moviepy
```
-- [PyPi](https://pypi.org/project/moviepy) (π₯ 690K / month):
+- [PyPi](https://pypi.org/project/moviepy) (π₯ 690K / month Β· π¦ 940 Β· β±οΈ 15.12.2021):
```
pip install moviepy
```
@@ -2481,12 +2467,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Albumentations (π₯35 Β· β 13K) - Fast image augmentation library and an easy-to-use wrapper.. MIT
-- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 130 Β· π 1.5K Β· π¦ 18K Β· π 790 - 46% open Β· β±οΈ 30.09.2023):
+- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 130 Β· π 1.5K Β· π¦ 18K Β· π 800 - 46% open Β· β±οΈ 30.09.2023):
```
git clone https://github.com/albumentations-team/albumentations
```
-- [PyPi](https://pypi.org/project/albumentations) (π₯ 1M / month):
+- [PyPi](https://pypi.org/project/albumentations) (π₯ 1M / month Β· π¦ 300 Β· β±οΈ 10.06.2023):
```
pip install albumentations
```
@@ -2495,51 +2481,51 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge albumentations
```
detectron2 (π₯34 Β· β 27K) - Detectron2 is a platform for object detection, segmentation.. Apache-2
+Wand (π₯34 Β· β 1.3K) - The ctypes-based simple ImageMagick binding for Python. MIT
-- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 260 Β· π 6.7K Β· π¦ 1.4K Β· π 3.4K - 10% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 100 Β· π 200 Β· π₯ 28K Β· π¦ 17K Β· π 400 - 4% open Β· β±οΈ 21.09.2023):
```
- git clone https://github.com/facebookresearch/detectron2
+ git clone https://github.com/emcconville/wand
```
-- [PyPi](https://pypi.org/project/detectron2) (π¦ 6 Β· β±οΈ 06.02.2020):
+- [PyPi](https://pypi.org/project/wand) (π₯ 850K / month):
```
- pip install detectron2
+ pip install wand
```
-- [Conda](https://anaconda.org/conda-forge/detectron2) (π₯ 210K Β· β±οΈ 23.06.2023):
+- [Conda](https://anaconda.org/conda-forge/wand) (π₯ 33K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge detectron2
+ conda install -c conda-forge wand
```
Wand (π₯34 Β· β 1.3K) - The ctypes-based simple ImageMagick binding for Python. MIT
+detectron2 (π₯33 Β· β 27K) - Detectron2 is a platform for object detection, segmentation.. Apache-2
-- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 100 Β· π 200 Β· π₯ 27K Β· π¦ 17K Β· π 410 - 5% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 260 Β· π 6.7K Β· π¦ 1.4K Β· π 3.4K - 10% open Β· β±οΈ 16.10.2023):
```
- git clone https://github.com/emcconville/wand
+ git clone https://github.com/facebookresearch/detectron2
```
-- [PyPi](https://pypi.org/project/wand) (π₯ 850K / month Β· π¦ 710 Β· β±οΈ 05.01.2023):
+- [PyPi](https://pypi.org/project/detectron2):
```
- pip install wand
+ pip install detectron2
```
-- [Conda](https://anaconda.org/conda-forge/wand) (π₯ 32K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/detectron2) (π₯ 210K Β· β±οΈ 23.06.2023):
```
- conda install -c conda-forge wand
+ conda install -c conda-forge detectron2
```
PaddleSeg (π₯33 Β· β 7.7K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (π¨βπ» 120 Β· π 1.6K Β· π¦ 1K Β· π 1.9K - 16% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (π¨βπ» 120 Β· π 1.6K Β· π¦ 1K Β· π 1.9K - 17% open Β· β±οΈ 18.10.2023):
```
git clone https://github.com/PaddlePaddle/PaddleSeg
```
-- [PyPi](https://pypi.org/project/paddleseg) (π₯ 1.9K / month Β· π¦ 4 Β· β±οΈ 30.11.2022):
+- [PyPi](https://pypi.org/project/paddleseg) (π₯ 2K / month Β· π¦ 4 Β· β±οΈ 30.11.2022):
```
pip install paddleseg
```
opencv-python (π₯33 Β· β 3.8K Β· π) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
+opencv-python (π₯33 Β· β 3.8K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 48 Β· π 740 Β· π 710 - 10% open Β· β±οΈ 18.10.2023):
@@ -2551,33 +2537,49 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install opencv-python
```
deepface (π₯32 Β· β 7.7K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
+
+- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 47 Β· π 1.5K Β· π¦ 2K Β· π 780 - 1% open Β· β±οΈ 25.10.2023):
+
+ ```
+ git clone https://github.com/serengil/deepface
+ ```
+- [PyPi](https://pypi.org/project/deepface) (π₯ 83K / month Β· π¦ 14 Β· β±οΈ 24.01.2023):
+ ```
+ pip install deepface
+ ```
+PaddleDetection (π₯31 Β· β 11K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 150 Β· π 2.7K Β· π¦ 110 Β· π 5.1K - 24% open Β· β±οΈ 27.09.2023):
+- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 150 Β· π 2.7K Β· π¦ 120 Β· π 5.1K - 24% open Β· β±οΈ 27.09.2023):
```
git clone https://github.com/PaddlePaddle/PaddleDetection
```
-- [PyPi](https://pypi.org/project/paddledet) (π₯ 640 / month):
+- [PyPi](https://pypi.org/project/paddledet) (π₯ 600 / month):
```
pip install paddledet
```
deepface (π₯31 Β· β 7.7K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
+ImageHash (π₯31 Β· β 2.9K) - A Python Perceptual Image Hashing Module. BSD-2
-- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 46 Β· π 1.5K Β· π¦ 2K Β· π 780 - 1% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/JohannesBuchner/imagehash) (π¨βπ» 26 Β· π 320 Β· π¦ 11K Β· π 130 - 7% open Β· β±οΈ 24.10.2023):
```
- git clone https://github.com/serengil/deepface
+ git clone https://github.com/JohannesBuchner/imagehash
```
-- [PyPi](https://pypi.org/project/deepface) (π₯ 57K / month Β· π¦ 14 Β· β±οΈ 24.01.2023):
+- [PyPi](https://pypi.org/project/ImageHash) (π₯ 1.4M / month Β· π¦ 380 Β· β±οΈ 28.09.2022):
```
- pip install deepface
+ pip install ImageHash
+ ```
+- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 340K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge imagehash
```
doctr (π₯31 Β· β 2.2K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
-- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 39 Β· π 280 Β· π₯ 1.9M Β· π¦ 200 Β· π 280 - 14% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 39 Β· π 280 Β· π₯ 2M Β· π¦ 200 Β· π 280 - 14% open Β· β±οΈ 20.10.2023):
```
git clone https://github.com/mindee/doctr
@@ -2589,106 +2591,90 @@ _Libraries for image & video processing, manipulation, and augmentation as well
vit-pytorch (π₯30 Β· β 16K) - Implementation of Vision Transformer, a simple way to achieve.. MIT
-- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 19 Β· π 2.5K Β· π¦ 320 Β· π 240 - 46% open Β· β±οΈ 13.10.2023):
+- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 20 Β· π 2.5K Β· π¦ 330 Β· π 240 - 46% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/lucidrains/vit-pytorch
```
-- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 17K / month Β· π¦ 6 Β· β±οΈ 13.10.2023):
+- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 18K / month Β· π¦ 6 Β· β±οΈ 25.10.2023):
```
pip install vit-pytorch
```
vidgear (π₯30 Β· β 3K) - A High-performance cross-platform Video Processing Python framework.. Apache-2
-
-- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 14 Β· π 230 Β· π₯ 930 Β· π¦ 460 Β· π 270 - 1% open Β· β±οΈ 10.09.2023):
-
- ```
- git clone https://github.com/abhiTronix/vidgear
- ```
-- [PyPi](https://pypi.org/project/vidgear) (π₯ 13K / month Β· π¦ 9 Β· β±οΈ 10.09.2023):
- ```
- pip install vidgear
- ```
-ImageHash (π₯30 Β· β 2.9K) - A Python Perceptual Image Hashing Module. BSD-2
+imageai (π₯30 Β· β 8.1K) - A python library built to empower developers to build applications and.. MIT
-- [GitHub](https://github.com/JohannesBuchner/imagehash) (π¨βπ» 25 Β· π 320 Β· π¦ 11K Β· π 130 - 7% open Β· β±οΈ 05.08.2023):
+- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (π¨βπ» 19 Β· π 2.1K Β· π₯ 890K Β· π¦ 1.5K Β· π 740 - 39% open Β· β±οΈ 26.08.2023):
```
- git clone https://github.com/JohannesBuchner/imagehash
+ git clone https://github.com/OlafenwaMoses/ImageAI
```
-- [PyPi](https://pypi.org/project/ImageHash) (π₯ 1.4M / month Β· π¦ 380 Β· β±οΈ 28.09.2022):
+- [PyPi](https://pypi.org/project/imageai) (π₯ 7.4K / month Β· π¦ 18 Β· β±οΈ 02.01.2023):
```
- pip install ImageHash
+ pip install imageai
```
-- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 340K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/imageai) (π₯ 6.5K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge imagehash
+ conda install -c conda-forge imageai
```
lightly (π₯30 Β· β 2.6K) - A python library for self-supervised learning on images. MIT
-- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 33 Β· π 220 Β· π¦ 170 Β· π 470 - 18% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 33 Β· π 220 Β· π¦ 180 Β· π 470 - 18% open Β· β±οΈ 19.10.2023):
```
git clone https://github.com/lightly-ai/lightly
```
-- [PyPi](https://pypi.org/project/lightly) (π₯ 55K / month Β· π¦ 5 Β· β±οΈ 04.10.2023):
+- [PyPi](https://pypi.org/project/lightly) (π₯ 53K / month Β· π¦ 5 Β· β±οΈ 04.10.2023):
```
pip install lightly
```
imageai (π₯29 Β· β 8.1K) - A python library built to empower developers to build applications and.. MIT
+Face Alignment (π₯29 Β· β 6.6K) - 2D and 3D Face alignment library build using pytorch. BSD-3
-- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (π¨βπ» 19 Β· π 2.1K Β· π₯ 890K Β· π¦ 1.5K Β· π 730 - 38% open Β· β±οΈ 26.08.2023):
+- [GitHub](https://github.com/1adrianb/face-alignment) (π¨βπ» 26 Β· π 1.3K Β· π¦ 21 Β· π 300 - 22% open Β· β±οΈ 16.08.2023):
```
- git clone https://github.com/OlafenwaMoses/ImageAI
- ```
-- [PyPi](https://pypi.org/project/imageai) (π₯ 7.1K / month):
- ```
- pip install imageai
+ git clone https://github.com/1adrianb/face-alignment
```
-- [Conda](https://anaconda.org/conda-forge/imageai) (π₯ 6.5K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/face-alignment) (π₯ 60K / month):
```
- conda install -c conda-forge imageai
+ pip install face-alignment
```
Face Alignment (π₯29 Β· β 6.5K) - 2D and 3D Face alignment library build using pytorch. BSD-3
+vidgear (π₯29 Β· β 3K) - A High-performance cross-platform Video Processing Python framework.. Apache-2
-- [GitHub](https://github.com/1adrianb/face-alignment) (π¨βπ» 26 Β· π 1.3K Β· π¦ 19 Β· π 310 - 24% open Β· β±οΈ 16.08.2023):
+- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 14 Β· π 230 Β· π₯ 940 Β· π¦ 470 Β· π 270 - 1% open Β· β±οΈ 10.09.2023):
```
- git clone https://github.com/1adrianb/face-alignment
+ git clone https://github.com/abhiTronix/vidgear
```
-- [PyPi](https://pypi.org/project/face-alignment) (π₯ 54K / month Β· π¦ 10 Β· β±οΈ 17.08.2023):
+- [PyPi](https://pypi.org/project/vidgear) (π₯ 11K / month Β· π¦ 9 Β· β±οΈ 10.09.2023):
```
- pip install face-alignment
+ pip install vidgear
```
GluonCV (π₯28 Β· β 5.6K Β· π€) - Gluon CV Toolkit. Apache-2
+CellProfiler (π₯29 Β· β 810) - An open-source application for biological image analysis. BSD-3
-- [GitHub](https://github.com/dmlc/gluon-cv) (π¨βπ» 120 Β· π 1.2K Β· π¦ 19 Β· π 840 - 7% open Β· β±οΈ 19.01.2023):
+- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 140 Β· π 360 Β· π₯ 6K Β· π¦ 20 Β· π 3.2K - 8% open Β· β±οΈ 26.09.2023):
```
- git clone https://github.com/dmlc/gluon-cv
+ git clone https://github.com/CellProfiler/CellProfiler
```
-- [PyPi](https://pypi.org/project/gluoncv) (π₯ 49K / month Β· π¦ 61 Β· β±οΈ 07.07.2022):
+- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 500 / month Β· π¦ 1 Β· β±οΈ 14.08.2023):
```
- pip install gluoncv
+ pip install cellprofiler
```
CellProfiler (π₯28 Β· β 810) - An open-source application for biological image analysis. BSD-3
+GluonCV (π₯27 Β· β 5.6K Β· π€) - Gluon CV Toolkit. Apache-2
-- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 140 Β· π 360 Β· π₯ 6K Β· π¦ 20 Β· π 3.2K - 8% open Β· β±οΈ 26.09.2023):
+- [GitHub](https://github.com/dmlc/gluon-cv) (π¨βπ» 120 Β· π 1.2K Β· π¦ 21 Β· π 840 - 7% open Β· β±οΈ 19.01.2023):
```
- git clone https://github.com/CellProfiler/CellProfiler
+ git clone https://github.com/dmlc/gluon-cv
```
-- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 590 / month Β· π¦ 1 Β· β±οΈ 14.08.2023):
+- [PyPi](https://pypi.org/project/gluoncv) (π₯ 51K / month):
```
- pip install cellprofiler
+ pip install gluoncv
```
Augmentor (π₯27 Β· β 5K Β· π€) - Image augmentation library in Python for machine learning. MIT
@@ -2698,19 +2684,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/mdbloice/Augmentor
```
-- [PyPi](https://pypi.org/project/Augmentor) (π₯ 11K / month Β· π¦ 29 Β· β±οΈ 27.04.2022):
+- [PyPi](https://pypi.org/project/Augmentor) (π₯ 12K / month Β· π¦ 29 Β· β±οΈ 27.04.2022):
```
pip install Augmentor
```
sahi (π₯27 Β· β 3.1K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
-- [GitHub](https://github.com/obss/sahi) (π¨βπ» 31 Β· π 460 Β· π₯ 19K Β· π¦ 680 Β· β±οΈ 26.08.2023):
+- [GitHub](https://github.com/obss/sahi) (π¨βπ» 31 Β· π 460 Β· π₯ 19K Β· π¦ 690 Β· β±οΈ 26.08.2023):
```
git clone https://github.com/obss/sahi
```
-- [PyPi](https://pypi.org/project/sahi) (π₯ 120K / month Β· π¦ 9 Β· β±οΈ 25.06.2022):
+- [PyPi](https://pypi.org/project/sahi) (π₯ 110K / month Β· π¦ 9 Β· β±οΈ 25.06.2022):
```
pip install sahi
```
@@ -2726,7 +2712,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/luispedro/mahotas
```
-- [PyPi](https://pypi.org/project/mahotas) (π₯ 8.3K / month Β· π¦ 130 Β· β±οΈ 28.06.2022):
+- [PyPi](https://pypi.org/project/mahotas) (π₯ 8.5K / month Β· π¦ 130 Β· β±οΈ 28.06.2022):
```
pip install mahotas
```
@@ -2737,24 +2723,24 @@ _Libraries for image & video processing, manipulation, and augmentation as well
facenet-pytorch (π₯26 Β· β 3.8K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
-- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 16 Β· π 800 Β· π₯ 690K Β· π¦ 1.3K Β· π 170 - 36% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 16 Β· π 800 Β· π₯ 700K Β· π¦ 1.3K Β· π 170 - 36% open Β· β±οΈ 20.09.2023):
```
git clone https://github.com/timesler/facenet-pytorch
```
-- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 27K / month Β· π¦ 19 Β· β±οΈ 10.03.2021):
+- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 28K / month Β· π¦ 19 Β· β±οΈ 10.03.2021):
```
pip install facenet-pytorch
```
pytorchvideo (π₯26 Β· β 3K) - A deep learning library for video understanding research. Apache-2
+pytorchvideo (π₯25 Β· β 3K) - A deep learning library for video understanding research. Apache-2
- [GitHub](https://github.com/facebookresearch/pytorchvideo) (π¨βπ» 55 Β· π 360 Β· π 190 - 46% open Β· β±οΈ 20.09.2023):
```
git clone https://github.com/facebookresearch/pytorchvideo
```
-- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 84K / month Β· π¦ 7 Β· β±οΈ 20.01.2022):
+- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 76K / month Β· π¦ 7 Β· β±οΈ 20.01.2022):
```
pip install pytorchvideo
```
@@ -2766,83 +2752,83 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/tryolabs/norfair
```
-- [PyPi](https://pypi.org/project/norfair) (π₯ 5.7K / month Β· π¦ 3 Β· β±οΈ 30.05.2022):
+- [PyPi](https://pypi.org/project/norfair) (π₯ 6.1K / month Β· π¦ 3 Β· β±οΈ 30.05.2022):
```
pip install norfair
```
Image Deduplicator (π₯24 Β· β 4.7K) - Finding duplicate images made easy!. Apache-2
+kubric (π₯25 Β· β 2K) - A data generation pipeline for creating semi-realistic synthetic multi-.. Apache-2
-- [GitHub](https://github.com/idealo/imagededup) (π¨βπ» 15 Β· π 420 Β· π¦ 64 Β· π 140 - 35% open Β· β±οΈ 28.04.2023):
+- [GitHub](https://github.com/google-research/kubric) (π¨βπ» 25 Β· π 180 Β· π¦ 3 Β· π 180 - 30% open Β· β±οΈ 16.10.2023):
```
- git clone https://github.com/idealo/imagededup
+ git clone https://github.com/google-research/kubric
```
-- [PyPi](https://pypi.org/project/imagededup) (π₯ 3.6K / month Β· π¦ 5 Β· β±οΈ 28.04.2023):
+- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 4.8K / month Β· β±οΈ 26.10.2023):
```
- pip install imagededup
+ pip install kubric-nightly
```
pyvips (π₯24 Β· β 550) - python binding for libvips using cffi. MIT
+Image Deduplicator (π₯24 Β· β 4.7K) - Finding duplicate images made easy!. Apache-2
-- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 48 Β· π¦ 600 Β· π 380 - 40% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/idealo/imagededup) (π¨βπ» 15 Β· π 430 Β· π¦ 67 Β· π 120 - 23% open Β· β±οΈ 28.04.2023):
```
- git clone https://github.com/libvips/pyvips
- ```
-- [PyPi](https://pypi.org/project/pyvips) (π₯ 51K / month Β· π¦ 46 Β· β±οΈ 12.06.2022):
- ```
- pip install pyvips
+ git clone https://github.com/idealo/imagededup
```
-- [Conda](https://anaconda.org/conda-forge/pyvips) (π₯ 68K Β· β±οΈ 26.09.2023):
+- [PyPi](https://pypi.org/project/imagededup) (π₯ 5.9K / month):
```
- conda install -c conda-forge pyvips
+ pip install imagededup
```
MMF (π₯23 Β· β 5.3K) - A modular framework for vision & language multimodal research from.. BSD-3
-- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 110 Β· π 880 Β· π¦ 14 Β· π 780 - 30% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 110 Β· π 880 Β· π¦ 14 Β· π 650 - 16% open Β· β±οΈ 18.10.2023):
```
git clone https://github.com/facebookresearch/mmf
```
-- [PyPi](https://pypi.org/project/mmf) (π₯ 190 / month Β· π¦ 1 Β· β±οΈ 12.06.2020):
+- [PyPi](https://pypi.org/project/mmf) (π₯ 200 / month):
```
pip install mmf
```
kubric (π₯23 Β· β 2K) - A data generation pipeline for creating semi-realistic synthetic multi-.. Apache-2
+icevision (π₯23 Β· β 840 Β· π€) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2
-- [GitHub](https://github.com/google-research/kubric) (π¨βπ» 25 Β· π 180 Β· π¦ 3 Β· π 180 - 30% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/airctic/icevision) (π¨βπ» 41 Β· π 140 Β· π 570 - 10% open Β· β±οΈ 07.12.2022):
```
- git clone https://github.com/google-research/kubric
+ git clone https://github.com/airctic/icevision
```
-- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 4.9K / month):
+- [PyPi](https://pypi.org/project/icevision) (π₯ 4.3K / month Β· π¦ 6 Β· β±οΈ 10.02.2022):
```
- pip install kubric-nightly
+ pip install icevision
```
icevision (π₯23 Β· β 830 Β· π€) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2
+pyvips (π₯23 Β· β 550) - python binding for libvips using cffi. MIT
-- [GitHub](https://github.com/airctic/icevision) (π¨βπ» 41 Β· π 140 Β· π 570 - 10% open Β· β±οΈ 07.12.2022):
+- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 48 Β· π¦ 600 Β· π 380 - 40% open Β· β±οΈ 18.10.2023):
```
- git clone https://github.com/airctic/icevision
+ git clone https://github.com/libvips/pyvips
```
-- [PyPi](https://pypi.org/project/icevision) (π₯ 4.6K / month Β· π¦ 6 Β· β±οΈ 10.02.2022):
+- [PyPi](https://pypi.org/project/pyvips) (π₯ 50K / month):
```
- pip install icevision
+ pip install pyvips
+ ```
+- [Conda](https://anaconda.org/conda-forge/pyvips) (π₯ 69K Β· β±οΈ 26.09.2023):
+ ```
+ conda install -c conda-forge pyvips
```
vissl (π₯22 Β· β 3.1K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT
-- [GitHub](https://github.com/facebookresearch/vissl) (π¨βπ» 37 Β· π 320 Β· π¦ 30 Β· π 180 - 42% open Β· β±οΈ 25.08.2023):
+- [GitHub](https://github.com/facebookresearch/vissl) (π¨βπ» 37 Β· π 320 Β· π¦ 30 Β· π 180 - 42% open Β· β±οΈ 20.10.2023):
```
git clone https://github.com/facebookresearch/vissl
```
-- [PyPi](https://pypi.org/project/vissl) (π₯ 220 / month Β· π¦ 1 Β· β±οΈ 02.11.2021):
+- [PyPi](https://pypi.org/project/vissl) (π₯ 240 / month Β· π¦ 1 Β· β±οΈ 02.11.2021):
```
pip install vissl
```
@@ -2854,31 +2840,39 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/tensorflow/graphics
```
-- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 4.7K / month Β· π¦ 8 Β· β±οΈ 03.12.2021):
+- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 4.9K / month Β· π¦ 8 Β· β±οΈ 03.12.2021):
```
pip install tensorflow-graphics
```
ffcv (π₯22 Β· β 2.6K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2
-- [GitHub](https://github.com/libffcv/ffcv) (π¨βπ» 27 Β· π 160 Β· π¦ 32 Β· π 250 - 34% open Β· β±οΈ 24.08.2023):
+- [GitHub](https://github.com/libffcv/ffcv) (π¨βπ» 27 Β· π 160 Β· π¦ 33 Β· π 250 - 34% open Β· β±οΈ 24.08.2023):
```
git clone https://github.com/libffcv/ffcv
```
-- [PyPi](https://pypi.org/project/ffcv) (π₯ 950 / month):
+- [PyPi](https://pypi.org/project/ffcv) (π₯ 860 / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
```
pip install ffcv
```
Classy Vision (π₯22 Β· β 1.6K Β· π€) - An end-to-end PyTorch framework for image and video.. MIT
+DEβ«ΆTR (π₯21 Β· β 12K Β· π€) - End-to-End Object Detection with Transformers. Apache-2
+
+- [GitHub](https://github.com/facebookresearch/detr) (π¨βπ» 26 Β· π 2.1K Β· π¦ 21 Β· π 510 - 44% open Β· β±οΈ 07.02.2023):
+
+ ```
+ git clone https://github.com/facebookresearch/detr
+ ```
+Classy Vision (π₯21 Β· β 1.6K Β· π€) - An end-to-end PyTorch framework for image and video.. MIT
-- [GitHub](https://github.com/facebookresearch/ClassyVision) (π¨βπ» 77 Β· π 280 Β· π 120 - 45% open Β· β±οΈ 23.03.2023):
+- [GitHub](https://github.com/facebookresearch/ClassyVision) (π¨βπ» 77 Β· π 280 Β· π 77 - 16% open Β· β±οΈ 23.03.2023):
```
git clone https://github.com/facebookresearch/ClassyVision
```
-- [PyPi](https://pypi.org/project/classy_vision) (π₯ 2.3K / month Β· π¦ 4 Β· β±οΈ 21.03.2023):
+- [PyPi](https://pypi.org/project/classy_vision) (π₯ 2.1K / month):
```
pip install classy_vision
```
@@ -2887,29 +2881,33 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge classy_vision
```
DEβ«ΆTR (π₯21 Β· β 12K Β· π€) - End-to-End Object Detection with Transformers. Apache-2
+PySlowFast (π₯20 Β· β 6K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
-- [GitHub](https://github.com/facebookresearch/detr) (π¨βπ» 26 Β· π 2.1K Β· π¦ 19 Β· π 510 - 44% open Β· β±οΈ 07.02.2023):
+- [GitHub](https://github.com/facebookresearch/SlowFast) (π¨βπ» 31 Β· π 1.1K Β· π¦ 14 Β· π 640 - 56% open Β· β±οΈ 19.10.2023):
```
- git clone https://github.com/facebookresearch/detr
+ git clone https://github.com/facebookresearch/SlowFast
+ ```
+- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 15 / month Β· β±οΈ 15.01.2020):
+ ```
+ pip install pyslowfast
```
PySlowFast (π₯19 Β· β 6K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
+image-match (π₯20 Β· β 2.9K Β· π€) - Quickly search over billions of images. Apache-2
-- [GitHub](https://github.com/facebookresearch/SlowFast) (π¨βπ» 31 Β· π 1.1K Β· π¦ 14 Β· π 630 - 56% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/rhsimplex/image-match) (π¨βπ» 19 Β· π 400 Β· π 110 - 57% open Β· β±οΈ 06.12.2022):
```
- git clone https://github.com/facebookresearch/SlowFast
+ git clone https://github.com/ProvenanceLabs/image-match
```
-- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 11 / month):
+- [PyPi](https://pypi.org/project/image_match) (π₯ 510 / month Β· π¦ 4 Β· β±οΈ 13.02.2017):
```
- pip install pyslowfast
+ pip install image_match
```
scenic (π₯19 Β· β 2.5K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
+scenic (π₯19 Β· β 2.6K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
-- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 70 Β· π 350 Β· π 250 - 58% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 72 Β· π 350 Β· π 250 - 58% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/google-research/scenic
@@ -2917,51 +2915,49 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pycls (π₯19 Β· β 2.1K) - Codebase for Image Classification Research, written in PyTorch. MIT
-- [GitHub](https://github.com/facebookresearch/pycls) (π¨βπ» 19 Β· π 230 Β· π¦ 16 Β· π 80 - 30% open Β· β±οΈ 26.08.2023):
+- [GitHub](https://github.com/facebookresearch/pycls) (π¨βπ» 19 Β· π 230 Β· π¦ 16 Β· π 81 - 30% open Β· β±οΈ 26.08.2023):
```
git clone https://github.com/facebookresearch/pycls
```
-- [PyPi](https://pypi.org/project/pycls) (π₯ 690 / month):
+- [PyPi](https://pypi.org/project/pycls) (π₯ 710 / month Β· β±οΈ 05.09.2020):
```
pip install pycls
```
Caer (π₯18 Β· β 720) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT
-- [GitHub](https://github.com/jasmcaus/caer) (π¨βπ» 8 Β· π 110 Β· π₯ 28 Β· π 15 - 13% open Β· β±οΈ 01.04.2023):
+- [GitHub](https://github.com/jasmcaus/caer) (π¨βπ» 8 Β· π 95 Β· π₯ 28 Β· π 15 - 13% open Β· β±οΈ 01.04.2023):
```
git clone https://github.com/jasmcaus/caer
```
-- [PyPi](https://pypi.org/project/caer) (π₯ 2.8K / month Β· π¦ 2 Β· β±οΈ 13.10.2021):
+- [PyPi](https://pypi.org/project/caer) (π₯ 2.9K / month):
```
pip install caer
```
Show 21 hidden projects...
+Show 19 hidden projects...
- scikit-image (π₯42 Β· β 5.6K) - Image processing in Python. βUnlicensed
+- imgaug (π₯35 Β· β 14K Β· π) - Image augmentation for machine learning experiments. MIT
- glfw (π₯35 Β· β 11K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. βοΈZlib
-- imgaug (π₯34 Β· β 14K Β· π) - Image augmentation for machine learning experiments. MIT
-- InsightFace (π₯33 Β· β 19K) - State-of-the-art 2D and 3D Face Analysis Project. βUnlicensed MIT βUnlicensed MIT
+- Face Recognition (π₯32 Β· β 50K Β· π) - The worlds simplest facial recognition api for Python.. MIT MIT
+- PyTorch3D (π₯29 Β· β 7.8K) - PyTorch3D is FAIRs library of reusable components for.. βUnlicensed Apache-2
-- mtcnn (π₯27 Β· β 2K Β· π) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT MIT MIT
-- segmentation_models (π₯25 Β· β 4.4K Β· π) - Segmentation models with pretrained backbones. Keras.. MIT βοΈPIL
-- Image Super-Resolution (π₯22 Β· β 4.3K Β· π) - Super-scale your images and run experiments with.. Apache-2 BSD-3 MIT
-- nude.py (π₯21 Β· β 920 Β· π) - Nudity detection with Python. MIT
+- segmentation_models (π₯23 Β· β 4.5K Β· π) - Segmentation models with pretrained backbones. Keras.. MIT Apache-2 BSD-3 MIT
- detecto (π₯20 Β· β 600 Β· π) - Build fully-functioning computer vision models with PyTorch. MIT MIT
- solt (π₯18 Β· β 260 Β· π) - Streaming over lightweight data transformations. MIT
-- image-match (π₯17 Β· β 2.9K Β· π€) - Quickly search over billions of images. βUnlicensed
- HugsVision (π₯16 Β· β 180 Β· π€) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface
-- Torch Points 3D (π₯16 Β· β 160 Β· π) - Pytorch framework for doing deep learning on point.. BSD-3 BSD-3
@@ -2973,12 +2969,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
networkx (π₯44 Β· β 13K) - Network Analysis in Python. BSD-3
-- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 680 Β· π 3.1K Β· π₯ 65 Β· π¦ 190K Β· π 3.3K - 11% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 690 Β· π 3.1K Β· π₯ 65 Β· π¦ 190K Β· π 3.3K - 11% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/networkx/networkx
```
-- [PyPi](https://pypi.org/project/networkx) (π₯ 28M / month Β· π¦ 15K Β· β±οΈ 19.10.2023):
+- [PyPi](https://pypi.org/project/networkx) (π₯ 30M / month Β· π¦ 15K Β· β±οΈ 19.10.2023):
```
pip install networkx
```
@@ -2989,24 +2985,24 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
dgl (π₯39 Β· β 12K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2
-- [GitHub](https://github.com/dmlc/dgl) (π¨βπ» 280 Β· π 2.9K Β· π¦ 160 Β· π 2.5K - 16% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/dmlc/dgl) (π¨βπ» 280 Β· π 2.9K Β· π¦ 160 Β· π 2.5K - 16% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/dmlc/dgl
```
-- [PyPi](https://pypi.org/project/dgl) (π₯ 62K / month Β· π¦ 76 Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/dgl) (π₯ 66K / month Β· π¦ 76 Β· β±οΈ 30.08.2023):
```
pip install dgl
```
PyTorch Geometric (π₯35 Β· β 19K Β· π) - Graph Neural Network Library for PyTorch. MIT
+PyTorch Geometric (π₯38 Β· β 19K Β· π) - Graph Neural Network Library for PyTorch. MIT
-- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 450 Β· π 3.3K Β· π 3.2K - 23% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 450 Β· π 3.3K Β· π 3.3K - 25% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/pyg-team/pytorch_geometric
```
-- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 210K / month):
+- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 210K / month Β· π¦ 110 Β· β±οΈ 12.10.2023):
```
pip install torch-geometric
```
@@ -3022,7 +3018,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/graphistry/pygraphistry
```
-- [PyPi](https://pypi.org/project/graphistry) (π₯ 2.3K / month Β· π¦ 5 Β· β±οΈ 13.10.2023):
+- [PyPi](https://pypi.org/project/graphistry) (π₯ 2.5K / month Β· π¦ 5 Β· β±οΈ 13.10.2023):
```
pip install graphistry
```
@@ -3034,7 +3030,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/snap-stanford/ogb
```
-- [PyPi](https://pypi.org/project/ogb) (π₯ 24K / month Β· π¦ 22 Β· β±οΈ 02.11.2022):
+- [PyPi](https://pypi.org/project/ogb) (π₯ 23K / month Β· π¦ 22 Β· β±οΈ 02.11.2022):
```
pip install ogb
```
@@ -3050,23 +3046,35 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/PaddlePaddle/PGL
```
-- [PyPi](https://pypi.org/project/pgl) (π₯ 1.6K / month Β· π¦ 2 Β· β±οΈ 26.09.2023):
+- [PyPi](https://pypi.org/project/pgl) (π₯ 1.8K / month Β· π¦ 2 Β· β±οΈ 26.09.2023):
```
pip install pgl
```
Spektral (π₯27 Β· β 2.3K) - Graph Neural Networks with Keras and Tensorflow 2. MIT
-- [GitHub](https://github.com/danielegrattarola/spektral) (π¨βπ» 27 Β· π 340 Β· π¦ 230 Β· π 260 - 24% open Β· β±οΈ 01.06.2023):
+- [GitHub](https://github.com/danielegrattarola/spektral) (π¨βπ» 27 Β· π 340 Β· π¦ 240 Β· π 260 - 24% open Β· β±οΈ 01.06.2023):
```
git clone https://github.com/danielegrattarola/spektral
```
-- [PyPi](https://pypi.org/project/spektral) (π₯ 4.5K / month Β· π¦ 6 Β· β±οΈ 01.06.2023):
+- [PyPi](https://pypi.org/project/spektral) (π₯ 4.4K / month Β· π¦ 6 Β· β±οΈ 01.06.2023):
```
pip install spektral
```
PyKEEN (π₯26 Β· β 1.4K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
+
+- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 36 Β· π 170 Β· π₯ 180 Β· π 540 - 20% open Β· β±οΈ 07.10.2023):
+
+ ```
+ git clone https://github.com/pykeen/pykeen
+ ```
+- [PyPi](https://pypi.org/project/pykeen) (π₯ 4.1K / month Β· π¦ 5 Β· β±οΈ 22.02.2023):
+ ```
+ pip install pykeen
+ ```
+pytorch_geometric_temporal (π₯25 Β· β 2.3K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT
- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (π¨βπ» 28 Β· π 320 Β· π 170 - 8% open Β· β±οΈ 01.07.2023):
@@ -3081,36 +3089,36 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
AmpliGraph (π₯25 Β· β 2K) - Python library for Representation Learning on Knowledge.. Apache-2
-- [GitHub](https://github.com/Accenture/AmpliGraph) (π¨βπ» 20 Β· π 230 Β· π¦ 44 Β· π 220 - 13% open Β· β±οΈ 12.07.2023):
+- [GitHub](https://github.com/Accenture/AmpliGraph) (π¨βπ» 20 Β· π 240 Β· π¦ 44 Β· π 220 - 14% open Β· β±οΈ 12.07.2023):
```
git clone https://github.com/Accenture/AmpliGraph
```
-- [PyPi](https://pypi.org/project/ampligraph) (π₯ 660 / month):
+- [PyPi](https://pypi.org/project/ampligraph) (π₯ 630 / month Β· β±οΈ 25.05.2021):
```
pip install ampligraph
```
PyKEEN (π₯25 Β· β 1.4K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
+PyTorch-BigGraph (π₯24 Β· β 3.3K Β· π) - Generate embeddings from large-scale graph-structured.. BSD-3
-- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 36 Β· π 170 Β· π₯ 180 Β· π 510 - 16% open Β· β±οΈ 07.10.2023):
+- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (π¨βπ» 30 Β· π 430 Β· π₯ 160 Β· π 190 - 29% open Β· β±οΈ 25.08.2023):
```
- git clone https://github.com/pykeen/pykeen
+ git clone https://github.com/facebookresearch/PyTorch-BigGraph
```
-- [PyPi](https://pypi.org/project/pykeen) (π₯ 3.7K / month):
+- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 320K / month Β· π¦ 3 Β· β±οΈ 01.05.2019):
```
- pip install pykeen
+ pip install torchbiggraph
```
Node2Vec (π₯24 Β· β 1.1K) - Implementation of the node2vec algorithm. MIT
-- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 12 Β· π 220 Β· π¦ 490 Β· π 90 - 3% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 12 Β· π 230 Β· π¦ 490 Β· π 90 - 3% open Β· β±οΈ 29.08.2023):
```
git clone https://github.com/eliorc/node2vec
```
-- [PyPi](https://pypi.org/project/node2vec) (π₯ 64K / month):
+- [PyPi](https://pypi.org/project/node2vec) (π₯ 81K / month Β· π¦ 18 Β· β±οΈ 01.08.2022):
```
pip install node2vec
```
@@ -3119,70 +3127,82 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
conda install -c conda-forge node2vec
```
graph4nlp (π₯21 Β· β 1.6K Β· π€) - Graph4nlp is the library for the easy use of Graph.. Apache-2
+torch-cluster (π₯24 Β· β 710 Β· π) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
-- [GitHub](https://github.com/graph4ai/graph4nlp) (π¨βπ» 29 Β· π 190 Β· π 170 - 6% open Β· β±οΈ 13.11.2022):
+- [GitHub](https://github.com/rusty1s/pytorch_cluster) (π¨βπ» 32 Β· π 130 Β· π 140 - 17% open Β· β±οΈ 11.10.2023):
```
- git clone https://github.com/graph4ai/graph4nlp
+ git clone https://github.com/rusty1s/pytorch_cluster
```
-- [PyPi](https://pypi.org/project/graph4nlp) (π₯ 75 / month Β· β±οΈ 20.01.2022):
+- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 12K / month Β· π¦ 44 Β· β±οΈ 12.10.2023):
```
- pip install graph4nlp
+ pip install torch-cluster
+ ```
+- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (π₯ 81K Β· β±οΈ 18.10.2023):
+ ```
+ conda install -c conda-forge pytorch_cluster
```
torch-cluster (π₯21 Β· β 700 Β· π) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
+graph4nlp (π₯21 Β· β 1.6K Β· π€) - Graph4nlp is the library for the easy use of Graph.. Apache-2
-- [GitHub](https://github.com/rusty1s/pytorch_cluster) (π¨βπ» 32 Β· π 120 Β· π 140 - 15% open Β· β±οΈ 11.10.2023):
+- [GitHub](https://github.com/graph4ai/graph4nlp) (π¨βπ» 29 Β· π 190 Β· π 170 - 3% open Β· β±οΈ 13.11.2022):
```
- git clone https://github.com/rusty1s/pytorch_cluster
- ```
-- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 11K / month):
- ```
- pip install torch-cluster
+ git clone https://github.com/graph4ai/graph4nlp
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (π₯ 80K Β· β±οΈ 18.10.2023):
+- [PyPi](https://pypi.org/project/graph4nlp) (π₯ 76 / month):
```
- conda install -c conda-forge pytorch_cluster
+ pip install graph4nlp
```
deepsnap (π₯20 Β· β 500 Β· π€) - Python library assists deep learning on graphs. MIT
-- [GitHub](https://github.com/snap-stanford/deepsnap) (π¨βπ» 17 Β· π 51 Β· π₯ 10 Β· π¦ 68 Β· π 44 - 45% open Β· β±οΈ 27.03.2023):
+- [GitHub](https://github.com/snap-stanford/deepsnap) (π¨βπ» 17 Β· π 52 Β· π₯ 10 Β· π¦ 68 Β· π 44 - 45% open Β· β±οΈ 27.03.2023):
```
git clone https://github.com/snap-stanford/deepsnap
```
-- [PyPi](https://pypi.org/project/deepsnap) (π₯ 460 / month Β· π¦ 1 Β· β±οΈ 05.09.2021):
+- [PyPi](https://pypi.org/project/deepsnap) (π₯ 430 / month):
```
pip install deepsnap
```
graph-nets (π₯19 Β· β 5.3K Β· π€) - Build Graph Nets in Tensorflow. Apache-2
-- [GitHub](https://github.com/google-deepmind/graph_nets) (π¨βπ» 11 Β· π 770 Β· π¦ 18 Β· π 130 - 5% open Β· β±οΈ 12.12.2022):
+- [GitHub](https://github.com/google-deepmind/graph_nets) (π¨βπ» 11 Β· π 780 Β· π¦ 20 Β· π 130 - 5% open Β· β±οΈ 12.12.2022):
```
git clone https://github.com/deepmind/graph_nets
```
-- [PyPi](https://pypi.org/project/graph-nets) (π₯ 880 / month):
+- [PyPi](https://pypi.org/project/graph-nets) (π₯ 940 / month):
```
pip install graph-nets
```
GraphGym (π₯18 Β· β 1.5K Β· π€) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT
-- [GitHub](https://github.com/snap-stanford/GraphGym) (π¨βπ» 6 Β· π 160 Β· π₯ 26 Β· π¦ 4 Β· π 42 - 30% open Β· β±οΈ 14.03.2023):
+- [GitHub](https://github.com/snap-stanford/GraphGym) (π¨βπ» 6 Β· π 160 Β· π₯ 26 Β· π¦ 4 Β· π 43 - 30% open Β· β±οΈ 14.03.2023):
```
git clone https://github.com/snap-stanford/GraphGym
```
-- [PyPi](https://pypi.org/project/graphgym) (π₯ 73 / month Β· β±οΈ 24.03.2022):
+- [PyPi](https://pypi.org/project/graphgym) (π₯ 78 / month Β· β±οΈ 24.03.2022):
```
pip install graphgym
```
AutoGL (π₯16 Β· β 1K) - An autoML framework & toolkit for machine learning on graphs. Apache-2
+
+- [GitHub](https://github.com/THUMNLab/AutoGL) (π¨βπ» 15 Β· π 110 Β· π 32 - 28% open Β· β±οΈ 21.10.2023):
+
+ ```
+ git clone https://github.com/THUMNLab/AutoGL
+ ```
+- [PyPi](https://pypi.org/project/auto-graph-learning) (π₯ 6 / month Β· β±οΈ 23.12.2020):
+ ```
+ pip install auto-graph-learning
+ ```
+kglib (π₯16 Β· β 550 Β· π€) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2
- [GitHub](https://github.com/vaticle/typedb-ml) (π¨βπ» 11 Β· π 98 Β· π₯ 220 Β· π 62 - 17% open Β· β±οΈ 09.11.2022):
@@ -3190,49 +3210,43 @@ _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₯ 72 / month Β· β±οΈ 19.08.2020):
+- [PyPi](https://pypi.org/project/grakn-kglib) (π₯ 75 / month Β· β±οΈ 19.08.2020):
```
pip install grakn-kglib
```
AutoGL (π₯15 Β· β 990 Β· π€) - An autoML framework & toolkit for machine learning on graphs. Apache-2
+OpenKE (π₯15 Β· β 3.6K Β· π€) - An Open-Source Package for Knowledge Embedding (KE). MIT
-- [GitHub](https://github.com/THUMNLab/AutoGL) (π¨βπ» 15 Β· π 110 Β· π 32 - 31% open Β· β±οΈ 30.12.2022):
+- [GitHub](https://github.com/thunlp/OpenKE) (π¨βπ» 11 Β· π 950 Β· π 370 - 4% open Β· β±οΈ 03.11.2022):
```
- git clone https://github.com/THUMNLab/AutoGL
- ```
-- [PyPi](https://pypi.org/project/auto-graph-learning) (π₯ 2 / month Β· β±οΈ 23.12.2020):
- ```
- pip install auto-graph-learning
+ git clone https://github.com/thunlp/OpenKE
```
OpenNE (π₯14 Β· β 1.7K Β· π€) - An Open-Source Package for Network Embedding (NE). MIT
-- [GitHub](https://github.com/thunlp/OpenNE) (π¨βπ» 11 Β· π 480 Β· π 100 - 3% open Β· β±οΈ 02.11.2022):
+- [GitHub](https://github.com/thunlp/OpenNE) (π¨βπ» 11 Β· π 480 Β· π 100 - 4% open Β· β±οΈ 02.11.2022):
```
git clone https://github.com/thunlp/OpenNE
```
Show 17 hidden projects...
+Show 15 hidden projects...
-- igraph (π₯32 Β· β 1.2K Β· π) - Python interface for igraph. βοΈGPL-2.0
+- igraph (π₯32 Β· β 1.2K) - Python interface for igraph. βοΈGPL-2.0
- StellarGraph (π₯28 Β· β 2.8K Β· π) - StellarGraph - Machine Learning on Graphs. Apache-2 βοΈLGPL-3.0
- Karate Club (π₯24 Β· β 2K) - Karate Club: An API Oriented Open-source Python Framework for.. βοΈGPL-3.0
- DIG (π₯22 Β· β 1.6K) - A library for graph deep learning research. βοΈGPL-3.0
-- PyTorch-BigGraph (π₯21 Β· β 3.3K Β· π) - Generate embeddings from large-scale graph-structured.. βUnlicensed βοΈGPL-3.0
- jraph (π₯20 Β· β 1.2K Β· π) - A Graph Neural Network Library in Jax. Apache-2 MIT
-- Sematch (π₯19 Β· β 410 Β· π) - semantic similarity framework for knowledge graph. Apache-2
-- DeepWalk (π₯18 Β· β 2.6K Β· π) - DeepWalk - Deep Learning for Graphs. βUnlicensed
+- Sematch (π₯17 Β· β 410 Β· π) - semantic similarity framework for knowledge graph. Apache-2
- DeepGraph (π₯17 Β· β 280) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 MIT Apache-2 MIT MIT βUnlicensed
- GraphVite (π₯13 Β· β 1.2K Β· π) - GraphVite: A General and High-performance Graph Embedding.. Apache-2
@@ -3245,59 +3259,59 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
speechbrain (π₯38 Β· β 6.7K) - A PyTorch-based Speech Toolkit. Apache-2
-- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 220 Β· π 1.1K Β· π¦ 1K Β· π 1K - 16% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 220 Β· π 1.1K Β· π¦ 1K Β· π 950 - 9% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/speechbrain/speechbrain
```
-- [PyPi](https://pypi.org/project/speechbrain) (π₯ 220K / month Β· π¦ 14 Β· β±οΈ 22.07.2023):
+- [PyPi](https://pypi.org/project/speechbrain) (π₯ 220K / month):
```
pip install speechbrain
```
espnet (π₯37 Β· β 7.1K) - End-to-End Speech Processing Toolkit. Apache-2
+espnet (π₯37 Β· β 7.3K) - End-to-End Speech Processing Toolkit. Apache-2
-- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 380 Β· π 2K Β· π₯ 79 Β· π¦ 250 Β· π 2.2K - 9% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 390 Β· π 2K Β· π₯ 79 Β· π¦ 250 Β· π 2.3K - 10% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/espnet/espnet
```
-- [PyPi](https://pypi.org/project/espnet) (π₯ 26K / month Β· π¦ 5 Β· β±οΈ 03.08.2023):
+- [PyPi](https://pypi.org/project/espnet) (π₯ 24K / month Β· π¦ 5 Β· β±οΈ 25.10.2023):
```
pip install espnet
```
Coqui TTS (π₯35 Β· β 21K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
+torchaudio (π₯35 Β· β 2.2K) - Data manipulation and transformation for audio signal.. BSD-2
-- [GitHub](https://github.com/coqui-ai/TTS) (π¨βπ» 150 Β· π 2.3K Β· π₯ 1.4M Β· π 750 - 5% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 220 Β· π 600 Β· π 900 - 21% open Β· β±οΈ 26.10.2023):
```
- git clone https://github.com/coqui-ai/TTS
- ```
-- [PyPi](https://pypi.org/project/tts) (π₯ 73K / month Β· π¦ 16 Β· β±οΈ 19.10.2023):
- ```
- pip install tts
+ git clone https://github.com/pytorch/audio
```
-- [Conda](https://anaconda.org/conda-forge/tts) (π₯ 9.8K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/torchaudio) (π₯ 1.7M / month Β· π¦ 440 Β· β±οΈ 04.10.2023):
```
- conda install -c conda-forge tts
+ pip install torchaudio
```
torchaudio (π₯35 Β· β 2.2K) - Data manipulation and transformation for audio signal.. BSD-2
+Coqui TTS (π₯33 Β· β 21K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
-- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 220 Β· π 600 Β· π 890 - 21% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/coqui-ai/TTS) (π¨βπ» 150 Β· π 2.2K Β· π₯ 1.5M Β· π 740 - 3% open Β· β±οΈ 25.10.2023):
```
- git clone https://github.com/pytorch/audio
+ git clone https://github.com/coqui-ai/TTS
```
-- [PyPi](https://pypi.org/project/torchaudio) (π₯ 1.6M / month Β· π¦ 440 Β· β±οΈ 04.10.2023):
+- [PyPi](https://pypi.org/project/tts) (π₯ 73K / month):
```
- pip install torchaudio
+ pip install tts
+ ```
+- [Conda](https://anaconda.org/conda-forge/tts) (π₯ 9.8K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge tts
```
Pydub (π₯33 Β· β 7.7K Β· π€) - Manipulate audio with a simple and easy high level interface. MIT
+Pydub (π₯33 Β· β 7.8K Β· π€) - Manipulate audio with a simple and easy high level interface. MIT
-- [GitHub](https://github.com/jiaaro/pydub) (π¨βπ» 95 Β· π 960 Β· π¦ 40K Β· π 590 - 54% open Β· β±οΈ 08.12.2022):
+- [GitHub](https://github.com/jiaaro/pydub) (π¨βπ» 95 Β· π 960 Β· π¦ 41K Β· π 590 - 54% open Β· β±οΈ 08.12.2022):
```
git clone https://github.com/jiaaro/pydub
@@ -3306,7 +3320,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
pip install pydub
```
-- [Conda](https://anaconda.org/conda-forge/pydub) (π₯ 70K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pydub) (π₯ 71K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge pydub
```
@@ -3329,7 +3343,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
spleeter (π₯32 Β· β 24K) - Deezer source separation library including pretrained models. MIT
-- [GitHub](https://github.com/deezer/spleeter) (π¨βπ» 19 Β· π 2.6K Β· π₯ 2.7M Β· π¦ 590 Β· π 770 - 27% open Β· β±οΈ 13.07.2023):
+- [GitHub](https://github.com/deezer/spleeter) (π¨βπ» 19 Β· π 2.6K Β· π₯ 2.7M Β· π¦ 600 Β· π 770 - 27% open Β· β±οΈ 13.07.2023):
```
git clone https://github.com/deezer/spleeter
@@ -3355,9 +3369,9 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
pip install magenta
```
SpeechRecognition (π₯32 Β· β 7.6K Β· π€) - Speech recognition module for Python, supporting.. BSD-3
+SpeechRecognition (π₯31 Β· β 7.6K Β· π€) - Speech recognition module for Python, supporting.. BSD-3
-- [GitHub](https://github.com/Uberi/speech_recognition) (π¨βπ» 49 Β· π 2.3K Β· π¦ 19 Β· π 600 - 49% open Β· β±οΈ 13.03.2023):
+- [GitHub](https://github.com/Uberi/speech_recognition) (π¨βπ» 49 Β· π 2.3K Β· π¦ 21 Β· π 600 - 49% open Β· β±οΈ 13.03.2023):
```
git clone https://github.com/Uberi/speech_recognition
@@ -3373,12 +3387,12 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
audiomentations (π₯30 Β· β 1.5K) - A Python library for audio data augmentation. Inspired by.. MIT
-- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 24 Β· π 170 Β· π¦ 350 Β· π 170 - 27% open Β· β±οΈ 05.10.2023):
+- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 24 Β· π 170 Β· π¦ 350 Β· π 160 - 25% open Β· β±οΈ 05.10.2023):
```
git clone https://github.com/iver56/audiomentations
```
-- [PyPi](https://pypi.org/project/audiomentations) (π₯ 17K / month Β· π¦ 5 Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/audiomentations) (π₯ 17K / month):
```
pip install audiomentations
```
@@ -3390,7 +3404,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/beetbox/audioread
```
-- [PyPi](https://pypi.org/project/audioread) (π₯ 1.4M / month Β· π¦ 360 Β· β±οΈ 27.09.2023):
+- [PyPi](https://pypi.org/project/audioread) (π₯ 1.6M / month Β· π¦ 360 Β· β±οΈ 27.09.2023):
```
pip install audioread
```
@@ -3399,14 +3413,26 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
conda install -c conda-forge audioread
```
Porcupine (π₯29 Β· β 3.2K) - On-device wake word detection powered by deep learning. Apache-2
+pyAudioAnalysis (π₯29 Β· β 5.5K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
+
+- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 28 Β· π 1.2K Β· π¦ 390 Β· π 310 - 61% open Β· β±οΈ 22.10.2023):
+
+ ```
+ git clone https://github.com/tyiannak/pyAudioAnalysis
+ ```
+- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 15K / month Β· π¦ 19 Β· β±οΈ 07.02.2022):
+ ```
+ pip install pyAudioAnalysis
+ ```
+Porcupine (π₯29 Β· β 3.2K) - On-device wake word detection powered by deep learning. Apache-2
- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 36 Β· π 440 Β· π¦ 22 Β· π 490 - 0% open Β· β±οΈ 10.10.2023):
```
git clone https://github.com/Picovoice/Porcupine
```
-- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 3.6K / month Β· π¦ 11 Β· β±οΈ 28.06.2022):
+- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 3.9K / month Β· π¦ 13 Β· β±οΈ 25.10.2023):
```
pip install pvporcupine
```
@@ -3418,31 +3444,31 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/CPJKU/madmom
```
-- [PyPi](https://pypi.org/project/madmom) (π₯ 2.9K / month Β· π¦ 33 Β· β±οΈ 14.11.2018):
+- [PyPi](https://pypi.org/project/madmom) (π₯ 3K / month Β· π¦ 33 Β· β±οΈ 14.11.2018):
```
pip install madmom
```
tinytag (π₯26 Β· β 630) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT
-- [GitHub](https://github.com/devsnd/tinytag) (π¨βπ» 26 Β· π 99 Β· π 110 - 12% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/devsnd/tinytag) (π¨βπ» 26 Β· π 99 Β· π 110 - 12% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/devsnd/tinytag
```
-- [PyPi](https://pypi.org/project/tinytag) (π₯ 14K / month Β· π¦ 110 Β· β±οΈ 18.10.2023):
+- [PyPi](https://pypi.org/project/tinytag) (π₯ 17K / month Β· π¦ 110 Β· β±οΈ 18.10.2023):
```
pip install tinytag
```
DDSP (π₯25 Β· β 2.6K) - DDSP: Differentiable Digital Signal Processing. Apache-2
-- [GitHub](https://github.com/magenta/ddsp) (π¨βπ» 32 Β· π 300 Β· π¦ 46 Β· π 160 - 24% open Β· β±οΈ 30.06.2023):
+- [GitHub](https://github.com/magenta/ddsp) (π¨βπ» 32 Β· π 300 Β· π¦ 47 Β· π 160 - 24% open Β· β±οΈ 30.06.2023):
```
git clone https://github.com/magenta/ddsp
```
-- [PyPi](https://pypi.org/project/ddsp) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
+- [PyPi](https://pypi.org/project/ddsp) (π₯ 1.5K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
```
pip install ddsp
```
@@ -3467,22 +3493,6 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
conda install -c anaconda pysoundfile
```
DeepSpeech (π₯22 Β· β 23K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0
-
-- [GitHub](https://github.com/mozilla/DeepSpeech) (π¨βπ» 140 Β· π 3.8K):
-
- ```
- git clone https://github.com/mozilla/DeepSpeech
- ```
-- [PyPi](https://pypi.org/project/deepspeech) (π₯ 6.3K / month Β· π¦ 43 Β· β±οΈ 19.12.2020):
- ```
- pip install deepspeech
- ```
-- [Conda](https://anaconda.org/conda-forge/deepspeech) (π₯ 2.3K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge deepspeech
- ```
-nnAudio (π₯20 Β· β 900) - Audio processing by using pytorch 1D convolution network. MIT
- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (π¨βπ» 15 Β· π 86 Β· π¦ 130 Β· π 60 - 30% open Β· β±οΈ 04.09.2023):
@@ -3490,7 +3500,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/KinWaiCheuk/nnAudio
```
-- [PyPi](https://pypi.org/project/nnAudio) (π₯ 4.7K / month Β· π¦ 3 Β· β±οΈ 24.12.2021):
+- [PyPi](https://pypi.org/project/nnAudio) (π₯ 4.7K / month):
```
pip install nnAudio
```
@@ -3505,15 +3515,15 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
Show 10 hidden projects...
-- pyAudioAnalysis (π₯29 Β· β 5.5K Β· π) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
+- DeepSpeech (π₯34 Β· β 23K Β· π) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 βοΈGPL-3.0
-- Essentia (π₯26 Β· β 2.5K) - C++ library for audio and music analysis, description and.. βοΈAGPL-3.0
+- Essentia (π₯27 Β· β 2.5K) - C++ library for audio and music analysis, description and.. βοΈAGPL-3.0
- TTS (π₯25 Β· β 8.1K Β· π) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
- python_speech_features (π₯25 Β· β 2.3K Β· π) - This library provides common speech features for ASR.. MIT
- Dejavu (π₯23 Β· β 6.1K Β· π) - Audio fingerprinting and recognition in Python. MIT
-- kapre (π₯21 Β· β 900 Β· π) - kapre: Keras Audio Preprocessors. MIT MIT βοΈAGPL-3.0
+- kapre (π₯22 Β· β 900 Β· π) - kapre: Keras Audio Preprocessors. MIT βοΈAGPL-3.0
+- Julius (π₯20 Β· β 380 Β· π) - Fast PyTorch based DSP for audio and 1D signals. MIT ISC
@@ -3526,7 +3536,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (π₯42 Β· β 11K) - WebGL2 powered visualization framework. MIT
-- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 240 Β· π 2K Β· π¦ 6.6K Β· π 2.8K - 8% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 240 Β· π 2K Β· π¦ 6.7K Β· π 2.8K - 8% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/visgl/deck.gl
@@ -3539,35 +3549,35 @@ _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₯ 510K / month Β· π¦ 470 Β· β±οΈ 18.10.2023):
+- [npm](https://www.npmjs.com/package/deck.gl) (π₯ 510K / month Β· π¦ 470 Β· β±οΈ 24.10.2023):
```
npm install deck.gl
```
GeoPandas (π₯39 Β· β 3.9K) - Python tools for geographic data. BSD-3
-- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 210 Β· π 820 Β· π₯ 2.2K Β· π¦ 27K Β· π 1.5K - 23% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 210 Β· π 870 Β· π₯ 2.2K Β· π¦ 27K Β· π 1.6K - 27% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/geopandas/geopandas
```
-- [PyPi](https://pypi.org/project/geopandas) (π₯ 6.1M / month):
+- [PyPi](https://pypi.org/project/geopandas) (π₯ 6.2M / month Β· π¦ 1.7K Β· β±οΈ 15.09.2023):
```
pip install geopandas
```
-- [Conda](https://anaconda.org/conda-forge/geopandas) (π₯ 3.2M Β· β±οΈ 11.10.2023):
+- [Conda](https://anaconda.org/conda-forge/geopandas) (π₯ 3.3M Β· β±οΈ 11.10.2023):
```
conda install -c conda-forge geopandas
```
folium (π₯38 Β· β 6.4K) - Python Data. Leaflet.js Maps. MIT
-- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 160 Β· π 2.2K Β· π¦ 30K Β· π 1K - 5% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 160 Β· π 2.2K Β· π¦ 30K Β· π 1K - 5% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/python-visualization/folium
```
-- [PyPi](https://pypi.org/project/folium) (π₯ 680K / month):
+- [PyPi](https://pypi.org/project/folium) (π₯ 700K / month Β· π¦ 790 Β· β±οΈ 12.12.2022):
```
pip install folium
```
@@ -3578,12 +3588,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Shapely (π₯38 Β· β 3.5K) - Manipulation and analysis of geometric objects. BSD-3
-- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 150 Β· π 540 Β· π₯ 2.7K Β· π¦ 54K Β· π 1.1K - 20% open Β· β±οΈ 15.10.2023):
+- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 150 Β· π 540 Β· π₯ 2.7K Β· π¦ 54K Β· π 1.1K - 20% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/shapely/shapely
```
-- [PyPi](https://pypi.org/project/shapely) (π₯ 15M / month Β· π¦ 1.1K Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/shapely) (π₯ 16M / month Β· π¦ 1.1K Β· β±οΈ 12.10.2023):
```
pip install shapely
```
@@ -3592,6 +3602,38 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge shapely
```
Rasterio (π₯37 Β· β 2K) - Rasterio reads and writes geospatial raster datasets. BSD-3
+
+- [GitHub](https://github.com/rasterio/rasterio) (π¨βπ» 150 Β· π 520 Β· π₯ 850 Β· π¦ 9.1K Β· π 1.7K - 9% open Β· β±οΈ 23.10.2023):
+
+ ```
+ git clone https://github.com/rasterio/rasterio
+ ```
+- [PyPi](https://pypi.org/project/rasterio) (π₯ 2M / month Β· π¦ 1K Β· β±οΈ 19.10.2023):
+ ```
+ pip install rasterio
+ ```
+- [Conda](https://anaconda.org/conda-forge/rasterio) (π₯ 2.7M Β· β±οΈ 19.10.2023):
+ ```
+ conda install -c conda-forge rasterio
+ ```
+geopy (π₯36 Β· β 4.1K Β· π) - Geocoding library for Python. MIT
+
+- [GitHub](https://github.com/geopy/geopy) (π¨βπ» 130 Β· π 630 Β· π₯ 2 Β· π 280 - 10% open Β· β±οΈ 27.08.2023):
+
+ ```
+ git clone https://github.com/geopy/geopy
+ ```
+- [PyPi](https://pypi.org/project/geopy) (π₯ 4.2M / month Β· π¦ 4K Β· β±οΈ 27.08.2023):
+ ```
+ pip install geopy
+ ```
+- [Conda](https://anaconda.org/conda-forge/geopy) (π₯ 1.2M Β· β±οΈ 27.08.2023):
+ ```
+ conda install -c conda-forge geopy
+ ```
+pyproj (π₯36 Β· β 930) - Python interface to PROJ (cartographic projections and coordinate.. MIT
- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 64 Β· π 210 Β· π¦ 24K Β· π 580 - 4% open Β· β±οΈ 21.09.2023):
@@ -3599,23 +3641,23 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/pyproj4/pyproj
```
-- [PyPi](https://pypi.org/project/pyproj) (π₯ 8M / month Β· π¦ 2K Β· β±οΈ 21.09.2023):
+- [PyPi](https://pypi.org/project/pyproj) (π₯ 8.1M / month Β· π¦ 2K Β· β±οΈ 21.09.2023):
```
pip install pyproj
```
-- [Conda](https://anaconda.org/conda-forge/pyproj) (π₯ 6.8M Β· β±οΈ 25.09.2023):
+- [Conda](https://anaconda.org/conda-forge/pyproj) (π₯ 6.9M Β· β±οΈ 23.10.2023):
```
conda install -c conda-forge pyproj
```
Fiona (π₯35 Β· β 1.1K) - Fiona reads and writes geographic data files. BSD-3
-- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 71 Β· π 190 Β· π¦ 15K Β· π 760 - 3% open Β· β±οΈ 03.10.2023):
+- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 72 Β· π 200 Β· π¦ 15K Β· π 770 - 4% open Β· β±οΈ 20.10.2023):
```
git clone https://github.com/Toblerity/Fiona
```
-- [PyPi](https://pypi.org/project/fiona) (π₯ 6.4M / month):
+- [PyPi](https://pypi.org/project/fiona) (π₯ 6.5M / month Β· β±οΈ 12.10.2023):
```
pip install fiona
```
@@ -3626,12 +3668,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
ipyleaflet (π₯33 Β· β 1.4K) - A Jupyter - Leaflet.js bridge. MIT
-- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 85 Β· π 350 Β· π¦ 5.6K Β· π 590 - 42% open Β· β±οΈ 09.10.2023):
+- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 85 Β· π 350 Β· π¦ 5.7K Β· π 590 - 42% open Β· β±οΈ 09.10.2023):
```
git clone https://github.com/jupyter-widgets/ipyleaflet
```
-- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 180K / month Β· π¦ 160 Β· β±οΈ 11.09.2023):
+- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 170K / month Β· π¦ 160 Β· β±οΈ 11.09.2023):
```
pip install ipyleaflet
```
@@ -3639,51 +3681,35 @@ _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₯ 48K / month Β· π¦ 5 Β· β±οΈ 02.06.2023):
+- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 51K / month Β· π¦ 5 Β· β±οΈ 02.06.2023):
```
npm install jupyter-leaflet
```
ArcGIS API (π₯31 Β· β 1.6K) - Documentation and samples for ArcGIS API for Python. Apache-2
+ArcGIS API (π₯32 Β· β 1.7K) - Documentation and samples for ArcGIS API for Python. Apache-2
-- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 89 Β· π 1K Β· π₯ 9.4K Β· π¦ 3 Β· π 630 - 5% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 89 Β· π 1.1K Β· π₯ 9.5K Β· π¦ 3 Β· π 640 - 7% open Β· β±οΈ 16.10.2023):
```
git clone https://github.com/Esri/arcgis-python-api
```
-- [PyPi](https://pypi.org/project/arcgis) (π₯ 66K / month):
+- [PyPi](https://pypi.org/project/arcgis) (π₯ 68K / month Β· π¦ 32 Β· β±οΈ 18.10.2023):
```
pip install arcgis
```
- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook):
```
- docker pull esridocker/arcgis-api-python-notebook
- ```
-geopy (π₯30 Β· β 4.1K Β· π) - Geocoding library for Python. MIT
-
-- [GitHub](https://github.com/geopy/geopy) (π¨βπ» 130 Β· π 600 Β· π₯ 2 Β· π 270 - 8% open Β· β±οΈ 27.08.2023):
-
- ```
- git clone https://github.com/geopy/geopy
- ```
-- [PyPi](https://pypi.org/project/geopy) (π₯ 4.1M / month):
- ```
- pip install geopy
- ```
-- [Conda](https://anaconda.org/conda-forge/geopy) (π₯ 1.2M Β· β±οΈ 27.08.2023):
- ```
- conda install -c conda-forge geopy
+ docker pull esridocker/arcgis-api-python-notebook
```
geojson (π₯28 Β· β 840) - Python bindings and utilities for GeoJSON. BSD-3
+geojson (π₯29 Β· β 840) - Python bindings and utilities for GeoJSON. BSD-3
-- [GitHub](https://github.com/jazzband/geojson) (π¨βπ» 54 Β· π 120 Β· π¦ 16K Β· π 97 - 24% open Β· β±οΈ 06.10.2023):
+- [GitHub](https://github.com/jazzband/geojson) (π¨βπ» 54 Β· π 120 Β· π¦ 16K Β· π 100 - 27% open Β· β±οΈ 06.10.2023):
```
git clone https://github.com/jazzband/geojson
```
-- [PyPi](https://pypi.org/project/geojson) (π₯ 1.3M / month):
+- [PyPi](https://pypi.org/project/geojson) (π₯ 1.3M / month Β· π¦ 1.2K Β· β±οΈ 26.01.2023):
```
pip install geojson
```
@@ -3692,36 +3718,36 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge geojson
```
GeoViews (π₯27 Β· β 520) - Simple, concise geographical visualization in Python. BSD-3
+PySAL (π₯27 Β· β 1.2K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
-- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 29 Β· π 71 Β· π¦ 780 Β· π 330 - 33% open Β· β±οΈ 13.10.2023):
+- [GitHub](https://github.com/pysal/pysal) (π¨βπ» 78 Β· π 280 Β· π 620 - 2% open Β· β±οΈ 05.09.2023):
```
- git clone https://github.com/holoviz/geoviews
+ git clone https://github.com/pysal/pysal
```
-- [PyPi](https://pypi.org/project/geoviews) (π₯ 7.4K / month Β· π¦ 35 Β· β±οΈ 20.07.2023):
+- [PyPi](https://pypi.org/project/pysal) (π₯ 22K / month Β· π¦ 36 Β· β±οΈ 01.08.2023):
```
- pip install geoviews
+ pip install pysal
```
-- [Conda](https://anaconda.org/conda-forge/geoviews) (π₯ 200K Β· β±οΈ 21.07.2023):
+- [Conda](https://anaconda.org/conda-forge/pysal) (π₯ 520K Β· β±οΈ 04.10.2023):
```
- conda install -c conda-forge geoviews
+ conda install -c conda-forge pysal
```
PySAL (π₯25 Β· β 1.2K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
+GeoViews (π₯27 Β· β 520) - Simple, concise geographical visualization in Python. BSD-3
-- [GitHub](https://github.com/pysal/pysal) (π¨βπ» 78 Β· π 280 Β· π 620 - 2% open Β· β±οΈ 05.09.2023):
+- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 29 Β· π 71 Β· π¦ 790 Β· π 330 - 33% open Β· β±οΈ 13.10.2023):
```
- git clone https://github.com/pysal/pysal
+ git clone https://github.com/holoviz/geoviews
```
-- [PyPi](https://pypi.org/project/pysal) (π₯ 22K / month):
+- [PyPi](https://pypi.org/project/geoviews) (π₯ 7.9K / month Β· π¦ 35 Β· β±οΈ 20.07.2023):
```
- pip install pysal
+ pip install geoviews
```
-- [Conda](https://anaconda.org/conda-forge/pysal) (π₯ 520K Β· β±οΈ 04.10.2023):
+- [Conda](https://anaconda.org/conda-forge/geoviews) (π₯ 200K Β· β±οΈ 21.07.2023):
```
- conda install -c conda-forge pysal
+ conda install -c conda-forge geoviews
```
EarthPy (π₯25 Β· β 460) - A package built to support working with spatial data using open source.. BSD-3
@@ -3735,19 +3761,19 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
pip install earthpy
```
-- [Conda](https://anaconda.org/conda-forge/earthpy) (π₯ 69K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/earthpy) (π₯ 70K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge earthpy
```
pymap3d (π₯24 Β· β 330 Β· π€) - pure-Python (Numpy optional) 3D coordinate conversions for geospace.. BSD-2
+pymap3d (π₯24 Β· β 340 Β· π€) - pure-Python (Numpy optional) 3D coordinate conversions for geospace.. BSD-2
- [GitHub](https://github.com/geospace-code/pymap3d) (π¨βπ» 15 Β· π 79 Β· π¦ 320 Β· π 53 - 16% open Β· β±οΈ 05.03.2023):
```
git clone https://github.com/geospace-code/pymap3d
```
-- [PyPi](https://pypi.org/project/pymap3d) (π₯ 75K / month Β· π¦ 21 Β· β±οΈ 05.03.2023):
+- [PyPi](https://pypi.org/project/pymap3d) (π₯ 78K / month Β· π¦ 21 Β· β±οΈ 05.03.2023):
```
pip install pymap3d
```
@@ -3756,16 +3782,15 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge pymap3d
```
Show 8 hidden projects...
+Show 7 hidden projects...
