diff --git a/README.md b/README.md
index 61638353..848c9914 100644
--- a/README.md
+++ b/README.md
@@ -101,32 +101,48 @@ _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» 4.4K Β· π 72K Β· π¦ 300K Β· π 38K - 5% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.4K Β· π 89K Β· π¦ 300K Β· π 38K - 5% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/tensorflow/tensorflow
```
-- [PyPi](https://pypi.org/project/tensorflow) (π₯ 16M / month):
+- [PyPi](https://pypi.org/project/tensorflow) (π₯ 16M / month Β· π¦ 15K Β· β±οΈ 01.09.2023):
```
pip install tensorflow
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow) (π₯ 4.3M Β· β±οΈ 21.07.2023):
+- [Conda](https://anaconda.org/conda-forge/tensorflow):
```
conda install -c conda-forge tensorflow
```
-- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 74M Β· β 2.2K Β· β±οΈ 31.08.2023):
+- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 74M Β· β 2.2K Β· β±οΈ 07.09.2023):
```
docker pull tensorflow/tensorflow
```
PyTorch (π₯53 Β· β 71K Β· π) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 
+
+- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 4.3K Β· π 19K Β· π₯ 23K Β· π¦ 310K Β· π 37K - 33% open Β· β±οΈ 07.09.2023):
+
+ ```
+ git clone https://github.com/pytorch/pytorch
+ ```
+- [PyPi](https://pypi.org/project/torch) (π₯ 11M / month Β· π¦ 11K Β· β±οΈ 08.05.2023):
+ ```
+ pip install torch
+ ```
+- [Conda](https://anaconda.org/pytorch/pytorch):
+ ```
+ conda install -c pytorch pytorch
+ ```
+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 24K Β· π₯ 890 Β· π¦ 590K Β· π 10K - 15% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3K Β· π 25K Β· π₯ 900 Β· π¦ 590K Β· π 11K - 20% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/scikit-learn/scikit-learn
```
-- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 42M / month):
+- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 42M / month Β· π¦ 29K Β· β±οΈ 30.06.2023):
```
pip install scikit-learn
```
@@ -135,62 +151,62 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge scikit-learn
```
PyTorch (π₯47 Β· β 70K Β· π) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3
+Keras (π₯45 Β· β 59K) - Deep Learning for humans. Apache-2
-- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 4.3K Β· π 19K Β· π₯ 23K Β· π¦ 11 Β· π 36K - 32% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.2K Β· π 19K Β· π¦ 13 Β· π 12K - 3% open Β· β±οΈ 06.09.2023):
```
- git clone https://github.com/pytorch/pytorch
+ git clone https://github.com/keras-team/keras
```
-- [PyPi](https://pypi.org/project/torch) (π₯ 11M / month):
+- [PyPi](https://pypi.org/project/keras) (π₯ 11M / month Β· π¦ 630 Β· β±οΈ 03.08.2023):
```
- pip install torch
+ pip install keras
```
-- [Conda](https://anaconda.org/pytorch/pytorch) (π₯ 18M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/keras) (π₯ 3.2M Β· β±οΈ 28.07.2023):
```
- conda install -c pytorch pytorch
+ conda install -c conda-forge keras
```
StatsModels (π₯44 Β· β 8.8K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
+pytorch-lightning (π₯45 Β· β 25K Β· π) - Deep learning framework to train, deploy, and ship AI.. Apache-2
-- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 420 Β· π 2.6K Β· π₯ 29 Β· π¦ 100K Β· π 5.2K - 47% open Β· β±οΈ 10.08.2023):
+- [GitHub](https://github.com/Lightning-AI/lightning) (π¨βπ» 900 Β· π 3K Β· π₯ 13K Β· π¦ 24K Β· π 6.5K - 10% open Β· β±οΈ 06.09.2023):
```
- git clone https://github.com/statsmodels/statsmodels
+ git clone https://github.com/Lightning-AI/lightning
```
-- [PyPi](https://pypi.org/project/statsmodels) (π₯ 11M / month):
+- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 4.2M / month Β· π¦ 680 Β· β±οΈ 30.08.2023):
```
- pip install statsmodels
+ pip install pytorch-lightning
```
-- [Conda](https://anaconda.org/conda-forge/statsmodels) (π₯ 11M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 930K Β· β±οΈ 30.08.2023):
```
- conda install -c conda-forge statsmodels
+ conda install -c conda-forge pytorch-lightning
```
Keras (π₯43 Β· β 59K Β· π) - Deep Learning for humans. Apache-2
+jax (π₯45 Β· β 25K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
-- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.2K Β· π 18K Β· π¦ 11 Β· π 12K - 2% open Β· β±οΈ 22.08.2023):
+- [GitHub](https://github.com/google/jax) (π¨βπ» 570 Β· π 2.3K Β· π¦ 17K Β· π 4.8K - 32% open Β· β±οΈ 07.09.2023):
```
- git clone https://github.com/keras-team/keras
+ git clone https://github.com/google/jax
```
-- [PyPi](https://pypi.org/project/keras) (π₯ 11M / month):
+- [PyPi](https://pypi.org/project/jax) (π₯ 2.9M / month Β· π¦ 650 Β· β±οΈ 30.08.2023):
```
- pip install keras
+ pip install jax
```
-- [Conda](https://anaconda.org/conda-forge/keras) (π₯ 3.2M Β· β±οΈ 28.07.2023):
+- [Conda](https://anaconda.org/conda-forge/jaxlib) (π₯ 910K Β· β±οΈ 30.07.2023):
```
- conda install -c conda-forge keras
+ conda install -c conda-forge jaxlib
```
XGBoost (π₯43 Β· β 25K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
+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» 620 Β· π 8.1K Β· π₯ 7K Β· π¦ 65K Β· π 4.9K - 6% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 620 Β· π 8.6K Β· π₯ 7K Β· π¦ 66K Β· π 5K - 7% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/dmlc/xgboost
```
-- [PyPi](https://pypi.org/project/xgboost) (π₯ 9.9M / month):
+- [PyPi](https://pypi.org/project/xgboost) (π₯ 9.9M / month Β· π¦ 1.7K Β· β±οΈ 17.08.2023):
```
pip install xgboost
```
@@ -199,58 +215,58 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge xgboost
```
jax (π₯43 Β· β 24K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
+PaddlePaddle (π₯44 Β· β 21K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 
-- [GitHub](https://github.com/google/jax) (π¨βπ» 570 Β· π 2.2K Β· π¦ 17K Β· π 4.5K - 27% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.1K Β· π 5.1K Β· π₯ 15K Β· π¦ 3.9K Β· π 17K - 6% open Β· β±οΈ 07.09.2023):
```
- git clone https://github.com/google/jax
- ```
-- [PyPi](https://pypi.org/project/jax) (π₯ 2.9M / month):
- ```
- pip install jax
+ git clone https://github.com/PaddlePaddle/Paddle
```
-- [Conda](https://anaconda.org/conda-forge/jaxlib) (π₯ 900K Β· β±οΈ 30.07.2023):
+- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 170K / month):
```
- conda install -c conda-forge jaxlib
+ pip install paddlepaddle
```
LightGBM (π₯43 Β· β 15K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
+StatsModels (π₯44 Β· β 8.8K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
-- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 290 Β· π 3.8K Β· π₯ 200K Β· π¦ 25K Β· π 3.1K - 9% open Β· β±οΈ 23.08.2023):
+- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 420 Β· π 2.6K Β· π₯ 29 Β· π¦ 100K Β· π 5.2K - 48% open Β· β±οΈ 01.09.2023):
```
- git clone https://github.com/microsoft/LightGBM
+ git clone https://github.com/statsmodels/statsmodels
```
-- [PyPi](https://pypi.org/project/lightgbm) (π₯ 6.3M / month Β· π¦ 780 Β· β±οΈ 13.07.2023):
+- [PyPi](https://pypi.org/project/statsmodels) (π₯ 11M / month):
```
- pip install lightgbm
+ pip install statsmodels
```
-- [Conda](https://anaconda.org/conda-forge/lightgbm) (π₯ 2M Β· β±οΈ 14.07.2023):
+- [Conda](https://anaconda.org/conda-forge/statsmodels) (π₯ 11M Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge lightgbm
+ conda install -c conda-forge statsmodels
```
PaddlePaddle (π₯42 Β· β 21K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2
+LightGBM (π₯43 Β· β 15K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
-- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.1K Β· π 5.1K Β· π₯ 15K Β· π¦ 280 Β· π 17K - 6% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 290 Β· π 3.8K Β· π₯ 200K Β· π¦ 25K Β· π 3.1K - 9% open Β· β±οΈ 06.09.2023):
```
- git clone https://github.com/PaddlePaddle/Paddle
+ git clone https://github.com/microsoft/LightGBM
```
-- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 170K / month):
+- [PyPi](https://pypi.org/project/lightgbm) (π₯ 6.3M / month Β· π¦ 780 Β· β±οΈ 13.07.2023):
```
- pip install paddlepaddle
+ pip install lightgbm
+ ```
+- [Conda](https://anaconda.org/conda-forge/lightgbm) (π₯ 2M Β· β±οΈ 14.07.2023):
+ ```
+ conda install -c conda-forge lightgbm
```
Catboost (π₯41 Β· β 7.3K Β· π) - A fast, scalable, high performance Gradient Boosting on.. Apache-2
+Catboost (π₯41 Β· β 7.3K) - 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₯ 170K Β· π¦ 9 Β· π 2.1K - 24% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.2K Β· π 1.1K Β· π₯ 180K Β· π¦ 9 Β· π 2.1K - 24% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/catboost/catboost
```
-- [PyPi](https://pypi.org/project/catboost) (π₯ 1.9M / month Β· π¦ 330 Β· β±οΈ 28.08.2023):
+- [PyPi](https://pypi.org/project/catboost) (π₯ 2M / month Β· π¦ 330 Β· β±οΈ 28.08.2023):
```
pip install catboost
```
@@ -261,12 +277,12 @@ _General-purpose machine learning and deep learning frameworks._
Jina (π₯40 Β· β 19K) - Multimodal AI services & pipelines with cloud-native stack: gRPC,.. Apache-2
-- [GitHub](https://github.com/jina-ai/jina) (π¨βπ» 170 Β· π 2.2K Β· π¦ 950 Β· π 1.9K - 0% open Β· β±οΈ 24.08.2023):
+- [GitHub](https://github.com/jina-ai/jina) (π¨βπ» 170 Β· π 2.2K Β· π¦ 990 Β· π 1.9K - 0% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/jina-ai/jina
```
-- [PyPi](https://pypi.org/project/jina) (π₯ 220K / month Β· π¦ 14 Β· β±οΈ 10.08.2023):
+- [PyPi](https://pypi.org/project/jina) (π₯ 110K / month Β· π¦ 15 Β· β±οΈ 07.09.2023):
```
pip install jina
```
@@ -274,26 +290,30 @@ _General-purpose machine learning and deep learning frameworks._
```
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 24.08.2023):
+- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (π₯ 1.3M Β· β 8 Β· β±οΈ 07.09.2023):
```
docker pull jinaai/jina
```
Fastai (π₯39 Β· β 24K) - The fastai deep learning library. Apache-2
+Theano (π₯39 Β· β 9.8K Β· π€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3
-- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 650 Β· π 7.4K Β· π¦ 15K Β· π 1.8K - 9% open Β· β±οΈ 22.08.2023):
+- [GitHub](https://github.com/Theano/Theano) (π¨βπ» 390 Β· π 2.5K Β· π¦ 14K Β· π 2.8K - 24% open Β· β±οΈ 20.12.2022):
```
- git clone https://github.com/fastai/fastai
+ git clone https://github.com/Theano/Theano
```
-- [PyPi](https://pypi.org/project/fastai) (π₯ 320K / month Β· π¦ 330 Β· β±οΈ 28.03.2023):
+- [PyPi](https://pypi.org/project/theano) (π₯ 500K / month Β· π¦ 2.8K Β· β±οΈ 27.07.2020):
```
- pip install fastai
+ pip install theano
+ ```
+- [Conda](https://anaconda.org/conda-forge/theano) (π₯ 2.4M Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge theano
```
PySpark (π₯38 Β· β 37K) - Apache Spark Python API. Apache-2 
-- [GitHub](https://github.com/apache/spark) (π¨βπ» 2.9K Β· π 26K Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/apache/spark) (π¨βπ» 2.9K Β· π 26K Β· β±οΈ 07.09.2023):
```
git clone https://github.com/apache/spark
@@ -307,20 +327,16 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge pyspark
```
pytorch-lightning (π₯38 Β· β 25K) - Deep learning framework to train, deploy, and ship AI.. Apache-2
+Fastai (π₯38 Β· β 24K) - The fastai deep learning library. Apache-2
-- [GitHub](https://github.com/Lightning-AI/lightning) (π¨βπ» 900 Β· π 2.9K Β· π₯ 13K Β· π 6.4K - 10% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 650 Β· π 7.4K Β· π¦ 15K Β· π 1.8K - 9% open Β· β±οΈ 06.09.2023):
```
- git clone https://github.com/Lightning-AI/lightning
- ```
-- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 4.2M / month):