-- Rasterio (π₯35 Β· β 2K) - Rasterio reads and writes geospatial raster datasets. βUnlicensed
- Geocoder (π₯33 Β· β 1.6K Β· π) - Python Geocoder. MIT
- Satpy (π₯31 Β· β 960) - Python package for earth-observing satellite data processing. βοΈGPL-3.0
- Sentinelsat (π₯27 Β· β 920 Β· π€) - Search and download Copernicus Sentinel satellite images. βοΈGPL-3.0
- gmaps (π₯23 Β· β 760 Β· π) - Google maps for Jupyter notebooks. BSD-3 MIT βοΈAGPL-3.0
-- geoplotlib (π₯18 Β· β 1K Β· π) - python toolbox for visualizing geographical data and making maps. MIT
+- geoplotlib (π₯20 Β· β 1K Β· π) - python toolbox for visualizing geographical data and making maps. MIT
@@ -3777,7 +3802,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
yfinance (π₯39 Β· β 10K) - Download market data from Yahoo! Finances API. Apache-2
-- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 93 Β· π 2K Β· π¦ 28K Β· π 1.2K - 14% open Β· β±οΈ 04.10.2023):
+- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 93 Β· π 2K Β· π¦ 29K Β· π 1.2K - 14% open Β· β±οΈ 04.10.2023):
```
git clone https://github.com/ranaroussi/yfinance
@@ -3791,14 +3816,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
conda install -c ranaroussi yfinance
```
Qlib (π₯31 Β· β 13K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT
+Qlib (π₯30 Β· β 13K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT
-- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 120 Β· π 2.1K Β· π₯ 390 Β· π¦ 19 Β· π 810 - 28% open Β· β±οΈ 15.09.2023):
+- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 120 Β· π 2.1K Β· π₯ 390 Β· π¦ 21 Β· π 870 - 25% open Β· β±οΈ 20.10.2023):
```
git clone https://github.com/microsoft/qlib
```
-- [PyPi](https://pypi.org/project/pyqlib) (π₯ 1.7K / month Β· π¦ 1 Β· β±οΈ 15.06.2022):
+- [PyPi](https://pypi.org/project/pyqlib) (π₯ 1.9K / month Β· π¦ 1 Β· β±οΈ 15.06.2022):
```
pip install pyqlib
```
@@ -3810,7 +3835,7 @@ _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₯ 32K / month Β· π¦ 23 Β· β±οΈ 21.11.2022):
+- [PyPi](https://pypi.org/project/ib_insync) (π₯ 30K / month Β· π¦ 23 Β· β±οΈ 21.11.2022):
```
pip install ib_insync
```
@@ -3826,7 +3851,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/pmorissette/bt
```
-- [PyPi](https://pypi.org/project/bt) (π₯ 9K / month Β· π¦ 27 Β· β±οΈ 21.04.2021):
+- [PyPi](https://pypi.org/project/bt) (π₯ 8.5K / month Β· π¦ 27 Β· β±οΈ 21.04.2021):
```
pip install bt
```
@@ -3842,11 +3867,11 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/pmorissette/ffn
```
-- [PyPi](https://pypi.org/project/ffn) (π₯ 160K / month Β· π¦ 30 Β· β±οΈ 21.04.2021):
+- [PyPi](https://pypi.org/project/ffn) (π₯ 150K / month Β· π¦ 30 Β· β±οΈ 21.04.2021):
```
pip install ffn
```
-- [Conda](https://anaconda.org/conda-forge/ffn) (π₯ 5.7K Β· β±οΈ 15.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ffn) (π₯ 5.8K Β· β±οΈ 15.06.2023):
```
conda install -c conda-forge ffn
```
@@ -3858,7 +3883,7 @@ _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₯ 25K / month Β· π¦ 29 Β· β±οΈ 21.12.2020):
+- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 24K / month Β· π¦ 29 Β· β±οΈ 21.12.2020):
```
pip install alpha_vantage
```
@@ -3874,33 +3899,33 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/jealous/stockstats
```
-- [PyPi](https://pypi.org/project/stockstats) (π₯ 9K / month Β· π¦ 29 Β· β±οΈ 30.07.2023):
+- [PyPi](https://pypi.org/project/stockstats) (π₯ 9.4K / month Β· π¦ 29 Β· β±οΈ 30.07.2023):
```
pip install stockstats
```
FinQuant (π₯25 Β· β 1.1K) - A program for financial portfolio management, analysis and optimisation. MIT
+PyAlgoTrade (π₯24 Β· β 4.2K Β· π€) - Python Algorithmic Trading Library. Apache-2
-- [GitHub](https://github.com/fmilthaler/FinQuant) (π¨βπ» 11 Β· π 160 Β· π¦ 84 Β· π 48 - 33% open Β· β±οΈ 03.09.2023):
+- [GitHub](https://github.com/gbeced/pyalgotrade) (π¨βπ» 11 Β· π 1.4K Β· π¦ 170 Β· β±οΈ 05.03.2023):
```
- git clone https://github.com/fmilthaler/FinQuant
+ git clone https://github.com/gbeced/pyalgotrade
```
-- [PyPi](https://pypi.org/project/FinQuant) (π₯ 1.3K / month Β· β±οΈ 04.09.2023):
+- [PyPi](https://pypi.org/project/pyalgotrade) (π₯ 790 / month Β· π¦ 21 Β· β±οΈ 21.08.2018):
```
- pip install FinQuant
+ pip install pyalgotrade
```
PyAlgoTrade (π₯24 Β· β 4.2K Β· π€) - Python Algorithmic Trading Library. Apache-2
+FinQuant (π₯22 Β· β 1.1K) - A program for financial portfolio management, analysis and optimisation. MIT
-- [GitHub](https://github.com/gbeced/pyalgotrade) (π¨βπ» 11 Β· π 1.4K Β· π¦ 170 Β· β±οΈ 05.03.2023):
+- [GitHub](https://github.com/fmilthaler/FinQuant) (π¨βπ» 7 Β· π 160 Β· π¦ 84 Β· π 47 - 31% open Β· β±οΈ 03.09.2023):
```
- git clone https://github.com/gbeced/pyalgotrade
+ git clone https://github.com/fmilthaler/FinQuant
```
-- [PyPi](https://pypi.org/project/pyalgotrade) (π₯ 750 / month Β· π¦ 21 Β· β±οΈ 21.08.2018):
+- [PyPi](https://pypi.org/project/FinQuant) (π₯ 1.2K / month):
```
- pip install pyalgotrade
+ pip install FinQuant
```
tf-quant-finance (π₯20 Β· β 4K) - High-performance TensorFlow library for quantitative.. Apache-2
@@ -3910,7 +3935,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/google/tf-quant-finance
```
-- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 400 / month Β· π¦ 2 Β· β±οΈ 19.08.2022):
+- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 390 / month Β· π¦ 2 Β· β±οΈ 19.08.2022):
```
pip install tf-quant-finance
```
@@ -3922,7 +3947,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/cuemacro/finmarketpy
```
-- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 130 / month Β· β±οΈ 07.10.2021):
+- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 110 / month Β· β±οΈ 07.10.2021):
```
pip install finmarketpy
```
@@ -3935,12 +3960,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
- backtrader (π₯29 Β· β 12K) - Python Backtesting library for trading strategies. βοΈGPL-3.0
- ta (π₯29 Β· β 3.8K Β· π) - Technical Analysis Library using Pandas and Numpy. MIT
- empyrical (π₯28 Β· β 1.1K Β· π) - Common financial risk and performance metrics. Used by.. Apache-2
-- Alphalens (π₯26 Β· β 2.8K Β· π) - Performance analysis of predictive (alpha) stock factors. Apache-2
+- Alphalens (π₯26 Β· β 2.9K Β· π) - Performance analysis of predictive (alpha) stock factors. Apache-2
- TensorTrade (π₯25 Β· β 4.3K Β· π) - An open source reinforcement learning framework for.. Apache-2
- Enigma Catalyst (π₯25 Β· β 2.4K Β· π) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
- FinTA (π₯23 Β· β 2K Β· π) - Common financial technical indicators implemented in Pandas. βοΈLGPL-3.0
- Crypto Signals (π₯22 Β· β 4.5K Β· π) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT
-- Backtesting.py (π₯22 Β· β 4.1K Β· π€) - Backtest trading strategies in Python. βοΈAGPL-3.0
+- Backtesting.py (π₯22 Β· β 4.2K Β· π€) - Backtest trading strategies in Python. βοΈAGPL-3.0
- surpriver (π₯12 Β· β 1.6K Β· π) - Find big moving stocks before they move using machine.. βοΈGPL-3.0
- pyrtfolio (π₯8 Β· β 140 Β· π) - Python package to generate stock portfolios. βοΈGPL-3.0
sktime (π₯39 Β· β 7K) - A unified framework for machine learning with time series. BSD-3
-- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 300 Β· π 1.2K Β· π₯ 84 Β· π¦ 1.8K Β· π 2K - 34% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 300 Β· π 1.2K Β· π₯ 84 Β· π¦ 1.8K Β· π 2K - 35% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/alan-turing-institute/sktime
```
-- [PyPi](https://pypi.org/project/sktime) (π₯ 760K / month Β· π¦ 55 Β· β±οΈ 13.10.2023):
+- [PyPi](https://pypi.org/project/sktime) (π₯ 810K / month Β· π¦ 55 Β· β±οΈ 13.10.2023):
```
pip install sktime
```
@@ -3970,28 +3995,28 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Prophet (π₯36 Β· β 17K) - Tool for producing high quality forecasts for time series data that has.. MIT
-- [GitHub](https://github.com/facebook/prophet) (π¨βπ» 170 Β· π 4.4K Β· π₯ 2.1K Β· π¦ 19 Β· π 2.1K - 18% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/facebook/prophet) (π¨βπ» 170 Β· π 4.4K Β· π₯ 2.1K Β· π¦ 21 Β· π 2.1K - 18% open Β· β±οΈ 18.10.2023):
```
git clone https://github.com/facebook/prophet
```
-- [PyPi](https://pypi.org/project/fbprophet) (π₯ 890K / month Β· π¦ 130 Β· β±οΈ 05.09.2020):
+- [PyPi](https://pypi.org/project/fbprophet) (π₯ 870K / month Β· π¦ 130 Β· β±οΈ 05.09.2020):
```
pip install fbprophet
```
-- [Conda](https://anaconda.org/conda-forge/prophet) (π₯ 1.1M Β· β±οΈ 10.10.2023):
+- [Conda](https://anaconda.org/conda-forge/prophet) (π₯ 1.1M Β· β±οΈ 20.10.2023):
```
conda install -c conda-forge prophet
```
tslearn (π₯33 Β· β 2.6K) - A machine learning toolkit dedicated to time-series data. BSD-2
-- [GitHub](https://github.com/tslearn-team/tslearn) (π¨βπ» 43 Β· π 320 Β· π¦ 980 Β· π 310 - 38% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/tslearn-team/tslearn) (π¨βπ» 43 Β· π 320 Β· π¦ 990 Β· π 310 - 38% open Β· β±οΈ 17.10.2023):
```
git clone https://github.com/tslearn-team/tslearn
```
-- [PyPi](https://pypi.org/project/tslearn) (π₯ 290K / month Β· π¦ 45 Β· β±οΈ 21.08.2023):
+- [PyPi](https://pypi.org/project/tslearn) (π₯ 300K / month Β· π¦ 45 Β· β±οΈ 21.08.2023):
```
pip install tslearn
```
@@ -4000,6 +4025,22 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge tslearn
```
pmdarima (π₯33 Β· β 1.4K) - A statistical library designed to fill the void in Pythons time series.. MIT
+
+- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 22 Β· π 220 Β· π¦ 6.4K Β· π 320 - 14% open Β· β±οΈ 23.10.2023):
+
+ ```
+ git clone https://github.com/alkaline-ml/pmdarima
+ ```
+- [PyPi](https://pypi.org/project/pmdarima) (π₯ 1.6M / month):
+ ```
+ pip install pmdarima
+ ```
+- [Conda](https://anaconda.org/conda-forge/pmdarima) (π₯ 1M Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge pmdarima
+ ```
+NeuralProphet (π₯32 Β· β 3.3K) - NeuralProphet: A simple forecasting package. MIT
- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 45 Β· π 430 Β· π¦ 310 Β· π 490 - 8% open Β· β±οΈ 19.10.2023):
@@ -4007,19 +4048,35 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/ourownstory/neural_prophet
```
-- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 74K / month Β· π¦ 3 Β· β±οΈ 19.09.2023):
+- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 69K / month Β· π¦ 3 Β· β±οΈ 19.09.2023):
```
pip install neuralprophet
```
StatsForecast (π₯32 Β· β 3.1K) - Lightning fast forecasting with statistical and econometric.. Apache-2
+
+- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 32 Β· π 210 Β· π¦ 530 Β· π 240 - 42% open Β· β±οΈ 24.10.2023):
+
+ ```
+ git clone https://github.com/Nixtla/statsforecast
+ ```
+- [PyPi](https://pypi.org/project/statsforecast) (π₯ 440K / month Β· π¦ 21 Β· β±οΈ 23.08.2023):
+ ```
+ pip install statsforecast
+ ```
+- [Conda](https://anaconda.org/conda-forge/statsforecast) (π₯ 53K Β· β±οΈ 25.08.2023):
+ ```
+ conda install -c conda-forge statsforecast
+ ```
+STUMPY (π₯32 Β· β 2.8K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
-- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 35 Β· π 270 Β· π¦ 540 Β· π 450 - 11% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 35 Β· π 270 Β· π¦ 550 Β· π 460 - 11% open Β· β±οΈ 17.10.2023):
```
git clone https://github.com/TDAmeritrade/stumpy
```
-- [PyPi](https://pypi.org/project/stumpy) (π₯ 240K / month Β· π¦ 15 Β· β±οΈ 21.08.2023):
+- [PyPi](https://pypi.org/project/stumpy) (π₯ 260K / month Β· π¦ 15 Β· β±οΈ 21.08.2023):
```
pip install stumpy
```
@@ -4030,12 +4087,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
tsfresh (π₯31 Β· β 7.8K) - Automatic extraction of relevant features from time series:. MIT
-- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 90 Β· π 1.2K Β· π¦ 19 Β· π 530 - 11% open Β· β±οΈ 09.10.2023):
+- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 91 Β· π 1.2K Β· π¦ 21 Β· π 530 - 11% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/blue-yonder/tsfresh
```
-- [PyPi](https://pypi.org/project/tsfresh) (π₯ 240K / month Β· π¦ 75 Β· β±οΈ 21.12.2021):
+- [PyPi](https://pypi.org/project/tsfresh) (π₯ 250K / month Β· π¦ 75 Β· β±οΈ 21.12.2021):
```
pip install tsfresh
```
@@ -4044,9 +4101,9 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge tsfresh
```
Darts (π₯31 Β· β 6.5K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
+Darts (π₯31 Β· β 6.6K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
-- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 100 Β· π 720 Β· π¦ 390 Β· π 1.2K - 20% open Β· β±οΈ 13.10.2023):
+- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 100 Β· π 720 Β· π¦ 400 Β· π 1.2K - 20% open Β· β±οΈ 13.10.2023):
```
git clone https://github.com/unit8co/darts
@@ -4059,83 +4116,67 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
conda install -c conda-forge u8darts-all
```
-- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 410 Β· β±οΈ 16.09.2023):
+- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 420 Β· β±οΈ 16.09.2023):
```
docker pull unit8/darts
```
GluonTS (π₯31 Β· β 3.8K) - Probabilistic time series modeling in Python. Apache-2
+GluonTS (π₯31 Β· β 3.9K) - Probabilistic time series modeling in Python. Apache-2
-- [GitHub](https://github.com/awslabs/gluonts) (π¨βπ» 110 Β· π 740 Β· π 880 - 30% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/awslabs/gluonts) (π¨βπ» 110 Β· π 740 Β· π 880 - 30% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/awslabs/gluon-ts
```
-- [PyPi](https://pypi.org/project/gluonts) (π₯ 230K / month Β· π¦ 13 Β· β±οΈ 18.10.2023):
+- [PyPi](https://pypi.org/project/gluonts) (π₯ 250K / month Β· π¦ 13 Β· β±οΈ 18.10.2023):
```
pip install gluonts
```
-- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 580 Β· β±οΈ 23.06.2023):
+- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 590 Β· β±οΈ 23.06.2023):
```
conda install -c anaconda gluonts
```
pmdarima (π₯31 Β· β 1.4K) - A statistical library designed to fill the void in Pythons time series.. MIT
-
-- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 22 Β· π 230 Β· π¦ 6.4K Β· π 320 - 15% open Β· β±οΈ 16.10.2023):
-
- ```
- git clone https://github.com/alkaline-ml/pmdarima
- ```
-- [PyPi](https://pypi.org/project/pmdarima) (π₯ 1.6M / month Β· π¦ 81 Β· β±οΈ 15.03.2023):
- ```
- pip install pmdarima
- ```
-- [Conda](https://anaconda.org/conda-forge/pmdarima) (π₯ 1M Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge pmdarima
- ```
-StatsForecast (π₯30 Β· β 3.1K) - Lightning fast forecasting with statistical and econometric.. Apache-2
+pytorch-forecasting (π₯29 Β· β 3.3K) - Time series forecasting with PyTorch. MIT
-- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 32 Β· π 210 Β· π¦ 520 Β· π 240 - 43% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/jdb78/pytorch-forecasting) (π¨βπ» 43 Β· π 520 Β· π 710 - 60% open Β· β±οΈ 24.10.2023):
```
- git clone https://github.com/Nixtla/statsforecast
+ git clone https://github.com/jdb78/pytorch-forecasting
```
-- [PyPi](https://pypi.org/project/statsforecast) (π₯ 420K / month):
+- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 56K / month Β· π¦ 10 Β· β±οΈ 26.07.2020):
```
- pip install statsforecast
+ pip install pytorch-forecasting
```
-- [Conda](https://anaconda.org/conda-forge/statsforecast) (π₯ 52K Β· β±οΈ 25.08.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (π₯ 51K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge statsforecast
+ conda install -c conda-forge pytorch-forecasting
```
pytorch-forecasting (π₯29 Β· β 3.3K) - Time series forecasting with PyTorch. MIT
+NeuralForecast (π₯29 Β· β 1.9K) - Scalable and user friendly neural forecasting algorithms. Apache-2
-- [GitHub](https://github.com/jdb78/pytorch-forecasting) (π¨βπ» 43 Β· π 510 Β· π 710 - 60% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 31 Β· π 200 Β· π¦ 55 Β· π 360 - 23% open Β· β±οΈ 24.10.2023):
```
- git clone https://github.com/jdb78/pytorch-forecasting
+ git clone https://github.com/Nixtla/neuralforecast
```
-- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 56K / month Β· π¦ 10 Β· β±οΈ 26.07.2020):
+- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 12K / month Β· π¦ 3 Β· β±οΈ 05.10.2023):
```
- pip install pytorch-forecasting
+ pip install neuralforecast
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (π₯ 51K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/neuralforecast) (π₯ 11K Β· β±οΈ 06.10.2023):
```
- conda install -c conda-forge pytorch-forecasting
+ conda install -c conda-forge neuralforecast
```
pyts (π₯28 Β· β 1.6K) - A Python package for time series classification. BSD-3
+pyts (π₯28 Β· β 1.6K) - A Python package for time series classification. BSD-3
- [GitHub](https://github.com/johannfaouzi/pyts) (π¨βπ» 14 Β· π 150 Β· π¦ 480 Β· π 75 - 54% open Β· β±οΈ 20.06.2023):
```
git clone https://github.com/johannfaouzi/pyts
```
-- [PyPi](https://pypi.org/project/pyts) (π₯ 130K / month Β· π¦ 19 Β· β±οΈ 31.10.2021):
+- [PyPi](https://pypi.org/project/pyts) (π₯ 130K / month):
```
pip install pyts
```
@@ -4144,14 +4185,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge pyts
```
skforecast (π₯28 Β· β 680) - Time series forecasting with scikit-learn models. BSD-3
+skforecast (π₯28 Β· β 700) - Time series forecasting with scikit-learn models. BSD-3
-- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (π¨βπ» 8 Β· π 87 Β· π¦ 190 Β· π 97 - 15% open Β· β±οΈ 15.10.2023):
+- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (π¨βπ» 8 Β· π 86 Β· π¦ 190 Β· π 100 - 18% open Β· β±οΈ 15.10.2023):
```
git clone https://github.com/JoaquinAmatRodrigo/skforecast
```
-- [PyPi](https://pypi.org/project/skforecast) (π₯ 35K / month Β· π¦ 6 Β· β±οΈ 26.09.2023):
+- [PyPi](https://pypi.org/project/skforecast) (π₯ 38K / month Β· π¦ 6 Β· β±οΈ 26.09.2023):
```
pip install skforecast
```
@@ -4167,26 +4208,26 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
pip install streamz
```
-- [Conda](https://anaconda.org/conda-forge/streamz) (π₯ 730K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/streamz) (π₯ 740K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge streamz
```
TSFEL (π₯24 Β· β 740) - An intuitive library to extract features from time series. BSD-3
-- [GitHub](https://github.com/fraunhoferportugal/tsfel) (π¨βπ» 18 Β· π 130 Β· π¦ 96 Β· π 66 - 7% open Β· β±οΈ 22.08.2023):
+- [GitHub](https://github.com/fraunhoferportugal/tsfel) (π¨βπ» 18 Β· π 110 Β· π¦ 96 Β· β±οΈ 25.10.2023):
```
git clone https://github.com/fraunhoferportugal/tsfel
```
-- [PyPi](https://pypi.org/project/tsfel) (π₯ 24K / month Β· β±οΈ 22.08.2023):
+- [PyPi](https://pypi.org/project/tsfel) (π₯ 24K / month):
```
pip install tsfel
```
uber/orbit (π₯23 Β· β 1.7K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2
-- [GitHub](https://github.com/uber/orbit) (π¨βπ» 18 Β· π 130 Β· π¦ 39 Β· π 390 - 16% open Β· β±οΈ 26.09.2023):
+- [GitHub](https://github.com/uber/orbit) (π¨βπ» 18 Β· π 130 Β· π¦ 40 Β· π 390 - 16% open Β· β±οΈ 26.09.2023):
```
git clone https://github.com/uber/orbit
@@ -4200,18 +4241,6 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge orbit-ml
```
greykite (π₯22 Β· β 1.7K) - A flexible, intuitive and fast forecasting library. BSD-2
-
-- [GitHub](https://github.com/linkedin/greykite) (π¨βπ» 9 Β· π 99 Β· π₯ 4 Β· π¦ 23 Β· π 100 - 22% open Β· β±οΈ 07.06.2023):
-
- ```
- git clone https://github.com/linkedin/greykite
- ```
-- [PyPi](https://pypi.org/project/greykite) (π₯ 13K / month Β· β±οΈ 15.07.2022):
- ```
- pip install greykite
- ```
-luminol (π₯22 Β· β 1.1K) - Anomaly Detection and Correlation library. Apache-2
- [GitHub](https://github.com/linkedin/luminol) (π¨βπ» 9 Β· π 220 Β· π¦ 76 Β· π 43 - 72% open Β· β±οΈ 09.05.2023):
@@ -4219,33 +4248,33 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/linkedin/luminol
```
-- [PyPi](https://pypi.org/project/luminol) (π₯ 10K / month Β· π¦ 15 Β· β±οΈ 11.12.2017):
+- [PyPi](https://pypi.org/project/luminol) (π₯ 9.5K / month Β· π¦ 15 Β· β±οΈ 11.12.2017):
```
pip install luminol
```
tick (π₯21 Β· β 440 Β· π€) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
+tick (π₯22 Β· β 440 Β· π€) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
- [GitHub](https://github.com/X-DataInitiative/tick) (π¨βπ» 19 Β· π 96 Β· π₯ 290 Β· π¦ 71 Β· π 240 - 28% open Β· β±οΈ 05.03.2023):
```
git clone https://github.com/X-DataInitiative/tick
```
-- [PyPi](https://pypi.org/project/tick) (π₯ 1.2K / month Β· π¦ 2 Β· β±οΈ 24.05.2020):
+- [PyPi](https://pypi.org/project/tick) (π₯ 1.3K / month Β· π¦ 2 Β· β±οΈ 24.05.2020):
```
pip install tick
```
pydlm (π₯20 Β· β 460) - A python library for Bayesian time series modeling. BSD-3
+greykite (π₯21 Β· β 1.7K) - A flexible, intuitive and fast forecasting library. BSD-2
-- [GitHub](https://github.com/wwrechard/pydlm) (π¨βπ» 6 Β· π 97 Β· π¦ 32 Β· π 47 - 78% open Β· β±οΈ 04.09.2023):
+- [GitHub](https://github.com/linkedin/greykite) (π¨βπ» 9 Β· π 100 Β· π₯ 4 Β· π¦ 23 Β· π 100 - 22% open Β· β±οΈ 07.06.2023):
```
- git clone https://github.com/wwrechard/pydlm
+ git clone https://github.com/linkedin/greykite
```
-- [PyPi](https://pypi.org/project/pydlm) (π₯ 33K / month Β· π¦ 2 Β· β±οΈ 19.12.2018):
+- [PyPi](https://pypi.org/project/greykite) (π₯ 13K / month):
```
- pip install pydlm
+ pip install greykite
```
Auto TS (π₯19 Β· β 620) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
@@ -4255,19 +4284,31 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/AutoViML/Auto_TS
```
-- [PyPi](https://pypi.org/project/auto-ts) (π₯ 3.9K / month Β· β±οΈ 16.08.2022):
+- [PyPi](https://pypi.org/project/auto-ts) (π₯ 4K / month Β· β±οΈ 16.08.2022):
```
pip install auto-ts
```
tsflex (π₯18 Β· β 320) - Flexible time series feature extraction & processing. MIT
+pydlm (π₯19 Β· β 460) - A python library for Bayesian time series modeling. BSD-3
+
+- [GitHub](https://github.com/wwrechard/pydlm) (π¨βπ» 6 Β· π 95 Β· π¦ 32 Β· π 47 - 78% open Β· β±οΈ 04.09.2023):
+
+ ```
+ git clone https://github.com/wwrechard/pydlm
+ ```
+- [PyPi](https://pypi.org/project/pydlm) (π₯ 32K / month):
+ ```
+ pip install pydlm
+ ```
+tsflex (π₯17 Β· β 320) - Flexible time series feature extraction & processing. MIT
- [GitHub](https://github.com/predict-idlab/tsflex) (π¨βπ» 6 Β· π 21 Β· π¦ 9 Β· π 44 - 59% open Β· β±οΈ 04.10.2023):
```
git clone https://github.com/predict-idlab/tsflex
```
-- [PyPi](https://pypi.org/project/tsflex) (π₯ 190 / month Β· β±οΈ 11.10.2022):
+- [PyPi](https://pypi.org/project/tsflex) (π₯ 190 / month):
```
pip install tsflex
```
@@ -4276,16 +4317,15 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge tsflex
```
Show 8 hidden projects...
+Show 7 hidden projects...
-- NeuralForecast (π₯27 Β· β 1.8K) - Scalable and user friendly neural forecasting algorithms. βUnlicensed
-- PyFlux (π₯24 Β· β 2.1K Β· π) - Open source time series library for Python. BSD-3
+- PyFlux (π₯25 Β· β 2.1K Β· π) - Open source time series library for Python. BSD-3
- seglearn (π₯21 Β· β 560 Β· π) - Python module for machine learning time series:. BSD-3
- ADTK (π₯20 Β· β 970 Β· π) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0
-- matrixprofile-ts (π₯19 Β· β 720 Β· π) - A Python library for detecting patterns and anomalies.. Apache-2
+- matrixprofile-ts (π₯17 Β· β 720 Β· π) - A Python library for detecting patterns and anomalies.. Apache-2
- atspy (π₯15 Β· β 500 Β· π) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
-- tsaug (π₯13 Β· β 320 Β· π) - A Python package for time series augmentation. Apache-2
-- tslumen (π₯8 Β· β 52 Β· π€) - A library for Time Series EDA (exploratory data analysis). Apache-2
+- tsaug (π₯14 Β· β 320 Β· π) - A Python package for time series augmentation. Apache-2
+- tslumen (π₯8 Β· β 53 Β· π€) - A library for Time Series EDA (exploratory data analysis). Apache-2
@@ -4295,9 +4335,9 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
_Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats._
-MNE (π₯38 Β· β 2.4K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
+MNE (π₯39 Β· β 2.4K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
-- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 360 Β· π 1.2K Β· π¦ 3.1K Β· π 4.7K - 11% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 360 Β· π 1.2K Β· π¦ 3.1K Β· π 4.7K - 11% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/mne-tools/mne-python
@@ -4311,14 +4351,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge mne
```
MONAI (π₯36 Β· β 4.7K) - AI Toolkit for Healthcare Imaging. Apache-2
+MONAI (π₯36 Β· β 4.8K) - AI Toolkit for Healthcare Imaging. Apache-2
-- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 170 Β· π 880 Β· π¦ 1.4K Β· π 2.8K - 11% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 170 Β· π 880 Β· π¦ 1.4K Β· π 2.8K - 11% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/Project-MONAI/MONAI
```
-- [PyPi](https://pypi.org/project/monai) (π₯ 91K / month Β· π¦ 44 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/monai) (π₯ 100K / month Β· π¦ 44 Β· β±οΈ 12.10.2023):
```
pip install monai
```
@@ -4329,12 +4369,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Nilearn (π₯35 Β· β 1K) - Machine learning for NeuroImaging in Python. BSD-3
-- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 230 Β· π 530 Β· π₯ 140 Β· π¦ 2.6K Β· π 1.9K - 15% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 230 Β· π 530 Β· π₯ 140 Β· π¦ 2.6K Β· π 1.9K - 15% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/nilearn/nilearn
```
-- [PyPi](https://pypi.org/project/nilearn) (π₯ 48K / month Β· π¦ 280 Β· β±οΈ 29.09.2023):
+- [PyPi](https://pypi.org/project/nilearn) (π₯ 50K / month Β· π¦ 280 Β· β±οΈ 29.09.2023):
```
pip install nilearn
```
@@ -4343,14 +4383,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge nilearn
```
DIPY (π₯34 Β· β 620) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3
+DIPY (π₯34 Β· β 630) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3
-- [GitHub](https://github.com/dipy/dipy) (π¨βπ» 150 Β· π 380 Β· π¦ 890 Β· π 880 - 17% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/dipy/dipy) (π¨βπ» 150 Β· π 380 Β· π¦ 900 Β· π 890 - 17% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/dipy/dipy
```
-- [PyPi](https://pypi.org/project/dipy) (π₯ 14K / month Β· π¦ 110 Β· β±οΈ 11.03.2022):
+- [PyPi](https://pypi.org/project/dipy) (π₯ 15K / month Β· π¦ 110 Β· β±οΈ 11.03.2022):
```
pip install dipy
```
@@ -4375,9 +4415,9 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge lifelines
```
Hail (π₯33 Β· β 890) - Cloud-native genomic dataframes and batch computing. MIT
+Hail (π₯33 Β· β 900) - Cloud-native genomic dataframes and batch computing. MIT
-- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 90 Β· π 230 Β· π¦ 110 Β· π 2.3K - 6% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 90 Β· π 230 Β· π¦ 110 Β· π 2.3K - 6% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/hail-is/hail
@@ -4389,28 +4429,28 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
NIPYPE (π₯33 Β· β 700) - Workflows and interfaces for neuroimaging packages. Apache-2
-- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 250 Β· π 510 Β· π¦ 3.6K Β· π 1.3K - 29% open Β· β±οΈ 28.09.2023):
+- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 250 Β· π 510 Β· π¦ 3.7K Β· π 1.3K - 29% open Β· β±οΈ 28.09.2023):
```
git clone https://github.com/nipy/nipype
```
-- [PyPi](https://pypi.org/project/nipype) (π₯ 77K / month Β· π¦ 170 Β· β±οΈ 21.05.2017):
+- [PyPi](https://pypi.org/project/nipype) (π₯ 78K / month Β· π¦ 170 Β· β±οΈ 21.05.2017):
```
pip install nipype
```
-- [Conda](https://anaconda.org/conda-forge/nipype) (π₯ 580K Β· β±οΈ 22.09.2023):
+- [Conda](https://anaconda.org/conda-forge/nipype) (π₯ 590K Β· β±οΈ 22.09.2023):
```
conda install -c conda-forge nipype
```
NiBabel (π₯33 Β· β 590) - Python package to access a cacophony of neuro-imaging file formats. MIT
-- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 99 Β· π 250 Β· π¦ 15K Β· π 510 - 24% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 99 Β· π 250 Β· π¦ 15K Β· π 510 - 24% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/nipy/nibabel
```
-- [PyPi](https://pypi.org/project/nibabel) (π₯ 270K / month Β· π¦ 1.1K Β· β±οΈ 03.04.2023):
+- [PyPi](https://pypi.org/project/nibabel) (π₯ 270K / month Β· π¦ 1.2K Β· β±οΈ 03.04.2023):
```
pip install nibabel
```
@@ -4435,9 +4475,9 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge nipy
```
DeepVariant (π₯24 Β· β 2.9K Β· π€) - DeepVariant is an analysis pipeline that uses a deep.. BSD-3
+DeepVariant (π₯27 Β· β 2.9K Β· π) - DeepVariant is an analysis pipeline that uses a deep.. BSD-3
-- [GitHub](https://github.com/google/deepvariant) (π¨βπ» 26 Β· π 680 Β· π₯ 4.7K Β· π 660 - 1% open Β· β±οΈ 28.02.2023):
+- [GitHub](https://github.com/google/deepvariant) (π¨βπ» 28 Β· π 680 Β· π₯ 4.7K Β· π 660 - 1% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/google/deepvariant
@@ -4447,18 +4487,18 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c bioconda deepvariant
```
Brainiak (π₯18 Β· β 310) - Brain Imaging Analysis Kit. Apache-2
+Brainiak (π₯19 Β· β 310) - Brain Imaging Analysis Kit. Apache-2
- [GitHub](https://github.com/brainiak/brainiak) (π¨βπ» 35 Β· π 130 Β· π 200 - 38% open Β· β±οΈ 13.10.2023):
```
git clone https://github.com/brainiak/brainiak
```
-- [PyPi](https://pypi.org/project/brainiak) (π₯ 120 / month Β· π¦ 1 Β· β±οΈ 15.10.2020):
+- [PyPi](https://pypi.org/project/brainiak) (π₯ 140 / month Β· π¦ 1 Β· β±οΈ 15.10.2020):
```
pip install brainiak
```
-- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (π₯ 1.4K Β· β 1 Β· β±οΈ 15.10.2020):
+- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (π₯ 1.6K Β· β 1 Β· β±οΈ 15.10.2020):
```
docker pull brainiak/brainiak
```
@@ -4466,7 +4506,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 8 hidden projects...
- NiftyNet (π₯24 Β· β 1.3K Β· π) - [unmaintained] An open-source convolutional neural.. Apache-2 βοΈGPL-3.0
+- MedPy (π₯23 Β· β 510 Β· π€) - Medical image processing in Python. βοΈGPL-3.0
- DLTK (π₯20 Β· β 1.4K Β· π) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 Apache-2
- Medical Detection Toolkit (π₯15 Β· β 1.2K Β· π) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 carefree-learn (π₯20 Β· β 400) - Deep Learning PyTorch. MIT
+pytorch_tabular (π₯19 Β· β 1.1K) - A standard framework for modelling Deep Learning Models.. MIT
-- [GitHub](https://github.com/carefree0910/carefree-learn) (π¨βπ» 1 Β· π 37 Β· π¦ 4 Β· π 82 - 2% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/manujosephv/pytorch_tabular) (π¨βπ» 16 Β· π 110 Β· π₯ 21 Β· π 120 - 11% open Β· β±οΈ 19.07.2023):
```
- git clone https://github.com/carefree0910/carefree-learn
+ git clone https://github.com/manujosephv/pytorch_tabular
```
-- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 450 / month Β· β±οΈ 17.10.2023):
+- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 3.9K / month Β· π¦ 2 Β· β±οΈ 01.09.2021):
```
- pip install carefree-learn
+ pip install pytorch_tabular
```
pytorch_tabular (π₯19 Β· β 1K) - A standard framework for modelling Deep Learning Models for.. MIT
+carefree-learn (π₯19 Β· β 400) - Deep Learning PyTorch. MIT
-- [GitHub](https://github.com/manujosephv/pytorch_tabular) (π¨βπ» 16 Β· π 110 Β· π₯ 21 Β· π 120 - 11% open Β· β±οΈ 19.07.2023):
+- [GitHub](https://github.com/carefree0910/carefree-learn) (π¨βπ» 1 Β· π 37 Β· π¦ 4 Β· π 82 - 2% open Β· β±οΈ 21.10.2023):
```
- git clone https://github.com/manujosephv/pytorch_tabular
+ git clone https://github.com/carefree0910/carefree-learn
```
-- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 3.9K / month Β· π¦ 2 Β· β±οΈ 01.09.2021):
+- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 370 / month):
```
- pip install pytorch_tabular
+ pip install carefree-learn
```
Show 3 hidden projects...
@@ -4522,52 +4562,52 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
PaddleOCR (π₯39 Β· β 34K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 150 Β· π 6.6K Β· π¦ 1.9K Β· π 8.1K - 10% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 150 Β· π 6.6K Β· π¦ 1.9K Β· π 8.1K - 11% open Β· β±οΈ 19.10.2023):
```
git clone https://github.com/PaddlePaddle/PaddleOCR
```
-- [PyPi](https://pypi.org/project/paddleocr) (π₯ 81K / month):
+- [PyPi](https://pypi.org/project/paddleocr) (π₯ 83K / month):
```
pip install paddleocr
```
EasyOCR (π₯36 Β· β 20K) - 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 2.7K Β· π₯ 6.8M Β· π¦ 4K Β· π 880 - 33% open Β· β±οΈ 04.09.2023):
+- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 130 Β· π 2.7K Β· π₯ 6.9M Β· π¦ 4.1K Β· π 880 - 33% open Β· β±οΈ 04.09.2023):
```
git clone https://github.com/JaidedAI/EasyOCR
```
-- [PyPi](https://pypi.org/project/easyocr) (π₯ 190K / month Β· π¦ 69 Β· β±οΈ 04.09.2023):
+- [PyPi](https://pypi.org/project/easyocr) (π₯ 190K / month):
```
pip install easyocr
```
OCRmyPDF (π₯33 Β· β 10K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
-- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 86 Β· π 760 Β· π₯ 670 Β· π¦ 640 Β· π 1K - 10% open Β· β±οΈ 10.10.2023):
+- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 87 Β· π 760 Β· π₯ 740 Β· π¦ 640 Β· π 1K - 9% open Β· β±οΈ 21.10.2023):
```
git clone https://github.com/ocrmypdf/OCRmyPDF
```
-- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 48K / month Β· π¦ 17 Β· β±οΈ 10.10.2023):
+- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 52K / month):
```
pip install ocrmypdf
```
-- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (π₯ 57K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (π₯ 58K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge ocrmypdf
```
tesserocr (π₯31 Β· β 1.9K) - A Python wrapper for the tesseract-ocr API. MIT
-- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 29 Β· π 250 Β· π₯ 54 Β· π¦ 890 Β· π 260 - 17% open Β· β±οΈ 09.10.2023):
+- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 29 Β· π 250 Β· π₯ 57 Β· π¦ 890 Β· π 260 - 17% open Β· β±οΈ 09.10.2023):
```
git clone https://github.com/sirfz/tesserocr
```
-- [PyPi](https://pypi.org/project/tesserocr) (π₯ 66K / month):
+- [PyPi](https://pypi.org/project/tesserocr) (π₯ 64K / month):
```
pip install tesserocr
```
@@ -4578,7 +4618,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
Tesseract (π₯29 Β· β 5.1K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2
-- [GitHub](https://github.com/madmaze/pytesseract) (π¨βπ» 44 Β· π 660 Β· π 350 - 2% open Β· β±οΈ 15.10.2023):
+- [GitHub](https://github.com/madmaze/pytesseract) (π¨βπ» 44 Β· π 660 Β· π 350 - 2% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/madmaze/pytesseract
@@ -4592,21 +4632,21 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
conda install -c conda-forge pytesseract
```
MMOCR (π₯27 Β· β 3.7K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2
+MMOCR (π₯27 Β· β 3.8K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2
-- [GitHub](https://github.com/open-mmlab/mmocr) (π¨βπ» 85 Β· π 680 Β· π¦ 88 Β· π 880 - 16% open Β· β±οΈ 01.09.2023):
+- [GitHub](https://github.com/open-mmlab/mmocr) (π¨βπ» 85 Β· π 690 Β· π¦ 89 Β· π 850 - 13% open Β· β±οΈ 01.09.2023):
```
git clone https://github.com/open-mmlab/mmocr
```
-- [PyPi](https://pypi.org/project/mmocr) (π₯ 5.2K / month Β· π¦ 2 Β· β±οΈ 05.05.2022):
+- [PyPi](https://pypi.org/project/mmocr) (π₯ 5.5K / month):
```
pip install mmocr
```
keras-ocr (π₯24 Β· β 1.3K Β· π€) - A packaged and flexible version of the CRAFT text detector.. MIT
-- [GitHub](https://github.com/faustomorales/keras-ocr) (π¨βπ» 17 Β· π 300 Β· π₯ 670K Β· π¦ 330 Β· π 200 - 45% open Β· β±οΈ 24.12.2022):
+- [GitHub](https://github.com/faustomorales/keras-ocr) (π¨βπ» 17 Β· π 300 Β· π₯ 670K Β· π¦ 340 Β· π 200 - 45% open Β· β±οΈ 24.12.2022):
```
git clone https://github.com/faustomorales/keras-ocr
@@ -4615,28 +4655,39 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
```
pip install keras-ocr
```
-- [Conda](https://anaconda.org/anaconda/keras-ocr) (π₯ 280 Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/anaconda/keras-ocr) (π₯ 290 Β· β±οΈ 16.06.2023):
```
conda install -c anaconda keras-ocr
```
calamari (π₯22 Β· β 1K) - Line based ATR Engine based on OCRopy. Apache-2
+calamari (π₯21 Β· β 1K) - Line based ATR Engine based on OCRopy. Apache-2
- [GitHub](https://github.com/Calamari-OCR/calamari) (π¨βπ» 20 Β· π 200 Β· π 260 - 22% open Β· β±οΈ 18.08.2023):
```
git clone https://github.com/Calamari-OCR/calamari
```
-- [PyPi](https://pypi.org/project/calamari_ocr) (π₯ 1.7K / month Β· π¦ 5 Β· β±οΈ 18.08.2023):
+- [PyPi](https://pypi.org/project/calamari_ocr) (π₯ 2K / month):
```
pip install calamari_ocr
```
Show 4 hidden projects...
+attention-ocr (π₯21 Β· β 960) - A Tensorflow model for text recognition (CNN + seq2seq with.. MIT
+
+- [GitHub](https://github.com/emedvedev/attention-ocr) (π¨βπ» 28 Β· π 240 Β· π¦ 26 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₯ 240 / month):
+ ```
+ pip install aocr
+ ```
+Show 3 hidden projects...
-- pdftabextract (π₯21 Β· β 2.1K Β· π) - A set of tools for extracting tables from PDF files.. Apache-2
-- attention-ocr (π₯21 Β· β 960 Β· π) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT MIT
+- pdftabextract (π₯19 Β· β 2.1K Β· π) - A set of tools for extracting tables from PDF files.. Apache-2
+- doc2text (π₯18 Β· β 1.3K Β· π) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT
- Mozart (π₯10 Β· β 510 Β· π) - An optical music recognition (OMR) system. Converts sheet.. Apache-2
@@ -4689,12 +4740,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (π₯44 Β· β 28K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2
-- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 930 Β· π 4.7K Β· π₯ 93 Β· π¦ 12K Β· π 16K - 20% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 930 Β· π 4.7K Β· π₯ 93 Β· π¦ 12K Β· π 16K - 20% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/ray-project/ray
```
-- [PyPi](https://pypi.org/project/ray) (π₯ 2.4M / month Β· π¦ 420 Β· β±οΈ 09.10.2023):
+- [PyPi](https://pypi.org/project/ray) (π₯ 2.5M / month Β· π¦ 420 Β· β±οΈ 09.10.2023):
```
pip install ray
```
@@ -4705,12 +4756,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask (π₯43 Β· β 11K) - Parallel computing with task scheduling. BSD-3
-- [GitHub](https://github.com/dask/dask) (π¨βπ» 590 Β· π 1.6K Β· π¦ 53K Β· π 5K - 19% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/dask/dask) (π¨βπ» 590 Β· π 1.6K Β· π¦ 54K Β· π 5K - 19% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/dask/dask
```
-- [PyPi](https://pypi.org/project/dask) (π₯ 7.9M / month Β· π¦ 3K Β· β±οΈ 14.10.2023):
+- [PyPi](https://pypi.org/project/dask) (π₯ 7.5M / month Β· π¦ 3K Β· β±οΈ 14.10.2023):
```
pip install dask
```
@@ -4721,12 +4772,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
DeepSpeed (π₯41 Β· β 29K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2
-- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 250 Β· π 3.4K Β· π¦ 4.5K Β· π 2.2K - 36% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 260 Β· π 3.4K Β· π¦ 4.6K Β· π 2.2K - 36% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/microsoft/DeepSpeed
```
-- [PyPi](https://pypi.org/project/deepspeed) (π₯ 360K / month Β· π¦ 79 Β· β±οΈ 09.10.2023):
+- [PyPi](https://pypi.org/project/deepspeed) (π₯ 380K / month Β· π¦ 79 Β· β±οΈ 09.10.2023):
```
pip install deepspeed
```
@@ -4737,7 +4788,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask.distributed (π₯40 Β· β 1.5K) - A distributed task scheduler for Dask. BSD-3
-- [GitHub](https://github.com/dask/distributed) (π¨βπ» 320 Β· π 700 Β· π¦ 31K Β· π 3.7K - 38% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/dask/distributed) (π¨βπ» 320 Β· π 700 Β· π¦ 31K Β· π 3.7K - 38% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/dask/distributed
@@ -4758,14 +4809,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/horovod/horovod
```
-- [PyPi](https://pypi.org/project/horovod) (π₯ 54K / month Β· π¦ 34 Β· β±οΈ 12.06.2023):
+- [PyPi](https://pypi.org/project/horovod) (π₯ 52K / month Β· π¦ 36 Β· β±οΈ 12.06.2023):
```
pip install horovod
```
H2O-3 (π₯35 Β· β 6.5K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2
-- [GitHub](https://github.com/h2oai/h2o-3) (π¨βπ» 250 Β· π 2K Β· π¦ 19 Β· π 9.2K - 29% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/h2oai/h2o-3) (π¨βπ» 250 Β· π 2K Β· π¦ 21 Β· π 9.2K - 29% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/h2oai/h2o-3
@@ -4775,14 +4826,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
pip install h2o
```
BigDL (π₯35 Β· β 4.4K) - Accelerate LLM with low-bit (INT3 / INT4 / NF4 / INT5 / INT8).. Apache-2
+BigDL (π₯35 Β· β 4.5K) - Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations.. Apache-2
-- [GitHub](https://github.com/intel-analytics/BigDL) (π¨βπ» 180 Β· π 1.1K Β· π¦ 45 Β· π 2.1K - 38% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/intel-analytics/BigDL) (π¨βπ» 190 Β· π 1.1K Β· π¦ 45 Β· π 2.1K - 38% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/intel-analytics/BigDL
```
-- [PyPi](https://pypi.org/project/bigdl) (π₯ 6.4K / month Β· π¦ 1 Β· β±οΈ 19.10.2023):
+- [PyPi](https://pypi.org/project/bigdl) (π₯ 6.6K / month Β· π¦ 1 Β· β±οΈ 26.10.2023):
```
pip install bigdl
```
@@ -4797,12 +4848,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
metrics (π₯35 Β· β 1.7K) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 220 Β· π 330 Β· π₯ 4K Β· π¦ 16K Β· π 710 - 7% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 220 Β· π 330 Β· π₯ 4.1K Β· π¦ 16K Β· π 720 - 7% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/Lightning-AI/metrics
```
-- [PyPi](https://pypi.org/project/metrics) (π₯ 7.1K / month Β· π¦ 13 Β· β±οΈ 28.04.2018):
+- [PyPi](https://pypi.org/project/metrics) (π₯ 5.8K / month):
```
pip install metrics
```
@@ -4813,7 +4864,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
ColossalAI (π₯34 Β· β 35K) - Making large AI models cheaper, faster and more accessible. Apache-2
-- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 160 Β· π 3.9K Β· π¦ 260 Β· π 1.4K - 21% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 160 Β· π 3.9K Β· π¦ 260 Β· π 1.4K - 21% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/hpcaitech/colossalai
@@ -4821,12 +4872,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
FairScale (π₯31 Β· β 2.6K) - PyTorch extensions for high performance and large scale training. BSD-3
-- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 72 Β· π 240 Β· π¦ 3.2K Β· π 350 - 19% open Β· β±οΈ 20.04.2023):
+- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 72 Β· π 240 Β· π¦ 3.3K Β· π 350 - 19% open Β· β±οΈ 20.04.2023):
```
git clone https://github.com/facebookresearch/fairscale
```
-- [PyPi](https://pypi.org/project/fairscale) (π₯ 490K / month Β· π¦ 58 Β· β±οΈ 11.12.2022):
+- [PyPi](https://pypi.org/project/fairscale) (π₯ 480K / month):
```
pip install fairscale
```
@@ -4835,21 +4886,9 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge fairscale
```
SynapseML (π₯29 Β· β 4.6K) - Simple and Distributed Machine Learning. MIT
-
-- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 110 Β· π 790 Β· π 710 - 44% open Β· β±οΈ 18.10.2023):
-
- ```
- git clone https://github.com/microsoft/SynapseML
- ```
-- [PyPi](https://pypi.org/project/synapseml) (π₯ 300K / month Β· π¦ 3 Β· β±οΈ 26.09.2023):
- ```
- pip install synapseml
- ```
-mpi4py (π₯29 Β· β 700) - Python bindings for MPI. BSD-2
-- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 26 Β· π 100 Β· π₯ 17K Β· π 130 - 8% open Β· β±οΈ 13.10.2023):
+- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 26 Β· π 100 Β· π₯ 18K Β· π 130 - 8% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/mpi4py/mpi4py
@@ -4863,6 +4902,18 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge mpi4py
```
SynapseML (π₯28 Β· β 4.6K) - Simple and Distributed Machine Learning. MIT
+
+- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 110 Β· π 760 Β· π 690 - 42% open Β· β±οΈ 21.10.2023):
+
+ ```
+ git clone https://github.com/microsoft/SynapseML
+ ```
+- [PyPi](https://pypi.org/project/synapseml) (π₯ 280K / month):
+ ```
+ pip install synapseml
+ ```
+Submit it (π₯28 Β· β 970) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT
- [GitHub](https://github.com/facebookincubator/submitit) (π¨βπ» 23 Β· π 100 Β· π¦ 1.7K Β· π 110 - 32% open Β· β±οΈ 05.10.2023):
@@ -4870,7 +4921,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/facebookincubator/submitit
```
-- [PyPi](https://pypi.org/project/submitit) (π₯ 150K / month Β· π¦ 15 Β· β±οΈ 05.10.2023):
+- [PyPi](https://pypi.org/project/submitit) (π₯ 160K / month Β· π¦ 15 Β· β±οΈ 05.10.2023):
```
pip install submitit
```
@@ -4886,11 +4937,11 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/dask/dask-ml
```
-- [PyPi](https://pypi.org/project/dask-ml) (π₯ 330K / month Β· π¦ 72 Β· β±οΈ 06.05.2020):
+- [PyPi](https://pypi.org/project/dask-ml) (π₯ 370K / month Β· π¦ 72 Β· β±οΈ 06.05.2020):
```
pip install dask-ml
```
-- [Conda](https://anaconda.org/conda-forge/dask-ml) (π₯ 770K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/dask-ml) (π₯ 780K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge dask-ml
```
@@ -4902,7 +4953,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/yahoo/TensorFlowOnSpark
```
-- [PyPi](https://pypi.org/project/tensorflowonspark) (π₯ 450K / month Β· π¦ 5 Β· β±οΈ 21.04.2022):
+- [PyPi](https://pypi.org/project/tensorflowonspark) (π₯ 460K / month Β· π¦ 5 Β· β±οΈ 21.04.2022):
```
pip install tensorflowonspark
```
@@ -4918,7 +4969,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/tensorflow/mesh
```
-- [PyPi](https://pypi.org/project/mesh-tensorflow) (π₯ 23K / month Β· π¦ 33 Β· β±οΈ 15.05.2022):
+- [PyPi](https://pypi.org/project/mesh-tensorflow) (π₯ 30K / month Β· π¦ 33 Β· β±οΈ 15.05.2022):
```
pip install mesh-tensorflow
```
@@ -4930,7 +4981,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/uber/petastorm
```
-- [PyPi](https://pypi.org/project/petastorm) (π₯ 30K / month Β· π¦ 8 Β· β±οΈ 03.02.2023):
+- [PyPi](https://pypi.org/project/petastorm) (π₯ 29K / month Β· π¦ 8 Β· β±οΈ 03.02.2023):
```
pip install petastorm
```
@@ -4942,14 +4993,14 @@ _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₯ 3.4K / month Β· π¦ 6 Β· β±οΈ 31.08.2023):
+- [PyPi](https://pypi.org/project/hivemind) (π₯ 3K / month Β· π¦ 6 Β· β±οΈ 31.08.2023):
```
pip install hivemind
```
MMLSpark (π₯23 Β· β 4.6K) - Simple and Distributed Machine Learning. MIT
-- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 110 Β· π 790 Β· π 710 - 44% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 110 Β· π 790 Β· π 710 - 44% open Β· β±οΈ 21.10.2023):
```
git clone https://github.com/microsoft/SynapseML
@@ -4959,49 +5010,37 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
pip install mmlspark
```
analytics-zoo (π₯23 Β· β 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2
+Apache Singa (π₯23 Β· β 3K) - a distributed deep learning platform. Apache-2
-- [GitHub](https://github.com/intel-analytics/analytics-zoo) (π¨βπ» 110 Β· π 730 Β· π¦ 4 Β· π 1.4K - 38% open Β· β±οΈ 06.09.2023):
+- [GitHub](https://github.com/apache/singa) (π¨βπ» 85 Β· π 1K Β· π¦ 2 Β· π 120 - 42% open Β· β±οΈ 25.10.2023):
```
- git clone https://github.com/intel-analytics/analytics-zoo
- ```
-- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 900 / month Β· π¦ 1 Β· β±οΈ 07.07.2022):
- ```
- pip install analytics-zoo
+ git clone https://github.com/apache/singa
```
-launchpad (π₯22 Β· β 300) - Launchpad is a library that simplifies writing distributed.. Apache-2
-
-- [GitHub](https://github.com/google-deepmind/launchpad) (π¨βπ» 28 Β· π 33 Β· π¦ 70 Β· π 38 - 44% open Β· β±οΈ 22.08.2023):
-
+- [Conda](https://anaconda.org/nusdbsystem/singa) (π₯ 720 Β· β±οΈ 16.06.2023):
```
- git clone https://github.com/deepmind/launchpad
+ conda install -c nusdbsystem singa
```
-- [PyPi](https://pypi.org/project/dm-launchpad) (π₯ 2.4K / month Β· π¦ 1 Β· β±οΈ 28.04.2022):
+- [Docker Hub](https://hub.docker.com/r/apache/singa) (π₯ 4.2K Β· β 4 Β· β±οΈ 31.05.2022):
```
- pip install dm-launchpad
+ docker pull apache/singa
```
Apache Singa (π₯21 Β· β 3K) - a distributed deep learning platform. Apache-2
+analytics-zoo (π₯23 Β· β 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2
-- [GitHub](https://github.com/apache/singa) (π¨βπ» 81 Β· π 1K Β· π¦ 2 Β· π 120 - 42% open Β· β±οΈ 02.04.2023):
+- [GitHub](https://github.com/intel-analytics/analytics-zoo) (π¨βπ» 110 Β· π 730 Β· π¦ 4 Β· π 1.4K - 38% open Β· β±οΈ 06.09.2023):
```
- git clone https://github.com/apache/singa
- ```
-- [Conda](https://anaconda.org/nusdbsystem/singa) (π₯ 710 Β· β±οΈ 16.06.2023):
- ```
- conda install -c nusdbsystem singa
+ git clone https://github.com/intel-analytics/analytics-zoo
```
-- [Docker Hub](https://hub.docker.com/r/apache/singa) (π₯ 4.1K Β· β 4 Β· β±οΈ 31.05.2022):
+- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 1K / month Β· π¦ 1 Β· β±οΈ 07.07.2022):
```
- docker pull apache/singa
+ pip install analytics-zoo
```
mesh-transformer-jax (π₯18 Β· β 6.1K Β· π€) - Model parallel transformers in JAX and Haiku. Apache-2
-- [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (π¨βπ» 23 Β· π 870 Β· π¦ 18 Β· π 200 - 20% open Β· β±οΈ 12.01.2023):
+- [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (π¨βπ» 23 Β· π 870 Β· π¦ 20 Β· π 200 - 21% open Β· β±οΈ 12.01.2023):
```
git clone https://github.com/kingoflolz/mesh-transformer-jax
@@ -5015,15 +5054,16 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
git clone https://github.com/facebookresearch/moolib
```
Show 12 hidden projects...
+Show 13 hidden projects...
-- DEAP (π₯34 Β· β 5.3K) - Distributed Evolutionary Algorithms in Python. βοΈLGPL-3.0
+- DEAP (π₯33 Β· β 5.3K) - Distributed Evolutionary Algorithms in Python. βοΈLGPL-3.0
- ipyparallel (π₯29 Β· β 2.5K) - IPython Parallel: Interactive Parallel Computing in.. βUnlicensed MIT keras MIT keras Apache-2
- somoclu (π₯21 Β· β 250 Β· π) - Massively parallel self-organizing maps: accelerate training on.. MIT
- TensorFrames (π₯20 Β· β 750 Β· π) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 Apache-2 Apache-2 Apache-2
- parallelformers (π₯17 Β· β 720 Β· π) - Parallelformers: An Efficient Model Parallelization.. Apache-2
- bluefog (π₯17 Β· β 290 Β· π€) - Distributed and decentralized training framework for PyTorch.. Apache-2 NNI (π₯34 Β· β 13K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT
-- [GitHub](https://github.com/microsoft/nni) (π¨βπ» 190 Β· π 1.8K Β· π¦ 490 Β· π 2K - 16% open Β· β±οΈ 07.08.2023):
+- [GitHub](https://github.com/microsoft/nni) (π¨βπ» 190 Β· π 1.8K Β· π¦ 490 Β· π 2K - 16% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/microsoft/nni
```
-- [PyPi](https://pypi.org/project/nni) (π₯ 22K / month Β· π¦ 35 Β· β±οΈ 14.09.2023):
+- [PyPi](https://pypi.org/project/nni) (π₯ 21K / month Β· π¦ 35 Β· β±οΈ 14.09.2023):
```
pip install nni
```
featuretools (π₯34 Β· β 6.8K) - An open source python library for automated feature engineering. BSD-3
-- [GitHub](https://github.com/alteryx/featuretools) (π¨βπ» 71 Β· π 840 Β· π¦ 1.4K Β· π 970 - 17% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/alteryx/featuretools) (π¨βπ» 71 Β· π 840 Β· π¦ 1.4K Β· π 970 - 17% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/alteryx/featuretools
@@ -5068,7 +5108,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (π₯34 Β· β 2.2K) - Adaptive Experimentation Platform. MIT
-- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 150 Β· π 270 Β· π¦ 560 Β· π 610 - 8% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 150 Β· π 270 Β· π¦ 560 Β· π 610 - 8% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/facebook/Ax
@@ -5093,30 +5133,30 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
pip install hyperopt
```
-- [Conda](https://anaconda.org/conda-forge/hyperopt) (π₯ 730K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/hyperopt) (π₯ 740K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge hyperopt
```
BoTorch (π₯33 Β· β 2.8K) - Bayesian optimization in PyTorch. MIT
-- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 100 Β· π 330 Β· π¦ 700 Β· π 450 - 15% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 100 Β· π 330 Β· π¦ 710 Β· π 450 - 15% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/pytorch/botorch
```
-- [PyPi](https://pypi.org/project/botorch) (π₯ 190K / month Β· π¦ 31 Β· β±οΈ 11.08.2023):
+- [PyPi](https://pypi.org/project/botorch) (π₯ 170K / month Β· π¦ 31 Β· β±οΈ 11.08.2023):
```
pip install botorch
```
-- [Conda](https://anaconda.org/conda-forge/botorch) (π₯ 88K Β· β±οΈ 11.08.2023):
+- [Conda](https://anaconda.org/conda-forge/botorch) (π₯ 89K Β· β±οΈ 11.08.2023):
```
conda install -c conda-forge botorch
```
Keras Tuner (π₯32 Β· β 2.8K) - A Hyperparameter Tuning Library for Keras. Apache-2
-- [GitHub](https://github.com/keras-team/keras-tuner) (π¨βπ» 58 Β· π 380 Β· π¦ 2.8K Β· π 460 - 43% open Β· β±οΈ 12.10.2023):
+- [GitHub](https://github.com/keras-team/keras-tuner) (π¨βπ» 59 Β· π 380 Β· π¦ 2.8K Β· π 460 - 43% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/keras-team/keras-tuner
@@ -5125,7 +5165,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
pip install keras-tuner
```
-- [Conda](https://anaconda.org/conda-forge/keras-tuner) (π₯ 25K Β· β±οΈ 15.06.2023):
+- [Conda](https://anaconda.org/conda-forge/keras-tuner) (π₯ 25K Β· β±οΈ 24.10.2023):
```
conda install -c conda-forge keras-tuner
```
@@ -5137,19 +5177,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/keras-team/autokeras
```
-- [PyPi](https://pypi.org/project/autokeras) (π₯ 14K / month Β· π¦ 11 Β· β±οΈ 30.04.2022):
+- [PyPi](https://pypi.org/project/autokeras) (π₯ 13K / month Β· π¦ 11 Β· β±οΈ 30.04.2022):
```
pip install autokeras
```
auto-sklearn (π₯31 Β· β 7.2K) - Automated Machine Learning with scikit-learn. BSD-3
-- [GitHub](https://github.com/automl/auto-sklearn) (π¨βπ» 88 Β· π 1.2K Β· π₯ 50 Β· π¦ 490 Β· π 1K - 17% open Β· β±οΈ 18.04.2023):
+- [GitHub](https://github.com/automl/auto-sklearn) (π¨βπ» 88 Β· π 1.2K Β· π₯ 50 Β· π¦ 500 Β· π 1K - 17% open Β· β±οΈ 18.04.2023):
```
git clone https://github.com/automl/auto-sklearn
```
-- [PyPi](https://pypi.org/project/auto-sklearn) (π₯ 27K / month Β· π¦ 39 Β· β±οΈ 20.09.2022):
+- [PyPi](https://pypi.org/project/auto-sklearn) (π₯ 25K / month Β· π¦ 39 Β· β±οΈ 20.09.2022):
```
pip install auto-sklearn
```
@@ -5158,14 +5198,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
conda install -c conda-forge auto-sklearn
```
Bayesian Optimization (π₯31 Β· β 7K) - A Python implementation of global optimization with.. MIT
+Bayesian Optimization (π₯31 Β· β 7.1K) - A Python implementation of global optimization with.. MIT
- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (π¨βπ» 41 Β· π 1.5K Β· π₯ 140 Β· π¦ 2.1K Β· π 320 - 4% open Β· β±οΈ 14.07.2023):
```
git clone https://github.com/fmfn/BayesianOptimization
```
-- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 190K / month Β· π¦ 100 Β· β±οΈ 25.04.2023):
+- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 200K / month Β· π¦ 100 Β· β±οΈ 25.04.2023):
```
pip install bayesian-optimization
```
@@ -5177,7 +5217,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/facebookresearch/nevergrad
```
-- [PyPi](https://pypi.org/project/nevergrad) (π₯ 81K / month Β· π¦ 27 Β· β±οΈ 10.10.2023):
+- [PyPi](https://pypi.org/project/nevergrad) (π₯ 83K / month Β· π¦ 27 Β· β±οΈ 10.10.2023):
```
pip install nevergrad
```
@@ -5186,14 +5226,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
conda install -c conda-forge nevergrad
```
AutoGluon (π₯29 Β· β 6.3K) - AutoGluon: AutoML for Image, Text, Time Series, and.. Apache-2
+AutoGluon (π₯29 Β· β 6.4K) - AutoGluon: AutoML for Image, Text, Time Series, and.. Apache-2
-- [GitHub](https://github.com/autogluon/autogluon) (π¨βπ» 110 Β· π 770 Β· π¦ 2 Β· π 1.1K - 23% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/autogluon/autogluon) (π¨βπ» 110 Β· π 770 Β· π¦ 2 Β· π 1.1K - 23% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/autogluon/autogluon
```
-- [PyPi](https://pypi.org/project/autogluon) (π₯ 45K / month Β· π¦ 7 Β· β±οΈ 19.10.2023):
+- [PyPi](https://pypi.org/project/autogluon) (π₯ 48K / month Β· π¦ 7 Β· β±οΈ 25.10.2023):
```
pip install autogluon
```
@@ -5209,7 +5249,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/mljar/mljar-supervised
```
-- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 6.2K / month Β· π¦ 2 Β· β±οΈ 26.09.2023):
+- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 5.8K / month Β· π¦ 2 Β· β±οΈ 26.09.2023):
```
pip install mljar-supervised
```
@@ -5237,81 +5277,81 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/SheffieldML/GPyOpt
```
-- [PyPi](https://pypi.org/project/gpyopt) (π₯ 7.6K / month Β· π¦ 38 Β· β±οΈ 19.03.2020):
+- [PyPi](https://pypi.org/project/gpyopt) (π₯ 7.3K / month Β· π¦ 38 Β· β±οΈ 19.03.2020):
```
pip install gpyopt
```
FEDOT (π₯24 Β· β 560) - Automated modeling and machine learning framework FEDOT. BSD-3
-- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 29 Β· π 77 Β· π¦ 40 Β· π 490 - 15% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 29 Β· π 77 Β· π¦ 41 Β· π 490 - 15% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/nccr-itmo/FEDOT
```
-- [PyPi](https://pypi.org/project/fedot) (π₯ 1.1K / month Β· π¦ 1 Β· β±οΈ 25.07.2023):
+- [PyPi](https://pypi.org/project/fedot) (π₯ 1.2K / month Β· π¦ 1 Β· β±οΈ 25.07.2023):
```
pip install fedot
```
Hyperactive (π₯23 Β· β 470) - An optimization and data collection toolbox for convenient and fast.. MIT
+featurewiz (π₯23 Β· β 480) - Use advanced feature engineering strategies and select best.. Apache-2
-- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 7 Β· π 41 Β· π₯ 130 Β· π¦ 21 Β· π 62 - 17% open Β· β±οΈ 13.10.2023):
+- [GitHub](https://github.com/AutoViML/featurewiz) (π¨βπ» 9 Β· π 76 Β· π¦ 53 Β· π 74 - 6% open Β· β±οΈ 25.10.2023):
```
- git clone https://github.com/SimonBlanke/Hyperactive
+ git clone https://github.com/AutoViML/featurewiz
```
-- [PyPi](https://pypi.org/project/hyperactive) (π₯ 2.5K / month Β· π¦ 5 Β· β±οΈ 27.08.2023):
+- [PyPi](https://pypi.org/project/featurewiz) (π₯ 8.9K / month Β· π¦ 2 Β· β±οΈ 05.10.2023):
```
- pip install hyperactive
+ pip install featurewiz
```
featurewiz (π₯22 Β· β 480) - Use advanced feature engineering strategies and select best.. Apache-2
+Hyperactive (π₯23 Β· β 470) - An optimization and data collection toolbox for convenient and fast.. MIT
-- [GitHub](https://github.com/AutoViML/featurewiz) (π¨βπ» 9 Β· π 75 Β· π¦ 53 Β· π 72 - 4% open Β· β±οΈ 06.10.2023):
+- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 7 Β· π 41 Β· π₯ 130 Β· π¦ 21 Β· π 61 - 14% open Β· β±οΈ 24.10.2023):
```
- git clone https://github.com/AutoViML/featurewiz
+ git clone https://github.com/SimonBlanke/Hyperactive
```
-- [PyPi](https://pypi.org/project/featurewiz) (π₯ 8.7K / month Β· π¦ 2 Β· β±οΈ 05.10.2023):
+- [PyPi](https://pypi.org/project/hyperactive) (π₯ 4K / month Β· π¦ 5 Β· β±οΈ 24.10.2023):
```
- pip install featurewiz
+ pip install hyperactive
```
Auto ViML (π₯20 Β· β 470) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2
+Auto ViML (π₯21 Β· β 470) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2
- [GitHub](https://github.com/AutoViML/Auto_ViML) (π¨βπ» 8 Β· π 94 Β· π¦ 22 Β· π 29 - 13% open Β· β±οΈ 21.05.2023):
```
git clone https://github.com/AutoViML/Auto_ViML
```
-- [PyPi](https://pypi.org/project/autoviml) (π₯ 1.1K / month Β· π¦ 2 Β· β±οΈ 01.06.2022):
+- [PyPi](https://pypi.org/project/autoviml) (π₯ 1.2K / month Β· π¦ 2 Β· β±οΈ 01.06.2022):
```
pip install autoviml
```
igel (π₯19 Β· β 3.1K) - a delightful machine learning tool that allows you to train, test, and use.. MIT
+AlphaPy (π₯20 Β· β 980) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2
-- [GitHub](https://github.com/nidhaloff/igel) (π¨βπ» 20 Β· π 170 Β· π₯ 40 Β· π¦ 4 Β· π 50 - 12% open Β· β±οΈ 08.04.2023):
+- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (π¨βπ» 5 Β· π 180 Β· π¦ 4 Β· π 42 - 30% open Β· β±οΈ 31.08.2023):
```
- git clone https://github.com/nidhaloff/igel
+ git clone https://github.com/ScottfreeLLC/AlphaPy
```
-- [PyPi](https://pypi.org/project/igel) (π₯ 29 / month Β· β±οΈ 19.11.2021):
+- [PyPi](https://pypi.org/project/alphapy) (π₯ 170 / month Β· β±οΈ 29.08.2020):
```
- pip install igel
+ pip install alphapy
```
AlphaPy (π₯19 Β· β 970) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2
+igel (π₯19 Β· β 3.1K) - a delightful machine learning tool that allows you to train, test, and use.. MIT
-- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (π¨βπ» 5 Β· π 180 Β· π¦ 4 Β· π 42 - 30% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/nidhaloff/igel) (π¨βπ» 20 Β· π 170 Β· π₯ 40 Β· π¦ 4 Β· π 50 - 12% open Β· β±οΈ 08.04.2023):
```
- git clone https://github.com/ScottfreeLLC/AlphaPy
+ git clone https://github.com/nidhaloff/igel
```
-- [PyPi](https://pypi.org/project/alphapy) (π₯ 140 / month Β· β±οΈ 29.08.2020):
+- [PyPi](https://pypi.org/project/igel) (π₯ 78 / month Β· β±οΈ 19.11.2021):
```
- pip install alphapy
+ pip install igel
```
Dragonfly (π₯19 Β· β 800 Β· π€) - An open source python library for scalable Bayesian optimisation. MIT
@@ -5321,7 +5361,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/dragonfly/dragonfly
```
-- [PyPi](https://pypi.org/project/dragonfly-opt) (π₯ 38K / month Β· π¦ 2 Β· β±οΈ 01.10.2022):
+- [PyPi](https://pypi.org/project/dragonfly-opt) (π₯ 32K / month Β· π¦ 2 Β· β±οΈ 01.10.2022):
```
pip install dragonfly-opt
```
@@ -5333,7 +5373,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/gugarosa/opytimizer
```
-- [PyPi](https://pypi.org/project/opytimizer) (π₯ 260 / month Β· β±οΈ 04.05.2022):
+- [PyPi](https://pypi.org/project/opytimizer) (π₯ 280 / month Β· β±οΈ 04.05.2022):
```
pip install opytimizer
```
@@ -5352,12 +5392,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
- MLBox (π₯22 Β· β 1.4K Β· π) - MLBox is a powerful Automated Machine Learning python library. βοΈBSD-1-Clause
- Test Tube (π₯22 Β· β 740 Β· π) - Python library to easily log experiments and parallelize.. MIT
- HpBandSter (π₯22 Β· β 590 Β· π) - a distributed Hyperband implementation on Steroids. BSD-3
+- lightwood (π₯22 Β· β 380) - Lightwood is Legos for Machine Learning. βοΈGPL-3.0 Apache-2
- optunity (π₯21 Β· β 410 Β· π) - optimization routines for hyperparameter tuning. BSD-3
-- lightwood (π₯21 Β· β 380) - Lightwood is Legos for Machine Learning. βοΈGPL-3.0 MIT MIT
-- shap-hypetune (π₯18 Β· β 490 Β· π) - A python package for simultaneous Hyperparameters Tuning and.. MIT
+- shap-hypetune (π₯18 Β· β 500 Β· π) - A python package for simultaneous Hyperparameters Tuning and.. MIT
- Sherpa (π₯18 Β· β 320 Β· π) - Hyperparameter optimization that enables researchers to.. βοΈGPL-3.0
- Advisor (π₯17 Β· β 1.5K Β· π) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2
- automl-gs (π₯16 Β· β 1.8K Β· π) - Provide an input CSV and a target field to predict, generate a.. MIT
@@ -5381,12 +5421,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
OpenAI Gym (π₯40 Β· β 33K Β· π€) - A toolkit for developing and comparing reinforcement learning.. MIT
-- [GitHub](https://github.com/openai/gym) (π¨βπ» 380 Β· π 8.6K Β· π¦ 46K Β· π 1.8K - 3% open Β· β±οΈ 30.01.2023):
+- [GitHub](https://github.com/openai/gym) (π¨βπ» 380 Β· π 8.6K Β· π¦ 47K Β· π 1.8K - 3% open Β· β±οΈ 30.01.2023):
```
git clone https://github.com/openai/gym
```
-- [PyPi](https://pypi.org/project/gym) (π₯ 400K / month Β· π¦ 2.7K Β· β±οΈ 04.10.2022):
+- [PyPi](https://pypi.org/project/gym) (π₯ 410K / month Β· π¦ 2.7K Β· β±οΈ 04.10.2022):
```
pip install gym
```
@@ -5402,7 +5442,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/tensorflow/agents
```
-- [PyPi](https://pypi.org/project/tf-agents) (π₯ 34K / month Β· π¦ 5 Β· β±οΈ 03.10.2023):
+- [PyPi](https://pypi.org/project/tf-agents) (π₯ 35K / month Β· π¦ 5 Β· β±οΈ 03.10.2023):
```
pip install tf-agents
```
@@ -5414,14 +5454,14 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/mwydmuch/ViZDoom
```
-- [PyPi](https://pypi.org/project/vizdoom) (π₯ 3.4K / month Β· π¦ 16 Β· β±οΈ 27.09.2023):
+- [PyPi](https://pypi.org/project/vizdoom) (π₯ 2.7K / month Β· π¦ 16 Β· β±οΈ 27.09.2023):
```
pip install vizdoom
```
FinRL (π₯29 Β· β 8.2K) - FinRL: Financial Reinforcement Learning. MIT
-- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 110 Β· π 2K Β· π¦ 23 Β· π 640 - 26% open Β· β±οΈ 12.10.2023):
+- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 110 Β· π 2K Β· π¦ 23 Β· π 640 - 26% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/AI4Finance-Foundation/FinRL
@@ -5431,42 +5471,42 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
pip install finrl
```
Acme (π₯28 Β· β 3.2K) - A library of reinforcement learning components and agents. Apache-2
+Dopamine (π₯28 Β· β 10K) - Dopamine is a research framework for fast prototyping of.. Apache-2
-- [GitHub](https://github.com/google-deepmind/acme) (π¨βπ» 84 Β· π 400 Β· π¦ 170 Β· π 260 - 21% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/google/dopamine) (π¨βπ» 15 Β· π 1.4K Β· π¦ 21 Β· π 180 - 52% open Β· β±οΈ 29.06.2023):
```
- git clone https://github.com/deepmind/acme
- ```
-- [PyPi](https://pypi.org/project/dm-acme) (π₯ 1.1K / month Β· π¦ 3 Β· β±οΈ 10.02.2022):
- ```
- pip install dm-acme
+ git clone https://github.com/google/dopamine
```
-- [Conda](https://anaconda.org/conda-forge/dm-acme) (π₯ 7.7K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/dopamine-rl) (π₯ 39K / month Β· π¦ 36 Β· β±οΈ 21.09.2022):
```
- conda install -c conda-forge dm-acme
+ pip install dopamine-rl
```
Dopamine (π₯27 Β· β 10K) - Dopamine is a research framework for fast prototyping of.. Apache-2
+Acme (π₯28 Β· β 3.2K) - A library of reinforcement learning components and agents. Apache-2
-- [GitHub](https://github.com/google/dopamine) (π¨βπ» 15 Β· π 1.4K Β· π¦ 19 Β· π 180 - 52% open Β· β±οΈ 29.06.2023):
+- [GitHub](https://github.com/google-deepmind/acme) (π¨βπ» 84 Β· π 400 Β· π¦ 170 Β· π 260 - 21% open Β· β±οΈ 20.10.2023):
```
- git clone https://github.com/google/dopamine
+ git clone https://github.com/deepmind/acme
```
-- [PyPi](https://pypi.org/project/dopamine-rl) (π₯ 36K / month Β· π¦ 36 Β· β±οΈ 21.09.2022):
+- [PyPi](https://pypi.org/project/dm-acme) (π₯ 1K / month Β· π¦ 3 Β· β±οΈ 10.02.2022):
```
- pip install dopamine-rl
+ pip install dm-acme
+ ```
+- [Conda](https://anaconda.org/conda-forge/dm-acme) (π₯ 7.7K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge dm-acme
```
TensorLayer (π₯27 Β· β 7.2K Β· π€) - Deep Learning and Reinforcement Learning Library for.. Apache-2
-- [GitHub](https://github.com/tensorlayer/TensorLayer) (π¨βπ» 130 Β· π 1.6K Β· π₯ 1.6K Β· π 470 - 6% open Β· β±οΈ 18.02.2023):
+- [GitHub](https://github.com/tensorlayer/TensorLayer) (π¨βπ» 130 Β· π 1.6K Β· π₯ 1.7K Β· π 470 - 6% open Β· β±οΈ 18.02.2023):
```
git clone https://github.com/tensorlayer/tensorlayer
```
-- [PyPi](https://pypi.org/project/tensorlayer) (π₯ 1.5K / month Β· π¦ 40 Β· β±οΈ 15.02.2022):
+- [PyPi](https://pypi.org/project/tensorlayer) (π₯ 1.4K / month Β· π¦ 40 Β· β±οΈ 15.02.2022):
```
pip install tensorlayer
```
@@ -5478,31 +5518,31 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/tensorforce/tensorforce
```
-- [PyPi](https://pypi.org/project/tensorforce) (π₯ 570 / month Β· π¦ 2 Β· β±οΈ 30.08.2021):
+- [PyPi](https://pypi.org/project/tensorforce) (π₯ 540 / month Β· π¦ 2 Β· β±οΈ 30.08.2021):
```
pip install tensorforce
```
RLax (π₯26 Β· β 1.1K) - A library of reinforcement learning building blocks in JAX. Apache-2
-- [GitHub](https://github.com/google-deepmind/rlax) (π¨βπ» 21 Β· π 78 Β· π¦ 170 Β· π 30 - 40% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/google-deepmind/rlax) (π¨βπ» 21 Β· π 79 Β· π¦ 170 Β· π 30 - 40% open Β· β±οΈ 17.10.2023):
```
git clone https://github.com/deepmind/rlax
```
-- [PyPi](https://pypi.org/project/rlax) (π₯ 320K / month Β· π¦ 2 Β· β±οΈ 09.01.2023):
+- [PyPi](https://pypi.org/project/rlax) (π₯ 340K / month Β· π¦ 2 Β· β±οΈ 09.01.2023):
```
pip install rlax
```
PARL (π₯25 Β· β 3.1K) - A high-performance distributed training framework for Reinforcement.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PARL) (π¨βπ» 41 Β· π 810 Β· π¦ 120 Β· π 500 - 20% open Β· β±οΈ 19.05.2023):
+- [GitHub](https://github.com/PaddlePaddle/PARL) (π¨βπ» 42 Β· π 810 Β· π¦ 120 Β· π 500 - 20% open Β· β±οΈ 19.05.2023):
```
git clone https://github.com/PaddlePaddle/PARL
```
-- [PyPi](https://pypi.org/project/parl) (π₯ 550 / month Β· π¦ 1 Β· β±οΈ 13.05.2022):
+- [PyPi](https://pypi.org/project/parl) (π₯ 500 / month Β· π¦ 1 Β· β±οΈ 13.05.2022):
```
pip install parl
```
@@ -5514,19 +5554,19 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/rlworkgroup/garage
```
-- [PyPi](https://pypi.org/project/garage) (π₯ 560 / month Β· π¦ 2 Β· β±οΈ 23.03.2021):
+- [PyPi](https://pypi.org/project/garage) (π₯ 590 / month Β· π¦ 2 Β· β±οΈ 23.03.2021):
```
pip install garage
```
ReAgent (π₯22 Β· β 3.5K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3
+ReAgent (π₯23 Β· β 3.5K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3
- [GitHub](https://github.com/facebookresearch/ReAgent) (π¨βπ» 160 Β· π 500 Β· π 140 - 47% open Β· β±οΈ 05.10.2023):
```
git clone https://github.com/facebookresearch/ReAgent
```
-- [PyPi](https://pypi.org/project/reagent) (π₯ 19 / month Β· β±οΈ 27.05.2020):
+- [PyPi](https://pypi.org/project/reagent) (π₯ 22 / month Β· β±οΈ 27.05.2020):
```
pip install reagent
```
@@ -5538,7 +5578,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/pfnet/pfrl
```
-- [PyPi](https://pypi.org/project/pfrl) (π₯ 380 / month Β· π¦ 1 Β· β±οΈ 16.07.2023):
+- [PyPi](https://pypi.org/project/pfrl) (π₯ 470 / month Β· π¦ 1 Β· β±οΈ 16.07.2023):
```
pip install pfrl
```
@@ -5550,7 +5590,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/IntelLabs/coach
```
-- [PyPi](https://pypi.org/project/rl_coach) (π₯ 68 / month Β· π¦ 2 Β· β±οΈ 10.10.2019):
+- [PyPi](https://pypi.org/project/rl_coach) (π₯ 89 / month Β· π¦ 2 Β· β±οΈ 10.10.2019):
```
pip install rl_coach
```
@@ -5574,8 +5614,8 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
- Stable Baselines (π₯24 Β· β 3.9K Β· π) - A fork of OpenAI Baselines, implementations of.. MIT
- ChainerRL (π₯24 Β· β 1.1K 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 MIT
- DeepMind Lab (π₯17 Β· β 6.9K Β· π€) - A customisable 3D platform for agent-based AI research. βUnlicensed
+- SerpentAI (π₯16 Β· β 6.6K Β· π) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT
- Maze (π₯12 Β· β 250 Β· π€) - Maze Applied Reinforcement Learning Framework. βοΈCustom
@@ -5588,24 +5628,24 @@ _Libraries for building and evaluating recommendation systems._
Recommenders (π₯34 Β· β 17K) - Best Practices on Recommendation Systems. MIT
-- [GitHub](https://github.com/recommenders-team/recommenders) (π¨βπ» 130 Β· π 2.8K Β· π₯ 440 Β· π¦ 86 Β· π 810 - 20% open Β· β±οΈ 13.10.2023):
+- [GitHub](https://github.com/recommenders-team/recommenders) (π¨βπ» 130 Β· π 2.8K Β· π₯ 440 Β· π¦ 87 Β· π 810 - 20% open Β· β±οΈ 13.10.2023):
```
git clone https://github.com/microsoft/recommenders
```
-- [PyPi](https://pypi.org/project/recommenders) (π₯ 51K / month Β· π¦ 2 Β· β±οΈ 01.04.2022):
+- [PyPi](https://pypi.org/project/recommenders) (π₯ 52K / month Β· π¦ 2 Β· β±οΈ 01.04.2022):
```
pip install recommenders
```
implicit (π₯31 Β· β 3.3K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT
-- [GitHub](https://github.com/benfred/implicit) (π¨βπ» 34 Β· π 600 Β· π₯ 600 Β· π¦ 1.1K Β· π 480 - 15% open Β· β±οΈ 11.10.2023):
+- [GitHub](https://github.com/benfred/implicit) (π¨βπ» 34 Β· π 600 Β· π₯ 620 Β· π¦ 1.1K Β· π 480 - 15% open Β· β±οΈ 11.10.2023):
```
git clone https://github.com/benfred/implicit
```
-- [PyPi](https://pypi.org/project/implicit) (π₯ 170K / month Β· π¦ 38 Β· β±οΈ 29.09.2023):
+- [PyPi](https://pypi.org/project/implicit) (π₯ 180K / month Β· π¦ 38 Β· β±οΈ 29.09.2023):
```
pip install implicit
```
@@ -5621,7 +5661,7 @@ _Libraries for building and evaluating recommendation systems._
```
git clone https://github.com/lyst/lightfm
```
-- [PyPi](https://pypi.org/project/lightfm) (π₯ 670K / month Β· π¦ 47 Β· β±οΈ 27.11.2020):
+- [PyPi](https://pypi.org/project/lightfm) (π₯ 690K / month Β· π¦ 47 Β· β±οΈ 27.11.2020):
```
pip install lightfm
```
@@ -5632,19 +5672,19 @@ _Libraries for building and evaluating recommendation systems._
TF Recommenders (π₯29 Β· β 1.7K) - TensorFlow Recommenders is a library for building.. Apache-2
-- [GitHub](https://github.com/tensorflow/recommenders) (π¨βπ» 42 Β· π 240 Β· π¦ 250 Β· π 410 - 56% open Β· β±οΈ 29.09.2023):
+- [GitHub](https://github.com/tensorflow/recommenders) (π¨βπ» 42 Β· π 240 Β· π¦ 250 Β· π 420 - 55% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/tensorflow/recommenders
```
-- [PyPi](https://pypi.org/project/tensorflow-recommenders) (π₯ 350K / month Β· π¦ 1 Β· β±οΈ 03.02.2023):
+- [PyPi](https://pypi.org/project/tensorflow-recommenders) (π₯ 370K / month Β· π¦ 1 Β· β±οΈ 03.02.2023):
```
pip install tensorflow-recommenders
```
scikit-surprise (π₯28 Β· β 6K Β· π€) - A Python scikit for building and analyzing recommender.. BSD-3
-- [GitHub](https://github.com/NicolasHug/Surprise) (π¨βπ» 45 Β· π 970 Β· π¦ 19 Β· π 380 - 19% open Β· β±οΈ 27.01.2023):
+- [GitHub](https://github.com/NicolasHug/Surprise) (π¨βπ» 45 Β· π 970 Β· π¦ 21 Β· π 380 - 19% open Β· β±οΈ 27.01.2023):
```
git clone https://github.com/NicolasHug/Surprise
@@ -5670,37 +5710,37 @@ _Libraries for building and evaluating recommendation systems._
pip install tensorflow_ranking
```
torchrec (π₯28 Β· β 1.5K) - Pytorch domain library for recommendation systems. BSD-3
+torchrec (π₯28 Β· β 1.6K) - Pytorch domain library for recommendation systems. BSD-3
-- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 180 Β· π 280 Β· π¦ 68 Β· π 220 - 57% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 180 Β· π 280 Β· π¦ 70 Β· π 110 - 13% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/pytorch/torchrec
```
-- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (π₯ 71 / month Β· β±οΈ 12.05.2022):
+- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (π₯ 61 / month):
```
pip install torchrec-nightly-cpu
```
Cornac (π₯28 Β· β 750) - A Comparative Framework for Multimodal Recommender Systems. Apache-2
+Cornac (π₯28 Β· β 760) - A Comparative Framework for Multimodal Recommender Systems. Apache-2
-- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 17 Β· π 120 Β· π¦ 180 Β· π 130 - 5% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 17 Β· π 120 Β· π¦ 180 Β· π 130 - 5% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/PreferredAI/cornac
```
-- [PyPi](https://pypi.org/project/cornac) (π₯ 110K / month Β· π¦ 16 Β· β±οΈ 22.07.2023):
+- [PyPi](https://pypi.org/project/cornac) (π₯ 110K / month Β· π¦ 16 Β· β±οΈ 20.10.2023):
```
pip install cornac
```
-- [Conda](https://anaconda.org/conda-forge/cornac) (π₯ 320K Β· β±οΈ 25.07.2023):
+- [Conda](https://anaconda.org/conda-forge/cornac) (π₯ 320K Β· β±οΈ 25.10.2023):
```
conda install -c conda-forge cornac
```
RecBole (π₯26 Β· β 2.9K) - A unified, comprehensive and efficient recommendation library. MIT
-- [GitHub](https://github.com/RUCAIBox/RecBole) (π¨βπ» 69 Β· π 540 Β· π 800 - 19% open Β· β±οΈ 14.10.2023):
+- [GitHub](https://github.com/RUCAIBox/RecBole) (π¨βπ» 69 Β· π 540 Β· π 810 - 19% open Β· β±οΈ 14.10.2023):
```
git clone https://github.com/RUCAIBox/RecBole
@@ -5709,7 +5749,7 @@ _Libraries for building and evaluating recommendation systems._
```
pip install recbole
```
-- [Conda](https://anaconda.org/aibox/recbole) (π₯ 4K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/aibox/recbole) (π₯ 4.1K Β· β±οΈ 16.06.2023):
```
conda install -c aibox recbole
```
@@ -5728,13 +5768,13 @@ _Libraries for building and evaluating recommendation systems._
Show 7 hidden projects...
-- lkpy (π₯23 Β· β 240) - Python recommendation toolkit. MIT
+- lkpy (π₯23 Β· β 250) - Python recommendation toolkit. MIT
- tensorrec (π₯21 Β· β 1.2K Β· π) - A TensorFlow recommendation algorithm and framework in.. Apache-2 βUnlicensed
+- fastFM (π₯21 Β· β 1.1K Β· π) - fastFM: A Library for Factorization Machines. BSD-3
- Spotlight (π₯18 Β· β 2.9K Β· π) - Deep recommender models using PyTorch. MIT MIT MIT BSD-3 Apache-2
-- Collie (π₯15 Β· β 100 Β· π€) - A library for preparing, training, and evaluating scalable deep.. BSD-3
@@ -5746,24 +5786,24 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
PySyft (π₯35 Β· β 9K) - Perform data science on data that remains in someone elses server. Apache-2
-- [GitHub](https://github.com/OpenMined/PySyft) (π¨βπ» 500 Β· π 1.9K Β· π₯ 230 Β· π 3.5K - 4% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/OpenMined/PySyft) (π¨βπ» 500 Β· π 1.9K Β· π₯ 230 Β· π 3.5K - 4% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/OpenMined/PySyft
```
-- [PyPi](https://pypi.org/project/syft) (π₯ 5.2K / month Β· π¦ 5 Β· β±οΈ 17.10.2023):
+- [PyPi](https://pypi.org/project/syft) (π₯ 5.6K / month Β· π¦ 5 Β· β±οΈ 22.10.2023):
```
pip install syft
```
Opacus (π₯28 Β· β 1.5K) - Training PyTorch models with differential privacy. Apache-2
-- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 73 Β· π 290 Β· π₯ 99 Β· π¦ 670 Β· π 260 - 27% open Β· β±οΈ 06.09.2023):
+- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 73 Β· π 290 Β· π₯ 100 Β· π¦ 670 Β· π 260 - 27% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/pytorch/opacus
```
-- [PyPi](https://pypi.org/project/opacus) (π₯ 29K / month Β· π¦ 17 Β· β±οΈ 06.05.2022):
+- [PyPi](https://pypi.org/project/opacus) (π₯ 31K / month Β· π¦ 17 Β· β±οΈ 06.05.2022):
```
pip install opacus
```
@@ -5774,7 +5814,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
TensorFlow Privacy (π₯27 Β· β 1.8K) - Library for training machine learning models with.. Apache-2
-- [GitHub](https://github.com/tensorflow/privacy) (π¨βπ» 55 Β· π 430 Β· π₯ 120 Β· π 200 - 55% open Β· β±οΈ 11.10.2023):
+- [GitHub](https://github.com/tensorflow/privacy) (π¨βπ» 56 Β· π 430 Β· π₯ 120 Β· π 200 - 55% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/tensorflow/privacy
@@ -5803,19 +5843,19 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
```
git clone https://github.com/tf-encrypted/tf-encrypted
```
-- [PyPi](https://pypi.org/project/tf-encrypted) (π₯ 410 / month Β· π¦ 9 Β· β±οΈ 16.11.2022):
+- [PyPi](https://pypi.org/project/tf-encrypted) (π₯ 400 / month Β· π¦ 9 Β· β±οΈ 16.11.2022):
```
pip install tf-encrypted
```
CrypTen (π₯23 Β· β 1.4K) - A framework for Privacy Preserving Machine Learning. MIT
-- [GitHub](https://github.com/facebookresearch/CrypTen) (π¨βπ» 33 Β· π 290 Β· π¦ 30 Β· π 260 - 26% open Β· β±οΈ 25.08.2023):
+- [GitHub](https://github.com/facebookresearch/CrypTen) (π¨βπ» 33 Β· π 290 Β· π¦ 31 Β· π 260 - 26% open Β· β±οΈ 25.08.2023):
```
git clone https://github.com/facebookresearch/CrypTen
```
-- [PyPi](https://pypi.org/project/crypten) (π₯ 280 / month Β· π¦ 1 Β· β±οΈ 08.12.2022):
+- [PyPi](https://pypi.org/project/crypten) (π₯ 240 / month Β· π¦ 1 Β· β±οΈ 08.12.2022):
```
pip install crypten
```
@@ -5834,7 +5874,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (π₯44 Β· β 16K) - Open source platform for the machine learning lifecycle. Apache-2
-- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 660 Β· π 3.6K Β· π¦ 25K Β· π 3.5K - 35% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 660 Β· π 3.6K Β· π¦ 25K Β· π 3.5K - 35% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/mlflow/mlflow
@@ -5850,28 +5890,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
Tensorboard (π₯43 Β· β 6.4K) - TensorFlows Visualization Toolkit. Apache-2
-- [GitHub](https://github.com/tensorflow/tensorboard) (π¨βπ» 310 Β· π 1.6K Β· π¦ 190K Β· π 1.8K - 34% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/tensorflow/tensorboard) (π¨βπ» 310 Β· π 1.6K Β· π¦ 190K Β· π 1.9K - 34% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/tensorflow/tensorboard
```
-- [PyPi](https://pypi.org/project/tensorboard) (π₯ 21M / month Β· π¦ 2.8K Β· β±οΈ 27.09.2023):
+- [PyPi](https://pypi.org/project/tensorboard) (π₯ 21M / month Β· π¦ 2.8K Β· β±οΈ 19.10.2023):
```
pip install tensorboard
```
-- [Conda](https://anaconda.org/conda-forge/tensorboard) (π₯ 4.4M Β· β±οΈ 28.09.2023):
+- [Conda](https://anaconda.org/conda-forge/tensorboard) (π₯ 4.4M Β· β±οΈ 20.10.2023):
```
conda install -c conda-forge tensorboard
```
wandb client (π₯41 Β· β 7.4K) - A tool for visualizing and tracking your machine learning.. MIT
-- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 160 Β· π 550 Β· π¦ 31K Β· π 2.8K - 26% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 160 Β· π 540 Β· π¦ 31K Β· π 2.8K - 26% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/wandb/client
```
-- [PyPi](https://pypi.org/project/wandb) (π₯ 6.9M / month Β· π¦ 600 Β· β±οΈ 04.10.2023):
+- [PyPi](https://pypi.org/project/wandb) (π₯ 7.4M / month):
```
pip install wandb
```
@@ -5882,55 +5922,55 @@ _Libraries to organize, track, and visualize machine learning experiments._
DVC (π₯40 Β· β 12K) - Data Version Control | Git for Data & Models | ML Experiments Management. Apache-2
-- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 290 Β· π 1.1K Β· π₯ 38K Β· π¦ 10K Β· π 4.5K - 12% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 290 Β· π 1.1K Β· π₯ 40K Β· π¦ 10K Β· π 4.5K - 12% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/iterative/dvc
```
-- [PyPi](https://pypi.org/project/dvc) (π₯ 750K / month Β· π¦ 83 Β· β±οΈ 18.10.2023):
+- [PyPi](https://pypi.org/project/dvc) (π₯ 760K / month Β· π¦ 83 Β· β±οΈ 18.10.2023):
```
pip install dvc
```
-- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 1.7M Β· β±οΈ 24.09.2023):
+- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 1.7M Β· β±οΈ 24.10.2023):
```
conda install -c conda-forge dvc
```
SageMaker SDK (π₯38 Β· β 1.9K) - A library for training and deploying machine learning.. Apache-2
-- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 400 Β· π 1K Β· π¦ 3.1K Β· π 1.4K - 35% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 400 Β· π 1K Β· π¦ 3.1K Β· π 1.4K - 35% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/aws/sagemaker-python-sdk
```
-- [PyPi](https://pypi.org/project/sagemaker) (π₯ 28M / month Β· π¦ 85 Β· β±οΈ 18.10.2023):
+- [PyPi](https://pypi.org/project/sagemaker) (π₯ 31M / month Β· π¦ 87 Β· β±οΈ 26.10.2023):
```
pip install sagemaker
```
-- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (π₯ 690K Β· β±οΈ 18.10.2023):
+- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (π₯ 690K Β· β±οΈ 26.10.2023):
```
conda install -c conda-forge sagemaker-python-sdk
```
PyCaret (π₯37 Β· β 7.8K) - An open-source, low-code machine learning library in Python. MIT
-- [GitHub](https://github.com/pycaret/pycaret) (π¨βπ» 130 Β· π 1.6K Β· π₯ 670 Β· π¦ 4.5K Β· π 2.2K - 13% open Β· β±οΈ 09.10.2023):
+- [GitHub](https://github.com/pycaret/pycaret) (π¨βπ» 130 Β· π 1.7K Β· π₯ 670 Β· π¦ 4.6K Β· π 2.2K - 14% open Β· β±οΈ 09.10.2023):
```
git clone https://github.com/pycaret/pycaret
```
-- [PyPi](https://pypi.org/project/pycaret) (π₯ 240K / month Β· π¦ 14 Β· β±οΈ 11.09.2023):
+- [PyPi](https://pypi.org/project/pycaret) (π₯ 270K / month Β· π¦ 14 Β· β±οΈ 11.09.2023):
```
pip install pycaret
```
-- [Conda](https://anaconda.org/conda-forge/pycaret) (π₯ 39K Β· β±οΈ 16.10.2023):
+- [Conda](https://anaconda.org/conda-forge/pycaret) (π₯ 40K Β· β±οΈ 16.10.2023):
```
conda install -c conda-forge pycaret
```
AzureML SDK (π₯35 Β· β 3.8K) - Python notebooks with ML and deep learning examples with Azure.. MIT
-- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (π¨βπ» 64 Β· π 2.4K Β· π₯ 500 Β· π 1.4K - 25% open Β· β±οΈ 10.10.2023):
+- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (π¨βπ» 64 Β· π 2.4K Β· π₯ 500 Β· π 1.4K - 25% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/Azure/MachineLearningNotebooks
@@ -5942,12 +5982,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
snakemake (π₯35 Β· β 2K) - This is the development home of the workflow management system.. MIT
-- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 310 Β· π 460 Β· π¦ 1.7K Β· π 1.4K - 60% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 310 Β· π 460 Β· π¦ 1.7K Β· π 1.4K - 60% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/snakemake/snakemake
```
-- [PyPi](https://pypi.org/project/snakemake) (π₯ 120K / month Β· π¦ 250 Β· β±οΈ 18.09.2023):
+- [PyPi](https://pypi.org/project/snakemake) (π₯ 130K / month Β· π¦ 250 Β· β±οΈ 18.09.2023):
```
pip install snakemake
```
@@ -5958,7 +5998,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
tensorboardX (π₯34 Β· β 7.7K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT
-- [GitHub](https://github.com/lanpa/tensorboardX) (π¨βπ» 81 Β· π 870 Β· π₯ 400 Β· π¦ 35K Β· π 450 - 17% open Β· β±οΈ 03.09.2023):
+- [GitHub](https://github.com/lanpa/tensorboardX) (π¨βπ» 81 Β· π 870 Β· π₯ 400 Β· π¦ 36K Β· π 450 - 17% open Β· β±οΈ 03.09.2023):
```
git clone https://github.com/lanpa/tensorboardX
@@ -5974,7 +6014,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
Metaflow (π₯33 Β· β 7.1K) - Build and manage real-life data science projects with ease!. Apache-2
-- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 74 Β· π 680 Β· π¦ 540 Β· π 620 - 47% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 74 Β· π 680 Β· π¦ 540 Β· π 620 - 47% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/Netflix/metaflow
@@ -5990,12 +6030,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
ClearML (π₯33 Β· β 4.8K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... Apache-2
-- [GitHub](https://github.com/allegroai/clearml) (π¨βπ» 87 Β· π 600 Β· π₯ 1.6K Β· π¦ 760 Β· π 890 - 43% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/allegroai/clearml) (π¨βπ» 87 Β· π 600 Β· π₯ 1.7K Β· π¦ 760 Β· π 900 - 43% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/allegroai/clearml
```
-- [PyPi](https://pypi.org/project/clearml) (π₯ 240K / month Β· π¦ 13 Β· β±οΈ 14.10.2023):
+- [PyPi](https://pypi.org/project/clearml) (π₯ 240K / month Β· π¦ 13 Β· β±οΈ 26.10.2023):
```
pip install clearml
```
@@ -6006,7 +6046,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
kaggle (π₯31 Β· β 5.6K) - Official Kaggle API. Apache-2
-- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 37 Β· π 1K Β· π¦ 19 Β· π 410 - 31% open Β· β±οΈ 17.07.2023):
+- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 37 Β· π 1K Β· π¦ 21 Β· π 410 - 31% open Β· β±οΈ 17.07.2023):
```
git clone https://github.com/Kaggle/kaggle-api
@@ -6022,12 +6062,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
Neptune.ai (π₯31 Β· β 410) - The MLOps stack component for experiment tracking. Apache-2
-- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 52 Β· π 49 Β· π 230 - 16% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 52 Β· π 51 Β· π 230 - 15% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/neptune-ai/neptune-client
```
-- [PyPi](https://pypi.org/project/neptune-client) (π₯ 530K / month Β· π¦ 44 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/neptune-client) (π₯ 530K / month Β· π¦ 44 Β· β±οΈ 20.10.2023):
```
pip install neptune-client
```
@@ -6043,19 +6083,19 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/PaddlePaddle/VisualDL
```
-- [PyPi](https://pypi.org/project/visualdl) (π₯ 150K / month Β· π¦ 40 Β· β±οΈ 05.06.2023):
+- [PyPi](https://pypi.org/project/visualdl) (π₯ 160K / month Β· π¦ 40 Β· β±οΈ 05.06.2023):
```
pip install visualdl
```
aim (π₯30 Β· β 4.3K Β· π) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2
+aim (π₯30 Β· β 4.3K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2
-- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 58 Β· π 250 Β· π¦ 340 Β· π 940 - 31% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 58 Β· π 250 Β· π¦ 340 Β· π 940 - 32% open Β· β±οΈ 18.10.2023):
```
git clone https://github.com/aimhubio/aim
```
-- [PyPi](https://pypi.org/project/aim) (π₯ 130K / month Β· π¦ 15 Β· β±οΈ 18.10.2023):
+- [PyPi](https://pypi.org/project/aim) (π₯ 130K / month):
```
pip install aim
```
@@ -6071,7 +6111,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/IDSIA/sacred
```
-- [PyPi](https://pypi.org/project/sacred) (π₯ 34K / month Β· π¦ 110 Β· β±οΈ 25.01.2023):
+- [PyPi](https://pypi.org/project/sacred) (π₯ 29K / month Β· π¦ 110 Β· β±οΈ 25.01.2023):
```
pip install sacred
```
@@ -6082,29 +6122,17 @@ _Libraries to organize, track, and visualize machine learning experiments._
ml-metadata (π₯28 Β· β 560) - For recording and retrieving metadata associated with ML.. Apache-2
-- [GitHub](https://github.com/google/ml-metadata) (π¨βπ» 19 Β· π 120 Β· π₯ 2.1K Β· π¦ 360 Β· π 100 - 26% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/google/ml-metadata) (π¨βπ» 19 Β· π 120 Β· π₯ 2.1K Β· π¦ 360 Β· π 100 - 26% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/google/ml-metadata
```
-- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 110K / month Β· π¦ 22 Β· β±οΈ 10.08.2023):
+- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 96K / month Β· π¦ 22 Β· β±οΈ 10.08.2023):
```
pip install ml-metadata
```
quinn (π₯27 Β· β 520) - pyspark methods to enhance developer productivity. Apache-2
-
-- [GitHub](https://github.com/MrPowers/quinn) (π¨βπ» 23 Β· π 73 Β· π₯ 9 Β· π¦ 71 Β· π 85 - 41% open Β· β±οΈ 12.10.2023):
-
- ```
- git clone https://github.com/MrPowers/quinn
- ```
-- [PyPi](https://pypi.org/project/quinn) (π₯ 890K / month Β· π¦ 6 Β· β±οΈ 17.02.2023):
- ```
- pip install quinn
- ```
-Labml (π₯26 Β· β 1.6K) - Monitor deep learning model training and hardware usage from your mobile.. MIT
+Labml (π₯26 Β· β 1.7K) - Monitor deep learning model training and hardware usage from your mobile.. MIT
- [GitHub](https://github.com/labmlai/labml) (π¨βπ» 9 Β· π 110 Β· π¦ 110 Β· π 38 - 47% open Β· β±οΈ 22.09.2023):
@@ -6118,24 +6146,24 @@ _Libraries to organize, track, and visualize machine learning experiments._
TNT (π₯26 Β· β 1.6K) - A lightweight library for PyTorch training tools and utilities. BSD-3
-- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 100 Β· π 240 Β· π 82 - 25% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 110 Β· π 240 Β· π 82 - 25% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/pytorch/tnt
```
-- [PyPi](https://pypi.org/project/torchnet) (π₯ 5.8K / month Β· π¦ 38 Β· β±οΈ 29.07.2018):
+- [PyPi](https://pypi.org/project/torchnet) (π₯ 5.9K / month Β· π¦ 38 Β· β±οΈ 29.07.2018):
```
pip install torchnet
```
Guild AI (π₯25 Β· β 820) - Experiment tracking, ML developer tools. Apache-2
-- [GitHub](https://github.com/guildai/guildai) (π¨βπ» 29 Β· π 81 Β· π₯ 14 Β· π¦ 82 Β· π 440 - 50% open Β· β±οΈ 12.08.2023):
+- [GitHub](https://github.com/guildai/guildai) (π¨βπ» 29 Β· π 81 Β· π₯ 14 Β· π¦ 83 Β· π 440 - 50% open Β· β±οΈ 12.08.2023):
```
git clone https://github.com/guildai/guildai
```
-- [PyPi](https://pypi.org/project/guildai) (π₯ 1.4K / month Β· β±οΈ 11.05.2022):
+- [PyPi](https://pypi.org/project/guildai) (π₯ 1.9K / month Β· β±οΈ 11.05.2022):
```
pip install guildai
```
@@ -6147,7 +6175,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/microsoft/tensorwatch
```
-- [PyPi](https://pypi.org/project/tensorwatch) (π₯ 880 / month Β· π¦ 7 Β· β±οΈ 04.03.2020):
+- [PyPi](https://pypi.org/project/tensorwatch) (π₯ 860 / month Β· π¦ 7 Β· β±οΈ 04.03.2020):
```
pip install tensorwatch
```
@@ -6171,22 +6199,23 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/google/caliban
```
-- [PyPi](https://pypi.org/project/caliban) (π₯ 32 / month Β· β±οΈ 12.09.2020):
+- [PyPi](https://pypi.org/project/caliban) (π₯ 38 / month Β· β±οΈ 12.09.2020):
```
pip install caliban
```
Show 16 hidden projects...
+Show 17 hidden projects...
- Catalyst (π₯29 Β· β 3.2K Β· π) - Accelerated deep learning R&D. Apache-2 MIT
-- livelossplot (π₯25 Β· β 1.3K Β· π) - Live training loss plot in Jupyter Notebook for Keras,.. MIT MIT
+- quinn (π₯25 Β· β 520) - pyspark methods to enhance developer productivity. βUnlicensed MIT
+- livelossplot (π₯23 Β· β 1.3K Β· π) - Live training loss plot in Jupyter Notebook for Keras,.. MIT βοΈBSD-1-Clause MIT MIT
+- hiddenlayer (π₯21 Β· β 1.7K Β· π) - Neural network graphs and training metrics for.. MIT MIT
- MXBoard (π₯20 Β· β 320 Β· π) - Logging MXNet data for visualization in TensorBoard. Apache-2 MIT
- keepsake (π₯18 Β· β 1.6K Β· π) - Version control for machine learning. Apache-2
- datmo (π₯17 Β· β 340 Β· π) - Open source production model management tool for data scientists. MIT
- chitra (π₯17 Β· β 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2
@@ -6205,12 +6234,12 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (π₯43 Β· β 16K) - Open standard for machine learning interoperability. Apache-2
-- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 300 Β· π 3.6K Β· π₯ 19K Β· π¦ 20K Β· π 2.6K - 12% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 300 Β· π 3.6K Β· π₯ 19K Β· π¦ 20K Β· π 2.6K - 11% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/onnx/onnx
```
-- [PyPi](https://pypi.org/project/onnx) (π₯ 4M / month Β· π¦ 610 Β· β±οΈ 25.08.2023):
+- [PyPi](https://pypi.org/project/onnx) (π₯ 4.1M / month Β· π¦ 610 Β· β±οΈ 25.08.2023):
```
pip install onnx
```
@@ -6219,38 +6248,38 @@ _Libraries to serialize models to files, convert between a variety of model form
conda install -c conda-forge onnx
```
triton (π₯41 Β· β 8.5K) - Development repository for the Triton language and compiler. MIT
+triton (π₯41 Β· β 8.6K) - Development repository for the Triton language and compiler. MIT
-- [GitHub](https://github.com/openai/triton) (π¨βπ» 180 Β· π 880 Β· π¦ 8.9K Β· π 850 - 39% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/openai/triton) (π¨βπ» 180 Β· π 890 Β· π¦ 9.3K Β· π 850 - 39% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/openai/triton
```
-- [PyPi](https://pypi.org/project/triton) (π₯ 5.6M / month Β· π¦ 58 Β· β±οΈ 01.09.2023):
+- [PyPi](https://pypi.org/project/triton) (π₯ 6.1M / month Β· π¦ 69 Β· β±οΈ 01.09.2023):
```
pip install triton
```
BentoML (π₯35 Β· β 5.8K) - Build Production-Grade AI Applications. Apache-2
-- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 180 Β· π 650 Β· π₯ 2.1K Β· π¦ 1.3K Β· π 950 - 19% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 180 Β· π 650 Β· π₯ 2.1K Β· π¦ 1.3K Β· π 950 - 19% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/bentoml/BentoML
```
-- [PyPi](https://pypi.org/project/bentoml) (π₯ 68K / month Β· π¦ 11 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/bentoml) (π₯ 65K / month Β· π¦ 11 Β· β±οΈ 12.10.2023):
```
pip install bentoml
```
TorchServe (π₯35 Β· β 3.7K) - Serve, optimize and scale PyTorch models in production. Apache-2
-- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 180 Β· π 760 Β· π₯ 5K Β· π¦ 520 Β· π 1.4K - 21% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 180 Β· π 760 Β· π₯ 5.3K Β· π¦ 520 Β· π 1.4K - 21% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/pytorch/serve
```
-- [PyPi](https://pypi.org/project/torchserve) (π₯ 37K / month Β· π¦ 13 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/torchserve) (π₯ 40K / month Β· π¦ 13 Β· β±οΈ 12.10.2023):
```
pip install torchserve
```
@@ -6263,14 +6292,14 @@ _Libraries to serialize models to files, convert between a variety of model form
docker pull pytorch/torchserve
```
huggingface_hub (π₯35 Β· β 1.2K) - All the open source things related to the Hugging Face Hub. Apache-2
+huggingface_hub (π₯35 Β· β 1.3K) - All the open source things related to the Hugging Face Hub. Apache-2
-- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 110 Β· π 300 Β· π 610 - 17% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 120 Β· π 300 Β· π 610 - 16% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/huggingface/huggingface_hub
```
-- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 20M / month Β· π¦ 470 Β· β±οΈ 10.10.2023):
+- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 21M / month Β· π¦ 480 Β· β±οΈ 10.10.2023):
```
pip install huggingface_hub
```
@@ -6281,12 +6310,12 @@ _Libraries to serialize models to files, convert between a variety of model form
Core ML Tools (π₯32 Β· β 3.7K) - Core ML tools contain supporting tools for Core ML model.. BSD-3
-- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 160 Β· π 550 Β· π₯ 8.2K Β· π¦ 3.4K Β· π 1.2K - 20% open Β· β±οΈ 11.10.2023):
+- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 160 Β· π 550 Β· π₯ 8.8K Β· π¦ 3.4K Β· π 1.2K - 20% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/apple/coremltools
```
-- [PyPi](https://pypi.org/project/coremltools) (π₯ 180K / month Β· π¦ 160 Β· β±οΈ 18.09.2023):
+- [PyPi](https://pypi.org/project/coremltools) (π₯ 190K / month Β· π¦ 160 Β· β±οΈ 18.09.2023):
```
pip install coremltools
```
@@ -6311,14 +6340,14 @@ _Libraries to serialize models to files, convert between a variety of model form
conda install -c conda-forge hummingbird-ml
```
hls4ml (π₯25 Β· β 940) - Machine learning on FPGAs using HLS. Apache-2
+hls4ml (π₯25 Β· β 950) - Machine learning on FPGAs using HLS. Apache-2
-- [GitHub](https://github.com/fastmachinelearning/hls4ml) (π¨βπ» 55 Β· π 340 Β· π 380 - 36% open Β· β±οΈ 11.10.2023):
+- [GitHub](https://github.com/fastmachinelearning/hls4ml) (π¨βπ» 56 Β· π 340 Β· π 380 - 36% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/fastmachinelearning/hls4ml
```
-- [PyPi](https://pypi.org/project/hls4ml) (π₯ 570 / month Β· β±οΈ 12.11.2021):
+- [PyPi](https://pypi.org/project/hls4ml) (π₯ 600 / month Β· β±οΈ 12.11.2021):
```
pip install hls4ml
```
@@ -6334,19 +6363,19 @@ _Libraries to serialize models to files, convert between a variety of model form
```
git clone https://github.com/BayesWitnesses/m2cgen
```
-- [PyPi](https://pypi.org/project/m2cgen) (π₯ 17K / month Β· π¦ 3 Β· β±οΈ 26.04.2022):
+- [PyPi](https://pypi.org/project/m2cgen) (π₯ 20K / month Β· π¦ 3 Β· β±οΈ 26.04.2022):
```
pip install m2cgen
```
nebullvm (π₯23 Β· β 8.3K) - Developer toolkit for making AI models better. Apache-2
+nebullvm (π₯23 Β· β 8.3K) - The user analytics platform for LLMs. Apache-2
-- [GitHub](https://github.com/nebuly-ai/nebuly) (π¨βπ» 40 Β· π 650 Β· π 200 - 48% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/nebuly-ai/nebuly) (π¨βπ» 40 Β· π 650 Β· π 200 - 48% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/nebuly-ai/nebullvm
```
-- [PyPi](https://pypi.org/project/nebullvm) (π₯ 600 / month Β· π¦ 2 Β· β±οΈ 18.06.2023):
+- [PyPi](https://pypi.org/project/nebullvm) (π₯ 580 / month Β· π¦ 2 Β· β±οΈ 18.06.2023):
```
pip install nebullvm
```
@@ -6366,14 +6395,14 @@ _Libraries to serialize models to files, convert between a variety of model form
Show 9 hidden projects...
- mmdnn (π₯26 Β· β 5.8K Β· π) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT
-- sklearn-porter (π₯23 Β· β 1.2K Β· π) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 BSD-3 Apache-2
- pytorch2keras (π₯19 Β· β 840 Β· π) - PyTorch to Keras model convertor. MIT
- OMLT (π₯19 Β· β 220) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3
-- modelkit (π₯17 Β· β 150) - Toolkit for developing and maintaining ML models. MIT
-- tfdeploy (π₯16 Β· β 350 Β· π) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 MIT
+- tfdeploy (π₯15 Β· β 350 Β· π) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 βUnlicensed Apache-2
+- backprop (π₯9 Β· β 240 Β· π) - Backprop makes it simple to use, finetune, and deploy state-.. βUnlicensed
@@ -6385,21 +6414,21 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (π₯41 Β· β 20K) - A game theoretic approach to explain the output of any machine learning model. MIT
-- [GitHub](https://github.com/shap/shap) (π¨βπ» 220 Β· π 3K Β· π¦ 14K Β· π 2.3K - 60% open Β· β±οΈ 15.10.2023):
+- [GitHub](https://github.com/shap/shap) (π¨βπ» 230 Β· π 3K Β· π¦ 14K Β· π 2.3K - 60% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/slundberg/shap
```
-- [PyPi](https://pypi.org/project/shap) (π₯ 7.4M / month Β· π¦ 420 Β· β±οΈ 09.10.2023):
+- [PyPi](https://pypi.org/project/shap) (π₯ 7.3M / month Β· π¦ 420 Β· β±οΈ 09.10.2023):
```
pip install shap
```
-- [Conda](https://anaconda.org/conda-forge/shap) (π₯ 2.1M Β· β±οΈ 09.10.2023):
+- [Conda](https://anaconda.org/conda-forge/shap) (π₯ 2.2M Β· β±οΈ 09.10.2023):
```
conda install -c conda-forge shap
```
arviz (π₯35 Β· β 1.4K) - Exploratory analysis of Bayesian models with Python. Apache-2
+arviz (π₯35 Β· β 1.5K) - Exploratory analysis of Bayesian models with Python. Apache-2
- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 150 Β· π 350 Β· π₯ 130 Β· π¦ 5K Β· π 830 - 20% open Β· β±οΈ 13.10.2023):
@@ -6417,70 +6446,70 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Netron (π₯34 Β· β 24K) - Visualizer for neural network, deep learning and machine learning.. MIT
-- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.6K Β· π₯ 59K Β· π¦ 10 Β· π 1K - 2% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.6K Β· π₯ 63K Β· π¦ 10 Β· π 1K - 2% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/lutzroeder/netron
```
-- [PyPi](https://pypi.org/project/netron) (π₯ 16K / month Β· π¦ 73 Β· β±οΈ 16.10.2023):
+- [PyPi](https://pypi.org/project/netron) (π₯ 16K / month Β· π¦ 73 Β· β±οΈ 21.10.2023):
```
pip install netron
```
InterpretML (π₯33 Β· β 5.7K) - Fit interpretable models. Explain blackbox machine learning. MIT
-- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 39 Β· π 670 Β· π¦ 540 Β· π 390 - 17% open Β· β±οΈ 30.09.2023):
+- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 39 Β· π 680 Β· π¦ 540 Β· π 390 - 17% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/interpretml/interpret
```
-- [PyPi](https://pypi.org/project/interpret) (π₯ 71K / month):
+- [PyPi](https://pypi.org/project/interpret) (π₯ 77K / month Β· π¦ 28 Β· β±οΈ 26.08.2023):
```
pip install interpret
```
evaluate (π₯32 Β· β 1.6K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2
-- [GitHub](https://github.com/huggingface/evaluate) (π¨βπ» 120 Β· π 180 Β· π¦ 4.3K Β· π 220 - 44% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/huggingface/evaluate) (π¨βπ» 120 Β· π 180 Β· π¦ 4.4K Β· π 250 - 51% open Β· β±οΈ 19.10.2023):
```
git clone https://github.com/huggingface/evaluate
```
-- [PyPi](https://pypi.org/project/evaluate) (π₯ 1M / month Β· π¦ 130 Β· β±οΈ 13.10.2023):
+- [PyPi](https://pypi.org/project/evaluate) (π₯ 1.1M / month Β· π¦ 130 Β· β±οΈ 13.10.2023):
```
pip install evaluate
```
DoWhy (π₯30 Β· β 6.2K) - DoWhy is a Python library for causal inference that supports explicit.. MIT
+Captum (π₯31 Β· β 4.2K) - Model interpretability and understanding for PyTorch. BSD-3
-- [GitHub](https://github.com/py-why/dowhy) (π¨βπ» 82 Β· π 860 Β· π₯ 33 Β· π¦ 300 Β· π 410 - 30% open Β· β±οΈ 13.10.2023):
+- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 100 Β· π 440 Β· π¦ 1.5K Β· π 480 - 32% open Β· β±οΈ 25.10.2023):
```
- git clone https://github.com/py-why/dowhy
+ git clone https://github.com/pytorch/captum
```
-- [PyPi](https://pypi.org/project/dowhy) (π₯ 38K / month Β· π¦ 7 Β· β±οΈ 05.09.2023):
+- [PyPi](https://pypi.org/project/captum) (π₯ 130K / month):
```
- pip install dowhy
+ pip install captum
```
-- [Conda](https://anaconda.org/conda-forge/dowhy) (π₯ 17K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/captum) (π₯ 17K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge dowhy
+ conda install -c conda-forge captum
```
Captum (π₯30 Β· β 4.2K) - Model interpretability and understanding for PyTorch. BSD-3
+DoWhy (π₯30 Β· β 6.3K) - DoWhy is a Python library for causal inference that supports explicit.. MIT
-- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 100 Β· π 440 Β· π¦ 1.5K Β· π 480 - 32% open Β· β±οΈ 13.10.2023):
+- [GitHub](https://github.com/py-why/dowhy) (π¨βπ» 82 Β· π 860 Β· π₯ 33 Β· π¦ 300 Β· π 410 - 30% open Β· β±οΈ 13.10.2023):
```
- git clone https://github.com/pytorch/captum
+ git clone https://github.com/py-why/dowhy
```
-- [PyPi](https://pypi.org/project/captum) (π₯ 130K / month):
+- [PyPi](https://pypi.org/project/dowhy) (π₯ 34K / month Β· π¦ 7 Β· β±οΈ 05.09.2023):
```
- pip install captum
+ pip install dowhy
```
-- [Conda](https://anaconda.org/conda-forge/captum) (π₯ 17K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/dowhy) (π₯ 17K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge captum
+ conda install -c conda-forge dowhy
```
dtreeviz (π₯30 Β· β 2.7K) - A python library for decision tree visualization and model interpretation. MIT
@@ -6490,7 +6519,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/parrt/dtreeviz
```
-- [PyPi](https://pypi.org/project/dtreeviz) (π₯ 140K / month Β· π¦ 24 Β· β±οΈ 07.07.2022):
+- [PyPi](https://pypi.org/project/dtreeviz) (π₯ 150K / month Β· π¦ 24 Β· β±οΈ 07.07.2022):
```
pip install dtreeviz
```
@@ -6506,18 +6535,18 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/oegedijk/explainerdashboard
```
-- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 49K / month Β· π¦ 9 Β· β±οΈ 01.08.2023):
+- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 57K / month):
```
pip install explainerdashboard
```
-- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (π₯ 40K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (π₯ 41K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge explainerdashboard
```
fairlearn (π₯30 Β· β 1.7K) - A Python package to assess and improve fairness of machine.. MIT
-- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 76 Β· π 360 Β· π¦ 2 Β· π 460 - 38% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 76 Β· π 360 Β· π¦ 2 Β· π 460 - 38% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/fairlearn/fairlearn
@@ -6526,19 +6555,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
pip install fairlearn
```
-- [Conda](https://anaconda.org/conda-forge/fairlearn) (π₯ 29K Β· β±οΈ 28.07.2023):
+- [Conda](https://anaconda.org/conda-forge/fairlearn) (π₯ 30K Β· β±οΈ 28.07.2023):
```
conda install -c conda-forge fairlearn
```
Alibi (π₯29 Β· β 2.2K) - Algorithms for explaining machine learning models. Apache-2
-- [GitHub](https://github.com/SeldonIO/alibi) (π¨βπ» 18 Β· π 230 Β· π¦ 520 Β· π 350 - 37% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/SeldonIO/alibi) (π¨βπ» 19 Β· π 230 Β· π¦ 530 Β· π 360 - 37% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/SeldonIO/alibi
```
-- [PyPi](https://pypi.org/project/alibi) (π₯ 26K / month Β· π¦ 25 Β· β±οΈ 07.07.2023):
+- [PyPi](https://pypi.org/project/alibi) (π₯ 27K / month Β· π¦ 25 Β· β±οΈ 07.07.2023):
```
pip install alibi
```
@@ -6548,27 +6577,15 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
- [GitHub](https://github.com/bmabey/pyLDAvis) (π¨βπ» 39 Β· π 360 Β· π¦ 5.4K Β· π 180 - 45% open Β· β±οΈ 24.04.2023):
```
- git clone https://github.com/bmabey/pyLDAvis
- ```
-- [PyPi](https://pypi.org/project/pyldavis) (π₯ 260K / month Β· π¦ 160 Β· β±οΈ 24.03.2021):
- ```
- pip install pyldavis
- ```
-- [Conda](https://anaconda.org/conda-forge/pyldavis) (π₯ 75K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge pyldavis
- ```
-imodels (π₯29 Β· β 1.2K) - Interpretable ML package for concise, transparent, and accurate.. MIT
-
-- [GitHub](https://github.com/csinva/imodels) (π¨βπ» 22 Β· π 110 Β· π¦ 56 Β· π 77 - 33% open Β· β±οΈ 10.10.2023):
-
- ```
- git clone https://github.com/csinva/imodels
+ git clone https://github.com/bmabey/pyLDAvis
```
-- [PyPi](https://pypi.org/project/imodels) (π₯ 130K / month Β· π¦ 4 Β· β±οΈ 05.10.2023):
+- [PyPi](https://pypi.org/project/pyldavis) (π₯ 250K / month Β· π¦ 160 Β· β±οΈ 24.03.2021):
```
- pip install imodels
+ pip install pyldavis
+ ```
+- [Conda](https://anaconda.org/conda-forge/pyldavis) (π₯ 75K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge pyldavis
```
responsible-ai-widgets (π₯29 Β· β 1K) - Responsible AI Toolbox is a suite of tools providing.. MIT
@@ -6578,19 +6595,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/microsoft/responsible-ai-toolbox
```
-- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 5.4K / month Β· π¦ 3 Β· β±οΈ 17.10.2023):
+- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 5.1K / month Β· π¦ 3 Β· β±οΈ 17.10.2023):
```
pip install raiwidgets
```
LIT (π₯28 Β· β 3.2K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2
-- [GitHub](https://github.com/PAIR-code/lit) (π¨βπ» 34 Β· π 340 Β· π¦ 24 Β· π 160 - 52% open Β· β±οΈ 22.09.2023):
+- [GitHub](https://github.com/PAIR-code/lit) (π¨βπ» 34 Β· π 340 Β· π¦ 24 Β· π 120 - 36% open Β· β±οΈ 22.09.2023):
```
git clone https://github.com/PAIR-code/lit
```
-- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 3.2K / month Β· π¦ 1 Β· β±οΈ 22.09.2023):
+- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 3.4K / month Β· π¦ 1 Β· β±οΈ 22.09.2023):
```
pip install lit-nlp
```
@@ -6606,19 +6623,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/MAIF/shapash
```
-- [PyPi](https://pypi.org/project/shapash) (π₯ 8K / month Β· π¦ 2 Β· β±οΈ 20.09.2023):
+- [PyPi](https://pypi.org/project/shapash) (π₯ 7K / month Β· π¦ 2 Β· β±οΈ 20.09.2023):
```
pip install shapash
```
imodels (π₯28 Β· β 1.2K) - Interpretable ML package for concise, transparent, and accurate.. MIT
+
+- [GitHub](https://github.com/csinva/imodels) (π¨βπ» 22 Β· π 110 Β· π¦ 57 Β· π 77 - 33% open Β· β±οΈ 24.10.2023):
+
+ ```
+ git clone https://github.com/csinva/imodels
+ ```
+- [PyPi](https://pypi.org/project/imodels) (π₯ 140K / month Β· π¦ 4 Β· β±οΈ 05.10.2023):
+ ```
+ pip install imodels
+ ```
+Explainability 360 (π₯27 Β· β 1.4K) - Interpretability and explainability of data and.. Apache-2
-- [GitHub](https://github.com/Trusted-AI/AIX360) (π¨βπ» 41 Β· π 300 Β· π¦ 84 Β· π 83 - 65% open Β· β±οΈ 22.08.2023):
+- [GitHub](https://github.com/Trusted-AI/AIX360) (π¨βπ» 41 Β· π 300 Β· π¦ 85 Β· π 83 - 65% open Β· β±οΈ 22.08.2023):
```
git clone https://github.com/Trusted-AI/AIX360
```
-- [PyPi](https://pypi.org/project/aix360) (π₯ 760 / month Β· π¦ 1 Β· β±οΈ 31.07.2023):
+- [PyPi](https://pypi.org/project/aix360) (π₯ 960 / month Β· π¦ 1 Β· β±οΈ 31.07.2023):
```
pip install aix360
```
@@ -6630,19 +6659,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/tensorflow/model-analysis
```
-- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 310K / month):
+- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 270K / month):
```
pip install tensorflow-model-analysis
```
yellowbrick (π₯26 Β· β 4.1K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2
+yellowbrick (π₯26 Β· β 4.1K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2
- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (π¨βπ» 110 Β· π 550 Β· π 700 - 12% open Β· β±οΈ 05.07.2023):
```
git clone https://github.com/DistrictDataLabs/yellowbrick
```
-- [PyPi](https://pypi.org/project/yellowbrick) (π₯ 390K / month Β· π¦ 81 Β· β±οΈ 21.08.2022):
+- [PyPi](https://pypi.org/project/yellowbrick) (π₯ 410K / month Β· π¦ 81 Β· β±οΈ 21.08.2022):
```
pip install yellowbrick
```
@@ -6651,14 +6680,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge yellowbrick
```
Fairness 360 (π₯26 Β· β 2.2K) - A comprehensive set of fairness metrics for datasets and.. Apache-2
+Fairness 360 (π₯26 Β· β 2.2K) - A comprehensive set of fairness metrics for datasets and.. Apache-2
-- [GitHub](https://github.com/Trusted-AI/AIF360) (π¨βπ» 69 Β· π 760 Β· π¦ 310 Β· π 260 - 64% open Β· β±οΈ 11.10.2023):
+- [GitHub](https://github.com/Trusted-AI/AIF360) (π¨βπ» 69 Β· π 770 Β· π¦ 310 Β· π 260 - 64% open Β· β±οΈ 11.10.2023):
```
git clone https://github.com/Trusted-AI/AIF360
```
-- [PyPi](https://pypi.org/project/aif360) (π₯ 6.2K / month Β· π¦ 12 Β· β±οΈ 04.03.2021):
+- [PyPi](https://pypi.org/project/aif360) (π₯ 6K / month Β· π¦ 12 Β· β±οΈ 04.03.2021):
```
pip install aif360
```
@@ -6667,56 +6696,56 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge aif360
```
CausalNex (π₯26 Β· β 2K) - A Python library that helps data scientists to infer.. Apache-2
+CausalNex (π₯26 Β· β 2K) - A Python library that helps data scientists to infer.. Apache-2
-- [GitHub](https://github.com/mckinsey/causalnex) (π¨βπ» 35 Β· π 230 Β· π¦ 98 Β· π 130 - 12% open Β· β±οΈ 11.07.2023):
+- [GitHub](https://github.com/mckinsey/causalnex) (π¨βπ» 35 Β· π 230 Β· π¦ 99 Β· π 130 - 11% open Β· β±οΈ 11.07.2023):
```
git clone https://github.com/quantumblacklabs/causalnex
```
-- [PyPi](https://pypi.org/project/causalnex) (π₯ 4.8K / month Β· π¦ 3 Β· β±οΈ 11.11.2021):
+- [PyPi](https://pypi.org/project/causalnex) (π₯ 4.8K / month):
```
pip install causalnex
```
iNNvestigate (π₯26 Β· β 1.2K) - A toolbox to iNNvestigate neural networks predictions!. BSD-2
+iNNvestigate (π₯26 Β· β 1.2K) - A toolbox to iNNvestigate neural networks predictions!. BSD-2
- [GitHub](https://github.com/albermax/innvestigate) (π¨βπ» 20 Β· π 230 Β· π₯ 81 Β· π¦ 110 Β· π 260 - 19% open Β· β±οΈ 12.10.2023):
```
git clone https://github.com/albermax/innvestigate
```
-- [PyPi](https://pypi.org/project/innvestigate) (π₯ 780 / month):
+- [PyPi](https://pypi.org/project/innvestigate) (π₯ 830 / month):
```
pip install innvestigate
```
DiCE (π₯25 Β· β 1.2K) - Generate Diverse Counterfactual Explanations for any machine.. MIT
+checklist (π₯25 Β· β 1.9K) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT
-- [GitHub](https://github.com/interpretml/DiCE) (π¨βπ» 19 Β· π 170 Β· π 160 - 40% open Β· β±οΈ 09.10.2023):
+- [GitHub](https://github.com/marcotcr/checklist) (π¨βπ» 15 Β· π 190 Β· π¦ 290 Β· π 120 - 29% open Β· β±οΈ 26.09.2023):
```
- git clone https://github.com/interpretml/DiCE
+ git clone https://github.com/marcotcr/checklist
```
-- [PyPi](https://pypi.org/project/dice-ml) (π₯ 63K / month Β· π¦ 5 Β· β±οΈ 02.06.2022):
+- [PyPi](https://pypi.org/project/checklist) (π₯ 3.6K / month Β· π¦ 7 Β· β±οΈ 24.05.2021):
```
- pip install dice-ml
+ pip install checklist
+ ```
+- [Conda](https://anaconda.org/conda-forge/checklist) (π₯ 6.5K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge checklist
```
checklist (π₯24 Β· β 1.9K) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT
+DiCE (π₯24 Β· β 1.2K) - Generate Diverse Counterfactual Explanations for any machine.. MIT
-- [GitHub](https://github.com/marcotcr/checklist) (π¨βπ» 15 Β· π 190 Β· π¦ 280 Β· π 87 - 4% open Β· β±οΈ 26.09.2023):
+- [GitHub](https://github.com/interpretml/DiCE) (π¨βπ» 19 Β· π 170 Β· π 160 - 40% open Β· β±οΈ 26.10.2023):
```
- git clone https://github.com/marcotcr/checklist
- ```
-- [PyPi](https://pypi.org/project/checklist) (π₯ 3.5K / month):
- ```
- pip install checklist
+ git clone https://github.com/interpretml/DiCE
```
-- [Conda](https://anaconda.org/conda-forge/checklist) (π₯ 6.4K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/dice-ml) (π₯ 55K / month Β· π¦ 5 Β· β±οΈ 02.06.2022):
```
- conda install -c conda-forge checklist
+ pip install dice-ml
```
keract (π₯24 Β· β 1K) - Layers Outputs and Gradients in Keras. Made easy. MIT
@@ -6731,62 +6760,62 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
pip install keract
```
What-If Tool (π₯22 Β· β 840) - Source code/webpage/demos for the What-If Tool. Apache-2
+ecco (π₯21 Β· β 1.8K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3
-- [GitHub](https://github.com/PAIR-code/what-if-tool) (π¨βπ» 20 Β· π 150 Β· π 140 - 58% open Β· β±οΈ 27.04.2023):
+- [GitHub](https://github.com/jalammar/ecco) (π¨βπ» 11 Β· π 150 Β· π₯ 67 Β· π¦ 27 Β· π 57 - 45% open Β· β±οΈ 10.08.2023):
```
- git clone https://github.com/PAIR-code/what-if-tool
- ```
-- [PyPi](https://pypi.org/project/witwidget) (π₯ 3.8K / month Β· π¦ 4 Β· β±οΈ 12.10.2021):
- ```
- pip install witwidget
+ git clone https://github.com/jalammar/ecco
```
-- [Conda](https://anaconda.org/conda-forge/tensorboard-plugin-wit) (π₯ 2.1M Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/ecco) (π₯ 410 / month Β· π¦ 1 Β· β±οΈ 09.01.2022):
```
- conda install -c conda-forge tensorboard-plugin-wit
+ pip install ecco
```
-- [npm](https://www.npmjs.com/package/wit-widget) (π₯ 910 / month Β· π¦ 1 Β· β±οΈ 12.10.2021):
+- [Conda](https://anaconda.org/conda-forge/ecco) (π₯ 4.1K Β· β±οΈ 16.06.2023):
```
- npm install wit-widget
+ conda install -c conda-forge ecco
```
ecco (π₯21 Β· β 1.8K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3
+What-If Tool (π₯21 Β· β 840) - Source code/webpage/demos for the What-If Tool. Apache-2
-- [GitHub](https://github.com/jalammar/ecco) (π¨βπ» 11 Β· π 140 Β· π₯ 67 Β· π¦ 26 Β· π 57 - 45% open Β· β±οΈ 10.08.2023):
+- [GitHub](https://github.com/PAIR-code/what-if-tool) (π¨βπ» 20 Β· π 150 Β· π 120 - 53% open Β· β±οΈ 27.04.2023):
```
- git clone https://github.com/jalammar/ecco
+ git clone https://github.com/PAIR-code/what-if-tool
```
-- [PyPi](https://pypi.org/project/ecco) (π₯ 470 / month Β· π¦ 1 Β· β±οΈ 09.01.2022):
+- [PyPi](https://pypi.org/project/witwidget) (π₯ 3.8K / month):
```
- pip install ecco
+ pip install witwidget
```
-- [Conda](https://anaconda.org/conda-forge/ecco) (π₯ 4.1K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/tensorboard-plugin-wit) (π₯ 2.1M Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge ecco
+ conda install -c conda-forge tensorboard-plugin-wit
+ ```
+- [npm](https://www.npmjs.com/package/wit-widget) (π₯ 1.1K / month):
+ ```
+ npm install wit-widget
```
aequitas (π₯21 Β· β 570) - Bias and Fairness Audit Toolkit. MIT
-- [GitHub](https://github.com/dssg/aequitas) (π¨βπ» 18 Β· π 97 Β· π¦ 140 Β· π 65 - 64% open Β· β±οΈ 20.08.2023):
+- [GitHub](https://github.com/dssg/aequitas) (π¨βπ» 18 Β· π 98 Β· π¦ 140 Β· π 71 - 67% open Β· β±οΈ 20.08.2023):
```
git clone https://github.com/dssg/aequitas
```
-- [PyPi](https://pypi.org/project/aequitas) (π₯ 1.5K / month Β· π¦ 6 Β· β±οΈ 16.12.2020):
+- [PyPi](https://pypi.org/project/aequitas) (π₯ 1.6K / month Β· π¦ 6 Β· β±οΈ 16.12.2020):
```
pip install aequitas
```
model-card-toolkit (π₯19 Β· β 390) - A toolkit that streamlines and automates the generation.. Apache-2
+model-card-toolkit (π₯20 Β· β 390) - A toolkit that streamlines and automates the generation.. Apache-2
-- [GitHub](https://github.com/tensorflow/model-card-toolkit) (π¨βπ» 22 Β· π 79 Β· π₯ 8 Β· π¦ 21 Β· π 33 - 30% open Β· β±οΈ 26.07.2023):
+- [GitHub](https://github.com/tensorflow/model-card-toolkit) (π¨βπ» 22 Β· π 79 Β· π₯ 9 Β· π¦ 21 Β· π 30 - 23% open Β· β±οΈ 26.07.2023):
```
git clone https://github.com/tensorflow/model-card-toolkit
```
-- [PyPi](https://pypi.org/project/model-card-toolkit) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 28.04.2022):
+- [PyPi](https://pypi.org/project/model-card-toolkit) (π₯ 1.3K / month):
```
pip install model-card-toolkit
```
@@ -6798,14 +6827,26 @@ _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₯ 4.6K / month Β· β±οΈ 13.12.2022):
+- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 4.7K / month):
```
pip install fairness-indicators
```
sklearn-evaluation (π₯18 Β· β 360 Β· π€) - Machine learning model evaluation made easy: plots,.. MIT
+
+- [GitHub](https://github.com/edublancas/sklearn-evaluation) (π¨βπ» 19 Β· π 41 Β· β±οΈ 13.01.2023):
+
+ ```
+ git clone https://github.com/edublancas/sklearn-evaluation
+ ```
+- [PyPi](https://pypi.org/project/sklearn-evaluation) (π₯ 17K / month Β· π¦ 5 Β· β±οΈ 28.12.2020):
+ ```
+ pip install sklearn-evaluation
+ ```
+LOFO (π₯16 Β· β 770) - Leave One Feature Out Importance. MIT
-- [GitHub](https://github.com/aerdem4/lofo-importance) (π¨βπ» 5 Β· π 76 Β· π¦ 27 Β· π 25 - 12% open Β· β±οΈ 14.04.2023):
+- [GitHub](https://github.com/aerdem4/lofo-importance) (π¨βπ» 5 Β· π 77 Β· π¦ 27 Β· π 25 - 12% open Β· β±οΈ 14.04.2023):
```
git clone https://github.com/aerdem4/lofo-importance
@@ -6815,14 +6856,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
pip install lofo-importance
```
FlashTorch (π₯15 Β· β 710) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT
+FlashTorch (π₯16 Β· β 710) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT
- [GitHub](https://github.com/MisaOgura/flashtorch) (π¨βπ» 2 Β· π 88 Β· π¦ 15 Β· π 32 - 31% open Β· β±οΈ 21.09.2023):
```
git clone https://github.com/MisaOgura/flashtorch
```
-- [PyPi](https://pypi.org/project/flashtorch) (π₯ 120 / month Β· β±οΈ 29.05.2020):
+- [PyPi](https://pypi.org/project/flashtorch) (π₯ 220 / month Β· β±οΈ 29.05.2020):
```
pip install flashtorch
```
@@ -6834,33 +6875,32 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/interpretml/interpret-text
```
-- [PyPi](https://pypi.org/project/interpret-text) (π₯ 36 / month Β· β±οΈ 07.12.2021):
+- [PyPi](https://pypi.org/project/interpret-text) (π₯ 42 / month Β· β±οΈ 07.12.2021):
```
pip install interpret-text
```
Show 20 hidden projects...
+Show 19 hidden projects...
- Lime (π₯33 Β· β 11K Β· π) - Lime: Explaining the predictions of any machine learning classifier. BSD-2
- Deep Checks (π₯28 Β· β 3.1K) - Deepchecks: Tests for Continuous Validation of ML Models &.. βUnlicensed
- scikit-plot (π₯28 Β· β 2.4K Β· π) - An intuitive library to add plotting functionality to.. MIT MIT
+- eli5 (π₯27 Β· β 2.7K Β· π) - A library for debugging/inspecting machine learning classifiers and.. MIT
- Lucid (π₯25 Β· β 4.6K Β· π) - A collection of infrastructure and tools for research in.. Apache-2 βοΈGPL-3.0
- keras-vis (π₯24 Β· β 3K Β· π) - Neural network visualization toolkit for keras. MIT βοΈGPL-3.0
- tf-explain (π₯22 Β· β 1K Β· π) - Interpretability Methods for tf.keras models with Tensorflow.. MIT MIT MIT MIT
- Quantus (π₯21 Β· β 420) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. βοΈGPL-3.0
-- deeplift (π₯20 Β· β 760 Β· π) - Public facing deeplift repo. MIT
- TreeInterpreter (π₯20 Β· β 730 Β· π) - Package for interpreting scikit-learns decision tree.. BSD-3 Apache-2 Apache-2 MIT
- Anchor (π₯16 Β· β 760 Β· π) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2
-- XAI (π₯15 Β· β 940 Β· π) - XAI - An eXplainability toolbox for machine learning. MIT
- ExplainX.ai (π₯14 Β· β 370 Β· π) - Explainable AI framework for data scientists. Explain & debug any.. MIT
- Attribution Priors (π₯12 Β· β 120 Β· π) - Tools for training explainable models using.. MIT Apache-2
-- sklearn-evaluation (π₯10 Β· β 2 Β· π€) - Machine learning model evaluation made easy: plots,.. MIT MIT
+- contextual-ai (π₯11 Β· β 86 Β· π) - Contextual AI adds explainability to different stages of.. Apache-2
+- bias-detector (π₯10 Β· β 43 Β· π) - MIT
@@ -6872,34 +6912,34 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
π ANN Benchmarks ( β 4.1K) - Benchmarks of approximate nearest neighbor libraries in Python.
-Milvus (π₯40 Β· β 24K) - A cloud-native vector database, storage for next generation AI.. Apache-2
+Milvus (π₯41 Β· β 24K) - A cloud-native vector database, storage for next generation AI.. Apache-2
-- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 260 Β· π 2.5K Β· π₯ 48K Β· π 9.3K - 7% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 260 Β· π 2.5K Β· π₯ 50K Β· π 9.4K - 7% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/milvus-io/milvus
```
-- [PyPi](https://pypi.org/project/pymilvus) (π₯ 460K / month Β· π¦ 34 Β· β±οΈ 22.09.2023):
+- [PyPi](https://pypi.org/project/pymilvus) (π₯ 460K / month Β· π¦ 49 Β· β±οΈ 26.10.2023):
```
pip install pymilvus
```
-- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 6.5M Β· β 37 Β· β±οΈ 19.10.2023):
+- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 6.7M Β· β 37 Β· β±οΈ 26.10.2023):
```
docker pull milvusdb/milvus
```
Faiss (π₯38 Β· β 25K) - A library for efficient similarity search and clustering of dense vectors. MIT
-- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 140 Β· π 3.1K Β· π¦ 3.2K Β· π 2.2K - 16% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 140 Β· π 3.1K Β· π¦ 3.2K Β· π 2.2K - 16% open Β· β±οΈ 20.10.2023):
```
git clone https://github.com/facebookresearch/faiss
```
-- [PyPi](https://pypi.org/project/pymilvus) (π₯ 460K / month Β· π¦ 34 Β· β±οΈ 22.09.2023):
+- [PyPi](https://pypi.org/project/pymilvus) (π₯ 460K / month Β· π¦ 49 Β· β±οΈ 26.10.2023):
```
pip install pymilvus
```
-- [Conda](https://anaconda.org/conda-forge/faiss) (π₯ 950K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/faiss) (π₯ 960K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge faiss
```
@@ -6911,7 +6951,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/spotify/annoy
```
-- [PyPi](https://pypi.org/project/annoy) (π₯ 1M / month Β· π¦ 270 Β· β±οΈ 14.06.2023):
+- [PyPi](https://pypi.org/project/annoy) (π₯ 1.1M / month Β· π¦ 270 Β· β±οΈ 14.06.2023):
```
pip install annoy
```
@@ -6920,7 +6960,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
conda install -c conda-forge python-annoy
```
hnswlib (π₯31 Β· β 3.5K Β· π€) - Header-only C++/python library for fast approximate nearest.. Apache-2
+hnswlib (π₯31 Β· β 3.6K Β· π€) - Header-only C++/python library for fast approximate nearest.. Apache-2
- [GitHub](https://github.com/nmslib/hnswlib) (π¨βπ» 65 Β· π 500 Β· π¦ 5.2K Β· π 320 - 53% open Β· β±οΈ 05.02.2023):
@@ -6931,19 +6971,19 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
pip install hnswlib
```
-- [Conda](https://anaconda.org/conda-forge/hnswlib) (π₯ 110K Β· β±οΈ 27.09.2023):
+- [Conda](https://anaconda.org/conda-forge/hnswlib) (π₯ 120K Β· β±οΈ 27.09.2023):
```
conda install -c conda-forge hnswlib
```
PyNNDescent (π₯29 Β· β 800) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2
-- [GitHub](https://github.com/lmcinnes/pynndescent) (π¨βπ» 26 Β· π 98 Β· π¦ 4.5K Β· π 130 - 52% open Β· β±οΈ 12.09.2023):
+- [GitHub](https://github.com/lmcinnes/pynndescent) (π¨βπ» 26 Β· π 98 Β· π¦ 4.6K Β· π 130 - 52% open Β· β±οΈ 12.09.2023):
```
git clone https://github.com/lmcinnes/pynndescent
```
-- [PyPi](https://pypi.org/project/pynndescent) (π₯ 970K / month Β· π¦ 59 Β· β±οΈ 31.10.2022):
+- [PyPi](https://pypi.org/project/pynndescent) (π₯ 980K / month Β· π¦ 59 Β· β±οΈ 31.10.2022):
```
pip install pynndescent
```
@@ -6952,22 +6992,22 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
conda install -c conda-forge pynndescent
```
USearch (π₯27 Β· β 820) - Fastest Open-Source Search & Clustering engine for Vectors & Strings.. Apache-2
+USearch (π₯27 Β· β 830) - Fastest Open-Source Search & Clustering engine for Vectors & Strings.. Apache-2
-- [GitHub](https://github.com/unum-cloud/usearch) (π¨βπ» 23 Β· π 40 Β· π₯ 310 Β· π¦ 21 Β· π 62 - 32% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/unum-cloud/usearch) (π¨βπ» 23 Β· π 40 Β· π₯ 340 Β· π¦ 21 Β· π 64 - 31% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/unum-cloud/usearch
```
-- [PyPi](https://pypi.org/project/usearch) (π₯ 36K / month Β· π¦ 1 Β· β±οΈ 17.10.2023):
+- [PyPi](https://pypi.org/project/usearch) (π₯ 40K / month Β· π¦ 1 Β· β±οΈ 25.10.2023):
```
pip install usearch
```
-- [npm](https://www.npmjs.com/package/usearch) (π₯ 4.7K / month Β· π¦ 2 Β· β±οΈ 17.10.2023):
+- [npm](https://www.npmjs.com/package/usearch) (π₯ 6.3K / month Β· π¦ 3 Β· β±οΈ 24.10.2023):
```
npm install usearch
```
-- [Docker Hub](https://hub.docker.com/r/unum/usearch) (π₯ 41 Β· β 1 Β· β±οΈ 17.10.2023):
+- [Docker Hub](https://hub.docker.com/r/unum/usearch) (π₯ 41 Β· β 1 Β· β±οΈ 24.10.2023):
```
docker pull unum/usearch
```
@@ -6979,7 +7019,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/yahoojapan/NGT
```
-- [PyPi](https://pypi.org/project/ngt) (π₯ 6.5K / month Β· π¦ 8 Β· β±οΈ 21.09.2022):
+- [PyPi](https://pypi.org/project/ngt) (π₯ 6.2K / month Β· π¦ 8 Β· β±οΈ 21.09.2022):
```
pip install ngt
```
@@ -6991,19 +7031,19 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/pixelogik/NearPy
```
-- [PyPi](https://pypi.org/project/NearPy) (π₯ 680 / month Β· π¦ 16 Β· β±οΈ 27.09.2016):
+- [PyPi](https://pypi.org/project/NearPy) (π₯ 670 / month Β· π¦ 16 Β· β±οΈ 27.09.2016):
```
pip install NearPy
```
N2 (π₯19 Β· β 550) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast.. Apache-2
-- [GitHub](https://github.com/kakao/n2) (π¨βπ» 20 Β· π 70 Β· π¦ 28 Β· π 35 - 37% open Β· β±οΈ 27.06.2023):
+- [GitHub](https://github.com/kakao/n2) (π¨βπ» 20 Β· π 71 Β· π¦ 30 Β· π 35 - 37% open Β· β±οΈ 27.06.2023):
```
git clone https://github.com/kakao/n2
```
-- [PyPi](https://pypi.org/project/n2) (π₯ 350 / month Β· π¦ 4 Β· β±οΈ 16.10.2020):
+- [PyPi](https://pypi.org/project/n2) (π₯ 360 / month Β· π¦ 4 Β· β±οΈ 16.10.2020):
```
pip install n2
```
@@ -7024,12 +7064,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (π₯40 Β· β 7.8K) - Bayesian Modeling in Python. Apache-2
-- [GitHub](https://github.com/pymc-devs/pymc) (π¨βπ» 470 Β· π 1.8K Β· π₯ 1.9K Β· π¦ 2.1K Β· π 3.1K - 6% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/pymc-devs/pymc) (π¨βπ» 470 Β· π 1.8K Β· π₯ 1.9K Β· π¦ 2.2K Β· π 3.1K - 6% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/pymc-devs/pymc
```
-- [PyPi](https://pypi.org/project/pymc3) (π₯ 470K / month Β· π¦ 250 Β· β±οΈ 15.03.2022):
+- [PyPi](https://pypi.org/project/pymc3) (π₯ 480K / month Β· π¦ 250 Β· β±οΈ 15.03.2022):
```
pip install pymc3
```
@@ -7040,28 +7080,28 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
tensorflow-probability (π₯37 Β· β 4K) - Probabilistic reasoning and statistical analysis in.. Apache-2
-- [GitHub](https://github.com/tensorflow/probability) (π¨βπ» 480 Β· π 1.1K Β· π 1.4K - 46% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/tensorflow/probability) (π¨βπ» 480 Β· π 1.1K Β· π 1.4K - 46% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/tensorflow/probability
```
-- [PyPi](https://pypi.org/project/tensorflow-probability) (π₯ 1.3M / month Β· π¦ 430 Β· β±οΈ 02.10.2023):
+- [PyPi](https://pypi.org/project/tensorflow-probability) (π₯ 1.3M / month Β· π¦ 430 Β· β±οΈ 23.10.2023):
```
pip install tensorflow-probability
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (π₯ 120K Β· β±οΈ 23.07.2023):
+- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (π₯ 120K Β· β±οΈ 23.10.2023):
```
conda install -c conda-forge tensorflow-probability
```
Pyro (π₯36 Β· β 8.2K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2
-- [GitHub](https://github.com/pyro-ppl/pyro) (π¨βπ» 140 Β· π 940 Β· π¦ 1.6K Β· π 1K - 20% open Β· β±οΈ 07.10.2023):
+- [GitHub](https://github.com/pyro-ppl/pyro) (π¨βπ» 140 Β· π 970 Β· π¦ 1.7K Β· π 1.1K - 22% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/pyro-ppl/pyro
```
-- [PyPi](https://pypi.org/project/pyro-ppl) (π₯ 520K / month):
+- [PyPi](https://pypi.org/project/pyro-ppl) (π₯ 460K / month Β· π¦ 92 Β· β±οΈ 29.07.2023):
```
pip install pyro-ppl
```
@@ -7070,14 +7110,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge pyro-ppl
```
GPyTorch (π₯31 Β· β 3.2K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT
+GPyTorch (π₯31 Β· β 3.3K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT
- [GitHub](https://github.com/cornellius-gp/gpytorch) (π¨βπ» 120 Β· π 500 Β· π¦ 1.6K Β· π 1.3K - 24% open Β· β±οΈ 20.09.2023):
```
git clone https://github.com/cornellius-gp/gpytorch
```
-- [PyPi](https://pypi.org/project/gpytorch) (π₯ 220K / month Β· π¦ 67 Β· β±οΈ 02.06.2023):
+- [PyPi](https://pypi.org/project/gpytorch) (π₯ 210K / month Β· π¦ 67 Β· β±οΈ 02.06.2023):
```
pip install gpytorch
```
@@ -7086,7 +7126,19 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge gpytorch
```
pomegranate (π₯31 Β· β 3.2K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT
+pgmpy (π₯31 Β· β 2.5K) - Python Library for learning (Structure and Parameter), inference.. MIT
+
+- [GitHub](https://github.com/pgmpy/pgmpy) (π¨βπ» 120 Β· π 680 Β· π₯ 290 Β· π¦ 750 Β· π 870 - 29% open Β· β±οΈ 26.10.2023):
+
+ ```
+ git clone https://github.com/pgmpy/pgmpy
+ ```
+- [PyPi](https://pypi.org/project/pgmpy) (π₯ 55K / month Β· π¦ 31 Β· β±οΈ 16.10.2023):
+ ```
+ pip install pgmpy
+ ```
+pomegranate (π₯30 Β· β 3.2K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT
- [GitHub](https://github.com/jmschrei/pomegranate) (π¨βπ» 71 Β· π 570 Β· π¦ 990 Β· π 740 - 3% open Β· β±οΈ 26.08.2023):
@@ -7102,18 +7154,6 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge pomegranate
```
pgmpy (π₯31 Β· β 2.5K) - Python Library for learning (Structure and Parameter), inference.. MIT
-
-- [GitHub](https://github.com/pgmpy/pgmpy) (π¨βπ» 120 Β· π 680 Β· π₯ 290 Β· π¦ 740 Β· π 870 - 29% open Β· β±οΈ 18.10.2023):
-
- ```
- git clone https://github.com/pgmpy/pgmpy
- ```
-- [PyPi](https://pypi.org/project/pgmpy) (π₯ 52K / month Β· π¦ 31 Β· β±οΈ 16.10.2023):
- ```
- pip install pgmpy
- ```
-GPflow (π₯30 Β· β 1.8K) - Gaussian processes in TensorFlow. Apache-2
- [GitHub](https://github.com/GPflow/GPflow) (π¨βπ» 83 Β· π 440 Β· π¦ 570 Β· π 820 - 17% open Β· β±οΈ 09.08.2023):
@@ -7121,7 +7161,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/GPflow/GPflow
```
-- [PyPi](https://pypi.org/project/gpflow) (π₯ 45K / month Β· π¦ 36 Β· β±οΈ 09.08.2023):
+- [PyPi](https://pypi.org/project/gpflow) (π₯ 43K / month Β· π¦ 36 Β· β±οΈ 09.08.2023):
```
pip install gpflow
```
@@ -7132,12 +7172,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
emcee (π₯30 Β· β 1.4K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT
-- [GitHub](https://github.com/dfm/emcee) (π¨βπ» 71 Β· π 430 Β· π¦ 2.1K Β· π 280 - 17% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/dfm/emcee) (π¨βπ» 71 Β· π 410 Β· π¦ 2.1K Β· π 280 - 16% open Β· β±οΈ 17.10.2023):
```
git clone https://github.com/dfm/emcee
```
-- [PyPi](https://pypi.org/project/emcee) (π₯ 92K / month Β· π¦ 350 Β· β±οΈ 10.05.2022):
+- [PyPi](https://pypi.org/project/emcee) (π₯ 91K / month):
```
pip install emcee
```
@@ -7153,7 +7193,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/pydata/patsy
```
-- [PyPi](https://pypi.org/project/patsy) (π₯ 9.4M / month Β· π¦ 2.7K Β· β±οΈ 09.10.2022):
+- [PyPi](https://pypi.org/project/patsy) (π₯ 9.6M / month Β· π¦ 2.7K Β· β±οΈ 09.10.2022):
```
pip install patsy
```
@@ -7164,12 +7204,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
SALib (π₯30 Β· β 750) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT
-- [GitHub](https://github.com/SALib/SALib) (π¨βπ» 44 Β· π 220 Β· π¦ 910 Β· π 320 - 15% open Β· β±οΈ 13.10.2023):
+- [GitHub](https://github.com/SALib/SALib) (π¨βπ» 43 Β· π 220 Β· π¦ 920 Β· π 320 - 15% open Β· β±οΈ 13.10.2023):
```
git clone https://github.com/SALib/SALib
```
-- [PyPi](https://pypi.org/project/salib) (π₯ 100K / month Β· π¦ 82 Β· β±οΈ 22.06.2022):
+- [PyPi](https://pypi.org/project/salib) (π₯ 110K / month Β· π¦ 82 Β· β±οΈ 22.06.2022):
```
pip install salib
```
@@ -7196,12 +7236,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
bambi (π₯27 Β· β 940) - BAyesian Model-Building Interface (Bambi) in Python. MIT
-- [GitHub](https://github.com/bambinos/bambi) (π¨βπ» 35 Β· π 110 Β· π¦ 89 Β· π 360 - 18% open Β· β±οΈ 11.10.2023):
+- [GitHub](https://github.com/bambinos/bambi) (π¨βπ» 35 Β· π 110 Β· π¦ 90 Β· π 360 - 18% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/bambinos/bambi
```
-- [PyPi](https://pypi.org/project/bambi) (π₯ 19K / month Β· π¦ 9 Β· β±οΈ 02.07.2023):
+- [PyPi](https://pypi.org/project/bambi) (π₯ 19K / month):
```
pip install bambi
```
@@ -7210,7 +7250,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge bambi
```
Baal (π₯25 Β· β 790) - Library to enable Bayesian active learning in your research or labeling.. Apache-2
+Baal (π₯25 Β· β 800) - Library to enable Bayesian active learning in your research or labeling.. Apache-2
- [GitHub](https://github.com/baal-org/baal) (π¨βπ» 21 Β· π 79 Β· π¦ 52 Β· π 110 - 22% open Β· β±οΈ 02.10.2023):
@@ -7228,7 +7268,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Orbit (π₯23 Β· β 1.7K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2
-- [GitHub](https://github.com/uber/orbit) (π¨βπ» 18 Β· π 130 Β· π¦ 39 Β· π 390 - 16% open Β· β±οΈ 26.09.2023):
+- [GitHub](https://github.com/uber/orbit) (π¨βπ» 18 Β· π 130 Β· π¦ 40 Β· π 390 - 16% open Β· β±οΈ 26.09.2023):
```
git clone https://github.com/uber/orbit
@@ -7238,14 +7278,29 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pip install orbit-ml
```
Show 9 hidden projects...
+scikit-posthocs (π₯21 Β· β 300) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT
+
+- [GitHub](https://github.com/maximtrp/scikit-posthocs) (π¨βπ» 12 Β· π 37 Β· π₯ 37 Β· π 50 - 10% open Β· β±οΈ 27.08.2023):
+
+ ```
+ git clone https://github.com/maximtrp/scikit-posthocs
+ ```
+- [PyPi](https://pypi.org/project/scikit-posthocs) (π₯ 75K / month Β· π¦ 24 Β· β±οΈ 07.05.2022):
+ ```
+ pip install scikit-posthocs
+ ```
+- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (π₯ 900K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge scikit-posthocs
+ ```
+Show 8 hidden projects...
-- filterpy (π₯31 Β· β 2.9K Β· π) - Python Kalman filtering and optimal estimation library. Implements.. MIT
+- filterpy (π₯32 Β· β 2.9K Β· π) - Python Kalman filtering and optimal estimation library. Implements.. MIT
- pandas-ta (π₯30 Β· β 4.1K Β· π) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT βοΈGPL-3.0
- Edward (π₯28 Β· β 4.8K Β· π) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 ISC
-- scikit-posthocs (π₯21 Β· β 300) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT Apache-2 MIT
- ZhuSuan (π₯15 Β· β 2.2K Β· π) - A probabilistic programming library for Bayesian deep learning,.. MIT cuDF (π₯33 Β· β 6K) - cuDF - GPU DataFrame Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 260 Β· π 730 Β· π¦ 46 Β· π 5.8K - 15% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 260 Β· π 730 Β· π¦ 47 Β· π 5.8K - 15% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/rapidsai/cudf
```
-- [PyPi](https://pypi.org/project/cudf) (π₯ 1.6K / month Β· π¦ 8 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cudf) (π₯ 1.7K / month Β· π¦ 8 Β· β±οΈ 01.06.2020):
```
pip install cudf
```
optimum (π₯32 Β· β 1.7K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2
-- [GitHub](https://github.com/huggingface/optimum) (π¨βπ» 82 Β· π 260 Β· π¦ 700 Β· π 540 - 41% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/huggingface/optimum) (π¨βπ» 82 Β· π 260 Β· π¦ 740 Β· π 540 - 41% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/huggingface/optimum
@@ -7353,7 +7408,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
gpustat (π₯31 Β· β 3.6K) - A simple command-line utility for querying and monitoring GPU status. MIT
-- [GitHub](https://github.com/wookayin/gpustat) (π¨βπ» 17 Β· π 260 Β· π¦ 4.1K Β· π 120 - 24% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/wookayin/gpustat) (π¨βπ» 17 Β· π 260 Β· π¦ 4.2K Β· π 120 - 24% open Β· β±οΈ 16.10.2023):
```
git clone https://github.com/wookayin/gpustat
@@ -7374,19 +7429,19 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
git clone https://github.com/NVIDIA/apex
```
-- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (π₯ 170K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (π₯ 180K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge nvidia-apex
```
cuML (π₯30 Β· β 3.6K) - cuML - RAPIDS Machine Learning Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cuml) (π¨βπ» 170 Β· π 470 Β· π 2.3K - 34% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/rapidsai/cuml) (π¨βπ» 160 Β· π 470 Β· π 2.3K - 34% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/rapidsai/cuml
```
-- [PyPi](https://pypi.org/project/cuml) (π₯ 1.6K / month Β· π¦ 5 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cuml) (π₯ 1.7K / month Β· π¦ 5 Β· β±οΈ 01.06.2020):
```
pip install cuml
```
@@ -7414,19 +7469,19 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
git clone https://github.com/arrayfire/arrayfire
```
-- [PyPi](https://pypi.org/project/arrayfire) (π₯ 940 / month Β· π¦ 7 Β· β±οΈ 22.02.2022):
+- [PyPi](https://pypi.org/project/arrayfire) (π₯ 970 / month Β· π¦ 7 Β· β±οΈ 22.02.2022):
```
pip install arrayfire
```
cuGraph (π₯27 Β· β 1.4K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cugraph) (π¨βπ» 100 Β· π 250 Β· π¦ 2 Β· π 1.6K - 18% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/rapidsai/cugraph) (π¨βπ» 100 Β· π 250 Β· π¦ 2 Β· π 1.6K - 18% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/rapidsai/cugraph
```
-- [PyPi](https://pypi.org/project/cugraph) (π₯ 140 / month Β· π¦ 2 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cugraph) (π₯ 150 / month Β· π¦ 2 Β· β±οΈ 01.06.2020):
```
pip install cugraph
```
@@ -7457,46 +7512,46 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
DALI (π₯25 Β· β 4.6K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2
-- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 87 Β· π 590 Β· π 1.5K - 18% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 87 Β· π 590 Β· π 1.5K - 18% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/NVIDIA/DALI
```
scikit-cuda (π₯24 Β· β 940) - Python interface to GPU-powered libraries. BSD-3
+scikit-cuda (π₯24 Β· β 950) - Python interface to GPU-powered libraries. BSD-3
- [GitHub](https://github.com/lebedov/scikit-cuda) (π¨βπ» 44 Β· π 170 Β· π¦ 270 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₯ 700 / month Β· π¦ 49 Β· β±οΈ 27.05.2019):
+- [PyPi](https://pypi.org/project/scikit-cuda) (π₯ 690 / month Β· π¦ 49 Β· β±οΈ 27.05.2019):
```
pip install scikit-cuda
```
Merlin (π₯22 Β· β 610) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2
+Vulkan Kompute (π₯22 Β· β 1.3K) - General purpose GPU compute framework built on Vulkan to.. Apache-2
-- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (π¨βπ» 32 Β· π 92 Β· π 440 - 44% open Β· β±οΈ 10.10.2023):
+- [GitHub](https://github.com/KomputeProject/kompute) (π¨βπ» 23 Β· π 94 Β· π₯ 480 Β· π¦ 7 Β· π 190 - 33% open Β· β±οΈ 26.10.2023):
```
- git clone https://github.com/NVIDIA-Merlin/Merlin
+ git clone https://github.com/KomputeProject/kompute
```
-- [PyPi](https://pypi.org/project/merlin-core) (π₯ 4.6K / month Β· π¦ 1 Β· β±οΈ 29.08.2023):
+- [PyPi](https://pypi.org/project/kp) (π₯ 170 / month Β· β±οΈ 13.04.2022):
```
- pip install merlin-core
+ pip install kp
```
Vulkan Kompute (π₯21 Β· β 1.3K) - General purpose GPU compute framework built on Vulkan to.. Apache-2
+Merlin (π₯22 Β· β 610) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2
-- [GitHub](https://github.com/KomputeProject/kompute) (π¨βπ» 22 Β· π 92 Β· π₯ 470 Β· π¦ 7 Β· π 190 - 33% open Β· β±οΈ 12.08.2023):
+- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (π¨βπ» 32 Β· π 92 Β· π 440 - 44% open Β· β±οΈ 10.10.2023):
```
- git clone https://github.com/KomputeProject/kompute
+ git clone https://github.com/NVIDIA-Merlin/Merlin
```
-- [PyPi](https://pypi.org/project/kp) (π₯ 160 / month Β· β±οΈ 13.04.2022):
+- [PyPi](https://pypi.org/project/merlin-core) (π₯ 4.7K / month Β· π¦ 1 Β· β±οΈ 29.08.2023):
```
- pip install kp
+ pip install merlin-core
```
cuSignal (π₯18 Β· β 700) - GPU accelerated signal processing. Apache-2
@@ -7526,12 +7581,12 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (π₯38 Β· β 4K) - TFDS is a collection of datasets ready to use with.. Apache-2
-- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 300 Β· π 1.5K Β· π¦ 15K Β· π 1.3K - 48% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 300 Β· π 1.4K Β· π¦ 15K Β· π 1.1K - 36% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/tensorflow/datasets
```
-- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 1.9M / month Β· π¦ 210 Β· β±οΈ 08.09.2023):
+- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 2M / month):
```
pip install tensorflow-datasets
```
@@ -7542,12 +7597,12 @@ _Libraries that extend TensorFlow with additional capabilities._
TF Addons (π₯35 Β· β 1.7K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2
-- [GitHub](https://github.com/tensorflow/addons) (π¨βπ» 200 Β· π 590 Β· π¦ 13K Β· π 1.1K - 21% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/tensorflow/addons) (π¨βπ» 200 Β· π 590 Β· π¦ 13K Β· π 1.1K - 21% open Β· β±οΈ 19.10.2023):
```
git clone https://github.com/tensorflow/addons
```
-- [PyPi](https://pypi.org/project/tensorflow-addons) (π₯ 830K / month Β· π¦ 220 Β· β±οΈ 17.10.2023):
+- [PyPi](https://pypi.org/project/tensorflow-addons) (π₯ 850K / month Β· π¦ 220 Β· β±οΈ 17.10.2023):
```
pip install tensorflow-addons
```
@@ -7559,7 +7614,7 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/hub
```
-- [PyPi](https://pypi.org/project/tensorflow-hub) (π₯ 2.4M / month Β· π¦ 330 Β· β±οΈ 06.10.2023):
+- [PyPi](https://pypi.org/project/tensorflow-hub) (π₯ 2.3M / month Β· π¦ 330 Β· β±οΈ 06.10.2023):
```
pip install tensorflow-hub
```
@@ -7580,38 +7635,38 @@ _Libraries that extend TensorFlow with additional capabilities._
pip install tensor2tensor
```
TFX (π₯32 Β· β 2K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2
+TF Model Optimization (π₯32 Β· β 1.4K) - A toolkit to optimize ML models for deployment for.. Apache-2
-- [GitHub](https://github.com/tensorflow/tfx) (π¨βπ» 180 Β· π 670 Β· π 920 - 10% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/tensorflow/model-optimization) (π¨βπ» 82 Β· π 320 Β· π¦ 3.2K Β· π 370 - 55% open Β· β±οΈ 14.09.2023):
```
- git clone https://github.com/tensorflow/tfx
+ git clone https://github.com/tensorflow/model-optimization
```
-- [PyPi](https://pypi.org/project/tfx) (π₯ 48K / month Β· π¦ 14 Β· β±οΈ 06.09.2023):
+- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (π₯ 460K / month Β· π¦ 30 Β· β±οΈ 26.05.2023):
```
- pip install tfx
+ pip install tensorflow-model-optimization
```
TF Model Optimization (π₯32 Β· β 1.4K) - A toolkit to optimize ML models for deployment for.. Apache-2
+TFX (π₯31 Β· β 2K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2
-- [GitHub](https://github.com/tensorflow/model-optimization) (π¨βπ» 82 Β· π 320 Β· π¦ 3.2K Β· π 370 - 55% open Β· β±οΈ 14.09.2023):
+- [GitHub](https://github.com/tensorflow/tfx) (π¨βπ» 180 Β· π 670 Β· π 930 - 10% open Β· β±οΈ 18.10.2023):
```
- git clone https://github.com/tensorflow/model-optimization
+ git clone https://github.com/tensorflow/tfx
```
-- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (π₯ 460K / month Β· π¦ 30 Β· β±οΈ 26.05.2023):
+- [PyPi](https://pypi.org/project/tfx) (π₯ 51K / month Β· π¦ 14 Β· β±οΈ 06.09.2023):
```
- pip install tensorflow-model-optimization
+ pip install tfx
```
TensorFlow Transform (π₯32 Β· β 970) - Input pipeline framework. Apache-2
+TensorFlow Transform (π₯31 Β· β 970) - Input pipeline framework. Apache-2
-- [GitHub](https://github.com/tensorflow/transform) (π¨βπ» 27 Β· π 210 Β· π¦ 1.5K Β· π 220 - 20% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/tensorflow/transform) (π¨βπ» 27 Β· π 210 Β· π¦ 1.5K Β· π 220 - 20% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/tensorflow/transform
```
-- [PyPi](https://pypi.org/project/tensorflow-transform) (π₯ 840K / month Β· π¦ 56 Β· β±οΈ 11.08.2023):
+- [PyPi](https://pypi.org/project/tensorflow-transform) (π₯ 810K / month Β· π¦ 56 Β· β±οΈ 11.08.2023):
```
pip install tensorflow-transform
```
@@ -7623,33 +7678,33 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/io
```
-- [PyPi](https://pypi.org/project/tensorflow-io) (π₯ 3M / month Β· π¦ 33 Β· β±οΈ 08.09.2023):
+- [PyPi](https://pypi.org/project/tensorflow-io) (π₯ 2.9M / month Β· π¦ 33 Β· β±οΈ 08.09.2023):
```
pip install tensorflow-io
```
TensorFlow Cloud (π₯26 Β· β 360 Β· π€) - The TensorFlow Cloud repository provides APIs that.. Apache-2
+Neural Structured Learning (π₯25 Β· β 970) - Training neural models with structured signals. Apache-2
-- [GitHub](https://github.com/tensorflow/cloud) (π¨βπ» 27 Β· π 84 Β· π¦ 300 Β· π 100 - 73% open Β· β±οΈ 22.12.2022):
+- [GitHub](https://github.com/tensorflow/neural-structured-learning) (π¨βπ» 38 Β· π 190 Β· π¦ 380 Β· π 69 - 1% open Β· β±οΈ 20.09.2023):
```
- git clone https://github.com/tensorflow/cloud
+ git clone https://github.com/tensorflow/neural-structured-learning
```
-- [PyPi](https://pypi.org/project/tensorflow-cloud) (π₯ 69K / month Β· π¦ 7 Β· β±οΈ 17.06.2021):
+- [PyPi](https://pypi.org/project/neural-structured-learning) (π₯ 14K / month Β· π¦ 3 Β· β±οΈ 29.07.2022):
```
- pip install tensorflow-cloud
+ pip install neural-structured-learning
```
Neural Structured Learning (π₯25 Β· β 970) - Training neural models with structured signals. Apache-2
+TensorFlow Cloud (π₯25 Β· β 360) - The TensorFlow Cloud repository provides APIs that.. Apache-2
-- [GitHub](https://github.com/tensorflow/neural-structured-learning) (π¨βπ» 38 Β· π 190 Β· π¦ 380 Β· π 69 - 1% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/tensorflow/cloud) (π¨βπ» 27 Β· π 84 Β· π¦ 300 Β· π 100 - 73% open Β· β±οΈ 20.10.2023):
```
- git clone https://github.com/tensorflow/neural-structured-learning
+ git clone https://github.com/tensorflow/cloud
```
-- [PyPi](https://pypi.org/project/neural-structured-learning) (π₯ 14K / month Β· π¦ 3 Β· β±οΈ 29.07.2022):
+- [PyPi](https://pypi.org/project/tensorflow-cloud) (π₯ 63K / month Β· π¦ 7 Β· β±οΈ 17.06.2021):
```
- pip install neural-structured-learning
+ pip install tensorflow-cloud
```
TF Compression (π₯23 Β· β 780) - Data compression in TensorFlow. Apache-2
@@ -7659,7 +7714,7 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/compression
```
-- [PyPi](https://pypi.org/project/tensorflow-compression) (π₯ 9.3K / month Β· π¦ 2 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/tensorflow-compression) (π₯ 10K / month Β· π¦ 2 Β· β±οΈ 12.10.2023):
```
pip install tensorflow-compression
```
@@ -7668,9 +7723,9 @@ _Libraries that extend TensorFlow with additional capabilities._
- Keras-Preprocessing (π₯29 Β· β 1K Β· π) - Utilities for working with image data, text data, and.. MIT Apache-2 Apache-2 Apache-2 MIT MIT MIT
@@ -7680,26 +7735,26 @@ _Libraries that extend TensorFlow with additional capabilities._
_Libraries that extend Jax with additional capabilities._
-equinox (π₯29 Β· β 1.4K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2
+equinox (π₯30 Β· β 1.5K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2
-- [GitHub](https://github.com/patrick-kidger/equinox) (π¨βπ» 41 Β· π 93 Β· π¦ 260 Β· π 250 - 25% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/patrick-kidger/equinox) (π¨βπ» 42 Β· π 95 Β· π¦ 270 Β· π 260 - 27% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/patrick-kidger/equinox
```
-- [PyPi](https://pypi.org/project/equinox) (π₯ 21K / month Β· π¦ 36 Β· β±οΈ 13.10.2023):
+- [PyPi](https://pypi.org/project/equinox) (π₯ 23K / month Β· π¦ 39 Β· β±οΈ 13.10.2023):
```
pip install equinox
```
evojax (π₯21 Β· β 700) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2
-- [GitHub](https://github.com/google/evojax) (π¨βπ» 14 Β· π 58 Β· π¦ 12 Β· π 27 - 37% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/google/evojax) (π¨βπ» 14 Β· π 58 Β· π¦ 13 Β· π 27 - 37% open Β· β±οΈ 29.08.2023):
```
git clone https://github.com/google/evojax
```
-- [PyPi](https://pypi.org/project/evojax) (π₯ 450 / month Β· π¦ 2 Β· β±οΈ 29.08.2023):
+- [PyPi](https://pypi.org/project/evojax) (π₯ 370 / month Β· π¦ 2 Β· β±οΈ 29.08.2023):
```
pip install evojax
```
@@ -7722,12 +7777,12 @@ _Libraries that extend scikit-learn with additional capabilities._
imbalanced-learn (π₯36 Β· β 6.5K) - A Python Package to Tackle the Curse of Imbalanced.. MIT
-- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (π¨βπ» 80 Β· π 1.2K Β· π¦ 21K Β· π 570 - 6% open Β· β±οΈ 07.09.2023):
+- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (π¨βπ» 80 Β· π 1.2K Β· π¦ 21K Β· π 570 - 6% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/scikit-learn-contrib/imbalanced-learn
```
-- [PyPi](https://pypi.org/project/imbalanced-learn) (π₯ 5.2M / month Β· π¦ 330 Β· β±οΈ 08.07.2023):
+- [PyPi](https://pypi.org/project/imbalanced-learn) (π₯ 5.7M / month Β· π¦ 330 Β· β±οΈ 08.07.2023):
```
pip install imbalanced-learn
```
@@ -7743,7 +7798,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/rasbt/mlxtend
```
-- [PyPi](https://pypi.org/project/mlxtend) (π₯ 750K / month Β· π¦ 180 Β· β±οΈ 25.09.2023):
+- [PyPi](https://pypi.org/project/mlxtend) (π₯ 780K / month Β· π¦ 180 Β· β±οΈ 25.09.2023):
```
pip install mlxtend
```
@@ -7754,12 +7809,12 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-learn-intelex (π₯34 Β· β 1.1K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2
-- [GitHub](https://github.com/intel/scikit-learn-intelex) (π¨βπ» 77 Β· π 160 Β· π¦ 8.1K Β· π 220 - 23% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/intel/scikit-learn-intelex) (π¨βπ» 77 Β· π 150 Β· π¦ 8.2K Β· π 200 - 18% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/intel/scikit-learn-intelex
```
-- [PyPi](https://pypi.org/project/scikit-learn-intelex) (π₯ 170K / month Β· π¦ 17 Β· β±οΈ 21.07.2023):
+- [PyPi](https://pypi.org/project/scikit-learn-intelex) (π₯ 170K / month):
```
pip install scikit-learn-intelex
```
@@ -7784,21 +7839,21 @@ _Libraries that extend scikit-learn with additional capabilities._
conda install -c conda-forge category_encoders
```
scikit-multilearn (π₯28 Β· β 870) - A scikit-learn based module for multi-label et. al... BSD-2
+scikit-multilearn (π₯28 Β· β 880) - A scikit-learn based module for multi-label et. al... BSD-2
- [GitHub](https://github.com/scikit-multilearn/scikit-multilearn) (π¨βπ» 28 Β· π 170 Β· π¦ 1.3K Β· π 210 - 41% open Β· β±οΈ 19.04.2023):
```
git clone https://github.com/scikit-multilearn/scikit-multilearn
```
-- [PyPi](https://pypi.org/project/scikit-multilearn) (π₯ 79K / month Β· π¦ 24 Β· β±οΈ 10.12.2018):
+- [PyPi](https://pypi.org/project/scikit-multilearn) (π₯ 75K / month Β· π¦ 24 Β· β±οΈ 10.12.2018):
```
pip install scikit-multilearn
```
scikit-lego (π₯27 Β· β 1.1K) - Extra blocks for scikit-learn pipelines. MIT
-- [GitHub](https://github.com/koaning/scikit-lego) (π¨βπ» 61 Β· π 100 Β· π¦ 120 Β· π 280 - 10% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/koaning/scikit-lego) (π¨βπ» 61 Β· π 100 Β· π¦ 120 Β· π 280 - 10% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/koaning/scikit-lego
@@ -7814,12 +7869,12 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-opt (π₯24 Β· β 4.5K Β· π€) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT
-- [GitHub](https://github.com/guofei9987/scikit-opt) (π¨βπ» 17 Β· π 900 Β· π¦ 150 Β· π 170 - 36% open Β· β±οΈ 19.02.2023):
+- [GitHub](https://github.com/guofei9987/scikit-opt) (π¨βπ» 17 Β· π 900 Β· π¦ 160 Β· π 170 - 36% open Β· β±οΈ 19.02.2023):
```
git clone https://github.com/guofei9987/scikit-opt
```
-- [PyPi](https://pypi.org/project/scikit-opt) (π₯ 3.5K / month):
+- [PyPi](https://pypi.org/project/scikit-opt) (π₯ 3.6K / month):
```
pip install scikit-opt
```
@@ -7831,19 +7886,19 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/yzhao062/combo
```
-- [PyPi](https://pypi.org/project/combo) (π₯ 72K / month):
+- [PyPi](https://pypi.org/project/combo) (π₯ 76K / month):
```
pip install combo
```
DESlib (π₯19 Β· β 440) - A Python library for dynamic classifier and ensemble selection. BSD-3
+DESlib (π₯17 Β· β 450) - A Python library for dynamic classifier and ensemble selection. BSD-3
-- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (π¨βπ» 16 Β· π 73 Β· π¦ 44 Β· π 150 - 9% open Β· β±οΈ 18.06.2023):
+- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (π¨βπ» 16 Β· π 74 Β· π¦ 44 Β· π 150 - 9% open Β· β±οΈ 18.06.2023):
```
git clone https://github.com/scikit-learn-contrib/DESlib
```
-- [PyPi](https://pypi.org/project/deslib) (π₯ 850 / month Β· π¦ 2 Β· β±οΈ 08.02.2021):
+- [PyPi](https://pypi.org/project/deslib) (π₯ 960 / month):
```
pip install deslib
```
@@ -7851,14 +7906,14 @@ _Libraries that extend scikit-learn with additional capabilities._
Show 10 hidden projects...