- ```
- pip install pytorch-lightning
+ git clone https://github.com/fastai/fastai
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 920K Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/fastai) (π₯ 320K / month Β· π¦ 330 Β· β±οΈ 28.03.2023):
```
- conda install -c conda-forge pytorch-lightning
+ pip install fastai
```
MXNet (π₯38 Β· β 21K Β· π€) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 
@@ -330,7 +346,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/apache/incubator-mxnet
```
-- [PyPi](https://pypi.org/project/mxnet) (π₯ 430K / month Β· π¦ 290 Β· β±οΈ 17.05.2022):
+- [PyPi](https://pypi.org/project/mxnet) (π₯ 400K / month Β· π¦ 290 Β· β±οΈ 17.05.2022):
```
pip install mxnet
```
@@ -341,12 +357,12 @@ _General-purpose machine learning and deep learning frameworks._
Flax (π₯37 Β· β 4.7K) - 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 500 Β· π₯ 49 Β· π¦ 4.1K Β· π 730 - 14% open Β· β±οΈ 28.08.2023):
+- [GitHub](https://github.com/google/flax) (π¨βπ» 200 Β· π 530 Β· π₯ 49 Β· π¦ 4.2K Β· π 790 - 20% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/google/flax
```
-- [PyPi](https://pypi.org/project/flax) (π₯ 1.9M / month):
+- [PyPi](https://pypi.org/project/flax) (π₯ 2.1M / month Β· π¦ 160 Β· β±οΈ 09.08.2023):
```
pip install flax
```
@@ -355,14 +371,26 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge flax
```
PyFlink (π₯36 Β· β 22K Β· π) - Apache Flink Python API. Apache-2
+
+- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.8K Β· π 12K Β· π¦ 13 Β· β±οΈ 07.09.2023):
+
+ ```
+ git clone https://github.com/apache/flink
+ ```
+- [PyPi](https://pypi.org/project/apache-flink) (π₯ 49K / month Β· π¦ 22 Β· β±οΈ 27.09.2022):
+ ```
+ pip install apache-flink
+ ```
+ivy (π₯36 Β· β 13K) - The Unified AI Framework. Apache-2
-- [GitHub](https://github.com/unifyai/ivy) (π¨βπ» 1.3K Β· π 5.2K Β· π 13K - 32% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/unifyai/ivy) (π¨βπ» 1.3K Β· π 5.3K Β· π 14K - 32% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/unifyai/ivy
```
-- [PyPi](https://pypi.org/project/ivy) (π₯ 1.6K / month Β· π¦ 8 Β· β±οΈ 21.08.2023):
+- [PyPi](https://pypi.org/project/ivy) (π₯ 1.4K / month Β· π¦ 8 Β· β±οΈ 04.09.2023):
```
pip install ivy
```
@@ -374,7 +402,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/explosion/thinc
```
-- [PyPi](https://pypi.org/project/thinc) (π₯ 5M / month):
+- [PyPi](https://pypi.org/project/thinc) (π₯ 5.3M / month):
```
pip install thinc
```
@@ -383,20 +411,20 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge thinc
```
Vowpal Wabbit (π₯34 Β· β 8.3K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
+Ignite (π₯35 Β· β 4.3K Β· π) - High-level library to help with training and evaluating neural.. BSD-3
-- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 330 Β· π 1.9K Β· π 1.3K - 9% open Β· β±οΈ 20.07.2023):
+- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 260 Β· π 600 Β· π¦ 2.4K Β· π 1.3K - 12% open Β· β±οΈ 07.09.2023):
```
- git clone https://github.com/VowpalWabbit/vowpal_wabbit
+ git clone https://github.com/pytorch/ignite
```
-- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 120K / month):
+- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 180K / month Β· π¦ 41 Β· β±οΈ 07.09.2023):
```
- pip install vowpalwabbit
+ pip install pytorch-ignite
```
-- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (π₯ 130K Β· β±οΈ 17.08.2023):
+- [Conda](https://anaconda.org/pytorch/ignite) (π₯ 160K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge vowpalwabbit
+ conda install -c pytorch ignite
```
einops (π₯34 Β· β 7.2K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT
@@ -417,56 +445,88 @@ _General-purpose machine learning and deep learning frameworks._
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₯ 17K / month):
+- [PyPi](https://pypi.org/project/chainer) (π₯ 16K / month Β· π¦ 400 Β· β±οΈ 05.01.2022):
```
pip install chainer
```
-- [Conda](https://anaconda.org/conda-forge/chainer) (π₯ 15K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/chainer) (π₯ 16K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge chainer
```
PyFlink (π₯33 Β· β 22K) - Apache Flink Python API. Apache-2
+Ludwig (π₯33 Β· β 9.6K) - Low-code framework for building custom LLMs, neural networks,.. Apache-2
-- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.8K Β· π 12K Β· π¦ 11 Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/ludwig-ai/ludwig) (π¨βπ» 140 Β· π 1K Β· π¦ 190 Β· π 950 - 25% open Β· β±οΈ 06.09.2023):
```
- git clone https://github.com/apache/flink
+ git clone https://github.com/ludwig-ai/ludwig
```
-- [PyPi](https://pypi.org/project/apache-flink) (π₯ 52K / month):
+- [PyPi](https://pypi.org/project/ludwig) (π₯ 4.1K / month):
```
- pip install apache-flink
+ pip install ludwig
+ ```
+Vowpal Wabbit (π₯33 Β· β 8.3K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
+
+- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 330 Β· π 1.9K Β· π 1.3K - 10% open Β· β±οΈ 01.09.2023):
+
+ ```
+ git clone https://github.com/VowpalWabbit/vowpal_wabbit
+ ```
+- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 130K / month):
+ ```
+ pip install vowpalwabbit
+ ```
+- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (π₯ 130K Β· β±οΈ 17.08.2023):
+ ```
+ conda install -c conda-forge vowpalwabbit
+ ```
+tensorpack (π₯32 Β· β 6.3K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2
+
+- [GitHub](https://github.com/tensorpack/tensorpack) (π¨βπ» 58 Β· π 1.8K Β· π₯ 160 Β· π¦ 1.4K Β· π 1.4K - 0% open Β· β±οΈ 06.08.2023):
+
+ ```
+ git clone https://github.com/tensorpack/tensorpack
+ ```
+- [PyPi](https://pypi.org/project/tensorpack) (π₯ 14K / month Β· π¦ 47 Β· β±οΈ 04.09.2018):
+ ```
+ pip install tensorpack
+ ```
+- [Conda](https://anaconda.org/conda-forge/tensorpack) (π₯ 9.9K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge tensorpack
```
skorch (π₯32 Β· β 5.3K) - A scikit-learn compatible neural network library that wraps.. BSD-3
-- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 60 Β· π 350 Β· π¦ 940 Β· π 490 - 9% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 60 Β· π 360 Β· π¦ 940 Β· π 490 - 9% open Β· β±οΈ 04.09.2023):
```
git clone https://github.com/skorch-dev/skorch
```
-- [PyPi](https://pypi.org/project/skorch) (π₯ 70K / month):
+- [PyPi](https://pypi.org/project/skorch) (π₯ 73K / month Β· π¦ 48 Β· β±οΈ 04.09.2023):
```
pip install skorch
```
-- [Conda](https://anaconda.org/conda-forge/skorch) (π₯ 770K Β· β±οΈ 08.08.2023):
+- [Conda](https://anaconda.org/conda-forge/skorch) (π₯ 770K Β· β±οΈ 06.09.2023):
```
conda install -c conda-forge skorch
```
mlpack (π₯32 Β· β 4.5K) - 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 24.08.2023):
+- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 310 Β· π 1.5K Β· π 1.6K - 1% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/mlpack/mlpack
```
-- [PyPi](https://pypi.org/project/mlpack) (π₯ 1.7K / month Β· π¦ 1 Β· β±οΈ 29.12.2022):
+- [PyPi](https://pypi.org/project/mlpack) (π₯ 950 / month Β· π¦ 1 Β· β±οΈ 07.09.2023):
```
pip install mlpack
```
@@ -477,12 +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/deepmind/dm-haiku) (π¨βπ» 76 Β· π 220 Β· π¦ 1.4K Β· π 230 - 28% open Β· β±οΈ 25.08.2023):
+- [GitHub](https://github.com/deepmind/dm-haiku) (π¨βπ» 76 Β· π 220 Β· π¦ 1.5K Β· π 270 - 38% open Β· β±οΈ 25.08.2023):
```
git clone https://github.com/deepmind/dm-haiku
```
-- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 190K / month):
+- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 200K / month Β· π¦ 67 Β· β±οΈ 14.07.2023):
```
pip install dm-haiku
```
@@ -493,7 +553,7 @@ _General-purpose machine learning and deep learning frameworks._
tensorflow-upstream (π₯32 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 29.08.2023):
+- [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 01.09.2023):
```
git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
@@ -510,7 +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₯ 22K / month):
+- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 17K / month):
```
pip install dm-sonnet
```
@@ -519,34 +579,6 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge sonnet
```
Ludwig (π₯31 Β· β 9.4K) - Low-code framework for building custom LLMs, neural networks,.. Apache-2
-
-- [GitHub](https://github.com/ludwig-ai/ludwig) (π¨βπ» 140 Β· π 1K Β· π¦ 190 Β· π 940 - 24% open Β· β±οΈ 31.08.2023):
-
- ```
- git clone https://github.com/ludwig-ai/ludwig
- ```
-- [PyPi](https://pypi.org/project/ludwig) (π₯ 3.3K / month):
- ```
- pip install ludwig
- ```
-tensorpack (π₯31 Β· β 6.3K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2
-
-- [GitHub](https://github.com/tensorpack/tensorpack) (π¨βπ» 58 Β· π 1.8K Β· π₯ 160 Β· π¦ 1.3K Β· π 1.4K - 0% open Β· β±οΈ 06.08.2023):
-
- ```
- git clone https://github.com/tensorpack/tensorpack
- ```
-- [PyPi](https://pypi.org/project/tensorpack) (π₯ 14K / month):
- ```
- pip install tensorpack
- ```
-- [Conda](https://anaconda.org/conda-forge/tensorpack) (π₯ 9.8K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge tensorpack
- ```
-CNTK (π₯30 Β· β 17K Β· π€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT
- [GitHub](https://github.com/microsoft/CNTK) (π¨βπ» 270 Β· π 4.4K Β· π₯ 14K Β· π 3.4K - 24% open Β· β±οΈ 23.09.2022):
@@ -559,66 +591,50 @@ _General-purpose machine learning and deep learning frameworks._
pip install cntk
```
Ignite (π₯30 Β· β 4.3K) - High-level library to help with training and evaluating neural.. BSD-3
-
-- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 200 Β· π 590 Β· π 1.3K - 9% open Β· β±οΈ 31.08.2023):
-
- ```
- git clone https://github.com/pytorch/ignite
- ```
-- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 100K / month):
- ```
- pip install pytorch-ignite
- ```
-- [Conda](https://anaconda.org/pytorch/ignite) (π₯ 150K Β· β±οΈ 16.06.2023):
- ```
- conda install -c pytorch ignite
- ```
-dyNET (π₯30 Β· β 3.4K Β· π€) - DyNet: The Dynamic Neural Network Toolkit. Apache-2
+Neural Network Libraries (π₯30 Β· β 2.6K) - Neural Network Libraries. Apache-2
-- [GitHub](https://github.com/clab/dynet) (π¨βπ» 160 Β· π 700 Β· π₯ 12K Β· π¦ 250 Β· π 930 - 28% open Β· β±οΈ 14.08.2022):
+- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 72 Β· π 340 Β· π₯ 700 Β· π 92 - 36% open Β· β±οΈ 22.08.2023):
```
- git clone https://github.com/clab/dynet
+ git clone https://github.com/sony/nnabla
```
-- [PyPi](https://pypi.org/project/dyNET) (π₯ 22K / month Β· π¦ 29 Β· β±οΈ 21.10.2020):
+- [PyPi](https://pypi.org/project/nnabla) (π₯ 3.2K / month Β· π¦ 54 Β· β±οΈ 01.05.2022):
```
- pip install dyNET
+ pip install nnabla
```
Neural Network Libraries (π₯30 Β· β 2.6K) - Neural Network Libraries. Apache-2
+Determined (π₯30 Β· β 2.4K) - Determined is a deep-learning platform that simplifies.. Apache-2
-- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 72 Β· π 340 Β· π₯ 700 Β· π 92 - 36% open Β· β±οΈ 22.08.2023):
+- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 100 Β· π 310 Β· π₯ 7.1K Β· π 420 - 30% open Β· β±οΈ 07.09.2023):
```
- git clone https://github.com/sony/nnabla
+ git clone https://github.com/determined-ai/determined
```
-- [PyPi](https://pypi.org/project/nnabla) (π₯ 3.3K / month Β· π¦ 54 Β· β±οΈ 01.05.2022):
+- [PyPi](https://pypi.org/project/determined) (π₯ 15K / month Β· π¦ 4 Β· β±οΈ 06.09.2023):
```
- pip install nnabla
+ pip install determined
```
EvaDB (π₯30 Β· β 2.2K) - Bring AI inside your Database System & build AI-powered apps. Apache-2
-- [GitHub](https://github.com/georgia-tech-db/evadb) (π¨βπ» 58 Β· π 170 Β· π₯ 400K Β· π¦ 19 Β· π 140 - 22% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/georgia-tech-db/evadb) (π¨βπ» 60 Β· π 170 Β· π₯ 410K Β· π¦ 19 Β· π 150 - 22% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/georgia-tech-db/eva
```
-- [PyPi](https://pypi.org/project/evadb) (π₯ 990 / month):
+- [PyPi](https://pypi.org/project/evadb) (π₯ 1.1K / month):
```
pip install evadb
```
ktrain (π₯30 Β· β 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2
-- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 16 Β· π 260 Β· π¦ 450 Β· π 470 - 0% open Β· β±οΈ 17.08.2023):
+- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 16 Β· π 270 Β· π¦ 460 Β· π 470 - 0% open Β· β±οΈ 05.09.2023):
```
git clone https://github.com/amaiya/ktrain
```
-- [PyPi](https://pypi.org/project/ktrain) (π₯ 22K / month):
+- [PyPi](https://pypi.org/project/ktrain) (π₯ 22K / month Β· π¦ 3 Β· β±οΈ 05.09.2023):
```
pip install ktrain
```
@@ -630,7 +646,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/geomstats/geomstats
```
-- [PyPi](https://pypi.org/project/geomstats) (π₯ 2.9K / month Β· π¦ 3 Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/geomstats) (π₯ 3.1K / month Β· π¦ 3 Β· β±οΈ 30.08.2023):
```
pip install geomstats
```
@@ -639,45 +655,33 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge geomstats
```
Determined (π₯29 Β· β 2.4K) - Determined is a deep-learning platform that simplifies.. Apache-2
-
-- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 100 Β· π 310 Β· π₯ 7K Β· π 320 - 9% open Β· β±οΈ 31.08.2023):
-
- ```
- git clone https://github.com/determined-ai/determined
- ```
-- [PyPi](https://pypi.org/project/determined) (π₯ 15K / month):
- ```
- pip install determined
- ```
-Towhee (π₯27 Β· β 2.6K) - 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 230 Β· π₯ 1.2K Β· π 640 - 2% open Β· β±οΈ 14.08.2023):
+- [GitHub](https://github.com/towhee-io/towhee) (π¨βπ» 33 Β· π 230 Β· π₯ 1.2K Β· π 640 - 1% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/towhee-io/towhee
```
-- [PyPi](https://pypi.org/project/towhee) (π₯ 3.6K / month Β· β±οΈ 07.07.2022):
+- [PyPi](https://pypi.org/project/towhee) (π₯ 3.5K / 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» 26 Β· π 230 Β· π₯ 320 Β· π¦ 78 Β· π 140 - 36% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/google/neural-tangents) (π¨βπ» 26 Β· π 220 Β· π₯ 320 Β· π¦ 78 Β· π 140 - 36% open Β· β±οΈ 29.08.2023):
```
git clone https://github.com/google/neural-tangents
```
-- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 2.1K / month):
+- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 2.2K / month):
```
pip install neural-tangents
```
pyRiemann (π₯27 Β· β 520) - Machine learning for multivariate data analysis through the.. BSD-3
-- [GitHub](https://github.com/pyRiemann/pyRiemann) (π¨βπ» 26 Β· π 150 Β· π¦ 280 Β· π 100 - 8% open Β· β±οΈ 24.08.2023):
+- [GitHub](https://github.com/pyRiemann/pyRiemann) (π¨βπ» 26 Β· π 150 Β· π¦ 280 Β· π 100 - 7% open Β· β±οΈ 24.08.2023):
```
git clone https://github.com/pyRiemann/pyRiemann
@@ -686,7 +690,7 @@ _General-purpose machine learning and deep learning frameworks._
```
pip install pyriemann
```
-- [Conda](https://anaconda.org/conda-forge/pyriemann) (π₯ 3.9K Β· β±οΈ 20.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pyriemann) (π₯ 4K Β· β±οΈ 20.06.2023):
```
conda install -c conda-forge pyriemann
```
@@ -698,7 +702,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/nubank/fklearn
```
-- [PyPi](https://pypi.org/project/fklearn) (π₯ 2.6K / month Β· β±οΈ 16.08.2023):
+- [PyPi](https://pypi.org/project/fklearn) (π₯ 2.2K / month Β· β±οΈ 16.08.2023):
```
pip install fklearn
```
@@ -710,43 +714,55 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/itdxer/neupy
```
-- [PyPi](https://pypi.org/project/neupy) (π₯ 1.8K / month):
+- [PyPi](https://pypi.org/project/neupy) (π₯ 1.7K / month):
```
pip install neupy
```
ThunderSVM (π₯21 Β· β 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
+Objax (π₯21 Β· β 750) - 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¦ 39 Β· π 110 - 45% open Β· β±οΈ 12.06.2023):
+
+ ```
+ git clone https://github.com/google/objax
+ ```
+- [PyPi](https://pypi.org/project/objax) (π₯ 590 / 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 200 Β· π₯ 2.7K Β· π 220 - 31% open Β· β±οΈ 13.05.2023):
```
git clone https://github.com/Xtra-Computing/thundersvm
```
-- [PyPi](https://pypi.org/project/thundersvm) (π₯ 250 / month Β· β±οΈ 13.03.2020):
+- [PyPi](https://pypi.org/project/thundersvm) (π₯ 260 / month Β· β±οΈ 13.03.2020):
```
pip install thundersvm
```
NeoML (π₯19 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 65 - 23% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 34 Β· π 120 Β· π 65 - 23% open Β· β±οΈ 02.09.2023):
```
git clone https://github.com/neoml-lib/neoml
```
-- [PyPi](https://pypi.org/project/neoml) (π₯ 110 / month):
+- [PyPi](https://pypi.org/project/neoml) (π₯ 73 / month):
```
pip install neoml
```
chefboost (π₯19 Β· β 400) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT
+chefboost (π₯19 Β· β 410) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT
- [GitHub](https://github.com/serengil/chefboost) (π¨βπ» 6 Β· π 95 Β· π¦ 47 Β· π 32 - 15% open Β· β±οΈ 30.03.2023):
```
git clone https://github.com/serengil/chefboost
```
-- [PyPi](https://pypi.org/project/chefboost) (π₯ 530 / month Β· β±οΈ 16.02.2022):
+- [PyPi](https://pypi.org/project/chefboost) (π₯ 400 / month Β· β±οΈ 16.02.2022):
```
pip install chefboost
```
@@ -758,26 +774,25 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/Xtra-Computing/thundergbm
```
-- [PyPi](https://pypi.org/project/thundergbm) (π₯ 37 / month Β· β±οΈ 19.09.2022):
+- [PyPi](https://pypi.org/project/thundergbm) (π₯ 36 / month Β· β±οΈ 19.09.2022):
```
pip install thundergbm
```
Show 15 hidden projects...
+Show 14 hidden projects...
- dlib (π₯40 Β· β 12K) - A toolkit for making real world machine learning and data analysis.. βοΈBSL-1.0
-- Theano (π₯36 Β· β 9.8K Β· π€) - Theano was a Python library that allows you to define,.. βUnlicensed
- MindsDB (π₯33 Β· β 18K) - MindsDB connects AI models to databases. βοΈGPL-3.0 BSD-3
-- TFlearn (π₯31 Β· β 9.6K Β· π) - Deep learning library featuring a higher-level API for.. βUnlicensed βοΈAGPL-3.0
+- TFlearn (π₯30 Β· β 9.6K Β· π) - Deep learning library featuring a higher-level API for.. βUnlicensed Apache-2
- Lasagne (π₯28 Β· β 3.8K Β· π) - Lightweight library to build and train neural networks in Theano. MIT
-- SHOGUN (π₯27 Β· β 3K Β· π) - Unified and efficient Machine Learning. BSD-3
+- NuPIC (π₯27 Β· β 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. βοΈAGPL-3.0
- xLearn (π₯26 Β· β 3.1K Β· π) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2
-- neon (π₯23 Β· β 3.9K Β· π) - Intel Nervana reference deep learning framework committed to best.. Apache-2
+- SHOGUN (π₯26 Β· β 3K Β· π) - Unified and efficient Machine Learning. BSD-3
- 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 Apache-2 MIT MIT
Matplotlib (π₯50 Β· β 18K) - matplotlib: plotting with Python. Python-2.0
+Matplotlib (π₯48 Β· β 18K) - matplotlib: plotting with Python. βUnlicensed
-- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.6K Β· π 7K Β· π¦ 930K Β· π 10K - 14% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.6K Β· π 6.9K Β· π¦ 940K Β· π 9.7K - 12% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/matplotlib/matplotlib
```
-- [PyPi](https://pypi.org/project/matplotlib) (π₯ 38M / month Β· π¦ 61K Β· β±οΈ 10.08.2023):
+- [PyPi](https://pypi.org/project/matplotlib) (π₯ 37M / month):
```
pip install matplotlib
```
@@ -805,66 +820,66 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge matplotlib
```
Bokeh (π₯45 Β· β 18K Β· π) - 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¦ 75K Β· π 7.4K - 10% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 240 Β· π 2.4K Β· π¦ 200K Β· π 2.8K - 51% open Β· β±οΈ 24.08.2023):
```
- git clone https://github.com/bokeh/bokeh
+ git clone https://github.com/plotly/plotly.py
```
-- [PyPi](https://pypi.org/project/bokeh) (π₯ 5.6M / month Β· π¦ 3.7K Β· β±οΈ 14.08.2023):
+- [PyPi](https://pypi.org/project/plotly) (π₯ 12M / month Β· π¦ 5.1K Β· β±οΈ 16.08.2023):
```
- pip install bokeh
+ pip install plotly
```
-- [Conda](https://anaconda.org/conda-forge/bokeh) (π₯ 12M Β· β±οΈ 14.08.2023):
+- [Conda](https://anaconda.org/conda-forge/plotly) (π₯ 4.7M Β· β±οΈ 16.08.2023):
```
- conda install -c conda-forge bokeh
+ conda install -c conda-forge plotly
+ ```
+- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 36K / month Β· π¦ 6 Β· β±οΈ 12.01.2021):
+ ```
+ npm install plotlywidget
```
Plotly (π₯43 Β· β 14K Β· π) - The interactive graphing library for Python This project now includes.. MIT
+Bokeh (π₯42 Β· β 18K Β· π) - Interactive Data Visualization in the browser, from Python. BSD-3
-- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 240 Β· π 2.4K Β· π¦ 11 Β· π 2.8K - 51% open Β· β±οΈ 24.08.2023):
+- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 670 Β· π 4K Β· π¦ 75K Β· π 7.4K - 9% open Β· β±οΈ 06.09.2023):
```
- git clone https://github.com/plotly/plotly.py
- ```
-- [PyPi](https://pypi.org/project/plotly) (π₯ 12M / month Β· π¦ 5.1K Β· β±οΈ 16.08.2023):
- ```
- pip install plotly
+ git clone https://github.com/bokeh/bokeh
```
-- [Conda](https://anaconda.org/conda-forge/plotly) (π₯ 4.7M Β· β±οΈ 16.08.2023):
+- [PyPi](https://pypi.org/project/bokeh) (π₯ 5.6M / month):
```
- conda install -c conda-forge plotly
+ pip install bokeh
```
-- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 37K / month Β· π¦ 6 Β· β±οΈ 12.01.2021):
+- [Conda](https://anaconda.org/conda-forge/bokeh) (π₯ 12M Β· β±οΈ 14.08.2023):
```
- npm install plotlywidget
+ conda install -c conda-forge bokeh
```
Seaborn (π₯42 Β· β 11K) - Statistical data visualization in Python. BSD-3
-- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 200 Β· π 1.7K Β· π₯ 270 Β· π¦ 300K Β· π 2.4K - 5% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 200 Β· π 1.7K Β· π₯ 270 Β· π¦ 300K Β· π 2.4K - 4% open Β· β±οΈ 01.09.2023):
```
git clone https://github.com/mwaskom/seaborn
```
-- [PyPi](https://pypi.org/project/seaborn) (π₯ 10M / month Β· π¦ 11K Β· β±οΈ 02.02.2023):
+- [PyPi](https://pypi.org/project/seaborn) (π₯ 9.9M / month):
```
pip install seaborn
```
-- [Conda](https://anaconda.org/conda-forge/seaborn) (π₯ 7.3M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/seaborn) (π₯ 7.4M Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge seaborn
```
Altair (π₯42 Β· β 8.4K) - Declarative statistical visualization library for Python. BSD-3
-- [GitHub](https://github.com/altair-viz/altair) (π¨βπ» 160 Β· π 750 Β· π₯ 81 Β· π¦ 70K Β· π 1.9K - 10% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/altair-viz/altair) (π¨βπ» 160 Β· π 700 Β· π₯ 83 Β· π¦ 72K Β· π 1.8K - 9% open Β· β±οΈ 30.08.2023):
```
git clone https://github.com/altair-viz/altair
```
-- [PyPi](https://pypi.org/project/altair) (π₯ 14M / month Β· π¦ 590 Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/altair) (π₯ 14M / month):
```
pip install altair
```
@@ -891,12 +906,12 @@ _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» 110 Β· π 1.5K Β· π¦ 1.2K Β· π 710 - 24% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 110 Β· π 1.5K Β· π¦ 1.2K Β· π 710 - 24% open Β· β±οΈ 05.09.2023):
```
git clone https://github.com/ydataai/pandas-profiling