- scikit-survival (π₯28 Β· β 990) - Survival analysis built on top of scikit-learn. βοΈGPL-3.0 Apache-2 Apache-2 βUnlicensed BSD-3 BSD-3 βUnlicensed BSD-3 βUnlicensed MIT MIT βUnlicensed BSD-3
@@ -7871,28 +7926,28 @@ _Libraries that extend Pytorch with additional capabilities._
accelerate (π₯38 Β· β 5.9K) - A simple way to train and use PyTorch models with multi-.. Apache-2
-- [GitHub](https://github.com/huggingface/accelerate) (π¨βπ» 180 Β· π 620 Β· π¦ 16K Β· π 1K - 10% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/huggingface/accelerate) (π¨βπ» 190 Β· π 640 Β· π¦ 16K Β· π 1K - 10% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/huggingface/accelerate
```
-- [PyPi](https://pypi.org/project/accelerate) (π₯ 7.1M / month Β· π¦ 330 Β· β±οΈ 14.09.2023):
+- [PyPi](https://pypi.org/project/accelerate) (π₯ 6.9M / month Β· π¦ 380 Β· β±οΈ 24.10.2023):
```
pip install accelerate
```
-- [Conda](https://anaconda.org/conda-forge/accelerate) (π₯ 76K Β· β±οΈ 15.09.2023):
+- [Conda](https://anaconda.org/conda-forge/accelerate) (π₯ 79K Β· β±οΈ 15.09.2023):
```
conda install -c conda-forge accelerate
```
PML (π₯32 Β· β 5.5K) - The easiest way to use deep metric learning in your application. Modular,.. MIT
-- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (π¨βπ» 38 Β· π 630 Β· π¦ 940 Β· π 470 - 10% open Β· β±οΈ 25.07.2023):
+- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (π¨βπ» 38 Β· π 620 Β· π¦ 960 Β· π 470 - 10% open Β· β±οΈ 25.07.2023):
```
git clone https://github.com/KevinMusgrave/pytorch-metric-learning
```
-- [PyPi](https://pypi.org/project/pytorch-metric-learning) (π₯ 360K / month Β· π¦ 19 Β· β±οΈ 25.07.2023):
+- [PyPi](https://pypi.org/project/pytorch-metric-learning) (π₯ 370K / month):
```
pip install pytorch-metric-learning
```
@@ -7903,7 +7958,7 @@ _Libraries that extend Pytorch with additional capabilities._
tinygrad (π₯31 Β· β 20K) - You like pytorch? You like micrograd? You love tinygrad!. MIT
-- [GitHub](https://github.com/tinygrad/tinygrad) (π¨βπ» 220 Β· π 2.1K Β· π¦ 28 Β· π 380 - 16% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/tinygrad/tinygrad) (π¨βπ» 220 Β· π 2.1K Β· π¦ 29 Β· π 380 - 16% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/geohot/tinygrad
@@ -7916,7 +7971,7 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/Lightning-AI/lightning-flash
```
-- [PyPi](https://pypi.org/project/lightning-flash) (π₯ 1.8K / month Β· π¦ 3 Β· β±οΈ 11.05.2022):
+- [PyPi](https://pypi.org/project/lightning-flash) (π₯ 2.1K / month Β· π¦ 3 Β· β±οΈ 11.05.2022):
```
pip install lightning-flash
```
@@ -7927,12 +7982,12 @@ _Libraries that extend Pytorch with additional capabilities._
torchsde (π₯30 Β· β 1.4K) - Differentiable SDE solvers with GPU support and efficient.. Apache-2
-- [GitHub](https://github.com/google-research/torchsde) (π¨βπ» 8 Β· π 170 Β· π¦ 1.6K Β· π 69 - 27% open Β· β±οΈ 26.09.2023):
+- [GitHub](https://github.com/google-research/torchsde) (π¨βπ» 8 Β· π 170 Β· π¦ 1.7K Β· π 69 - 27% open Β· β±οΈ 26.09.2023):
```
git clone https://github.com/google-research/torchsde
```
-- [PyPi](https://pypi.org/project/torchsde) (π₯ 980K / month Β· π¦ 10 Β· β±οΈ 26.09.2023):
+- [PyPi](https://pypi.org/project/torchsde) (π₯ 1M / month Β· π¦ 10 Β· β±οΈ 26.09.2023):
```
pip install torchsde
```
@@ -7943,16 +7998,16 @@ _Libraries that extend Pytorch with additional capabilities._
torchdiffeq (π₯29 Β· β 4.9K) - Differentiable ODE solvers with full GPU support and.. MIT
-- [GitHub](https://github.com/rtqichen/torchdiffeq) (π¨βπ» 21 Β· π 850 Β· π¦ 2.3K Β· π 200 - 30% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/rtqichen/torchdiffeq) (π¨βπ» 21 Β· π 850 Β· π¦ 2.4K Β· π 200 - 30% open Β· β±οΈ 19.10.2023):
```
git clone https://github.com/rtqichen/torchdiffeq
```
-- [PyPi](https://pypi.org/project/torchdiffeq) (π₯ 830K / month Β· π¦ 36 Β· β±οΈ 22.04.2022):
+- [PyPi](https://pypi.org/project/torchdiffeq) (π₯ 820K / month Β· π¦ 36 Β· β±οΈ 22.04.2022):
```
pip install torchdiffeq
```
-- [Conda](https://anaconda.org/conda-forge/torchdiffeq) (π₯ 13K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/torchdiffeq) (π₯ 14K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge torchdiffeq
```
@@ -7968,14 +8023,14 @@ _Libraries that extend Pytorch with additional capabilities._
```
pip install torch_optimizer
```
-- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (π₯ 9K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (π₯ 9.1K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge torch-optimizer
```
TabNet (π₯26 Β· β 2.3K) - PyTorch implementation of TabNet paper :.. MIT
+TabNet (π₯27 Β· β 2.3K) - PyTorch implementation of TabNet paper :.. MIT
-- [GitHub](https://github.com/dreamquark-ai/tabnet) (π¨βπ» 21 Β· π 440 Β· π 310 - 16% open Β· β±οΈ 23.07.2023):
+- [GitHub](https://github.com/dreamquark-ai/tabnet) (π¨βπ» 21 Β· π 440 Β· π 320 - 16% open Β· β±οΈ 23.07.2023):
```
git clone https://github.com/dreamquark-ai/tabnet
@@ -7984,7 +8039,7 @@ _Libraries that extend Pytorch with additional capabilities._
```
pip install pytorch-tabnet
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (π₯ 5.6K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (π₯ 5.7K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge pytorch-tabnet
```
@@ -7996,7 +8051,7 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/rusty1s/pytorch_scatter
```
-- [PyPi](https://pypi.org/project/torch-scatter) (π₯ 42K / month Β· π¦ 77 Β· β±οΈ 06.10.2023):
+- [PyPi](https://pypi.org/project/torch-scatter) (π₯ 46K / month Β· π¦ 77 Β· β±οΈ 06.10.2023):
```
pip install torch-scatter
```
@@ -8007,28 +8062,28 @@ _Libraries that extend Pytorch with additional capabilities._
Pytorch Toolbelt (π₯25 Β· β 1.4K) - 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 30 - 3% open Β· β±οΈ 27.08.2023):
+- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (π¨βπ» 7 Β· π 120 Β· π₯ 7 Β· π 30 - 3% open Β· β±οΈ 27.08.2023):
```
git clone https://github.com/BloodAxe/pytorch-toolbelt
```
-- [PyPi](https://pypi.org/project/pytorch_toolbelt) (π₯ 18K / month Β· π¦ 7 Β· β±οΈ 27.06.2022):
+- [PyPi](https://pypi.org/project/pytorch_toolbelt) (π₯ 17K / month Β· π¦ 7 Β· β±οΈ 27.06.2022):
```
pip install pytorch_toolbelt
```
PyTorch Sparse (π₯24 Β· β 880) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT
+PyTorch Sparse (π₯24 Β· β 890) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT
-- [GitHub](https://github.com/rusty1s/pytorch_sparse) (π¨βπ» 44 Β· π 140 Β· π 240 - 8% open Β· β±οΈ 05.10.2023):
+- [GitHub](https://github.com/rusty1s/pytorch_sparse) (π¨βπ» 44 Β· π 140 Β· π 250 - 9% open Β· β±οΈ 05.10.2023):
```
git clone https://github.com/rusty1s/pytorch_sparse
```
-- [PyPi](https://pypi.org/project/torch-sparse) (π₯ 25K / month Β· π¦ 73 Β· β±οΈ 06.10.2023):
+- [PyPi](https://pypi.org/project/torch-sparse) (π₯ 26K / month Β· π¦ 73 Β· β±οΈ 06.10.2023):
```
pip install torch-sparse
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (π₯ 230K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (π₯ 240K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge pytorch_sparse
```
@@ -8040,19 +8095,19 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/lucidrains/reformer-pytorch
```
-- [PyPi](https://pypi.org/project/reformer-pytorch) (π₯ 1.9K / month Β· β±οΈ 06.11.2021):
+- [PyPi](https://pypi.org/project/reformer-pytorch) (π₯ 2.2K / month):
```
pip install reformer-pytorch
```
madgrad (π₯16 Β· β 790) - MADGRAD Optimization Method. MIT
-- [GitHub](https://github.com/facebookresearch/madgrad) (π¨βπ» 2 Β· π 56 Β· π¦ 62 Β· π 11 - 9% open Β· β±οΈ 11.04.2023):
+- [GitHub](https://github.com/facebookresearch/madgrad) (π¨βπ» 2 Β· π 56 Β· π¦ 64 Β· π 11 - 9% open Β· β±οΈ 11.04.2023):
```
git clone https://github.com/facebookresearch/madgrad
```
-- [PyPi](https://pypi.org/project/madgrad) (π₯ 2.9K / month Β· π¦ 1 Β· β±οΈ 08.03.2022):
+- [PyPi](https://pypi.org/project/madgrad) (π₯ 3.1K / month Β· π¦ 1 Β· β±οΈ 08.03.2022):
```
pip install madgrad
```
@@ -8061,23 +8116,23 @@ _Libraries that extend Pytorch with additional capabilities._
- pretrainedmodels (π₯29 Β· β 8.8K Β· π) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 MIT Apache-2 Apache-2 MIT MIT Apache-2 Apache-2 Apache-2 Apache-2 βοΈCC BY-NC-SA 4.0 MIT
-- Torchmeta (π₯20 Β· β 1.9K Β· π) - A collection of extensions and data-loaders for few-shot.. MIT MIT βοΈLGPL-3.0 Apache-2 MIT MIT βοΈCC BY-NC-SA 4.0 MIT MIT Apache-2 MIT Apache-2 Apache-2 βUnlicensed
@@ -8097,7 +8152,7 @@ _Libraries for connecting to, operating, and querying databases._
SymPy (π₯48 Β· β 11K) - A computer algebra system written in pure Python. BSD-3
-- [GitHub](https://github.com/sympy/sympy) (π¨βπ» 1.3K Β· π 4K Β· π₯ 520K Β· π¦ 88K Β· π 13K - 36% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/sympy/sympy) (π¨βπ» 1.3K Β· π 4K Β· π₯ 520K Β· π¦ 89K Β· π 13K - 36% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/sympy/sympy
@@ -8106,19 +8161,19 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install sympy
```
-- [Conda](https://anaconda.org/conda-forge/sympy) (π₯ 4.5M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sympy) (π₯ 4.6M Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge sympy
```
scipy (π₯47 Β· β 12K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3
-- [GitHub](https://github.com/scipy/scipy) (π¨βπ» 1.5K Β· π 4.9K Β· π₯ 380K Β· π¦ 19 Β· π 9.7K - 17% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/scipy/scipy) (π¨βπ» 1.5K Β· π 4.9K Β· π₯ 380K Β· π¦ 21 Β· π 9.7K - 17% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/scipy/scipy
```
-- [PyPi](https://pypi.org/project/scipy) (π₯ 63M / month Β· π¦ 64K Β· β±οΈ 27.09.2023):
+- [PyPi](https://pypi.org/project/scipy) (π₯ 64M / month Β· π¦ 64K Β· β±οΈ 27.09.2023):
```
pip install scipy
```
@@ -8129,19 +8184,19 @@ _Libraries for connecting to, operating, and querying databases._
Streamlit (π₯41 Β· β 28K) - Streamlit A faster way to build and share data apps. Apache-2
-- [GitHub](https://github.com/streamlit/streamlit) (π¨βπ» 200 Β· π 2.4K Β· π¦ 1K Β· π 3.7K - 18% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/streamlit/streamlit) (π¨βπ» 200 Β· π 2.4K Β· π¦ 1K Β· π 3.7K - 18% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/streamlit/streamlit
```
-- [PyPi](https://pypi.org/project/streamlit) (π₯ 2.3M / month Β· π¦ 1.1K Β· β±οΈ 03.10.2023):
+- [PyPi](https://pypi.org/project/streamlit) (π₯ 2.4M / month Β· π¦ 1.1K Β· β±οΈ 03.10.2023):
```
pip install streamlit
```
Gradio (π₯41 Β· β 23K) - Wrap UIs around any model, share with anyone. Apache-2
-- [GitHub](https://github.com/gradio-app/gradio) (π¨βπ» 220 Β· π 1.6K Β· π¦ 15K Β· π 3K - 14% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/gradio-app/gradio) (π¨βπ» 220 Β· π 1.6K Β· π¦ 16K Β· π 3K - 14% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/gradio-app/gradio
@@ -8151,30 +8206,14 @@ _Libraries for connecting to, operating, and querying databases._
pip install gradio
```
Autograd (π₯36 Β· β 6.5K) - Efficiently computes derivatives of numpy code. MIT
-
-- [GitHub](https://github.com/HIPS/autograd) (π¨βπ» 55 Β· π 870 Β· π¦ 6.3K Β· π 410 - 42% open Β· β±οΈ 02.08.2023):
-
- ```
- git clone https://github.com/HIPS/autograd
- ```
-- [PyPi](https://pypi.org/project/autograd) (π₯ 1.2M / month Β· π¦ 320 Β· β±οΈ 23.06.2023):
- ```
- pip install autograd
- ```
-- [Conda](https://anaconda.org/conda-forge/autograd) (π₯ 360K Β· β±οΈ 26.06.2023):
- ```
- conda install -c conda-forge autograd
- ```
-DeepChem (π₯36 Β· β 4.7K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT
-- [GitHub](https://github.com/deepchem/deepchem) (π¨βπ» 230 Β· π 1.5K Β· π¦ 270 Β· π 1.7K - 27% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/deepchem/deepchem) (π¨βπ» 230 Β· π 1.5K Β· π¦ 270 Β· π 1.7K - 27% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/deepchem/deepchem
```
-- [PyPi](https://pypi.org/project/deepchem) (π₯ 16K / month Β· π¦ 11 Β· β±οΈ 17.10.2023):
+- [PyPi](https://pypi.org/project/deepchem) (π₯ 18K / month Β· π¦ 11 Β· β±οΈ 25.10.2023):
```
pip install deepchem
```
@@ -8190,74 +8229,74 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/simonw/datasette
```
-- [PyPi](https://pypi.org/project/datasette) (π₯ 34K / month Β· π¦ 200 Β· β±οΈ 08.10.2023):
+- [PyPi](https://pypi.org/project/datasette) (π₯ 37K / month Β· π¦ 200 Β· β±οΈ 08.10.2023):
```
pip install datasette
```
-- [Conda](https://anaconda.org/conda-forge/datasette) (π₯ 26K Β· β±οΈ 27.09.2023):
+- [Conda](https://anaconda.org/conda-forge/datasette) (π₯ 27K Β· β±οΈ 27.09.2023):
```
conda install -c conda-forge datasette
```
agate (π₯35 Β· β 1.1K) - A Python data analysis library that is optimized for humans instead of.. MIT
+Autograd (π₯35 Β· β 6.5K) - Efficiently computes derivatives of numpy code. MIT
-- [GitHub](https://github.com/wireservice/agate) (π¨βπ» 52 Β· π 150 Β· π¦ 2.2K Β· π 650 - 1% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/HIPS/autograd) (π¨βπ» 55 Β· π 870 Β· π¦ 6.4K Β· π 410 - 42% open Β· β±οΈ 02.08.2023):
```
- git clone https://github.com/wireservice/agate
+ git clone https://github.com/HIPS/autograd
```
-- [PyPi](https://pypi.org/project/agate) (π₯ 4M / month Β· π¦ 150 Β· β±οΈ 18.10.2023):
+- [PyPi](https://pypi.org/project/autograd) (π₯ 1.3M / month Β· π¦ 320 Β· β±οΈ 23.06.2023):
```
- pip install agate
+ pip install autograd
```
-- [Conda](https://anaconda.org/conda-forge/agate) (π₯ 150K Β· β±οΈ 18.10.2023):
+- [Conda](https://anaconda.org/conda-forge/autograd) (π₯ 360K Β· β±οΈ 26.06.2023):
```
- conda install -c conda-forge agate
+ conda install -c conda-forge autograd
```
carla (π₯34 Β· β 9.8K) - Open-source simulator for autonomous driving research. MIT
-- [GitHub](https://github.com/carla-simulator/carla) (π¨βπ» 150 Β· π 2.9K Β· π¦ 560 Β· π 4.7K - 18% open Β· β±οΈ 06.06.2023):
+- [GitHub](https://github.com/carla-simulator/carla) (π¨βπ» 150 Β· π 3K Β· π¦ 560 Β· π 4.7K - 18% open Β· β±οΈ 06.06.2023):
```
git clone https://github.com/carla-simulator/carla
```
-- [PyPi](https://pypi.org/project/carla) (π₯ 13K / month Β· π¦ 4 Β· β±οΈ 24.12.2022):
+- [PyPi](https://pypi.org/project/carla) (π₯ 14K / month Β· π¦ 4 Β· β±οΈ 24.12.2022):
```
pip install carla
```
PaddleHub (π₯33 Β· β 12K Β· π€) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2
+PyOD (π₯34 Β· β 7.5K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (π¨βπ» 69 Β· π 2.1K Β· π₯ 660 Β· π¦ 1.4K Β· π 1.3K - 44% open Β· β±οΈ 28.03.2023):
+- [GitHub](https://github.com/yzhao062/pyod) (π¨βπ» 49 Β· π 1.3K Β· π¦ 2.9K Β· π 330 - 56% open Β· β±οΈ 25.10.2023):
```
- git clone https://github.com/PaddlePaddle/PaddleHub
+ git clone https://github.com/yzhao062/pyod
```
-- [PyPi](https://pypi.org/project/paddlehub) (π₯ 5.1K / month Β· π¦ 6 Β· β±οΈ 20.09.2023):
+- [PyPi](https://pypi.org/project/pyod) (π₯ 630K / month Β· π¦ 58 Β· β±οΈ 25.10.2023):
```
- pip install paddlehub
+ pip install pyod
+ ```
+- [Conda](https://anaconda.org/conda-forge/pyod) (π₯ 84K Β· β±οΈ 25.10.2023):
+ ```
+ conda install -c conda-forge pyod
```
PyOD (π₯33 Β· β 7.5K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2
+PaddleHub (π₯33 Β· β 12K Β· π€) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2
-- [GitHub](https://github.com/yzhao062/pyod) (π¨βπ» 48 Β· π 1.3K Β· π¦ 2.9K Β· π 330 - 57% open Β· β±οΈ 16.07.2023):
+- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (π¨βπ» 69 Β· π 2.1K Β· π₯ 660 Β· π¦ 1.4K Β· π 1.3K - 44% open Β· β±οΈ 28.03.2023):
```
- git clone https://github.com/yzhao062/pyod
- ```
-- [PyPi](https://pypi.org/project/pyod) (π₯ 630K / month Β· π¦ 56 Β· β±οΈ 25.06.2023):
- ```
- pip install pyod
+ git clone https://github.com/PaddlePaddle/PaddleHub
```
-- [Conda](https://anaconda.org/conda-forge/pyod) (π₯ 84K Β· β±οΈ 26.06.2023):
+- [PyPi](https://pypi.org/project/paddlehub) (π₯ 6K / month Β· π¦ 6 Β· β±οΈ 20.09.2023):
```
- conda install -c conda-forge pyod
+ pip install paddlehub
```
Pythran (π₯33 Β· β 1.9K) - Ahead of Time compiler for numeric kernels. BSD-3
-- [GitHub](https://github.com/serge-sans-paille/pythran) (π¨βπ» 72 Β· π 190 Β· π¦ 1.3K Β· π 830 - 15% open Β· β±οΈ 15.10.2023):
+- [GitHub](https://github.com/serge-sans-paille/pythran) (π¨βπ» 72 Β· π 190 Β· π¦ 1.3K Β· π 830 - 15% open Β· β±οΈ 20.10.2023):
```
git clone https://github.com/serge-sans-paille/pythran
@@ -8273,12 +8312,12 @@ _Libraries for connecting to, operating, and querying databases._
River (π₯32 Β· β 4.5K) - Online machine learning in Python. BSD-3
-- [GitHub](https://github.com/online-ml/river) (π¨βπ» 110 Β· π 500 Β· π¦ 370 Β· π 460 - 4% open Β· β±οΈ 15.10.2023):
+- [GitHub](https://github.com/online-ml/river) (π¨βπ» 110 Β· π 500 Β· π¦ 370 Β· π 460 - 4% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/online-ml/river
```
-- [PyPi](https://pypi.org/project/river) (π₯ 19K / month Β· π¦ 29 Β· β±οΈ 03.09.2023):
+- [PyPi](https://pypi.org/project/river) (π₯ 18K / month Β· π¦ 29 Β· β±οΈ 03.09.2023):
```
pip install river
```
@@ -8287,14 +8326,14 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge river
```
hdbscan (π₯32 Β· β 2.5K) - A high performance implementation of HDBSCAN clustering. BSD-3
+hdbscan (π₯32 Β· β 2.6K) - A high performance implementation of HDBSCAN clustering. BSD-3
- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (π¨βπ» 85 Β· π 460 Β· π¦ 2.7K Β· π 490 - 66% open Β· β±οΈ 04.10.2023):
```
git clone https://github.com/scikit-learn-contrib/hdbscan
```
-- [PyPi](https://pypi.org/project/hdbscan) (π₯ 590K / month Β· π¦ 220 Β· β±οΈ 18.07.2023):
+- [PyPi](https://pypi.org/project/hdbscan) (π₯ 610K / month Β· π¦ 220 Β· β±οΈ 18.07.2023):
```
pip install hdbscan
```
@@ -8305,12 +8344,12 @@ _Libraries for connecting to, operating, and querying databases._
PennyLane (π₯32 Β· β 1.9K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2
-- [GitHub](https://github.com/PennyLaneAI/pennylane) (π¨βπ» 140 Β· π 480 Β· π₯ 70 Β· π¦ 640 Β· π 1.1K - 27% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/PennyLaneAI/pennylane) (π¨βπ» 140 Β· π 480 Β· π₯ 70 Β· π¦ 650 Β· π 1.1K - 27% open Β· β±οΈ 26.10.2023):
```
git clone https://github.com/PennyLaneAI/PennyLane
```
-- [PyPi](https://pypi.org/project/pennylane) (π₯ 36K / month Β· π¦ 58 Β· β±οΈ 28.08.2023):
+- [PyPi](https://pypi.org/project/pennylane) (π₯ 38K / month Β· π¦ 58 Β· β±οΈ 28.08.2023):
```
pip install pennylane
```
@@ -8319,6 +8358,22 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge pennylane
```
agate (π₯32 Β· β 1.1K Β· π) - A Python data analysis library that is optimized for humans instead of.. MIT
+
+- [GitHub](https://github.com/wireservice/agate) (π¨βπ» 52 Β· π 140 Β· π¦ 2.3K Β· π 640 - 0% open Β· β±οΈ 18.10.2023):
+
+ ```
+ git clone https://github.com/wireservice/agate
+ ```
+- [PyPi](https://pypi.org/project/agate) (π₯ 4.3M / month):
+ ```
+ pip install agate
+ ```
+- [Conda](https://anaconda.org/conda-forge/agate) (π₯ 150K Β· β±οΈ 18.10.2023):
+ ```
+ conda install -c conda-forge agate
+ ```
+pyopencl (π₯32 Β· β 990) - OpenCL integration for Python, plus shiny features. MIT
- [GitHub](https://github.com/inducer/pyopencl) (π¨βπ» 95 Β· π 240 Β· π¦ 1.7K Β· π 330 - 21% open Β· β±οΈ 18.10.2023):
@@ -8326,11 +8381,11 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/inducer/pyopencl
```
-- [PyPi](https://pypi.org/project/pyopencl) (π₯ 82K / month Β· π¦ 200 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/pyopencl) (π₯ 81K / month Β· π¦ 200 Β· β±οΈ 12.10.2023):
```
pip install pyopencl
```
-- [Conda](https://anaconda.org/conda-forge/pyopencl) (π₯ 950K Β· β±οΈ 13.10.2023):
+- [Conda](https://anaconda.org/conda-forge/pyopencl) (π₯ 960K Β· β±οΈ 13.10.2023):
```
conda install -c conda-forge pyopencl
```
@@ -8351,57 +8406,45 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge datalad
```
pandas-ai (π₯30 Β· β 8.8K Β· π£) - PandasAI is the Python library that integrates Gen AI into pandas,.. MIT
-
-- [GitHub](https://github.com/gventuri/pandas-ai) (π¨βπ» 48 Β· π 690 Β· π¦ 2.3K Β· π 340 - 32% open Β· β±οΈ 18.10.2023):
-
- ```
- git clone https://github.com/gventuri/pandas-ai
- ```
-- [PyPi](https://pypi.org/project/pandas-ai):
- ```
- pip install pandas-ai
- ```
-causalml (π₯30 Β· β 4.3K) - Uplift modeling and causal inference with machine learning.. Apache-2
-- [GitHub](https://github.com/uber/causalml) (π¨βπ» 56 Β· π 690 Β· π¦ 170 Β· π 360 - 24% open Β· β±οΈ 16.10.2023):
+- [GitHub](https://github.com/uber/causalml) (π¨βπ» 57 Β· π 690 Β· π¦ 170 Β· π 360 - 24% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/uber/causalml
```
-- [PyPi](https://pypi.org/project/causalml) (π₯ 210K / month Β· π¦ 1 Β· β±οΈ 28.08.2023):
+- [PyPi](https://pypi.org/project/causalml) (π₯ 160K / month Β· π¦ 1 Β· β±οΈ 28.08.2023):
```
pip install causalml
```
adapter-transformers (π₯30 Β· β 1.9K) - Huggingface Transformers + Adapters =. Apache-2 huggingface
-- [GitHub](https://github.com/adapter-hub/adapter-transformers) (π¨βπ» 1.7K Β· π 280 Β· π¦ 240 Β· π 350 - 18% open Β· β±οΈ 09.09.2023):
+- [GitHub](https://github.com/adapter-hub/adapter-transformers) (π¨βπ» 1.7K Β· π 280 Β· π¦ 240 Β· π 340 - 15% open Β· β±οΈ 09.09.2023):
```
git clone https://github.com/Adapter-Hub/adapter-transformers
```
-- [PyPi](https://pypi.org/project/adapter-transformers) (π₯ 16K / month Β· π¦ 7 Β· β±οΈ 18.05.2022):
+- [PyPi](https://pypi.org/project/adapter-transformers) (π₯ 21K / month):
```
pip install adapter-transformers
```
avalanche (π₯30 Β· β 1.5K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT
-- [GitHub](https://github.com/ContinualAI/avalanche) (π¨βπ» 72 Β· π 240 Β· π₯ 4 Β· π¦ 50 Β· π 750 - 11% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/ContinualAI/avalanche) (π¨βπ» 73 Β· π 240 Β· π₯ 4 Β· π¦ 51 Β· π 750 - 11% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/ContinualAI/avalanche
```
-- [PyPi](https://pypi.org/project/avalanche-lib) (π₯ 1.7K / month Β· π¦ 1 Β· β±οΈ 28.07.2023):
+- [PyPi](https://pypi.org/project/avalanche-lib) (π₯ 1.5K / month Β· π¦ 1 Β· β±οΈ 28.07.2023):
```
pip install avalanche-lib
```
tensorly (π₯30 Β· β 1.4K) - TensorLy: Tensor Learning in Python. BSD-2
-- [GitHub](https://github.com/tensorly/tensorly) (π¨βπ» 66 Β· π 270 Β· π¦ 490 Β· π 250 - 23% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/tensorly/tensorly) (π¨βπ» 66 Β· π 270 Β· π¦ 500 Β· π 250 - 23% open Β· β±οΈ 20.10.2023):
```
git clone https://github.com/tensorly/tensorly
@@ -8417,7 +8460,7 @@ _Libraries for connecting to, operating, and querying databases._
pyjanitor (π₯30 Β· β 1.2K) - Clean APIs for data cleaning. Python implementation of R package.. MIT
-- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (π¨βπ» 110 Β· π 160 Β· π¦ 480 Β· π 540 - 19% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (π¨βπ» 110 Β· π 160 Β· π¦ 480 Β· π 540 - 19% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/pyjanitor-devs/pyjanitor
@@ -8431,38 +8474,50 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge pyjanitor
```
pandas-ai (π₯29 Β· β 8.9K Β· π£) - PandasAI is the Python library that integrates Gen AI into pandas,.. MIT
+
+- [GitHub](https://github.com/gventuri/pandas-ai) (π¨βπ» 50 Β· π 710 Β· π¦ 2.3K Β· π 360 - 34% open Β· β±οΈ 25.10.2023):
+
+ ```
+ git clone https://github.com/gventuri/pandas-ai
+ ```
+- [PyPi](https://pypi.org/project/pandas-ai):
+ ```
+ pip install pandas-ai
+ ```
+anomalib (π₯29 Β· β 2.5K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2
-- [GitHub](https://github.com/openvinotoolkit/anomalib) (π¨βπ» 61 Β· π 450 Β· π₯ 3.1K Β· π¦ 31 Β· π 580 - 10% open Β· β±οΈ 17.10.2023):
+- [GitHub](https://github.com/openvinotoolkit/anomalib) (π¨βπ» 61 Β· π 460 Β· π₯ 3.2K Β· π¦ 32 Β· π 560 - 5% open Β· β±οΈ 24.10.2023):
```
git clone https://github.com/openvinotoolkit/anomalib
```
-- [PyPi](https://pypi.org/project/anomalib) (π₯ 19K / month Β· π¦ 1 Β· β±οΈ 29.08.2023):
+- [PyPi](https://pypi.org/project/anomalib) (π₯ 21K / month):
```
pip install anomalib
```
alibi-detect (π₯29 Β· β 2K) - Algorithms for outlier, adversarial and drift detection. Apache-2
-- [GitHub](https://github.com/SeldonIO/alibi-detect) (π¨βπ» 19 Β· π 200 Β· π¦ 370 Β· π 370 - 36% open Β· β±οΈ 12.10.2023):
+- [GitHub](https://github.com/SeldonIO/alibi-detect) (π¨βπ» 20 Β· π 200 Β· π¦ 370 Β· π 370 - 36% open Β· β±οΈ 25.10.2023):
```
git clone https://github.com/SeldonIO/alibi-detect
```
-- [PyPi](https://pypi.org/project/alibi-detect) (π₯ 23K / month Β· π¦ 6 Β· β±οΈ 01.06.2022):
+- [PyPi](https://pypi.org/project/alibi-detect) (π₯ 24K / month Β· π¦ 6 Β· β±οΈ 01.06.2022):
```
pip install alibi-detect
```
Prince (π₯29 Β· β 1.1K) - 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¦ 420 Β· π 130 - 2% open Β· β±οΈ 11.10.2023):
+- [GitHub](https://github.com/MaxHalford/prince) (π¨βπ» 16 Β· π 180 Β· π¦ 430 Β· π 130 - 2% open Β· β±οΈ 11.10.2023):
```
git clone https://github.com/MaxHalford/prince
```
-- [PyPi](https://pypi.org/project/prince) (π₯ 75K / month Β· π¦ 10 Β· β±οΈ 11.10.2023):
+- [PyPi](https://pypi.org/project/prince) (π₯ 81K / month Β· π¦ 10 Β· β±οΈ 11.10.2023):
```
pip install prince
```
@@ -8471,14 +8526,14 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge prince-factor-analysis
```
TabPy (π₯28 Β· β 1.4K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT
+TabPy (π₯28 Β· β 1.5K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT
- [GitHub](https://github.com/tableau/TabPy) (π¨βπ» 49 Β· π 570 Β· π¦ 140 Β· π 310 - 3% open Β· β±οΈ 10.10.2023):
```
git clone https://github.com/tableau/TabPy
```
-- [PyPi](https://pypi.org/project/tabpy) (π₯ 14K / month Β· π¦ 2 Β· β±οΈ 30.01.2023):
+- [PyPi](https://pypi.org/project/tabpy) (π₯ 15K / month Β· π¦ 2 Β· β±οΈ 30.01.2023):
```
pip install tabpy
```
@@ -8489,12 +8544,12 @@ _Libraries for connecting to, operating, and querying databases._
metric-learn (π₯28 Β· β 1.3K) - Metric learning algorithms in Python. MIT
-- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (π¨βπ» 22 Β· π 260 Β· π¦ 300 Β· π 170 - 31% open Β· β±οΈ 29.09.2023):
+- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (π¨βπ» 22 Β· π 260 Β· π¦ 310 Β· π 170 - 31% open Β· β±οΈ 29.09.2023):
```
git clone https://github.com/scikit-learn-contrib/metric-learn
```
-- [PyPi](https://pypi.org/project/metric-learn) (π₯ 8.7K / month Β· π¦ 12 Β· β±οΈ 09.10.2023):
+- [PyPi](https://pypi.org/project/metric-learn) (π₯ 8.5K / month Β· π¦ 12 Β· β±οΈ 09.10.2023):
```
pip install metric-learn
```
@@ -8521,12 +8576,12 @@ _Libraries for connecting to, operating, and querying databases._
PySwarms (π₯28 Β· β 1.2K) - A research toolkit for particle swarm optimization in Python. MIT
-- [GitHub](https://github.com/ljvmiranda921/pyswarms) (π¨βπ» 45 Β· π 320 Β· π¦ 310 Β· π 220 - 9% open Β· β±οΈ 06.06.2023):
+- [GitHub](https://github.com/ljvmiranda921/pyswarms) (π¨βπ» 45 Β· π 320 Β· π¦ 310 Β· π 220 - 10% open Β· β±οΈ 06.06.2023):
```
git clone https://github.com/ljvmiranda921/pyswarms
```
-- [PyPi](https://pypi.org/project/pyswarms) (π₯ 9.7K / month Β· π¦ 14 Β· β±οΈ 03.01.2021):
+- [PyPi](https://pypi.org/project/pyswarms) (π₯ 13K / month Β· π¦ 14 Β· β±οΈ 03.01.2021):
```
pip install pyswarms
```
@@ -8550,45 +8605,57 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/sepandhaghighi/pycm
```
-- [PyPi](https://pypi.org/project/pycm) (π₯ 35K / month Β· π¦ 16 Β· β±οΈ 27.04.2022):
+- [PyPi](https://pypi.org/project/pycm) (π₯ 36K / month Β· π¦ 16 Β· β±οΈ 27.04.2022):
```
pip install pycm
```
Trax (π₯26 Β· β 7.7K Β· π€) - Trax Deep Learning with Clear Code and Speed. Apache-2
+modAL (π₯26 Β· β 2K) - A modular active learning framework for Python. MIT
-- [GitHub](https://github.com/google/trax) (π¨βπ» 78 Β· π 810 Β· π¦ 120 Β· π 240 - 47% open Β· β±οΈ 29.03.2023):
+- [GitHub](https://github.com/modAL-python/modAL) (π¨βπ» 20 Β· π 340 Β· π₯ 29 Β· π¦ 17 Β· π 150 - 62% open Β· β±οΈ 01.06.2023):
```
- git clone https://github.com/google/trax
+ git clone https://github.com/modAL-python/modAL
```
-- [PyPi](https://pypi.org/project/trax) (π₯ 4.5K / month Β· π¦ 1 Β· β±οΈ 26.10.2021):
+- [PyPi](https://pypi.org/project/modAL) (π₯ 130K / month Β· π¦ 3 Β· β±οΈ 26.10.2023):
```
- pip install trax
+ pip install modAL
```
modAL (π₯26 Β· β 2K) - A modular active learning framework for Python. MIT
+dstack (π₯26 Β· β 840) - Open-source toolkit for training, fine-tuning, and deploying generative.. MPL-2.0
-- [GitHub](https://github.com/modAL-python/modAL) (π¨βπ» 20 Β· π 340 Β· π₯ 29 Β· π¦ 16 Β· π 150 - 62% open Β· β±οΈ 01.06.2023):
+- [GitHub](https://github.com/dstackai/dstack) (π¨βπ» 13 Β· π 49 Β· π¦ 13 Β· π 400 - 2% open Β· β±οΈ 26.10.2023):
```
- git clone https://github.com/modAL-python/modAL
+ git clone https://github.com/dstackai/dstack
```
-- [PyPi](https://pypi.org/project/modAL) (π₯ 120K / month Β· π¦ 3 Β· β±οΈ 19.10.2023):
+- [PyPi](https://pypi.org/project/dstack) (π₯ 1.3K / month):
```
- pip install modAL
+ pip install dstack
```
dstack (π₯26 Β· β 830) - An open-source toolkit for training, fine-tuning, and deployment of.. MPL-2.0
+Trax (π₯25 Β· β 7.8K) - Trax Deep Learning with Clear Code and Speed. Apache-2
-- [GitHub](https://github.com/dstackai/dstack) (π¨βπ» 13 Β· π 53 Β· π¦ 12 Β· π 390 - 2% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/google/trax) (π¨βπ» 79 Β· π 810 Β· π¦ 120 Β· π 240 - 47% open Β· β±οΈ 23.10.2023):
```
- git clone https://github.com/dstackai/dstack
+ git clone https://github.com/google/trax
```
-- [PyPi](https://pypi.org/project/dstack) (π₯ 1.2K / month Β· β±οΈ 17.10.2023):
+- [PyPi](https://pypi.org/project/trax) (π₯ 4.4K / month Β· π¦ 1 Β· β±οΈ 26.10.2021):
```
- pip install dstack
+ pip install trax
+ ```
+Mars (π₯25 Β· β 2.7K) - Mars is a tensor-based unified framework for large-scale data.. Apache-2
+
+- [GitHub](https://github.com/mars-project/mars) (π¨βπ» 52 Β· π 310 Β· π 1.2K - 17% open Β· β±οΈ 25.09.2023):
+
+ ```
+ git clone https://github.com/mars-project/mars
+ ```
+- [PyPi](https://pypi.org/project/pymars) (π₯ 62K / month Β· π¦ 1 Β· β±οΈ 12.06.2022):
+ ```
+ pip install pymars
```
Feature Engine (π₯25 Β· β 1.5K Β· π€) - Feature engineering package with sklearn like functionality. BSD-3
@@ -8598,7 +8665,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/solegalli/feature_engine
```
-- [PyPi](https://pypi.org/project/feature_engine) (π₯ 150K / month Β· π¦ 86 Β· β±οΈ 18.09.2023):
+- [PyPi](https://pypi.org/project/feature_engine) (π₯ 140K / month Β· π¦ 86 Β· β±οΈ 18.09.2023):
```
pip install feature_engine
```
@@ -8609,28 +8676,28 @@ _Libraries for connecting to, operating, and querying databases._
gplearn (π₯25 Β· β 1.4K) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3
-- [GitHub](https://github.com/trevorstephens/gplearn) (π¨βπ» 11 Β· π 250 Β· π¦ 440 Β· π 210 - 10% open Β· β±οΈ 12.08.2023):
+- [GitHub](https://github.com/trevorstephens/gplearn) (π¨βπ» 11 Β· π 250 Β· π¦ 450 Β· π 210 - 10% open Β· β±οΈ 12.08.2023):
```
git clone https://github.com/trevorstephens/gplearn
```
-- [PyPi](https://pypi.org/project/gplearn) (π₯ 5.5K / month Β· π¦ 13 Β· β±οΈ 03.05.2022):
+- [PyPi](https://pypi.org/project/gplearn) (π₯ 5.9K / month Β· π¦ 13 Β· β±οΈ 03.05.2022):
```
pip install gplearn
```
-- [Conda](https://anaconda.org/conda-forge/gplearn) (π₯ 6.1K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/gplearn) (π₯ 6.2K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge gplearn
```
BioPandas (π₯25 Β· β 650) - Working with molecular structures in pandas DataFrames. BSD-3
-- [GitHub](https://github.com/BioPandas/biopandas) (π¨βπ» 15 Β· π 120 Β· π¦ 200 Β· π 56 - 41% open Β· β±οΈ 19.09.2023):
+- [GitHub](https://github.com/BioPandas/biopandas) (π¨βπ» 15 Β· π 120 Β· π¦ 210 Β· π 56 - 41% open Β· β±οΈ 19.09.2023):
```
git clone https://github.com/rasbt/biopandas
```
-- [PyPi](https://pypi.org/project/biopandas) (π₯ 81K / month Β· π¦ 23 Β· β±οΈ 28.08.2023):
+- [PyPi](https://pypi.org/project/biopandas) (π₯ 90K / month Β· π¦ 23 Β· β±οΈ 28.08.2023):
```
pip install biopandas
```
@@ -8641,53 +8708,53 @@ _Libraries for connecting to, operating, and querying databases._
AugLy (π₯24 Β· β 4.8K) - A data augmentations library for audio, image, text, and video. MIT
-- [GitHub](https://github.com/facebookresearch/AugLy) (π¨βπ» 32 Β· π 280 Β· π¦ 82 Β· π 73 - 26% open Β· β±οΈ 25.08.2023):
+- [GitHub](https://github.com/facebookresearch/AugLy) (π¨βπ» 32 Β· π 280 Β· π¦ 83 Β· π 73 - 26% open Β· β±οΈ 25.08.2023):
```
git clone https://github.com/facebookresearch/AugLy
```
-- [PyPi](https://pypi.org/project/augly) (π₯ 1.4K / month Β· π¦ 3 Β· β±οΈ 28.03.2022):
+- [PyPi](https://pypi.org/project/augly) (π₯ 1.5K / month Β· π¦ 3 Β· β±οΈ 28.03.2022):
```
pip install augly
```
Mars (π₯24 Β· β 2.6K) - Mars is a tensor-based unified framework for large-scale data.. Apache-2
+MONAILabel (π₯24 Β· β 460) - MONAI Label is an intelligent open source image labeling and.. Apache-2
-- [GitHub](https://github.com/mars-project/mars) (π¨βπ» 52 Β· π 310 Β· π 1.2K - 17% open Β· β±οΈ 25.09.2023):
+- [GitHub](https://github.com/Project-MONAI/MONAILabel) (π¨βπ» 53 Β· π 160 Β· π₯ 66K Β· π 460 - 18% open Β· β±οΈ 18.10.2023):
```
- git clone https://github.com/mars-project/mars
+ git clone https://github.com/Project-MONAI/MONAILabel
```
-- [PyPi](https://pypi.org/project/pymars) (π₯ 58K / month Β· π¦ 1 Β· β±οΈ 12.06.2022):
+- [PyPi](https://pypi.org/project/monailabel-weekly) (π₯ 260 / month):
```
- pip install pymars
+ pip install monailabel-weekly
```
MONAILabel (π₯24 Β· β 460) - MONAI Label is an intelligent open source image labeling and.. Apache-2
+SUOD (π₯23 Β· β 360) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2
-- [GitHub](https://github.com/Project-MONAI/MONAILabel) (π¨βπ» 53 Β· π 160 Β· π₯ 65K Β· π 460 - 18% open Β· β±οΈ 18.10.2023):
+- [GitHub](https://github.com/yzhao062/SUOD) (π¨βπ» 3 Β· π 46 Β· π¦ 490 Β· π 12 - 75% open Β· β±οΈ 16.07.2023):
```
- git clone https://github.com/Project-MONAI/MONAILabel
+ git clone https://github.com/yzhao062/SUOD
```
-- [PyPi](https://pypi.org/project/monailabel-weekly) (π₯ 330 / month Β· β±οΈ 01.10.2023):
+- [PyPi](https://pypi.org/project/suod) (π₯ 67K / month Β· π¦ 2 Β· β±οΈ 01.10.2021):
```
- pip install monailabel-weekly
+ pip install suod
```
SUOD (π₯23 Β· β 350) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2
+benchmark_VAE (π₯22 Β· β 1.5K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2
-- [GitHub](https://github.com/yzhao062/SUOD) (π¨βπ» 3 Β· π 46 Β· π¦ 490 Β· π 12 - 75% open Β· β±οΈ 16.07.2023):
+- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (π¨βπ» 15 Β· π 130 Β· π¦ 15 Β· π 42 - 26% open Β· β±οΈ 22.10.2023):
```
- git clone https://github.com/yzhao062/SUOD
+ git clone https://github.com/clementchadebec/benchmark_VAE
```
-- [PyPi](https://pypi.org/project/suod) (π₯ 64K / month Β· π¦ 2 Β· β±οΈ 01.10.2021):
+- [PyPi](https://pypi.org/project/pythae) (π₯ 510 / month):
```
- pip install suod
+ pip install pythae
```
AstroML (π₯22 Β· β 950 Β· π€) - Machine learning, statistics, and data mining for astronomy and.. BSD-2
+AstroML (π₯22 Β· β 960 Β· π€) - Machine learning, statistics, and data mining for astronomy and.. BSD-2
- [GitHub](https://github.com/astroML/astroML) (π¨βπ» 30 Β· π 280 Β· π 160 - 39% open Β· β±οΈ 12.12.2022):
@@ -8703,62 +8770,50 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge astroml
```
benchmark_VAE (π₯21 Β· β 1.5K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2
-
-- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (π¨βπ» 15 Β· π 130 Β· π¦ 14 Β· π 47 - 36% open Β· β±οΈ 11.10.2023):
-
- ```
- git clone https://github.com/clementchadebec/benchmark_VAE
- ```
-- [PyPi](https://pypi.org/project/pythae) (π₯ 500 / month Β· β±οΈ 06.09.2023):
- ```
- pip install pythae
- ```
-pykale (π₯20 Β· β 400) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT
-- [GitHub](https://github.com/pykale/pykale) (π¨βπ» 22 Β· π 57 Β· π¦ 1 Β· π 110 - 7% open Β· β±οΈ 04.10.2023):
+- [GitHub](https://github.com/pykale/pykale) (π¨βπ» 22 Β· π 59 Β· π¦ 1 Β· π 120 - 7% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/pykale/pykale
```
-- [PyPi](https://pypi.org/project/pykale) (π₯ 18 / month Β· β±οΈ 12.04.2022):
+- [PyPi](https://pypi.org/project/pykale) (π₯ 17 / month Β· β±οΈ 12.04.2022):
```
pip install pykale
```
rrcf (π₯19 Β· β 460) - Implementation of the Robust Random Cut Forest algorithm for anomaly detection.. MIT
-- [GitHub](https://github.com/kLabUM/rrcf) (π¨βπ» 7 Β· π 100 Β· π¦ 52 Β· π 47 - 57% open Β· β±οΈ 12.08.2023):
+- [GitHub](https://github.com/kLabUM/rrcf) (π¨βπ» 7 Β· π 100 Β· π¦ 53 Β· π 47 - 57% open Β· β±οΈ 12.08.2023):
```
git clone https://github.com/kLabUM/rrcf
```
-- [PyPi](https://pypi.org/project/rrcf) (π₯ 3K / month Β· π¦ 8 Β· β±οΈ 10.06.2020):
+- [PyPi](https://pypi.org/project/rrcf) (π₯ 4.6K / month Β· π¦ 8 Β· β±οΈ 10.06.2020):
```
pip install rrcf
```
NeuralCompression (π₯18 Β· β 400) - A collection of tools for neural compression enthusiasts. MIT
-- [GitHub](https://github.com/facebookresearch/NeuralCompression) (π¨βπ» 9 Β· π 40 Β· π 66 - 4% open Β· β±οΈ 12.10.2023):
+- [GitHub](https://github.com/facebookresearch/NeuralCompression) (π¨βπ» 9 Β· π 37 Β· π 66 - 4% open Β· β±οΈ 12.10.2023):
```
git clone https://github.com/facebookresearch/NeuralCompression
```
-- [PyPi](https://pypi.org/project/neuralcompression) (π₯ 260 / month Β· β±οΈ 03.10.2023):
+- [PyPi](https://pypi.org/project/neuralcompression) (π₯ 390 / month):
```
pip install neuralcompression
```
pymdp (π₯16 Β· β 310) - A Python implementation of active inference for Markov Decision Processes. MIT
+pymdp (π₯16 Β· β 320) - A Python implementation of active inference for Markov Decision Processes. MIT
-- [GitHub](https://github.com/infer-actively/pymdp) (π¨βπ» 14 Β· π 52 Β· π¦ 7 Β· π 36 - 33% open Β· β±οΈ 19.08.2023):
+- [GitHub](https://github.com/infer-actively/pymdp) (π¨βπ» 14 Β· π 53 Β· π¦ 7 Β· π 33 - 27% open Β· β±οΈ 19.08.2023):
```
git clone https://github.com/infer-actively/pymdp
```
-- [PyPi](https://pypi.org/project/inferactively-pymdp) (π₯ 110 / month Β· β±οΈ 08.12.2022):
+- [PyPi](https://pypi.org/project/inferactively-pymdp) (π₯ 120 / month):
```
pip install inferactively-pymdp
```
@@ -8770,28 +8825,28 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/SforAiDl/KD_Lib
```
-- [PyPi](https://pypi.org/project/KD-Lib) (π₯ 48 / month Β· β±οΈ 18.05.2022):
+- [PyPi](https://pypi.org/project/KD-Lib) (π₯ 50 / month Β· β±οΈ 18.05.2022):
```
pip install KD-Lib
```
Show 17 hidden projects...
-- cleanlab (π₯31 Β· β 6.8K) - The standard data-centric AI package for data quality and machine.. βοΈAGPL-3.0
+- cleanlab (π₯31 Β· β 6.9K) - The standard data-centric AI package for data quality and machine.. βοΈAGPL-3.0
- Cython BLIS (π₯30 Β· β 200) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3
-- pyclustering (π₯28 Β· β 1.1K Β· π) - pyclustering is a Python, C++ data mining library. BSD-3
+- pyclustering (π₯29 Β· β 1.1K Β· π) - pyclustering is a Python, C++ data mining library. BSD-3
- minisom (π₯26 Β· β 1.3K) - MiniSom is a minimalistic implementation of the Self Organizing.. βοΈCC-BY-3.0
-- metricflow (π₯25 Β· β 970) - MetricFlow allows you to define, build, and maintain metrics.. βUnlicensed
+- metricflow (π₯24 Β· β 970) - MetricFlow allows you to define, build, and maintain metrics.. βUnlicensed
- findspark (π₯24 Β· β 500 Β· π) - Find pyspark to make it importable. BSD-3 MIT
- vecstack (π₯22 Β· β 680 Β· π) - Python package for stacking (machine learning technique). MIT
+- StreamAlert (π₯21 Β· β 2.8K Β· π) - StreamAlert is a serverless, realtime data analysis.. Apache-2
- impyute (π₯21 Β· β 340 Β· π) - Data imputations library to preprocess datasets with missing data. MIT
- opyrator (π₯20 Β· β 2.9K Β· π) - Turns your machine learning code into microservices with web API,.. MIT
-- StreamAlert (π₯20 Β· β 2.8K Β· π) - StreamAlert is a serverless, realtime data analysis.. Apache-2
- apricot (π₯20 Β· β 480 Β· π) - apricot implements submodular optimization for the purpose of.. MIT
-- scikit-rebate (π₯20 Β· β 380 Β· π) - A scikit-learn-compatible Python implementation of.. MIT BSD-3
-- pandas-ml (π₯18 Β· β 310 Β· π) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 MIT BSD-3 MIT
- nylon (π₯12 Β· β 83 Β· π) - An intelligent, flexible grammar of machine learning. MIT
MIT MIT MIT
+- HoloViews (π₯35 Β· β 2.5K Β· π) - With Holoviews, your data visualizes itself. BSD-3 MPL-2.0 BSD-3 BSD-3 MIT MIT 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._
+
+- torchvision (π₯38 Β· β 15K Β· π) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 βUnlicensed
+- agate (π₯32 Β· β 1.1K Β· π) - A Python data analysis library that is optimized for humans instead of.. MIT
+- torchtext (π₯29 Β· β 3.4K Β· π) - Models, data loaders and abstractions for language.. BSD-3 Unlicense
+- polyglot (π₯23 Β· β 2.2K Β· π) - Multilingual text (NLP) processing toolkit. βUnlicensed
+- EfficientNet-PyTorch (π₯22 Β· β 7.6K Β· π) - A PyTorch implementation of EfficientNet and.. Apache-2 BSD-3
+- scikit-rebate (π₯16 Β· β 390 Β· π) - A scikit-learn-compatible Python implementation of.. MIT βUnlicensed
+
diff --git a/history/2023-10-26_projects.csv b/history/2023-10-26_projects.csv
new file mode 100644
index 00000000..08d7253c
--- /dev/null
+++ b/history/2023-10-26_projects.csv
@@ -0,0 +1,917 @@
+,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,helm_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,updated_github_id,brew_id,apt_id,yum_id,conda_dependent_project_count,trending,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 13:21:43.000,2023-10-23 18:26:19.000000,2023-10-23 18:26:19,1535.0,25.0,595.0,107.0,303.0,44.0,128.0,4132.0,Benchmarks of approximate nearest neighbor libraries in Python.,98.0,0,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 13:09:27.000,2023-10-19 17:34:28.000000,2023-10-19 17:34:27,275.0,22.0,151.0,52.0,164.0,1.0,2.0,2042.0,Collection of web-scraping and crawling libraries.,12.0,0,True,2023-10-19 17:34:34.000,2023.10.19,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+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 19:11:32.000,2023-10-26 13:47:04.000000,2023-10-19 17:34:46,293.0,26.0,221.0,86.0,167.0,4.0,4.0,3206.0,Collection of data-loading and -extraction libraries.,12.0,0,True,2023-10-19 17:34:53.000,2023.10.19,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+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 19:11:32.000,2023-10-26 13:47:04.000000,2023-10-19 17:34:46,293.0,26.0,221.0,86.0,167.0,4.0,4.0,3206.0,Collection of database clients for python.,12.0,0,True,2023-10-19 17:34:53.000,2023.10.19,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+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 19:11:32.000,2023-10-26 13:47:04.000000,2023-10-19 17:34:46,293.0,26.0,221.0,86.0,167.0,4.0,4.0,3206.0,"Collection of data-container, dataframe, and pandas-utility libraries.",12.0,0,True,2023-10-19 17:34:53.000,2023.10.19,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+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 19:11:32.000,2023-10-26 13:47:04.000000,2023-10-19 17:34:46,293.0,26.0,221.0,86.0,167.0,4.0,4.0,3206.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",12.0,0,True,2023-10-19 17:34:53.000,2023.10.19,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2023-10-26 14:08:46.000000,2023-10-26 14:08:41,155470.0,3876.0,88876.0,7684.0,23479.0,2109.0,36286.0,180666.0,An Open Source Machine Learning Framework for Everyone.,4481.0,55,True,2023-09-26 22:51:39.000,2.14.0,185.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],329073.0,313809.0,https://pypi.org/project/tensorflow,2023-10-25 23:25:44.000,15264.0,17517433.0,18792603.0,https://anaconda.org/conda-forge/tensorflow,2023-10-23 11:56:40.358,4392527.0,https://hub.docker.com/r/tensorflow/tensorflow,2023-10-26 12:54:52.630948,2228.0,74775672.0,1.0,,,,,,,,,,,,,,,,,,,,
+7,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2023-10-26 14:13:05.000000,2023-10-26 12:53:25,65516.0,3031.0,19241.0,1678.0,74637.0,12517.0,25133.0,71985.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,4426.0,54,True,2023-10-04 17:32:12.000,2.1.0,46.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],344770.0,333831.0,https://pypi.org/project/torch,2023-10-04 16:37:27.000,10939.0,13772364.0,14538286.0,https://anaconda.org/pytorch/pytorch,2023-10-03 19:01:54.763,19140400.0,,,,,1.0,26025.0,,,,,,,,,,,,,,,,,,,
+8,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 09:43:38.000,2023-10-26 13:37:30.000000,2023-10-26 13:15:39,30568.0,358.0,24776.0,2157.0,16283.0,2264.0,8864.0,56239.0,scikit-learn: machine learning in Python.,3002.0,52,True,2023-10-25 08:23:32.000,1.3.2,73.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],653557.0,623675.0,https://pypi.org/project/scikit-learn,2023-10-23 13:46:30.000,29882.0,43531470.0,44145237.0,https://anaconda.org/conda-forge/scikit-learn,2023-10-25 09:40:41.903,25164073.0,,,,,1.0,907.0,,,,,,,,,,,,,,,,,,,
+9,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2023-10-26 14:21:17.000000,2023-10-26 14:15:05,14305.0,742.0,22056.0,1060.0,13611.0,782.0,12456.0,113995.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",2218.0,50,True,2023-10-18 21:15:29.000,4.34.1,122.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",111108.0,108727.0,https://pypi.org/project/transformers,2023-10-18 21:15:07.000,2381.0,18143490.0,18179507.0,https://anaconda.org/conda-forge/transformers,2023-10-19 03:27:36.447,1404546.0,,,,,1.0,143.0,,,,,,,,,,,,,,,,,,,
+10,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000,2023-10-26 13:33:14.000000,2023-10-26 09:26:20,48803.0,819.0,7018.0,593.0,17301.0,1495.0,8679.0,18314.0,matplotlib: plotting with Python.,1595.0,50,True,2023-09-15 04:49:33.000,3.8.0,116.0,matplotlib,conda-forge/matplotlib,,,,1042397.0,980016.0,https://pypi.org/project/matplotlib,2023-09-15 04:49:33.000,62381.0,42011417.0,42537544.0,https://anaconda.org/conda-forge/matplotlib,2023-10-12 18:45:12.490,21045099.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+11,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2023-10-26 13:25:35.000000,2023-10-26 11:46:18,56522.0,1550.0,3997.0,290.0,12725.0,4826.0,8535.0,11469.0,A computer algebra system written in pure Python.,1258.0,48,True,2023-05-10 18:09:23.000,sympy-1.12,50.0,sympy,conda-forge/sympy,,,,93590.0,88869.0,https://pypi.org/project/sympy,2023-05-10 18:24:09.226,4721.0,9745196.0,9800747.0,https://anaconda.org/conda-forge/sympy,2023-06-16 13:17:18.981,4568727.0,,,,,1.0,518703.0,,,,,,,,,,,,,,,,,,,
+12,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2023-10-26 14:27:35.000000,2023-10-26 06:08:56,31036.0,457.0,4859.0,347.0,9972.0,1676.0,8031.0,11841.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1545.0,47,True,2023-09-27 22:44:39.000,1.11.3,97.0,scipy,conda-forge/scipy,,,,64478.0,21.0,https://pypi.org/project/scipy,2023-09-27 21:55:42.000,64457.0,64152684.0,65389836.0,https://anaconda.org/conda-forge/scipy,2023-10-05 05:09:54.567,43164420.0,,,,,1.0,384419.0,,,,,,,,,,,,,,,,,,,
+13,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2023-10-26 11:06:34.000000,2023-10-26 11:06:34,16410.0,346.0,2108.0,225.0,4432.0,101.0,2853.0,11194.0,Python Imaging Library (Fork).,448.0,47,True,2023-10-15 13:05:17.000,10.1.0,95.0,Pillow,conda-forge/pillow,,,,1456558.0,1389760.0,https://pypi.org/project/Pillow,2023-10-15 13:01:25.000,66798.0,70432788.0,71309359.0,https://anaconda.org/conda-forge/pillow,2023-10-16 03:42:18.439,34186287.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+14,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2023-10-26 05:59:42.000000,2023-10-25 17:37:45,9892.0,531.0,19399.0,1919.0,6673.0,376.0,11242.0,59599.0,Deep Learning for humans.,1245.0,46,True,2023-09-12 16:19:40.000,2.14.0,83.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],672.0,21.0,https://pypi.org/project/keras,2023-10-13 19:39:47.000,651.0,12872935.0,12955338.0,https://anaconda.org/conda-forge/keras,2023-07-28 12:24:35.264,3296152.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+15,jax,google/jax,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000,2023-10-26 14:10:37.000000,2023-10-26 13:42:33,18026.0,1174.0,2303.0,316.0,11413.0,1563.0,3351.0,25103.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",589.0,46,True,2023-10-19 20:10:17.000,0.4.19,153.0,jax,conda-forge/jaxlib,,,,19286.0,18572.0,https://pypi.org/project/jax,2023-10-19 20:10:17.000,714.0,3809250.0,3833416.0,https://anaconda.org/conda-forge/jaxlib,2023-10-25 14:41:56.031,966660.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+16,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2023-10-26 14:11:18.000000,2023-10-26 14:11:11,38575.0,1066.0,27668.0,2036.0,43509.0,262.0,,37063.0,Apache Spark Python API.,2965.0,45,True,2023-09-26 20:30:58.000,3.5.0,40.0,pyspark,conda-forge/pyspark,,,['spark'],1161.0,,https://pypi.org/project/pyspark,2023-09-26 20:30:58.000,1161.0,26066681.0,26139223.0,https://anaconda.org/conda-forge/pyspark,2023-10-04 13:44:45.676,2901705.0,,,,,1.0,,stable/spark,,,,,,,,,,,,,,,,,,
+17,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/lightning,https://github.com/Lightning-AI/lightning,Apache-2.0,2019-03-31 00:45:57.000,2023-10-26 13:29:21.000000,2023-10-25 19:03:42,9837.0,352.0,3003.0,242.0,9580.0,701.0,5888.0,24952.0,"Deep learning framework to train, deploy, and ship AI products Lightning fast.",908.0,45,True,2023-10-12 15:35:02.000,2.1.0,260.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],25951.0,25242.0,https://pypi.org/project/pytorch-lightning,2023-10-12 15:35:02.000,709.0,4041002.0,4066116.0,https://anaconda.org/conda-forge/pytorch-lightning,2023-10-12 22:54:18.350,987805.0,,,,,1.0,13411.0,,,,,,,,,,,,,,,,,,,
+18,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2023-10-26 14:15:47.000000,2023-10-26 11:16:48,44370.0,1618.0,5341.0,726.0,40781.0,2014.0,16359.0,20956.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1113.0,45,True,2023-07-27 06:56:01.000,2.5.1,65.0,paddlepaddle,,,,['paddle'],4239.0,4151.0,https://pypi.org/project/paddlepaddle,2023-10-25 08:55:59.000,88.0,176599.0,176777.0,,,,,,,,1.0,15368.0,,,,,,,,,,,,,,,,,,,
+19,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2023-10-26 14:45:01.000000,2023-10-26 11:13:27,19619.0,1248.0,4712.0,464.0,24729.0,3301.0,12604.0,28340.0,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a..,932.0,44,True,2023-10-09 17:47:23.000,ray-2.7.1,92.0,ray,conda-forge/ray-tune,,,,12362.0,11941.0,https://pypi.org/project/ray,2023-10-09 17:21:25.000,421.0,2455743.0,2460750.0,https://anaconda.org/conda-forge/ray-tune,2023-10-17 08:48:26.741,170213.0,,,,,1.0,93.0,,,,,,,,,,,,,,,,,,,
+20,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2023-10-25 13:11:24.000000,2023-10-23 09:59:18,16059.0,80.0,4233.0,562.0,3903.0,93.0,5419.0,27431.0,Industrial-strength Natural Language Processing (NLP) in Python.,742.0,44,True,2023-10-16 16:11:22.000,3.7.2,226.0,spacy,conda-forge/spacy,,,,75188.0,72341.0,https://pypi.org/project/spacy,2023-10-16 16:09:47.000,2847.0,7136714.0,7218265.0,https://anaconda.org/conda-forge/spacy,2023-10-10 09:44:18.186,3262073.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+21,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2023-10-26 13:56:18.000000,2023-10-25 00:48:38,6610.0,150.0,8671.0,914.0,4755.0,377.0,4638.0,24896.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",628.0,44,True,2023-10-24 08:56:42.000,2.0.1,78.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,71665.0,69937.0,https://pypi.org/project/xgboost,2023-10-24 08:35:29.000,1728.0,11555747.0,11667254.0,https://anaconda.org/conda-forge/xgboost,2023-10-24 05:08:56.957,4346280.0,,,,,2.0,7399.0,,,,,,,,,,,,,,,,,,,
+22,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2023-10-26 14:28:54.000000,2023-10-26 08:36:35,4886.0,470.0,3551.0,293.0,6730.0,1244.0,2237.0,15646.0,Open source platform for the machine learning lifecycle.,661.0,44,True,2023-09-17 21:48:08.000,2.7.1,82.0,mlflow,conda-forge/mlflow,,,,25775.0,25288.0,https://pypi.org/project/mlflow,2023-09-17 18:36:26.000,487.0,13521594.0,13561866.0,https://anaconda.org/conda-forge/mlflow,2023-09-21 15:54:18.751,1610898.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+23,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2023-10-25 22:33:48.925000,2023-10-25 20:43:29,6227.0,97.0,2390.0,280.0,1562.0,1408.0,1356.0,14331.0,The interactive graphing library for Python This project now includes Plotly Express!.,246.0,44,True,2023-10-25 19:52:56.000,5.18.0,294.0,plotly,conda-forge/plotly,,,,215776.0,210469.0,https://pypi.org/project/plotly,2023-10-25 19:43:41.000,5301.0,10873059.0,11037178.0,https://anaconda.org/conda-forge/plotly,2023-10-25 22:33:48.925,4973878.0,,,,,1.0,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,6.0,42805.0,,,,,,,,,,,,,
+24,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2023-10-26 14:31:26.000000,2023-10-25 16:51:33,7470.0,124.0,3084.0,277.0,3509.0,388.0,2888.0,13334.0,Network Analysis in Python.,686.0,44,True,2023-10-19 04:10:50.000,networkx-3.2,91.0,networkx,conda-forge/networkx,,,,209035.0,194256.0,https://pypi.org/project/networkx,2023-10-19 04:01:15.000,14779.0,29549530.0,29913400.0,https://anaconda.org/conda-forge/networkx,2023-10-19 07:56:50.787,13827095.0,,,,,1.0,65.0,,,,,,,,,,,,,,,,,,,
+25,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2023-10-26 10:08:44.000000,2023-10-17 10:16:00,15106.0,12.0,2754.0,277.0,3810.0,2653.0,2708.0,8950.0,Statsmodels: statistical modeling and econometrics in Python.,416.0,44,True,2023-05-05 11:36:02.375,0.14.0,35.0,statsmodels,conda-forge/statsmodels,,,,110667.0,105301.0,https://pypi.org/project/statsmodels,2023-05-05 11:36:02.375,5366.0,11336674.0,11629096.0,https://anaconda.org/conda-forge/statsmodels,2023-10-05 23:45:15.777,11696884.0,,,,,2.0,29.0,,,,,,,,,,,,,,,,,,,
+26,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2023-10-26 13:33:53.000000,2023-10-25 09:15:25,20282.0,107.0,4037.0,447.0,5860.0,739.0,6712.0,18228.0,"Interactive Data Visualization in the browser, from Python.",673.0,43,True,,,54.0,bokeh,conda-forge/bokeh,,,,78084.0,78084.0,https://pypi.org/project/bokeh,,,3424486.0,3747835.0,https://anaconda.org/conda-forge/bokeh,2023-10-11 08:08:05.962,12933983.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+27,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2023-10-26 14:33:48.000000,2023-10-26 05:40:16,2568.0,119.0,3599.0,440.0,2994.0,303.0,2264.0,15774.0,Open standard for machine learning interoperability.,298.0,43,True,2023-08-25 21:00:03.000,1.14.1,30.0,onnx,conda-forge/onnx,,,,20461.0,19847.0,https://pypi.org/project/onnx,2023-08-25 20:34:27.000,614.0,4050504.0,4072340.0,https://anaconda.org/conda-forge/onnx,2023-10-11 15:26:47.399,862683.0,,,,,1.0,19401.0,,,,,,,,,,,,,,,,,,,
+28,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2023-10-26 03:00:06.000000,2023-10-25 14:48:42,3363.0,53.0,3771.0,440.0,3004.0,316.0,2845.0,15558.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",290.0,43,True,2023-09-12 02:08:33.000,4.1.0,34.0,lightgbm,conda-forge/lightgbm,,,,27106.0,26300.0,https://pypi.org/project/lightgbm,2023-09-12 02:08:33.000,806.0,6914905.0,6973698.0,https://anaconda.org/conda-forge/lightgbm,2023-10-25 14:14:10.430,2078347.0,,,,,2.0,204538.0,,,,,,,,,,,,,,,,,,,
+29,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2023-10-26 13:36:07.000000,2023-10-25 22:01:30,7896.0,66.0,1645.0,211.0,5493.0,955.0,4040.0,11480.0,Parallel computing with task scheduling.,588.0,43,True,2023-10-14 01:01:42.000,2023.10.0,182.0,dask,conda-forge/dask,,,,56750.0,53728.0,https://pypi.org/project/dask,2023-10-14 01:01:42.000,3022.0,7499940.0,7752337.0,https://anaconda.org/conda-forge/dask,2023-10-14 03:22:25.060,10348300.0,,,,,1.0,,stable/dask,,,,,,,,,,,,,,,,,,
+30,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2023-10-25 17:54:41.000000,2023-10-22 21:29:01,3194.0,39.0,1812.0,255.0,1057.0,115.0,2296.0,11271.0,Statistical data visualization in Python.,200.0,43,True,2023-09-29 19:01:44.000,0.13.0,35.0,seaborn,conda-forge/seaborn,,,,326858.0,315745.0,https://pypi.org/project/seaborn,2023-09-29 18:58:33.000,11113.0,12170364.0,12362587.0,https://anaconda.org/conda-forge/seaborn,2023-10-02 16:03:37.621,7688865.0,,,,,1.0,280.0,,,,,,,,,,,,,,,,,,,
+31,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2023-10-25 23:28:31.000000,2023-10-25 04:39:07,5704.0,98.0,1604.0,193.0,4843.0,640.0,1213.0,6381.0,TensorFlows Visualization Toolkit.,307.0,43,True,2023-10-19 19:32:39.000,2.15.0,55.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],197135.0,194317.0,https://pypi.org/project/tensorboard,2023-10-19 19:32:39.000,2818.0,21005825.0,21115096.0,https://anaconda.org/conda-forge/tensorboard,2023-10-20 00:55:28.414,4370870.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+32,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2023-10-26 11:10:51.000000,2023-10-25 16:17:13,4548.0,67.0,2024.0,1700.0,4384.0,227.0,2547.0,11251.0,WebGL2 powered visualization framework.,239.0,42,True,2023-10-24 16:58:59.931,8.9.32,618.0,pydeck,conda-forge/pydeck,,,['jupyter'],7174.0,6665.0,https://pypi.org/project/pydeck,2023-04-15 06:29:01.705,40.0,1545194.0,2062943.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,454657.0,,,,,1.0,,,deck.gl,https://www.npmjs.com/package/deck.gl,2023-10-24 16:58:59.931,469.0,507416.0,,,,,,,,,,,,,
+33,Altair,altair-viz/altair,data-viz,,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2023-10-25 00:53:35.000000,2023-10-20 08:15:35,3583.0,57.0,761.0,145.0,1283.0,185.0,1707.0,8513.0,Declarative statistical visualization library for Python.,158.0,42,True,2023-10-03 18:18:45.000,5.1.2,38.0,altair,conda-forge/altair,,,,82312.0,81697.0,https://pypi.org/project/altair,2023-10-03 17:40:10.000,615.0,13840784.0,13934638.0,https://anaconda.org/conda-forge/altair,2023-10-03 20:26:07.376,2064779.0,,,,,1.0,89.0,,,,,,,,,,,,,,,,,,,
+34,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2023-10-26 14:07:35.000000,2023-10-20 15:52:31,13763.0,106.0,2214.0,185.0,4298.0,742.0,2011.0,5637.0,Image processing in Python.,632.0,42,False,2023-10-03 21:36:37.000,0.22.0,59.0,scikit-image,conda-forge/scikit-image,,,,167999.0,157746.0,https://pypi.org/project/scikit-image,2023-10-03 21:35:27.000,10253.0,9864992.0,10007908.0,https://anaconda.org/conda-forge/scikit-image,2023-10-11 16:58:18.971,5716641.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+35,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2023-10-26 11:31:09.000000,2023-10-26 01:02:39,1897.0,192.0,3368.0,303.0,2226.0,804.0,1411.0,29008.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",255.0,41,True,2023-10-09 16:56:27.000,0.11.1,73.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],4662.0,4583.0,https://pypi.org/project/deepspeed,2023-10-09 16:56:27.000,79.0,378431.0,378814.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,17238.0,1.0,,,,,,,,,,,,,,,,,,,,
+36,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2023-10-26 06:57:45.000000,2023-10-25 23:48:00,5901.0,259.0,2432.0,306.0,3850.0,662.0,3002.0,28113.0,Streamlit A faster way to build and share data apps.,203.0,41,True,2023-10-03 23:30:45.000,1.27.2,208.0,streamlit,,,,,2123.0,1029.0,https://pypi.org/project/streamlit,2023-10-03 23:30:37.000,1094.0,2420264.0,2420264.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+37,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 05:51:12.000,2023-10-26 11:39:01.000000,2023-10-23 04:36:23,2049.0,123.0,4233.0,304.0,402.0,68.0,742.0,27322.0,"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT),..",118.0,41,True,2023-10-21 20:52:29.000,0.9.8,50.0,timm,conda-forge/timm,,,['pytorch'],17640.0,17640.0,https://pypi.org/project/timm,,,3334516.0,3443616.0,https://anaconda.org/conda-forge/timm,2023-10-21 20:00:32.835,105363.0,,,,,1.0,5639147.0,,,,,,,huggingface/pytorch-image-models,,,,,,,,,,,,
+38,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2023-10-26 14:32:06.371241,2023-10-26 13:36:11,18273.0,671.0,2451.0,348.0,17299.0,674.0,8708.0,23695.0,"A cloud-native vector database, storage for next generation AI applications.",256.0,41,True,2023-10-26 11:02:57.000,2.3.2,100.0,pymilvus,,milvusdb/milvus,,,49.0,,https://pypi.org/project/pymilvus,2023-10-26 09:35:50.000,49.0,460513.0,602767.0,,,,https://hub.docker.com/r/milvusdb/milvus,2023-10-26 14:32:06.371241,37.0,6749408.0,1.0,49629.0,,,,,,,,,,,,,,,,,,,
+39,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2023-10-26 15:04:28.000000,2023-10-26 04:54:01,5807.0,343.0,1583.0,141.0,2728.0,436.0,2558.0,22956.0,"Wrap UIs around any model, share with anyone.",217.0,41,True,2023-10-19 18:29:28.000,3.50.2,519.0,gradio,,,,,15802.0,15629.0,https://pypi.org/project/gradio,2023-10-19 18:29:28.000,173.0,2711276.0,2711276.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+40,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2023-10-25 05:34:04.000000,2023-10-23 13:07:52,2557.0,100.0,3019.0,258.0,750.0,1403.0,930.0,20321.0,A game theoretic approach to explain the output of any machine learning model.,226.0,41,True,2023-10-09 10:28:05.000,0.43.0,99.0,shap,conda-forge/shap,,,,14322.0,13899.0,https://pypi.org/project/shap,2023-10-09 10:28:05.000,423.0,7322675.0,7386465.0,https://anaconda.org/conda-forge/shap,2023-10-09 21:10:21.871,2168864.0,,,,,1.0,,,,,,,,shap/shap,,,,,,,,,,,,
+41,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2023-10-26 13:09:06.000000,2023-10-23 12:18:50,32584.0,208.0,4420.0,349.0,6268.0,122.0,6642.0,17143.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",594.0,41,True,2023-10-23 10:55:37.000,3.6.13,365.0,rasa,,,,['tensorflow'],3793.0,3727.0,https://pypi.org/project/rasa,2023-10-23 10:55:25.000,66.0,119415.0,119415.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+42,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/piskvorky/gensim,https://github.com/piskvorky/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2023-10-01 14:51:01.000000,2023-10-01 14:51:00,4509.0,40.0,4143.0,435.0,1679.0,374.0,1443.0,14726.0,Topic Modelling for Humans.,447.0,41,True,2023-08-24 08:44:46.000,4.3.2,43.0,gensim,conda-forge/gensim,,,,51444.0,51444.0,https://pypi.org/project/gensim,,,3915561.0,3953095.0,https://anaconda.org/conda-forge/gensim,2023-08-24 12:30:21.806,1162115.0,,,,,1.0,4532.0,,,,,,,piskvorky/gensim,,,,,,,,,,,,
+43,triton,openai/triton,model-serialisation,,https://github.com/openai/triton,https://github.com/openai/triton,MIT,2014-08-30 17:07:16.000,2023-10-26 13:43:49.000000,2023-10-26 13:43:49,1422.0,307.0,888.0,163.0,1587.0,341.0,513.0,8559.0,Development repository for the Triton language and compiler.,179.0,41,True,2023-09-01 07:26:13.000,2.1.0,191.0,triton,,,,,9344.0,9275.0,https://pypi.org/project/triton,2023-09-01 07:26:13.000,69.0,6099119.0,6099119.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+44,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2023-10-26 14:24:53.000000,2023-10-25 18:21:19,5891.0,363.0,543.0,54.0,3696.0,756.0,2046.0,7385.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,162.0,41,True,2023-10-04 17:31:06.000,0.15.12,100.0,wandb,conda-forge/wandb,,,,31329.0,31329.0,https://pypi.org/project/wandb,,,7389426.0,7399771.0,https://anaconda.org/conda-forge/wandb,2023-10-04 19:30:33.577,403468.0,,,,,1.0,,,,,,,,wandb/wandb,,,,,,,,,,,,
+45,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2023-10-22 22:49:37.000000,2023-01-30 18:15:21,1757.0,,8561.0,1064.0,1449.0,69.0,1716.0,32935.0,A toolkit for developing and comparing reinforcement learning algorithms.,384.0,40,True,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,49339.0,46665.0,https://pypi.org/project/gym,2022-10-04 23:58:42.348,2674.0,408193.0,414232.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,253661.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+46,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2023-10-26 11:36:25.000000,2023-10-12 07:43:04,2677.0,58.0,8981.0,377.0,3056.0,1011.0,6563.0,25869.0,OpenMMLab Detection Toolbox and Benchmark.,440.0,40,True,2023-10-12 07:46:52.000,3.2.0,52.0,mmdet,,,,['pytorch'],1861.0,1833.0,https://pypi.org/project/mmdet,2023-10-12 07:46:52.000,28.0,150824.0,150824.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+47,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2023-10-26 12:46:25.000000,2023-10-26 02:31:38,2724.0,49.0,7453.0,614.0,2205.0,183.0,1580.0,24708.0,The fastai deep learning library.,662.0,40,True,2023-10-15 04:04:44.000,2.7.13,147.0,fastai,,,,['pytorch'],15379.0,15041.0,https://pypi.org/project/fastai,2023-10-15 04:04:44.000,338.0,357506.0,357506.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+48,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2023-10-26 13:50:00.000000,2023-10-26 13:07:56,7062.0,109.0,1936.0,415.0,999.0,764.0,831.0,19530.0,Data Apps & Dashboards for Python. No JavaScript Required.,141.0,40,True,2023-10-11 15:59:34.000,2.14.0,172.0,dash,conda-forge/dash,,,,54589.0,53170.0,https://pypi.org/project/dash,2023-10-11 15:55:16.000,1419.0,2261470.0,2289752.0,https://anaconda.org/conda-forge/dash,2023-10-12 07:33:38.338,1131317.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+49,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2023-10-26 11:26:15.000000,2023-10-25 23:03:42,8484.0,86.0,2157.0,205.0,4131.0,18.0,1896.0,19254.0,Build multimodal AI applications with cloud-native stack.,177.0,40,True,2023-10-25 12:05:35.000,3.22.3,2434.0,jina,conda-forge/jina-core,jinaai/jina,,,1242.0,1226.0,https://pypi.org/project/jina,2023-10-25 12:04:04.000,16.0,89208.0,120084.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,56685.0,https://hub.docker.com/r/jinaai/jina,2023-10-25 12:20:52.212222,8.0,1258814.0,2.0,,,,,,,,,,,,,,,,,,,,
+50,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2023-09-28 08:36:01.000000,2023-09-28 08:36:01,14447.0,2.0,2671.0,466.0,1429.0,251.0,1487.0,12461.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,444.0,40,True,,,17.0,nltk,conda-forge/nltk,,,,226885.0,226885.0,https://pypi.org/project/nltk,,,12449771.0,12476519.0,https://anaconda.org/conda-forge/nltk,2023-06-16 13:20:53.756,2300356.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+51,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2023-10-17 10:36:07.545000,2023-10-11 23:39:48,8231.0,17.0,2803.0,482.0,678.0,42.0,2113.0,12340.0,A toolkit for making real world machine learning and data analysis applications in C++.,191.0,40,False,2023-05-14 13:10:44.000,19.24.2,26.0,dlib,conda-forge/dlib,,,,22689.0,22689.0,https://pypi.org/project/dlib,,,136979.0,152926.0,https://anaconda.org/conda-forge/dlib,2023-10-17 10:36:07.545,627793.0,,,,,2.0,25327.0,,,,,,,,,,,,,,,,,,,
+52,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2023-10-26 05:48:42.000000,2023-10-26 05:48:41,9038.0,149.0,1078.0,135.0,5219.0,570.0,3925.0,12121.0,Data Version Control | Git for Data & Models | ML Experiments Management.,289.0,40,True,2023-10-18 19:59:54.000,3.27.0,481.0,dvc,conda-forge/dvc,,,,10258.0,10175.0,https://pypi.org/project/dvc,2023-10-18 20:01:24.000,83.0,755812.0,801947.0,https://anaconda.org/conda-forge/dvc,2023-10-24 02:52:28.256,1713759.0,,,,,1.0,39508.0,,,,,,,,dvc,dvc,dvc,,,,,,,,,
+53,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2023-10-26 11:35:12.000000,2023-10-26 05:24:39,9672.0,86.0,1800.0,228.0,3737.0,207.0,2929.0,7842.0,Bayesian Modeling in Python.,469.0,40,True,2023-10-26 09:24:12.000,5.9.1,72.0,pymc3,conda-forge/pymc3,,,,2421.0,2173.0,https://pypi.org/project/pymc3,2022-03-15 10:10:19.000,248.0,482241.0,488708.0,https://anaconda.org/conda-forge/pymc3,2023-06-16 13:23:30.938,541842.0,,,,,1.0,1923.0,,,,,,,,,,,,,,,,,,,
+54,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2023-10-26 13:55:37.000000,2023-10-26 13:55:37,5570.0,159.0,702.0,57.0,4782.0,1419.0,2264.0,1496.0,A distributed task scheduler for Dask.,317.0,40,True,2023-10-14 01:01:40.000,2023.10.0,214.0,distributed,conda-forge/distributed,,,,32287.0,30992.0,https://pypi.org/project/distributed,2023-10-14 01:01:40.000,1295.0,4525128.0,4827917.0,https://anaconda.org/conda-forge/distributed,2023-10-14 02:09:03.172,12414369.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+55,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2023-10-26 08:28:38.000000,2023-10-19 02:45:10,6110.0,61.0,6618.0,418.0,2760.0,898.0,7229.0,33929.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",150.0,39,True,2023-10-18 12:32:48.000,2.7.1,8.0,paddleocr,,,,['paddle'],1903.0,1903.0,https://pypi.org/project/paddleocr,,,83151.0,83151.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+56,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2023-10-26 09:21:30.000000,2023-10-26 02:18:22,3530.0,299.0,2884.0,173.0,4081.0,417.0,2095.0,12346.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",278.0,39,True,2023-08-15 07:31:40.000,1.1.2,448.0,dgl,,,,,232.0,156.0,https://pypi.org/project/dgl,2023-08-30 08:45:26.000,76.0,65679.0,65679.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+57,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2023-10-21 10:44:53.000000,2023-10-04 21:03:24,1076.0,52.0,2001.0,229.0,473.0,172.0,1013.0,10452.0,Download market data from Yahoo! Finances API.,93.0,39,True,2023-10-04 21:06:36.000,0.2.31,102.0,yfinance,ranaroussi/yfinance,,,,28920.0,28647.0,https://pypi.org/project/yfinance,2023-10-04 21:06:36.000,273.0,1079541.0,1082554.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,81375.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+58,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,,2018-02-21 06:12:56.000,2023-10-26 09:29:13.000000,2023-10-26 02:53:20,16678.0,349.0,891.0,123.0,3303.0,115.0,1436.0,8818.0,A hyperparameter optimization framework.,252.0,39,False,2023-10-17 07:05:49.000,3.4.0,61.0,optuna,conda-forge/optuna,,,,10682.0,10258.0,https://pypi.org/project/optuna,2023-10-17 07:05:49.000,424.0,2016207.0,2029953.0,https://anaconda.org/conda-forge/optuna,2023-10-20 10:10:01.680,549849.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+59,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2023-10-26 13:37:49.000000,2023-10-26 13:28:32,46761.0,542.0,1104.0,197.0,369.0,512.0,1626.0,7409.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1180.0,39,True,2023-09-19 20:01:10.000,1.2.2,84.0,catboost,conda-forge/catboost,,,,11.0,11.0,https://pypi.org/project/catboost,,,2064768.0,2107609.0,https://anaconda.org/conda-forge/catboost,2023-09-19 20:23:11.996,1409533.0,,,,,2.0,187580.0,,,,,,,,,,,,,,,,,,,
+60,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2023-10-26 07:22:17.000000,2023-10-26 07:22:16,4009.0,266.0,1158.0,104.0,3131.0,707.0,1291.0,6980.0,A unified framework for machine learning with time series.,302.0,39,True,2023-10-13 20:25:21.000,0.24.0,56.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],1834.0,1779.0,https://pypi.org/project/sktime,2023-10-13 20:25:21.000,55.0,805024.0,838830.0,https://anaconda.org/conda-forge/sktime-all-extras,2023-10-19 09:53:56.410,912748.0,,,,,1.0,84.0,,,,,,,sktime/sktime,,,,,,,,,,,,
+61,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2023-10-26 10:36:17.000000,2023-10-25 10:27:56,1821.0,42.0,872.0,106.0,1462.0,430.0,1146.0,3899.0,Python tools for geographic data.,211.0,39,True,2023-09-15 08:26:19.000,0.14.0,49.0,geopandas,conda-forge/geopandas,,,['pandas'],28763.0,27056.0,https://pypi.org/project/geopandas,2023-09-15 08:26:16.000,1707.0,6228147.0,6309426.0,https://anaconda.org/conda-forge/geopandas,2023-10-11 13:51:09.571,3250181.0,,,,,1.0,2195.0,,,,,,,,,,,,,,,,,,,
+62,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 03:31:13.000,2023-10-26 14:36:32.000000,2023-10-26 14:30:34,17676.0,191.0,1217.0,85.0,7526.0,531.0,4172.0,2373.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,355.0,39,True,2023-09-06 17:49:45.000,1.5.1,75.0,mne,conda-forge/mne,,,,3373.0,3096.0,https://pypi.org/project/mne,2023-09-06 17:48:48.000,277.0,113031.0,121177.0,https://anaconda.org/conda-forge/mne,2023-09-06 18:39:29.631,334011.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+63,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2023-10-26 09:35:50.000000,2023-10-20 14:53:56,900.0,47.0,3089.0,468.0,811.0,363.0,1845.0,25042.0,A library for efficient similarity search and clustering of dense vectors.,140.0,38,True,2023-10-26 09:35:50.000,2.3.2,86.0,pymilvus,conda-forge/faiss,,,,3258.0,3209.0,https://pypi.org/project/pymilvus,2023-10-26 09:35:50.000,49.0,460513.0,483888.0,https://anaconda.org/conda-forge/faiss,2023-06-16 19:19:09.201,958382.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+64,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2023-10-26 13:52:04.000000,2023-10-26 13:29:49,34140.0,347.0,12265.0,944.0,23588.0,1030.0,,22123.0,Apache Flink Python API.,1781.0,38,True,2023-05-25 09:34:01.691,1.17.1,43.0,apache-flink,,,,,44.0,21.0,https://pypi.org/project/apache-flink,2023-10-24 09:07:41.000,23.0,126733.0,126733.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+65,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,,6880.0,1077.0,11124.0,1803.0,7763.0,20617.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",983.0,38,True,2022-10-24 07:38:03.000,1.9.1,983.0,mxnet,mxnet,,,['mxnet'],7106.0,6811.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,290.0,337953.0,338397.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,10334.0,,,,,2.0,26468.0,,,,,,,apache/mxnet,,,,5.0,,,,,,,,
+66,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 16:03:03.000,2023-10-26 08:26:24.000000,2023-10-24 13:01:39,7054.0,206.0,3349.0,255.0,2461.0,832.0,2468.0,18772.0,Graph Neural Network Library for PyTorch.,453.0,38,True,2023-10-12 08:28:59.000,2.4.0,40.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],111.0,,https://pypi.org/project/torch-geometric,2023-10-12 08:27:10.000,111.0,205611.0,206444.0,https://anaconda.org/conda-forge/pytorch_geometric,2023-06-16 19:20:42.736,32491.0,,,,,1.0,,,,,,,,,,,,,3.0,,,,,,,
+67,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2023-10-26 11:34:32.000000,2023-10-23 11:21:05,3717.0,150.0,6611.0,397.0,5050.0,740.0,2260.0,14707.0,"Datasets, Transforms and Models specific to Computer Vision.",556.0,38,True,2023-10-04 17:32:50.000,0.16.0,35.0,torchvision,conda-forge/torchvision,,,['pytorch'],21.0,21.0,https://pypi.org/project/torchvision,,,9153717.0,9183179.0,https://anaconda.org/conda-forge/torchvision,2023-10-02 13:13:36.301,900564.0,,,,,1.0,32212.0,,,,,,,,,,,,-4.0,,,,,,,
+68,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2023-10-26 13:42:54.000000,2023-10-24 16:00:14,5740.0,185.0,2027.0,205.0,1152.0,77.0,2157.0,13179.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,250.0,38,True,2023-03-30 15:49:56.000,0.12.2,30.0,flair,conda-forge/python-flair,,,['pytorch'],2882.0,2795.0,https://pypi.org/project/flair,2022-05-20 04:39:30.000,87.0,88740.0,89287.0,https://anaconda.org/conda-forge/python-flair,2023-07-23 11:04:16.024,21364.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+69,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2023-07-01 12:19:02.000000,2022-12-20 16:49:55,28132.0,,2511.0,545.0,4118.0,685.0,2088.0,9793.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,38,True,2020-07-27 16:13:54.000,1.0.5,45.0,theano,conda-forge/theano,,,,17211.0,14373.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,2838.0,358229.0,385585.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2379973.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+70,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2023-10-25 12:02:59.000000,2023-10-24 21:34:05,2584.0,81.0,873.0,125.0,1673.0,228.0,595.0,8744.0,Computer Vision and Robotics Library for AI.,238.0,38,True,2023-08-02 09:57:58.000,0.7.0,36.0,kornia,conda-forge/kornia,,,['pytorch'],6750.0,6750.0,https://pypi.org/project/kornia,,,2048492.0,2051595.0,https://anaconda.org/conda-forge/kornia,2023-08-04 20:43:55.693,105057.0,,,,,1.0,849.0,,,,,,,,,,,,,,,,,,,
+71,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2023-10-26 13:37:41.000000,2023-10-25 06:14:32,1739.0,56.0,628.0,119.0,531.0,260.0,579.0,7724.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,80.0,38,True,2023-10-06 11:10:29.000,0.14.1,80.0,tokenizers,conda-forge/tokenizers,,,,46047.0,46047.0,https://pypi.org/project/tokenizers,,,14616338.0,14650562.0,https://anaconda.org/conda-forge/tokenizers,2023-10-16 16:09:23.075,1334771.0,,,,,1.0,33.0,,,,,,,,,,,,,,,,,,,
+72,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2023-10-26 15:14:44.000000,2023-10-23 12:40:43,9578.0,485.0,1134.0,123.0,1010.0,92.0,859.0,6734.0,A PyTorch-based Speech Toolkit.,223.0,38,True,2023-07-22 18:07:47.000,0.5.15,9.0,speechbrain,,,,['pytorch'],1038.0,1038.0,https://pypi.org/project/speechbrain,,,217182.0,217182.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+73,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2023-10-26 13:10:18.000000,2023-10-26 13:02:19,1747.0,25.0,2195.0,170.0,780.0,62.0,973.0,6441.0,Python Data. Leaflet.js Maps.,155.0,38,True,2022-12-12 20:39:34.303,0.14.0,28.0,folium,conda-forge/folium,,,,30804.0,30011.0,https://pypi.org/project/folium,2022-12-12 20:39:34.303,793.0,695910.0,722398.0,https://anaconda.org/conda-forge/folium,2023-06-16 13:15:52.865,2410463.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+74,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2023-10-26 12:35:21.000000,2023-10-24 20:05:23,1126.0,116.0,641.0,92.0,1046.0,105.0,934.0,5908.0,"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.",186.0,38,True,2023-10-24 17:37:09.000,0.24.0,36.0,accelerate,conda-forge/accelerate,,,['pytorch'],16853.0,16468.0,https://pypi.org/project/accelerate,2023-10-24 17:08:56.000,385.0,6944145.0,6947424.0,https://anaconda.org/conda-forge/accelerate,2023-09-15 15:58:36.098,78709.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+75,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2023-10-25 15:21:39.000000,2023-10-25 12:36:55,6043.0,79.0,1412.0,112.0,4008.0,393.0,695.0,4031.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",296.0,38,True,2023-09-08 09:07:53.000,4.9.3,31.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],14795.0,14795.0,https://pypi.org/project/tensorflow-datasets,,,1955918.0,1956754.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,24259.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+76,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2023-10-24 11:13:00.000000,2023-10-24 10:58:33,2224.0,22.0,543.0,90.0,761.0,229.0,889.0,3468.0,Manipulation and analysis of geometric objects.,149.0,38,True,2023-10-12 20:37:19.000,2.0.2,121.0,shapely,conda-forge/shapely,,,,55568.0,54495.0,https://pypi.org/project/shapely,2023-10-12 20:37:19.000,1073.0,15848665.0,16073687.0,https://anaconda.org/conda-forge/shapely,2023-10-13 10:53:16.010,8546668.0,,,,,1.0,2660.0,,,,,,,,,,,,,,,,,,,
+77,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 01:03:33.000,2023-10-26 12:56:09.000000,2023-10-26 03:34:44,3343.0,156.0,1042.0,135.0,2707.0,489.0,905.0,1946.0,A library for training and deploying machine learning models on Amazon SageMaker.,405.0,38,True,2023-10-26 03:34:52.000,2.195.1,550.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",3234.0,3147.0,https://pypi.org/project/sagemaker,2023-10-26 03:34:52.000,87.0,30981310.0,30999415.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2023-10-26 06:53:01.256,688027.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+78,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2023-10-23 02:15:54.000000,2023-10-23 02:15:45,1509.0,15.0,267.0,32.0,471.0,96.0,481.0,1325.0,Python library for reading and writing image data.,108.0,38,True,2023-10-23 02:15:58.000,2.31.6,86.0,imageio,conda-forge/imageio,,,,107794.0,104759.0,https://pypi.org/project/imageio,2023-10-23 02:15:54.000,3035.0,17744324.0,17893121.0,https://anaconda.org/conda-forge/imageio,2023-10-09 12:27:51.214,5802552.0,,,,,1.0,874.0,,,,,,,,,,,,,,,,,,,
+79,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2023-10-01 11:57:13.000000,2023-09-10 02:01:49,2281.0,24.0,4744.0,487.0,149.0,968.0,1337.0,18638.0,State-of-the-art 2D and 3D Face Analysis Project.,57.0,37,True,2023-04-02 08:03:01.222,0.7.3,28.0,insightface,,,,['mxnet'],1112.0,1101.0,https://pypi.org/project/insightface,2022-12-17 02:14:00.699,11.0,434991.0,570311.0,,,,,,,,2.0,811925.0,,,,,,,,,,,,4.0,,,,,,,
+80,ivy,unifyai/ivy,ml-frameworks,,https://github.com/unifyai/ivy,https://github.com/unifyai/ivy,Apache-2.0,2021-01-19 08:37:25.000,2023-10-26 15:08:35.000000,2023-10-26 15:08:31,16912.0,1706.0,6000.0,70.0,10980.0,3548.0,13062.0,13734.0,The Unified AI Framework.,1428.0,37,True,2023-06-29 19:33:01.167,0.0.0,103.0,ivy,,,,,9.0,,https://pypi.org/project/ivy,2023-10-11 17:04:40.000,9.0,1290.0,1290.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+81,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2023-10-26 14:59:08.000000,2023-10-26 14:25:23,2721.0,306.0,1440.0,116.0,2875.0,497.0,2185.0,11302.0,"LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",208.0,37,True,2023-10-06 08:02:46.000,1.21.2,66.0,haystack,,,,,1066.0,979.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000,87.0,2336.0,2336.0,,,,,,,,1.0,23.0,,,,,,,,,,,,,,,,,,,
+82,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2023-10-24 12:00:56.000000,2023-10-24 11:13:05,1353.0,41.0,1531.0,150.0,726.0,184.0,546.0,11291.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,115.0,37,True,2023-10-24 11:33:51.000,4.6.1,52.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",1613.0,1613.0,https://pypi.org/project/pandas-profiling,,,702383.0,707097.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,405480.0,,,,,2.0,,,,,,,,ydataai/ydata-profiling,,,,,,,,,,,,
+83,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2023-10-07 03:22:11.000000,2023-07-11 16:23:35,1095.0,,1447.0,250.0,650.0,383.0,1018.0,11023.0,Video editing with Python.,160.0,37,True,2020-05-07 16:29:35.000,1.0.3,85.0,moviepy,conda-forge/moviepy,,,,30906.0,29966.0,https://pypi.org/project/moviepy,2021-12-15 14:41:26.454,940.0,685817.0,688659.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,213217.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+84,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2023-10-24 15:12:45.000000,2023-10-09 19:51:54,4971.0,65.0,1680.0,127.0,950.0,310.0,1877.0,7842.0,"An open-source, low-code machine learning library in Python.",126.0,37,True,2023-09-11 02:32:00.000,3.1.0,94.0,pycaret,conda-forge/pycaret,,,,4574.0,4560.0,https://pypi.org/project/pycaret,2023-09-11 02:31:52.000,14.0,266063.0,267124.0,https://anaconda.org/conda-forge/pycaret,2023-10-16 20:18:24.255,39674.0,,,,,2.0,668.0,,,,,,,,,,,,,,,,,,,
+85,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2023-10-26 14:54:29.000000,2023-10-25 22:24:18,19763.0,496.0,2010.0,179.0,3127.0,231.0,2029.0,7252.0,End-to-End Speech Processing Toolkit.,392.0,37,True,2023-10-25 11:52:03.000,.202310,51.0,espnet,,,,,258.0,253.0,https://pypi.org/project/espnet,2023-10-25 11:52:34.000,5.0,23643.0,23644.0,,,,,,,,1.0,79.0,,,,,,,,,,,,,,,,,,,
+86,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2023-10-26 06:15:50.000000,2023-10-26 02:56:31,3898.0,182.0,536.0,81.0,2020.0,174.0,653.0,4823.0,Flax is a neural network library for JAX that is designed for flexibility.,206.0,37,True,2023-09-13 18:38:38.000,0.7.4,39.0,flax,conda-forge/flax,,,['jax'],4895.0,4722.0,https://pypi.org/project/flax,2023-09-13 18:38:38.000,173.0,2149827.0,2150986.0,https://anaconda.org/conda-forge/flax,2023-06-16 19:25:28.189,35906.0,,,,,2.0,50.0,,,,,,,,,,,,,,,,,,,
+87,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2023-10-25 21:54:16.000000,2023-10-25 21:54:13,11984.0,54.0,1079.0,170.0,454.0,647.0,733.0,3987.0,Probabilistic reasoning and statistical analysis in TensorFlow.,483.0,37,True,2023-10-23 16:42:22.000,0.22.1,50.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],434.0,,https://pypi.org/project/tensorflow-probability,2023-10-23 16:42:22.000,434.0,1304847.0,1308454.0,https://anaconda.org/conda-forge/tensorflow-probability,2023-10-23 21:42:11.123,115439.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+88,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2023-10-23 20:09:15.000000,2023-10-23 20:09:08,3785.0,16.0,518.0,147.0,1104.0,161.0,1586.0,2037.0,Rasterio reads and writes geospatial raster datasets.,150.0,37,True,2023-10-19 14:09:18.000,1.3.9,153.0,rasterio,conda-forge/rasterio,,,,10130.0,9123.0,https://pypi.org/project/rasterio,2023-10-19 14:04:39.000,1007.0,1952882.0,2033647.0,https://anaconda.org/conda-forge/rasterio,2023-10-19 11:41:01.295,2665006.0,,,,,2.0,853.0,,,,,,,,,,,,,,,,,,,
+89,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2023-06-16 13:21:35.778000,2020-02-15 08:33:35,523.0,,6699.0,1288.0,164.0,662.0,219.0,31417.0,Chinese Words Segmentation Utilities.,49.0,36,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,26299.0,24634.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,1665.0,682119.0,683998.0,https://anaconda.org/conda-forge/jieba,2023-06-16 13:21:35.778,146610.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+90,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2023-10-25 16:06:34.000000,2023-10-10 17:36:53,2318.0,6.0,6053.0,416.0,1313.0,1100.0,3024.0,27807.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,420.0,36,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],2273.0,2209.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,64.0,440129.0,441485.0,https://anaconda.org/conda-forge/fairseq,2023-06-16 19:21:01.221,52724.0,,,,,1.0,320.0,,,,,,,,,,,,,,,,,,,
+91,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2023-10-09 22:45:14.000000,2023-09-04 11:42:16,615.0,10.0,2689.0,300.0,235.0,295.0,581.0,19871.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",128.0,36,True,2023-09-04 11:53:04.000,1.7.1,22.0,easyocr,,,,,4059.0,4059.0,https://pypi.org/project/easyocr,,,194581.0,367786.0,,,,,,,,1.0,6928225.0,,,,,,,,,,,,,,,,,,,
+92,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2023-10-21 15:26:52.000000,2023-10-18 07:33:05,791.0,16.0,4436.0,426.0,433.0,379.0,1719.0,17071.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,173.0,36,True,2023-10-10 12:57:04.000,1.1.5,16.0,fbprophet,conda-forge/prophet,,,,148.0,21.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,127.0,874393.0,911381.0,https://anaconda.org/conda-forge/prophet,2023-10-20 01:36:39.935,1108865.0,,,,,1.0,2101.0,,,,,,,,,,,,,,,,,,,