```
-- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 970K / month Β· π¦ 190 Β· β±οΈ 03.02.2023):
+- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 930K / month Β· π¦ 190 Β· β±οΈ 03.02.2023):
```
pip install pandas-profiling
```
@@ -905,22 +920,6 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge pandas-profiling
```
PyQtGraph (π₯37 Β· β 3.4K Β· π) - Fast data visualization and GUI tools for scientific / engineering.. MIT
-
-- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 260 Β· π 1K Β· π¦ 7.8K Β· π 1.2K - 29% open Β· β±οΈ 31.08.2023):
-
- ```
- git clone https://github.com/pyqtgraph/pyqtgraph
- ```
-- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 120K / month Β· π¦ 920 Β· β±οΈ 29.09.2022):
- ```
- pip install pyqtgraph
- ```
-- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (π₯ 450K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge pyqtgraph
- ```
-pyecharts (π₯36 Β· β 14K) - Python Echarts Plotting Library. MIT
- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 39 Β· π 2.8K Β· π¦ 3.4K Β· π 1.8K - 0% open Β· β±οΈ 21.08.2023):
@@ -928,7 +927,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/pyecharts/pyecharts
```
-- [PyPi](https://pypi.org/project/pyecharts) (π₯ 130K / month Β· π¦ 250 Β· β±οΈ 21.08.2023):
+- [PyPi](https://pypi.org/project/pyecharts) (π₯ 140K / month Β· π¦ 250 Β· β±οΈ 21.08.2023):
```
pip install pyecharts
```
@@ -940,7 +939,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/lmcinnes/umap
```
-- [PyPi](https://pypi.org/project/umap-learn) (π₯ 830K / month Β· π¦ 480 Β· β±οΈ 13.04.2022):
+- [PyPi](https://pypi.org/project/umap-learn) (π₯ 840K / month Β· π¦ 480 Β· β±οΈ 13.04.2022):
```
pip install umap-learn
```
@@ -949,37 +948,57 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge umap-learn
```
FiftyOne (π₯35 Β· β 4.1K) - Visualize, create, and debug image and video datasets.. Apache-2
+FiftyOne (π₯35 Β· β 4.2K) - Visualize, create, and debug image and video datasets.. Apache-2
-- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 92 Β· π 400 Β· π¦ 390 Β· π 1.4K - 36% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 93 Β· π 400 Β· π¦ 390 Β· π 1.3K - 33% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/voxel51/fiftyone
```
-- [PyPi](https://pypi.org/project/fiftyone) (π₯ 67K / month Β· π¦ 8 Β· β±οΈ 08.08.2023):
+- [PyPi](https://pypi.org/project/fiftyone) (π₯ 65K / month):
```
pip install fiftyone
```
plotnine (π₯35 Β· β 3.5K) - A Grammar of Graphics for Python. MIT
+plotnine (π₯35 Β· β 3.6K) - A Grammar of Graphics for Python. MIT
- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 100 Β· π 200 Β· π¦ 5.7K Β· π 580 - 13% open Β· β±οΈ 08.08.2023):
```
git clone https://github.com/has2k1/plotnine
```
-- [PyPi](https://pypi.org/project/plotnine) (π₯ 1.5M / month Β· π¦ 250 Β· β±οΈ 21.07.2023):
+- [PyPi](https://pypi.org/project/plotnine) (π₯ 1.5M / month Β· π¦ 250 Β· β±οΈ 01.09.2023):
```
pip install plotnine
```
-- [Conda](https://anaconda.org/conda-forge/plotnine) (π₯ 300K Β· β±οΈ 31.07.2023):
+- [Conda](https://anaconda.org/conda-forge/plotnine) (π₯ 300K Β· β±οΈ 01.09.2023):
```
conda install -c conda-forge plotnine
```
HoloViews (π₯35 Β· β 2.5K Β· π) - With Holoviews, your data visualizes itself. BSD-3
+VisPy (π₯35 Β· β 3.1K) - High-performance interactive 2D/3D data visualization library. BSD-3
+
+- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 190 Β· π 610 Β· π¦ 1.2K Β· π 1.4K - 21% open Β· β±οΈ 31.08.2023):
+
+ ```
+ git clone https://github.com/vispy/vispy
+ ```
+- [PyPi](https://pypi.org/project/vispy) (π₯ 75K / month):
+ ```
+ pip install vispy
+ ```
+- [Conda](https://anaconda.org/conda-forge/vispy) (π₯ 420K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge vispy
+ ```
+- [npm](https://www.npmjs.com/package/vispy) (π₯ 17 / month Β· π¦ 1 Β· β±οΈ 15.03.2020):
+ ```
+ npm install vispy
+ ```
+HoloViews (π₯35 Β· β 2.5K) - With Holoviews, your data visualizes itself. BSD-3
-- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 140 Β· π 380 Β· π 3.1K - 32% open Β· β±οΈ 28.08.2023):
+- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 140 Β· π 380 Β· π 3.1K - 32% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/holoviz/holoviews
@@ -992,19 +1011,19 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge holoviews
```
-- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 770 / month Β· π¦ 2 Β· β±οΈ 16.08.2023):
+- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 750 / month Β· π¦ 2 Β· β±οΈ 16.08.2023):
```
npm install @pyviz/jupyterlab_pyviz
```
Graphviz (π₯35 Β· β 1.4K) - Simple Python interface for Graphviz. MIT
-- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 19 Β· π 200 Β· π¦ 52K Β· π 160 - 5% open Β· β±οΈ 22.07.2023):
+- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 19 Β· π 200 Β· π¦ 53K Β· π 160 - 5% open Β· β±οΈ 22.07.2023):
```
git clone https://github.com/xflr6/graphviz
```
-- [PyPi](https://pypi.org/project/graphviz) (π₯ 8.4M / month Β· π¦ 3.3K Β· β±οΈ 23.07.2022):
+- [PyPi](https://pypi.org/project/graphviz) (π₯ 8.1M / month Β· π¦ 3.3K Β· β±οΈ 23.07.2022):
```
pip install graphviz
```
@@ -1015,12 +1034,12 @@ _General-purpose and task-specific data visualization libraries._
wordcloud (π₯34 Β· β 9.6K) - A little word cloud generator in Python. MIT
-- [GitHub](https://github.com/amueller/word_cloud) (π¨βπ» 68 Β· π 2.3K Β· π¦ 11 Β· π 520 - 20% open Β· β±οΈ 18.05.2023):
+- [GitHub](https://github.com/amueller/word_cloud) (π¨βπ» 68 Β· π 2.3K Β· π¦ 13 Β· π 520 - 20% open Β· β±οΈ 18.05.2023):
```
git clone https://github.com/amueller/word_cloud
```
-- [PyPi](https://pypi.org/project/wordcloud) (π₯ 1.2M / month Β· π¦ 800 Β· β±οΈ 18.05.2023):
+- [PyPi](https://pypi.org/project/wordcloud) (π₯ 1.3M / month Β· π¦ 810 Β· β±οΈ 18.05.2023):
```
pip install wordcloud
```
@@ -1029,77 +1048,77 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge wordcloud
```
VisPy (π₯34 Β· β 3.1K) - High-performance interactive 2D/3D data visualization library. BSD-3
-
-- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 190 Β· π 610 Β· π¦ 1.2K Β· π 1.4K - 22% open Β· β±οΈ 25.08.2023):
-
- ```
- git clone https://github.com/vispy/vispy
- ```
-- [PyPi](https://pypi.org/project/vispy) (π₯ 78K / month Β· π¦ 130 Β· β±οΈ 12.05.2023):
- ```
- pip install vispy
- ```
-- [Conda](https://anaconda.org/conda-forge/vispy) (π₯ 420K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge vispy
- ```
-- [npm](https://www.npmjs.com/package/vispy) (π₯ 12 / month Β· π¦ 1 Β· β±οΈ 15.03.2020):
- ```
- npm install vispy
- ```
-PyVista (π₯34 Β· β 1.9K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
-- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 130 Β· π 360 Β· π₯ 780 Β· π¦ 2.2K Β· π 1.3K - 27% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 130 Β· π 360 Β· π₯ 780 Β· π¦ 2.2K Β· π 1.3K - 27% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/pyvista/pyvista
```
-- [PyPi](https://pypi.org/project/pyvista) (π₯ 120K / month Β· π¦ 200 Β· β±οΈ 21.07.2023):
+- [PyPi](https://pypi.org/project/pyvista) (π₯ 120K / month Β· π¦ 210 Β· β±οΈ 06.09.2023):
```
pip install pyvista
```
-- [Conda](https://anaconda.org/conda-forge/pyvista) (π₯ 390K Β· β±οΈ 21.07.2023):
+- [Conda](https://anaconda.org/conda-forge/pyvista) (π₯ 390K Β· β±οΈ 07.09.2023):
```
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» 53 Β· π 360 Β· π¦ 2.8K Β· π 560 - 23% open Β· β±οΈ 17.08.2023):
+- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 53 Β· π 360 Β· π¦ 2.8K Β· π 570 - 23% open Β· β±οΈ 04.09.2023):
```
git clone https://github.com/holoviz/datashader
```
-- [PyPi](https://pypi.org/project/datashader) (π₯ 79K / month Β· π¦ 120 Β· β±οΈ 17.08.2023):
+- [PyPi](https://pypi.org/project/datashader) (π₯ 78K / month Β· π¦ 120 Β· β±οΈ 17.08.2023):
```
pip install datashader
```
-- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 650K Β· β±οΈ 17.08.2023):
+- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 660K Β· β±οΈ 17.08.2023):
```
conda install -c conda-forge datashader
```
D-Tale (π₯31 Β· β 4.2K) - Visualizer for pandas data structures. βοΈLGPL-2.1
+Perspective (π₯32 Β· β 6.6K) - A data visualization and analytics component, especially.. Apache-2
-- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 350 Β· π¦ 840 Β· π 530 - 10% open Β· β±οΈ 23.08.2023):
+- [GitHub](https://github.com/finos/perspective) (π¨βπ» 92 Β· π 820 Β· π₯ 1.1K Β· π¦ 570 Β· π 660 - 14% open Β· β±οΈ 31.08.2023):
```
- git clone https://github.com/man-group/dtale
+ git clone https://github.com/finos/perspective
```
-- [PyPi](https://pypi.org/project/dtale) (π₯ 220K / month Β· π¦ 17 Β· β±οΈ 19.07.2023):
+- [PyPi](https://pypi.org/project/perspective-python) (π₯ 5.7K / month Β· π¦ 12 Β· β±οΈ 01.09.2023):
```
- pip install dtale
+ pip install perspective-python
```
-- [Conda](https://anaconda.org/conda-forge/dtale) (π₯ 240K Β· β±οΈ 19.07.2023):
+- [Conda](https://anaconda.org/conda-forge/perspective) (π₯ 440K Β· β±οΈ 01.09.2023):
```
- conda install -c conda-forge dtale
+ conda install -c conda-forge perspective
```
-bqplot (π₯31 Β· β 3.5K) - Plotting library for IPython/Jupyter notebooks. Apache-2
+- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 1.3K / month Β· π¦ 3 Β· β±οΈ 01.09.2023):
+ ```
+ npm install @finos/perspective-jupyterlab
+ ```
+D-Tale (π₯31 Β· β 4.2K) - Visualizer for pandas data structures. βοΈLGPL-2.1
-- [GitHub](https://github.com/bqplot/bqplot) (π¨βπ» 64 Β· π 470 Β· π¦ 46 Β· π 610 - 40% open Β· β±οΈ 27.07.2023):
+- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 350 Β· π¦ 850 Β· π 530 - 9% open Β· β±οΈ 05.09.2023):
+
+ ```
+ git clone https://github.com/man-group/dtale
+ ```
+- [PyPi](https://pypi.org/project/dtale) (π₯ 140K / month Β· π¦ 19 Β· β±οΈ 05.09.2023):
+ ```
+ pip install dtale
+ ```
+- [Conda](https://anaconda.org/conda-forge/dtale) (π₯ 240K Β· β±οΈ 05.09.2023):
+ ```
+ conda install -c conda-forge dtale
+ ```
+bqplot (π₯31 Β· β 3.5K) - Plotting library for IPython/Jupyter notebooks. Apache-2
+
+- [GitHub](https://github.com/bqplot/bqplot) (π¨βπ» 64 Β· π 470 Β· π¦ 47 Β· π 610 - 40% open Β· β±οΈ 27.07.2023):
```
git clone https://github.com/bqplot/bqplot
@@ -1112,39 +1131,43 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge bqplot
```
-- [npm](https://www.npmjs.com/package/bqplot) (π₯ 4.2K / month Β· π¦ 16 Β· β±οΈ 04.08.2023):
+- [npm](https://www.npmjs.com/package/bqplot) (π₯ 4.4K / month Β· π¦ 16 Β· β±οΈ 04.08.2023):
```
npm install bqplot
```
Perspective (π₯30 Β· β 6.6K) - A data visualization and analytics component, especially.. Apache-2
+lets-plot (π₯30 Β· β 1.2K) - Multiplatform plotting library based on Grammar of Graphics. MIT
-- [GitHub](https://github.com/finos/perspective) (π¨βπ» 92 Β· π 820 Β· π₯ 840 Β· π¦ 11 Β· π 670 - 15% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 19 Β· π 48 Β· π₯ 530 Β· π¦ 42 Β· π 420 - 26% open Β· β±οΈ 07.09.2023):
```
- git clone https://github.com/finos/perspective
+ git clone https://github.com/JetBrains/lets-plot
```
-- [PyPi](https://pypi.org/project/perspective-python) (π₯ 5.4K / month Β· π¦ 11 Β· β±οΈ 15.08.2023):
+- [PyPi](https://pypi.org/project/lets-plot) (π₯ 18K / month Β· π¦ 1 Β· β±οΈ 17.08.2023):
```
- pip install perspective-python
+ pip install lets-plot
```
-- [Conda](https://anaconda.org/conda-forge/perspective) (π₯ 440K Β· β±οΈ 17.08.2023):
+Facets Overview (π₯29 Β· β 7.2K) - Visualizations for machine learning datasets. Apache-2
+
+- [GitHub](https://github.com/PAIR-code/facets) (π¨βπ» 31 Β· π 910 Β· π¦ 200 Β· π 160 - 50% open Β· β±οΈ 24.05.2023):
+
```
- conda install -c conda-forge perspective
+ git clone https://github.com/pair-code/facets
```
-- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 970 / month Β· π¦ 3 Β· β±οΈ 15.08.2023):
+- [PyPi](https://pypi.org/project/facets-overview) (π₯ 170K / month Β· π¦ 8 Β· β±οΈ 24.05.2023):
```
- npm install @finos/perspective-jupyterlab
+ pip install facets-overview
```
missingno (π₯30 Β· β 3.6K) - Missing data visualization module for Python. MIT
+missingno (π₯29 Β· β 3.6K Β· π€) - Missing data visualization module for Python. MIT
- [GitHub](https://github.com/ResidentMario/missingno) (π¨βπ» 18 Β· π 460 Β· π¦ 13K Β· π 130 - 6% open Β· β±οΈ 26.02.2023):
```
git clone https://github.com/ResidentMario/missingno
```
-- [PyPi](https://pypi.org/project/missingno) (π₯ 460K / month Β· π¦ 140 Β· β±οΈ 27.02.2022):
+- [PyPi](https://pypi.org/project/missingno) (π₯ 450K / month Β· π¦ 140 Β· β±οΈ 27.02.2022):
```
pip install missingno
```
@@ -1153,41 +1176,45 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge missingno
```
mpld3 (π₯30 Β· β 2.3K Β· π€) - D3 Renderings of Matplotlib Graphics. BSD-3
+Sweetviz (π₯29 Β· β 2.6K) - Visualize and compare datasets, target values and associations, with one.. MIT
-- [GitHub](https://github.com/mpld3/mpld3) (π¨βπ» 51 Β· π 350 Β· π¦ 5K Β· π 360 - 59% open Β· β±οΈ 10.12.2022):
+- [GitHub](https://github.com/fbdesignpro/sweetviz) (π¨βπ» 9 Β· π 250 Β· π¦ 1.7K Β· π 120 - 30% open Β· β±οΈ 25.08.2023):
```
- git clone https://github.com/mpld3/mpld3
- ```
-- [PyPi](https://pypi.org/project/mpld3) (π₯ 290K / month Β· π¦ 410 Β· β±οΈ 10.12.2022):
- ```
- pip install mpld3
+ git clone https://github.com/fbdesignpro/sweetviz
```
-- [Conda](https://anaconda.org/conda-forge/mpld3) (π₯ 190K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/sweetviz) (π₯ 68K / month):
```
- conda install -c conda-forge mpld3
+ pip install sweetviz
```
-- [npm](https://www.npmjs.com/package/mpld3) (π₯ 750 / month Β· π¦ 8 Β· β±οΈ 10.12.2022):
+- [Conda](https://anaconda.org/conda-forge/sweetviz) (π₯ 25K Β· β±οΈ 28.08.2023):
```
- npm install mpld3
+ conda install -c conda-forge sweetviz
```
lets-plot (π₯30 Β· β 1.2K) - Multiplatform plotting library based on Grammar of Graphics. MIT
+mpld3 (π₯29 Β· β 2.3K Β· π€) - D3 Renderings of Matplotlib Graphics. BSD-3
-- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 19 Β· π 48 Β· π₯ 530 Β· π¦ 42 Β· π 410 - 26% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/mpld3/mpld3) (π¨βπ» 51 Β· π 340 Β· π¦ 5K Β· π 350 - 58% open Β· β±οΈ 10.12.2022):
```
- git clone https://github.com/JetBrains/lets-plot
+ git clone https://github.com/mpld3/mpld3
```
-- [PyPi](https://pypi.org/project/lets-plot) (π₯ 15K / month Β· π¦ 1 Β· β±οΈ 17.08.2023):
+- [PyPi](https://pypi.org/project/mpld3) (π₯ 290K / month):
```
- pip install lets-plot
+ pip install mpld3
+ ```
+- [Conda](https://anaconda.org/conda-forge/mpld3) (π₯ 190K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge mpld3
+ ```
+- [npm](https://www.npmjs.com/package/mpld3) (π₯ 730 / month):
+ ```
+ npm install mpld3
```
hvPlot (π₯30 Β· β 800) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3
+hvPlot (π₯29 Β· β 800) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3
-- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 42 Β· π 88 Β· π¦ 3.5K Β· π 650 - 42% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 42 Β· π 88 Β· π¦ 3.6K Β· π 650 - 42% open Β· β±οΈ 29.08.2023):
```
git clone https://github.com/holoviz/hvplot
@@ -1201,42 +1228,26 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge hvplot
```
Facets Overview (π₯29 Β· β 7.2K) - Visualizations for machine learning datasets. Apache-2
-
-- [GitHub](https://github.com/PAIR-code/facets) (π¨βπ» 31 Β· π 910 Β· π¦ 200 Β· π 160 - 50% open Β· β±οΈ 24.05.2023):
-
- ```
- git clone https://github.com/pair-code/facets
- ```
-- [PyPi](https://pypi.org/project/facets-overview) (π₯ 180K / month Β· π¦ 8 Β· β±οΈ 24.05.2023):
- ```
- pip install facets-overview
- ```
-Sweetviz (π₯29 Β· β 2.6K Β· π) - Visualize and compare datasets, target values and associations, with.. MIT
+data-validation (π₯29 Β· β 730) - Library for exploring and validating machine learning.. Apache-2
-- [GitHub](https://github.com/fbdesignpro/sweetviz) (π¨βπ» 9 Β· π 260 Β· π¦ 1.7K Β· π 130 - 35% open Β· β±οΈ 25.08.2023):
+- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 25 Β· π 150 Β· π₯ 470 Β· π¦ 730 Β· π 180 - 21% open Β· β±οΈ 21.08.2023):
```
- git clone https://github.com/fbdesignpro/sweetviz
- ```
-- [PyPi](https://pypi.org/project/sweetviz) (π₯ 66K / month Β· π¦ 12 Β· β±οΈ 26.08.2023):
- ```
- pip install sweetviz
+ git clone https://github.com/tensorflow/data-validation
```
-- [Conda](https://anaconda.org/conda-forge/sweetviz) (π₯ 24K Β· β±οΈ 28.08.2023):
+- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 200K / month Β· π¦ 30 Β· β±οΈ 14.08.2023):
```
- conda install -c conda-forge sweetviz
+ pip install tensorflow-data-validation
```
AutoViz (π₯29 Β· β 1.4K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
+AutoViz (π₯27 Β· β 1.4K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
-- [GitHub](https://github.com/AutoViML/AutoViz) (π¨βπ» 14 Β· π 180 Β· π¦ 540 Β· π 77 - 2% open Β· β±οΈ 04.07.2023):
+- [GitHub](https://github.com/AutoViML/AutoViz) (π¨βπ» 14 Β· π 180 Β· π¦ 540 Β· π 78 - 2% open Β· β±οΈ 04.07.2023):
```
git clone https://github.com/AutoViML/AutoViz
```
-- [PyPi](https://pypi.org/project/autoviz) (π₯ 190K / month Β· π¦ 7 Β· β±οΈ 03.10.2022):
+- [PyPi](https://pypi.org/project/autoviz) (π₯ 60K / month Β· π¦ 7 Β· β±οΈ 03.10.2022):
```
pip install autoviz
```
@@ -1245,26 +1256,14 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge autoviz
```
data-validation (π₯29 Β· β 730) - Library for exploring and validating machine learning.. Apache-2
-
-- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 25 Β· π 150 Β· π₯ 470 Β· π¦ 730 Β· π 180 - 21% open Β· β±οΈ 21.08.2023):
-
- ```
- git clone https://github.com/tensorflow/data-validation
- ```
-- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 210K / month Β· π¦ 30 Β· β±οΈ 14.08.2023):
- ```
- pip install tensorflow-data-validation
- ```
-pythreejs (π₯28 Β· β 890) - A Jupyter - Three.js bridge. BSD-3
+pythreejs (π₯27 Β· β 890 Β· π€) - A Jupyter - Three.js bridge. BSD-3
- [GitHub](https://github.com/jupyter-widgets/pythreejs) (π¨βπ» 30 Β· π 180 Β· π¦ 26 Β· π 230 - 26% open Β· β±οΈ 20.02.2023):
```
git clone https://github.com/jupyter-widgets/pythreejs
```
-- [PyPi](https://pypi.org/project/pythreejs) (π₯ 76K / month Β· π¦ 53 Β· β±οΈ 20.02.2023):
+- [PyPi](https://pypi.org/project/pythreejs) (π₯ 75K / month Β· π¦ 53 Β· β±οΈ 20.02.2023):
```
pip install pythreejs
```
@@ -1272,7 +1271,7 @@ _General-purpose and task-specific data visualization libraries._
```
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](https://www.npmjs.com/package/jupyter-threejs) (π₯ 3.7K / month Β· π¦ 11 Β· β±οΈ 20.02.2023):
```
npm install jupyter-threejs
```
@@ -1284,7 +1283,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/pavlin-policar/openTSNE
```
-- [PyPi](https://pypi.org/project/opentsne) (π₯ 23K / month Β· π¦ 15 Β· β±οΈ 18.03.2022):
+- [PyPi](https://pypi.org/project/opentsne) (π₯ 25K / month Β· π¦ 15 Β· β±οΈ 18.03.2022):
```
pip install opentsne
```
@@ -1295,12 +1294,12 @@ _General-purpose and task-specific data visualization libraries._
Plotly-Resampler (π₯26 Β· β 790) - Visualize large time series data with plotly.py. MIT
-- [GitHub](https://github.com/predict-idlab/plotly-resampler) (π¨βπ» 11 Β· π 53 Β· π¦ 510 Β· π 130 - 29% open Β· β±οΈ 28.08.2023):
+- [GitHub](https://github.com/predict-idlab/plotly-resampler) (π¨βπ» 11 Β· π 53 Β· π¦ 520 Β· π 130 - 29% open Β· β±οΈ 28.08.2023):
```
git clone https://github.com/predict-idlab/plotly-resampler
```
-- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 410K / month Β· π¦ 5 Β· β±οΈ 29.06.2022):
+- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 380K / month Β· π¦ 5 Β· β±οΈ 29.06.2022):
```
pip install plotly-resampler
```
@@ -1316,7 +1315,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/spotify/chartify
```
-- [PyPi](https://pypi.org/project/chartify) (π₯ 2K / month Β· π¦ 10 Β· β±οΈ 23.08.2023):
+- [PyPi](https://pypi.org/project/chartify) (π₯ 2.2K / month):
```
pip install chartify
```
@@ -1327,12 +1326,12 @@ _General-purpose and task-specific data visualization libraries._
HiPlot (π₯25 Β· β 2.5K) - HiPlot makes understanding high dimensional data easy. MIT
-- [GitHub](https://github.com/facebookresearch/hiplot) (π¨βπ» 9 Β· π 130 Β· π¦ 300 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¦ 300 Β· π 85 - 14% open Β· β±οΈ 19.07.2023):
```
git clone https://github.com/facebookresearch/hiplot
```
-- [PyPi](https://pypi.org/project/hiplot) (π₯ 23K / month Β· π¦ 15 Β· β±οΈ 05.07.2022):
+- [PyPi](https://pypi.org/project/hiplot) (π₯ 24K / month):
```
pip install hiplot
```
@@ -1341,7 +1340,7 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge hiplot
```
Multicore-TSNE (π₯25 Β· β 1.8K) - Parallel t-SNE implementation with Python and Torch.. BSD-3
+Multicore-TSNE (π₯24 Β· β 1.8K) - Parallel t-SNE implementation with Python and Torch.. BSD-3
- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (π¨βπ» 17 Β· π 230 Β· π¦ 400 Β· π 66 - 68% open Β· β±οΈ 26.05.2023):
@@ -1364,7 +1363,7 @@ _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₯ 26K / month):
```
pip install pandas-bokeh
```
@@ -1376,7 +1375,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/vega/ipyvega
```
-- [PyPi](https://pypi.org/project/vega) (π₯ 8.9K / month Β· π¦ 83 Β· β±οΈ 10.02.2022):
+- [PyPi](https://pypi.org/project/vega) (π₯ 8.5K / month Β· π¦ 83 Β· β±οΈ 10.02.2022):
```
pip install vega
```
@@ -1392,7 +1391,7 @@ _General-purpose and task-specific data visualization libraries._
```
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 Β· π¦ 24 Β· β±οΈ 17.02.2021):
```
pip install python-ternary
```
@@ -1401,14 +1400,14 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge python-ternary
```
Popmon (π₯23 Β· β 470) - Monitor the stability of a Pandas or Spark dataframe. MIT
+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):
+- [GitHub](https://github.com/ing-bank/popmon) (π¨βπ» 17 Β· π 34 Β· π₯ 120 Β· π¦ 20 Β· π 53 - 24% open Β· β±οΈ 18.07.2023):
```
git clone https://github.com/ing-bank/popmon
```
-- [PyPi](https://pypi.org/project/popmon) (π₯ 8.6K / month Β· π¦ 2 Β· β±οΈ 18.07.2023):
+- [PyPi](https://pypi.org/project/popmon) (π₯ 7.9K / month):
```
pip install popmon
```
@@ -1420,11 +1419,11 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/SauceCat/PDPbox
```
-- [PyPi](https://pypi.org/project/pdpbox) (π₯ 32K / month Β· π¦ 26 Β· β±οΈ 14.03.2021):
+- [PyPi](https://pypi.org/project/pdpbox) (π₯ 31K / month Β· π¦ 26 Β· β±οΈ 14.03.2021):
```
pip install pdpbox
```
-- [Conda](https://anaconda.org/conda-forge/pdpbox) (π₯ 18K Β· β±οΈ 10.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pdpbox) (π₯ 19K Β· β±οΈ 10.06.2023):
```
conda install -c conda-forge pdpbox
```
@@ -1436,24 +1435,25 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/beringresearch/ivis
```
-- [PyPi](https://pypi.org/project/ivis) (π₯ 420 / month Β· π¦ 2 Β· β±οΈ 10.03.2022):
+- [PyPi](https://pypi.org/project/ivis) (π₯ 370 / month Β· π¦ 2 Β· β±οΈ 10.03.2022):
```
pip install ivis
```
Show 13 hidden projects...
+Show 14 hidden projects...