+93,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2023-09-28 07:15:20.000000,2023-08-21 03:59:26,1627.0,8.0,2770.0,381.0,455.0,8.0,1784.0,13954.0,Python Echarts Plotting Library.,39.0,36,True,2023-08-21 08:24:32.000,2.0.4,3.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],3536.0,3536.0,https://pypi.org/project/pyecharts,,,119678.0,119678.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+94,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2023-10-24 11:52:46.000000,2023-09-18 08:44:36,1331.0,6.0,2216.0,333.0,1570.0,364.0,1846.0,13618.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",172.0,36,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,1061.0,1025.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,36.0,51605.0,51605.0,,,,,,,,2.0,,stable/horovod,,,,,,,,,,,,,,,,,,
+95,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2023-10-24 12:57:59.000000,2023-09-20 06:17:29,1209.0,9.0,2114.0,125.0,264.0,1029.0,797.0,12198.0,Multilingual Sentence & Image Embeddings with BERT.,115.0,36,True,2022-06-26 19:52:06.000,2.2.2,43.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],17889.0,17466.0,https://pypi.org/project/sentence-transformers,2022-06-26 19:50:11.000,423.0,3058925.0,3063618.0,https://anaconda.org/conda-forge/sentence-transformers,2023-06-16 19:21:44.846,173676.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+96,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2023-10-26 14:18:48.000000,2023-10-25 20:17:27,5917.0,262.0,1861.0,171.0,5431.0,86.0,1766.0,8275.0,NeMo: a toolkit for conversational AI.,256.0,36,True,2023-10-25 23:27:38.000,1.21.0,70.0,nemo-toolkit,,,,['pytorch'],31.0,21.0,https://pypi.org/project/nemo-toolkit,2023-10-25 21:35:40.000,10.0,39183.0,40945.0,,,,,,,,1.0,86385.0,,,,,,,,,,,,,,,,,,,
+97,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2023-10-24 19:44:36.000000,2023-10-24 19:19:55,2420.0,17.0,971.0,204.0,2244.0,241.0,823.0,8170.0,Deep universal probabilistic programming with Python and PyTorch.,144.0,36,True,2023-07-29 21:20:27.000,1.8.6,34.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],1750.0,1658.0,https://pypi.org/project/pyro-ppl,2023-07-29 21:09:56.000,92.0,455975.0,459894.0,https://anaconda.org/conda-forge/pyro-ppl,2023-07-29 23:12:47.995,121506.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+98,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,sklearn-utils,,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000,2023-10-23 10:43:57.000000,2023-10-23 10:43:57,848.0,5.0,1247.0,141.0,487.0,35.0,534.0,6534.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,80.0,36,True,2023-07-08 22:17:53.000,0.11.0,33.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],21391.0,21058.0,https://pypi.org/project/imbalanced-learn,2023-07-08 21:51:38.887,333.0,5661270.0,5673606.0,https://anaconda.org/conda-forge/imbalanced-learn,2023-07-08 22:18:55.284,493452.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+99,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2023-10-26 14:31:11.000000,2023-10-25 21:48:54,2888.0,118.0,880.0,94.0,3123.0,322.0,2437.0,4758.0,AI Toolkit for Healthcare Imaging.,173.0,36,True,2023-10-12 17:37:33.000,1.3.0,77.0,monai,conda-forge/monai,,,['pytorch'],1469.0,1425.0,https://pypi.org/project/monai,2023-10-12 17:09:21.000,44.0,99632.0,100488.0,https://anaconda.org/conda-forge/monai,2023-10-12 17:35:33.024,18852.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+100,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2023-10-26 14:45:15.000000,2023-10-25 16:40:31,9492.0,351.0,1502.0,147.0,2005.0,466.0,1207.0,4670.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",228.0,36,True,2022-12-01 14:00:47.111,2.7.1,713.0,deepchem,conda-forge/deepchem,,,['tensorflow'],282.0,271.0,https://pypi.org/project/deepchem,2023-10-25 18:52:38.000,11.0,17779.0,20133.0,https://anaconda.org/conda-forge/deepchem,2023-06-16 19:18:02.015,103609.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+101,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2023-10-26 00:14:13.000000,2023-10-19 08:47:27,1641.0,45.0,601.0,60.0,1782.0,154.0,1180.0,4357.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,307.0,36,True,2023-10-19 08:24:46.000,0.4.13,1424.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],2505.0,2462.0,https://pypi.org/project/pytorch-ignite,2023-10-26 00:14:13.000,43.0,152635.0,155171.0,https://anaconda.org/pytorch/ignite,2023-10-19 08:25:55.130,162365.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+102,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2023-08-27 20:08:56.023000,2023-08-27 17:01:46,1130.0,22.0,627.0,90.0,265.0,31.0,251.0,4109.0,Geocoding library for Python.,133.0,36,True,2023-08-27 18:59:34.000,2.4.0,60.0,geopy,conda-forge/geopy,,,,4026.0,,https://pypi.org/project/geopy,2023-08-27 18:57:29.000,4026.0,4168287.0,4198339.0,https://anaconda.org/conda-forge/geopy,2023-08-27 20:08:56.023,1202087.0,,,,,2.0,2.0,,,,,,,,,,,,6.0,,,,,,,
+103,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2023-10-26 14:36:46.000000,2023-10-26 09:01:57,8350.0,72.0,666.0,98.0,13045.0,39.0,791.0,3472.0,State of the Art Natural Language Processing.,108.0,36,True,2023-10-10 20:26:17.000,5.1.3,132.0,spark-nlp,,,,['spark'],378.0,349.0,https://pypi.org/project/spark-nlp,2023-10-10 16:20:01.000,29.0,3833110.0,3833110.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+104,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2023-10-25 18:07:18.000000,2023-10-23 20:57:30,7307.0,44.0,606.0,117.0,1142.0,323.0,1099.0,3134.0,High-performance interactive 2D/3D data visualization library.,189.0,36,True,2023-10-03 22:23:12.000,0.14.1,37.0,vispy,conda-forge/vispy,,,['jupyter'],1425.0,1291.0,https://pypi.org/project/vispy,2023-10-03 22:13:28.000,133.0,74752.0,86584.0,https://anaconda.org/conda-forge/vispy,2023-10-04 03:59:45.400,436776.0,,,,,2.0,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,1.0,28.0,,,,,,,,,,,,,
+105,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2023-09-25 06:51:17.362000,2023-09-22 08:02:58,5262.0,16.0,281.0,83.0,764.0,19.0,123.0,2764.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",63.0,36,True,2023-09-22 09:35:25.000,8.2.1,229.0,thinc,conda-forge/thinc,,,,38878.0,38242.0,https://pypi.org/project/thinc,2023-09-22 09:19:43.000,636.0,6169974.0,6234513.0,https://anaconda.org/conda-forge/thinc,2023-09-25 06:51:17.362,2646124.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+106,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2023-10-25 18:51:43.000000,2023-10-25 18:51:43,1209.0,10.0,199.0,33.0,45.0,9.0,157.0,1480.0,Simple Python interface for Graphviz.,21.0,36,True,2022-07-23 11:35:06.076,0.20.1,56.0,graphviz,anaconda/python-graphviz,,,,58311.0,54919.0,https://pypi.org/project/graphviz,2022-07-23 11:35:06.076,3392.0,7625984.0,7626513.0,https://anaconda.org/anaconda/python-graphviz,2023-06-16 13:23:51.228,41263.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+107,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2023-10-23 11:45:49.411000,2023-09-21 02:33:47,1524.0,19.0,206.0,32.0,665.0,25.0,560.0,933.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,64.0,36,True,2023-09-21 02:07:12.000,3.6.1,61.0,pyproj,conda-forge/pyproj,,,,26239.0,24256.0,https://pypi.org/project/pyproj,2023-09-21 02:07:12.000,1983.0,8131622.0,8307301.0,https://anaconda.org/conda-forge/pyproj,2023-10-23 11:45:49.411,6851490.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+108,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2023-07-26 09:00:34.000000,2020-06-01 14:58:26,2913.0,,2395.0,232.0,336.0,294.0,223.0,13830.0,Image augmentation for machine learning experiments.,36.0,35,False,2020-02-06 06:18:40.000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,17223.0,16820.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,403.0,318127.0,320900.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,144224.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+109,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2023-10-06 03:06:58.000000,2021-06-01 10:43:00,1848.0,,4325.0,550.0,710.0,372.0,1266.0,13634.0,"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,,,,,5736.0,5383.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,353.0,34991.0,34991.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+110,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2023-10-25 20:57:41.000000,2023-09-30 06:07:49,781.0,2.0,1525.0,129.0,658.0,372.0,428.0,12708.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,129.0,35,True,2023-06-10 07:46:02.827,1.3.1,53.0,albumentations,conda-forge/albumentations,,,['pytorch'],18577.0,18279.0,https://pypi.org/project/albumentations,2023-06-10 07:46:02.827,298.0,1043232.0,1045945.0,https://anaconda.org/conda-forge/albumentations,2023-06-12 13:29:26.010,141102.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+111,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2023-09-25 04:57:08.085000,2023-08-20 17:38:53,890.0,5.0,1110.0,320.0,266.0,54.0,341.0,12063.0,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,,,,3500.0,3233.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,267.0,1090265.0,1100228.0,https://anaconda.org/conda-forge/python-annoy,2023-09-25 04:57:08.085,368664.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+112,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2023-06-16 16:12:37.768000,2022-11-22 00:42:46,2719.0,,2260.0,284.0,3096.0,91.0,2477.0,11591.0,"An open-source NLP research library, built on PyTorch.",265.0,35,True,2022-10-18 23:54:05.191,2.10.1,265.0,allennlp,conda-forge/allennlp,,,['pytorch'],3971.0,3783.0,https://pypi.org/project/allennlp,2022-10-18 23:54:05.191,188.0,45756.0,47769.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,116759.0,,,,,2.0,61.0,,,,,,,,,,,,,,,,,,,
+113,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2023-10-24 22:17:17.000000,2023-06-01 18:12:56,4638.0,,4634.0,394.0,652.0,628.0,1238.0,11303.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",188.0,35,False,2023-06-30 18:36:01.101,2.6.2,54.0,glfw,conda-forge/glfw,,,,211.0,22.0,https://pypi.org/project/glfw,2023-06-30 18:36:01.101,189.0,195140.0,231461.0,https://anaconda.org/conda-forge/glfw,2023-06-16 16:13:39.833,162716.0,,,,,2.0,3441849.0,,,,,,,,,,,,,,,,,,,
+114,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-10-19 19:01:44.000000,2023-10-19 19:01:42,4357.0,14.0,2060.0,288.0,3401.0,54.0,1494.0,10326.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,215.0,35,True,2023-06-06 20:46:16.091,1.7.2,25.0,parlai,,,,['pytorch'],223.0,218.0,https://pypi.org/project/parlai,2022-09-20 02:56:01.305,5.0,1903.0,1903.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+115,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2023-10-26 13:17:06.000000,2023-10-26 13:17:05,24679.0,1232.0,1936.0,202.0,4751.0,167.0,3304.0,8976.0,Perform data science on data that remains in someone elses server.,502.0,35,True,2023-08-30 03:17:27.000,syftcli-v0.1.7,199.0,syft,,,,['pytorch'],5.0,,https://pypi.org/project/syft,2023-10-22 13:07:05.000,5.0,5595.0,5600.0,,,,,,,,1.0,234.0,,,,,,,,,,,,,,,,,,,
+116,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2023-06-16 13:22:54.304000,2023-03-11 18:17:15,563.0,,1123.0,268.0,156.0,101.0,155.0,8730.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",36.0,35,True,2021-10-22 03:18:24.000,0.17.1,59.0,textblob,conda-forge/textblob,,,,34825.0,33399.0,https://pypi.org/project/textblob,2021-10-22 03:18:24.000,1426.0,602764.0,605525.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,237446.0,,,,,2.0,113.0,,,,,,,,,,,,,,,,,,,
+117,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2023-10-24 13:40:27.000000,2023-10-13 00:00:27,2469.0,72.0,592.0,103.0,433.0,544.0,1157.0,8401.0,An open source multi-tool for exploring and publishing data.,75.0,35,True,2023-10-08 16:10:00.000,0.64.5,140.0,datasette,conda-forge/datasette,,,,1297.0,1094.0,https://pypi.org/project/datasette,2023-10-08 16:10:00.000,203.0,37255.0,38144.0,https://anaconda.org/conda-forge/datasette,2023-09-27 17:06:18.945,26640.0,,,,,1.0,58.0,,,,,,,,datasette,,,,,,,,,,,
+118,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2023-10-23 09:24:33.000000,2023-08-05 09:01:02,884.0,1.0,1037.0,125.0,258.0,33.0,632.0,8379.0,Unsupervised text tokenizer for Neural Network-based text generation.,78.0,35,True,2023-05-02 04:26:07.683,0.1.99,34.0,sentencepiece,conda-forge/sentencepiece,,,,45145.0,44338.0,https://pypi.org/project/sentencepiece,2023-05-02 04:26:07.683,807.0,9748851.0,9765993.0,https://anaconda.org/conda-forge/sentencepiece,2023-10-08 19:16:11.059,649021.0,,,,,2.0,31087.0,,,,,,,,,,,,,,,,,,,
+119,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 19:36:58.000,2023-10-22 02:12:50.000000,2023-10-17 20:31:26,10395.0,9.0,1963.0,349.0,3397.0,130.0,1130.0,8301.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,332.0,35,True,2023-07-19 17:15:55.000,9.9.0,29.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,34.0,,https://pypi.org/project/vowpalwabbit,2023-07-19 17:15:55.000,34.0,119881.0,123604.0,https://anaconda.org/conda-forge/vowpalwabbit,2023-10-08 10:19:04.401,134032.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+120,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2023-10-11 23:12:45.000000,2023-10-11 23:12:41,657.0,30.0,314.0,67.0,102.0,30.0,124.0,7335.0,"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).",24.0,35,True,2023-10-01 01:13:46.000,0.7.0,14.0,einops,conda-forge/einops,,,,19835.0,19160.0,https://pypi.org/project/einops,2023-10-01 01:13:46.000,675.0,4495525.0,4499945.0,https://anaconda.org/conda-forge/einops,2023-10-01 10:01:09.036,159130.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+121,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2023-10-26 06:14:47.000000,2023-10-06 05:01:16,4079.0,199.0,886.0,146.0,454.0,77.0,748.0,6824.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",64.0,35,True,2023-10-06 05:16:12.000,1.6.1,21.0,stanza,stanfordnlp/stanza,,,,2265.0,2174.0,https://pypi.org/project/stanza,2023-10-06 05:09:50.000,91.0,135690.0,135857.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,7203.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+122,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2023-10-08 00:33:05.000000,2023-08-02 10:57:30,1413.0,7.0,872.0,214.0,220.0,174.0,232.0,6511.0,Efficiently computes derivatives of numpy code.,55.0,35,True,2023-06-23 08:37:07.368,1.6.2,29.0,autograd,conda-forge/autograd,,,,6725.0,6406.0,https://pypi.org/project/autograd,2023-06-23 08:37:07.368,319.0,1270030.0,1292627.0,https://anaconda.org/conda-forge/autograd,2023-06-26 15:21:38.267,361563.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+123,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 16:08:07.000,2023-10-26 14:53:53.000000,2023-10-26 04:33:21,32202.0,168.0,1991.0,388.0,6675.0,2708.0,6469.0,6510.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",247.0,35,True,,,148.0,h2o,,,,,102.0,21.0,https://pypi.org/project/h2o,2023-10-16 12:45:34.000,81.0,367178.0,367178.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+124,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2023-10-26 07:31:12.000000,2023-10-25 23:27:44,2671.0,105.0,651.0,73.0,3094.0,181.0,767.0,5827.0,Build Production-Grade AI Applications.,181.0,35,True,2023-10-12 18:24:57.000,1.1.7,116.0,bentoml,,,,,1343.0,1332.0,https://pypi.org/project/bentoml,2023-10-12 18:23:03.000,11.0,65329.0,65368.0,,,,,,,,2.0,2115.0,,,,,,,,,,,,,,,,,,,
+125,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000,2023-10-26 13:57:12.000000,2023-10-26 11:08:57,20633.0,432.0,1123.0,238.0,7357.0,799.0,1286.0,4466.0,Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations using bigdl-llm.,186.0,35,True,2023-04-24 02:17:43.000,2.3.0,698.0,bigdl,,,,,50.0,45.0,https://pypi.org/project/bigdl,2023-10-26 13:57:12.000,1.0,6629.0,6629.0,,,,,,,,2.0,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,4.0,,,
+126,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2023-10-23 21:57:14.000000,2023-10-23 21:57:13,1286.0,14.0,2431.0,1987.0,528.0,374.0,1073.0,3804.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,35,True,2023-08-23 02:38:47.000,1.53.0,100.0,azureml-sdk,,,,,48.0,,https://pypi.org/project/azureml-sdk,2023-08-23 02:38:47.000,48.0,1541068.0,1541076.0,,,,,,,,2.0,503.0,,,,,,,,,,,,,,,,,,,
+127,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2023-10-26 07:12:03.000000,2023-10-25 20:45:18,3566.0,110.0,764.0,56.0,1303.0,311.0,1122.0,3721.0,"Serve, optimize and scale PyTorch models in production.",176.0,35,True,2023-10-13 00:21:43.000,0.9.0,22.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],538.0,525.0,https://pypi.org/project/torchserve,2023-10-12 22:01:55.000,13.0,39823.0,67959.0,https://anaconda.org/pytorch/torchserve,2023-10-12 22:01:52.717,122928.0,https://hub.docker.com/r/pytorch/torchserve,2023-10-12 22:44:52.307587,21.0,1204010.0,2.0,5334.0,,,,,,,,,,,,,,,,,,,
+128,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2023-09-06 07:55:12.000000,2023-08-08 07:57:53,1994.0,11.0,196.0,67.0,128.0,71.0,508.0,3595.0,A Grammar of Graphics for Python.,103.0,35,True,2023-09-01 18:57:17.000,0.12.3,16.0,plotnine,conda-forge/plotnine,,,,6022.0,6022.0,https://pypi.org/project/plotnine,,,1450697.0,1458675.0,https://anaconda.org/conda-forge/plotnine,2023-09-01 19:46:10.034,319129.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+129,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2023-10-26 09:49:55.000000,2023-10-25 12:04:03,10638.0,72.0,377.0,60.0,2844.0,1019.0,2093.0,2505.0,"With Holoviews, your data visualizes itself.",137.0,35,True,2023-10-23 07:26:53.000,1.18.0,147.0,holoviews,conda-forge/holoviews,,,['jupyter'],259.0,,https://pypi.org/project/holoviews,2023-10-18 17:46:43.000,257.0,319724.0,356463.0,https://anaconda.org/conda-forge/holoviews,2023-10-19 08:44:00.987,1426421.0,,,,,2.0,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2023-08-16 17:21:06.628,2.0,1079.0,,,,,,4.0,,,,,,,
+130,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2023-10-26 14:44:08.000000,2023-10-26 14:44:06,2280.0,105.0,599.0,76.0,2818.0,193.0,703.0,2237.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",220.0,35,True,2023-10-04 17:30:04.000,2.1.0,28.0,torchaudio,,,,['pytorch'],437.0,,https://pypi.org/project/torchaudio,2023-10-04 17:03:43.000,437.0,1695229.0,1695229.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+131,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2023-10-26 13:16:59.000000,2023-10-26 13:16:55,4865.0,89.0,463.0,21.0,1085.0,852.0,567.0,1957.0,"This is the development home of the workflow management system Snakemake. For general information, see.",309.0,35,True,2023-09-18 14:47:18.000,7.32.4,284.0,snakemake,bioconda/snakemake,,,,1957.0,1704.0,https://pypi.org/project/snakemake,2023-09-18 14:47:18.000,253.0,126072.0,135376.0,https://anaconda.org/bioconda/snakemake,2023-10-17 09:53:13.042,893260.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+132,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2023-10-25 18:07:23.000000,2023-10-24 01:31:56,1544.0,168.0,329.0,27.0,1275.0,55.0,660.0,1687.0,"Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.",215.0,35,True,2023-09-22 13:17:42.000,1.2.0,39.0,metrics,conda-forge/torchmetrics,,,['pytorch'],16270.0,16270.0,https://pypi.org/project/metrics,,,5775.0,42485.0,https://anaconda.org/conda-forge/torchmetrics,2023-09-25 21:19:09.764,1133962.0,,,,,2.0,4086.0,,,,,,,Lightning-AI/torchmetrics,,,,,,,,,,,,
+133,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2023-10-20 22:47:44.000000,2023-10-19 17:10:39,1515.0,5.0,590.0,57.0,1877.0,251.0,893.0,1668.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,205.0,35,True,2023-10-17 04:25:20.000,0.22.0,37.0,tensorflow-addons,,,,['tensorflow'],13520.0,13301.0,https://pypi.org/project/tensorflow-addons,2023-10-17 05:46:45.000,219.0,854734.0,854734.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+134,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2023-10-13 18:10:46.000000,2023-10-13 10:11:49,1509.0,3.0,348.0,48.0,1452.0,167.0,661.0,1454.0,Exploratory analysis of Bayesian models with Python.,149.0,35,True,2023-07-18 20:14:08.000,0.16.1,34.0,arviz,conda-forge/arviz,,,,5149.0,5010.0,https://pypi.org/project/arviz,2023-07-18 20:14:08.000,139.0,1479324.0,1528902.0,https://anaconda.org/conda-forge/arviz,2023-09-19 13:51:11.324,2032655.0,,,,,1.0,133.0,,,,,,,,,,,,,,,,,,,
+135,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 10:20:28.000,2023-10-26 13:18:44.000000,2023-10-26 12:34:40,1142.0,122.0,304.0,60.0,1059.0,104.0,509.0,1266.0,All the open source things related to the Hugging Face Hub.,118.0,35,True,2023-10-10 11:51:37.000,0.18.0,83.0,huggingface_hub,conda-forge/huggingface_hub,,,,483.0,,https://pypi.org/project/huggingface_hub,2023-10-10 11:51:37.000,483.0,21220065.0,21264766.0,https://anaconda.org/conda-forge/huggingface_hub,2023-10-11 00:38:53.499,1430438.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+136,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2023-10-20 16:28:50.000000,2023-10-20 16:28:50,1465.0,24.0,202.0,47.0,519.0,38.0,728.0,1081.0,Fiona reads and writes geographic data files.,72.0,35,True,2023-10-12 19:29:21.000,1.9.5,47.0,fiona,conda-forge/fiona,,,,15460.0,15460.0,https://pypi.org/project/fiona,2023-10-12 19:16:01.000,,6544972.0,6674260.0,https://anaconda.org/conda-forge/fiona,2023-10-12 03:02:02.085,5042258.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+137,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2023-10-26 11:14:57.000000,2023-10-26 10:22:48,10101.0,146.0,526.0,71.0,2199.0,296.0,1638.0,1049.0,Machine learning for NeuroImaging in Python.,228.0,35,True,2023-10-01 19:30:40.000,0.10.2,45.0,nilearn,conda-forge/nilearn,,,['sklearn'],2921.0,2640.0,https://pypi.org/project/nilearn,2023-09-29 11:10:28.000,281.0,49789.0,56953.0,https://anaconda.org/conda-forge/nilearn,2023-10-02 11:59:55.930,250595.0,,,,,2.0,140.0,,,,,,,,,,,,,,,,,,,
+138,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2023-10-26 11:08:47.000000,2023-10-24 05:11:15,2848.0,278.0,3920.0,367.0,3352.0,313.0,1113.0,35062.0,"Making large AI models cheaper, faster and more accessible.",158.0,34,True,2023-09-22 10:30:08.000,0.3.3,33.0,,,,,,264.0,264.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+139,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2023-10-23 14:33:59.000000,2023-10-04 06:55:43,386.0,2.0,4645.0,849.0,265.0,543.0,610.0,25103.0,Library for fast text representation and classification.,64.0,34,True,2020-04-28 09:54:50.000,0.9.2,36.0,fasttext,conda-forge/fasttext,,,,5333.0,5112.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000,221.0,1273805.0,1275589.0,https://anaconda.org/conda-forge/fasttext,2023-09-26 23:15:16.887,66014.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+140,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2023-10-26 15:14:03.000000,2023-10-26 15:05:01,7276.0,261.0,2572.0,295.0,175.0,24.0,975.0,24275.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,34,True,2023-10-21 06:14:12.000,7.2.6,603.0,netron,,,,"['pytorch', 'tensorflow']",83.0,10.0,https://pypi.org/project/netron,2023-10-21 06:14:12.000,73.0,15943.0,79305.0,,,,,,,,1.0,63362.0,,,,,,,,,,,,,,,,,,,
+141,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2023-09-16 05:37:11.000000,2021-11-17 17:52:52,3466.0,,3827.0,668.0,1668.0,132.0,1979.0,23216.0,"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'],417.0,374.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,43.0,7597.0,25278.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,2330.0,,,,,2.0,1073349.0,,,,,,,,,,,,12.0,,,,,,,
+142,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2023-10-19 11:29:02.000000,2023-10-13 16:32:21,8666.0,169.0,2812.0,264.0,1206.0,163.0,647.0,16570.0,Best Practices on Recommendation Systems.,128.0,34,True,2022-07-20 05:58:55.000,1.1.1,12.0,recommenders,,,,,89.0,87.0,https://pypi.org/project/recommenders,2022-04-01 08:49:49.000,2.0,52046.0,52053.0,,,,,,,,1.0,436.0,,,,,,,recommenders-team/recommenders,,,,,,,,,,,,
+143,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2023-10-26 05:31:53.000000,2023-10-26 05:31:53,3012.0,3.0,1817.0,284.0,3502.0,324.0,1675.0,13341.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,34,True,2023-09-14 12:12:06.000,3.0,55.0,nni,,,,,525.0,490.0,https://pypi.org/project/nni,2023-09-14 12:22:00.000,35.0,20709.0,20709.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+144,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2023-10-26 06:55:28.000000,2023-10-25 21:52:25,3712.0,162.0,1107.0,188.0,2690.0,329.0,728.0,9988.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",145.0,34,True,2023-10-13 16:17:16.000,0.8.6,47.0,ludwig,,,,['tensorflow'],216.0,207.0,https://pypi.org/project/ludwig,2023-10-13 16:17:16.000,9.0,5808.0,5808.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+145,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2023-10-26 09:47:22.000000,2023-06-06 09:08:21,5835.0,,2959.0,238.0,1388.0,874.0,3794.0,9779.0,Open-source simulator for autonomous driving research.,153.0,34,True,2022-12-24 18:31:33.838,0.9.14,25.0,carla,,,,,568.0,564.0,https://pypi.org/project/carla,2022-12-24 18:31:33.838,4.0,13672.0,13672.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+146,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2023-09-03 09:40:51.000000,2023-09-03 09:26:33,526.0,5.0,870.0,86.0,273.0,78.0,376.0,7705.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",81.0,34,True,2023-07-30 14:05:26.000,2.6.2,24.0,tensorboardX,conda-forge/tensorboardx,,,,36667.0,35688.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,979.0,2244532.0,2273139.0,https://anaconda.org/conda-forge/tensorboardx,2023-08-20 16:29:43.490,1115516.0,,,,,2.0,400.0,,,,,,,,,,,,,,,,,,,
+147,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2023-10-25 09:59:42.105000,2023-10-25 07:33:27,1701.0,12.0,1291.0,147.0,202.0,188.0,143.0,7521.0,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection).,49.0,34,True,2023-10-25 07:38:28.000,1.1.1,89.0,pyod,conda-forge/pyod,,,,2956.0,2898.0,https://pypi.org/project/pyod,2023-10-25 07:36:29.000,58.0,631164.0,633214.0,https://anaconda.org/conda-forge/pyod,2023-10-25 09:59:42.105,84083.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+148,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2023-10-25 16:32:48.000000,2023-10-25 16:17:14,1311.0,17.0,843.0,156.0,1646.0,170.0,802.0,6836.0,An open source python library for automated feature engineering.,71.0,34,True,2023-07-24 15:40:37.000,1.27.0,102.0,featuretools,conda-forge/featuretools,,,,1513.0,1439.0,https://pypi.org/project/featuretools,2023-07-24 15:40:37.000,74.0,64115.0,68345.0,https://anaconda.org/conda-forge/featuretools,2023-07-24 20:21:04.496,169210.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+149,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2023-10-26 12:44:59.000000,2023-10-24 11:40:50,2835.0,23.0,2216.0,173.0,1087.0,26.0,1392.0,6305.0,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,190.0,34,True,2023-10-20 13:38:23.000,3.4.2,47.0,OpenNMT-py,,,,['pytorch'],237.0,227.0,https://pypi.org/project/OpenNMT-py,2023-10-20 13:38:23.000,10.0,6348.0,6348.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+150,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2023-08-28 17:18:20.000000,2022-10-17 02:18:00,30611.0,,1397.0,292.0,6588.0,12.0,2030.0,5826.0,A flexible framework of neural networks for deep learning.,326.0,34,True,2022-06-29 08:19:03.000,7.8.1.post1,111.0,chainer,conda-forge/chainer,,,,3518.0,3115.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,403.0,18419.0,18781.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,15959.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+151,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2023-10-26 14:28:15.000000,2023-10-25 16:30:11,18447.0,775.0,423.0,52.0,2372.0,505.0,947.0,5319.0,"Visualize, create, and debug image and video datasets and model predictions.",96.0,34,True,2023-10-20 13:51:36.000,0.22.2,130.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",423.0,414.0,https://pypi.org/project/fiftyone,2023-10-20 13:30:06.000,9.0,41193.0,41193.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+152,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2023-09-25 18:40:43.024000,2023-09-23 14:57:17,1634.0,6.0,827.0,116.0,518.0,137.0,336.0,4546.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,101.0,34,True,2023-09-25 13:23:15.000,0.23.0,51.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],11020.0,10839.0,https://pypi.org/project/mlxtend,2023-09-25 13:23:15.000,181.0,776050.0,783517.0,https://anaconda.org/conda-forge/mlxtend,2023-09-25 18:40:43.024,291220.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+153,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 14:40:43.000,2023-10-25 22:35:49.000000,2023-09-22 14:09:39,11952.0,274.0,1058.0,101.0,1260.0,120.0,735.0,4049.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",133.0,34,True,2023-09-22 14:42:30.000,1.16.0,56.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,448.0,439.0,https://pypi.org/project/adversarial-robustness-toolbox,2023-09-22 14:17:16.000,9.0,26718.0,27567.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2023-09-22 17:09:10.511,33131.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+154,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2023-10-19 11:44:12.000000,2023-10-19 11:44:10,1169.0,11.0,1715.0,148.0,209.0,2.0,680.0,3403.0,A library for transfer learning by reusing parts of TensorFlow models.,106.0,34,True,2023-10-06 10:06:37.000,0.15.0,18.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],332.0,,https://pypi.org/project/tensorflow-hub,2023-10-06 09:58:50.000,332.0,2259433.0,2261812.0,https://anaconda.org/conda-forge/tensorflow-hub,2023-07-13 16:39:43.723,90408.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+155,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2023-10-26 14:36:50.000000,2023-10-26 14:05:37,2617.0,290.0,245.0,24.0,2375.0,226.0,1326.0,2583.0,Argilla: the open-source feedback platform for LLMs.,68.0,34,True,2023-10-25 16:03:57.000,1.18.0,99.0,rubrix,conda-forge/rubrix,,,,1988.0,1988.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,222.0,1459.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,27218.0,,,,,2.0,,,,,,,,argilla-io/argilla,,,,,,,,,,,,
+156,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2023-10-26 02:07:28.000000,2023-10-26 02:07:28,2610.0,2583.0,187.0,24.0,102.0,120.0,474.0,2351.0,"Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker,..",46.0,34,True,2023-10-24 23:21:33.000,0.12.4,363.0,litellm,,,,others,315.0,287.0,https://pypi.org/project/litellm,2023-10-25 00:35:07.000,28.0,147271.0,147271.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+157,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2023-10-26 14:00:22.000000,2023-10-25 21:46:39,2619.0,141.0,270.0,68.0,1341.0,50.0,559.0,2157.0,Adaptive Experimentation Platform.,154.0,34,True,2023-08-11 14:57:03.000,0.3.4,37.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],589.0,564.0,https://pypi.org/project/ax-platform,2023-08-11 14:57:03.000,25.0,120893.0,121387.0,https://anaconda.org/conda-forge/ax-platform,2023-08-12 13:48:33.316,13850.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+158,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2023-10-26 07:50:01.000000,2023-10-25 22:31:16,3878.0,189.0,381.0,31.0,2671.0,378.0,969.0,2019.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,147.0,34,True,2023-10-07 04:19:00.000,0.42.3,84.0,pyvista,conda-forge/pyvista,,,['jupyter'],2518.0,2298.0,https://pypi.org/project/pyvista,2023-10-07 01:49:47.000,220.0,195187.0,205530.0,https://anaconda.org/conda-forge/pyvista,2023-10-07 03:29:50.976,413336.0,,,,,2.0,779.0,,,,,,,,,,,,,,,,,,,
+159,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2023-09-21 10:44:11.000000,2023-09-21 00:13:10,1827.0,3.0,195.0,29.0,207.0,18.0,387.0,1327.0,The ctypes-based simple ImageMagick binding for Python.,103.0,34,True,2023-01-05 13:25:52.000,0.6.11,23.0,wand,conda-forge/wand,,,,17437.0,17437.0,https://pypi.org/project/wand,,,845265.0,846391.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,32650.0,,,,,2.0,27962.0,,,,,,,,,,,,,,,,,,,
+160,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000,2023-10-24 18:58:07.197000,2023-10-20 22:31:37,2916.0,67.0,348.0,57.0,1098.0,326.0,905.0,1287.0,Cartopy - a cartographic python library with matplotlib support.,124.0,34,False,2023-08-05 00:57:41.000,0.22.0,29.0,cartopy,conda-forge/cartopy,,,,4313.0,3899.0,https://pypi.org/project/cartopy,2023-08-05 00:57:41.000,414.0,134722.0,214273.0,https://anaconda.org/conda-forge/cartopy,2023-10-24 18:58:07.197,3261605.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+161,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2023-10-26 09:17:11.000000,2023-10-17 15:41:51,860.0,19.0,298.0,44.0,996.0,67.0,161.0,1151.0,Making text a first-class citizen in TensorFlow.,111.0,34,True,2023-10-06 19:23:09.000,2.14.0,52.0,tensorflow-text,,,,['tensorflow'],5949.0,5949.0,https://pypi.org/project/tensorflow-text,,,3050538.0,3050538.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+162,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 06:45:41.000,2023-10-26 14:57:18.000000,2023-10-26 10:57:30,1473.0,108.0,152.0,31.0,1309.0,38.0,166.0,1060.0,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,77.0,34,True,2023-07-24 18:30:10.000,2023.2.1,21.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],8218.0,8218.0,https://pypi.org/project/scikit-learn-intelex,,,174352.0,181611.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2023-07-25 12:42:29.795,217797.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+163,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000,2023-10-26 14:43:57.000000,2023-10-26 14:29:53,13392.0,350.0,383.0,52.0,1941.0,151.0,735.0,626.0,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",152.0,34,True,2023-04-23 23:30:00.533,1.7.0,26.0,dipy,conda-forge/dipy,,,,1001.0,895.0,https://pypi.org/project/dipy,2022-03-11 20:19:02.000,106.0,15001.0,19653.0,https://anaconda.org/conda-forge/dipy,2023-06-16 13:16:19.782,414045.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+164,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2023-10-24 23:11:42.000000,2023-10-16 16:45:42,1491.0,9.0,6674.0,379.0,640.0,364.0,3017.0,26962.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",259.0,33,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],1414.0,1414.0,https://pypi.org/project/detectron2,,,,5342.0,https://anaconda.org/conda-forge/detectron2,2023-06-23 08:23:13.856,208346.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+165,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2023-10-26 02:21:35.000000,2023-10-25 11:29:38,4504.0,133.0,2237.0,222.0,606.0,27.0,717.0,21070.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",152.0,33,True,2023-10-25 12:28:24.000,0.19.0,85.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",,,https://pypi.org/project/tts,,,72729.0,120789.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,9825.0,,,,,2.0,1477191.0,,,,,,,,,,,,,,,,,,,
+166,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000,2023-10-26 14:14:32.000000,2023-10-26 14:14:32,15177.0,1668.0,2455.0,372.0,4185.0,592.0,2947.0,18529.0,MindsDB connects AI models to real time data.,794.0,33,False,2023-10-19 17:25:42.000,23.10.3.1,445.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,2023-10-19 15:48:45.000,,4707.0,4707.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+167,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2023-10-18 03:42:44.000000,2023-03-28 11:49:55,2665.0,,2090.0,187.0,1005.0,580.0,710.0,12218.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",69.0,33,True,2023-09-20 10:33:08.000,2.4.0,50.0,paddlehub,,,,['paddle'],1425.0,1419.0,https://pypi.org/project/paddlehub,2023-09-20 10:33:08.000,6.0,5966.0,5978.0,,,,,,,,2.0,664.0,,,,,,,,,,,,,,,,,,,
+168,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2023-10-25 13:56:47.000000,2021-07-29 23:17:25,531.0,,1760.0,265.0,114.0,96.0,535.0,10928.0,Lime: Explaining the predictions of any machine learning classifier.,62.0,33,False,2020-04-03 22:05:03.000,0.2.0.0,39.0,lime,conda-forge/lime,,,,4678.0,4508.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,170.0,319725.0,322029.0,https://anaconda.org/conda-forge/lime,2023-06-16 13:18:57.655,188951.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+169,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2023-10-21 23:01:55.000000,2023-10-21 22:17:07,3561.0,116.0,763.0,133.0,154.0,98.0,920.0,10227.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",87.0,33,True,2023-10-21 23:17:27.000,15.3.0,46.0,ocrmypdf,conda-forge/ocrmypdf,,,,645.0,645.0,https://pypi.org/project/ocrmypdf,,,51597.0,53775.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,57802.0,,,,,2.0,744.0,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,
+170,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2023-09-05 19:14:27.000000,2020-11-30 04:34:51,613.0,,2415.0,462.0,258.0,570.0,362.0,9603.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,33,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],5159.0,4670.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,489.0,8433.0,8433.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+171,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2023-09-06 21:46:11.000000,2023-09-06 21:46:11,2424.0,6.0,1542.0,290.0,424.0,281.0,633.0,9271.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,116.0,33,False,2023-08-15 18:22:07.000,0.12.1,62.0,tpot,conda-forge/tpot,,,['sklearn'],2443.0,2382.0,https://pypi.org/project/tpot,2023-08-15 18:22:07.000,61.0,37615.0,43556.0,https://anaconda.org/conda-forge/tpot,2023-08-15 22:49:07.495,237678.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+172,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,,873.0,265.0,148.0,83.0,103.0,8992.0,Fuzzy String Matching in Python.,70.0,33,False,2020-02-13 22:14:12.000,0.18.0,23.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,20895.0,20895.0,https://pypi.org/project/fuzzywuzzy,,,5136011.0,5141914.0,https://anaconda.org/conda-forge/fuzzywuzzy,2023-06-16 13:22:53.603,513613.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+173,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2023-08-14 20:55:28.000000,2022-12-08 17:49:19,746.0,,964.0,133.0,217.0,320.0,267.0,7767.0,Manipulate audio with a simple and easy high level interface.,95.0,33,True,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,41853.0,40664.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1189.0,3007758.0,3008989.0,https://anaconda.org/conda-forge/pydub,2023-06-16 16:12:25.533,71420.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+174,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2023-10-25 07:51:52.000000,2023-10-18 08:55:23,2853.0,17.0,1555.0,86.0,1605.0,329.0,1598.0,7686.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",118.0,33,True,2023-10-18 03:54:18.000,2.9.0,19.0,paddleseg,,,,['paddle'],1041.0,1037.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,4.0,2008.0,2008.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+175,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2023-10-26 12:56:11.000000,2023-10-26 12:56:11,793.0,51.0,680.0,275.0,1043.0,296.0,326.0,7082.0,Build and manage real-life data science projects with ease!.,74.0,33,True,2023-10-18 11:39:15.000,2.10.3,98.0,metaflow,conda-forge/metaflow,,,,567.0,541.0,https://pypi.org/project/metaflow,2023-10-18 11:39:15.000,26.0,148395.0,152294.0,https://anaconda.org/conda-forge/metaflow,2023-10-18 13:17:20.458,152071.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+176,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2023-10-23 20:54:12.000000,2023-09-29 18:36:14,1218.0,6.0,1022.0,127.0,269.0,349.0,337.0,6890.0,Distributed Asynchronous Hyperparameter Optimization in Python.,102.0,33,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,12798.0,12303.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,495.0,2037939.0,2049997.0,https://anaconda.org/conda-forge/hyperopt,2023-06-16 16:14:11.076,735539.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+177,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2023-10-26 12:49:43.000000,2023-10-17 11:40:34,2699.0,10.0,1130.0,211.0,1035.0,18.0,613.0,6379.0,An open source library for deep learning end-to-end dialog systems and chatbots.,76.0,33,True,2023-10-17 11:56:08.000,1.4.0,61.0,deeppavlov,,,,['tensorflow'],367.0,361.0,https://pypi.org/project/deeppavlov,2023-10-17 11:56:08.000,6.0,8122.0,8122.0,,,,,,,,2.0,,,,,,,,deeppavlov/DeepPavlov,,,,,,,,,,,,
+178,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2023-10-24 19:42:57.000000,2023-10-19 01:38:17,3255.0,8.0,897.0,138.0,630.0,51.0,1088.0,6248.0,Python library for audio and music analysis.,117.0,33,True,2023-08-16 13:52:19.000,0.10.1,41.0,librosa,conda-forge/librosa,,,,1465.0,,https://pypi.org/project/librosa,2023-08-16 13:52:19.000,1465.0,2018848.0,2036847.0,https://anaconda.org/conda-forge/librosa,2023-08-16 18:07:49.183,701982.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+179,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2023-10-26 14:59:34.000000,2023-10-26 13:16:17,37136.0,310.0,727.0,142.0,8593.0,903.0,4867.0,6016.0,cuDF - GPU DataFrame Library.,261.0,33,True,2023-10-11 15:25:48.000,23.10.00,41.0,cudf,,,,,55.0,47.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,8.0,1680.0,1680.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+180,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2023-10-25 23:42:36.000000,2023-10-25 23:42:28,2754.0,53.0,684.0,141.0,88.0,68.0,321.0,5741.0,Fit interpretable models. Explain blackbox machine learning.,39.0,33,True,2023-08-28 03:48:17.000,0.4.4,45.0,interpret,,,,['jupyter'],572.0,544.0,https://pypi.org/project/interpret,2023-08-26 19:56:29.000,28.0,77392.0,77392.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+181,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2023-10-25 19:50:57.000000,2023-07-28 00:16:45,2332.0,,1068.0,191.0,230.0,271.0,278.0,5319.0,Distributed Evolutionary Algorithms in Python.,87.0,33,False,2023-07-21 10:51:54.000,1.4.1,23.0,deap,conda-forge/deap,,,,4386.0,4021.0,https://pypi.org/project/deap,2023-07-21 10:51:54.000,365.0,204767.0,214170.0,https://anaconda.org/conda-forge/deap,2023-09-25 01:16:08.711,338514.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+182,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2023-10-26 14:20:19.000000,2023-10-24 15:45:18,2223.0,58.0,603.0,90.0,237.0,389.0,507.0,4813.0,"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management.",87.0,33,True,2023-09-25 21:43:22.000,1.13.1,141.0,clearml,,allegroai/trains,,,778.0,765.0,https://pypi.org/project/clearml,2023-10-26 14:20:19.000,13.0,237289.0,237901.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30186.0,2.0,1670.0,,,,,,,,,,,,,,,,,,,
+183,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2023-10-18 12:45:17.000000,2023-10-18 12:45:17,932.0,7.0,737.0,86.0,189.0,76.0,635.0,3777.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",48.0,33,True,2023-09-27 14:17:30.000,78,71.0,opencv-python,,,,,11308.0,,https://pypi.org/project/opencv-python,2023-09-28 11:00:22.000,11308.0,11094144.0,11094144.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+184,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2023-10-26 13:29:22.000000,2023-10-26 13:27:53,1487.0,36.0,353.0,93.0,728.0,122.0,440.0,3092.0,Quickly and accurately render even the largest data.,54.0,33,True,2023-08-17 10:44:40.000,0.15.2,32.0,datashader,conda-forge/datashader,,,,3053.0,3053.0,https://pypi.org/project/datashader,,,294710.0,311798.0,https://anaconda.org/conda-forge/datashader,2023-08-17 12:55:00.403,700647.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+185,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2023-10-26 12:27:41.000000,2023-10-26 01:04:58,1705.0,86.0,331.0,54.0,1439.0,71.0,378.0,2806.0,Bayesian optimization in PyTorch.,105.0,33,True,2023-08-11 00:20:30.000,0.9.2,39.0,botorch,conda-forge/botorch,,,['pytorch'],740.0,709.0,https://pypi.org/project/botorch,2023-08-11 00:20:30.000,31.0,172348.0,174679.0,https://anaconda.org/conda-forge/botorch,2023-08-11 23:47:35.517,88600.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+186,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 21:10:54.000,2023-10-25 09:08:42.000000,2021-10-12 13:32:38,1570.0,,502.0,64.0,535.0,303.0,391.0,2672.0,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,33,False,2021-10-12 15:33:19.000,0.9.0,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,5170.0,4904.0,https://pypi.org/project/scikit-optimize,2021-10-12 14:23:01.204,266.0,505693.0,514827.0,https://anaconda.org/conda-forge/scikit-optimize,2023-06-16 13:23:01.487,685073.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+187,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 13:08:13.000,2023-10-17 21:19:58.000000,2023-10-17 21:19:58,1625.0,11.0,317.0,60.0,175.0,119.0,191.0,2616.0,A machine learning toolkit dedicated to time-series data.,43.0,33,True,2023-08-21 13:31:48.000,0.6.2,99.0,tslearn,conda-forge/tslearn,,,['sklearn'],1034.0,989.0,https://pypi.org/project/tslearn,2023-08-21 13:31:48.000,45.0,303424.0,334768.0,https://anaconda.org/conda-forge/tslearn,2023-08-21 16:01:42.662,1253789.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+188,category_encoders,scikit-learn-contrib/category_encoders,sklearn-utils,,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000,2023-10-25 10:00:15.000000,2023-10-10 18:59:07,934.0,21.0,393.0,38.0,147.0,48.0,237.0,2291.0,A library of sklearn compatible categorical variable encoders.,64.0,33,True,2023-08-15 16:14:16.000,2.6.2,31.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],1308.0,1146.0,https://pypi.org/project/category_encoders,2023-08-15 16:14:16.000,162.0,1234462.0,1244601.0,https://anaconda.org/conda-forge/category_encoders,2023-08-15 19:21:54.750,243337.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+189,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2023-09-30 21:25:52.000000,2023-09-30 21:25:52,2268.0,13.0,561.0,71.0,475.0,255.0,678.0,2188.0,Survival analysis in Python.,112.0,33,True,2023-09-13 15:31:06.000,0.27.8,169.0,lifelines,conda-forge/lifelines,,,,2025.0,1901.0,https://pypi.org/project/lifelines,2023-09-13 15:31:06.000,124.0,411440.0,418706.0,https://anaconda.org/conda-forge/lifelines,2023-09-13 16:31:11.545,297937.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+190,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 08:02:14.000,2023-10-20 21:22:57.000000,2023-10-20 21:22:57,3662.0,18.0,189.0,52.0,1333.0,126.0,704.0,1929.0,Ahead of Time compiler for numeric kernels.,72.0,33,True,2023-09-06 20:25:23.000,0.14.0,58.0,pythran,conda-forge/pythran,,,,1366.0,1344.0,https://pypi.org/project/pythran,2023-09-06 20:25:23.000,22.0,194106.0,205443.0,https://anaconda.org/conda-forge/pythran,2023-09-21 12:37:53.939,419481.0,,,,,2.0,,,,,,,,,,,,,,,,,,pythran,python-pythran,
+191,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2023-10-13 15:33:46.000000,2018-10-12 15:53:05,1251.0,,282.0,52.0,155.0,104.0,218.0,1556.0,Python Geocoder.,73.0,33,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,8507.0,7984.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,523.0,441683.0,443348.0,https://anaconda.org/conda-forge/geocoder,2023-06-16 13:21:27.128,133209.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,geocoder
+192,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2023-10-24 14:54:50.000000,2023-10-23 16:17:56,1077.0,4.0,225.0,35.0,249.0,47.0,271.0,1447.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",22.0,33,True,2023-10-23 16:52:00.000,2.0.4,44.0,pmdarima,conda-forge/pmdarima,,,,6426.0,6426.0,https://pypi.org/project/pmdarima,,,1614493.0,1642541.0,https://anaconda.org/conda-forge/pmdarima,2023-06-16 19:23:20.782,1009735.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+193,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2023-10-15 04:09:07.000000,2023-10-09 06:31:38,1150.0,4.0,348.0,63.0,571.0,249.0,341.0,1410.0,A Jupyter - Leaflet.js bridge.,85.0,33,True,2023-09-11 09:06:03.000,0.17.4,78.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],5858.0,5695.0,https://pypi.org/project/ipyleaflet,2023-09-11 09:06:03.000,158.0,169347.0,247061.0,https://anaconda.org/conda-forge/ipyleaflet,2023-09-11 12:39:04.948,1079043.0,,,,,2.0,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2023-06-02 07:27:55.785,5.0,51396.0,,,,,,,,,,,,,
+194,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2023-10-26 01:56:22.000000,2023-10-25 22:54:11,11159.0,320.0,232.0,58.0,11659.0,151.0,2113.0,895.0,Cloud-native genomic dataframes and batch computing.,90.0,33,True,2023-09-21 19:30:21.000,0.2.124,144.0,hail,,,,['spark'],127.0,111.0,https://pypi.org/project/hail,2023-09-21 19:30:21.000,16.0,23059.0,23059.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+195,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2023-10-24 13:58:07.000000,2023-09-28 11:32:14,14783.0,21.0,506.0,50.0,2273.0,392.0,946.0,703.0,Workflows and interfaces for neuroimaging packages.,251.0,33,True,2023-04-06 12:55:55.544,1.8.6,64.0,nipype,conda-forge/nipype,,,,3827.0,3653.0,https://pypi.org/project/nipype,2017-05-21 03:34:02.000,174.0,77748.0,93149.0,https://anaconda.org/conda-forge/nipype,2023-09-22 18:28:24.915,585275.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+196,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2023-10-23 16:44:27.000000,2023-10-23 16:29:14,1039.0,100.0,170.0,36.0,113.0,31.0,56.0,688.0,Snowball compiler and stemming algorithms.,34.0,33,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,6816.0,4.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,6812.0,11030210.0,11115877.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,7367395.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+197,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2023-10-26 14:40:25.000000,2023-10-23 01:23:34,5657.0,108.0,248.0,37.0,771.0,122.0,385.0,588.0,Python package to access a cacophony of neuro-imaging file formats.,99.0,33,True,2023-04-03 15:53:03.644,5.1.0,40.0,nibabel,conda-forge/nibabel,,,,16334.0,15183.0,https://pypi.org/project/nibabel,2023-04-03 15:53:03.644,1151.0,268411.0,284704.0,https://anaconda.org/conda-forge/nibabel,2023-09-29 18:53:45.076,651729.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+198,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2023-10-18 08:51:11.000000,2022-06-10 09:12:18,238.0,,13078.0,1568.0,222.0,735.0,584.0,49658.0,The worlds simplest facial recognition api for Python and the command line.,54.0,32,False,2020-02-20 14:26:01.000,1.3.0,21.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],77.0,21.0,https://pypi.org/project/face_recognition,2020-02-20 14:26:01.000,56.0,58723.0,59244.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,18733.0,,,,,2.0,1179.0,,,,,,,,,,,,,,,,,,,
+199,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2023-10-23 19:11:00.000000,2023-07-13 08:50:20,531.0,,2590.0,379.0,117.0,213.0,557.0,23686.0,Deezer source separation library including pretrained models.,19.0,32,True,2023-07-10 10:07:01.047,2.4.0,37.0,spleeter,conda-forge/spleeter,,,['tensorflow'],605.0,599.0,https://pypi.org/project/spleeter,2022-06-10 13:19:35.000,6.0,15982.0,74262.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,78570.0,,,,,2.0,2717253.0,,,,,,,,,,,,,,,,,,,
+200,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2023-10-04 00:17:49.000000,2023-07-11 13:03:36,1421.0,,3721.0,766.0,1132.0,373.0,588.0,18700.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,32,True,2022-08-01 18:23:00.243,2.1.4,67.0,magenta,,,,['tensorflow'],510.0,472.0,https://pypi.org/project/magenta,2018-07-31 15:38:15.000,38.0,2943.0,2943.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+201,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2023-07-17 16:46:23.000000,2020-10-14 16:36:49,6226.0,,4627.0,1002.0,1868.0,357.0,658.0,16570.0,"Zipline, a Pythonic Algorithmic Trading Library.",160.0,32,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,1042.0,957.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,85.0,2446.0,2644.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,7355.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+202,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,,3293.0,465.0,671.0,589.0,672.0,14202.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,32,True,2020-06-17 16:31:34.798,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1521.0,1431.0,https://pypi.org/project/tensor2tensor,2017-06-21 01:15:55.000,90.0,4183.0,4183.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+203,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-05-27 00:04:03.000000,2021-11-29 19:55:31,1571.0,,1122.0,345.0,1682.0,499.0,1294.0,11097.0,Turi Create simplifies the development of custom machine learning models.,86.0,32,False,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,,378.0,357.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,21.0,17727.0,17862.0,,,,,,,,3.0,9466.0,,,,,,,,,,,,,,,,,,,
+204,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2023-10-25 14:29:03.000000,2023-10-25 14:29:02,1095.0,22.0,1494.0,108.0,88.0,8.0,775.0,7748.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",47.0,32,True,2023-02-23 10:07:02.320,0.0.79,78.0,deepface,,,,,2034.0,2020.0,https://pypi.org/project/deepface,2023-01-24 23:15:00.809,14.0,82725.0,82725.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+205,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 00:30:36,2944.0,1.0,1850.0,200.0,206.0,10.0,1343.0,6286.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,32,True,2020-04-24 19:04:45.487,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1426.0,1379.0,https://pypi.org/project/tensorpack,2018-09-04 07:48:02.000,47.0,14319.0,14738.0,https://anaconda.org/conda-forge/tensorpack,2023-06-16 19:27:42.012,10029.0,,,,,3.0,159.0,,,,,,,,,,,,,,,,,,,
+206,PML,KevinMusgrave/pytorch-metric-learning,pytorch-utils,,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000,2023-10-18 20:57:34.000000,2023-07-25 15:00:08,1165.0,,622.0,65.0,127.0,52.0,422.0,5510.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",38.0,32,True,2023-07-25 15:01:13.000,2.3.0,54.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],958.0,958.0,https://pypi.org/project/pytorch-metric-learning,,,372083.0,372323.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,10815.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+207,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2023-10-24 10:37:57.000000,2023-09-07 16:21:01,1075.0,10.0,355.0,82.0,516.0,49.0,446.0,5367.0,A scikit-learn compatible neural network library that wraps PyTorch.,60.0,32,True,2023-09-04 10:10:59.000,0.15.0,19.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",1021.0,973.0,https://pypi.org/project/skorch,2023-09-04 09:59:43.000,48.0,65613.0,86597.0,https://anaconda.org/conda-forge/skorch,2023-09-06 08:43:59.780,776427.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+208,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-10-09 03:38:19.000000,2020-07-15 13:46:58,1184.0,,1594.0,307.0,293.0,152.0,266.0,5190.0,Portfolio and risk analytics in Python.,59.0,32,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,924.0,890.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,34.0,9075.0,9259.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,12537.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+209,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2023-10-24 17:36:32.000000,2023-10-22 12:44:33,28814.0,70.0,1520.0,183.0,2000.0,28.0,1534.0,4569.0,"mlpack: a fast, header-only C++ machine learning library.",308.0,32,True,2023-10-16 11:06:45.000,4.2.1,45.0,mlpack,conda-forge/mlpack,,,,1.0,,https://pypi.org/project/mlpack,2023-09-07 13:37:40.000,1.0,2938.0,6984.0,https://anaconda.org/conda-forge/mlpack,2023-06-17 04:40:48.549,161855.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+210,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2023-10-24 23:33:13.000000,2023-10-24 23:22:11,3763.0,53.0,500.0,84.0,522.0,20.0,445.0,4467.0,Online machine learning in Python.,106.0,32,True,2023-09-03 17:17:56.000,0.19.0,17.0,river,conda-forge/river,,,,397.0,368.0,https://pypi.org/project/river,2023-09-03 15:35:29.000,29.0,18292.0,19967.0,https://anaconda.org/conda-forge/river,2023-10-06 14:40:00.791,50267.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+211,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2023-10-26 01:27:25.000000,2023-10-23 22:59:23,1090.0,30.0,554.0,115.0,793.0,249.0,994.0,3695.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",156.0,32,True,2023-09-18 21:47:03.000,7.0,45.0,coremltools,conda-forge/coremltools,,,,3563.0,3398.0,https://pypi.org/project/coremltools,2023-09-18 21:48:25.000,165.0,185442.0,187009.0,https://anaconda.org/conda-forge/coremltools,2023-06-16 19:23:14.592,52106.0,,,,,2.0,8831.0,,,,,,,,,,,,,,,,,,,
+212,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,,2013-09-12 07:18:21.000,2023-10-25 13:58:07.000000,2023-10-14 15:04:54,3796.0,33.0,1004.0,154.0,1528.0,338.0,855.0,3436.0,Fast data visualization and GUI tools for scientific / engineering applications.,260.0,32,False,2023-04-14 21:24:10.000,pyqtgraph-0.13.3,13.0,pyqtgraph,conda-forge/pyqtgraph,,,,8106.0,8106.0,https://pypi.org/project/pyqtgraph,,,155639.0,161557.0,https://anaconda.org/conda-forge/pyqtgraph,2023-06-16 13:19:32.302,479361.0,,,,,2.0,,,,,,,,,,,,,-3.0,,,,,,,
+213,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2023-10-24 17:51:23.000000,2022-08-14 17:11:42,3272.0,,703.0,185.0,735.0,262.0,669.0,3398.0,DyNet: The Dynamic Neural Network Toolkit.,160.0,32,False,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,280.0,251.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,29.0,233659.0,233816.0,,,,,,,,3.0,13217.0,,,,,,,,,,,,,,,,,,,
+214,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2023-10-25 20:08:15.000000,2023-10-19 23:18:04,1378.0,36.0,431.0,52.0,730.0,44.0,450.0,3306.0,NeuralProphet: A simple forecasting package.,45.0,32,True,2023-06-14 22:41:07.000,0.6.2,27.0,neuralprophet,,,,['pytorch'],316.0,313.0,https://pypi.org/project/neuralprophet,2023-09-19 18:17:10.000,3.0,69162.0,69162.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+215,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2023-10-24 23:49:03.000000,2023-10-24 23:48:45,1211.0,35.0,210.0,30.0,370.0,102.0,139.0,3095.0,Lightning fast forecasting with statistical and econometric models.,32.0,32,True,2023-08-23 19:27:53.000,1.6.0,27.0,statsforecast,conda-forge/statsforecast,,,,550.0,529.0,https://pypi.org/project/statsforecast,2023-08-23 19:27:53.000,21.0,443010.0,445775.0,https://anaconda.org/conda-forge/statsforecast,2023-08-25 15:46:41.512,52536.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+216,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2023-10-21 18:45:11.000000,2022-08-22 18:21:12,586.0,,566.0,77.0,74.0,59.0,161.0,2914.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,32,False,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,4374.0,4210.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000,164.0,1898410.0,1901532.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,237294.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+217,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2023-10-17 15:12:42.000000,2023-10-17 15:12:42,1272.0,16.0,268.0,54.0,213.0,51.0,404.0,2815.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,35.0,32,True,2023-08-21 11:33:22.000,1.12.0,28.0,stumpy,conda-forge/stumpy,,,,564.0,549.0,https://pypi.org/project/stumpy,2023-08-21 11:33:22.000,15.0,255972.0,279568.0,https://anaconda.org/conda-forge/stumpy,2023-08-21 11:50:40.587,943847.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+218,Keras Tuner,keras-team/keras-tuner,hyperopt,,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000,2023-10-25 22:02:28.000000,2023-10-25 20:17:23,1070.0,36.0,380.0,64.0,476.0,200.0,264.0,2782.0,A Hyperparameter Tuning Library for Keras.,59.0,32,True,2023-10-12 22:06:32.000,1.4.5,33.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],2845.0,2786.0,https://pypi.org/project/keras-tuner,2023-10-12 22:06:32.000,59.0,207144.0,208119.0,https://anaconda.org/conda-forge/keras-tuner,2023-10-24 16:34:14.028,25356.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+219,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 07:14:02.000,2023-10-23 11:11:42.000000,2023-10-23 11:11:36,955.0,33.0,219.0,40.0,510.0,106.0,169.0,2626.0,JAX-based neural network library.,79.0,32,True,2023-07-14 15:43:01.201,0.0.10,13.0,dm-haiku,conda-forge/dm-haiku,,,,1592.0,1525.0,https://pypi.org/project/dm-haiku,2023-07-14 15:43:01.201,67.0,223232.0,223649.0,https://anaconda.org/conda-forge/dm-haiku,2023-07-14 16:46:49.056,13344.0,,,,,3.0,,,,,,,,google-deepmind/dm-haiku,,,,,,,,,,,,
+220,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2023-10-26 13:18:09.000000,2023-10-11 22:02:17,2259.0,25.0,688.0,79.0,197.0,184.0,459.0,2613.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",145.0,32,True,2023-10-03 11:38:48.000,0.18.0,49.0,tf-agents,,,,['tensorflow'],1314.0,1309.0,https://pypi.org/project/tf-agents,2023-10-03 11:38:48.000,5.0,34870.0,34870.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+221,hdbscan,scikit-learn-contrib/hdbscan,others,,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000,2023-10-06 14:12:48.829000,2023-10-04 00:32:47,992.0,4.0,460.0,55.0,131.0,330.0,163.0,2553.0,A high performance implementation of HDBSCAN clustering.,85.0,32,True,2023-07-18 17:54:02.116,0.8.33,50.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],2940.0,2723.0,https://pypi.org/project/hdbscan,2023-07-18 17:54:02.116,217.0,608152.0,656501.0,https://anaconda.org/conda-forge/hdbscan,2023-10-06 14:12:48.829,1740573.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+222,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 02:26:03.000,2023-10-26 00:30:47.000000,2023-10-26 00:30:47,2348.0,316.0,209.0,25.0,1026.0,66.0,207.0,2374.0,Database system for AI-powered apps.,66.0,32,True,2023-10-18 21:51:25.000,0.3.8,44.0,evadb,,,,['pytorch'],78.0,78.0,https://pypi.org/project/evadb,2023-10-18 21:51:19.000,,2312.0,29445.0,,,,,,,,3.0,407004.0,,,,,,,georgia-tech-db/evadb,,,,,,,,,,,,
+223,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2023-10-26 15:07:21.000000,2023-10-26 14:35:50,3670.0,184.0,485.0,53.0,3712.0,307.0,804.0,1935.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,145.0,32,True,2023-09-22 20:00:00.000,0.32.0-post1,50.0,pennylane,conda-forge/pennylane,,,,709.0,651.0,https://pypi.org/project/pennylane,2023-08-28 18:06:33.000,58.0,38296.0,39446.0,https://anaconda.org/conda-forge/pennylane,2023-09-11 14:31:55.391,26438.0,,,,,2.0,70.0,,,,,,,,,,,,,,,,,,,
+224,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2023-10-26 10:53:34.000000,2023-10-25 13:27:15,864.0,106.0,265.0,52.0,976.0,227.0,318.0,1678.0,Accelerate training and inference of Transformers and Diffusers with easy to use hardware optimization tools.,82.0,32,True,2023-09-21 18:33:16.000,1.13.2,49.0,optimum,conda-forge/optimum,,,,770.0,739.0,https://pypi.org/project/optimum,2023-09-21 18:28:37.000,31.0,428289.0,428807.0,https://anaconda.org/conda-forge/optimum,2023-06-18 08:41:09.996,9338.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+225,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 01:09:14.000,2023-10-26 08:25:33.000000,2023-10-16 17:20:19,4118.0,146.0,1075.0,154.0,1069.0,45.0,593.0,1652.0,Documentation and samples for ArcGIS API for Python.,89.0,32,True,2023-10-03 15:37:18.000,2.2.0,39.0,arcgis,,esridocker/arcgis-api-python-notebook,,,35.0,3.0,https://pypi.org/project/arcgis,2023-10-18 17:19:02.000,32.0,68159.0,68270.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,3.0,9507.0,,,,,,,,,,,,,,,,,,,
+226,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2023-10-23 19:16:15.000000,2023-10-19 12:37:43,935.0,5.0,181.0,48.0,295.0,127.0,119.0,1568.0,Evaluate: A library for easily evaluating machine learning models and datasets.,123.0,32,True,2023-10-13 15:57:18.000,0.4.1,14.0,evaluate,,,,,4530.0,4403.0,https://pypi.org/project/evaluate,2023-10-13 15:54:47.000,127.0,1119437.0,1119437.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+227,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 20:34:28.000,2023-09-14 23:00:07.000000,2023-09-14 23:00:02,815.0,5.0,320.0,122.0,765.0,205.0,164.0,1437.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",82.0,32,True,2023-05-26 02:36:01.000,0.7.5,30.0,tensorflow-model-optimization,,,,['tensorflow'],3277.0,3247.0,https://pypi.org/project/tensorflow-model-optimization,2023-05-26 02:35:42.850,30.0,461946.0,461946.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+228,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2023-10-24 16:43:54.000000,2023-10-24 16:43:54,2747.0,79.0,263.0,34.0,193.0,36.0,483.0,1167.0,Python interface for igraph.,71.0,32,False,2023-10-12 21:32:31.000,0.11.2,38.0,python-igraph,conda-forge/igraph,,,,407.0,,https://pypi.org/project/python-igraph,2023-10-12 21:32:31.000,407.0,291490.0,310738.0,https://anaconda.org/conda-forge/igraph,2023-10-04 20:43:38.652,471064.0,,,,,1.0,561936.0,,,,,,,,,,,,,,,,,,,
+229,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2023-10-18 11:17:00.880000,2023-10-18 03:51:44,1522.0,27.0,143.0,42.0,131.0,4.0,640.0,1148.0,A Python data analysis library that is optimized for humans instead of machines.,52.0,32,True,,,9.0,agate,conda-forge/agate,,,,2275.0,2275.0,https://pypi.org/project/agate,,,4289426.0,4294640.0,https://anaconda.org/conda-forge/agate,2023-10-18 11:17:00.880,151218.0,,,,,2.0,,,,,,,,,,,,,-3.0,,,,,,,
+230,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2023-10-18 18:59:53.000000,2023-10-18 18:59:52,3272.0,17.0,242.0,49.0,347.0,72.0,262.0,992.0,"OpenCL integration for Python, plus shiny features.",95.0,32,True,2023-10-12 23:06:24.000,2023.1.4,94.0,pyopencl,conda-forge/pyopencl,,,,1879.0,1674.0,https://pypi.org/project/pyopencl,2023-10-12 23:06:24.000,205.0,80576.0,104462.0,https://anaconda.org/conda-forge/pyopencl,2023-10-13 14:22:03.075,955463.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+231,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2023-10-26 14:49:46.000000,2023-10-25 21:54:30,2678.0,502.0,2090.0,254.0,1723.0,62.0,322.0,19942.0,You like pytorch? You like micrograd? You love tinygrad!.,224.0,31,True,2023-08-27 16:40:37.000,0.7.0,4.0,,,,,['pytorch'],29.0,29.0,,,,,,,,,,,,,1.0,,,,,,,,tinygrad/tinygrad,,,,,,,,,,,,
+232,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2023-10-24 11:15:03.000000,2023-09-27 02:34:22,2153.0,8.0,2675.0,193.0,3582.0,1253.0,3835.0,11321.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",146.0,31,True,2023-10-19 03:47:18.000,2.7.0,9.0,paddledet,,,,['paddle'],116.0,116.0,https://pypi.org/project/paddledet,,,600.0,600.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+233,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2023-07-21 09:09:23.000000,2023-07-21 09:09:17,859.0,,1358.0,421.0,82.0,34.0,158.0,9607.0,TensorFlow-based neural network library.,58.0,31,True,2022-12-15 16:54:01.069,2.0.1,28.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1212.0,1160.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000,52.0,13741.0,14294.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,26030.0,,,,,3.0,,,,,,,,google-deepmind/sonnet,,,,,,,,,,,,
+234,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2023-10-02 22:40:56.000000,2023-10-02 22:40:55,1387.0,2.0,1406.0,303.0,889.0,129.0,758.0,8960.0,AutoML library for deep learning.,143.0,31,True,2023-01-28 18:46:30.271,1.1.0,58.0,autokeras,,,,['tensorflow'],595.0,584.0,https://pypi.org/project/autokeras,2022-04-30 05:46:13.000,11.0,13358.0,13587.0,,,,,,,,2.0,16319.0,,,,,,,,,,,,,,,,,,,
+235,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2023-10-24 19:57:22.000000,2023-10-24 19:51:03,547.0,4.0,1155.0,165.0,427.0,58.0,468.0,7798.0,Automatic extraction of relevant features from time series:.,91.0,31,True,2023-06-14 21:34:06.791,0.20.1,30.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],96.0,21.0,https://pypi.org/project/tsfresh,2021-12-21 03:37:03.000,75.0,247575.0,279618.0,https://anaconda.org/conda-forge/tsfresh,2023-07-30 07:29:21.371,1313772.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+236,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2023-10-20 16:31:09.000000,2023-03-13 12:21:37,454.0,,2291.0,281.0,132.0,298.0,307.0,7606.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",49.0,31,True,2023-03-14 12:04:32.000,3.10.0,54.0,SpeechRecognition,conda-forge/speechrecognition,,,,832.0,21.0,https://pypi.org/project/SpeechRecognition,2022-12-04 12:47:02.703,811.0,438496.0,440516.0,https://anaconda.org/conda-forge/speechrecognition,2023-06-16 13:24:04.552,173782.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+237,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2023-10-18 14:39:11.000000,2023-04-18 11:08:13,2759.0,,1239.0,215.0,705.0,171.0,826.0,7184.0,Automated Machine Learning with scikit-learn.,88.0,31,True,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],538.0,499.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,39.0,24571.0,25228.0,https://anaconda.org/conda-forge/auto-sklearn,2023-06-16 19:25:30.278,19731.0,,,,,2.0,50.0,,,,,,,,,,,,,,,,,,,
+238,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2023-10-22 10:20:09.000000,2023-07-14 06:46:40,354.0,,1455.0,134.0,126.0,13.0,307.0,7063.0,A Python implementation of global optimization with gaussian processes.,41.0,31,True,2023-04-25 22:00:01.831,1.4.3,14.0,bayesian-optimization,,,,,2235.0,2132.0,https://pypi.org/project/bayesian-optimization,2023-04-25 22:00:01.831,103.0,200879.0,200880.0,,,,,,,,2.0,139.0,,,,,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,,,
+239,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2023-10-25 17:48:10.000000,2023-10-25 01:21:58,1462.0,104.0,544.0,73.0,575.0,76.0,191.0,6871.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",37.0,31,False,2023-09-11 17:53:22.000,2.5.0,24.0,cleanlab,conda-forge/cleanlab,,,,203.0,195.0,https://pypi.org/project/cleanlab,2023-09-11 17:53:22.000,8.0,14846.0,15439.0,https://anaconda.org/conda-forge/cleanlab,2023-09-12 22:14:32.939,17808.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+240,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2023-10-25 21:39:20.000000,2023-10-20 14:05:52,5773.0,74.0,841.0,113.0,1542.0,98.0,572.0,6840.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",92.0,31,True,2023-10-21 04:06:52.000,2.6.0,114.0,perspective-python,conda-forge/perspective,,,['jupyter'],116.0,100.0,https://pypi.org/project/perspective-python,2023-10-21 04:06:52.000,13.0,8647.0,23196.0,https://anaconda.org/conda-forge/perspective,2023-10-21 11:43:50.591,467605.0,,,,,2.0,1465.0,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2023-10-21 04:02:27.321,3.0,2371.0,,,,,,,,,,,,,
+241,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2023-10-25 11:54:30.000000,2023-10-13 06:29:55,1088.0,43.0,721.0,59.0,851.0,243.0,942.0,6565.0,A python library for user-friendly forecasting and anomaly detection on time series.,104.0,31,True,2023-09-16 18:00:33.000,0.26.0,37.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,402.0,397.0,https://pypi.org/project/u8darts,2023-09-16 18:00:33.000,5.0,13156.0,14523.0,https://anaconda.org/conda-forge/u8darts-all,2023-09-16 21:13:02.960,36756.0,https://hub.docker.com/r/unit8/darts,2023-09-16 17:47:31.409750,,415.0,2.0,,,,,,,,,,,,,,,,,,,,
+242,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2023-10-05 05:04:06.000000,2023-07-17 16:59:29,152.0,,1008.0,199.0,92.0,132.0,281.0,5597.0,Official Kaggle API.,37.0,31,True,2023-07-17 17:06:58.000,1.5.16,59.0,kaggle,conda-forge/kaggle,,,,395.0,21.0,https://pypi.org/project/kaggle,2023-09-19 19:12:15.000,374.0,190689.0,194443.0,https://anaconda.org/conda-forge/kaggle,2023-07-18 03:35:17.292,138909.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+243,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2023-06-16 16:15:44.326000,2022-01-27 13:24:16,139.0,,1006.0,154.0,112.0,150.0,79.0,4400.0,"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,,,,38745.0,37906.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,839.0,451466.0,454334.0,https://anaconda.org/conda-forge/imutils,2023-06-16 16:15:44.326,149150.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+244,D-Tale,man-group/dtale,data-viz,,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000,2023-10-23 13:17:55.000000,2023-10-23 13:17:06,765.0,32.0,355.0,72.0,274.0,54.0,493.0,4318.0,Visualizer for pandas data structures.,30.0,31,True,2023-10-02 20:11:29.000,3.7.0,137.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",904.0,904.0,https://pypi.org/project/dtale,,,103632.0,109799.0,https://anaconda.org/conda-forge/dtale,2023-10-02 20:41:19.114,252850.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+245,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2023-10-25 18:53:26.000000,2023-10-25 18:43:00,1024.0,7.0,435.0,222.0,715.0,156.0,326.0,4226.0,Model interpretability and understanding for PyTorch.,102.0,31,True,2022-12-28 01:14:50.000,0.6.0,8.0,captum,conda-forge/captum,,,['pytorch'],1517.0,1517.0,https://pypi.org/project/captum,,,128975.0,129741.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,16873.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+246,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2023-10-26 14:45:29.000000,2023-10-26 14:15:13,1420.0,53.0,740.0,74.0,1735.0,270.0,615.0,3853.0,Probabilistic time series modeling in Python.,110.0,31,True,2023-10-18 09:34:42.000,0.13.7,97.0,gluonts,anaconda/gluonts,,,['mxnet'],13.0,,https://pypi.org/project/gluonts,2023-10-18 09:34:42.000,13.0,251932.0,251956.0,https://anaconda.org/anaconda/gluonts,2023-06-23 14:26:58.411,586.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+247,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2023-10-11 16:57:02.000000,2023-10-11 16:57:02,1071.0,16.0,342.0,60.0,1322.0,116.0,172.0,3728.0,A Python toolbox for performing gradient-free optimization.,50.0,31,True,2023-10-10 10:46:49.000,1.0.0,45.0,nevergrad,conda-forge/nevergrad,,,,581.0,554.0,https://pypi.org/project/nevergrad,2023-10-10 10:46:49.000,27.0,82809.0,83849.0,https://anaconda.org/conda-forge/nevergrad,2023-09-21 13:51:23.949,42662.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+248,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2023-10-16 23:55:29.000000,2023-10-16 23:55:06,239.0,4.0,262.0,47.0,49.0,29.0,89.0,3591.0,A simple command-line utility for querying and monitoring GPU status.,17.0,31,True,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,4301.0,4170.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,131.0,1191880.0,1199514.0,https://anaconda.org/conda-forge/gpustat,2023-08-23 10:35:25.821,267203.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+249,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2023-10-22 15:36:47.000000,2023-02-05 22:03:50,437.0,,504.0,63.0,208.0,171.0,147.0,3554.0,Header-only C++/python library for fast approximate nearest neighbors.,65.0,31,True,2023-02-07 20:10:08.000,0.7.0,10.0,hnswlib,conda-forge/hnswlib,,,,5276.0,5225.0,https://pypi.org/project/hnswlib,2023-02-05 22:20:00.654,51.0,717900.0,721284.0,https://anaconda.org/conda-forge/hnswlib,2023-09-27 14:20:16.958,115082.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+250,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2023-10-12 06:56:41.568000,2023-10-11 17:58:18,434.0,9.0,602.0,79.0,226.0,76.0,403.0,3292.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,31,True,2023-09-29 21:07:11.000,0.7.2,47.0,implicit,conda-forge/implicit,,,,1177.0,1139.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,38.0,183945.0,198544.0,https://anaconda.org/conda-forge/implicit,2023-10-12 06:56:41.568,539096.0,,,,,1.0,615.0,,,,,,,,,,,,,,,,,,,
+251,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2023-10-26 13:45:14.000000,2023-09-20 00:35:48,3821.0,6.0,504.0,57.0,869.0,320.0,961.0,3255.0,A highly efficient implementation of Gaussian Processes in PyTorch.,125.0,31,True,2023-06-02 22:04:02.000,1.11,38.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],1687.0,1620.0,https://pypi.org/project/gpytorch,2023-06-02 22:13:00.914,67.0,212572.0,215760.0,https://anaconda.org/conda-forge/gpytorch,2023-08-11 22:34:06.614,130712.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+252,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2023-10-18 22:16:45.000000,2022-05-31 03:18:45,1556.0,,425.0,92.0,122.0,71.0,348.0,3158.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,47.0,31,False,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,1016.0,959.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,57.0,250959.0,253742.0,https://anaconda.org/conda-forge/nmslib,2023-09-26 10:22:21.295,100209.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+253,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2023-10-24 18:29:08.000000,2023-10-24 18:29:08,333.0,8.0,320.0,66.0,75.0,9.0,118.0,2861.0,A Python Perceptual Image Hashing Module.,26.0,31,True,2022-09-28 08:48:24.658,4.3.1,20.0,ImageHash,conda-forge/imagehash,,,,11229.0,10850.0,https://pypi.org/project/ImageHash,2022-09-28 08:48:24.658,379.0,1419561.0,1423690.0,https://anaconda.org/conda-forge/imagehash,2023-06-16 13:23:10.041,342717.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+254,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2023-10-15 20:00:34.000000,2023-04-20 03:41:53,699.0,,241.0,39.0,792.0,68.0,282.0,2610.0,PyTorch extensions for high performance and large scale training.,72.0,31,True,2022-12-11 18:09:19.000,0.4.13,35.0,fairscale,conda-forge/fairscale,,,['pytorch'],3266.0,3266.0,https://pypi.org/project/fairscale,,,484433.0,491437.0,https://anaconda.org/conda-forge/fairscale,2023-06-16 19:27:50.549,161096.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+255,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2023-10-26 11:14:10.000000,2023-10-26 11:14:10,2914.0,28.0,683.0,79.0,840.0,256.0,611.0,2502.0,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",120.0,31,True,2023-10-16 21:49:45.000,0.1.24,23.0,pgmpy,,,,,777.0,746.0,https://pypi.org/project/pgmpy,2023-10-16 20:46:07.000,31.0,55388.0,55395.0,,,,,,,,2.0,293.0,,,,,,,,,,,,,,,,,,,
+256,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2023-10-26 11:23:38.000000,2023-10-20 03:29:40,767.0,34.0,278.0,35.0,839.0,40.0,237.0,2197.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",39.0,31,True,2023-09-09 13:24:13.000,0.7.0,13.0,python-doctr,,,,"['tensorflow', 'pytorch']",204.0,201.0,https://pypi.org/project/python-doctr,2023-09-09 13:24:13.000,3.0,12831.0,73961.0,,,,,,,,2.0,1956173.0,,,,,,,,,,,,,,,,,,,
+257,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2023-10-26 11:43:24.000000,2023-10-18 20:24:26,5372.0,178.0,666.0,89.0,5510.0,93.0,833.0,2015.0,TFX is an end-to-end platform for deploying production ML pipelines.,178.0,31,True,2023-09-06 18:31:57.000,1.14.0,95.0,tfx,,,,['tensorflow'],14.0,,https://pypi.org/project/tfx,2023-09-06 22:01:30.000,14.0,51495.0,51495.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+258,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2023-10-25 01:02:04.000000,2023-10-25 01:02:04,532.0,13.0,157.0,44.0,70.0,8.0,120.0,1909.0,a python library for doing approximate and phonetic matching of strings.,30.0,31,True,,,13.0,jellyfish,conda-forge/jellyfish,,,,7155.0,7155.0,https://pypi.org/project/jellyfish,,,2225731.0,2243858.0,https://anaconda.org/conda-forge/jellyfish,2023-09-25 04:19:29.218,725085.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+259,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2023-10-09 11:45:47.000000,2023-10-09 11:43:56,191.0,4.0,250.0,57.0,69.0,45.0,219.0,1858.0,A Python wrapper for the tesseract-ocr API.,29.0,31,True,2023-10-09 13:37:06.000,2.6.2,16.0,tesserocr,conda-forge/tesserocr,,,,893.0,893.0,https://pypi.org/project/tesserocr,,,64037.0,66665.0,https://anaconda.org/conda-forge/tesserocr,2023-06-16 16:18:15.161,126148.0,,,,,2.0,57.0,,,,,,,,,,,,,,,,,,,
+260,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2023-10-26 07:47:08.000000,2023-09-27 17:00:20,1748.0,64.0,364.0,55.0,110.0,44.0,413.0,1591.0,Reinforcement Learning environments based on the 1993 game Doom.,53.0,31,True,2023-09-27 21:19:28.000,1.2.2,28.0,vizdoom,,,,,219.0,203.0,https://pypi.org/project/vizdoom,2023-09-27 21:19:28.000,16.0,2715.0,2844.0,,,,,,,,1.0,11756.0,,,,,,,Farama-Foundation/ViZDoom,,,,,,,,,,,,
+261,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2023-10-20 21:52:11.000000,2023-10-20 21:52:11,1051.0,24.0,202.0,52.0,201.0,33.0,271.0,1502.0,A full spaCy pipeline and models for scientific/biomedical documents.,32.0,31,True,2023-09-30 19:50:35.000,0.5.3,14.0,scispacy,,,,,804.0,774.0,https://pypi.org/project/scispacy,2023-09-30 19:50:35.000,30.0,60496.0,60496.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+262,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2023-10-13 08:03:24.837000,2023-10-11 07:28:04,1466.0,10.0,160.0,33.0,239.0,1.0,,1291.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",22.0,31,True,2023-10-12 06:00:47.000,1.3.2,74.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],1354.0,1312.0,https://pypi.org/project/spacy-transformers,2023-10-12 05:45:32.000,42.0,358139.0,359160.0,https://anaconda.org/conda-forge/spacy-transformers,2023-10-13 08:03:24.837,23489.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+263,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2023-10-21 14:50:09.000000,2023-10-16 10:24:24,1106.0,27.0,268.0,42.0,493.0,31.0,178.0,1167.0,ARCH models in Python.,35.0,31,False,2023-09-26 15:06:52.000,6.2.0,45.0,arch,conda-forge/arch-py,,,,1275.0,1207.0,https://pypi.org/project/arch,2023-09-26 15:06:52.000,68.0,278015.0,284670.0,https://anaconda.org/conda-forge/arch-py,2023-10-06 06:11:20.798,266231.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+264,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2023-10-24 13:55:57.000000,2023-10-24 13:55:55,917.0,9.0,214.0,60.0,98.0,45.0,173.0,970.0,Input pipeline framework.,27.0,31,True,2023-08-11 23:14:04.000,1.14.0,56.0,tensorflow-transform,,,,['tensorflow'],1567.0,1511.0,https://pypi.org/project/tensorflow-transform,2023-08-11 23:14:04.000,56.0,806723.0,806723.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+265,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2023-10-26 14:30:59.000000,2023-10-24 03:03:44,12431.0,243.0,270.0,34.0,1671.0,437.0,590.0,962.0,Python package for earth-observing satellite data processing.,145.0,31,False,2023-10-17 11:11:12.000,0.44.0,90.0,satpy,conda-forge/satpy,,,,128.0,111.0,https://pypi.org/project/satpy,2023-10-17 11:11:12.000,17.0,6993.0,11290.0,https://anaconda.org/conda-forge/satpy,2023-10-17 14:26:15.835,171905.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+266,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2023-10-16 18:32:23.923000,2023-10-16 13:28:53,623.0,44.0,86.0,25.0,464.0,283.0,384.0,815.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",43.0,31,True,2023-10-17 08:55:43.000,0.9.0,17.0,hvplot,conda-forge/hvplot,,,,3802.0,3802.0,https://pypi.org/project/hvplot,,,117814.0,129971.0,https://anaconda.org/conda-forge/hvplot,2023-10-16 18:32:23.923,486302.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+267,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2023-10-25 17:43:28.000000,2023-10-18 15:44:46,17043.0,56.0,108.0,26.0,3547.0,509.0,3373.0,458.0,"Keep code, data, containers under control with git and git-annex.",55.0,31,True,2023-08-10 15:56:42.000,0.19.3,108.0,datalad,conda-forge/datalad,,,,63.0,,https://pypi.org/project/datalad,2023-08-10 15:56:42.000,63.0,17887.0,27867.0,https://anaconda.org/conda-forge/datalad,2023-08-10 20:20:25.522,399205.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+268,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 11:25:57.000,2023-10-26 14:11:53.000000,2023-10-24 13:30:41,1773.0,200.0,51.0,15.0,1324.0,37.0,196.0,414.0,The MLOps stack component for experiment tracking.,52.0,31,True,2023-10-10 09:20:28.000,1.8.2,191.0,neptune-client,conda-forge/neptune-client,,,,44.0,,https://pypi.org/project/neptune-client,2023-10-20 17:30:37.000,44.0,533097.0,538422.0,https://anaconda.org/conda-forge/neptune-client,2023-10-10 10:39:44.277,218354.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+269,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,,4382.0,1262.0,557.0,836.0,2543.0,17413.0,"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,,,,,19.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,19.0,495.0,648.0,,,,,,,,3.0,14318.0,,,,,,,,,,,,,,,,,,,
+270,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2023-10-25 21:49:04.000000,2023-10-25 21:47:58,300.0,19.0,2525.0,134.0,43.0,112.0,128.0,15651.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",20.0,30,True,2023-10-25 21:49:04.000,1.6.3,183.0,vit-pytorch,,,,['pytorch'],337.0,331.0,https://pypi.org/project/vit-pytorch,2023-10-25 21:49:04.000,6.0,17997.0,17997.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+271,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2023-10-26 13:46:52.000000,2023-10-20 09:23:34,1953.0,8.0,2141.0,270.0,882.0,226.0,646.0,12689.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",120.0,30,True,2023-07-18 11:35:09.110,0.9.3,32.0,pyqlib,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pyqlib,2022-06-15 06:55:10.000,1.0,1928.0,1938.0,,,,,,,,2.0,392.0,,,,,,,,,,,,,,,,,,,