+- PyQtGraph (π₯34 Β· β 3.4K) - Fast data visualization and GUI tools for scientific /.. βUnlicensed
- cartopy (π₯34 Β· β 1.3K) - Cartopy - a cartographic python library with matplotlib support. βοΈLGPL-3.0
- Cufflinks (π₯29 Β· β 2.9K Β· π) - Productivity Tools for Plotly + Pandas. MIT MIT
- PandasGUI (π₯24 Β· β 3K Β· π) - A GUI for Pandas DataFrames. βοΈMIT-0 MIT MIT
-- PyWaffle (π₯21 Β· β 560 Β· π) - Make Waffle Charts in Python. MIT
+- joypy (π₯21 Β· β 500 Β· π) - Joyplots in Python with matplotlib & pandas. MIT
- vegafusion (π₯21 Β· β 260) - Serverside scaling for Vega and Altair visualizations. BSD-3
-- animatplot (π₯19 Β· β 400 Β· π) - A python package for animating plots build on matplotlib. MIT
+- PyWaffle (π₯20 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
+- data-describe (π₯17 Β· β 300 Β· π) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2
- pdvega (π₯16 Β· β 350 Β· π) - Interactive plotting for Pandas using Vega-Lite. MIT
-- data-describe (π₯16 Β· β 300 Β· π) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2
- nx-altair (π₯15 Β· β 220 Β· π) - Draw interactive NetworkX graphs with Altair. MIT Apache-2
transformers (π₯50 Β· β 110K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
-- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 2.1K Β· π 22K Β· π₯ 140 Β· π¦ 96K Β· π 13K - 6% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 2.1K Β· π 22K Β· π₯ 140 Β· π¦ 97K Β· π 13K - 6% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/huggingface/transformers
```
-- [PyPi](https://pypi.org/project/transformers) (π₯ 16M / month Β· π¦ 2.1K Β· β±οΈ 28.08.2023):
+- [PyPi](https://pypi.org/project/transformers) (π₯ 17M / month Β· π¦ 2.2K Β· β±οΈ 06.09.2023):
```
pip install transformers
```
-- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 1.3M Β· β±οΈ 28.08.2023):
+- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 1.3M Β· β±οΈ 07.09.2023):
```
conda install -c conda-forge transformers
```
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 4.1K Β· π¦ 68K Β· π 5.5K - 1% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 740 Β· π 4.2K Β· π¦ 69K Β· π 5.5K - 1% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/explosion/spaCy
```
-- [PyPi](https://pypi.org/project/spacy) (π₯ 6M / month):
+- [PyPi](https://pypi.org/project/spacy) (π₯ 6.2M / month Β· π¦ 2.8K Β· β±οΈ 08.08.2023):
```
pip install spacy
```
@@ -1497,26 +1497,30 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge spacy
```
Rasa (π₯41 Β· β 17K) - Open source machine learning framework to automate text- and voice-.. Apache-2
+nltk (π₯43 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 4.3K Β· π¦ 3.6K Β· π 6.6K - 0% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 440 Β· π 2.8K Β· π¦ 220K Β· π 1.8K - 15% open Β· β±οΈ 02.06.2023):
```
- git clone https://github.com/RasaHQ/rasa
+ git clone https://github.com/nltk/nltk
```
-- [PyPi](https://pypi.org/project/rasa) (π₯ 110K / month):
+- [PyPi](https://pypi.org/project/nltk) (π₯ 12M / month Β· π¦ 13K Β· β±οΈ 02.01.2023):
```
- pip install rasa
+ pip install nltk
+ ```
+- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 2.2M Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge nltk
```
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 4.1K Β· π₯ 4.4K Β· π¦ 50K Β· π 1.8K - 20% open Β· β±οΈ 27.08.2023):
+- [GitHub](https://github.com/RaRe-Technologies/gensim) (π¨βπ» 450 Β· π 4.4K Β· π₯ 4.4K Β· π¦ 50K Β· π 1.8K - 21% open Β· β±οΈ 27.08.2023):
```
git clone https://github.com/RaRe-Technologies/gensim
```
-- [PyPi](https://pypi.org/project/gensim) (π₯ 3.9M / month):
+- [PyPi](https://pypi.org/project/gensim) (π₯ 4M / month Β· π¦ 3.1K Β· β±οΈ 24.08.2023):
```
pip install gensim
```
@@ -1525,122 +1529,102 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge gensim
```
nltk (π₯41 Β· β 12K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
-
-- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 440 Β· π 2.6K Β· π¦ 220K Β· π 1.7K - 14% open Β· β±οΈ 02.06.2023):
-
- ```
- git clone https://github.com/nltk/nltk
- ```
-- [PyPi](https://pypi.org/project/nltk) (π₯ 12M / month):
- ```
- pip install nltk
- ```
-- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 2.2M Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge nltk
- ```
-haystack (π₯37 Β· β 11K) - LLM orchestration framework to build customizable, production-ready.. Apache-2
+Rasa (π₯40 Β· β 17K) - Open source machine learning framework to automate text- and voice-.. Apache-2
-- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 190 Β· π 1.3K Β· π₯ 23 Β· π¦ 860 Β· π 2.5K - 16% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/RasaHQ/rasa) (π¨βπ» 590 Β· π 4.4K Β· π¦ 3.6K Β· π 6.8K - 1% open Β· β±οΈ 01.09.2023):
```
- git clone https://github.com/deepset-ai/haystack
+ git clone https://github.com/RasaHQ/rasa
```
-- [PyPi](https://pypi.org/project/haystack) (π₯ 2.3K / month Β· π¦ 87 Β· β±οΈ 03.07.2017):
+- [PyPi](https://pypi.org/project/rasa) (π₯ 110K / month Β· π¦ 66 Β· β±οΈ 07.09.2023):
```
- pip install haystack
+ pip install rasa
```
fairseq (π₯36 Β· β 27K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
+flair (π₯38 Β· β 13K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT
-- [GitHub](https://github.com/facebookresearch/fairseq) (π¨βπ» 420 Β· π 5.8K Β· π₯ 320 Β· π¦ 1.9K Β· π 4K - 24% open Β· β±οΈ 18.08.2023):
+- [GitHub](https://github.com/flairNLP/flair) (π¨βπ» 250 Β· π 2K Β· π¦ 2.7K Β· π 2.2K - 3% open Β· β±οΈ 04.09.2023):
```
- git clone https://github.com/facebookresearch/fairseq
+ git clone https://github.com/flairNLP/flair
```
-- [PyPi](https://pypi.org/project/fairseq) (π₯ 320K / month):
+- [PyPi](https://pypi.org/project/flair) (π₯ 90K / month Β· π¦ 87 Β· β±οΈ 20.05.2022):
```
- pip install fairseq
+ pip install flair
```
-- [Conda](https://anaconda.org/conda-forge/fairseq) (π₯ 47K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/python-flair) (π₯ 21K Β· β±οΈ 23.07.2023):
```
- conda install -c conda-forge fairseq
+ conda install -c conda-forge python-flair
```
AllenNLP (π₯36 Β· β 12K Β· π€) - An open-source NLP research library, built on PyTorch. Apache-2
+Tokenizers (π₯38 Β· β 7.5K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
-- [GitHub](https://github.com/allenai/allennlp) (π¨βπ» 260 Β· π 2.3K Β· π₯ 61 Β· π¦ 3.7K Β· π 2.6K - 3% open Β· β±οΈ 22.11.2022):
+- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 77 Β· π 630 Β· π₯ 32 Β· π¦ 41K Β· π 830 - 31% open Β· β±οΈ 07.09.2023):
```
- git clone https://github.com/allenai/allennlp
+ git clone https://github.com/huggingface/tokenizers
```
-- [PyPi](https://pypi.org/project/allennlp) (π₯ 42K / month Β· π¦ 190 Β· β±οΈ 18.10.2022):
+- [PyPi](https://pypi.org/project/tokenizers) (π₯ 12M / month Β· π¦ 300 Β· β±οΈ 07.09.2023):
```
- pip install allennlp
+ pip install tokenizers
```
-- [Conda](https://anaconda.org/conda-forge/allennlp) (π₯ 110K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/tokenizers) (π₯ 1.2M Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge allennlp
+ conda install -c conda-forge tokenizers
```
Tokenizers (π₯36 Β· β 7.5K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
+haystack (π₯37 Β· β 11K) - LLM orchestration framework to build customizable, production-ready.. Apache-2
-- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 77 Β· π 610 Β· π₯ 31 Β· π¦ 40K Β· π 810 - 29% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 190 Β· π 1.4K Β· π₯ 23 Β· π¦ 870 Β· π 2.5K - 16% open Β· β±οΈ 07.09.2023):
```
- git clone https://github.com/huggingface/tokenizers
- ```
-- [PyPi](https://pypi.org/project/tokenizers) (π₯ 12M / month):
- ```
- pip install tokenizers
+ git clone https://github.com/deepset-ai/haystack
```
-- [Conda](https://anaconda.org/conda-forge/tokenizers) (π₯ 1.2M Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/haystack) (π₯ 2.2K / month Β· π¦ 87 Β· β±οΈ 03.07.2017):
```
- conda install -c conda-forge tokenizers
+ pip install haystack
```
fastText (π₯35 Β· β 25K) - Library for fast text representation and classification. MIT
+fairseq (π₯36 Β· β 27K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
-- [GitHub](https://github.com/facebookresearch/fastText) (π¨βπ» 63 Β· π 4.5K Β· π¦ 4.9K Β· π 1.1K - 42% open Β· β±οΈ 25.08.2023):
+- [GitHub](https://github.com/facebookresearch/fairseq) (π¨βπ» 420 Β· π 6.1K Β· π₯ 320 Β· π¦ 2K Β· π 4.1K - 26% open Β· β±οΈ 18.08.2023):
```
- git clone https://github.com/facebookresearch/fastText
+ git clone https://github.com/facebookresearch/fairseq
```
-- [PyPi](https://pypi.org/project/fasttext) (π₯ 1.2M / month):
+- [PyPi](https://pypi.org/project/fairseq) (π₯ 380K / month Β· π¦ 64 Β· β±οΈ 27.06.2022):
```
- pip install fasttext
+ pip install fairseq
```
-- [Conda](https://anaconda.org/conda-forge/fasttext) (π₯ 63K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/fairseq) (π₯ 47K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge fasttext
+ conda install -c conda-forge fairseq
```
sentence-transformers (π₯35 Β· β 12K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2
+AllenNLP (π₯35 Β· β 12K Β· π€) - An open-source NLP research library, built on PyTorch. Apache-2
-- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 110 Β· π 2.1K Β· π¦ 14K Β· π 1.8K - 56% open Β· β±οΈ 08.08.2023):
+- [GitHub](https://github.com/allenai/allennlp) (π¨βπ» 260 Β· π 2.3K Β· π₯ 61 Β· π¦ 3.7K Β· π 2.6K - 3% open Β· β±οΈ 22.11.2022):
```
- git clone https://github.com/UKPLab/sentence-transformers
+ git clone https://github.com/allenai/allennlp
```
-- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 2.5M / month Β· π¦ 420 Β· β±οΈ 26.06.2022):
+- [PyPi](https://pypi.org/project/allennlp) (π₯ 41K / month Β· π¦ 190 Β· β±οΈ 18.10.2022):
```
- pip install sentence-transformers
+ pip install allennlp
```
-- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 150K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/allennlp) (π₯ 120K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge sentence-transformers
+ conda install -c conda-forge allennlp
```
TextBlob (π₯35 Β· β 8.7K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT
-- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 36 Β· π 1.1K Β· π₯ 110 Β· π¦ 32K Β· π 260 - 39% 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¦ 32K Β· π 270 - 42% open Β· β±οΈ 11.03.2023):
```
git clone https://github.com/sloria/TextBlob
```
-- [PyPi](https://pypi.org/project/textblob) (π₯ 620K / month):
+- [PyPi](https://pypi.org/project/textblob) (π₯ 600K / month Β· π¦ 1.4K Β· β±οΈ 22.10.2021):
```
pip install textblob
```
@@ -1649,90 +1633,122 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge textblob
```
sentencepiece (π₯35 Β· β 8.1K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
+sentencepiece (π₯35 Β· β 8.2K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
-- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 78 Β· π 990 Β· π₯ 30K Β· π¦ 39K Β· π 650 - 3% open Β· β±οΈ 05.08.2023):
+- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 78 Β· π 1K Β· π₯ 30K Β· π¦ 40K Β· π 650 - 3% open Β· β±οΈ 05.08.2023):
```
git clone https://github.com/google/sentencepiece
```
-- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 9.9M / month):
+- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 9.9M / month Β· π¦ 760 Β· β±οΈ 02.05.2023):
```
pip install sentencepiece
```
-- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 580K Β· β±οΈ 01.07.2023):
+- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 590K Β· β±οΈ 01.07.2023):
```
conda install -c conda-forge sentencepiece
```
NeMo (π₯35 Β· β 7.8K) - NeMo: a toolkit for conversational AI. Apache-2
-- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 240 Β· π 1.7K Β· π₯ 65K Β· π¦ 11 Β· π 1.7K - 3% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 240 Β· π 1.8K Β· π₯ 67K Β· π¦ 13 Β· π 1.8K - 5% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/NVIDIA/NeMo
```
-- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 39K / month):
+- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 40K / month Β· π¦ 10 Β· β±οΈ 04.08.2023):
```
pip install nemo-toolkit
```