+272,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2023-10-12 17:53:25.000000,2023-10-04 01:39:27,564.0,1.0,2254.0,221.0,234.0,91.0,409.0,9710.0,A little word cloud generator in Python.,69.0,30,True,2023-05-05 22:40:27.000,1.9.1.1,12.0,wordcloud,conda-forge/wordcloud,,,,21.0,21.0,https://pypi.org/project/wordcloud,,,1367988.0,1379292.0,https://anaconda.org/conda-forge/wordcloud,2023-07-07 15:15:49.535,440893.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+273,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2023-09-25 05:14:24.000000,2023-08-26 12:04:19,383.0,5.0,2084.0,288.0,96.0,295.0,446.0,8102.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,30,True,2023-01-02 17:10:24.749,3.0.3,13.0,imageai,conda-forge/imageai,,,,1474.0,1456.0,https://pypi.org/project/imageai,2023-01-02 17:10:24.749,18.0,7369.0,20983.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,6543.0,,,,,2.0,887502.0,,,,,,,,,,,,,,,,,,,
+274,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2023-10-19 23:55:26.000000,2023-10-19 23:55:26,1144.0,21.0,1251.0,105.0,607.0,673.0,515.0,7645.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,121.0,30,True,,,2.0,,conda-forge/nvidia-apex,,,['pytorch'],2043.0,2043.0,,,,,3648.0,https://anaconda.org/conda-forge/nvidia-apex,2023-06-16 16:18:35.589,175133.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+275,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2023-10-17 14:32:20.000000,2023-10-17 14:32:20,1754.0,49.0,716.0,126.0,264.0,411.0,328.0,6515.0,Uniform Manifold Approximation and Projection.,126.0,30,True,2023-09-15 15:26:00.000,0.5.4,27.0,umap-learn,conda-forge/umap-learn,,,,1.0,1.0,https://pypi.org/project/umap-learn,,,1001080.0,1056577.0,https://anaconda.org/conda-forge/umap-learn,2023-09-16 02:25:50.473,2219895.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+276,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2023-10-24 01:14:36.000000,2023-10-13 16:56:01,916.0,23.0,863.0,136.0,598.0,126.0,288.0,6263.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,82.0,30,True,2023-09-05 05:01:49.000,0.10.1,13.0,dowhy,conda-forge/dowhy,,,,307.0,300.0,https://pypi.org/project/dowhy,2023-09-05 05:01:49.000,7.0,33969.0,34395.0,https://anaconda.org/conda-forge/dowhy,2023-06-16 19:19:18.359,17495.0,,,,,2.0,33.0,,,,,,,,,,,,,,,,,,,
+277,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 11:21:28,918.0,1.0,634.0,148.0,789.0,141.0,355.0,4663.0,Deep Learning Visualization Toolkit.,33.0,30,True,2023-06-05 07:21:00.910,2.5.3,43.0,visualdl,,,,['paddle'],2423.0,2383.0,https://pypi.org/project/visualdl,2023-06-05 07:21:00.910,40.0,159694.0,159702.0,,,,,,,,2.0,330.0,,,,,,,,,,,,,,,,,,,
+278,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2023-08-27 19:16:02.000000,2023-04-30 18:36:20,483.0,,671.0,92.0,206.0,137.0,356.0,4448.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,30,True,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1290.0,1243.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000,47.0,686134.0,688548.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,166624.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+279,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2023-10-25 18:42:01.000000,2023-10-25 18:42:01,565.0,32.0,691.0,81.0,299.0,87.0,272.0,4324.0,Uplift modeling and causal inference with machine learning algorithms.,57.0,30,True,2023-08-28 06:52:12.000,0.14.1,22.0,causalml,,,,,169.0,168.0,https://pypi.org/project/causalml,2023-08-28 06:52:12.000,1.0,162190.0,162190.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+280,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2023-10-25 20:02:04.000000,2023-10-18 11:57:02,2141.0,1.0,249.0,45.0,2088.0,302.0,638.0,4305.0,Aim An easy-to-use & supercharged open-source experiment tracker.,58.0,30,True,2023-06-02 08:59:51.000,3.17.5,55.0,aim,conda-forge/aim,,,,340.0,340.0,https://pypi.org/project/aim,,,127729.0,129182.0,https://anaconda.org/conda-forge/aim,2023-06-16 19:26:46.894,39239.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+281,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2023-10-13 14:31:38.000000,2022-09-24 16:20:26,585.0,,824.0,90.0,203.0,101.0,418.0,4102.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,45.0,30,False,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],3393.0,3361.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,32.0,72629.0,73422.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,19044.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+282,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2023-10-26 14:26:15.000000,2023-10-25 23:35:15,15288.0,64.0,472.0,70.0,3314.0,796.0,1537.0,3599.0,cuML - RAPIDS Machine Learning Library.,164.0,30,True,2023-10-11 18:02:50.000,23.10.00,35.0,cuml,,,,,5.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,5.0,1738.0,1738.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+283,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2023-09-28 08:31:00.000000,2023-09-28 08:30:38,400.0,24.0,241.0,63.0,51.0,,,3194.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",14.0,30,True,2023-09-28 08:32:07.000,4.6.0,11.0,textdistance,conda-forge/textdistance,,,,5048.0,5048.0,https://pypi.org/project/textdistance,,,387069.0,394522.0,https://anaconda.org/conda-forge/textdistance,2023-06-16 16:13:38.456,483653.0,,,,,2.0,916.0,,,,,,,,,,,,,,,,,,,
+284,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2023-09-25 16:33:45.000000,2023-08-26 23:30:34,979.0,9.0,570.0,101.0,331.0,29.0,709.0,3185.0,"Fast, flexible and easy to use probabilistic modelling in Python.",71.0,30,True,2023-09-17 19:03:32.000,0.14.9,73.0,pomegranate,conda-forge/pomegranate,,,,1051.0,994.0,https://pypi.org/project/pomegranate,2023-09-17 19:03:32.000,57.0,23048.0,26408.0,https://anaconda.org/conda-forge/pomegranate,2023-09-07 11:32:40.942,137784.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+285,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2023-09-23 22:00:36.000000,2023-07-13 17:20:36,617.0,,321.0,49.0,119.0,57.0,134.0,2680.0,A python library for decision tree visualization and model interpretation.,25.0,30,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,943.0,919.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,24.0,152901.0,154647.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,61134.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+286,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2023-10-19 08:07:07.000000,2023-10-19 08:07:06,1113.0,37.0,220.0,26.0,948.0,89.0,384.0,2562.0,A python library for self-supervised learning on images.,33.0,30,True,2023-10-04 07:51:48.000,1.4.21,108.0,lightly,,,,['pytorch'],181.0,176.0,https://pypi.org/project/lightly,2023-10-04 07:52:44.000,5.0,52656.0,52656.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+287,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2023-10-06 04:01:21.000000,2022-12-25 20:52:27,843.0,,519.0,99.0,1045.0,260.0,297.0,2536.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",86.0,30,True,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,,['mxnet'],1420.0,1398.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,85269.0,85269.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+288,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2023-10-05 22:44:57.000000,2023-09-30 19:28:42,2645.0,27.0,340.0,37.0,498.0,43.0,212.0,2533.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",60.0,30,True,2023-09-11 23:15:50.000,0.3.9,46.0,textattack,conda-forge/textattack,,,,205.0,200.0,https://pypi.org/project/textattack,2023-09-11 23:15:50.000,5.0,5218.0,5400.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,6758.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+289,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2023-10-26 14:03:10.000000,2023-10-26 14:03:08,6712.0,568.0,315.0,75.0,7906.0,126.0,301.0,2497.0,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,..",106.0,30,True,2023-10-26 00:57:09.000,0.26.2,451.0,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",4.0,,https://pypi.org/project/determined,2023-10-26 01:19:33.000,4.0,15639.0,15817.0,,,,,,,,3.0,7502.0,,,,,,,,,,,,,,,,,,,
+290,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2023-08-10 11:30:02.000000,2023-08-01 12:07:51,1342.0,14.0,288.0,23.0,43.0,25.0,194.0,2092.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,20.0,30,True,2023-08-01 11:52:36.000,0.4.3,76.0,explainerdashboard,conda-forge/explainerdashboard,,,,384.0,384.0,https://pypi.org/project/explainerdashboard,,,57302.0,58495.0,https://anaconda.org/conda-forge/explainerdashboard,2023-06-16 19:23:52.178,40592.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+291,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapter-transformers,https://github.com/adapter-hub/adapter-transformers,Apache-2.0,2020-04-21 16:21:43.000,2023-10-25 20:08:51.000000,2023-09-09 10:28:34,12583.0,2.0,284.0,23.0,255.0,54.0,285.0,1949.0,Huggingface Transformers + Adapters =.,1714.0,30,True,2023-04-06 21:17:41.000,adapters3.2.1,14.0,adapter-transformers,,,,['huggingface'],239.0,239.0,https://pypi.org/project/adapter-transformers,,,20680.0,20680.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+292,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2023-10-23 11:08:12.000000,2023-08-09 07:05:49,2440.0,4.0,435.0,74.0,1252.0,143.0,679.0,1767.0,Gaussian processes in TensorFlow.,83.0,30,True,2023-08-09 09:23:26.000,2.9.0,48.0,gpflow,conda-forge/gpflow,,,['tensorflow'],608.0,572.0,https://pypi.org/project/gpflow,2023-08-09 09:23:26.000,36.0,42584.0,42954.0,https://anaconda.org/conda-forge/gpflow,2023-06-16 16:08:37.785,24112.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+293,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 14:28:43,1157.0,35.0,207.0,36.0,1081.0,25.0,496.0,1713.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,30,True,2023-06-30 13:37:19.283,0.8.2,40.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],249.0,246.0,https://pypi.org/project/lightning-flash,2022-05-11 18:17:54.000,3.0,2077.0,2691.0,https://anaconda.org/conda-forge/lightning-flash,2023-07-04 02:12:18.993,15980.0,,,,,1.0,,,,,,,,Lightning-Universe/lightning-flash,,,,,,,,,,,,
+294,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2023-10-25 13:23:51.000000,2023-10-25 13:23:51,827.0,29.0,358.0,36.0,842.0,175.0,284.0,1662.0,A Python package to assess and improve fairness of machine learning models.,76.0,30,True,2023-07-28 09:05:39.000,0.9.0,19.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],26.0,2.0,https://pypi.org/project/fairlearn,2023-07-27 16:36:24.000,24.0,516854.0,517698.0,https://anaconda.org/conda-forge/fairlearn,2023-07-28 12:27:51.245,29556.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+295,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2023-10-26 10:24:48.000000,2023-08-28 18:19:10,1585.0,2.0,274.0,55.0,135.0,78.0,179.0,1638.0,"CUDA integration for Python, plus shiny features.",80.0,30,True,2023-07-06 18:53:22.000,2022.2.2,51.0,pycuda,conda-forge/pycuda,,,,2663.0,2444.0,https://pypi.org/project/pycuda,2022-12-21 02:24:00.995,219.0,34097.0,42447.0,https://anaconda.org/conda-forge/pycuda,2023-10-01 22:45:04.870,258869.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+296,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2023-10-05 09:23:28.000000,2023-10-05 09:23:23,1094.0,72.0,167.0,23.0,140.0,42.0,123.0,1523.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,24.0,30,True,2023-08-30 11:24:18.000,0.33.0,34.0,audiomentations,,,,,353.0,353.0,https://pypi.org/project/audiomentations,,,17269.0,17269.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+297,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2023-10-23 16:10:02.000000,2023-10-23 16:10:02,3689.0,87.0,243.0,30.0,542.0,83.0,668.0,1488.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,73.0,30,True,2023-07-28 14:24:47.000,0.4.0,7.0,avalanche-lib,,,,,52.0,51.0,https://pypi.org/project/avalanche-lib,2023-07-28 14:24:47.000,1.0,1537.0,1537.0,,,,,,,,2.0,4.0,,,,,,,,,,,,,,,,,,,
+298,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2023-10-25 16:26:26.000000,2023-10-25 16:26:25,808.0,116.0,95.0,21.0,320.0,69.0,186.0,1458.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,42.0,30,True,2023-10-13 02:17:23.000,0.11.1,45.0,equinox,,,,['jax'],312.0,273.0,https://pypi.org/project/equinox,2023-10-13 02:17:23.000,39.0,22989.0,22989.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+299,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2023-10-22 18:34:47.000000,2023-10-20 16:00:31,1829.0,37.0,269.0,45.0,264.0,58.0,191.0,1445.0,TensorLy: Tensor Learning in Python.,66.0,30,True,2023-03-08 01:09:02.237,0.8.1,20.0,tensorly,conda-forge/tensorly,,,,546.0,497.0,https://pypi.org/project/tensorly,2023-01-14 21:19:00.648,49.0,23600.0,29177.0,https://anaconda.org/conda-forge/tensorly,2023-06-16 16:08:38.154,362535.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+300,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2023-09-26 23:11:11.000000,2023-09-26 23:11:11,163.0,6.0,174.0,33.0,72.0,19.0,50.0,1377.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,8.0,30,True,2023-09-26 22:07:23.000,0.2.6,5.0,torchsde,conda-forge/torchsde,,,['pytorch'],1674.0,1664.0,https://pypi.org/project/torchsde,2023-09-26 21:52:19.000,10.0,1004390.0,1004958.0,https://anaconda.org/conda-forge/torchsde,2023-06-16 19:24:16.458,18750.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+301,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2023-10-23 20:16:24.000000,2023-10-17 19:04:51,925.0,9.0,411.0,87.0,205.0,46.0,235.0,1370.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,71.0,30,True,2023-01-27 12:18:54.000,3.1.4,15.0,emcee,conda-forge/emcee,,,,2089.0,2089.0,https://pypi.org/project/emcee,,,90878.0,94392.0,https://anaconda.org/conda-forge/emcee,2023-06-16 13:16:26.628,312766.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+302,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2023-10-26 14:20:37.000000,2023-10-26 13:51:21,3556.0,187.0,48.0,152.0,462.0,118.0,322.0,1232.0,Multiplatform plotting library based on Grammar of Graphics.,20.0,30,True,2023-09-13 17:19:02.000,4.0.1,64.0,lets-plot,,,,,49.0,48.0,https://pypi.org/project/lets-plot,2023-09-13 16:46:46.000,1.0,27500.0,27511.0,,,,,,,,2.0,539.0,,,,,,,,,,,,,,,,,,,
+303,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2023-10-25 08:35:27.000000,2023-10-25 08:31:47,1510.0,15.0,162.0,19.0,756.0,106.0,432.0,1205.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,107.0,30,True,2023-09-18 03:57:15.000,0.26.0,59.0,pyjanitor,conda-forge/pyjanitor,,,,496.0,478.0,https://pypi.org/project/pyjanitor,2023-09-18 03:57:09.000,18.0,31417.0,34153.0,https://anaconda.org/conda-forge/pyjanitor,2023-06-16 16:12:04.304,183367.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+304,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2023-10-04 22:35:58.000000,2023-09-05 18:32:42,3006.0,18.0,267.0,35.0,37.0,3.0,473.0,1187.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,16.0,30,True,2023-09-05 19:18:15.000,0.38.0,204.0,ktrain,,,,['tensorflow'],467.0,464.0,https://pypi.org/project/ktrain,2023-09-05 19:17:43.000,3.0,19047.0,19047.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+305,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2023-06-16 13:22:54.711000,2022-10-09 20:27:52,544.0,,105.0,32.0,54.0,72.0,75.0,902.0,Describing statistical models in Python using symbolic formulas.,17.0,30,True,2022-10-09 20:34:35.000,0.5.3,10.0,patsy,conda-forge/patsy,,,,84078.0,81343.0,https://pypi.org/project/patsy,2022-10-09 20:29:01.698,2735.0,9576576.0,9683733.0,https://anaconda.org/conda-forge/patsy,2023-06-16 13:22:54.711,9215504.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+306,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2023-10-13 23:50:16.000000,2023-10-13 23:50:16,1859.0,14.0,217.0,19.0,285.0,48.0,269.0,748.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",43.0,30,True,2023-01-08 01:14:38.679,1.4.7,46.0,salib,conda-forge/salib,,,,999.0,917.0,https://pypi.org/project/salib,2022-06-22 01:55:54.000,82.0,105768.0,107425.0,https://anaconda.org/conda-forge/salib,2023-06-16 13:22:11.263,137565.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+307,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2023-10-23 19:40:26.000000,2023-10-07 23:47:13,1647.0,41.0,277.0,43.0,1265.0,259.0,361.0,667.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",107.0,30,True,2023-09-08 15:59:39.000,0.34.0,41.0,tensorflow-io,,,,['tensorflow'],33.0,,https://pypi.org/project/tensorflow-io,2023-09-08 14:58:40.000,33.0,2900840.0,2900840.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+308,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2023-10-26 14:37:04.000000,2023-10-20 09:06:56,159508.0,3742.0,79.0,51.0,1929.0,75.0,279.0,662.0,TensorFlow ROCm port.,4501.0,30,True,2019-10-11 17:16:09.000,2.0.0-rocm,2.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,,,3912.0,3912.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,,
+309,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2023-09-30 21:07:31.348000,2023-08-17 17:52:43,277.0,5.0,107.0,24.0,50.0,35.0,54.0,451.0,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,,,,16183.0,15823.0,https://pypi.org/project/audioread,2023-09-27 19:27:51.000,360.0,1566298.0,1586264.0,https://anaconda.org/conda-forge/audioread,2023-09-30 21:07:31.348,718777.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+310,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2023-10-01 08:59:57.840000,2023-09-20 14:02:33,568.0,4.0,38.0,14.0,67.0,7.0,25.0,204.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,12.0,30,False,2023-09-22 06:31:01.000,0.7.11,46.0,blis,conda-forge/cython-blis,,,,34734.0,34487.0,https://pypi.org/project/blis,2023-09-22 06:27:17.000,247.0,5453105.0,5507103.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,1997936.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+311,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2023-10-09 02:57:53.000000,2023-04-19 14:13:08,2404.0,,3342.0,594.0,217.0,42.0,,11760.0,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,1800.0,1741.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000,59.0,12116.0,12116.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+312,pandas-ai,gventuri/pandas-ai,others,,https://github.com/gventuri/pandas-ai,https://github.com/gventuri/pandas-ai,MIT,2023-04-22 12:58:01.000,2023-10-26 14:22:09.000000,2023-10-25 09:30:03,579.0,243.0,714.0,81.0,241.0,122.0,234.0,8875.0,"PandasAI is the Python library that integrates Gen AI into pandas, making data analysis conversational.",50.0,29,True,2023-10-25 09:36:43.000,1.4,80.0,pandas-ai,,,,,2312.0,2312.0,https://pypi.org/project/pandas-ai,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+313,pretrainedmodels,Cadene/pretrained-models.pytorch,pytorch-utils,,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000,2023-06-16 19:20:12.183000,2020-04-16 08:02:22,154.0,,1840.0,218.0,46.0,96.0,94.0,8834.0,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,29,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,,['pytorch'],114.0,20.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,94.0,114345.0,115065.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,28812.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+314,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2023-10-25 19:40:55.000000,2023-10-25 03:58:32,2861.0,33.0,2011.0,189.0,394.0,171.0,470.0,8239.0,FinRL: Financial Reinforcement Learning.,107.0,29,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,23.0,23.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,1095.0,1095.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+315,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2023-10-26 11:01:10.000000,2023-10-17 13:07:02,1106.0,7.0,1176.0,143.0,153.0,232.0,1179.0,7766.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,125.0,29,False,2023-05-10 15:14:23.000,0.7.4,16.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],622.0,611.0,https://pypi.org/project/pytorch3d,2022-04-28 15:53:26.000,11.0,3664.0,7054.0,https://anaconda.org/pytorch3d/pytorch3d,2023-06-16 16:19:10.555,159367.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+316,Facets Overview,pair-code/facets,data-viz,,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000,2023-05-24 15:58:01.158000,2023-05-24 15:56:22,277.0,,909.0,269.0,98.0,82.0,81.0,7190.0,Visualizations for machine learning datasets.,31.0,29,True,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,,['jupyter'],210.0,202.0,https://pypi.org/project/facets-overview,2023-05-24 15:58:01.158,8.0,203081.0,203081.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+317,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2023-10-24 07:07:43.000000,2023-08-16 23:55:56,220.0,4.0,1282.0,173.0,46.0,69.0,235.0,6552.0,2D and 3D Face alignment library build using pytorch.,26.0,29,True,2023-08-17 14:37:33.000,1.4.1,13.0,face-alignment,,,,['pytorch'],21.0,21.0,https://pypi.org/project/face-alignment,,,59666.0,59666.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+318,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2023-10-26 00:55:21.000000,2023-10-25 18:46:25,1938.0,81.0,774.0,97.0,2162.0,258.0,846.0,6359.0,"AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data.",112.0,29,True,2023-06-30 22:19:00.811,0.8.2,1314.0,autogluon,,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",9.0,2.0,https://pypi.org/project/autogluon,2023-10-25 09:04:27.000,7.0,48471.0,48554.0,,,,https://hub.docker.com/r/autogluon/autogluon,2023-07-26 19:13:58.158186,15.0,4243.0,2.0,,,,,,,,,,,,,,,,,,,,
+319,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2023-06-16 19:20:32.486000,2023-01-31 19:40:04,3203.0,,1390.0,191.0,783.0,38.0,423.0,5942.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",131.0,29,True,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],543.0,531.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,12.0,1092.0,1271.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,7167.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+320,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2023-10-22 09:33:23.000000,2023-10-22 09:33:23,779.0,4.0,1156.0,212.0,91.0,194.0,120.0,5462.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",28.0,29,True,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,412.0,393.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,19.0,14554.0,14554.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+321,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,,1360.0,208.0,158.0,42.0,227.0,5443.0,Deep Reinforcement Learning for Keras.,41.0,29,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],776.0,722.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,54.0,1805.0,1805.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+322,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2023-10-24 20:54:04.000000,2023-10-24 20:54:00,591.0,53.0,658.0,109.0,174.0,10.0,337.0,5127.0,Python-tesseract is an optical character recognition (OCR) tool for python.,44.0,29,True,2023-10-15 15:39:44.000,0.3.13,26.0,pytesseract,conda-forge/pytesseract,,,,,,https://pypi.org/project/pytesseract,,,1198565.0,1213648.0,https://anaconda.org/conda-forge/pytesseract,2023-10-15 19:50:43.241,588272.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+323,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2023-10-19 19:24:54.000000,2023-10-19 19:24:51,248.0,2.0,851.0,124.0,38.0,62.0,143.0,4894.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,21.0,29,True,2022-04-22 15:21:47.000,0.2.3,7.0,torchdiffeq,conda-forge/torchdiffeq,,,['pytorch'],2409.0,2373.0,https://pypi.org/project/torchdiffeq,2022-04-22 15:21:47.000,36.0,824491.0,824821.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,13562.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+324,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2023-06-16 19:26:38.185000,2022-07-07 05:16:43,738.0,,441.0,42.0,124.0,63.0,154.0,4146.0,Data augmentation for NLP.,33.0,29,False,2022-07-07 05:24:14.000,1.1.11,25.0,nlpaug,conda-forge/nlpaug,,,,908.0,908.0,https://pypi.org/project/nlpaug,,,172651.0,173165.0,https://anaconda.org/conda-forge/nlpaug,2023-06-16 19:26:38.185,14396.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+325,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2023-06-19 05:07:43.000000,2023-06-19 05:07:42,1342.0,,374.0,71.0,364.0,96.0,460.0,4105.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",105.0,29,True,2023-01-25 17:37:52.489,0.8.4,28.0,sacred,conda-forge/sacred,,,,2741.0,2633.0,https://pypi.org/project/sacred,2023-01-25 17:37:52.489,108.0,29453.0,29632.0,https://anaconda.org/conda-forge/sacred,2023-06-16 19:27:54.498,4132.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+326,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2023-09-05 09:19:38.000000,2022-08-23 15:59:41,615.0,,798.0,148.0,118.0,132.0,99.0,3795.0,Technical Analysis Library using Pandas and Numpy.,29.0,29,False,2022-08-23 16:03:04.047,0.10.2,54.0,ta,conda-forge/ta,,,,2679.0,2636.0,https://pypi.org/project/ta,2022-08-23 16:03:04.047,43.0,84350.0,84983.0,https://anaconda.org/conda-forge/ta,2023-06-16 19:24:38.213,20286.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+327,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,MIT,2012-08-24 16:14:59.000,2023-08-19 15:07:22.000000,2022-10-25 17:55:33,609.0,,116.0,76.0,66.0,15.0,120.0,3621.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",18.0,29,True,2022-02-09 19:44:15.000,6.1.1,48.0,ftfy,conda-forge/ftfy,,,,14879.0,14267.0,https://pypi.org/project/ftfy,2022-02-09 19:44:15.000,612.0,2913341.0,2916845.0,https://anaconda.org/conda-forge/ftfy,2023-06-16 13:23:10.061,273378.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+328,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2023-10-19 11:03:44.000000,2023-10-04 07:40:23,3656.0,2.0,446.0,102.0,1042.0,223.0,368.0,3490.0,Plotting library for IPython/Jupyter notebooks.,64.0,29,True,2023-08-04 08:28:46.000,0.12.41,62.0,bqplot,conda-forge/bqplot,,,['jupyter'],50.0,50.0,https://pypi.org/project/bqplot,,,134361.0,169874.0,https://anaconda.org/conda-forge/bqplot,2023-07-12 07:26:23.351,1231357.0,,,,,3.0,,,bqplot,https://www.npmjs.com/package/bqplot,,,5480.0,,,,,,,,,,,,,
+329,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2023-10-26 11:34:26.000000,2023-10-16 20:54:26,1292.0,4.0,774.0,273.0,1435.0,258.0,512.0,3386.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",149.0,29,True,2023-10-04 17:35:44.000,0.16.0,25.0,torchtext,,,,['pytorch'],,,https://pypi.org/project/torchtext,,,370317.0,370317.0,,,,,,,,2.0,,,,,,,,,,,,,-4.0,,,,,,,
+330,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2023-10-25 20:00:51.000000,2023-10-24 20:05:26,1684.0,94.0,515.0,41.0,731.0,429.0,280.0,3274.0,Time series forecasting with PyTorch.,43.0,29,True,2023-04-10 19:57:38.490,1.0.0,34.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,10.0,,https://pypi.org/project/pytorch-forecasting,2020-07-26 21:35:43.000,10.0,55534.0,56924.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,51462.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+331,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2023-10-26 00:09:07.000000,2023-10-10 19:51:49,1111.0,45.0,444.0,61.0,654.0,1.0,487.0,3201.0,On-device wake word detection powered by deep learning.,36.0,29,True,2023-10-25 17:37:16.000,3.0.0,32.0,pvporcupine,,,,,35.0,22.0,https://pypi.org/project/pvporcupine,2023-10-25 17:37:16.000,13.0,3948.0,3948.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+332,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2023-07-08 17:08:15.000000,2022-04-29 04:19:24,1698.0,,399.0,47.0,1084.0,6.0,353.0,3183.0,Accelerated deep learning R&D.,104.0,29,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1045.0,1012.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,33.0,100851.0,100851.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+333,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2023-09-28 14:19:11.000000,2023-09-10 15:15:16,1059.0,25.0,226.0,60.0,109.0,4.0,265.0,2986.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,29,True,2023-09-10 19:39:46.000,0.3.2,22.0,vidgear,,,,,476.0,467.0,https://pypi.org/project/vidgear,2023-09-10 19:39:46.000,9.0,11371.0,11388.0,,,,,,,,2.0,936.0,,,,,,,,,,,,,,,,,,,
+334,pytorch-optimizer,jettify/pytorch-optimizer,pytorch-utils,,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000,2023-09-18 10:49:10.000000,2023-06-20 03:14:12,435.0,,277.0,34.0,474.0,31.0,30.0,2865.0,torch-optimizer -- collection of optimizers for Pytorch.,26.0,29,True,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,,['pytorch'],1059.0,1017.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,42.0,100171.0,100473.0,https://anaconda.org/conda-forge/torch-optimizer,2023-06-16 19:25:40.043,9082.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+335,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2023-10-07 20:19:04.855000,2023-08-31 20:43:50,463.0,2.0,729.0,120.0,113.0,57.0,365.0,2837.0,"Hidden Markov Models in Python, with scikit-learn like API.",45.0,29,True,2023-04-18 18:59:00.534,0.3.0,12.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],2211.0,2072.0,https://pypi.org/project/hmmlearn,2022-02-10 14:13:50.000,139.0,158716.0,164082.0,https://anaconda.org/conda-forge/hmmlearn,2023-10-07 20:19:04.855,198575.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+336,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2023-10-13 10:43:44.000000,2023-10-13 10:43:44,1131.0,37.0,364.0,43.0,62.0,121.0,456.0,2793.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",23.0,29,True,2023-09-26 17:27:09.000,1.1.1,84.0,mljar-supervised,conda-forge/mljar-supervised,,,,91.0,89.0,https://pypi.org/project/mljar-supervised,2023-09-26 17:23:51.000,2.0,5771.0,6180.0,https://anaconda.org/conda-forge/mljar-supervised,2023-09-27 04:54:23.157,11472.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+337,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2023-10-25 21:03:27.000000,2023-10-25 21:03:22,3454.0,39.0,338.0,157.0,1148.0,34.0,59.0,2654.0,Neural Network Libraries.,73.0,29,True,2023-07-14 02:40:27.000,1.36.0,76.0,nnabla,,,,,54.0,,https://pypi.org/project/nnabla,2022-05-01 11:42:01.000,54.0,3968.0,3980.0,,,,,,,,3.0,906.0,,,,,,,,,,,,,,,,,,,
+338,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2023-10-08 20:21:44.000000,2023-09-26 10:23:29,124.0,17.0,257.0,50.0,19.0,35.0,89.0,2650.0,"Visualize and compare datasets, target values and associations, with one line of code.",9.0,29,True,2023-08-26 11:31:52.000,2.2.1,11.0,sweetviz,conda-forge/sweetviz,,,,1763.0,1763.0,https://pypi.org/project/sweetviz,,,69731.0,70533.0,https://anaconda.org/conda-forge/sweetviz,2023-08-28 12:37:11.059,25684.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+339,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2023-10-26 13:22:42.000000,2023-10-24 10:15:27,499.0,50.0,455.0,30.0,615.0,30.0,531.0,2493.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",61.0,29,True,2023-08-29 07:29:32.000,0.7.0,27.0,anomalib,,,,,32.0,32.0,https://pypi.org/project/anomalib,,,21386.0,21533.0,,,,,,,,2.0,3240.0,,,,,,,,,,,,,,,,,,,
+340,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2023-10-21 15:40:12.000000,2023-10-12 07:35:49,2853.0,23.0,962.0,121.0,491.0,53.0,291.0,2488.0,IPython Parallel: Interactive Parallel Computing in Python.,112.0,29,False,2023-04-14 13:35:06.415,8.6.1,45.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],299.0,,https://pypi.org/project/ipyparallel,2023-04-14 13:35:06.415,299.0,292846.0,303091.0,https://anaconda.org/conda-forge/ipyparallel,2023-06-16 13:17:51.662,922051.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+341,IB-insync,erdewit/ib_insync,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000,2023-10-17 16:57:10.000000,2023-10-17 16:57:08,762.0,22.0,579.0,177.0,72.0,5.0,536.0,2410.0,Python sync/async framework for Interactive Brokers API.,36.0,29,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,23.0,,https://pypi.org/project/ib_insync,2022-11-21 09:32:01.715,23.0,30319.0,31039.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,36725.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+342,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2023-07-06 22:54:55.000000,2022-12-10 14:00:49,877.0,,356.0,85.0,166.0,219.0,146.0,2279.0,D3 Renderings of Matplotlib Graphics.,51.0,29,True,2022-12-10 14:03:04.289,0.5.9,18.0,mpld3,conda-forge/mpld3,,,,5566.0,5150.0,https://pypi.org/project/mpld3,2022-12-10 14:03:04.289,408.0,285265.0,287878.0,https://anaconda.org/conda-forge/mpld3,2023-06-16 13:17:04.944,188926.0,,,,,3.0,,,mpld3,https://www.npmjs.com/package/mpld3,2022-12-10 14:00:31.699,8.0,514.0,,,,,,,,,,,,,
+343,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000,2023-10-25 15:22:22.000000,2023-10-25 15:22:22,646.0,17.0,229.0,47.0,625.0,132.0,223.0,2181.0,Algorithms for explaining machine learning models.,19.0,29,True,2023-07-07 14:10:27.000,0.9.4,31.0,alibi,,,,,551.0,526.0,https://pypi.org/project/alibi,2023-07-07 14:10:05.734,25.0,27225.0,27225.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+344,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,,247.0,92.0,124.0,30.0,230.0,2112.0,"NLP, before and after spaCy.",35.0,29,False,2023-04-02 22:46:00.000,0.13.0,29.0,textacy,conda-forge/textacy,,,,1575.0,1575.0,https://pypi.org/project/textacy,,,62021.0,63787.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,135991.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+345,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2023-09-23 18:51:05.000000,2023-08-22 16:20:29,468.0,16.0,362.0,62.0,148.0,7.0,91.0,2052.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,29,True,2023-08-07 19:52:09.000,3.2.5,21.0,pytextrank,,,,,503.0,486.0,https://pypi.org/project/pytextrank,2023-08-07 19:52:09.000,17.0,64709.0,64709.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+346,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000,2023-10-25 11:22:22.000000,2023-10-25 11:22:22,711.0,14.0,198.0,35.0,515.0,134.0,233.0,1959.0,"Algorithms for outlier, adversarial and drift detection.",20.0,29,True,2023-07-07 12:16:02.615,0.11.4,36.0,alibi-detect,,,,,380.0,374.0,https://pypi.org/project/alibi-detect,2022-06-01 16:23:29.000,6.0,23566.0,23566.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+347,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2023-10-23 12:44:20.000000,2023-10-13 04:04:45,1347.0,51.0,198.0,50.0,225.0,149.0,147.0,1922.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",39.0,29,True,2023-10-13 04:06:28.000,0.29.6,161.0,graphistry,,,,['jupyter'],107.0,102.0,https://pypi.org/project/graphistry,2023-10-13 04:06:28.000,5.0,2492.0,2492.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+348,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2023-10-24 23:48:03.000000,2023-10-24 23:48:02,1063.0,35.0,195.0,27.0,387.0,83.0,277.0,1863.0,Scalable and user friendly neural forecasting algorithms.,31.0,29,True,2023-10-05 19:40:30.000,1.6.4,20.0,neuralforecast,conda-forge/neuralforecast,,,,58.0,55.0,https://pypi.org/project/neuralforecast,2023-10-05 19:40:30.000,3.0,11572.0,12156.0,https://anaconda.org/conda-forge/neuralforecast,2023-10-06 19:47:12.240,11113.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+349,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2023-10-15 23:16:55.733000,2023-09-04 14:53:24,500.0,4.0,393.0,85.0,96.0,80.0,251.0,1797.0,bt - flexible backtesting for Python.,28.0,29,True,2021-04-21 02:52:26.000,0.2.9,25.0,bt,conda-forge/bt,,,,1591.0,1564.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000,27.0,8504.0,9117.0,https://anaconda.org/conda-forge/bt,2023-10-15 23:16:55.733,18405.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+350,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2023-10-23 23:19:39.000000,2023-06-10 14:30:23,670.0,,400.0,41.0,58.0,19.0,267.0,1767.0,"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,,,,1170.0,1148.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,22.0,22677.0,23453.0,https://anaconda.org/conda-forge/ogb,2023-06-16 19:21:31.692,28733.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+351,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2023-07-31 14:46:11.000000,2023-04-24 15:04:32,275.0,,355.0,53.0,77.0,82.0,99.0,1741.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,39.0,29,True,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],5572.0,5413.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000,159.0,253052.0,254226.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,75145.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+352,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2023-10-24 20:06:11.000000,2023-10-24 20:06:05,363.0,5.0,240.0,48.0,310.0,232.0,183.0,1660.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,42.0,29,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,,['tensorflow'],255.0,254.0,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,1.0,369916.0,369916.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+353,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2023-09-14 02:29:45.000000,2023-09-14 02:29:42,410.0,4.0,269.0,59.0,87.0,22.0,95.0,1613.0,ffn - a financial function library for Python.,30.0,29,True,2023-05-23 20:33:00.695,0.3.7,28.0,ffn,conda-forge/ffn,,,,409.0,379.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000,30.0,154152.0,154343.0,https://anaconda.org/conda-forge/ffn,2023-06-15 20:53:40.904,5759.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+354,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2023-10-26 10:47:18.000000,2023-10-26 10:47:15,1227.0,5.0,131.0,31.0,95.0,39.0,232.0,1422.0,Statistical package in Python based on Pandas.,43.0,29,False,2023-01-02 16:01:44.953,0.5.3,39.0,pingouin,conda-forge/pingouin,,,,1565.0,1511.0,https://pypi.org/project/pingouin,2023-01-02 16:01:44.953,54.0,80325.0,82187.0,https://anaconda.org/conda-forge/pingouin,2023-06-16 16:12:34.261,108040.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+355,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2023-10-11 22:37:43.000000,2023-10-11 22:37:41,386.0,15.0,177.0,24.0,30.0,3.0,129.0,1110.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,29,True,2023-10-11 22:35:06.000,0.13.0,59.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],438.0,428.0,https://pypi.org/project/prince,2023-10-11 22:35:06.000,10.0,80959.0,81325.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,17218.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+356,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2023-10-19 21:12:08.031000,2021-02-12 19:04:59,2079.0,,243.0,40.0,36.0,66.0,590.0,1107.0,"pyclustering is a Python, C++ data mining library.",26.0,29,False,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,591.0,557.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,34.0,81027.0,82513.0,https://anaconda.org/conda-forge/pyclustering,2023-10-19 21:12:08.031,57783.0,,,,,2.0,475.0,,,,,,,,,,,,,,,,,,,
+357,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2023-06-16 16:10:42.597000,2022-02-17 22:38:15,288.0,,454.0,43.0,176.0,93.0,102.0,1028.0,"Utilities for working with image data, text data, and sequence data.",52.0,29,False,2020-05-14 03:55:22.223,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],1572.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:55:22.223,1572.0,5341592.0,5374758.0,https://anaconda.org/conda-forge/keras-preprocessing,2023-06-16 16:10:42.597,2122672.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+358,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2023-10-26 14:04:47.000000,2023-10-26 14:04:47,10005.0,14.0,218.0,34.0,1390.0,206.0,335.0,1003.0,Computations and statistics on manifolds with geometric structures.,84.0,29,True,2023-08-30 05:36:10.000,2.7.0,32.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,86.0,83.0,https://pypi.org/project/geomstats,2023-08-30 05:33:32.000,3.0,1626.0,1739.0,https://anaconda.org/conda-forge/geomstats,2023-08-30 16:59:06.279,1819.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+359,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2023-10-26 15:01:45.000000,2023-10-17 18:00:14,1830.0,143.0,250.0,21.0,2105.0,81.0,224.0,999.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,39.0,29,True,2023-10-17 19:59:24.000,0.31.0,49.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",71.0,68.0,https://pypi.org/project/raiwidgets,2023-10-17 19:59:24.000,3.0,5123.0,5123.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+360,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2023-10-06 09:43:40.000000,2023-10-06 09:43:40,488.0,3.0,122.0,31.0,126.0,28.0,73.0,842.0,Python bindings and utilities for GeoJSON.,54.0,29,True,2023-02-16 01:19:03.498,3.0.1,30.0,geojson,conda-forge/geojson,,,,16868.0,15618.0,https://pypi.org/project/geojson,2023-01-26 16:04:02.467,1250.0,1256978.0,1265336.0,https://anaconda.org/conda-forge/geojson,2023-06-16 13:15:38.240,760634.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+361,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2023-10-23 18:32:14.000000,2023-09-26 15:37:24,16512.0,80.0,359.0,43.0,1604.0,278.0,2949.0,810.0,An open-source application for biological image analysis.,142.0,29,True,2023-08-14 19:59:48.000,4.2.6,48.0,cellprofiler,,,,,21.0,20.0,https://pypi.org/project/cellprofiler,2023-08-14 19:14:28.000,1.0,503.0,554.0,,,,,,,,2.0,6024.0,,,,,,,,,,,,,,,,,,,
+362,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2023-09-12 21:18:01.000000,2023-09-12 21:18:01,657.0,11.0,98.0,14.0,92.0,66.0,60.0,803.0,A Python nearest neighbor descent for approximate nearest neighbors.,26.0,29,True,2023-04-20 15:29:00.655,0.5.10,29.0,pynndescent,conda-forge/pynndescent,,,,4643.0,4584.0,https://pypi.org/project/pynndescent,2022-10-31 17:20:00.872,59.0,976801.0,1009150.0,https://anaconda.org/conda-forge/pynndescent,2023-06-16 16:15:32.587,1682171.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+363,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 15:47:02.000,2023-10-18 20:18:09.000000,2023-10-18 20:18:07,929.0,12.0,151.0,47.0,81.0,37.0,142.0,734.0,Library for exploring and validating machine learning data.,25.0,29,True,2023-08-14 06:29:46.000,1.14.0,44.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",779.0,749.0,https://pypi.org/project/tensorflow-data-validation,2023-08-14 06:58:23.000,30.0,382927.0,382934.0,,,,,,,,3.0,470.0,,,,,,,,,,,,,,,,,,,
+364,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000,2023-10-26 12:15:50.000000,2023-10-26 12:12:45,2938.0,78.0,101.0,15.0,232.0,11.0,117.0,702.0,Python bindings for MPI.,26.0,29,True,2023-10-04 09:04:51.000,3.1.5,27.0,mpi4py,conda-forge/mpi4py,,,,710.0,,https://pypi.org/project/mpi4py,2023-10-04 09:04:51.000,710.0,176513.0,238113.0,https://anaconda.org/conda-forge/mpi4py,2023-10-17 08:36:29.714,2201381.0,,,,,2.0,17590.0,,,,,,,,,,,,,,,,,,,
+365,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2023-10-22 05:03:59.000000,2023-06-29 16:28:24,325.0,,1387.0,440.0,47.0,98.0,87.0,10235.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,28,True,2022-09-21 20:20:42.649,4.0.6,44.0,dopamine-rl,,,,['tensorflow'],57.0,21.0,https://pypi.org/project/dopamine-rl,2022-09-21 20:20:42.649,36.0,38919.0,38919.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+366,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 21:49:25,6626.0,1.0,1582.0,625.0,2111.0,464.0,1338.0,6328.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",123.0,28,False,2018-06-01 15:39:25.550,1.0.5,53.0,nupic,,,,,59.0,21.0,https://pypi.org/project/nupic,2016-09-01 21:30:21.000,38.0,1638.0,1638.0,,,,,,,,3.0,1.0,,,,,,,numenta/nupic-legacy,,,,,,,,,,,,
+367,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2023-10-06 08:13:53.418000,2023-01-27 13:12:44,652.0,,971.0,145.0,93.0,73.0,304.0,5995.0,A Python scikit for building and analyzing recommender systems.,45.0,28,True,2022-09-23 17:17:00.724,1.1.3,11.0,scikit-surprise,conda-forge/scikit-surprise,,,,71.0,21.0,https://pypi.org/project/scikit-surprise,2022-09-23 17:17:00.724,50.0,137593.0,146349.0,https://anaconda.org/conda-forge/scikit-surprise,2023-10-06 08:13:53.418,341506.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+368,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2023-10-03 15:08:28.000000,2018-07-25 01:28:08,1796.0,,780.0,277.0,438.0,221.0,328.0,4801.0,"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'],341.0,301.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,40.0,247.0,247.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,
+369,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2023-10-26 14:19:49.000000,2023-10-21 20:22:41,1517.0,38.0,758.0,144.0,1418.0,293.0,394.0,4598.0,Simple and Distributed Machine Learning.,113.0,28,True,2023-09-27 02:20:17.000,0.11.3,35.0,synapseml,,,,,,,https://pypi.org/project/synapseml,,,283411.0,283411.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+370,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2023-10-26 12:18:58.000000,2023-10-05 16:17:35,6152.0,31.0,508.0,153.0,1898.0,295.0,1322.0,4241.0,ArrayFire: a general purpose GPU library.,88.0,28,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,,7.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,7.0,968.0,1014.0,,,,,,,,2.0,4645.0,,,,,,,,,,,,,,,,,,,
+371,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2023-07-17 02:18:14.000000,2022-12-25 20:03:53,522.0,,698.0,176.0,79.0,8.0,269.0,4031.0,A python wrapper for Alpha Vantage API for financial data.,42.0,28,True,2020-12-21 02:37:29.000,2.3.1,34.0,alpha_vantage,conda-forge/alpha_vantage,,,,440.0,411.0,https://pypi.org/project/alpha_vantage,2020-12-21 02:36:15.000,29.0,24181.0,24352.0,https://anaconda.org/conda-forge/alpha_vantage,2023-06-16 19:24:19.804,5643.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+372,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2023-08-21 13:36:56.000000,2021-05-10 18:34:53,57.0,,404.0,39.0,55.0,118.0,43.0,3873.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,28,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,,['pytorch'],11294.0,11188.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,106.0,128595.0,128595.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+373,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2023-06-16 19:28:08.623000,2023-02-17 16:34:52,3273.0,,510.0,122.0,361.0,67.0,728.0,3844.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",70.0,28,True,,,12.0,dedupe,conda-forge/dedupe,,,,296.0,296.0,https://pypi.org/project/dedupe,,,73527.0,75357.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,40269.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+374,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2023-06-16 13:24:02.087000,2023-02-26 20:07:33,189.0,,445.0,72.0,37.0,9.0,121.0,3678.0,Missing data visualization module for Python.,18.0,28,True,2023-02-26 20:11:48.000,0.5.2,6.0,missingno,conda-forge/missingno,,,,13356.0,13356.0,https://pypi.org/project/missingno,,,383320.0,387444.0,https://anaconda.org/conda-forge/missingno,2023-06-16 13:24:02.087,309347.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+375,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2023-10-14 16:51:24.000000,2023-08-11 07:20:07,437.0,4.0,507.0,115.0,83.0,17.0,98.0,3270.0,Module for automatic summarization of text documents and HTML pages.,28.0,28,True,2022-10-23 16:40:03.000,0.11.0,15.0,sumy,conda-forge/sumy,,,,2231.0,2231.0,https://pypi.org/project/sumy,,,26656.0,26902.0,https://anaconda.org/conda-forge/sumy,2023-06-16 19:26:28.563,6903.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+376,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2023-10-25 19:52:19.000000,2023-09-22 20:27:40,1342.0,150.0,336.0,72.0,1230.0,43.0,76.0,3224.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,34.0,28,True,2023-09-22 20:32:27.000,1.0.1,10.0,lit-nlp,conda-forge/lit-nlp,,,,25.0,24.0,https://pypi.org/project/lit-nlp,2023-09-22 19:33:00.000,1.0,3353.0,5110.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,65022.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+377,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2023-10-23 13:19:15.000000,2023-10-20 08:00:02,1192.0,13.0,396.0,82.0,53.0,56.0,201.0,3217.0,A library of reinforcement learning components and agents.,84.0,28,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],174.0,171.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,1041.0,1261.0,https://anaconda.org/conda-forge/dm-acme,2023-06-16 19:23:44.096,7711.0,,,,,2.0,,,,,,,,google-deepmind/acme,,,,,,,,,,,,
+378,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,,2021-10-11 14:48:38.000,2023-10-23 12:29:14.000000,2023-10-17 11:28:03,1465.0,16.0,221.0,16.0,1670.0,242.0,720.0,3079.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,50.0,28,False,2023-10-11 15:32:25.000,0.17.5,58.0,deepchecks,,,,,282.0,282.0,https://pypi.org/project/deepchecks,,,41541.0,41572.0,,,,,,,,2.0,764.0,,,,,,,,,,,,,,,,,,,
+379,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2023-09-25 11:28:13.000000,2022-01-25 17:32:20,4123.0,,357.0,80.0,62.0,151.0,186.0,3039.0,a library for audio and music analysis.,24.0,28,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,430.0,403.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,27.0,4189.0,12177.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,631096.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+380,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2023-09-14 20:07:18.000000,2021-10-29 06:15:49,2535.0,,412.0,65.0,932.0,315.0,745.0,2790.0,StellarGraph - Machine Learning on Graphs.,36.0,28,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,,['tensorflow'],245.0,237.0,https://pypi.org/project/stellargraph,2018-09-14 03:43:24.000,8.0,4632.0,4632.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+381,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2023-09-26 21:01:12.000000,2023-09-26 21:01:10,548.0,8.0,468.0,97.0,43.0,82.0,240.0,2674.0,Learning to Rank in TensorFlow.,33.0,28,True,2023-08-11 17:56:48.000,0.5.3,22.0,tensorflow_ranking,,,,['tensorflow'],13.0,,https://pypi.org/project/tensorflow_ranking,2023-08-11 17:56:48.000,13.0,102796.0,102796.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+382,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2023-10-12 19:17:55.000000,2023-09-20 12:36:49,1468.0,27.0,293.0,41.0,306.0,33.0,142.0,2475.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,35.0,28,True,2023-09-20 13:10:11.000,2.3.7,35.0,shapash,,,,['jupyter'],129.0,127.0,https://pypi.org/project/shapash,2023-09-20 13:10:11.000,2.0,6962.0,6962.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+383,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2023-10-11 12:01:23.000000,2023-10-11 12:01:14,1463.0,76.0,562.0,42.0,27.0,2.0,326.0,2415.0,An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.,28.0,28,True,2023-09-21 04:12:03.000,2.2.7,111.0,deepke,,,,['pytorch'],19.0,19.0,https://pypi.org/project/deepke,2023-09-21 04:12:03.000,,504.0,504.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+384,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2023-09-13 13:50:05.000000,2018-08-19 12:37:47,130.0,,282.0,66.0,59.0,26.0,39.0,2359.0,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'],4063.0,3990.0,https://pypi.org/project/scikit-plot,2018-08-19 12:25:39.290,73.0,418113.0,420315.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,165188.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+385,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,304.0,66.0,14.0,28.0,46.0,2161.0,Stand-alone language identification system.,9.0,28,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,8038.0,7846.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000,192.0,339147.0,339147.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+386,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,,154.0,25.0,81.0,41.0,34.0,1593.0,A Python package for time series classification.,14.0,28,True,2023-06-18 12:34:19.000,0.13.0,8.0,pyts,conda-forge/pyts,,,,478.0,478.0,https://pypi.org/project/pyts,,,126156.0,127046.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,21382.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+387,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2023-10-26 11:34:36.000000,2023-10-25 22:23:22,1339.0,131.0,284.0,29.0,1354.0,15.0,95.0,1553.0,Pytorch domain library for recommendation systems.,179.0,28,True,2023-10-05 17:21:59.000,0.5.0,9.0,torchrec-nightly-cpu,,,,,70.0,70.0,https://pypi.org/project/torchrec-nightly-cpu,,,61.0,61.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+388,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-09-26 07:49:38.000000,2023-09-26 07:34:28,1378.0,16.0,309.0,28.0,375.0,89.0,120.0,1543.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,28,True,2023-09-26 07:49:38.000,2.2.6,21.0,pgl,,,,['paddle'],47.0,45.0,https://pypi.org/project/pgl,2023-09-26 07:49:38.000,2.0,1836.0,1836.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+389,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2023-10-10 05:06:29.000000,2023-09-06 00:50:44,697.0,3.0,294.0,43.0,349.0,71.0,187.0,1502.0,Training PyTorch models with differential privacy.,73.0,28,True,2023-03-24 16:01:05.890,1.4.0,20.0,opacus,conda-forge/opacus,,,['pytorch'],689.0,672.0,https://pypi.org/project/opacus,2022-05-06 09:43:18.000,17.0,31054.0,31627.0,https://anaconda.org/conda-forge/opacus,2023-06-18 08:40:32.992,11997.0,,,,,2.0,103.0,,,,,,,,,,,,,,,,,,,
+390,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2023-10-10 21:15:24.000000,2023-10-10 21:15:24,946.0,6.0,567.0,106.0,280.0,11.0,300.0,1451.0,Execute Python code on the fly and display results in Tableau visualizations:.,49.0,28,True,2023-06-28 20:49:21.000,2.9.0,31.0,tabpy,anaconda/tabpy-client,,,,146.0,144.0,https://pypi.org/project/tabpy,2023-01-30 23:34:02.112,2.0,15247.0,15303.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4422.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+391,metric-learn,scikit-learn-contrib/metric-learn,others,,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000,2023-10-09 07:21:10.000000,2023-09-29 00:13:39,295.0,9.0,257.0,50.0,184.0,54.0,120.0,1348.0,Metric learning algorithms in Python.,22.0,28,True,2023-10-09 04:53:59.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],320.0,308.0,https://pypi.org/project/metric-learn,2023-10-09 04:53:59.000,12.0,8482.0,8754.0,https://anaconda.org/conda-forge/metric-learn,2023-10-09 05:53:11.819,10621.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+392,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2023-10-24 23:50:40.000000,2023-10-24 23:50:37,1007.0,39.0,106.0,25.0,113.0,26.0,51.0,1191.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",22.0,28,True,2023-10-05 02:21:28.000,1.4.1,44.0,imodels,,,,,61.0,57.0,https://pypi.org/project/imodels,2023-10-05 02:20:48.000,4.0,137561.0,137561.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+393,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2023-06-16 19:18:39.600000,2023-04-20 04:36:19,526.0,,401.0,51.0,37.0,17.0,139.0,1184.0,"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,,,,2318.0,2285.0,https://pypi.org/project/kmodes,2022-04-14 21:22:39.000,33.0,152369.0,153257.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,37315.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+394,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2023-10-23 11:16:32.000000,2023-06-06 09:46:40,415.0,,324.0,40.0,299.0,23.0,200.0,1155.0,A research toolkit for particle swarm optimization in Python.,45.0,28,True,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,321.0,307.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,14.0,13235.0,13235.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+395,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2023-10-09 02:38:39.000000,2020-10-14 13:22:39,167.0,,336.0,71.0,84.0,27.0,26.0,1138.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,28,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1373.0,1229.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,144.0,21773.0,22141.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,25050.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+396,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 22:15:53.000,2023-10-20 18:47:48.968000,2023-10-13 15:13:59,1010.0,43.0,194.0,24.0,119.0,22.0,182.0,994.0,Survival analysis built on top of scikit-learn.,18.0,28,False,2023-10-08 12:32:19.000,0.22.1,26.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],361.0,361.0,https://pypi.org/project/scikit-survival,,,37914.0,40677.0,https://anaconda.org/conda-forge/scikit-survival,2023-10-20 18:47:48.968,63556.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+397,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2023-10-06 08:58:18.000000,2023-10-05 12:53:35,137.0,10.0,105.0,22.0,101.0,35.0,72.0,974.0,Python 3.8+ toolbox for submitting jobs to Slurm.,23.0,28,True,2023-10-05 12:58:13.000,1.5.0,22.0,submitit,conda-forge/submitit,,,,1704.0,1689.0,https://pypi.org/project/submitit,2023-10-05 12:58:13.000,15.0,155665.0,156509.0,https://anaconda.org/conda-forge/submitit,2023-10-05 15:20:30.342,32084.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+398,scikit-multilearn,scikit-multilearn/scikit-multilearn,sklearn-utils,,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000,2023-08-25 16:48:20.000000,2023-04-19 21:43:19,547.0,,167.0,35.0,85.0,88.0,122.0,875.0,A scikit-learn based module for multi-label et. al. classification.,28.0,28,True,2018-12-10 16:24:47.000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],1324.0,1300.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,24.0,75016.0,75016.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+399,dask-ml,dask/dask-ml,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000,2023-06-27 23:50:02.000000,2023-03-24 22:04:13,811.0,,241.0,41.0,502.0,266.0,252.0,869.0,Scalable Machine Learning with Dask.,77.0,28,True,2023-03-24 22:06:04.422,2023.3.24,35.0,dask-ml,conda-forge/dask-ml,,,,953.0,881.0,https://pypi.org/project/dask-ml,2020-05-06 15:02:41.000,72.0,367905.0,378709.0,https://anaconda.org/conda-forge/dask-ml,2023-06-16 13:24:06.152,777901.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+400,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2023-10-26 06:41:24.000000,2023-10-25 16:32:30,1281.0,18.0,122.0,27.0,414.0,7.0,120.0,756.0,A Comparative Framework for Multimodal Recommender Systems.,17.0,28,True,2023-10-20 02:59:14.000,1.17.0,53.0,cornac,conda-forge/cornac,,,,192.0,176.0,https://pypi.org/project/cornac,2023-10-20 03:18:35.000,16.0,107297.0,115385.0,https://anaconda.org/conda-forge/cornac,2023-10-25 04:30:35.094,323532.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+401,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/JoaquinAmatRodrigo/skforecast,https://github.com/JoaquinAmatRodrigo/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2023-10-25 21:37:07.000000,2023-10-15 19:09:05,2446.0,213.0,86.0,11.0,472.0,18.0,82.0,695.0,Time series forecasting with scikit-learn models.,8.0,28,True,2023-09-27 09:35:25.000,0.10.1,24.0,skforecast,,,,['sklearn'],200.0,194.0,https://pypi.org/project/skforecast,2023-09-26 12:13:41.000,6.0,37736.0,37736.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+402,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 21:02:09.000,2023-10-24 22:37:30.000000,2023-10-24 22:37:29,824.0,46.0,123.0,30.0,83.0,27.0,75.0,565.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,19.0,28,True,2023-08-10 00:37:12.000,1.14.0,42.0,ml-metadata,,,,,381.0,359.0,https://pypi.org/project/ml-metadata,2023-08-10 00:37:12.000,22.0,96125.0,96163.0,,,,,,,,3.0,2118.0,,,,,,,,,,,,,,,,,,,
+403,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000,2023-10-15 23:30:30.000000,2023-10-06 15:47:51,6642.0,195.0,133.0,36.0,383.0,45.0,123.0,354.0,Neuroimaging in Python FMRI analysis package.,67.0,28,True,2021-03-29 16:34:34.000,0.5.0,7.0,nipy,conda-forge/nipy,,,,260.0,210.0,https://pypi.org/project/nipy,2021-03-29 16:34:34.000,50.0,2144.0,3552.0,https://anaconda.org/conda-forge/nipy,2023-06-16 13:21:17.395,105618.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+404,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2023-08-31 08:45:10.000000,2020-01-31 13:06:18,347.0,,3808.0,653.0,371.0,409.0,435.0,14884.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,27,False,,,,baselines,,,,,528.0,528.0,https://pypi.org/project/baselines,,,1056.0,1056.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+405,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2023-10-26 15:13:10.000000,2023-10-18 06:29:12,1913.0,285.0,753.0,98.0,1990.0,138.0,623.0,13408.0,"Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud..",70.0,27,True,2023-10-11 18:42:02.000,1.6.1,57.0,,,,,,,,,,,,62.0,,,,,,,,2.0,1880.0,,,,,,,,,,,,,,,,,,,
+406,pysc2,deepmind/pysc2,others,,https://github.com/google-deepmind/pysc2,https://github.com/google-deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2023-07-09 00:54:49.000000,2023-04-19 16:47:52,581.0,,1153.0,351.0,79.0,47.0,231.0,7820.0,StarCraft II Learning Environment.,39.0,27,True,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,639.0,613.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,1617.0,2032.0,,,,,,,,3.0,30718.0,,,,,,,google-deepmind/pysc2,,,,,,,,,,,,
+407,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-02-18 07:58:21.000000,2023-02-18 07:58:21,3353.0,,1642.0,462.0,698.0,32.0,441.0,7242.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,134.0,27,True,2022-02-15 02:05:47.000,2.2.5,83.0,tensorlayer,,,,['tensorflow'],40.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,40.0,1370.0,1390.0,,,,,,,,2.0,1724.0,,,,,,,,,,,,,,,,,,,
+408,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2023-01-19 00:37:33.000000,2023-01-19 00:37:33,900.0,,1198.0,156.0,950.0,60.0,781.0,5650.0,Gluon CV Toolkit.,118.0,27,True,2021-03-09 00:20:06.000,0.10.0,10.0,gluoncv,,,,['mxnet'],21.0,21.0,https://pypi.org/project/gluoncv,,,50990.0,50990.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+409,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2023-10-23 02:26:28.000000,2020-05-03 07:13:22,108.0,,609.0,140.0,31.0,66.0,53.0,5463.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,27,False,,,18.0,flashtext,conda-forge/flashtext,,,,1405.0,1359.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,46.0,1023386.0,1023845.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,17919.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+410,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2023-10-16 20:29:38.000000,2023-03-29 07:02:37,553.0,,867.0,123.0,63.0,136.0,74.0,4965.0,Image augmentation library in Python for machine learning.,23.0,27,True,2023-03-29 07:06:01.465,0.2.12,24.0,Augmentor,,,,,686.0,657.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,29.0,11501.0,11501.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+411,layout-parser,Layout-Parser/layout-parser,image,,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000,2023-09-19 00:32:03.000000,2022-08-06 21:47:18,182.0,,402.0,66.0,56.0,86.0,55.0,4024.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,27,False,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,625.0,621.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,4.0,114592.0,114592.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+412,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,,964.0,282.0,227.0,12.0,355.0,3857.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,27,True,2022-04-21 20:41:22.000,2.2.5,32.0,tensorflowonspark,conda-forge/tensorflowonspark,,,"['tensorflow', 'spark']",5.0,,https://pypi.org/project/tensorflowonspark,2022-04-21 20:05:56.000,5.0,461160.0,461600.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,20243.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+413,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2023-10-25 15:45:19.000000,2023-09-01 03:04:11,1137.0,1.0,687.0,59.0,1010.0,119.0,735.0,3764.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",85.0,27,True,2023-07-04 07:11:53.000,1.0.1,20.0,mmocr,,,,['pytorch'],89.0,89.0,https://pypi.org/project/mmocr,,,5534.0,5534.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+414,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2023-08-14 20:14:15.000000,2023-08-14 20:14:08,2108.0,6.0,538.0,146.0,237.0,34.0,631.0,3250.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,84.0,27,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,,['tensorflow'],431.0,429.0,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,2.0,541.0,541.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+415,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2023-10-20 18:50:06.000000,2023-08-26 22:58:04,470.0,1.0,459.0,36.0,491.0,6.0,,3142.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,31.0,27,True,2023-05-15 21:12:01.327,0.11.14,100.0,sahi,conda-forge/sahi,,,,699.0,690.0,https://pypi.org/project/sahi,2022-06-25 20:18:21.000,9.0,107184.0,109860.0,https://anaconda.org/conda-forge/sahi,2023-06-16 19:27:36.658,50007.0,,,,,3.0,19006.0,,,,,,,,,,,,,,,,,,,
+416,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2023-06-05 03:00:37.000000,2022-12-13 03:52:09,2484.0,,455.0,84.0,245.0,61.0,154.0,2991.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,27,True,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,,164.0,162.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,2.0,21653.0,21654.0,,,,,,,,2.0,75.0,,,,,,,,,,,,,,,,,,,
+417,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2023-10-23 21:02:38.000000,2023-10-23 18:46:19,2354.0,123.0,678.0,164.0,60.0,7.0,658.0,2947.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,28.0,27,True,2023-10-23 21:02:38.000,1.6.0,20.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,906.0,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,58003.0,,,,,3.0,4685.0,,,,,,,,,,,,3.0,,,,,,,
+418,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2022-02-11 16:25:24.000000,2021-02-25 05:05:09,452.0,,645.0,111.0,73.0,88.0,123.0,2903.0,Productivity Tools for Plotly + Pandas.,39.0,27,False,,,,cufflinks,,,,['pandas'],9318.0,9318.0,https://pypi.org/project/cufflinks,,,79985.0,79985.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+419,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2023-10-24 00:01:08.000000,2023-10-24 00:01:08,1568.0,13.0,238.0,47.0,2006.0,4.0,637.0,2772.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,33.0,27,True,2023-09-15 03:06:04.000,1.1.2,15.0,towhee,,,,,,,https://pypi.org/project/towhee,,,8084.0,8200.0,,,,,,,,3.0,2569.0,,,,,,,,,,,,,,,,,,,
+420,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2023-06-16 13:18:29.838000,2020-01-22 07:39:36,1198.0,,329.0,67.0,167.0,164.0,112.0,2688.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,False,2022-05-11 09:37:12.000,0.13.0,30.0,eli5,conda-forge/eli5,,,,90.0,,https://pypi.org/project/eli5,2022-05-11 09:37:12.000,90.0,442612.0,444487.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,144382.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+421,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2023-06-16 16:15:26.623000,2023-05-16 07:26:21,1020.0,,409.0,129.0,129.0,189.0,245.0,2569.0,PYthon svg GrAph plotting Library.,73.0,27,False,2021-11-24 21:09:00.501,3.0.0,76.0,pygal,conda-forge/pygal,,,,635.0,,https://pypi.org/project/pygal,2021-11-24 21:09:00.501,635.0,183454.0,184115.0,https://anaconda.org/conda-forge/pygal,2023-06-16 16:15:26.623,34407.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+422,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2023-06-16 19:20:41.396000,2022-05-25 09:55:55,1696.0,,413.0,44.0,347.0,32.0,344.0,2562.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",32.0,27,False,2022-04-02 15:26:45.000,3.3.3,70.0,foolbox,conda-forge/foolbox,,,,541.0,527.0,https://pypi.org/project/foolbox,2022-04-02 15:26:45.000,14.0,1740.0,2051.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,12140.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+423,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2023-10-26 12:36:30.000000,2023-10-24 14:45:10,3435.0,20.0,504.0,109.0,337.0,385.0,649.0,2529.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",79.0,27,False,2015-03-31 16:33:30.000,2.0,19.0,essentia,,,,,533.0,517.0,https://pypi.org/project/essentia,2023-01-11 14:10:02.525,16.0,4393.0,4393.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+424,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2023-10-25 22:40:59.000000,2023-07-23 14:42:27,191.0,,440.0,37.0,237.0,52.0,264.0,2308.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,27,True,2023-07-23 13:34:05.000,4.1.0,19.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],11.0,,https://pypi.org/project/pytorch-tabnet,2023-07-23 13:26:57.000,11.0,33330.0,33587.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-06-16 19:28:15.390,5668.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+425,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2023-06-01 22:20:25.000000,2023-06-01 22:10:29,1131.0,,335.0,44.0,57.0,64.0,200.0,2297.0,Graph Neural Networks with Keras and Tensorflow 2.,27.0,27,True,2023-06-01 22:20:25.000,1.3,34.0,spektral,,,,['tensorflow'],242.0,236.0,https://pypi.org/project/spektral,2023-06-01 22:17:00.684,6.0,4379.0,4379.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+426,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,,317.0,66.0,38.0,96.0,160.0,2165.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,True,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],350.0,326.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,24.0,11263.0,11263.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+427,Neural Tangents,google/neural-tangents,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000,2023-09-30 17:24:12.000000,2023-09-30 17:24:05,635.0,29.0,234.0,67.0,31.0,60.0,90.0,2119.0,Fast and Easy Infinite Neural Networks in Python.,27.0,27,True,2023-08-25 00:01:21.000,0.6.4,30.0,neural-tangents,,,,,84.0,83.0,https://pypi.org/project/neural-tangents,2023-08-24 23:48:46.000,1.0,2042.0,2050.0,,,,,,,,3.0,330.0,,,,,,,,,,,,,,,,,,,
+428,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2023-09-09 21:39:29.000000,2021-07-09 11:06:18,56.0,,484.0,40.0,24.0,66.0,38.0,2052.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",15.0,27,False,2021-07-09 11:16:39.000,0.1.1,11.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],4200.0,4149.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000,51.0,53101.0,53341.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,10560.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+429,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2023-10-24 18:55:48.000000,2023-10-24 18:54:45,847.0,27.0,432.0,62.0,308.0,113.0,91.0,1818.0,Library for training machine learning models with privacy for training data.,56.0,27,True,2023-10-11 15:51:39.000,0.8.12,30.0,tensorflow-privacy,,,,['tensorflow'],14.0,,https://pypi.org/project/tensorflow-privacy,2023-10-11 15:51:39.000,14.0,17301.0,17303.0,,,,,,,,2.0,121.0,,,,,,,,,,,,,,,,,,,
+430,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-10-25 15:56:37.000000,2022-08-31 09:45:24,594.0,,237.0,55.0,445.0,3.0,402.0,1694.0,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'],213.0,210.0,https://pypi.org/project/farm,2020-09-14 15:23:01.000,3.0,3339.0,3440.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,3049.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+431,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2023-06-16 16:16:35.554000,2022-08-31 01:52:51,509.0,,308.0,104.0,49.0,7.0,151.0,1567.0,Distributed Deep learning with Keras & Spark.,27.0,27,False,2023-03-15 02:28:00.464,4.1.0,38.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",76.0,73.0,https://pypi.org/project/elephas,2023-03-04 14:29:00.451,3.0,72021.0,72281.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,13038.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+432,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930.0,,318.0,74.0,742.0,54.0,168.0,1477.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:40.000,0.13.1,25.0,chainercv,,,,,401.0,371.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,30.0,1888.0,1888.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+433,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-10-06 01:33:53.000000,2023-05-16 13:01:43,657.0,,245.0,49.0,311.0,95.0,16.0,1473.0,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,27,True,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],895.0,862.0,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,33.0,29832.0,29832.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+434,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2023-09-20 03:33:51.000000,2023-08-22 14:21:42,580.0,44.0,302.0,52.0,115.0,54.0,29.0,1421.0,Interpretability and explainability of data and machine learning models.,41.0,27,True,2023-07-31 18:54:38.000,0.3.0,5.0,aix360,,,,,86.0,85.0,https://pypi.org/project/aix360,2023-07-31 18:54:38.000,1.0,962.0,962.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+435,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2023-10-26 13:51:27.000000,2023-10-26 12:40:03,6147.0,125.0,254.0,47.0,2396.0,307.0,1315.0,1397.0,cuGraph - RAPIDS Graph Analytics Library.,104.0,27,True,2023-10-11 18:08:26.000,23.10.00,32.0,cugraph,conda-forge/libcugraph,,,,4.0,2.0,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,2.0,153.0,722.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,17081.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+436,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2023-10-16 07:24:32.000000,2023-06-07 07:35:59,3033.0,,118.0,37.0,326.0,11.0,187.0,1397.0,Multi-class confusion matrix library in Python.,17.0,27,True,2023-06-07 14:06:28.000,4.0,44.0,pycm,,,,,261.0,245.0,https://pypi.org/project/pycm,2022-04-27 15:18:44.000,16.0,35554.0,35554.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+437,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2023-10-05 01:24:33.000000,2023-10-05 01:24:32,851.0,7.0,260.0,73.0,481.0,38.0,198.0,1249.0,Underthesea - Vietnamese NLP Toolkit.,18.0,27,False,2023-09-22 23:57:31.000,6.8.0,125.0,underthesea,,,,,848.0,822.0,https://pypi.org/project/underthesea,2023-09-22 23:50:49.000,26.0,9662.0,9729.0,,,,,,,,2.0,5196.0,,,,,,,,,,,,,,,,,,,
+438,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2023-10-11 02:15:19.000000,2023-10-11 02:15:18,1365.0,16.0,247.0,74.0,103.0,20.0,53.0,1214.0,Model analysis tools for TensorFlow.,56.0,27,True,2023-08-14 20:20:00.000,0.45.0,56.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/tensorflow-model-analysis,,,272832.0,272832.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+439,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2023-10-05 17:24:24.000000,2023-09-05 02:07:57,4200.0,4.0,285.0,84.0,638.0,14.0,605.0,1198.0,PySAL: Python Spatial Analysis Library Meta-Package.,78.0,27,True,2023-08-01 02:38:24.000,23.07,33.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2023-08-01 02:39:38.000,36.0,21901.0,35301.0,https://anaconda.org/conda-forge/pysal,2023-10-04 23:43:19.864,522609.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+440,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2023-10-25 17:26:07.000000,2021-10-21 17:45:17,202.0,,174.0,26.0,36.0,2.0,114.0,1194.0,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,27,False,2021-03-30 16:22:41.000,0.5.5,5.0,fancyimpute,,,,['sklearn'],1453.0,1453.0,https://pypi.org/project/fancyimpute,,,23389.0,23389.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+441,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2023-10-26 11:34:14.000000,2023-09-10 06:51:22,1752.0,6.0,183.0,42.0,256.0,59.0,211.0,1158.0,Python audio and music signal processing library.,20.0,27,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,402.0,369.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,33.0,3010.0,3010.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+442,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2023-10-26 10:52:10.000000,2023-10-24 15:13:22,472.0,18.0,103.0,22.0,311.0,30.0,251.0,1069.0,Extra blocks for scikit-learn pipelines.,61.0,27,True,2023-10-17 19:17:47.000,0.6.16,34.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],117.0,117.0,https://pypi.org/project/scikit-lego,,,35901.0,36970.0,https://anaconda.org/conda-forge/scikit-lego,2023-07-19 07:17:55.286,43865.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+443,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2023-10-26 13:12:24.000000,2023-10-25 17:14:03,782.0,25.0,107.0,32.0,385.0,67.0,293.0,943.0,BAyesian Model-Building Interface (Bambi) in Python.,35.0,27,True,2023-10-25 02:04:11.000,0.13.0,23.0,bambi,conda-forge/bambi,,,,90.0,90.0,https://pypi.org/project/bambi,,,18562.0,19349.0,https://anaconda.org/conda-forge/bambi,2023-07-02 20:28:20.184,26782.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+444,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2023-10-09 20:45:50.000000,2023-03-10 19:47:48,1140.0,,236.0,63.0,244.0,22.0,340.0,924.0,Search and download Copernicus Sentinel satellite images.,43.0,27,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,,540.0,501.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,39.0,17582.0,18324.0,https://anaconda.org/conda-forge/sentinelsat,2023-06-16 19:22:55.678,26629.0,,,,,3.0,261.0,,,,,,,,,,,,,,,,,,,
+445,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2023-06-16 13:16:30.947000,2023-02-20 00:24:10,1723.0,,185.0,39.0,173.0,61.0,174.0,902.0,A Jupyter - Three.js bridge.,30.0,27,True,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],95.0,28.0,https://pypi.org/project/pythreejs,2023-02-20 00:24:01.104,56.0,61166.0,70713.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,512592.0,,,,,3.0,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2023-02-20 00:16:17.277,11.0,3788.0,,,,,,,,,,,,,
+446,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2023-10-25 03:39:55.000000,2023-10-24 22:48:49,1384.0,581.0,40.0,12.0,243.0,20.0,44.0,832.0,"Fastest Open-Source Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java,..",23.0,27,True,2023-10-24 23:35:22.000,2.8.1,91.0,usearch,,unum/usearch,,,25.0,21.0,https://pypi.org/project/usearch,2023-10-25 03:39:55.000,1.0,39601.0,45978.0,,,,https://hub.docker.com/r/unum/usearch,2023-10-24 22:49:54.394069,1.0,41.0,3.0,345.0,,usearch,https://www.npmjs.com/package/usearch,2023-10-24 22:50:09.420,3.0,6303.0,,,,,,,,,,,,,
+447,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2023-07-26 22:41:29.989000,2023-06-09 22:11:37,1299.0,,149.0,49.0,56.0,21.0,65.0,812.0,Computer Vision in Python.,34.0,27,True,2022-06-28 14:25:55.000,1.4.13,59.0,mahotas,conda-forge/mahotas,,,,1260.0,1133.0,https://pypi.org/project/mahotas,2022-06-28 08:11:26.000,127.0,8505.0,18176.0,https://anaconda.org/conda-forge/mahotas,2023-07-26 22:41:29.989,386843.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+448,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2023-10-23 22:54:26.000000,2023-03-06 13:54:05,3661.0,,318.0,68.0,673.0,39.0,517.0,803.0,The Classical Language Toolkit.,120.0,27,True,2021-06-10 16:34:40.000,1.0.15,67.0,cltk,,,,,248.0,248.0,https://pypi.org/project/cltk,,,1794.0,1794.0,,,,,,,,2.0,42.0,,,,,,,,,,,,,,,,,,,
+449,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2023-10-13 07:25:01.000000,2023-10-13 07:25:01,516.0,13.0,150.0,31.0,168.0,8.0,97.0,532.0,Machine learning for multivariate data analysis through the Riemannian geometry of symmetric or Hermitian positive..,28.0,27,True,2023-06-20 08:57:52.000,0.5,11.0,pyriemann,conda-forge/pyriemann,,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],298.0,281.0,https://pypi.org/project/pyriemann,2022-07-17 13:53:18.565,17.0,28381.0,28655.0,https://anaconda.org/conda-forge/pyriemann,2023-06-20 10:39:38.006,4398.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+450,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2023-10-18 09:46:25.000000,2023-10-13 13:35:38,779.0,9.0,71.0,27.0,348.0,110.0,221.0,519.0,"Simple, concise geographical visualization in Python.",29.0,27,True,2023-07-20 16:57:49.000,1.10.1,51.0,geoviews,conda-forge/geoviews,,,,821.0,786.0,https://pypi.org/project/geoviews,2023-07-20 15:18:17.000,35.0,7852.0,13257.0,https://anaconda.org/conda-forge/geoviews,2023-07-21 08:46:51.180,199990.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+451,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2023-10-14 18:53:31.974373,2023-10-12 07:20:40,1894.0,1.0,857.0,217.0,453.0,50.0,264.0,14215.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",48.0,26,True,2021-06-06 17:14:16.000,5.14.0,29.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,,,48681.0,49089.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-10-14 18:53:31.974373,14.0,20823.0,3.0,,,,,,,,,,,,,,,,,,,,
+452,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2023-10-04 22:41:52.749000,,,,700.0,,,511.0,,7112.0,NumPy & SciPy for GPU.,257.0,26,True,2023-08-08 06:14:47.000,12.2.0,136.0,cupy,conda-forge/cupy,cupy/cupy,,,201.0,,https://pypi.org/project/cupy,2023-08-08 06:14:47.000,201.0,19406.0,96833.0,https://anaconda.org/conda-forge/cupy,2023-10-04 22:41:52.749,3145907.0,https://hub.docker.com/r/cupy/cupy,2023-08-15 12:32:31.435488,11.0,57960.0,3.0,,,,,,,,,,,,,,,,,,,,
+453,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2023-10-03 15:31:03.000000,2022-09-22 23:59:07,1084.0,,979.0,185.0,327.0,334.0,292.0,5756.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,26,False,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,115.0,112.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,3.0,420.0,472.0,,,,,,,,2.0,3707.0,,,,,,,,,,,,,,,,,,,
+454,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2023-10-26 08:59:53.000000,2023-09-20 10:18:52,11547.0,43.0,1521.0,142.0,3374.0,791.0,1018.0,5249.0,An Industrial Grade Federated Learning Framework.,92.0,26,True,2023-09-12 07:58:53.000,1.11.3,46.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+455,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2023-07-29 21:28:21.000000,2023-07-05 18:14:28,901.0,,548.0,105.0,617.0,89.0,606.0,4103.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,26,True,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],81.0,,https://pypi.org/project/yellowbrick,2022-08-21 16:11:55.287,81.0,412247.0,414114.0,https://anaconda.org/conda-forge/yellowbrick,2023-06-16 19:21:13.554,70977.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+456,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2023-10-24 03:22:22.000000,2023-09-20 14:45:40,248.0,1.0,799.0,51.0,49.0,61.0,106.0,3799.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,16.0,26,True,2023-04-07 19:27:35.000,2.5.3,32.0,facenet-pytorch,,,,['pytorch'],1353.0,1334.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000,19.0,27780.0,42588.0,,,,,,,,3.0,696002.0,,,,,,,,,,,,,,,,,,,
+457,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2023-10-13 15:39:37.000000,2023-10-13 15:09:00,448.0,4.0,264.0,46.0,438.0,57.0,245.0,3233.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,39.0,26,True,2023-07-12 16:55:59.000,0.4.9,22.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,3.0,,https://pypi.org/project/hummingbird-ml,2020-06-10 22:08:15.000,3.0,12701.0,13870.0,https://anaconda.org/conda-forge/hummingbird-ml,2023-07-12 18:59:37.482,36008.0,,,,,2.0,348.0,,,,,,,,,,,,,,,,,,,
+458,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2023-08-28 05:14:10.000000,2022-06-05 10:44:18,1342.0,,528.0,110.0,73.0,193.0,115.0,3070.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,26,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,135.0,123.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,2955.0,3018.0,,,,,,,,3.0,4254.0,,,,,,,,,,,,,,,,,,,
+459,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2023-06-16 13:22:38.816000,2020-12-08 16:56:38,17588.0,,1050.0,218.0,3648.0,429.0,1110.0,2976.0,Unified and efficient Machine Learning.,248.0,26,False,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,1719.0,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,128191.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1502.0,3.0,,,,,,,,,shogun,,,,,,,,,,,
+460,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2023-10-25 15:16:51.000000,2023-10-14 01:03:28,4288.0,64.0,538.0,41.0,982.0,157.0,652.0,2883.0,"A unified, comprehensive and efficient recommendation library.",69.0,26,True,2022-10-05 02:45:00.000,1.1.1,9.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2022-02-25 07:32:53.000,2.0,2882.0,2999.0,https://anaconda.org/aibox/recbole,2023-06-16 19:23:31.659,4097.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+461,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2023-06-16 16:09:06.563000,2020-04-27 18:40:41,522.0,,1007.0,169.0,214.0,42.0,146.0,2854.0,Performance analysis of predictive (alpha) stock factors.,25.0,26,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,673.0,655.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,18.0,2239.0,2529.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,19747.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+462,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2023-10-25 14:45:59.000000,2023-10-11 19:24:30,416.0,3.0,768.0,90.0,263.0,165.0,92.0,2176.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",69.0,26,True,2022-09-03 03:41:16.000,0.5.0,10.0,aif360,conda-forge/aif360,,,,326.0,314.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000,12.0,6018.0,6211.0,https://anaconda.org/conda-forge/aif360,2023-10-14 06:57:34.052,7149.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+463,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2023-10-26 02:06:21.000000,2023-06-01 12:18:23,739.0,,341.0,42.0,42.0,94.0,56.0,2038.0,A modular active learning framework for Python.,20.0,26,True,2023-10-26 02:06:21.000,0.55.3953,351.0,modAL,,,,['sklearn'],20.0,17.0,https://pypi.org/project/modAL,2023-10-26 02:06:21.000,3.0,125814.0,125814.0,,,,,,,,3.0,29.0,,,,,,,,,,,,,,,,,,,