OpenNMT (π₯35 Β· β 6.2K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT
+spark-nlp (π₯35 Β· β 3.4K) - State of the Art Natural Language Processing. Apache-2
-- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (π¨βπ» 190 Β· π 2.1K Β· π¦ 220 Β· π 1.4K - 1% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 110 Β· π 670 Β· π¦ 340 Β· π 810 - 4% open Β· β±οΈ 06.09.2023):
```
- git clone https://github.com/OpenNMT/OpenNMT-py
+ git clone https://github.com/JohnSnowLabs/spark-nlp
```
-- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 3.6K / month):
+- [PyPi](https://pypi.org/project/spark-nlp) (π₯ 2M / month Β· π¦ 29 Β· β±οΈ 26.08.2023):
```
- pip install OpenNMT-py
+ pip install spark-nlp
```
spark-nlp (π₯35 Β· β 3.4K) - State of the Art Natural Language Processing. Apache-2
+TensorFlow Text (π₯35 Β· β 1.1K) - Making text a first-class citizen in TensorFlow. Apache-2
-- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 110 Β· π 670 Β· π¦ 340 Β· π 810 - 4% open Β· β±οΈ 28.08.2023):
+- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 110 Β· π 300 Β· π¦ 5.8K Β· π 300 - 47% open Β· β±οΈ 28.08.2023):
```
- git clone https://github.com/JohnSnowLabs/spark-nlp
+ git clone https://github.com/tensorflow/text
```
-- [PyPi](https://pypi.org/project/spark-nlp) (π₯ 2.4M / month Β· π¦ 29 Β· β±οΈ 26.08.2023):
+- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 3.3M / month Β· π¦ 110 Β· β±οΈ 18.08.2023):
```
- pip install spark-nlp
+ pip install tensorflow-text
```
TensorFlow Text (π₯35 Β· β 1.1K) - Making text a first-class citizen in TensorFlow. Apache-2
+fastText (π₯34 Β· β 25K) - Library for fast text representation and classification. MIT
-- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 110 Β· π 290 Β· π¦ 5.7K Β· π 220 - 28% open Β· β±οΈ 28.08.2023):
+- [GitHub](https://github.com/facebookresearch/fastText) (π¨βπ» 63 Β· π 4.6K Β· π¦ 4.9K Β· π 1.2K - 47% open Β· β±οΈ 25.08.2023):
```
- git clone https://github.com/tensorflow/text
+ git clone https://github.com/facebookresearch/fastText
```
-- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 3.4M / month):
+- [PyPi](https://pypi.org/project/fasttext) (π₯ 1.2M / month Β· π¦ 220 Β· β±οΈ 28.04.2020):
```
- pip install tensorflow-text
+ pip install fasttext
+ ```
+- [Conda](https://anaconda.org/conda-forge/fasttext) (π₯ 63K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge fasttext
+ ```
+sentence-transformers (π₯34 Β· β 12K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2
+
+- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 110 Β· π 2.1K Β· π¦ 15K Β· π 1.8K - 56% open Β· β±οΈ 08.08.2023):
+
+ ```
+ git clone https://github.com/UKPLab/sentence-transformers
+ ```
+- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 2.6M / month Β· π¦ 420 Β· β±οΈ 26.06.2022):
+ ```
+ pip install sentence-transformers
+ ```
+- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 150K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge sentence-transformers
```
ParlAI (π₯34 Β· β 10K) - A framework for training and evaluating AI models on a variety of.. MIT
-- [GitHub](https://github.com/facebookresearch/ParlAI) (π¨βπ» 210 Β· π 2.1K Β· π¦ 210 Β· π 1.5K - 3% open Β· β±οΈ 14.08.2023):
+- [GitHub](https://github.com/facebookresearch/ParlAI) (π¨βπ» 210 Β· π 2.1K Β· π¦ 210 Β· π 1.5K - 3% open Β· β±οΈ 05.09.2023):
```
git clone https://github.com/facebookresearch/ParlAI
```
-- [PyPi](https://pypi.org/project/parlai) (π₯ 1K / month Β· π¦ 5 Β· β±οΈ 20.09.2022):
+- [PyPi](https://pypi.org/project/parlai) (π₯ 1.1K / month Β· π¦ 5 Β· β±οΈ 20.09.2022):
```
pip install parlai
```
rubrix (π₯34 Β· β 2.4K) - Argilla: the open-source data curation platform for LLMs. Apache-2
+OpenNMT (π₯34 Β· β 6.2K) - 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¦ 220 Β· π 1.4K - 1% open Β· β±οΈ 06.09.2023):
+
+ ```
+ git clone https://github.com/OpenNMT/OpenNMT-py
+ ```
+- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 3.7K / month Β· π¦ 10 Β· β±οΈ 06.09.2023):
+ ```
+ pip install OpenNMT-py
+ ```
+rubrix (π₯34 Β· β 2.5K) - Argilla: the open-source data curation platform for LLMs. Apache-2
-- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 62 Β· π 230 Β· π¦ 1.6K Β· π 1.4K - 16% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 63 Β· π 230 Β· π¦ 1.7K Β· π 1.4K - 15% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/recognai/rubrix
```
-- [PyPi](https://pypi.org/project/rubrix) (π₯ 330 / month Β· β±οΈ 24.10.2022):
+- [PyPi](https://pypi.org/project/rubrix) (π₯ 320 / month):
```
pip install rubrix
```
@@ -1741,20 +1757,16 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge rubrix
```
stanza (π₯32 Β· β 6.8K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2
+torchtext (π₯33 Β· β 3.4K Β· π) - Models, data loaders and abstractions for language.. BSD-3
-- [GitHub](https://github.com/stanfordnlp/stanza) (π¨βπ» 58 Β· π 860 Β· π¦ 2.1K Β· π 810 - 11% open Β· β±οΈ 14.03.2023):
+- [GitHub](https://github.com/pytorch/text) (π¨βπ» 150 Β· π 810 Β· π 810 - 37% open Β· β±οΈ 01.09.2023):
```
- git clone https://github.com/stanfordnlp/stanza
- ```
-- [PyPi](https://pypi.org/project/stanza) (π₯ 120K / month Β· π¦ 90 Β· β±οΈ 14.03.2023):
- ```
- pip install stanza
+ git clone https://github.com/pytorch/text
```
-- [Conda](https://anaconda.org/stanfordnlp/stanza) (π₯ 7K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/torchtext) (π₯ 430K / month Β· π¦ 470 Β· β±οΈ 08.05.2023):
```
- conda install -c stanfordnlp stanza
+ pip install torchtext
```
DeepPavlov (π₯32 Β· β 6.3K) - An open source library for deep learning end-to-end dialog.. Apache-2
@@ -1764,19 +1776,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/deepmipt/DeepPavlov
```
-- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 7.6K / month):
+- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 8K / month Β· π¦ 6 Β· β±οΈ 17.08.2023):
```
pip install deeppavlov
```
jellyfish (π₯32 Β· β 1.9K) - a python library for doing approximate and phonetic matching of strings. MIT
-- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 30 Β· π 160 Β· π¦ 6.7K Β· π 130 - 5% open Β· β±οΈ 16.08.2023):
+- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 30 Β· π 160 Β· π¦ 6.8K Β· π 130 - 5% open Β· β±οΈ 16.08.2023):
```
git clone https://github.com/jamesturk/jellyfish
```
-- [PyPi](https://pypi.org/project/jellyfish) (π₯ 2.2M / month Β· π¦ 440 Β· β±οΈ 23.06.2023):
+- [PyPi](https://pypi.org/project/jellyfish) (π₯ 2.1M / month Β· π¦ 440 Β· β±οΈ 23.06.2023):
```
pip install jellyfish
```
@@ -1785,30 +1797,46 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge jellyfish
```
Dedupe (π₯30 Β· β 3.8K) - A python library for accurate and scalable fuzzy matching, record.. MIT
+stanza (π₯31 Β· β 6.8K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2
-- [GitHub](https://github.com/dedupeio/dedupe) (π¨βπ» 70 Β· π 520 Β· π¦ 290 Β· π 800 - 9% open Β· β±οΈ 17.02.2023):
+- [GitHub](https://github.com/stanfordnlp/stanza) (π¨βπ» 58 Β· π 860 Β· π¦ 2.1K Β· π 810 - 11% open Β· β±οΈ 14.03.2023):
```
- git clone https://github.com/dedupeio/dedupe
+ git clone https://github.com/stanfordnlp/stanza
```
-- [PyPi](https://pypi.org/project/dedupe) (π₯ 61K / month Β· π¦ 49 Β· β±οΈ 17.02.2023):
+- [PyPi](https://pypi.org/project/stanza) (π₯ 120K / month Β· π¦ 90 Β· β±οΈ 14.03.2023):
```
- pip install dedupe
+ pip install stanza
```
-- [Conda](https://anaconda.org/conda-forge/dedupe) (π₯ 39K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/stanfordnlp/stanza) (π₯ 7.1K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge dedupe
+ conda install -c stanfordnlp stanza
+ ```
+snowballstemmer (π₯31 Β· β 680) - Snowball compiler and stemming algorithms. BSD-3
+
+- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 33 Β· π 170 Β· π¦ 4 Β· π 83 - 37% open Β· β±οΈ 07.09.2023):
+
+ ```
+ git clone https://github.com/snowballstem/snowball
+ ```
+- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 9.4M / month Β· π¦ 6.8K Β· β±οΈ 16.11.2021):
+ ```
+ pip install snowballstemmer
+ ```
+- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 7.1M Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge snowballstemmer
```
ftfy (π₯30 Β· β 3.6K Β· π€) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT
-- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 18 Β· π 110 Β· π¦ 13K Β· π 130 - 9% open Β· β±οΈ 25.10.2022):
+- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 18 Β· π 120 Β· π¦ 13K Β· π 140 - 11% open Β· β±οΈ 25.10.2022):
```
git clone https://github.com/rspeer/python-ftfy
```
-- [PyPi](https://pypi.org/project/ftfy) (π₯ 3.4M / month):
+- [PyPi](https://pypi.org/project/ftfy) (π₯ 3.4M / month Β· π¦ 600 Β· β±οΈ 09.02.2022):
```
pip install ftfy
```
@@ -1817,6 +1845,18 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge ftfy
```
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):
+
+ ```
+ git clone https://github.com/dmlc/gluon-nlp
+ ```
+- [PyPi](https://pypi.org/project/gluonnlp) (π₯ 110K / month Β· π¦ 22 Β· β±οΈ 13.08.2020):
+ ```
+ pip install gluonnlp
+ ```
+spacy-transformers (π₯30 Β· β 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
- [GitHub](https://github.com/explosion/spacy-transformers) (π¨βπ» 21 Β· π 160 Β· π¦ 1.2K Β· β±οΈ 11.08.2023):
@@ -1824,7 +1864,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/explosion/spacy-transformers
```
-- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 290K / month Β· π¦ 40 Β· β±οΈ 01.08.2023):
+- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 330K / month Β· π¦ 40 Β· β±οΈ 01.08.2023):
```
pip install spacy-transformers
```
@@ -1833,58 +1873,34 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge spacy-transformers
```
snowballstemmer (π₯30 Β· β 680) - Snowball compiler and stemming algorithms. BSD-3
+Dedupe (π₯29 Β· β 3.8K Β· π€) - A python library for accurate and scalable fuzzy matching, record.. MIT
-- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 33 Β· π 170 Β· π¦ 4 Β· π 83 - 37% open Β· β±οΈ 07.08.2023):
+- [GitHub](https://github.com/dedupeio/dedupe) (π¨βπ» 70 Β· π 520 Β· π¦ 290 Β· π 800 - 9% open Β· β±οΈ 17.02.2023):
```
- git clone https://github.com/snowballstem/snowball
+ git clone https://github.com/dedupeio/dedupe
```
-- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 9.4M / month Β· π¦ 6.8K Β· β±οΈ 16.11.2021):
+- [PyPi](https://pypi.org/project/dedupe) (π₯ 60K / month Β· π¦ 49 Β· β±οΈ 17.02.2023):
```
- pip install snowballstemmer
+ pip install dedupe
```
-- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 7.1M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/dedupe) (π₯ 39K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge snowballstemmer
+ conda install -c conda-forge dedupe
```
english-words (π₯29 Β· β 9.3K Β· π€) - A text file containing 479k English words for all your.. Unlicense
+english-words (π₯28 Β· β 9.3K 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¦ 1 Β· π 130 - 73% open Β· β±οΈ 08.11.2022):
```
git clone https://github.com/dwyl/english-words
```
-- [PyPi](https://pypi.org/project/english-words) (π₯ 580K / month Β· π¦ 8 Β· β±οΈ 06.01.2023):
+- [PyPi](https://pypi.org/project/english-words) (π₯ 590K / month Β· π¦ 8 Β· β±οΈ 06.01.2023):
```
pip install english-words
```
GluonNLP (π₯29 Β· β 2.5K Β· π€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2
-
-- [GitHub](https://github.com/dmlc/gluon-nlp) (π¨βπ» 84 Β· π 500 Β· π¦ 1.4K Β· π 530 - 44% open Β· β±οΈ 25.12.2022):
-
- ```
- git clone https://github.com/dmlc/gluon-nlp
- ```
-- [PyPi](https://pypi.org/project/gluonnlp) (π₯ 120K / month):
- ```
- pip install gluonnlp
- ```
-torchtext (π₯28 Β· β 3.4K Β· π) - Models, data loaders and abstractions for language.. BSD-3
-
-- [GitHub](https://github.com/pytorch/text) (π¨βπ» 150 Β· π 770 Β· π 760 - 33% open Β· β±οΈ 28.07.2023):
-
- ```
- git clone https://github.com/pytorch/text
- ```
-- [PyPi](https://pypi.org/project/torchtext) (π₯ 430K / month):
- ```
- pip install torchtext
- ```
-Sumy (π₯28 Β· β 3.2K) - 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):
@@ -1901,78 +1917,50 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge sumy
```