+464,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2023-09-27 23:50:48.000000,2023-07-11 07:11:36,210.0,,227.0,46.0,84.0,15.0,115.0,2010.0,A Python library that helps data scientists to infer causation rather than observing correlation.,35.0,26,True,2023-06-22 13:11:20.000,0.12.1,20.0,causalnex,,,,"['pytorch', 'sklearn']",99.0,99.0,https://pypi.org/project/causalnex,,,4831.0,4831.0,,,,,,,,3.0,,,,,,,,mckinsey/causalnex,,,,,,,,,,,,
+465,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2023-08-06 22:24:12.000000,2022-02-12 02:32:06,1636.0,,160.0,61.0,66.0,65.0,129.0,1789.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,26,False,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,338.0,328.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,10.0,502.0,502.0,,,,,,,,3.0,30.0,,,,,,,,,,,,,,,,,,,
+466,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-05-12 18:37:24.000000,2023-02-03 00:10:35,690.0,,275.0,41.0,494.0,172.0,151.0,1683.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,49.0,26,True,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,,146.0,138.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,8.0,29448.0,29454.0,,,,,,,,3.0,432.0,,,,,,,,,,,,,,,,,,,
+467,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2023-10-26 04:03:41.000000,2023-09-22 08:30:27,1443.0,136.0,110.0,29.0,101.0,18.0,20.0,1660.0,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,26,True,2023-09-10 04:20:57.000,0.4.168,144.0,labml,,,,,113.0,107.0,https://pypi.org/project/labml,2023-09-10 04:20:57.000,6.0,1735.0,1735.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+468,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2023-10-25 23:42:41.000000,2023-10-25 23:39:46,711.0,107.0,241.0,48.0,532.0,21.0,61.0,1567.0,A lightweight library for PyTorch training tools and utilities.,106.0,26,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,,['pytorch'],38.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,38.0,5879.0,5879.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+469,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2023-10-18 09:35:22.000000,2023-07-04 11:04:34,170.0,,178.0,30.0,18.0,4.0,76.0,1473.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",14.0,26,True,,,34.0,autoviz,conda-forge/autoviz,,,,564.0,564.0,https://pypi.org/project/autoviz,,,421222.0,422876.0,https://anaconda.org/conda-forge/autoviz,2023-07-21 21:17:07.584,43025.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+470,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2023-10-08 23:17:48.968000,2023-10-05 18:36:18,1029.0,1.0,164.0,18.0,62.0,24.0,313.0,1366.0,PyTorch Extension Library of Optimized Scatter Operations.,28.0,26,True,2023-10-06 08:49:07.000,2.1.2,32.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],77.0,,https://pypi.org/project/torch-scatter,2023-10-06 08:49:07.000,77.0,45754.0,51375.0,https://anaconda.org/conda-forge/pytorch_scatter,2023-10-08 23:17:48.968,224858.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+471,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2023-10-20 18:31:58.000000,2023-10-07 11:26:54,2816.0,22.0,166.0,27.0,658.0,109.0,429.0,1362.0,A Python library for learning and evaluating knowledge graph embeddings.,36.0,26,True,2023-02-22 18:29:02.145,1.10.1,46.0,pykeen,,,,,5.0,,https://pypi.org/project/pykeen,2023-02-22 18:29:02.145,5.0,4068.0,4072.0,,,,,,,,2.0,175.0,,,,,,,,,,,,,,,,,,,
+472,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2023-10-24 10:43:29.000000,2023-10-24 10:43:29,519.0,7.0,396.0,32.0,43.0,13.0,116.0,1302.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,26.0,26,False,2023-03-02 15:10:38.000,2.3.1,24.0,minisom,,,,,480.0,461.0,https://pypi.org/project/minisom,2022-02-25 07:49:30.000,19.0,25001.0,25001.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+473,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2023-08-21 19:22:07.000000,2023-08-21 19:22:07,680.0,9.0,143.0,25.0,123.0,2.0,126.0,1274.0,"Extensible, parallel implementations of t-SNE.",11.0,26,True,2023-05-24 13:51:37.000,1.0.0,20.0,opentsne,conda-forge/opentsne,,,,671.0,671.0,https://pypi.org/project/opentsne,,,24896.0,28805.0,https://anaconda.org/conda-forge/opentsne,2023-06-16 16:12:36.657,226753.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+474,Streamz,python-streamz/streamz,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000,2023-06-16 13:22:22.238000,2022-12-22 14:52:10,805.0,,142.0,36.0,214.0,109.0,152.0,1191.0,Real-time stream processing for python.,48.0,26,True,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,466.0,429.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,37.0,17436.0,27506.0,https://anaconda.org/conda-forge/streamz,2023-06-16 13:22:22.238,735164.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+475,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2023-09-25 14:05:54.000000,2023-07-30 07:05:58,66.0,1.0,287.0,57.0,62.0,11.0,108.0,1186.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,9.0,26,True,2023-07-30 07:07:37.000,0.6.2,24.0,stockstats,,,,,972.0,943.0,https://pypi.org/project/stockstats,2023-07-30 07:07:37.000,29.0,9384.0,9384.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+476,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-10-12 14:57:26.000000,2023-10-12 14:56:47,1107.0,5.0,231.0,39.0,67.0,51.0,205.0,1179.0,A toolbox to iNNvestigate neural networks predictions!.,20.0,26,True,2023-10-12 14:58:48.000,2.1.2,6.0,innvestigate,,,,['tensorflow'],109.0,109.0,https://pypi.org/project/innvestigate,,,833.0,838.0,,,,,,,,3.0,81.0,,,,,,,,,,,,,,,,,,,
+477,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/google-deepmind/rlax,https://github.com/google-deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2023-10-17 16:27:57.000000,2023-10-17 16:27:51,207.0,3.0,79.0,33.0,107.0,12.0,18.0,1109.0,A library of reinforcement learning building blocks in JAX.,21.0,26,True,2023-06-29 15:05:00.621,0.1.6,10.0,rlax,,,,['jax'],174.0,172.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,2.0,341260.0,341260.0,,,,,,,,3.0,,,,,,,,google-deepmind/rlax,,,,,,,,,,,,
+478,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2023-10-23 12:00:58.000000,2023-08-01 13:02:51,2070.0,1.0,197.0,43.0,578.0,74.0,427.0,920.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,41.0,26,False,2023-08-01 13:38:54.000,2.0.2,47.0,smac,conda-forge/smac,,,,43.0,,https://pypi.org/project/smac,2023-08-01 13:30:07.000,43.0,26685.0,27242.0,https://anaconda.org/conda-forge/smac,2023-08-11 21:35:06.370,17273.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+479,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2023-10-26 15:01:58.000000,2023-10-26 07:12:04,1336.0,215.0,49.0,13.0,326.0,8.0,390.0,842.0,"Open-source toolkit for training, fine-tuning, and deploying generative AI models on multiple clouds...",13.0,26,True,2023-10-18 09:11:30.000,0.12.0,34.0,dstack,,,,,13.0,13.0,https://pypi.org/project/dstack,,,1295.0,1295.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+480,tinytag,devsnd/tinytag,audio,,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000,2023-10-23 17:05:13.000000,2023-10-23 17:04:47,459.0,18.0,99.0,23.0,85.0,13.0,94.0,627.0,"Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave and AIFF files with python 2..",26.0,26,True,2023-10-18 13:19:35.000,1.10.0,39.0,tinytag,,,,,111.0,,https://pypi.org/project/tinytag,2023-10-18 13:19:35.000,111.0,17063.0,17063.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+481,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2023-08-10 03:20:53.000000,2023-08-10 03:20:53,1214.0,78.0,60.0,7.0,206.0,18.0,109.0,472.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,26,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,,['huggingface'],208.0,203.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,3558.0,3558.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+482,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-01-09 00:12:07.000000,2021-02-12 10:36:31,2184.0,,1103.0,177.0,212.0,19.0,533.0,8088.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,25,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,21.0,21.0,,,,,225.0,,,,,,,,3.0,7444.0,,,,,,,,,,,,,,,,,,,
+483,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2023-10-23 21:05:10.000000,2023-10-23 21:05:04,1616.0,2.0,808.0,146.0,1558.0,114.0,125.0,7766.0,Trax Deep Learning with Clear Code and Speed.,79.0,25,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,122.0,121.0,https://pypi.org/project/trax,2021-10-26 20:29:00.538,1.0,4365.0,4365.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+484,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,,824.0,170.0,1588.0,145.0,74.0,6362.0,A natural language modeling framework based on PyTorch.,234.0,25,True,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,1.0,154.0,160.0,,,,,,,,3.0,348.0,,,,,,,,,,,,,,,,,,,
+485,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2023-10-26 14:57:03.000000,2023-10-26 14:02:39,3296.0,109.0,588.0,92.0,3645.0,277.0,1230.0,4644.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,87.0,25,True,2023-09-28 15:21:56.000,1.30.0,70.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+486,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,,658.0,160.0,130.0,83.0,101.0,4576.0,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'],751.0,745.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,492.0,492.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+487,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2023-06-16 19:25:40.006000,2022-08-23 22:54:23,1046.0,,982.0,240.0,214.0,51.0,199.0,4257.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,25,False,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,50.0,49.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,540.0,644.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,3125.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+488,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2023-06-16 19:25:16.902000,2022-04-01 13:57:36,131.0,,949.0,144.0,30.0,40.0,77.0,4105.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,25,False,2014-11-17 16:34:37.000,0.5,1.0,vadersentiment,conda-forge/vadersentiment,,,,7398.0,7398.0,https://pypi.org/project/vadersentiment,,,178324.0,178751.0,https://anaconda.org/conda-forge/vadersentiment,2023-06-16 19:25:16.902,13244.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+489,Lasagne,Lasagne/Lasagne,ml-frameworks,,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,,2014-09-11 15:31:41.000,2022-03-26 02:58:32.000000,2019-11-20 20:28:30,1161.0,,924.0,219.0,408.0,115.0,402.0,3841.0,Lightweight library to build and train neural networks in Theano.,72.0,25,False,2015-08-13 21:00:09.000,0.1,1.0,lasagne,,,,,1013.0,1013.0,https://pypi.org/project/lasagne,,,1858.0,1858.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+490,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2023-05-31 10:01:38.000000,2023-05-06 14:09:10,264.0,,401.0,40.0,49.0,70.0,173.0,3839.0,An Open-Source Framework for Prompt-Learning.,22.0,25,True,2022-04-20 04:58:40.000,1.0.0,4.0,openprompt,,,,,80.0,80.0,https://pypi.org/project/openprompt,,,2073.0,2073.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+491,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,,511.0,139.0,649.0,66.0,197.0,3831.0,Snips Python library to extract meaning from text.,22.0,25,False,2020-01-15 10:13:17.000,0.20.2,58.0,snips-nlu,,,,,13.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,13.0,1958.0,1958.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+492,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2023-10-12 09:43:46.000000,2023-10-12 08:57:51,209.0,2.0,309.0,86.0,92.0,48.0,32.0,3393.0,Python library that makes it easy for data scientists to create charts.,25.0,25,True,2023-10-12 09:02:25.000,4.0.5,25.0,chartify,conda-forge/chartify,,,,83.0,73.0,https://pypi.org/project/chartify,2023-10-12 09:02:25.000,10.0,2857.0,3344.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,28761.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+493,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2023-09-22 09:55:14.000000,2023-05-19 17:52:25,508.0,,811.0,62.0,629.0,103.0,396.0,3089.0,A high-performance distributed training framework for Reinforcement Learning.,42.0,25,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],119.0,118.0,https://pypi.org/project/parl,2022-05-13 04:46:41.000,1.0,498.0,498.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+494,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2023-10-13 04:37:58.000000,2023-09-20 16:12:35,178.0,2.0,362.0,164.0,82.0,87.0,99.0,3024.0,A deep learning library for video understanding research.,55.0,25,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],7.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,7.0,76364.0,76364.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+495,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2023-06-16 19:17:56.088000,2021-06-22 10:51:48,116.0,,469.0,102.0,49.0,58.0,253.0,2753.0,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,,,,665.0,665.0,https://pypi.org/project/neuralcoref,,,3067.0,3414.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,14828.0,,,,,3.0,804.0,,,,,,,,,,,,,,,,,,,
+496,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,,216.0,67.0,42.0,17.0,23.0,2652.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,25,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,793.0,788.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,74104.0,74393.0,https://anaconda.org/conda-forge/knockknock,2023-06-16 16:18:44.705,13904.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+497,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2023-10-07 14:59:35.000000,2023-09-25 05:41:01,1296.0,2.0,313.0,93.0,2156.0,206.0,982.0,2652.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",52.0,25,True,2023-02-03 19:04:11.785,0.8.1,118.0,pymars,,,,,1.0,,https://pypi.org/project/pymars,2022-06-12 11:43:21.000,1.0,61646.0,61646.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+498,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2023-06-30 21:16:15.000000,2023-06-30 21:16:10,470.0,,300.0,67.0,315.0,39.0,123.0,2632.0,DDSP: Differentiable Digital Signal Processing.,32.0,25,True,2023-05-25 02:30:41.654,3.7.0,55.0,ddsp,conda-forge/ddsp,,,['tensorflow'],48.0,47.0,https://pypi.org/project/ddsp,2022-05-25 17:42:19.000,1.0,1536.0,1897.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,14457.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+499,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2023-10-18 12:30:19.000000,2023-07-19 07:40:10,212.0,,128.0,30.0,198.0,15.0,73.0,2577.0,HiPlot makes understanding high dimensional data easy.,9.0,25,True,2021-11-04 14:24:43.000,0.1.32,35.0,hiplot,conda-forge/hiplot,,,,339.0,339.0,https://pypi.org/project/hiplot,,,24587.0,28342.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,165236.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+500,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,,706.0,167.0,94.0,134.0,358.0,2444.0,An Algorithmic Trading Library for Crypto-Assets in Python.,151.0,25,False,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,27.0,25.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+501,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,,604.0,91.0,29.0,23.0,51.0,2290.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,25,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,618.0,439.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,179.0,165524.0,165524.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+502,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,graph,,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000,2023-10-26 08:33:50.000000,2023-07-01 21:40:58,1936.0,,316.0,38.0,83.0,14.0,156.0,2275.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,28.0,25,True,2022-09-04 16:37:07.000,0.54.0,46.0,torch-geometric-temporal,,,,['pytorch'],4.0,,https://pypi.org/project/torch-geometric-temporal,2022-09-04 16:10:00.738,4.0,1714.0,1714.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+503,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2023-06-16 19:27:14.287000,2022-09-28 17:12:28,249.0,,248.0,25.0,315.0,70.0,37.0,2201.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,17.0,25,False,2022-09-28 08:51:19.531,0.2.12,12.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],698.0,697.0,https://pypi.org/project/lazypredict,2022-09-28 08:51:19.531,1.0,36425.0,36523.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,2559.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+504,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2023-10-15 09:57:16.000000,2023-05-15 21:21:45,660.0,,216.0,38.0,136.0,6.0,126.0,2175.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,24.0,25,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,,137.0,134.0,https://pypi.org/project/norfair,2022-05-30 21:14:58.000,3.0,6069.0,6076.0,,,,,,,,3.0,294.0,,,,,,,,,,,,,,,,,,,
+505,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 17:59:40,755.0,2.0,290.0,28.0,695.0,49.0,149.0,2175.0,"Toolkit for creating, sharing and using natural language prompts.",65.0,25,True,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,64.0,63.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,1.0,3008.0,3008.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+506,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2023-09-05 06:09:07.000000,2023-09-05 06:09:05,385.0,1.0,278.0,57.0,14.0,21.0,78.0,2157.0,Beautiful visualizations of how language differs among document types.,14.0,25,True,2023-04-18 01:25:02.819,0.1.19,148.0,scattertext,conda-forge/scattertext,,,,448.0,438.0,https://pypi.org/project/scattertext,2022-03-26 09:23:49.000,10.0,9623.0,10767.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,84675.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+507,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,,238.0,71.0,21.0,92.0,66.0,2054.0,Open source time series library for Python.,6.0,25,False,2017-11-21 16:27:06.000,0.4.16,35.0,pyflux,,,,,268.0,252.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,16.0,38652.0,38652.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+508,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2023-06-16 19:23:39.686000,2021-07-16 09:03:20,66.0,,463.0,38.0,42.0,64.0,58.0,2040.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,25,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],1801.0,1787.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,51862.0,56621.0,https://anaconda.org/anaconda/efficientnet,2023-06-16 19:23:39.686,458.0,,,,,3.0,251590.0,,,,,,,,,,,,,,,,,,,
+509,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2023-06-20 17:42:42.000000,2023-06-20 17:42:34,12566.0,,83.0,41.0,47.0,11.0,74.0,2035.0,The friendly PIL fork.,385.0,25,False,,,47.0,pillow-simd,,,,,55.0,,https://pypi.org/project/pillow-simd,2022-01-04 16:11:51.000,55.0,56243.0,56243.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+510,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2023-10-26 00:46:03.000000,2023-10-16 16:49:59,532.0,10.0,177.0,40.0,114.0,55.0,125.0,2014.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,25.0,25,True,2023-10-25 00:45:59.000,2023.10.25,711.0,kubric-nightly,,,,,3.0,3.0,https://pypi.org/project/kubric-nightly,2023-10-26 00:46:03.000,,4832.0,4832.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+511,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2023-07-12 18:18:40.000000,2023-07-12 18:14:01,1515.0,,237.0,67.0,58.0,31.0,185.0,2013.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,20.0,25,True,2023-07-12 18:26:08.000,2.0.1,14.0,ampligraph,,,,['tensorflow'],44.0,44.0,https://pypi.org/project/ampligraph,2021-05-25 16:47:29.000,,629.0,629.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+512,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2023-09-26 17:28:16.000000,2023-09-26 17:27:56,255.0,3.0,191.0,31.0,63.0,35.0,83.0,1948.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,25,True,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],294.0,287.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,7.0,3562.0,3757.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,6456.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+513,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 05:46:52.000,2023-10-11 19:12:48.654000,2023-05-26 18:23:37,117.0,,228.0,44.0,36.0,45.0,21.0,1814.0,Parallel t-SNE implementation with Python and Torch wrappers.,17.0,25,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],429.0,407.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,31311.0,32296.0,https://anaconda.org/conda-forge/multicore-tsne,2023-10-11 19:12:48.654,29579.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+514,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,,294.0,55.0,1313.0,233.0,810.0,1742.0,A toolkit for reproducible reinforcement learning research.,79.0,25,True,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],92.0,90.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,2.0,591.0,591.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+515,Hivemind,learning-at-home/hivemind,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000,2023-10-08 20:12:03.000000,2023-10-08 20:12:02,569.0,8.0,110.0,52.0,441.0,60.0,102.0,1683.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,28.0,25,True,2023-08-31 20:07:52.000,1.1.10,27.0,hivemind,,,,,79.0,73.0,https://pypi.org/project/hivemind,2023-08-31 20:07:10.000,6.0,3000.0,3000.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+516,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2023-09-22 07:25:32.800000,2023-04-20 14:53:46,460.0,,238.0,50.0,48.0,22.0,91.0,1542.0,Contextually-keyed word vectors.,19.0,25,True,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,306.0,293.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,13.0,1982.0,4177.0,https://anaconda.org/conda-forge/sense2vec,2023-09-22 07:25:32.800,35012.0,,,,,3.0,59375.0,,,,,,,,,,,,,,,,,,,
+517,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2023-09-19 07:41:06.631000,2022-12-07 10:32:49,237.0,,267.0,1.0,1.0,1.0,,1525.0,Feature engineering package with sklearn like functionality.,38.0,25,True,2023-09-18 14:50:58.000,1.6.2,38.0,feature_engine,conda-forge/feature_engine,,,,86.0,,https://pypi.org/project/feature_engine,2023-09-18 14:50:58.000,86.0,141105.0,142183.0,https://anaconda.org/conda-forge/feature_engine,2023-09-19 07:41:06.631,40970.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+518,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2023-10-15 07:03:27.000000,2023-08-27 09:50:01,1167.0,19.0,117.0,29.0,68.0,1.0,29.0,1440.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,25,True,2023-08-19 14:26:10.000,0.7.0,29.0,pytorch_toolbelt,,,,['pytorch'],7.0,,https://pypi.org/project/pytorch_toolbelt,2022-06-27 19:59:57.000,7.0,17411.0,17411.0,,,,,,,,2.0,7.0,,,,,,,,,,,,,,,,,,,
+519,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2023-08-12 06:34:31.000000,2023-08-12 06:34:27,161.0,2.0,251.0,50.0,86.0,21.0,188.0,1432.0,"Genetic Programming in Python, with a scikit-learn inspired API.",11.0,25,True,2022-05-03 10:56:08.000,0.4.2,7.0,gplearn,conda-forge/gplearn,,,['sklearn'],459.0,446.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,13.0,5906.0,6060.0,https://anaconda.org/conda-forge/gplearn,2023-06-16 19:20:25.471,6182.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+520,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2023-09-27 15:14:50.000000,2023-09-27 15:14:33,667.0,1.0,157.0,47.0,161.0,19.0,376.0,1252.0,moDel Agnostic Language for Exploration and eXplanation.,24.0,25,False,2023-02-16 21:26:00.740,1.6.0,26.0,dalex,conda-forge/dalex,,,,136.0,130.0,https://pypi.org/project/dalex,2022-09-07 14:45:39.364,6.0,17323.0,17651.0,https://anaconda.org/conda-forge/dalex,2023-06-16 19:24:13.607,10846.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+521,TFEncrypted,tf-encrypted/tf-encrypted,privacy-ml,,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000,2023-10-19 08:20:16.000000,2023-02-08 02:25:50,604.0,,200.0,54.0,460.0,142.0,291.0,1163.0,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'],73.0,64.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,403.0,403.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+522,Neural Structured Learning,tensorflow/neural-structured-learning,tensorflow-utils,,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000,2023-09-20 15:32:40.000000,2023-09-20 15:32:36,567.0,2.0,191.0,49.0,61.0,1.0,68.0,971.0,Training neural models with structured signals.,38.0,25,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,,['tensorflow'],388.0,385.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,14446.0,14446.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+523,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2023-10-25 11:15:08.000000,2023-10-23 21:10:12,1770.0,66.0,337.0,56.0,440.0,139.0,243.0,946.0,Machine learning on FPGAs using HLS.,56.0,25,True,2023-05-13 15:59:00.678,0.7.1,13.0,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",,,https://pypi.org/project/hls4ml,2021-11-12 12:26:50.000,,602.0,788.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,6893.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+524,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,,252.0,42.0,72.0,103.0,188.0,891.0,Gaussian Process Optimization using GPy.,49.0,25,True,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,498.0,460.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,38.0,7287.0,7287.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+525,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 10:51:56.000,2023-10-26 02:37:34.000000,2023-10-25 02:08:09,757.0,5.0,54.0,13.0,115.0,40.0,100.0,830.0,Visualize large time series data with plotly.py.,11.0,25,True,2023-07-13 11:26:44.000,0.9.1,57.0,plotly-resampler,conda-forge/plotly-resampler,,,,632.0,627.0,https://pypi.org/project/plotly-resampler,2022-06-29 16:22:00.000,5.0,339767.0,341198.0,https://anaconda.org/conda-forge/plotly-resampler,2023-08-11 13:55:21.400,30053.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+526,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 20:19:05,5777.0,14.0,81.0,14.0,77.0,218.0,218.0,825.0,"Experiment tracking, ML developer tools.",29.0,25,True,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,83.0,83.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,1877.0,1877.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,
+527,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2023-10-21 16:12:52.000000,2023-10-02 23:03:48,220.0,11.0,79.0,21.0,152.0,24.0,82.0,796.0,Library to enable Bayesian active learning in your research or labeling work.,21.0,25,True,2023-10-02 19:58:51.000,1.9.1,19.0,baal,conda-forge/baal,,,,53.0,52.0,https://pypi.org/project/baal,2023-10-02 19:57:48.000,1.0,1789.0,2007.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,7212.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+528,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2023-08-27 04:36:31.000000,2021-02-11 16:40:18,279.0,,71.0,13.0,48.0,22.0,52.0,671.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,7.0,25,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,960.0,938.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,22.0,192067.0,192263.0,https://anaconda.org/conda-forge/pysbd,2023-06-16 19:27:37.870,4727.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+529,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2023-09-19 18:44:18.000000,2023-09-19 18:44:18,355.0,16.0,116.0,19.0,78.0,23.0,33.0,652.0,Working with molecular structures in pandas DataFrames.,15.0,25,True,2023-08-28 15:31:05.000,0.5.1de,19.0,biopandas,conda-forge/biopandas,,,['pandas'],231.0,208.0,https://pypi.org/project/biopandas,2023-08-28 15:32:25.000,23.0,90241.0,92020.0,https://anaconda.org/conda-forge/biopandas,2023-06-16 13:21:19.340,145941.0,,,,,3.0,,,,,,,,BioPandas/biopandas,,,,,,,,,,,,
+530,quinn,MrPowers/quinn,ml-experiments,,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,,2017-09-15 13:02:42.000,2023-10-22 22:49:24.000000,2023-10-12 01:08:21,181.0,41.0,73.0,21.0,67.0,25.0,50.0,524.0,pyspark methods to enhance developer productivity.,23.0,25,False,2023-02-17 21:55:30.000,0.10.0,2.0,quinn,,,,['spark'],72.0,72.0,https://pypi.org/project/quinn,,,876491.0,876491.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,,
+531,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2023-10-25 03:13:09.000000,2023-08-23 17:20:54,1241.0,1.0,150.0,19.0,683.0,25.0,208.0,465.0,A package built to support working with spatial data using open source python.,44.0,25,True,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,271.0,254.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,4665.0,5952.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,69515.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+532,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2023-09-23 13:28:08.196000,2022-01-15 18:08:37,1718.0,,56.0,13.0,11.0,32.0,5.0,465.0,Pure-Python full-text search library.,42.0,25,False,2016-04-04 01:19:40.000,2.7.4,141.0,whoosh,conda-forge/whoosh,,,,3692.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,3692.0,274965.0,282256.0,https://anaconda.org/conda-forge/whoosh,2023-09-23 13:28:08.196,211447.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+533,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2023-10-20 17:29:31.000000,2023-10-20 17:29:28,575.0,1.0,84.0,29.0,317.0,75.0,27.0,360.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,25,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],307.0,300.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,62964.0,62964.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+534,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2023-10-26 01:38:28.000000,2023-10-26 01:36:31,511.0,10.0,54.0,39.0,256.0,17.0,59.0,291.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",37.0,25,False,2023-10-26 01:38:28.000,1.2.4,71.0,gokart,,,,,79.0,74.0,https://pypi.org/project/gokart,2023-10-26 01:38:28.000,5.0,3734.0,3734.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+535,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2023-10-05 14:57:15.000000,2023-10-05 14:57:15,219.0,2.0,53.0,14.0,196.0,12.0,184.0,283.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",13.0,25,False,2023-04-23 19:42:01.507,3.7.0,69.0,pystan,conda-forge/pystan,,,,259.0,,https://pypi.org/project/pystan,2023-04-23 19:42:01.507,259.0,1555287.0,1590318.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2767459.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+536,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2023-10-25 03:52:03.000000,2023-10-10 19:15:27,4039.0,14.0,48.0,14.0,708.0,217.0,203.0,266.0,Asynchronous Distributed Hyperparameter Optimization.,32.0,25,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,101.0,93.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,1949.0,1949.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+537,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2023-06-14 00:38:14.000000,2022-11-08 22:11:16,98.0,,1703.0,201.0,68.0,78.0,34.0,9431.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,30.0,24,True,,,,english-words,,,,,2.0,2.0,https://pypi.org/project/english-words,,,606022.0,606022.0,,,,,,,,3.0,,,,,,,,,,,,,-5.0,,,,,,,
+538,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,,1342.0,348.0,14.0,41.0,65.0,6192.0,Python library for processing Chinese text.,8.0,24,False,,,,snownlp,,,,,1220.0,1220.0,https://pypi.org/project/snownlp,,,6808.0,6808.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+539,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2023-10-25 13:26:26.000000,2023-08-25 22:18:03,209.0,1.0,285.0,64.0,177.0,19.0,54.0,4816.0,"A data augmentations library for audio, image, text, and video.",32.0,24,True,2022-03-29 11:42:50.000,1.0.0,17.0,augly,,,,,86.0,83.0,https://pypi.org/project/augly,2022-03-28 13:29:26.000,3.0,1453.0,1453.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+540,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2023-10-26 08:08:10.000000,2023-04-28 16:55:30,521.0,,426.0,60.0,89.0,27.0,88.0,4737.0,Finding duplicate images made easy!.,15.0,24,True,2023-04-28 17:26:08.000,0.3.2,8.0,imagededup,,,,['tensorflow'],67.0,67.0,https://pypi.org/project/imagededup,,,5913.0,5913.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+541,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2023-10-24 08:51:14.000000,2023-02-19 16:29:00,327.0,,902.0,45.0,30.0,63.0,110.0,4496.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",17.0,24,True,2021-06-28 12:45:52.000,0.6.5,20.0,scikit-opt,,,,['sklearn'],156.0,156.0,https://pypi.org/project/scikit-opt,,,3588.0,3588.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+542,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-07-17 20:51:30.000000,2023-03-05 22:07:59,1158.0,,1370.0,352.0,57.0,51.0,,4163.0,Python Algorithmic Trading Library.,11.0,24,True,,,8.0,pyalgotrade,,,,,192.0,171.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,21.0,794.0,794.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+543,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,,713.0,66.0,247.0,124.0,822.0,3919.0,"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,,,,,35.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:38:10.521,35.0,4683.0,4683.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+544,MatchZoo,NTMC-Community/MatchZoo,nlp,,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16,1810.0,,917.0,177.0,385.0,33.0,430.0,3795.0,"Facilitating the design, comparison and sharing of deep text matching models.",36.0,24,False,2019-10-24 13:09:11.000,2.2.0,5.0,matchzoo,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000,,95.0,95.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+545,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2023-08-25 23:29:22.000000,2023-08-25 22:31:20,169.0,2.0,432.0,91.0,78.0,57.0,137.0,3296.0,Generate embeddings from large-scale graph-structured data.,30.0,24,True,2019-10-14 16:45:11.000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],3.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000,3.0,322344.0,322347.0,,,,,,,,2.0,163.0,,,,,,,,,,,,3.0,,,,,,,
+546,keras-vis,raghakot/keras-vis,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000,2022-02-07 16:06:07.000000,2020-04-20 01:03:12,195.0,,679.0,72.0,25.0,117.0,101.0,2969.0,Neural network visualization toolkit for keras.,10.0,24,False,2017-07-06 05:11:22.255,0.4.1,11.0,keras-vis,,,,['tensorflow'],2852.0,2823.0,https://pypi.org/project/keras-vis,2017-04-02 03:54:58.000,29.0,938.0,938.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+547,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 08:45:10,277.0,6.0,234.0,43.0,110.0,80.0,64.0,2812.0,"Text preprocessing, representation and visualization from zero to hero.",21.0,24,True,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,11409.0,11411.0,,,,,,,,3.0,119.0,,,,,,,,,,,,,,,,,,,
+548,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2023-03-18 16:45:36.000000,2022-10-05 16:26:03,376.0,,216.0,48.0,480.0,45.0,70.0,2633.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,24,True,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,175.0,172.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,19636.0,19636.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,,
+549,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,,258.0,58.0,56.0,19.0,50.0,2197.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,True,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],607.0,588.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,19.0,4327.0,4327.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+550,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2023-10-05 21:16:31.000000,2023-07-01 21:39:32,2288.0,,229.0,40.0,36.0,6.0,109.0,1995.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,17.0,24,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,201.0,197.0,https://pypi.org/project/karateclub,2022-10-22 16:17:27.886,4.0,3739.0,4281.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,21161.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+551,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,,114.0,39.0,11.0,32.0,51.0,1607.0,"A fast, efficient universal vector embedding utility package.",4.0,24,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,330.0,317.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,13.0,1149.0,1149.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+552,EfficientNets,rwightman/gen-efficientnet-pytorch,pytorch-utils,,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000,2022-07-01 09:55:35.000000,2021-07-08 19:03:55,108.0,,203.0,45.0,12.0,4.0,51.0,1544.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,24,False,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],198.0,196.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,2.0,8154.0,8154.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+553,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,,406.0,91.0,165.0,103.0,224.0,1345.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,59.0,24,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],43.0,42.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,1.0,85.0,85.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+554,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2023-06-16 19:23:39.693000,2022-12-24 01:52:28,204.0,,303.0,49.0,42.0,93.0,112.0,1260.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,17.0,24,True,2020-09-13 21:05:45.000,0.8.4,1.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],336.0,336.0,https://pypi.org/project/keras-ocr,,,12017.0,30240.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,286.0,,,,,3.0,673958.0,,,,,,,,,,,,,,,,,,,
+555,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2023-10-26 12:48:05.000000,2023-10-26 11:25:51,762.0,77.0,167.0,18.0,251.0,64.0,93.0,1165.0,Generate Diverse Counterfactual Explanations for any machine learning model.,19.0,24,True,2023-10-26 11:36:48.000,0.11,12.0,dice-ml,,,,"['tensorflow', 'pytorch']",5.0,,https://pypi.org/project/dice-ml,2022-06-02 13:40:03.000,5.0,55268.0,55268.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+556,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2023-08-29 11:31:26.000000,2023-08-29 11:31:26,76.0,1.0,226.0,20.0,16.0,3.0,87.0,1126.0,Implementation of the node2vec algorithm.,12.0,24,True,2022-08-01 11:35:00.616,0.4.6,18.0,node2vec,conda-forge/node2vec,,,,512.0,494.0,https://pypi.org/project/node2vec,2022-08-01 11:35:00.616,18.0,81104.0,81515.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,26774.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+557,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,,224.0,73.0,415.0,75.0,147.0,1126.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,166.0,156.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,10.0,516.0,516.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+558,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2023-09-30 06:19:56.000000,2023-09-30 06:19:56,409.0,8.0,184.0,34.0,72.0,3.0,86.0,1028.0,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'],201.0,192.0,https://pypi.org/project/keract,2022-09-25 14:40:40.377,9.0,4419.0,4419.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+559,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2023-10-25 17:41:44.000000,2023-10-25 17:39:41,1790.0,178.0,74.0,18.0,616.0,60.0,139.0,971.0,"MetricFlow allows you to define, build, and maintain metrics in code.",41.0,24,False,2023-09-06 22:57:08.000,0.202.0,11.0,metricflow,,,,,10.0,10.0,https://pypi.org/project/metricflow,,,19379.0,19379.0,,,,,,,,3.0,,,,,,,,dbt-labs/metricflow,,,,,,,,,,,,
+560,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 05:57:46,1036.0,2.0,173.0,48.0,112.0,51.0,170.0,949.0,Python interface to GPU-powered libraries.,44.0,24,True,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,319.0,270.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,49.0,687.0,687.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+561,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2023-10-06 08:51:55.000000,2023-10-05 20:16:49,726.0,2.0,143.0,15.0,99.0,23.0,224.0,887.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,44.0,24,True,2023-10-06 08:51:55.000,0.6.18,31.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],73.0,,https://pypi.org/project/torch-sparse,2023-10-06 08:51:55.000,73.0,25624.0,31499.0,https://anaconda.org/conda-forge/pytorch_sparse,2023-06-16 19:19:31.218,235009.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+562,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2023-08-14 23:20:14.000000,2023-03-06 07:52:05,311.0,,107.0,26.0,36.0,34.0,69.0,865.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,24,True,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],544.0,532.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,12.0,21263.0,21263.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+563,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,,160.0,33.0,25.0,33.0,235.0,740.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,24,True,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,171.0,158.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,13.0,4440.0,4440.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+564,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2023-10-25 13:56:57.000000,2023-10-25 13:56:50,307.0,16.0,107.0,19.0,72.0,,63.0,740.0,An intuitive library to extract features from time series.,18.0,24,True,2023-08-23 07:53:53.000,0.1.6,10.0,tsfel,,,,,96.0,96.0,https://pypi.org/project/tsfel,,,23678.0,23678.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+565,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2023-10-18 07:58:23.867000,2023-10-11 13:01:19,594.0,3.0,127.0,16.0,53.0,25.0,120.0,706.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,32.0,24,True,2023-10-12 06:54:28.000,1.6.3,43.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],44.0,,https://pypi.org/project/torch-cluster,2023-10-12 06:52:43.000,44.0,11581.0,13548.0,https://anaconda.org/conda-forge/pytorch_cluster,2023-10-18 07:58:23.867,80686.0,,,,,2.0,,,,,,,,,,,,,3.0,,,,,,,
+566,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2023-10-23 12:22:18.000000,2023-10-14 06:13:02,551.0,2.0,93.0,17.0,189.0,94.0,133.0,593.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",31.0,24,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,,169.0,,https://pypi.org/project/soundfile,2023-02-15 15:39:00.786,169.0,1468563.0,1468703.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,3.0,16254.0,,,,,,,,,,,,,,,,,,,
+567,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2023-10-26 11:52:59.000000,2023-10-23 12:39:50,829.0,30.0,77.0,9.0,674.0,76.0,415.0,558.0,Automated modeling and machine learning framework FEDOT.,29.0,24,True,2023-07-25 13:20:41.000,0.7.2,19.0,fedot,,,,,42.0,41.0,https://pypi.org/project/fedot,2023-07-25 13:17:29.000,1.0,1242.0,1242.0,,,,,,,,2.0,,,,,,,,aimclub/FEDOT,,,,,,,,,,,,
+568,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2023-06-16 13:16:45.065000,2022-02-11 07:59:35,77.0,,72.0,9.0,17.0,11.0,12.0,499.0,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'],4022.0,3859.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,163.0,1899053.0,1908878.0,https://anaconda.org/conda-forge/findspark,2023-06-16 13:16:45.065,864616.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+569,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2023-10-23 23:44:15.000000,2023-10-18 22:13:44,950.0,23.0,159.0,24.0,816.0,85.0,379.0,461.0,MONAI Label is an intelligent open source image labeling and learning tool.,53.0,24,True,2023-10-18 15:08:49.000,0.8.0,15.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,,,265.0,2701.0,,,,,,,,3.0,65783.0,,,,,,,,,,,,,,,,,,,
+570,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,,2015-11-26 21:15:41.000,2023-09-25 19:44:09.000000,2019-12-05 08:17:22,46.0,,210.0,23.0,17.0,34.0,23.0,421.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,,,1.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],7137.0,7137.0,https://pypi.org/project/sklearn-crfsuite,,,577755.0,578694.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,39448.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+571,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2023-10-14 01:37:36.000000,2023-03-05 05:31:37,737.0,,79.0,13.0,29.0,9.0,44.0,335.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,15.0,24,True,2023-03-05 05:35:05.094,3.0.1,57.0,pymap3d,conda-forge/pymap3d,,,,344.0,323.0,https://pypi.org/project/pymap3d,2023-03-05 05:35:05.094,21.0,78326.0,79772.0,https://anaconda.org/conda-forge/pymap3d,2023-06-16 19:18:14.535,62200.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+572,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/nebuly,https://github.com/nebuly-ai/nebuly,Apache-2.0,2022-02-12 17:17:14.000,2023-10-24 12:59:43.000000,2023-10-24 12:59:43,762.0,7.0,648.0,99.0,150.0,98.0,103.0,8311.0,The user analytics platform for LLMs.,40.0,23,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,2.0,,https://pypi.org/project/nebullvm,2023-06-18 11:03:00.511,2.0,584.0,584.0,,,,,,,,3.0,,,,,,,,nebuly-ai/nebuly,,,,,,,,,,,,
+573,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2023-06-16 18:03:39.000000,2023-03-04 05:19:44,2327.0,,606.0,146.0,1362.0,118.0,985.0,7963.0,Production infrastructure for machine learning at scale.,24.0,23,True,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,1.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,1.0,1162.0,1162.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+574,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2023-08-23 18:39:43.000000,2020-06-03 05:58:03,146.0,,1379.0,262.0,68.0,115.0,132.0,6147.0,Audio fingerprinting and recognition in Python.,23.0,23,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,24.0,21.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,3.0,103.0,103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+575,T5,google-research/text-to-text-transfer-transformer,nlp,,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000,2023-10-25 22:13:58.000000,2023-10-25 22:13:52,595.0,4.0,720.0,105.0,586.0,57.0,345.0,5541.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,57.0,23,True,2020-04-03 19:06:25.000,0.4.0,1.0,t5,,,,['tensorflow'],,,https://pypi.org/project/t5,,,24048.0,24048.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+576,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2023-10-18 21:51:58.000000,2023-10-18 21:42:34,1092.0,2.0,880.0,117.0,674.0,107.0,540.0,5324.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,114.0,23,True,2019-08-26 19:04:21.000,0.3.1,2.0,mmf,,,,['pytorch'],14.0,14.0,https://pypi.org/project/mmf,,,196.0,196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+577,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2023-10-26 14:19:49.000000,2023-10-21 20:22:41,1517.0,38.0,793.0,144.0,1418.0,320.0,394.0,4598.0,Simple and Distributed Machine Learning.,113.0,23,True,2023-09-27 02:20:17.000,0.11.3,35.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+578,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2023-08-31 07:24:48.000000,2022-07-29 10:37:24,205.0,,986.0,96.0,62.0,246.0,268.0,4457.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,False,2020-01-10 11:28:38.000,1.0.1,4.0,segmentation_models,,,,['tensorflow'],,,https://pypi.org/project/segmentation_models,,,18892.0,18892.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+579,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 13:41:13.000,2022-01-23 11:27:35.000000,2021-06-02 09:45:13,150.0,,699.0,103.0,32.0,101.0,113.0,4332.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,23,False,2020-01-08 15:37:35.000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],121.0,116.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,5129.0,5132.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,229.0,3.0,,,,,,,,,,,,,,,,,,,,
+580,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2021-08-30 19:33:24.000000,2021-08-30 19:33:24,440.0,,529.0,174.0,49.0,64.0,49.0,3465.0,Fast and flexible AutoML with learning guarantees.,27.0,23,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],57.0,54.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,3.0,126.0,126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+581,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2023-10-05 08:32:09.000000,2023-10-05 08:26:32,1577.0,9.0,498.0,153.0,609.0,69.0,75.0,3458.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",162.0,23,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,22.0,22.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+582,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-10-02 18:04:41.000000,2022-03-16 17:52:29,715.0,,216.0,55.0,34.0,68.0,120.0,3047.0,A GUI for Pandas DataFrames.,13.0,23,False,,,2.0,pandasgui,conda-forge/pandasgui,,,['pandas'],294.0,294.0,https://pypi.org/project/pandasgui,,,3060.0,3674.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,20289.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+583,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2023-10-25 12:08:52.000000,2023-10-25 10:05:38,2674.0,73.0,1039.0,132.0,1017.0,53.0,72.0,2986.0,a distributed deep learning platform.,85.0,23,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,2.0,2.0,,,,,48.0,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,717.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,4161.0,3.0,,,,,,,,,,,,,,,,,,,,
+584,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000,2023-09-06 01:51:23.000000,2023-09-06 01:51:17,3452.0,1.0,727.0,107.0,3869.0,533.0,855.0,2588.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",108.0,23,True,2022-01-25 00:22:00.888,0.11.2,418.0,analytics-zoo,,,,['spark'],5.0,4.0,https://pypi.org/project/analytics-zoo,2022-07-07 07:51:54.000,1.0,995.0,995.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+585,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,,413.0,130.0,136.0,60.0,128.0,2398.0,Deep Learning toolkit for Computer Vision.,15.0,23,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,,['tensorflow'],51.0,49.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,1814.0,1990.0,,,,,,,,3.0,12707.0,,,,,,,,,,,,,,,,,,,
+586,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16,955.0,,439.0,65.0,122.0,32.0,350.0,2371.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,23,False,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],64.0,62.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+587,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,,2014-06-30 02:07:45.000,2023-02-24 18:44:15.000000,2020-09-22 22:35:28,271.0,,327.0,79.0,54.0,151.0,68.0,2202.0,Multilingual text (NLP) processing toolkit.,26.0,23,False,,,,polyglot,,,,,1101.0,1101.0,https://pypi.org/project/polyglot,,,58970.0,58970.0,,,,,,,,3.0,,,,,,,,,,,,,-4.0,,,,,,,
+588,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,,304.0,67.0,78.0,63.0,68.0,2096.0,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'],25.0,22.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,2433.0,2433.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+589,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,,635.0,82.0,48.0,24.0,64.0,1984.0,Common financial technical indicators implemented in Pandas.,28.0,23,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,441.0,429.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,6783.0,6783.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+590,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,,236.0,45.0,33.0,48.0,90.0,1875.0,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'],144.0,144.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,2726.0,2726.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+591,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2023-09-26 02:48:51.000000,2023-09-26 02:48:50,872.0,1.0,126.0,34.0,407.0,65.0,326.0,1745.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,18.0,23,True,2023-01-29 22:05:17.000,1.1.4.2,23.0,orbit-ml,,,,,41.0,40.0,https://pypi.org/project/orbit-ml,2023-01-29 22:06:26.764,1.0,102562.0,102562.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+592,uber/orbit,uber/orbit,time-series-data,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2023-09-26 02:48:51.000000,2023-09-26 02:48:50,872.0,1.0,126.0,34.0,407.0,65.0,326.0,1745.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,18.0,23,True,2023-01-29 22:05:17.000,1.1.4.2,23.0,orbit-ml,conda-forge/orbit-ml,,,,41.0,40.0,https://pypi.org/project/orbit-ml,2023-01-29 22:06:26.764,1.0,102562.0,102772.0,https://anaconda.org/conda-forge/orbit-ml,2023-06-18 08:40:35.691,4427.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+593,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2022-09-18 16:01:21.000000,2022-09-18 16:01:20,637.0,,268.0,28.0,182.0,9.0,389.0,1594.0,"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.",22.0,23,False,2022-05-28 10:07:13.000,1.3,17.0,talos,,,,['tensorflow'],174.0,167.0,https://pypi.org/project/talos,2022-05-28 10:07:34.000,7.0,851.0,851.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+594,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,,116.0,28.0,31.0,58.0,50.0,1555.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,23,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],340.0,335.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,5.0,47944.0,47944.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+595,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2023-10-15 22:54:39.000000,2023-10-15 22:54:39,156.0,1.0,160.0,99.0,183.0,25.0,25.0,1464.0,fklearn: Functional Machine Learning.,53.0,23,True,2023-04-12 12:55:38.000,2.3.1,28.0,fklearn,,,,,13.0,13.0,https://pypi.org/project/fklearn,,,1726.0,1726.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+596,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2023-09-01 16:34:21.000000,2023-08-25 22:11:00,340.0,2.0,292.0,40.0,252.0,69.0,190.0,1372.0,A framework for Privacy Preserving Machine Learning.,33.0,23,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,,['pytorch'],32.0,31.0,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,1.0,243.0,243.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+597,livelossplot,stared/livelossplot,ml-experiments,,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000,2022-07-15 12:45:07.000000,2022-04-04 16:13:36,330.0,,141.0,29.0,63.0,7.0,70.0,1263.0,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,23,False,,,,livelossplot,,,,['jupyter'],1231.0,1231.0,https://pypi.org/project/livelossplot,,,13459.0,13459.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+598,sklearn-porter,nok/sklearn-porter,model-serialisation,,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,BSD-3-Clause,2016-06-22 22:21:34.000,2022-07-25 15:59:11.000000,2022-05-22 23:59:48,1219.0,,160.0,32.0,22.0,42.0,34.0,1251.0,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",12.0,23,False,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],59.0,58.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,1.0,414.0,414.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+599,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,,187.0,27.0,57.0,21.0,36.0,1217.0,A Toolbox for Adversarial Robustness Research.,21.0,23,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],143.0,138.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,506.0,506.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+600,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2022-07-28 04:39:33.000000,2019-08-16 09:00:15,140.0,,103.0,12.0,18.0,13.0,15.0,1006.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,4342.0,4091.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,251.0,392406.0,392406.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+601,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2023-09-27 19:23:04.851000,2023-03-29 07:39:45,85.0,,78.0,26.0,53.0,32.0,27.0,914.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,23,True,2020-02-13 09:57:47.000,1.0.6,4.0,youtokentome,conda-forge/youtokentome,,,,540.0,540.0,https://pypi.org/project/youtokentome,,,35134.0,36657.0,https://anaconda.org/conda-forge/youtokentome,2023-09-27 19:23:04.851,38078.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+602,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,,136.0,25.0,594.0,62.0,511.0,836.0,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,23,True,2022-02-10 15:55:46.374,0.12.0,41.0,icevision,,,,,6.0,,https://pypi.org/project/icevision,2022-02-10 15:55:46.374,6.0,4286.0,4286.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+603,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2023-10-13 19:56:17.000000,2023-10-12 18:15:50,276.0,5.0,243.0,45.0,18.0,7.0,91.0,781.0,Data compression in TensorFlow.,21.0,23,True,2023-10-13 19:56:17.000,2.14.0,22.0,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,2023-10-12 23:14:15.000,2.0,10144.0,10144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+604,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,,146.0,25.0,154.0,73.0,137.0,757.0,Google maps for Jupyter notebooks.,16.0,23,False,2019-07-21 08:49:48.715,0.9.0,95.0,gmaps,conda-forge/gmaps,,,['jupyter'],49.0,3.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000,44.0,5149.0,10415.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,308575.0,,,,,3.0,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,2.0,1259.0,,,,,,,,,,,,,
+605,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2023-10-24 00:23:31.000000,2023-06-12 22:12:53,449.0,,74.0,25.0,158.0,50.0,62.0,744.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,26.0,23,True,2023-09-17 15:13:06.000,1.7.0,10.0,objax,,,,['jax'],46.0,41.0,https://pypi.org/project/objax,2022-01-31 23:28:27.000,5.0,443.0,443.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+606,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2023-10-26 09:46:07.000000,2023-10-26 00:42:00,1110.0,104.0,120.0,32.0,928.0,33.0,50.0,743.0,Machine learning framework for both deep learning and traditional algorithms.,34.0,23,True,2023-09-19 21:28:50.000,2.0.192,11.0,neoml,,,,,,,https://pypi.org/project/neoml,2023-09-19 21:28:50.000,,324.0,324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+607,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2023-10-23 23:39:41.000000,2023-08-23 11:46:56,231.0,5.0,96.0,15.0,36.0,33.0,24.0,732.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,11.0,23,True,2022-12-19 18:16:02.257,0.5.1,12.0,detoxify,,,,,433.0,423.0,https://pypi.org/project/detoxify,2022-12-19 18:16:02.257,10.0,26117.0,34659.0,,,,,,,,3.0,298996.0,,,,,,,,,,,,,,,,,,,
+608,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2023-10-17 14:50:13.000000,2023-10-17 14:50:08,1502.0,4.0,77.0,36.0,644.0,22.0,118.0,690.0,Scikit-learn style model finetuning for NLP.,21.0,23,True,2023-09-29 10:19:51.000,0.10.0,39.0,finetune,,,,"['tensorflow', 'sklearn']",13.0,11.0,https://pypi.org/project/finetune,2023-09-29 10:19:51.000,2.0,224.0,224.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+609,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2023-09-26 00:20:33.000000,2023-09-26 00:20:33,398.0,1.0,149.0,17.0,72.0,29.0,105.0,652.0,Ternary plotting library for python with matplotlib.,27.0,23,True,2021-02-17 18:23:31.000,1.0.8,8.0,python-ternary,conda-forge/python-ternary,,,,148.0,148.0,https://pypi.org/project/python-ternary,,,36038.0,36907.0,https://anaconda.org/conda-forge/python-ternary,2023-06-16 13:17:10.682,78233.0,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,,
+610,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2022-01-11 05:18:07.000000,2021-04-19 05:00:36,221.0,,138.0,122.0,91.0,43.0,67.0,641.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,23,False,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],190.0,175.0,https://pypi.org/project/mapboxgl,2019-06-02 16:02:54.380,15.0,13216.0,13216.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+611,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2023-08-31 16:23:08.000000,2018-12-04 14:43:25,32.0,,79.0,21.0,8.0,22.0,41.0,603.0,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,23,False,2018-01-15 18:14:37.000,0.9.0,10.0,pivottablejs,anaconda/pivottablejs,,,['jupyter'],393.0,372.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,21.0,22431.0,22460.0,https://anaconda.org/anaconda/pivottablejs,2023-06-16 13:18:14.055,2756.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+612,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2023-10-18 13:09:12.000000,2023-10-18 13:08:59,466.0,6.0,48.0,8.0,51.0,157.0,226.0,549.0,python binding for libvips using cffi.,16.0,23,True,,,5.0,pyvips,conda-forge/pyvips,,,,602.0,602.0,https://pypi.org/project/pyvips,,,50363.0,52272.0,https://anaconda.org/conda-forge/pyvips,2023-09-26 03:23:28.071,68749.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+613,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2023-07-17 20:34:35.934000,2023-07-17 15:55:22,3693.0,,66.0,46.0,346.0,20.0,388.0,536.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,36.0,23,False,2023-07-17 16:04:04.000,4.0.0,68.0,skll,conda-forge/skll,,,['sklearn'],57.0,39.0,https://pypi.org/project/skll,2023-01-19 17:28:00.723,18.0,274.0,803.0,https://anaconda.org/conda-forge/skll,2023-07-17 20:34:35.934,12176.0,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,,
+614,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2023-10-20 11:57:43.827000,2022-11-17 11:12:46,327.0,,130.0,19.0,32.0,14.0,70.0,510.0,Medical image processing in Python.,16.0,23,False,2019-02-14 17:12:59.000,0.4.0,6.0,MedPy,conda-forge/medpy,,,,1530.0,1486.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000,44.0,13186.0,13909.0,https://anaconda.org/conda-forge/medpy,2023-10-20 11:57:43.827,20252.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+615,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2023-10-25 16:49:00.000000,2023-10-25 16:48:15,282.0,4.0,76.0,7.0,8.0,5.0,69.0,479.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code.,9.0,23,True,2023-10-05 12:12:56.000,0.3.3,145.0,featurewiz,,,,,55.0,53.0,https://pypi.org/project/featurewiz,2023-10-05 12:12:56.000,2.0,8884.0,8884.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+616,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2023-10-24 14:06:02.000000,2023-10-24 14:05:53,2271.0,34.0,41.0,11.0,11.0,9.0,52.0,471.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,7.0,23,True,2023-10-24 14:03:36.000,4.6.0,75.0,hyperactive,,,,,26.0,21.0,https://pypi.org/project/hyperactive,2023-10-24 14:03:36.000,5.0,4042.0,4044.0,,,,,,,,3.0,129.0,,,,,,,,,,,,,,,,,,,
+617,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2023-07-16 11:29:31.000000,2023-07-16 11:29:26,153.0,,46.0,17.0,2.0,9.0,3.0,355.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,23,True,2023-07-16 11:35:00.418,0.0.9,10.0,suod,,,,,494.0,492.0,https://pypi.org/project/suod,2021-10-01 18:05:35.000,2.0,67466.0,67466.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+618,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2023-10-06 23:29:55.000000,2023-10-06 23:29:55,2463.0,10.0,56.0,9.0,227.0,28.0,72.0,246.0,Python recommendation toolkit.,13.0,23,False,2022-08-16 20:29:07.512,0.14.2,23.0,lenskit,conda-forge/lenskit,,,,95.0,91.0,https://pypi.org/project/lenskit,2022-08-16 20:29:07.512,4.0,1168.0,1818.0,https://anaconda.org/conda-forge/lenskit,2023-06-16 19:23:42.362,22784.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+619,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2023-09-25 06:14:21.168000,2022-04-14 09:41:50,86.0,,33.0,13.0,9.0,4.0,12.0,226.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,23,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,930.0,885.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,45.0,111947.0,113439.0,https://anaconda.org/conda-forge/py3nvml,2023-09-25 06:14:21.168,53747.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+620,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,,1467.0,131.0,51.0,150.0,141.0,7560.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,22,False,2020-03-01 03:29:43.000,1.0,1.0,efficientnet-pytorch,,,,['pytorch'],1.0,1.0,https://pypi.org/project/efficientnet-pytorch,,,146803.0,226744.0,,,,,,,,3.0,3437469.0,,,,,,,,,,,,-5.0,,,,,,,
+621,textgenrnn,minimaxir/textgenrnn,nlp,,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,,2017-08-07 02:13:37.000,2022-07-17 19:07:49.000000,2020-07-14 02:41:10,174.0,,730.0,138.0,43.0,131.0,98.0,4924.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,22,False,2020-02-03 01:07:00.000,2.0.0,12.0,textgenrnn,,,,['tensorflow'],1097.0,1097.0,https://pypi.org/project/textgenrnn,,,886.0,899.0,,,,,,,,3.0,884.0,,,,,,,,,,,,,,,,,,,
+622,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2023-04-10 13:46:12.000000,2022-05-30 07:32:06,3344.0,,820.0,233.0,109.0,57.0,620.0,4820.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,22,False,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,24.0,,,,,,,,3.0,1501.0,,,,,,,,,,,,,,,,,,,
+623,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2023-07-18 09:20:28.000000,2022-08-09 13:26:32,565.0,,1273.0,307.0,204.0,67.0,205.0,4517.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,22,False,,,,,,shadowreaver/crypto-signal,,,,,,,,,1959.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,143032.0,3.0,,,,,,,,,,,,,,,,,,,,
+624,deep-daze,lucidrains/deep-daze,image,,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000,2022-03-13 19:09:50.000000,2022-03-13 19:08:59,231.0,,323.0,75.0,37.0,95.0,74.0,4390.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,22,False,2022-03-13 19:09:50.000,0.11.1,67.0,deep-daze,,,,,51.0,51.0,https://pypi.org/project/deep-daze,2022-03-13 19:09:50.000,,197.0,197.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+625,Backtesting.py,kernc/backtesting.py,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000,2023-08-24 02:06:46.000000,2023-01-15 11:37:16,279.0,,806.0,104.0,90.0,106.0,349.0,4162.0,Backtest trading strategies in Python.,19.0,22,False,2021-12-13 01:36:44.000,0.3.3,21.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2021-12-13 01:36:44.000,2.0,10640.0,10640.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+626,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2023-06-16 13:24:50.216000,2019-05-22 18:27:54,1118.0,,803.0,334.0,89.0,83.0,306.0,3859.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,22,False,2018-01-05 21:36:23.000,2.6.0,32.0,nervananeon,anaconda/neon,,,,,,https://pypi.org/project/nervananeon,,,92.0,116.0,https://anaconda.org/anaconda/neon,2023-06-16 13:24:50.216,1840.0,,,,,3.0,374.0,,,,,,,,,,,,,,,,,,,
+627,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,,380.0,208.0,9.0,6.0,16.0,3139.0,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],132.0,129.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,3.0,1823.0,1823.0,,,,,,,,3.0,,,,,,,,google-deepmind/trfl,,,,,,,,,,,,
+628,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2023-10-20 18:29:52.000000,2023-10-20 18:18:37,406.0,2.0,317.0,56.0,413.0,79.0,106.0,3137.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",37.0,22,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],31.0,30.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,239.0,239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+629,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2023-10-18 17:03:24.000000,2023-08-08 21:17:31,765.0,1.0,362.0,93.0,545.0,144.0,91.0,2732.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,22,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],8.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,8.0,4896.0,4896.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+630,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2023-09-01 22:04:56.000000,2023-08-24 15:33:37,935.0,1.0,165.0,19.0,73.0,88.0,166.0,2647.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,27.0,22,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,34.0,33.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,1.0,864.0,864.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+631,Texar,asyml/texar,nlp,,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30,1719.0,,381.0,80.0,144.0,36.0,126.0,2367.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,22,False,2019-11-19 04:11:18.000,0.2.4,6.0,texar,,,,['tensorflow'],29.0,27.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000,2.0,43.0,43.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+632,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2023-07-27 13:04:26.000000,2023-07-27 13:04:12,336.0,,337.0,42.0,68.0,159.0,95.0,1819.0,Super easy library for BERT based NLP models.,36.0,22,True,2023-07-27 13:04:26.000,2.0.17,66.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2023-07-27 13:04:26.000,2.0,1280.0,1280.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+633,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-utils,,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000,2023-07-18 11:41:11.000000,2022-01-30 01:22:30,743.0,,209.0,39.0,111.0,54.0,42.0,1681.0,"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'],145.0,137.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,8.0,1602.0,3935.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,201755.0,,,,,3.0,397.0,,,,,,,,,,,,,,,,,,,
+634,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2023-10-25 22:04:21.000000,2023-10-25 22:04:21,1073.0,5.0,253.0,33.0,36.0,23.0,167.0,1637.0,A library for graph deep learning research.,49.0,22,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,8.0,347.0,347.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+635,auto_ml,ClimbsRocks/auto_ml,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25,1149.0,,311.0,98.0,45.0,187.0,216.0,1627.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,22,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,7.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,7.0,620.0,620.0,,,,,,,,3.0,42.0,,,,,,,,,,,,,,,,,,,
+636,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,,289.0,46.0,801.0,69.0,485.0,1563.0,jiant is an nlp toolkit.,60.0,22,True,2021-05-10 18:55:49.000,2.2.0,19.0,jiant,,,,,3.0,3.0,https://pypi.org/project/jiant,,,63.0,63.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+637,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2023-10-22 18:43:46.000000,2023-10-22 18:43:46,368.0,11.0,133.0,18.0,68.0,11.0,31.0,1510.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,15.0,22,True,2023-09-06 15:43:22.000,0.1.2,11.0,pythae,,,,['pytorch'],15.0,15.0,https://pypi.org/project/pythae,,,506.0,506.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+638,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,,270.0,67.0,51.0,23.0,75.0,1444.0,MLBox is a powerful Automated Machine Learning python library.,9.0,22,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,35.0,35.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,1096.0,1096.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+639,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2023-10-26 06:17:10.000000,2023-10-26 06:17:10,1197.0,7.0,94.0,31.0,142.0,64.0,129.0,1281.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",23.0,22,True,2022-04-13 10:24:33.000,0.8.1,13.0,kp,,,,,7.0,7.0,https://pypi.org/project/kp,2022-04-13 10:22:18.000,,167.0,179.0,,,,,,,,3.0,479.0,,,,,,,,,,,,,,,,,,,
+640,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2023-10-17 15:42:35.000000,2023-10-17 15:42:30,833.0,5.0,327.0,51.0,791.0,4.0,300.0,1192.0,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'],2.0,,https://pypi.org/project/sockeye,2017-06-12 16:32:29.000,2.0,418.0,418.0,,,,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,,
+641,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2023-10-23 12:22:39.000000,2023-08-31 05:25:00,181.0,7.0,103.0,37.0,25.0,15.0,109.0,1129.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,14.0,22,True,2023-08-31 05:32:10.000,2.1.3,76.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,2022-09-21 23:07:01.601,8.0,6239.0,6239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+642,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,,217.0,66.0,29.0,31.0,12.0,1126.0,Anomaly Detection and Correlation library.,9.0,22,True,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,91.0,76.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,15.0,9466.0,9466.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+643,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2023-10-02 13:48:23.000000,2023-09-03 19:16:54,508.0,7.0,160.0,33.0,86.0,15.0,32.0,1071.0,"A program for financial portfolio management, analysis and optimisation.",7.0,22,True,,,14.0,FinQuant,,,,,84.0,84.0,https://pypi.org/project/FinQuant,,,1155.0,1155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+644,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2022-06-30 08:14:18.000000,2022-06-30 08:14:18,208.0,,108.0,50.0,98.0,41.0,51.0,995.0,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'],207.0,199.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,8.0,1957.0,1957.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+645,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2023-06-16 13:21:24.079000,2022-12-12 08:52:31,580.0,,283.0,95.0,120.0,62.0,95.0,956.0,"Machine learning, statistics, and data mining for astronomy and astrophysics.",30.0,22,True,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,,['sklearn'],36.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,36.0,1027.0,1581.0,https://anaconda.org/conda-forge/astroml,2023-06-16 13:21:24.079,41047.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+646,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2023-10-23 02:52:41.000000,2022-07-04 00:10:02,195.0,,146.0,23.0,46.0,14.0,82.0,899.0,kapre: Keras Audio Preprocessors.,13.0,22,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2324.0,2310.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,14.0,823.0,823.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,,,
+647,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-05-15 11:15:26.000000,2020-02-25 14:31:53,879.0,,99.0,29.0,59.0,20.0,74.0,806.0,ML-Ensemble high performance ensemble learning.,7.0,22,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,338.0,334.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,4.0,5272.0,5272.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+648,iterative-stratification,trent-b/iterative-stratification,sklearn-utils,,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000,2022-06-06 22:38:33.000000,2022-06-06 22:38:33,57.0,,73.0,6.0,5.0,2.0,23.0,800.0,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,22,False,2021-10-03 18:24:15.000,0.1.7,3.0,iterative-stratification,,,,['sklearn'],371.0,371.0,https://pypi.org/project/iterative-stratification,,,98564.0,98564.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+649,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2022-07-22 06:10:37.000000,2020-03-17 22:44:47,642.0,,74.0,26.0,37.0,25.0,21.0,736.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,22,False,2019-12-01 01:19:50.000,0.7.5,64.0,test_tube,,,,,23.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,23.0,76910.0,76910.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,,
+650,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2023-06-16 19:26:00.374000,2019-10-30 09:27:48,189.0,,81.0,21.0,12.0,,38.0,677.0,Python package for stacking (machine learning technique).,1.0,22,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,354.0,348.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,6.0,20841.0,20902.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,1789.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+651,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2023-10-26 00:50:15.000000,2023-10-10 03:38:42,486.0,16.0,92.0,32.0,548.0,197.0,241.0,611.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,22,True,2023-09-26 13:51:42.000,23.09.00,16.0,merlin-core,,,,,1.0,,https://pypi.org/project/merlin-core,2023-08-29 16:27:32.000,1.0,4717.0,4717.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+652,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,,112.0,27.0,23.0,57.0,35.0,589.0,a distributed Hyperband implementation on Steroids.,11.0,22,False,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,405.0,383.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,22.0,32950.0,33416.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,15845.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+653,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 19:20:13.000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02,249.0,,129.0,23.0,18.0,8.0,29.0,576.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,False,2021-01-28 23:23:17.000,1.3.7,5.0,rfpimp,,,,['sklearn'],134.0,134.0,https://pypi.org/project/rfpimp,,,27783.0,27783.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+654,tick,X-DataInitiative/tick,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000,2023-10-26 14:37:48.000000,2023-03-05 00:16:57,419.0,,96.0,35.0,276.0,68.0,172.0,440.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",19.0,22,True,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,73.0,71.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,2.0,1342.0,1345.0,,,,,,,,3.0,292.0,,,,,,,,,,,,,,,,,,,
+655,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2023-10-25 19:00:31.000000,2023-10-24 16:16:41,5576.0,49.0,88.0,15.0,734.0,33.0,425.0,384.0,Lightwood is Legos for Machine Learning.,41.0,22,False,2023-08-07 15:55:40.000,23.8.1.0,200.0,lightwood,,,,['pytorch'],2.0,,https://pypi.org/project/lightwood,2023-08-07 15:56:06.000,2.0,3394.0,3394.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+656,stop-words,Alir3z4/python-stop-words,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000,2021-12-28 13:59:30.000000,2018-07-23 21:04:09,90.0,,26.0,7.0,18.0,3.0,9.0,152.0,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,,,,,2164.0,2012.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,152.0,107944.0,107944.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+657,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2023-10-26 13:08:14.000000,2023-02-07 10:12:31,47.0,,2081.0,148.0,87.0,225.0,284.0,11906.0,End-to-End Object Detection with Transformers.,26.0,21,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],21.0,21.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+658,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2023-06-18 08:40:31.986000,2023-02-15 20:15:59,196.0,,492.0,82.0,36.0,50.0,26.0,10409.0,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",15.0,21,False,2023-02-15 20:16:12.000,1.0.0,5.0,prettymaps,conda-forge/prettymaps,,,,37.0,37.0,https://pypi.org/project/prettymaps,,,975.0,1075.0,https://anaconda.org/conda-forge/prettymaps,2023-06-18 08:40:31.986,2118.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+659,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,,475.0,88.0,180.0,108.0,161.0,3496.0,A high performance and generic framework for distributed DNN training.,21.0,21,False,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,40.0,65.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1315.0,3.0,,,,,,,,,,,,,,,,,,,,
+660,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 07:47:36,119.0,3.0,357.0,99.0,16.0,53.0,17.0,3340.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",15.0,21,True,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,138.0,131.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,855.0,855.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+661,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-10-23 17:15:34.000000,2022-07-20 20:54:36,1904.0,,322.0,101.0,1000.0,87.0,260.0,2814.0,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,21,False,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+662,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2023-09-01 04:00:40.000000,2023-08-10 17:09:47,309.0,3.0,146.0,24.0,30.0,26.0,31.0,1804.0,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",11.0,21,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,,['pytorch'],28.0,27.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,407.0,594.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,4100.0,,,,,3.0,67.0,,,,,,,,,,,,,,,,,,,
+663,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2023-06-07 17:48:51.000000,2023-06-07 17:48:50,26.0,,100.0,37.0,27.0,22.0,78.0,1748.0,"A flexible, intuitive and fast forecasting library.",9.0,21,True,2023-04-04 19:48:44.000,0.5.0,5.0,greykite,,,,,23.0,23.0,https://pypi.org/project/greykite,,,13236.0,13236.0,,,,,,,,3.0,4.0,,,,,,,,,,,,,,,,,,,
+664,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2023-04-08 10:04:48.000000,2020-04-24 06:58:09,58.0,,246.0,44.0,13.0,53.0,35.0,1738.0,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,21,False,2018-12-03 04:33:29.000,0.2,1.0,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",227.0,227.0,https://pypi.org/project/hiddenlayer,,,1355.0,1355.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+665,graph4nlp,graph4ai/graph4nlp,graph,,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000,2023-02-11 12:08:00.000000,2022-11-13 04:54:45,1941.0,,194.0,30.0,423.0,6.0,163.0,1629.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,29.0,21,True,2022-01-20 18:07:32.000,0.5.5,3.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,,,76.0,76.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+666,Antialiased CNNs,adobe/antialiased-cnns,pytorch-utils,,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000,2023-04-10 08:32:30.000000,2021-09-29 18:48:52,239.0,,203.0,38.0,6.0,14.0,33.0,1625.0,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'],51.0,45.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,2245.0,2245.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+667,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2023-06-16 19:17:34.578000,2023-03-23 14:35:34,422.0,,275.0,74.0,728.0,13.0,64.0,1562.0,An end-to-end PyTorch framework for image and video classification.,77.0,21,True,2023-03-21 05:24:19.000,0.7.0,7.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],,,https://pypi.org/project/classy_vision,,,2097.0,2506.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,18427.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+668,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2023-10-11 20:58:29.000000,2020-12-17 06:57:15,932.0,,295.0,67.0,201.0,5.0,74.0,1559.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,21,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000,,20.0,267.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13111.0,3.0,,,,,,,,,,,,,,,,,,,,
+669,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,,357.0,63.0,47.0,37.0,72.0,1472.0,"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'],38.0,32.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000,6.0,217.0,217.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+670,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2023-05-22 21:34:54.000000,2020-02-04 21:10:25,334.0,,220.0,65.0,48.0,36.0,90.0,1243.0,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'],36.0,33.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,3.0,225.0,225.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+671,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2023-07-16 15:34:00.704000,2023-07-16 15:16:10,420.0,,145.0,97.0,117.0,33.0,45.0,1084.0,PFRL: a PyTorch-based deep reinforcement learning library.,19.0,21,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,93.0,92.0,https://pypi.org/project/pfrl,2023-07-16 15:34:00.704,1.0,466.0,466.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+672,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,208.0,28.0,61.0,54.0,60.0,1052.0,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,123.0,113.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,10.0,451.0,456.0,,,,,,,,3.0,583.0,,,,,,,,,,,,,,,,,,,
+673,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000,2023-10-25 14:32:27.000000,2023-08-18 11:01:23,442.0,1.0,203.0,54.0,85.0,60.0,205.0,1002.0,Line based ATR Engine based on OCRopy.,20.0,21,True,2023-08-18 11:26:46.000,1.0.6,35.0,calamari_ocr,,,,,,,https://pypi.org/project/calamari_ocr,,,1976.0,1976.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+674,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 17:48:54,207.0,2.0,244.0,47.0,46.0,26.0,127.0,959.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,28.0,21,True,2020-10-12 06:56:40.000,0.7.6,2.0,aocr,,,,['tensorflow'],26.0,26.0,https://pypi.org/project/aocr,,,244.0,244.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+675,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2023-07-24 18:18:54.000000,2022-05-13 18:48:12,83.0,,181.0,24.0,58.0,8.0,27.0,906.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",16.0,21,False,2022-06-14 18:11:08.000,0.2.0,11.0,saliency,,,,['tensorflow'],73.0,69.0,https://pypi.org/project/saliency,2022-06-14 18:11:08.000,4.0,3739.0,3739.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+676,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 20:26:10.000,2023-10-11 00:13:45.000000,2023-04-27 23:44:02,329.0,,154.0,29.0,108.0,65.0,56.0,844.0,Source code/webpage/demos for the What-If Tool.,20.0,21,True,2021-10-12 17:36:36.000,1.8.1,4.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,,,https://pypi.org/project/witwidget,,,3779.0,56712.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,2073807.0,,,,,3.0,,,wit-widget,https://www.npmjs.com/package/wit-widget,,,1088.0,,,,,,,,,,,,,
+677,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2023-06-10 14:57:37.569000,2023-06-05 01:35:02,228.0,,127.0,17.0,24.0,26.0,39.0,785.0,python partial dependence plot toolbox.,7.0,21,True,2023-06-05 02:53:01.145,0.3.0,4.0,pdpbox,conda-forge/pdpbox,,,,26.0,,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,24520.0,24897.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,19249.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+678,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,,152.0,38.0,46.0,39.0,49.0,758.0,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,93.0,85.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,8.0,420.0,420.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+679,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2023-10-03 19:59:49.000000,2023-08-29 06:49:30,294.0,3.0,58.0,24.0,47.0,10.0,17.0,705.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,21,True,2023-08-29 06:52:02.000,0.2.16,22.0,evojax,conda-forge/evojax,,,['jax'],15.0,13.0,https://pypi.org/project/evojax,2023-08-29 06:52:02.000,2.0,371.0,1430.0,https://anaconda.org/conda-forge/evojax,2023-08-29 10:08:55.843,21197.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+680,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57,430.0,,68.0,28.0,422.0,10.0,237.0,628.0,torchbearer: A model fitting library for PyTorch.,13.0,21,False,2020-01-31 14:07:22.000,0.5.3,24.0,torchbearer,,,,['pytorch'],88.0,84.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000,4.0,166.0,166.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+681,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,,57.0,19.0,216.0,49.0,300.0,582.0,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,,,,,56.0,55.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,457.0,457.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+682,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2023-10-26 14:37:55.000000,2023-08-20 23:36:18,861.0,1.0,98.0,44.0,70.0,48.0,23.0,574.0,Bias and Fairness Audit Toolkit.,18.0,21,True,2020-12-16 11:48:14.000,0.42.0,16.0,aequitas,,,,,148.0,142.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000,6.0,1639.0,1639.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+683,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,,64.0,30.0,31.0,5.0,24.0,556.0,Python module for machine learning time series:.,14.0,21,False,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,47.0,45.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,1400.0,1400.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+684,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2023-10-17 21:02:47.000000,2023-10-04 12:31:54,297.0,5.0,97.0,15.0,49.0,13.0,15.0,534.0,A library of metrics for evaluating recommender systems.,20.0,21,True,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,,45.0,45.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,10972.0,10972.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,
+685,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 08:06:41.000,2023-10-22 21:32:30.000000,2023-08-19 18:28:43,446.0,9.0,52.0,25.0,7.0,11.0,31.0,498.0,Active Learning for Text Classification in Python.,4.0,21,True,2023-08-19 18:16:36.000,1.3.2,19.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",23.0,23.0,https://pypi.org/project/small-text,2023-08-19 18:14:35.000,,375.0,681.0,https://anaconda.org/conda-forge/small-text,2023-08-19 18:38:17.816,4602.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+686,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2023-08-01 17:51:43.000000,2023-07-18 10:24:07,542.0,,35.0,14.0,222.0,15.0,40.0,473.0,Monitor the stability of a Pandas or Spark dataframe.,17.0,21,True,2023-07-18 10:32:00.587,1.4.6,36.0,popmon,,,,"['pandas', 'spark']",22.0,20.0,https://pypi.org/project/popmon,2023-07-18 10:32:00.587,2.0,7501.0,7503.0,,,,,,,,3.0,117.0,,,,,,,,,,,,,,,,,,,
+687,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2023-05-21 22:48:24.000000,2023-05-21 22:12:32,319.0,,94.0,26.0,6.0,4.0,25.0,470.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,8.0,21,True,2023-05-21 22:50:00.406,0.1.716,142.0,autoviml,,,,,24.0,22.0,https://pypi.org/project/autoviml,2022-06-01 23:08:15.000,2.0,1207.0,1207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+688,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 15:04:58.000,2023-10-24 08:27:27.000000,2023-10-23 12:23:35,1565.0,24.0,56.0,6.0,186.0,38.0,76.0,422.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,18.0,21,False,2023-08-10 10:58:42.000,0.4.3,21.0,quantus,,,,,19.0,18.0,https://pypi.org/project/quantus,2023-08-10 10:58:42.000,1.0,395.0,401.0,,,,,,,,3.0,136.0,,,,,,,,,,,,,,,,,,,
+689,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-02-13 14:39:22.000000,2020-05-11 14:32:38,782.0,,78.0,24.0,11.0,48.0,49.0,411.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,120.0,106.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,14.0,5408.0,5408.0,,,,,,,,3.0,77.0,,,,,,,,,,,,,,,,,,,
+690,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2023-10-01 02:15:36.000000,2023-10-01 02:13:38,646.0,7.0,60.0,29.0,414.0,11.0,91.0,363.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,21,True,2023-07-18 13:09:18.000,4.0.0,28.0,vega,conda-forge/vega,,,['jupyter'],2.0,2.0,https://pypi.org/project/vega,,,15988.0,22459.0,https://anaconda.org/conda-forge/vega,2023-06-16 13:18:03.216,569513.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+691,TimeSide,Parisson/TimeSide,audio,,https://github.com/yomguy/TimeSide,https://github.com/yomguy/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2023-10-24 10:20:08.000000,2023-02-01 10:38:52,3728.0,,60.0,27.0,110.0,32.0,184.0,356.0,scalable audio processing framework and server written in Python.,22.0,21,False,2023-01-03 17:34:09.000,1.1.3,6.0,TimeSide,,,,,16.0,16.0,https://pypi.org/project/TimeSide,,,90.0,90.0,,,,,,,,3.0,,,,,,,,yomguy/TimeSide,,,,,,,,,,,,
+692,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,,47.0,10.0,37.0,28.0,37.0,341.0,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,,,,,207.0,203.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,4.0,4762.0,4762.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+693,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2023-08-30 14:32:48.000000,2023-08-27 21:31:43,511.0,1.0,37.0,5.0,12.0,5.0,45.0,300.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,12.0,21,True,2022-05-07 07:58:05.000,0.7.0,22.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],24.0,,https://pypi.org/project/scikit-posthocs,2022-05-07 07:58:05.000,24.0,74925.0,99811.0,https://anaconda.org/conda-forge/scikit-posthocs,2023-06-16 19:23:09.531,895914.0,,,,,3.0,37.0,,,,,,,,,,,,,,,,,,,
+694,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2023-06-16 19:26:58.237000,2022-12-12 14:53:36,244.0,,25.0,8.0,4.0,19.0,59.0,263.0,Multiple Imputation with LightGBM in Python.,6.0,21,False,2022-12-12 15:14:00.508,5.6.3,44.0,miceforest,conda-forge/miceforest,,,,97.0,95.0,https://pypi.org/project/miceforest,2022-04-15 14:53:33.000,2.0,24941.0,25353.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,11144.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+695,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2023-10-13 23:30:32.439000,2022-09-26 07:14:12,621.0,,65.0,27.0,29.0,30.0,113.0,254.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",19.0,21,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,,12.0,,https://pypi.org/project/somoclu,2023-02-18 02:51:08.166,12.0,2074.0,4366.0,https://anaconda.org/conda-forge/somoclu,2023-10-13 23:30:32.439,81918.0,,,,,3.0,1809.0,,,,,,,,,,,,,,,,,,,
+696,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 15:02:43.000,2023-10-18 07:16:12.000000,2023-10-18 07:16:11,576.0,8.0,33.0,25.0,629.0,21.0,126.0,229.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,21,False,2023-08-10 10:30:37.000,0.13.0,20.0,larq-compute-engine,,,,,7.0,7.0,https://pypi.org/project/larq-compute-engine,2023-08-10 10:30:37.000,,1230.0,1252.0,,,,,,,,3.0,973.0,,,,,,,,,,,,,,,,,,,
+697,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 18:34:42,577.0,2.0,19.0,19.0,464.0,90.0,76.0,224.0,Functional tensors for probabilistic programming.,11.0,21,False,2023-08-31 18:37:22.000,0.4.6,12.0,funsor,,,,['pytorch'],60.0,57.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,3.0,14056.0,14056.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+698,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2023-10-19 02:22:22.000000,2023-10-19 02:11:57,190.0,2.0,1142.0,99.0,47.0,361.0,276.0,5956.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,31.0,20,True,,,1.0,pyslowfast,,,,['pytorch'],14.0,14.0,https://pypi.org/project/pyslowfast,2020-01-15 23:51:07.000,,15.0,15.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+699,tf-quant-finance,google/tf-quant-finance,financial-data,,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000,2023-10-06 13:06:28.000000,2023-08-15 07:38:22,956.0,2.0,532.0,167.0,45.0,36.0,28.0,4042.0,High-performance TensorFlow library for quantitative finance.,47.0,20,True,,,30.0,tf-quant-finance,,,,['tensorflow'],2.0,,https://pypi.org/project/tf-quant-finance,2022-08-19 12:40:54.257,2.0,387.0,387.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+700,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2023-04-26 19:35:05.000000,2023-04-26 19:32:49,683.0,,482.0,216.0,16.0,24.0,4.0,3208.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2023-04-26 19:36:36.846,0.11.12,13.0,finmarketpy,,,,,10.0,10.0,https://pypi.org/project/finmarketpy,2021-10-07 14:58:03.000,,114.0,114.0,,,,,,,,3.0,47.0,,,,,,,,,,,,,,,,,,,
+701,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,,443.0,168.0,120.0,14.0,112.0,2918.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,38.0,20,True,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,9.0,9.0,https://pypi.org/project/nlp-architect,,,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+702,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,,398.0,101.0,54.0,64.0,48.0,2891.0,Quickly search over billions of images.,19.0,20,True,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,4.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,4.0,510.0,510.0,,,,,,,,3.0,,,,,,,,rhsimplex/image-match,,,,,,,,,,,,
+703,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2023-10-18 01:38:32.000000,2021-05-06 12:10:38,127.0,,148.0,50.0,53.0,,30.0,2887.0,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,20,False,2021-05-01 13:59:02.000,0.0.11,2.0,opyrator,conda-forge/opyrator,,,,46.0,46.0,https://pypi.org/project/opyrator,,,45.0,108.0,https://anaconda.org/conda-forge/opyrator,2023-06-18 08:40:31.958,1337.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+704,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2023-10-11 16:38:54.000000,2021-06-15 18:41:51,22.0,,259.0,33.0,19.0,23.0,37.0,2803.0,A small package to create visualizations of PyTorch execution graphs.,6.0,20,False,,,,,,,,,1374.0,1374.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+705,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2023-06-14 23:22:41.000000,2020-04-02 01:05:35,46.0,,827.0,87.0,30.0,45.0,80.0,2595.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,75.0,68.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,7.0,829.0,829.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+706,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,,448.0,128.0,225.0,87.0,183.0,2272.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,38.0,20,True,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,89.0,89.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+707,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,,252.0,54.0,35.0,14.0,105.0,1971.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,20,True,2021-11-06 23:08:36.000,1.4.4,21.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,,,2180.0,2180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+708,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,,173.0,55.0,895.0,129.0,586.0,1858.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",49.0,20,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,20.0,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,1019.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+709,Lambda Networks,lucidrains/lambda-networks,pytorch-utils,,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30,31.0,,157.0,46.0,3.0,13.0,15.0,1530.0,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,20,False,2020-11-18 08:18:54.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],15.0,15.0,https://pypi.org/project/lambda-networks,,,3184.0,3184.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+710,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2023-09-15 04:35:29.000000,2023-09-15 04:35:29,906.0,1.0,206.0,57.0,52.0,71.0,148.0,1504.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,35.0,20,True,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000,,349.0,381.0,,,,,,,,3.0,2691.0,,,,,,,,,,,,,,,,,,,
+711,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,,401.0,102.0,36.0,11.0,24.0,1398.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,,['tensorflow'],31.0,31.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,59.0,59.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+712,jraph,deepmind/jraph,graph,,https://github.com/google-deepmind/jraph,https://github.com/google-deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2023-06-16 19:27:46.249000,2022-08-31 13:13:15,103.0,,77.0,39.0,14.0,12.0,26.0,1233.0,A Graph Neural Network Library in Jax.,17.0,20,False,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,,['jax'],111.0,105.0,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,6.0,6353.0,6509.0,https://anaconda.org/conda-forge/jraph,2023-06-16 19:27:46.249,3761.0,,,,,3.0,,,,,,,,google-deepmind/jraph,,,,,,,,,,,,
+713,TensorNets,taehoonlee/tensornets,tensorflow-utils,,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24,284.0,,184.0,52.0,12.0,16.0,42.0,1010.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],75.0,71.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,96.0,96.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+714,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,,166.0,56.0,14.0,30.0,19.0,1007.0,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,,,,175.0,163.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,12.0,743.0,1005.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,7617.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+715,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2023-08-31 02:18:51.000000,2023-08-31 02:18:51,427.0,4.0,180.0,62.0,7.0,13.0,29.0,975.0,"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.",5.0,20,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,4.0,4.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,173.0,173.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+716,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2023-09-12 16:10:40.000000,2020-04-17 02:27:44,79.0,,130.0,26.0,74.0,41.0,36.0,972.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,20,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,2.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,2.0,266482.0,266657.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,7530.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+717,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2023-09-04 22:14:55.000000,2023-09-04 22:14:55,303.0,2.0,86.0,18.0,72.0,18.0,42.0,903.0,Audio processing by using pytorch 1D convolution network.,15.0,20,True,2020-11-08 10:18:26.000,0.2.0,2.0,nnAudio,,,,,131.0,131.0,https://pypi.org/project/nnAudio,,,4675.0,4675.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+718,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2023-03-30 20:05:58.000000,2019-11-15 21:43:53,221.0,,159.0,76.0,98.0,51.0,43.0,753.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,20,False,2018-11-16 20:50:02.000,0.6.0,6.0,tensorframes,,,,"['tensorflow', 'spark']",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000,1.0,27968.0,27968.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+719,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,,146.0,38.0,33.0,25.0,39.0,747.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",19.0,20,True,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,107.0,91.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,16.0,667.0,667.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+720,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2023-07-02 20:27:29.000000,2021-07-30 15:06:27,104.0,,127.0,30.0,28.0,21.0,34.0,739.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,20,False,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],44.0,42.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,2.0,625.0,625.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+721,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,,137.0,25.0,19.0,20.0,4.0,729.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,20,False,,,1.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],535.0,535.0,https://pypi.org/project/treeinterpreter,,,83037.0,83189.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,5474.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+722,combo,yzhao062/combo,sklearn-utils,,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000,2023-01-14 04:46:24.000000,2023-01-14 04:46:24,210.0,,105.0,30.0,1.0,13.0,3.0,629.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,20,True,2020-02-19 02:11:55.000,V0.1.0,1.0,combo,,,,"['sklearn', 'xgboost']",581.0,581.0,https://pypi.org/project/combo,,,75606.0,75606.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+723,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000,2022-12-26 20:24:35.000000,2019-10-21 07:52:07,46.0,,52.0,30.0,12.0,11.0,15.0,625.0,Log TensorBoard events without touching TensorFlow.,5.0,20,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,207.0,155.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,52.0,4927.0,4927.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+724,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2023-07-28 19:05:13.000000,2022-02-09 16:35:40,142.0,,105.0,24.0,25.0,43.0,61.0,602.0,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'],152.0,150.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,1653.0,1769.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,3259.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+725,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,,2018-02-18 13:42:47.000,2023-02-14 11:18:28.000000,2023-02-14 11:18:28,249.0,,88.0,26.0,31.0,28.0,6.0,563.0,machine learning with logical rules in Python.,19.0,20,False,2020-12-11 09:37:02.000,1.0.1,1.0,skope-rules,,,,['sklearn'],321.0,321.0,https://pypi.org/project/skope-rules,,,62952.0,62952.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+726,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2023-07-09 16:15:44.000000,2023-07-09 16:09:49,767.0,,62.0,18.0,111.0,8.0,47.0,552.0,A simplified framework and utilities for PyTorch.,20.0,20,False,2023-07-09 16:15:44.000,1.17.1,37.0,poutyne,,,,['pytorch'],122.0,122.0,https://pypi.org/project/poutyne,,,6070.0,6070.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+727,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,,164.0,56.0,20.0,39.0,60.0,535.0,Bayesian inference in HSMMs and HMMs.,13.0,20,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,31.0,26.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,5.0,87.0,87.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+728,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2023-06-16 16:14:43.440000,2021-12-19 09:41:43,133.0,,51.0,11.0,20.0,11.0,37.0,503.0,Joyplots in Python with matplotlib & pandas.,6.0,20,False,,,5.0,joypy,conda-forge/joypy,,,,314.0,314.0,https://pypi.org/project/joypy,,,15942.0,16354.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,22667.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+729,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-03-27 07:10:33.000000,2023-03-27 07:10:33,410.0,,52.0,60.0,8.0,20.0,24.0,501.0,Python library assists deep learning on graphs.,17.0,20,True,2021-09-05 23:08:21.000,0.2.1,3.0,deepsnap,,,,,68.0,68.0,https://pypi.org/project/deepsnap,,,427.0,427.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,
+730,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2023-09-06 11:08:57.000000,2021-11-18 21:06:54,172.0,,46.0,10.0,9.0,12.0,20.0,480.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,20,False,2020-09-28 07:19:15.000,0.6.0,13.0,apricot-select,,,,,83.0,75.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000,8.0,3888.0,3888.0,,,,,,,,3.0,27.0,,,,,,,,,,,,,,,,,,,
+731,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2023-10-23 13:25:23.000000,2023-10-23 13:25:22,2734.0,89.0,59.0,12.0,244.0,9.0,106.0,404.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,22.0,20,True,2023-07-13 11:41:03.541,0.1.2,12.0,pykale,,,,['pytorch'],1.0,1.0,https://pypi.org/project/pykale,2022-04-12 08:56:50.000,,17.0,17.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+732,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,,79.0,20.0,247.0,7.0,23.0,389.0,A toolkit that streamlines and automates the generation of model cards.,22.0,20,True,2023-04-03 17:58:08.000,2.0.0,9.0,model-card-toolkit,,,,,21.0,21.0,https://pypi.org/project/model-card-toolkit,,,1309.0,1309.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,,
+733,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2023-09-06 17:29:29.000000,2023-09-06 17:29:29,2412.0,2.0,52.0,24.0,231.0,57.0,195.0,376.0,Studio: Simplify and expedite model building process.,24.0,20,True,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,5.0,5.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,124.0,124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+734,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,,26.0,10.0,9.0,2.0,9.0,376.0,Fast PyTorch based DSP for audio and 1D signals.,2.0,20,False,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,,['pytorch'],709.0,703.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,6.0,155630.0,155630.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+735,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42.0,,46.0,26.0,19.0,15.0,16.0,325.0,Logging MXNet data for visualization in TensorBoard.,9.0,20,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],226.0,219.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,7.0,6613.0,6613.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+736,sk-dist,Ibotta/sk-dist,distributed-ml,,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000,2023-03-23 15:39:49.000000,2023-02-07 20:17:52,60.0,,56.0,26.0,41.0,8.0,10.0,286.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,20,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,,"['sklearn', 'spark']",18.0,16.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,238716.0,238716.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+737,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/hex-inc/vegafusion,https://github.com/hex-inc/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2023-10-24 10:52:53.454000,2023-10-23 23:18:36,605.0,22.0,10.0,22.0,286.0,40.0,70.0,272.0,Serverside scaling for Vega and Altair visualizations.,3.0,20,False,2023-10-23 23:36:54.000,1.4.2,58.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,2.0,,https://pypi.org/project/vegafusion-jupyter,2023-10-23 23:22:41.000,1.0,641.0,5421.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2023-10-24 10:52:53.454,77557.0,,,,,3.0,4798.0,,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2023-10-23 23:28:36.244,1.0,471.0,hex-inc/vegafusion,,,,,,,,,,,,
+738,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2023-10-25 10:50:19.000000,2023-10-25 10:48:55,404.0,20.0,71.0,23.0,419.0,16.0,51.0,260.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,31.0,20,False,2022-06-03 15:51:13.000,0.2.0,21.0,pipeline-dp,,,,,1.0,1.0,https://pypi.org/project/pipeline-dp,,,277.0,277.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+739,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2023-10-26 13:16:26.000000,2023-10-26 13:16:25,636.0,47.0,20.0,4.0,246.0,,,253.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML pipeline from..,9.0,20,False,2023-09-08 15:06:42.000,1.1.186,81.0,upgini,,,,,4.0,4.0,https://pypi.org/project/upgini,,,4431.0,4431.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+740,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 15:02:54.000000,2018-12-08 15:02:12,153.0,,31.0,9.0,4.0,20.0,29.0,228.0,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:02:54.000,0.4.6,12.0,pyfasttext,,,,,365.0,365.0,https://pypi.org/project/pyfasttext,,,2463.0,2467.0,,,,,,,,3.0,365.0,,,,,,,,,,,,,,,,,,,
+741,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2023-10-05 07:27:18.000000,2023-07-02 18:02:16,1462.0,,44.0,14.0,146.0,17.0,62.0,228.0,Python Implementation and Extension of RDF2Vec.,7.0,20,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,37.0,35.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,2.0,235.0,235.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+742,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2023-07-26 15:59:24.000000,2023-07-21 09:03:49,260.0,,31.0,12.0,197.0,21.0,73.0,183.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",11.0,20,False,2023-07-26 15:36:39.000,0.7.3,15.0,celer,,,,['sklearn'],29.0,28.0,https://pypi.org/project/celer,2023-07-26 15:36:39.000,1.0,1279.0,1279.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+743,graph-nets,deepmind/graph_nets,graph,,https://github.com/google-deepmind/graph_nets,https://github.com/google-deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2022-12-12 11:28:07.000000,2022-12-12 11:28:07,48.0,,779.0,224.0,25.0,7.0,122.0,5293.0,Build Graph Nets in Tensorflow.,11.0,19,True,,,,graph-nets,,,,['tensorflow'],20.0,20.0,https://pypi.org/project/graph-nets,,,941.0,941.0,,,,,,,,3.0,,,,,,,,google-deepmind/graph_nets,,,,,,,,,,,,
+744,gpt-2-simple,minimaxir/gpt-2-simple,nlp,,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,,2019-04-13 20:00:52.000,2022-12-14 11:50:45.000000,2022-05-22 02:02:04,149.0,,648.0,77.0,53.0,160.0,101.0,3330.0,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,21.0,19,False,2021-10-18 02:38:39.000,0.8.1,17.0,gpt-2-simple,,,,['tensorflow'],,,https://pypi.org/project/gpt-2-simple,,,3387.0,3396.0,,,,,,,,3.0,534.0,,,,,,,,,,,,,,,,,,,
+745,igel,nidhaloff/igel,hyperopt,,https://github.com/nidhaloff/igel,https://github.com/nidhaloff/igel,MIT,2020-08-27 20:54:59.000,2023-04-08 21:24:52.000000,2023-04-08 21:24:51,429.0,,168.0,65.0,54.0,6.0,44.0,3066.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",20.0,19,True,2021-11-19 16:51:47.000,1.0.0,34.0,igel,,,,,4.0,4.0,https://pypi.org/project/igel,2021-11-19 16:45:29.543,,78.0,79.0,,,,,,,,3.0,40.0,,,,,,,,,,,,,,,,,,,
+746,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2023-07-23 10:44:20.000000,2019-03-06 17:01:45,27.0,,327.0,75.0,2.0,18.0,7.0,2901.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,19,False,2019-03-06 16:44:42.000,0.0.5,1.0,adabound,,,,['pytorch'],179.0,179.0,https://pypi.org/project/adabound,,,1587.0,1587.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+747,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2023-10-26 13:44:42.000000,2023-10-24 00:07:40,630.0,51.0,347.0,36.0,751.0,149.0,105.0,2566.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,72.0,19,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+748,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,,358.0,86.0,4.0,3.0,18.0,2110.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,19,False,,,,pdftabextract,,,,,47.0,47.0,https://pypi.org/project/pdftabextract,,,223.0,223.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+749,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2023-08-26 21:36:44.000000,2023-08-26 20:55:56,106.0,1.0,230.0,62.0,105.0,25.0,56.0,2084.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,19,True,2021-05-21 00:29:47.000,0.2,3.0,pycls,,,,['pytorch'],16.0,16.0,https://pypi.org/project/pycls,2020-09-05 00:21:00.000,,708.0,708.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+750,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,,128.0,102.0,150.0,15.0,20.0,1548.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,19,False,2020-05-05 20:16:54.000,0.8.3,1.0,lore,,,,,20.0,20.0,https://pypi.org/project/lore,,,704.0,704.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+751,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2023-10-23 21:43:11.000000,2023-07-19 02:39:43,450.0,,111.0,19.0,154.0,13.0,105.0,1052.0,A standard framework for modelling Deep Learning Models for tabular data.,16.0,19,True,2023-06-01 06:16:39.000,1.0.2,11.0,pytorch_tabular,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_tabular,2021-09-01 11:51:30.000,2.0,3870.0,3870.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,,
+752,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 20:33:32.000000,2022-02-02 20:33:18,124.0,,140.0,17.0,11.0,41.0,43.0,998.0,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,19,False,2022-02-02 20:33:33.000,1.1.4,80.0,performer-pytorch,,,,['pytorch'],99.0,99.0,https://pypi.org/project/performer-pytorch,,,6496.0,6496.0,,,,,,,,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,,133.0,36.0,16.0,8.0,3.0,918.0,Nudity detection with Python.,12.0,19,False,,,,nudepy,,,,,3543.0,3543.0,https://pypi.org/project/nudepy,,,1560.0,1560.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+754,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,,144.0,15.0,24.0,58.0,69.0,841.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,85.0,84.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,357.0,357.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+755,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2023-06-19 20:23:17.000000,2022-10-01 22:21:50,400.0,,225.0,31.0,38.0,39.0,20.0,804.0,An open source python library for scalable Bayesian optimisation.,13.0,19,True,2022-10-01 22:28:00.848,0.1.7,10.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,2.0,31683.0,31683.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+756,Auto TS,AutoViML/Auto_TS,time-series-data,,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000,2023-09-01 17:23:43.000000,2023-05-17 01:16:05,274.0,,105.0,19.0,20.0,1.0,82.0,624.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",9.0,19,True,2023-05-17 01:18:01.881,0.0.71,34.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2022-08-16 12:44:30.642,,3979.0,3979.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+757,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2023-10-03 22:41:56.000000,2021-09-16 17:56:31,171.0,,143.0,35.0,80.0,14.0,55.0,591.0,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'],21.0,18.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,123.0,123.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+758,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2023-09-22 14:57:35.000000,2023-09-22 14:57:01,815.0,6.0,38.0,15.0,17.0,,20.0,578.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,19,True,2023-09-22 14:58:06.000,3.1.3,27.0,opytimizer,,,,,15.0,15.0,https://pypi.org/project/opytimizer,2022-05-04 20:51:15.000,,276.0,276.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+759,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2023-06-16 16:12:33.889000,2022-06-08 03:46:02,305.0,,102.0,10.0,14.0,5.0,16.0,562.0,Make Waffle Charts in Python.,6.0,19,False,,,5.0,pywaffle,conda-forge/pywaffle,,,,280.0,280.0,https://pypi.org/project/pywaffle,,,4158.0,4347.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,10982.0,,,,,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,,71.0,40.0,17.0,13.0,22.0,554.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,20.0,19,True,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,34.0,30.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,356.0,356.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+761,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2023-10-04 01:35:07.000000,2023-09-04 05:41:43,372.0,1.0,95.0,28.0,21.0,37.0,10.0,464.0,A python library for Bayesian time series modeling.,6.0,19,True,2023-05-07 06:30:08.000,0.1.1.12,1.0,pydlm,,,,,32.0,32.0,https://pypi.org/project/pydlm,,,32170.0,32170.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+762,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2023-08-12 16:28:59.000000,2023-08-12 16:28:59,266.0,1.0,104.0,19.0,56.0,27.0,20.0,459.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,19,True,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,61.0,53.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000,8.0,4618.0,4618.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+763,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2023-10-13 05:08:46.000000,2023-10-13 05:07:33,152.0,62.0,20.0,6.0,41.0,1.0,7.0,429.0,"Multi-Modal AI library for Multi-Lingual Text, Image, and Video Search, Recommendations, and other Vision-Language..",9.0,19,True,2023-10-13 05:08:46.000,0.4.8,24.0,uform,,,,['pytorch'],7.0,7.0,https://pypi.org/project/uform,2023-10-13 05:08:46.000,,830.0,830.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+764,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2023-10-01 09:55:27.000000,2023-10-01 09:55:27,362.0,1.0,95.0,18.0,3.0,5.0,27.0,415.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some..",6.0,19,True,2022-02-16 06:14:54.000,0.0.17,17.0,chefboost,,,,,48.0,48.0,https://pypi.org/project/chefboost,2022-02-16 06:14:54.000,,381.0,381.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+765,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2023-10-21 13:33:43.000000,2023-10-21 13:33:17,4711.0,14.0,37.0,13.0,1.0,2.0,80.0,398.0,Deep Learning PyTorch.,1.0,19,True,2023-04-22 01:50:50.000,0.4.1,26.0,carefree-learn,,,,['pytorch'],4.0,4.0,https://pypi.org/project/carefree-learn,,,369.0,369.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+766,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2023-09-12 10:58:23.000000,2023-09-12 10:58:23,69.0,3.0,56.0,8.0,10.0,7.0,13.0,345.0,TextAugment: Text Augmentation Library.,8.0,19,True,2020-11-05 15:04:26.000,1.3.4,8.0,textaugment,,,,,64.0,64.0,https://pypi.org/project/textaugment,,,3413.0,3414.0,,,,,,,,3.0,62.0,,,,,,,,,,,,,,,,,,,
+767,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2023-10-24 22:07:09.000000,2023-08-16 21:27:14,316.0,1.0,78.0,26.0,326.0,21.0,9.0,324.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,33.0,19,True,2023-05-03 22:54:39.000,0.44.0,23.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,,,4692.0,4692.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+768,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2023-10-13 18:39:59.000000,2023-10-13 18:12:44,396.0,3.0,128.0,35.0,320.0,79.0,126.0,314.0,Brain Imaging Analysis Kit.,35.0,19,True,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,1.0,,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000,1.0,139.0,156.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,1570.0,3.0,,,,,,,,,,,,,,,,,,,,
+769,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 08:22:26,367.0,4.0,32.0,18.0,6.0,18.0,21.0,302.0,,28.0,19,False,,,,dm-launchpad,,,,['tensorflow'],71.0,71.0,https://pypi.org/project/dm-launchpad,,,2076.0,2076.0,,,,,,,,3.0,,,,,,,,google-deepmind/launchpad,,,,,,,,,,,,
+770,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2023-07-06 22:38:10.000000,2023-01-26 17:04:18,400.0,,98.0,18.0,386.0,65.0,86.0,240.0,An open-source toolkit for large-scale genomic analysis.,24.0,19,False,2022-04-21 00:32:28.000,1.2.1,15.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,2022-04-19 23:43:38.000,,51050.0,51164.0,https://anaconda.org/conda-forge/glow,2023-06-16 19:24:57.965,3657.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+771,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,BSD-3-Clause,2021-06-03 12:39:38.000,2023-10-20 19:55:57.000000,2023-10-20 19:55:57,417.0,17.0,47.0,14.0,72.0,11.0,32.0,216.0,Represent trained machine learning models as Pyomo optimization formulations.,16.0,19,False,2022-01-21 16:05:52.000,0.3.1,7.0,omlt,,,,,1.0,,https://pypi.org/project/omlt,2022-02-08 01:23:07.000,1.0,7301.0,7301.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+772,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2023-05-01 07:53:03.000000,2023-05-01 07:50:02,24.0,,23.0,8.0,11.0,5.0,9.0,209.0,A Python module to convert natural language numerics into ints and floats.,4.0,19,False,2023-01-03 08:04:12.000,0.2.2,3.0,numerizer,,,,,61.0,61.0,https://pypi.org/project/numerizer,,,59134.0,59134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+773,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2023-10-19 21:48:05.000000,2020-04-18 19:15:25,24.0,,797.0,126.0,36.0,28.0,8.0,6428.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,18,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],32.0,30.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,2.0,623.0,623.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+774,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,,872.0,108.0,51.0,43.0,159.0,6113.0,Model parallel transformers in JAX and Haiku.,23.0,18,True,,,,,,,,['jax'],20.0,20.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+775,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,,2019-12-06 08:25:24.000,2023-05-16 10:47:48.000000,2023-05-10 04:35:39,269.0,,307.0,61.0,242.0,169.0,109.0,2956.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,17.0,18,False,2022-11-02 09:30:27.000,3.0.1,13.0,lightseq,,,,,,,https://pypi.org/project/lightseq,,,1346.0,1360.0,,,,,,,,3.0,671.0,,,,,,,,,,,,,,,,,,,
+776,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,,413.0,110.0,83.0,67.0,48.0,2911.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,112.0,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,8536.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+777,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2023-03-03 23:59:33.000000,2022-05-24 23:48:09,791.0,,71.0,24.0,1004.0,127.0,65.0,1630.0,Version control for machine learning.,17.0,18,False,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,1.0,,https://pypi.org/project/keepsake,2021-01-25 21:51:16.000,1.0,366.0,366.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+778,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-07-26 02:42:57.000000,2023-03-14 23:02:49,75.0,,162.0,24.0,18.0,13.0,30.0,1483.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,18,True,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,4.0,4.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,78.0,78.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,,,
+779,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,,250.0,57.0,65.0,8.0,31.0,1338.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,18,False,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,2.0,2.0,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,69.0,69.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+780,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,,96.0,41.0,13.0,13.0,9.0,1262.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,18,False,,,,doc2text,,,,,104.0,104.0,https://pypi.org/project/doc2text,,,3322.0,3322.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+781,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2023-06-16 19:21:11.893000,2022-02-14 20:43:06,145.0,,158.0,18.0,41.0,21.0,59.0,841.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,18,False,2020-12-01 06:11:12.000,1.2.1.post2,10.0,robustness,conda-forge/robustness,,,,156.0,153.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,3.0,225.0,428.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,7720.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+782,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,,95.0,20.0,58.0,2.0,13.0,718.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,18,True,2021-10-06 07:29:20.000,2.0.3,13.0,caer,,,https://caer.rtfd.io,,,,https://pypi.org/project/caer,,,2882.0,2882.0,,,,,,,,3.0,28.0,,,,,,,,,,,,,,,,,,,
+783,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 18:53:18,1296.0,6.0,121.0,43.0,435.0,25.0,130.0,699.0,GPU accelerated signal processing.,46.0,18,True,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+784,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2023-10-01 08:59:57.840000,2021-04-11 07:50:00,405.0,,29.0,19.0,42.0,6.0,18.0,594.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,False,2020-11-15 13:40:18.000,0.4.2,15.0,baikal,conda-forge/cython-blis,,,,9.0,8.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,238.0,54236.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,1997936.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+785,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775.0,,137.0,59.0,72.0,18.0,71.0,523.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",16.0,18,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,17.0,17.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,67.0,67.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+786,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2023-10-25 00:20:13.000000,2022-08-24 08:31:37,29.0,,63.0,6.0,5.0,2.0,26.0,496.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,2.0,18,False,2022-08-24 08:33:07.000,0.2.6,9.0,shap-hypetune,,,,,16.0,15.0,https://pypi.org/project/shap-hypetune,2022-08-24 08:33:00.976,1.0,4335.0,4335.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+787,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-12-15 19:23:10.000000,2022-05-23 17:26:29,339.0,,30.0,16.0,148.0,39.0,66.0,452.0,A High Level API for Deep Learning in JAX.,18.0,18,False,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,,"['tensorflow', 'jax']",40.0,40.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,243.0,243.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+788,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2023-06-16 16:14:07.121000,2020-10-05 06:14:18,178.0,,39.0,11.0,29.0,17.0,17.0,402.0,A python package for animating plots build on matplotlib.,7.0,18,False,2020-10-05 06:20:52.000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,56.0,54.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000,2.0,276.0,498.0,https://anaconda.org/conda-forge/animatplot,2023-06-16 16:14:07.121,12462.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+789,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2023-10-26 14:36:48.000000,2023-10-12 13:28:12,132.0,19.0,37.0,19.0,162.0,3.0,63.0,402.0,A collection of tools for neural compression enthusiasts.,9.0,18,True,2023-10-03 14:25:36.000,0.3.1,6.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,,,391.0,391.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+790,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2023-01-15 22:50:39.000000,2023-01-13 21:57:34,832.0,,41.0,,,,,358.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,18,True,2023-03-23 17:16:00.413,0.12.0,48.0,sklearn-evaluation,,,,['sklearn'],5.0,,https://pypi.org/project/sklearn-evaluation,2020-12-28 15:13:44.000,5.0,16750.0,16750.0,,,,,,,,3.0,,,,,,,,,,,,,8.0,,,,,,,
+791,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823.0,,51.0,11.0,60.0,17.0,41.0,325.0,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,18,False,2020-07-31 05:29:09.000,1.0.7,8.0,parameter-sherpa,,,,,35.0,31.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,4.0,193.0,193.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+792,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2023-01-11 12:25:50.000000,2023-01-11 12:11:20,623.0,,40.0,12.0,60.0,3.0,56.0,305.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,18,True,2023-01-11 12:30:05.335,2.0.9,35.0,ivis,,,,['tensorflow'],32.0,30.0,https://pypi.org/project/ivis,2022-03-10 14:57:02.000,2.0,180.0,180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+793,textpipe,textpipe/textpipe,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53,371.0,,27.0,22.0,239.0,24.0,25.0,299.0,Textpipe: clean and extract metadata from text.,29.0,18,False,2021-01-25 14:05:21.000,0.12.2,39.0,textpipe,,,,,9.0,8.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000,1.0,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+794,solt,Oulu-IMEDS/solt,image,,https://github.com/Oulu-IMEDS/solt,https://github.com/Oulu-IMEDS/solt,MIT,2018-08-02 15:09:05.000,2023-07-17 13:39:53.000000,2022-07-12 07:44:31,366.0,,19.0,6.0,31.0,20.0,39.0,258.0,Streaming over lightweight data transformations.,5.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,53.0,50.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,267.0,267.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+795,nvidia-ml-py3,nicolargo/nvidia-ml-py3,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000,2023-07-28 07:11:13.000000,2019-03-06 20:41:09,5.0,,57.0,5.0,2.0,2.0,1.0,116.0,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,,,,8380.0,8208.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,172.0,245039.0,245075.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,998.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+796,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/google-deepmind/lab,https://github.com/google-deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,,1383.0,471.0,21.0,59.0,166.0,6924.0,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,,,,,,,,,,,,
+797,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,,258.0,52.0,13.0,20.0,13.0,1529.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000,,46.0,69.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1683.0,3.0,,,,,,,,,,,,,,,,,,,,
+798,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,,86.0,34.0,72.0,25.0,30.0,1090.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,17,False,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,,['pytorch'],,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,,4117.0,4117.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+799,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2023-03-19 22:55:22.000000,2021-03-15 07:00:08,66.0,,112.0,21.0,37.0,20.0,8.0,1037.0,Distributed Computing for AI Made Simple.,5.0,17,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,65.0,64.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,59.0,59.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+800,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2023-06-16 19:27:38.210000,2022-04-07 20:49:56,235.0,,36.0,13.0,13.0,8.0,16.0,743.0,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,17,False,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],26.0,26.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,2480.0,2591.0,https://anaconda.org/conda-forge/tensor-sensor,2023-06-16 19:27:38.210,2682.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+801,matrixprofile-ts,target/matrixprofile-ts,time-series-data,,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000,2023-04-23 10:08:18.000000,2020-04-25 18:37:42,198.0,,101.0,26.0,48.0,19.0,35.0,720.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,17,False,,,,matrixprofile-ts,,,,,21.0,21.0,https://pypi.org/project/matrixprofile-ts,,,320.0,320.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+802,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,,55.0,13.0,10.0,26.0,17.0,719.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,17,False,2022-07-27 19:51:53.000,1.2.7,8.0,parallelformers,,,,,36.0,36.0,https://pypi.org/project/parallelformers,,,2591.0,2591.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+803,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2023-09-26 02:55:16.000000,2023-09-26 02:55:09,610.0,2.0,87.0,25.0,4.0,36.0,42.0,676.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,11.0,17,True,2022-09-19 20:15:07.376,0.3.17,25.0,thundergbm,,,,,2.0,2.0,https://pypi.org/project/thundergbm,2022-09-19 20:15:07.376,,181.0,181.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+804,textflint,textflint/textflint,adversarial,,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000,2022-09-27 17:09:16.000000,2022-06-21 04:27:47,257.0,,93.0,18.0,19.0,3.0,29.0,619.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,17,False,2022-03-15 07:18:19.000,0.1.0,5.0,textflint,,,,,11.0,11.0,https://pypi.org/project/textflint,,,185.0,185.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+805,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2023-05-02 04:54:25.000000,2021-06-13 00:22:13,176.0,,118.0,19.0,17.0,67.0,24.0,507.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,17,False,,,,deepmatcher,,,,,25.0,25.0,https://pypi.org/project/deepmatcher,,,2151.0,2151.0,,,,,,,,3.0,,,,,,,,,,,,,-5.0,,,,,,,
+806,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2021-11-25 23:19:05.000000,2021-11-25 23:08:43,204.0,,88.0,24.0,18.0,7.0,20.0,448.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,17,False,2021-11-25 23:19:05.000,1.1.1,42.0,caserecommender,,,,['sklearn'],12.0,12.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000,,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+807,DESlib,scikit-learn-contrib/DESlib,sklearn-utils,,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000,2023-07-14 19:31:30.000000,2023-06-18 21:56:30,277.0,,74.0,14.0,126.0,15.0,136.0,446.0,A Python library for dynamic classifier and ensemble selection.,16.0,17,True,,,,deslib,,,,['sklearn'],44.0,44.0,https://pypi.org/project/deslib,,,956.0,956.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+808,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-08-05 05:40:16.000000,2019-03-27 03:17:24,122.0,,107.0,71.0,7.0,15.0,19.0,413.0,semantic similarity framework for knowledge graph.,5.0,17,False,,,,sematch,,,,,44.0,44.0,https://pypi.org/project/sematch,,,369.0,369.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+809,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,,29.0,11.0,121.0,31.0,150.0,345.0,Open source production model management tool for data scientists.,6.0,17,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+810,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2022-12-09 05:56:02.000000,2021-08-18 06:06:51,1404.0,,17.0,6.0,217.0,4.0,26.0,341.0,Camphr - NLP libary for creating pipeline components.,8.0,17,False,2023-03-07 22:10:10.175,0.8.9,49.0,camphr,,,,['spacy'],15.0,13.0,https://pypi.org/project/camphr,2020-02-17 07:50:16.000,2.0,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+811,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2023-10-26 04:10:03.000000,2023-10-04 14:18:48,810.0,4.0,21.0,7.0,68.0,26.0,18.0,322.0,Flexible time series feature extraction & processing.,6.0,17,True,2023-02-23 13:56:43.000,0.3.0,15.0,tsflex,conda-forge/tsflex,,,,9.0,9.0,https://pypi.org/project/tsflex,,,187.0,897.0,https://anaconda.org/conda-forge/tsflex,2023-06-16 19:26:46.251,19173.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+812,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2023-03-28 03:38:13.000000,2023-03-28 03:38:13,1094.0,,67.0,28.0,57.0,29.0,32.0,289.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,17,False,2021-05-15 01:39:45.000,0.3.0,9.0,bluefog,,,,['pytorch'],3.0,3.0,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,44.0,47.0,,,,,,,,3.0,147.0,,,,,,,,,,,,,,,,,,,
+813,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2023-10-03 23:52:47.440000,2023-07-17 09:18:00,166.0,,39.0,20.0,2.0,10.0,7.0,277.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,17,False,2020-10-01 13:20:38.000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],8.0,8.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000,,332.0,5059.0,https://anaconda.org/conda-forge/deepgraph,2023-10-03 23:52:47.440,170202.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+814,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2023-06-15 16:53:56.000000,2023-06-15 16:53:55,703.0,,43.0,11.0,59.0,29.0,47.0,229.0,Scikit-learn compatible estimation of general graphical models.,7.0,17,False,2018-09-12 01:11:31.000,0.2.8,6.0,skggm,,,,['sklearn'],12.0,12.0,https://pypi.org/project/skggm,,,44.0,44.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+815,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36,293.0,,33.0,14.0,36.0,8.0,44.0,223.0,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,24.0,22.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,68.0,68.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+816,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2023-10-03 10:26:05.000000,2023-04-22 13:39:45,369.0,,38.0,6.0,131.0,,35.0,218.0,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,17,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,1.0,,https://pypi.org/project/chitra,2021-06-19 15:04:46.000,1.0,400.0,529.0,https://anaconda.org/conda-forge/chitra,2023-06-18 08:40:33.534,2710.0,,,,,3.0,,,,,,,,aniketmaurya/chitra,,,,,,,,,,,,
+817,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,,751.0,337.0,58.0,,,6594.0,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,16,False,,,1.0,SerpentAI,,,,,,,https://pypi.org/project/SerpentAI,,,76.0,83.0,,,,,,,,3.0,310.0,,,,,,,,,,,,,,,,,,,
+818,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2023-07-06 21:55:15.000000,2023-01-03 11:24:22,166.0,,978.0,119.0,24.0,10.0,352.0,4115.0,An Open-Source Package for Neural Relation Extraction (NRE).,12.0,16,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+819,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2022-12-04 04:02:21.000000,2019-12-13 19:03:25,138.0,,539.0,178.0,110.0,54.0,149.0,3895.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+820,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2022-06-22 11:47:45.000000,2022-06-21 18:24:09,30.0,,996.0,60.0,12.0,43.0,25.0,3444.0,Implementation and experiments of graph embedding algorithms.,9.0,16,False,,,,,,,,['sklearn'],29.0,29.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+821,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2023-08-19 12:30:48.000000,2020-07-29 05:53:01,8.0,,560.0,141.0,28.0,217.0,102.0,2860.0,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'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000,,7.0,7.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+822,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,,165.0,61.0,10.0,26.0,6.0,1828.0,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,16,False,2019-04-05 06:51:04.000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,37.0,37.0,,,,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,,
+823,Tez,abhishekkrthakur/tez,pytorch-utils,,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000,2023-01-29 16:52:18.000000,2022-09-16 11:03:31,144.0,,143.0,18.0,11.0,23.0,18.0,1154.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,16,False,2021-08-16 18:42:17.000,0.1.8,1.0,tez,,,,['pytorch'],46.0,46.0,https://pypi.org/project/tez,,,163.0,163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+824,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2023-10-21 13:07:29.000000,2023-10-21 13:07:20,740.0,5.0,113.0,27.0,109.0,9.0,23.0,1014.0,An autoML framework & toolkit for machine learning on graphs.,15.0,16,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,,6.0,6.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+825,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,,145.0,45.0,5.0,3.0,7.0,946.0,XAI - An eXplainability toolbox for machine learning.,3.0,16,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,28.0,22.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,6.0,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+826,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2023-04-11 19:24:43.000000,2023-04-11 19:24:38,24.0,,56.0,18.0,7.0,1.0,10.0,787.0,MADGRAD Optimization Method.,2.0,16,True,,,4.0,madgrad,,,,['pytorch'],65.0,64.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,1.0,3135.0,3135.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+827,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,,172.0,34.0,15.0,18.0,22.0,785.0,TensorFlow implementation of an arbitrary order Factorization Machine.,11.0,16,False,,,,tffm,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/tffm,,,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+828,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2023-04-14 10:59:37.000000,2023-04-14 10:59:37,29.0,,77.0,15.0,31.0,3.0,22.0,774.0,Leave One Feature Out Importance.,5.0,16,True,,,,lofo-importance,,,,,27.0,27.0,https://pypi.org/project/lofo-importance,,,1209.0,1209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+829,Anchor,marcotcr/anchor,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000,2022-07-19 18:09:12.000000,2022-07-19 18:08:39,47.0,,110.0,27.0,10.0,24.0,51.0,762.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,16,False,,,10.0,anchor_exp,,,,,2.0,,https://pypi.org/project/anchor_exp,2020-09-10 22:52:00.000,2.0,1412.0,1412.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+830,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2023-09-21 07:22:50.000000,2023-09-21 07:22:50,127.0,1.0,88.0,17.0,15.0,10.0,22.0,714.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,,['pytorch'],15.0,15.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,221.0,221.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+831,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40,1096.0,,100.0,26.0,101.0,37.0,84.0,704.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,False,2021-02-16 11:34:12.211,3.0.0,16.0,hyperparameter-hunter,,,,,1.0,,https://pypi.org/project/hyperparameter-hunter,2018-06-14 02:21:57.000,1.0,48.0,54.0,,,,,,,,3.0,411.0,,,,,,,,,,,,,,,,,,,
+832,kglib,vaticle/kglib,graph,,https://github.com/vaticle/typedb-ml,https://github.com/vaticle/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2022-11-09 16:08:58.000000,2022-11-09 16:08:58,507.0,,98.0,39.0,106.0,11.0,51.0,547.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,11.0,16,True,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,75.0,78.0,,,,,,,,3.0,220.0,,,,,,,vaticle/typedb-ml,,,,,,,,,,,,
+833,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,,64.0,11.0,10.0,22.0,41.0,508.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,16,False,,,,fastt5,,,,,40.0,40.0,https://pypi.org/project/fastt5,,,1190.0,1190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+834,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2023-10-11 20:12:08.000000,2023-10-11 20:12:03,257.0,2.0,71.0,22.0,87.0,19.0,15.0,491.0,"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,,,,,1.0,1.0,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,38.0,38.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+835,scikit-tda,scikit-tda/scikit-tda,sklearn-utils,,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,,2018-04-13 21:00:31.000,2022-03-13 16:33:15.000000,2022-03-13 16:33:15,64.0,,49.0,18.0,7.0,16.0,4.0,451.0,Topological Data Analysis for Python.,4.0,16,False,2021-08-03 00:22:58.000,1.0.0,4.0,scikit-tda,,,,['sklearn'],47.0,47.0,https://pypi.org/project/scikit-tda,,,5286.0,5286.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+836,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2023-06-16 16:08:23.527000,2021-02-15 17:10:59,283.0,,69.0,25.0,48.0,15.0,19.0,387.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",13.0,16,False,,,5.0,skrebate,conda-forge/skrebate,,,['sklearn'],,,https://pypi.org/project/skrebate,,,3329.0,3786.0,https://anaconda.org/conda-forge/skrebate,2023-06-16 16:08:23.527,31589.0,,,,,3.0,,,,,,,,,,,,,-4.0,,,,,,,
+837,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,,32.0,24.0,21.0,16.0,10.0,344.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,,pdvega,,,,,84.0,84.0,https://pypi.org/project/pdvega,,,122.0,122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+838,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2023-10-19 20:26:47.000000,2023-08-19 12:43:22,678.0,2.0,53.0,28.0,76.0,9.0,24.0,315.0,A Python implementation of active inference for Markov Decision Processes.,14.0,16,True,2023-03-25 17:58:52.000,0.0.7.1,6.0,inferactively-pymdp,,,,,7.0,7.0,https://pypi.org/project/inferactively-pymdp,,,121.0,121.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+839,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,,73.0,19.0,93.0,25.0,18.0,308.0,"pandas, scikit-learn, xgboost and seaborn integration.",4.0,16,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,,"['sklearn', 'pandas']",,,https://pypi.org/project/pandas-ml,,,2232.0,2232.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,
+840,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,,23.0,11.0,8.0,1.0,10.0,233.0,scikit-learn wrappers for Python fastText.,9.0,16,False,2022-02-14 13:45:54.000,0.0.23,3.0,skift,,,,['sklearn'],13.0,13.0,https://pypi.org/project/skift,,,999.0,999.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+841,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2023-09-27 23:13:07.000000,2020-06-02 21:10:26,51.0,,27.0,11.0,15.0,6.0,4.0,215.0,Draw interactive NetworkX graphs with Altair.,3.0,16,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,4.0,740.0,740.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+842,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37,127.0,,29.0,5.0,4.0,6.0,5.0,199.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,16,False,,,23.0,parfit,,,,['sklearn'],26.0,26.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,3579.0,3579.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+843,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,,20.0,5.0,2.0,15.0,23.0,185.0,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'],10.0,10.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,229.0,229.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+844,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2023-10-17 09:00:28.000000,2023-10-11 14:26:25,827.0,9.0,17.0,8.0,170.0,14.0,20.0,147.0,Toolkit for developing and maintaining ML models.,14.0,16,False,2023-08-24 10:06:11.000,0.0.30,30.0,modelkit,,,,,,,https://pypi.org/project/modelkit,2023-08-24 10:06:11.000,,2634.0,2634.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+845,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69.0,,32.0,14.0,54.0,16.0,50.0,136.0,"Lightweight, Python library for fast and reproducible experimentation.",7.0,16,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,55.0,50.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,25.0,25.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+846,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2023-10-25 21:33:40.000000,2023-03-31 15:44:32,231.0,,20.0,28.0,52.0,7.0,7.0,102.0,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",15.0,16,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,,['pytorch'],37.0,37.0,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,100.0,100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+847,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000,2022-12-20 03:03:28.000000,2022-11-03 07:32:51,114.0,,948.0,100.0,27.0,18.0,353.0,3552.0,An Open-Source Package for Knowledge Embedding (KE).,11.0,15,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+848,ZhuSuan,thu-ml/zhusuan,probabilistics,,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000,2022-12-17 20:33:19.000000,2019-08-05 10:00:04,439.0,,423.0,143.0,72.0,12.0,53.0,2194.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+849,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2023-03-24 22:29:09.000000,2019-10-02 23:26:11,132.0,,462.0,81.0,36.0,83.0,68.0,1673.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,15,False,2019-03-13 20:28:15.000,1.0-dev2,1.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,,,100.0,100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+850,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316.0,,109.0,57.0,34.0,22.0,13.0,1267.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,15,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+851,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2023-10-04 00:38:12.000000,2022-04-04 08:29:54,41.0,,294.0,54.0,20.0,42.0,85.0,1231.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,15,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+852,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,,211.0,40.0,40.0,57.0,34.0,1090.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+853,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2023-07-27 14:39:30.000000,2023-05-18 02:26:52,1358.0,,116.0,18.0,295.0,2.0,67.0,1029.0,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,15,True,2022-12-28 02:06:22.000,2.0.0,3.0,textbox,,,,,5.0,5.0,https://pypi.org/project/textbox,,,1.0,1.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+854,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2022-12-27 06:48:51.000000,2021-04-16 18:50:54,57.0,,121.0,51.0,21.0,15.0,9.0,825.0,A medical imaging framework for Pytorch.,8.0,15,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],14.0,14.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+855,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,,183.0,43.0,667.0,11.0,27.0,806.0,Translate - a PyTorch Language Library.,88.0,15,False,,,,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+856,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,,65.0,19.0,21.0,29.0,50.0,670.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,15,False,,,,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,,,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+857,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170.0,,39.0,26.0,4.0,4.0,2.0,668.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,15,False,2020-01-06 05:27:17.000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],7.0,5.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000,2.0,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+858,KD-Lib,SforAiDl/KD_Lib,others,,https://github.com/SforAiDl/KD_Lib,https://github.com/SforAiDl/KD_Lib,MIT,2020-05-10 13:08:42.000,2023-03-01 21:06:37.000000,2023-03-01 21:03:09,298.0,,50.0,17.0,83.0,18.0,49.0,547.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,15,True,2022-05-18 08:35:04.000,0.0.32,8.0,KD-Lib,,,,['pytorch'],,,https://pypi.org/project/KD-Lib,2022-05-18 08:35:04.000,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+859,atspy,firmai/atspy,time-series-data,,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000,2022-11-21 21:55:23.000000,2021-12-18 09:26:18,99.0,,87.0,21.0,18.0,22.0,2.0,496.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,10.0,10.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,200.0,200.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+860,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,,84.0,37.0,47.0,5.0,12.0,404.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,15,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,3.0,2.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,14.0,14.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+861,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49,170.0,,36.0,21.0,5.0,11.0,23.0,352.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,False,2016-12-23 10:46:31.000,0.3.3,10.0,tfdeploy,,,,['tensorflow'],,,https://pypi.org/project/tfdeploy,,,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+862,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,,2020-05-04 17:58:14.000,2023-02-22 05:20:46.000000,2021-11-19 06:05:15,700.0,,18.0,14.0,271.0,70.0,175.0,295.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,,,8856.0,8856.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+863,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2021-12-07 18:50:39.000000,2021-12-07 18:50:38,203.0,,11.0,7.0,2.0,1.0,5.0,165.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,15,False,2021-12-07 18:44:34.000,0.1.28,24.0,ipyexperiments,,,,['jupyter'],10.0,8.0,https://pypi.org/project/ipyexperiments,2021-12-07 18:44:34.000,2.0,42.0,42.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+864,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2022-11-21 22:24:51.000000,2018-09-19 19:27:00,59.0,,818.0,77.0,34.0,116.0,59.0,3177.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+865,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2023-07-06 21:16:22.000000,2022-11-02 02:28:59,99.0,,483.0,67.0,26.0,5.0,97.0,1657.0,An Open-Source Package for Network Embedding (NE).,11.0,14,True,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+866,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2023-08-23 08:35:09.000000,2022-06-30 14:05:23,118.0,,174.0,38.0,10.0,13.0,3.0,1317.0,A web app to generate template code for machine learning.,3.0,14,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+867,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2023-10-19 21:51:25.000000,2023-10-19 21:51:17,73.0,2.0,57.0,17.0,59.0,7.0,9.0,438.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",3.0,14,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,7.0,7.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,40.0,40.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+868,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2023-06-16 19:21:01.312000,2018-08-29 15:31:30,15.0,,57.0,19.0,6.0,6.0,,385.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,9.0,8.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,44.0,190.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,5706.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+869,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,,40.0,12.0,17.0,2.0,5.0,374.0,A PyTorch Graph Neural Network Library.,8.0,14,False,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,,['pytorch'],3.0,3.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+870,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2023-07-06 22:00:59.000000,2022-09-15 18:52:06,185.0,,49.0,10.0,14.0,12.0,17.0,366.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,14,False,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,449.0,449.0,,,,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,
+871,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,,35.0,12.0,8.0,9.0,3.0,322.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:49:57.000,0.2.1,4.0,tsaug,,,,,,,https://pypi.org/project/tsaug,,,1109.0,1109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+872,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,,15.0,11.0,6.0,9.0,6.0,299.0,Drift Detection for your PyTorch Models.,4.0,14,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],25.0,25.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+873,Headliner,as-ideas/headliner,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276.0,,41.0,17.0,7.0,2.0,13.0,231.0,Easy training and deployment of seq2seq models.,2.0,14,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,5.0,4.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,4.0,,,,,,,
+874,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2023-06-07 20:12:03.000000,2020-12-16 17:41:37,312.0,,33.0,8.0,72.0,31.0,8.0,225.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,14,False,,,27.0,neuralqa,,,,,4.0,4.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,48.0,48.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+875,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,,40.0,1.0,,,,166.0,Pytorch framework for doing deep learning on point clouds.,29.0,14,False,,,,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,,,592.0,592.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+876,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2023-02-28 01:21:32.000000,2023-02-24 00:50:55,299.0,,9.0,5.0,3.0,1.0,,125.0,Data Analysis Baseline Library.,23.0,14,False,2023-02-28 01:21:03.335,0.2.5,15.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2022-11-03 05:52:04.962,,967.0,967.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+877,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,,476.0,110.0,12.0,39.0,8.0,2647.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+878,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,,74.0,46.0,4.0,1.0,,2366.0,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'],,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,,1335.0,1338.0,,,,,,,,3.0,49.0,,,,,,,,,,,,,,,,,,,
+879,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2023-06-16 16:16:18.265000,2021-01-14 02:18:46,15.0,,147.0,32.0,,50.0,59.0,1165.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,13,False,,,4.0,,milagraph/graphvite,,,,,,,,,,93.0,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,4677.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+880,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2023-05-29 18:33:56.000000,2023-05-29 18:33:56,62.0,,41.0,11.0,7.0,2.0,11.0,625.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",6.0,13,True,,,,rliable`,,,,,92.0,92.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+881,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,,51.0,16.0,3.0,2.0,1.0,517.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,13,False,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,3.0,3.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000,,63.0,63.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+882,Pywick,achaiah/pywick,pytorch-utils,,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,,2019-03-25 15:42:47.000,2022-02-04 15:57:11.000000,2021-10-22 03:09:17,149.0,,38.0,16.0,39.0,1.0,13.0,396.0,High-level batteries-included neural network training library for Pytorch.,4.0,13,False,2021-10-22 03:16:49.000,0.6.5,8.0,pywick,,,,['pytorch'],9.0,9.0,https://pypi.org/project/pywick,,,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+883,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2023-10-02 18:06:17.000000,2023-10-02 18:06:17,148.0,2.0,66.0,20.0,169.0,87.0,17.0,382.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,13,True,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,42.0,42.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+884,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2020-05-28 17:32:42.000000,2020-05-28 17:31:53,465.0,,19.0,12.0,57.0,3.0,20.0,292.0,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 17:32:42.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,,,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+885,ONNX-T5,abelriboulot/onnxt5,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000,2022-11-02 18:43:57.000000,2021-01-28 09:24:52,74.0,,28.0,8.0,6.0,8.0,8.0,240.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",3.0,13,False,2021-01-28 09:24:24.000,0.1.9,9.0,onnxt5,,,,,1.0,1.0,https://pypi.org/project/onnxt5,,,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+886,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-10-26 01:24:33.000000,2021-08-01 07:11:57,363.0,,12.0,5.0,1220.0,4.0,10.0,126.0,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,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,15.0,26.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,657.0,3.0,,,,,,,,,,,,,,,,,,,,
+887,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285.0,,33.0,14.0,18.0,27.0,16.0,116.0,A deep learning python package for neuroimaging data. Made by:.,6.0,13,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000,,25.0,25.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+888,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2023-09-28 07:27:14.000000,2023-08-07 12:45:03,300.0,8.0,7.0,8.0,122.0,11.0,6.0,98.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,13,False,2023-06-28 12:19:42.000,0.2.6,8.0,,,,,['jax'],4.0,4.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+889,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,,,2023-10-26 14:20:41.000000,,,,,,,,,,Supercharging Machine Learning.,,13,False,2023-10-23 11:27:22.000,3.35.0,266.0,comet_ml,comet_ml,,,,57.0,,https://pypi.org/project/comet_ml,2023-10-26 14:20:41.000,57.0,191263.0,191263.0,https://anaconda.org/anaconda/comet_ml,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+890,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,,395.0,64.0,6.0,62.0,17.0,1716.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+891,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,,304.0,87.0,11.0,12.0,6.0,1643.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+892,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 14:47:44,37.0,21.0,45.0,14.0,13.0,8.0,9.0,461.0,Library for Textless Spoken Language Processing.,8.0,12,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+893,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2023-08-27 14:21:13.000000,2022-11-21 12:12:41,1044.0,,11.0,6.0,26.0,1.0,2.0,250.0,Maze Applied Reinforcement Learning Framework.,3.0,12,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,enliteai/maze,,['pytorch'],2.0,2.0,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,30.0,37.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,242.0,3.0,,,,,,,,,,,,,,,,,,,,
+894,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000,2023-01-27 02:15:43.000000,2021-03-03 01:30:06,79.0,,26.0,22.0,44.0,1.0,5.0,199.0,An automatic ML model optimization tool.,11.0,12,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+895,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2023-07-06 21:22:20.000000,2022-07-05 09:43:05,72.0,,26.0,8.0,16.0,4.0,6.0,190.0,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,12,False,2019-09-12 07:41:04.000,2.0,1.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,,,24.0,24.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+896,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,,2.0,4.0,116.0,Tools for training explainable models using attribution priors.,6.0,12,False,2021-03-16 17:47:18.000,1.0.0,4.0,attributionpriors,,,,"['tensorflow', 'pytorch']",4.0,4.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000,,43.0,43.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+897,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,,10.0,7.0,4.0,5.0,14.0,92.0,A spaCy wrapper for DBpedia Spotlight.,5.0,12,False,2023-03-08 10:33:19.000,0.2.6,6.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,,,381.0,381.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+898,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.",3.0,12,False,2021-06-25 14:27:32.000,0.0.7,8.0,nylon-ai,,,,,,,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000,,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+899,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2023-02-16 02:23:02.000000,2021-08-19 13:59:11,444.0,,12.0,7.0,20.0,3.0,,49.0,Distributed machine learning made simple.,2.0,12,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,27.0,27.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+900,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2023-03-14 16:25:22.000000,2022-02-09 22:20:11,9.0,,416.0,96.0,17.0,48.0,15.0,3243.0,AutoML algorithms for model architecture search at scale.,1.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+901,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2023-05-25 14:45:47.000000,2020-07-05 21:56:58,116.0,,112.0,47.0,13.0,7.0,20.0,951.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+902,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147.0,,143.0,40.0,7.0,15.0,14.0,908.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+903,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/genixpro/hypermax,https://github.com/genixpro/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2023-09-21 17:36:41.000000,2023-09-21 17:36:39,208.0,1.0,13.0,13.0,5.0,3.0,2.0,111.0,"Better, faster hyper-parameter optimization.",8.0,11,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,15.0,15.0,,,,,,,,3.0,,,,,,,,genixpro/hypermax,,,,,,,,,,,,
+904,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2023-07-23 16:23:34.000000,2021-11-11 10:53:33,630.0,,11.0,14.0,26.0,2.0,13.0,86.0,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..",12.0,11,False,,,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,,,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+905,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,,75.0,18.0,5.0,3.0,12.0,511.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+906,moolib,facebookresearch/moolib,distributed-ml,,https://github.com/facebookresearch/moolib,https://github.com/facebookresearch/moolib,MIT,2021-08-26 09:15:58.000,2022-12-12 15:07:44.000000,2022-12-12 15:07:38,41.0,,20.0,12.0,41.0,7.0,12.0,362.0,A library for distributed ML training with PyTorch.,6.0,10,True,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+907,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,,24.0,17.0,51.0,11.0,1.0,128.0,Simple Distributed Deep Learning on TensorFlow.,11.0,10,False,,,2.0,autodist,,,,['tensorflow'],1.0,1.0,https://pypi.org/project/autodist,,,17.0,17.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+908,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2022-09-29 08:50:58.000000,2022-09-29 08:50:40,122.0,,12.0,12.0,15.0,,,43.0,,4.0,10,False,2021-04-22 15:15:27.000,0.0.12,10.0,bias-detector,,,,,1.0,1.0,https://pypi.org/project/bias-detector,,,24.0,24.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+909,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,,2.0,3.0,3.0,7.0,6.0,31.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,10,False,,,,nptsne,,,,,6.0,6.0,https://pypi.org/project/nptsne,,,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+910,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,,2020-10-30 15:25:14.000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21,219.0,,11.0,16.0,14.0,5.0,4.0,239.0,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",8.0,9,False,,,,backprop,,,,,2.0,2.0,https://pypi.org/project/backprop,,,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,-4.0,,,,,,,
+911,Hypertunity,gdikov/hypertunity,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29,64.0,,10.0,10.0,44.0,,2.0,136.0,A toolset for black-box hyperparameter optimisation.,2.0,9,False,2020-01-26 23:08:16.000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+912,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,,25.0,7.0,2.0,2.0,6.0,138.0,Python package to generate stock portfolios.,4.0,8,False,2020-03-13 20:04:08.000,0.2,3.0,pyrtfolio,,,,,,,https://pypi.org/project/pyrtfolio,,,5.0,5.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+913,tslumen,hsbc/tslumen,time-series-data,,https://github.com/hsbc/tslumen,https://github.com/hsbc/tslumen,Apache-2.0,2022-11-09 14:06:09.000,2022-11-23 19:03:57.000000,2022-11-22 16:44:39,2.0,,4.0,6.0,,1.0,,53.0,A library for Time Series EDA (exploratory data analysis).,2.0,8,False,2022-11-22 17:50:34.944,0.0.1,1.0,tslumen,conda-forge/tslumen,,,,1.0,,https://pypi.org/project/tslumen,2022-11-22 17:50:34.944,1.0,17.0,17.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+914,traintool,jrieke/traintool,ml-experiments,,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14,122.0,,1.0,4.0,,,,12.0,Train off-the-shelf machine learning models in one line of code.,,8,False,2020-11-02 02:25:32.000,0.0.3,3.0,traintool,,,,"['pytorch', 'tensorflow', 'sklearn']",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,8.0,8.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+915,Skater,oracle/Skater,interpretability,,,{},,2020-07-05 18:35:27.012,2023-09-18 15:13:22.392000,,,,,,,,,,Python Library for Model Agnostic Interpretation.,,6,False,,,2.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,,,447.0,2041.0,https://anaconda.org/conda-forge/skater,2023-09-18 15:13:22.392,62199.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
diff --git a/latest-changes.md b/latest-changes.md
index 868c50aa..385361a1 100644
--- a/latest-changes.md
+++ b/latest-changes.md
@@ -2,29 +2,29 @@
_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._
-- torchvision (π₯42 Β· β 15K Β· π) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 BSD-3
-- PyQtGraph (π₯35 Β· β 3.4K Β· π) - Fast data visualization and GUI tools for scientific / engineering.. MIT
-- opencv-python (π₯33 Β· β 3.8K Β· π) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
-- igraph (π₯32 Β· β 1.2K Β· π) - Python interface for igraph. βοΈGPL-2.0
-- CNTK (π₯30 Β· β 17K Β· π) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT
-- langid (π₯28 Β· β 2.2K Β· π) - Stand-alone language identification system. BSD-3
-- Augmentor (π₯27 Β· β 5K Β· π€) - Image augmentation library in Python for machine learning. MIT
-- polyglot (π₯27 Β· β 2.2K Β· π) - Multilingual text (NLP) processing toolkit. βοΈGPL-3.0
-- eli5 (π₯26 Β· β 2.7K Β· π) - A library for debugging/inspecting machine learning classifiers and.. MIT
+- PyTorch Geometric (π₯38 Β· β 19K Β· π) - Graph Neural Network Library for PyTorch. MIT MIT MIT
+- HoloViews (π₯35 Β· β 2.5K Β· π) - With Holoviews, your data visualizes itself. BSD-3 MPL-2.0 BSD-3 BSD-3 MIT MIT 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._
-- PyTorch Geometric (π₯35 Β· β 19K Β· π) - Graph Neural Network Library for PyTorch. MIT BSD-3
-- aim (π₯30 Β· β 4.3K Β· π) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2
-- geopy (π₯30 Β· β 4.1K Β· π) - Geocoding library for Python. MIT
-- sklearn-crfsuite (π₯24 Β· β 420 Β· π) - scikit-learn inspired API for CRFsuite. βUnlicensed βUnlicensed MIT βUnlicensed
-- sklearn-evaluation (π₯10 Β· β 2 Β· π€) - Machine learning model evaluation made easy: plots,.. MIT βUnlicensed
+- torchvision (π₯38 Β· β 15K Β· π) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 βUnlicensed
+- agate (π₯32 Β· β 1.1K Β· π) - A Python data analysis library that is optimized for humans instead of.. MIT
+- torchtext (π₯29 Β· β 3.4K Β· π) - Models, data loaders and abstractions for language.. BSD-3 Unlicense
+- polyglot (π₯23 Β· β 2.2K Β· π) - Multilingual text (NLP) processing toolkit. βUnlicensed
+- EfficientNet-PyTorch (π₯22 Β· β 7.6K Β· π) - A PyTorch implementation of EfficientNet and.. Apache-2 BSD-3
+- scikit-rebate (π₯16 Β· β 390 Β· π) - A scikit-learn-compatible Python implementation of.. MIT βUnlicensed