TextDistance (π₯28 Β· β 3.2K Β· π€) - Compute distance between sequences. 30+ algorithms, pure.. MIT
-
-- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 13 Β· π 240 Β· π₯ 910 Β· π¦ 4.8K Β· β±οΈ 18.09.2022):
-
- ```
- git clone https://github.com/life4/textdistance
- ```
-- [PyPi](https://pypi.org/project/textdistance) (π₯ 320K / month Β· π¦ 56 Β· β±οΈ 20.09.2022):
- ```
- pip install textdistance
- ```
-- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 450K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge textdistance
- ```
-fastNLP (π₯28 Β· β 3K Β· π€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
-
-- [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):
-
- ```
- git clone https://github.com/fastnlp/fastNLP
- ```
-- [PyPi](https://pypi.org/project/fastnlp) (π₯ 20K / month Β· π¦ 2 Β· β±οΈ 31.10.2022):
- ```
- pip install fastnlp
- ```
-DeepKE (π₯28 Β· β 2.3K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT
-- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 28 Β· π 550 Β· π¦ 19 Β· β±οΈ 28.08.2023):
+- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 28 Β· π 550 Β· π¦ 19 Β· π 310 - 0% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/zjunlp/deepke
```
-- [PyPi](https://pypi.org/project/deepke) (π₯ 360 / month Β· β±οΈ 05.08.2023):
+- [PyPi](https://pypi.org/project/deepke) (π₯ 280 / month):
```
pip install deepke
```
PyTextRank (π₯28 Β· β 2K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT
-- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 310 Β· π¦ 460 Β· π 97 - 6% open Β· β±οΈ 22.08.2023):
+- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 350 Β· π¦ 460 Β· π 98 - 7% open Β· β±οΈ 22.08.2023):
```
git clone https://github.com/DerwenAI/pytextrank
```
-- [PyPi](https://pypi.org/project/pytextrank) (π₯ 55K / month):
+- [PyPi](https://pypi.org/project/pytextrank) (π₯ 50K / month Β· π¦ 17 Β· β±οΈ 07.08.2023):
```
pip install pytextrank
```
SciSpacy (π₯28 Β· β 1.5K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
-- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 30 Β· π 200 Β· π¦ 740 Β· π 300 - 10% open Β· β±οΈ 16.08.2023):
+- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 30 Β· π 200 Β· π¦ 750 Β· π 300 - 10% open Β· β±οΈ 16.08.2023):
```
git clone https://github.com/allenai/scispacy
```
-- [PyPi](https://pypi.org/project/scispacy) (π₯ 57K / month Β· π¦ 30 Β· β±οΈ 07.09.2022):
+- [PyPi](https://pypi.org/project/scispacy) (π₯ 55K / month Β· π¦ 30 Β· β±οΈ 07.09.2022):
```
pip install scispacy
```
Ciphey (π₯27 Β· β 14K Β· π€) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
+Ciphey (π₯27 Β· β 14K Β· π€) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
-- [GitHub](https://github.com/Ciphey/Ciphey) (π¨βπ» 47 Β· π 820 Β· π 310 - 15% open Β· β±οΈ 05.12.2022):
+- [GitHub](https://github.com/Ciphey/Ciphey) (π¨βπ» 47 Β· π 850 Β· π 320 - 17% open Β· β±οΈ 05.12.2022):
```
git clone https://github.com/Ciphey/Ciphey
```
-- [PyPi](https://pypi.org/project/ciphey) (π₯ 33K / month):
+- [PyPi](https://pypi.org/project/ciphey) (π₯ 35K / month Β· β±οΈ 06.06.2021):
```
pip install ciphey
```
@@ -1981,74 +1969,102 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
docker pull remnux/ciphey
```
qdrant (π₯27 Β· β 13K) - Qdrant - Vector Database for the next generation of AI applications... Apache-2
+qdrant (π₯27 Β· β 13K) - Qdrant - Vector Database for the next generation of AI applications... Apache-2
-- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 62 Β· π 670 Β· π₯ 900 Β· π 690 - 20% open Β· β±οΈ 23.08.2023):
+- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 65 Β· π 670 Β· π₯ 1.2K Β· π 670 - 15% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/qdrant/qdrant
```
happy-transformer (π₯27 Β· β 460) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
+TextDistance (π₯27 Β· β 3.2K Β· π€) - Compute distance between sequences. 30+ algorithms, pure.. MIT
-- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 60 Β· π¦ 190 Β· π 130 - 13% open Β· β±οΈ 10.08.2023):
+- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 13 Β· π 240 Β· π₯ 910 Β· π¦ 4.8K Β· β±οΈ 18.09.2022):
```
- git clone https://github.com/EricFillion/happy-transformer
+ git clone https://github.com/life4/textdistance
```
-- [PyPi](https://pypi.org/project/happytransformer) (π₯ 4.4K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
+- [PyPi](https://pypi.org/project/textdistance) (π₯ 300K / month Β· π¦ 56 Β· β±οΈ 20.09.2022):
```
- pip install happytransformer
+ pip install textdistance
+ ```
+- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 450K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge textdistance
```
sense2vec (π₯26 Β· β 1.5K) - Contextually-keyed word vectors. MIT
+fastNLP (π₯27 Β· β 3K Β· π€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
-- [GitHub](https://github.com/explosion/sense2vec) (π¨βπ» 19 Β· π 240 Β· π₯ 57K Β· π¦ 280 Β· π 110 - 18% open Β· β±οΈ 20.04.2023):
+- [GitHub](https://github.com/fastnlp/fastNLP) (π¨βπ» 61 Β· π 450 Β· π₯ 74 Β· π¦ 160 Β· π 210 - 26% open Β· β±οΈ 13.12.2022):
```
- git clone https://github.com/explosion/sense2vec
+ git clone https://github.com/fastnlp/fastNLP
```
-- [PyPi](https://pypi.org/project/sense2vec) (π₯ 1.8K / month Β· π¦ 13 Β· β±οΈ 19.04.2021):
+- [PyPi](https://pypi.org/project/fastnlp) (π₯ 21K / month):
```
- pip install sense2vec
+ pip install fastnlp
```
-- [Conda](https://anaconda.org/conda-forge/sense2vec) (π₯ 34K Β· β±οΈ 16.06.2023):
+litellm (π₯27 Β· β 950 Β· π£) - lightweight package to simplify LLM API calls -.. MIT o t h e r s
+
+- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 12 Β· π 49 Β· π¦ 52 Β· π 260 - 36% open Β· β±οΈ 07.09.2023):
+
```
- conda install -c conda-forge sense2vec
+ git clone https://github.com/BerriAI/litellm
+ ```
+- [PyPi](https://pypi.org/project/litellm) (π₯ 22K / month Β· π¦ 4 Β· β±οΈ 07.09.2023):
+ ```
+ pip install litellm
+ ```
+scattertext (π₯26 Β· β 2.1K) - Beautiful visualizations of how language differs among document.. Apache-2
+
+- [GitHub](https://github.com/JasonKessler/scattertext) (π¨βπ» 14 Β· π 280 Β· π¦ 420 Β· π 99 - 21% open Β· β±οΈ 05.09.2023):
+
+ ```
+ git clone https://github.com/JasonKessler/scattertext
+ ```
+- [PyPi](https://pypi.org/project/scattertext) (π₯ 9K / month Β· π¦ 10 Β· β±οΈ 26.03.2022):
+ ```
+ pip install scattertext
+ ```
+- [Conda](https://anaconda.org/conda-forge/scattertext) (π₯ 84K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge scattertext
```
CLTK (π₯26 Β· β 800) - The Classical Language Toolkit. MIT
-- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 320 Β· π₯ 42 Β· π¦ 240 Β· π 550 - 6% open Β· β±οΈ 06.03.2023):
+- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 310 Β· π₯ 42 Β· π¦ 240 Β· π 550 - 6% open Β· β±οΈ 06.03.2023):
```
git clone https://github.com/cltk/cltk
```
-- [PyPi](https://pypi.org/project/cltk) (π₯ 330 / month):
+- [PyPi](https://pypi.org/project/cltk) (π₯ 340 / month Β· π¦ 42 Β· β±οΈ 13.10.2022):
```
pip install cltk
```
T5 (π₯25 Β· β 5.4K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
+happy-transformer (π₯26 Β· β 460) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
-- [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 15.08.2023):
+- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 59 Β· π¦ 190 Β· π 130 - 13% open Β· β±οΈ 10.08.2023):
```
- git clone https://github.com/google-research/text-to-text-transfer-transformer
+ git clone https://github.com/EricFillion/happy-transformer
```
-- [PyPi](https://pypi.org/project/t5) (π₯ 180K / month Β· π¦ 2 Β· β±οΈ 18.10.2021):
+- [PyPi](https://pypi.org/project/happytransformer) (π₯ 4.2K / month):
```
- pip install t5
+ pip install happytransformer
```
OpenPrompt (π₯25 Β· β 3.7K) - An Open-Source Framework for Prompt-Learning. Apache-2
-- [GitHub](https://github.com/thunlp/OpenPrompt) (π¨βπ» 22 Β· π 400 Β· π¦ 70 Β· π 240 - 29% open Β· β±οΈ 06.05.2023):
+- [GitHub](https://github.com/thunlp/OpenPrompt) (π¨βπ» 22 Β· π 390 Β· π¦ 71 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₯ 2.6K / month Β· π¦ 2 Β· β±οΈ 06.07.2022):
+- [PyPi](https://pypi.org/project/openprompt) (π₯ 2.5K / month):
```
pip install openprompt
```
@@ -2060,181 +2076,177 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/PetrochukM/PyTorch-NLP
```
-- [PyPi](https://pypi.org/project/pytorch-nlp) (π₯ 6.6K / month Β· π¦ 19 Β· β±οΈ 04.11.2019):
+- [PyPi](https://pypi.org/project/pytorch-nlp) (π₯ 6K / month Β· π¦ 19 Β· β±οΈ 04.11.2019):
```
pip install pytorch-nlp
```
scattertext (π₯25 Β· β 2.1K Β· π) - Beautiful visualizations of how language differs among.. Apache-2
+sense2vec (π₯25 Β· β 1.5K) - Contextually-keyed word vectors. MIT
-- [GitHub](https://github.com/JasonKessler/scattertext) (π¨βπ» 14 Β· π 280 Β· π¦ 420 Β· π 99 - 21% open Β· β±οΈ 06.05.2023):
+- [GitHub](https://github.com/explosion/sense2vec) (π¨βπ» 19 Β· π 240 Β· π₯ 58K Β· π¦ 280 Β· π 110 - 18% open Β· β±οΈ 20.04.2023):
```
- git clone https://github.com/JasonKessler/scattertext
+ git clone https://github.com/explosion/sense2vec
```
-- [PyPi](https://pypi.org/project/scattertext) (π₯ 10K / month):
+- [PyPi](https://pypi.org/project/sense2vec) (π₯ 1.8K / month Β· π¦ 13 Β· β±οΈ 19.04.2021):
```
- pip install scattertext
+ pip install sense2vec
```
-- [Conda](https://anaconda.org/conda-forge/scattertext) (π₯ 83K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sense2vec) (π₯ 34K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge scattertext
+ conda install -c conda-forge sense2vec
```
litellm (π₯25 Β· β 840 Β· π£) - lightweight package to simplify LLM API calls -.. MIT o t h e r s
+PyText (π₯24 Β· β 6.4K Β· π€) - A natural language modeling framework based on PyTorch. BSD-3
-- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 12 Β· π 40 Β· π¦ 38 Β· π 220 - 46% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/facebookresearch/pytext) (π¨βπ» 230 Β· π 820 Β· π₯ 350 Β· π¦ 13 Β· π 220 - 66% open Β· β±οΈ 17.10.2022):
```
- git clone https://github.com/BerriAI/litellm
+ git clone https://github.com/facebookresearch/pytext
```
-- [PyPi](https://pypi.org/project/litellm) (π₯ 16K / month Β· π¦ 3 Β· β±οΈ 31.08.2023):
+- [PyPi](https://pypi.org/project/pytext-nlp) (π₯ 67 / month Β· π¦ 1 Β· β±οΈ 08.06.2020):
```
- pip install litellm
+ pip install pytext-nlp
```
promptsource (π₯24 Β· β 2.1K) - Toolkit for creating, sharing and using natural language.. Apache-2
+T5 (π₯24 Β· β 5.4K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
-- [GitHub](https://github.com/bigscience-workshop/promptsource) (π¨βπ» 64 Β· π 280 Β· π¦ 54 Β· π 190 - 25% open Β· β±οΈ 27.07.2023):
+- [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 15.08.2023):
```
- git clone https://github.com/bigscience-workshop/promptsource
+ git clone https://github.com/google-research/text-to-text-transfer-transformer
```
-- [PyPi](https://pypi.org/project/promptsource) (π₯ 5.3K / month Β· π¦ 1 Β· β±οΈ 18.04.2022):
+- [PyPi](https://pypi.org/project/t5) (π₯ 100K / month Β· π¦ 2 Β· β±οΈ 18.10.2021):
```
- pip install promptsource
+ pip install t5
```
jiant (π₯24 Β· β 1.6K Β· π€) - jiant is an nlp toolkit. MIT
+Texthero (π₯24 Β· β 2.8K) - Text preprocessing, representation and visualization from zero to hero. MIT
-- [GitHub](https://github.com/nyu-mll/jiant) (π¨βπ» 60 Β· π 280 Β· π¦ 3 Β· π 550 - 12% open Β· β±οΈ 17.10.2022):
+- [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):
```
- git clone https://github.com/nyu-mll/jiant
+ git clone https://github.com/jbesomi/texthero
```
-- [PyPi](https://pypi.org/project/jiant) (π₯ 190 / month Β· β±οΈ 10.05.2021):
+- [PyPi](https://pypi.org/project/texthero) (π₯ 14K / month Β· π¦ 6 Β· β±οΈ 01.07.2021):
```
- pip install jiant
+ pip install texthero
```
Texthero (π₯23 Β· β 2.8K) - Text preprocessing, representation and visualization from zero to hero. MIT
+promptsource (π₯24 Β· β 2.1K) - Toolkit for creating, sharing and using natural language.. Apache-2
-- [GitHub](https://github.com/jbesomi/texthero) (π¨βπ» 21 Β· π 230 Β· π₯ 120 Β· π 120 - 45% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/bigscience-workshop/promptsource) (π¨βπ» 64 Β· π 280 Β· π¦ 55 Β· π 160 - 10% open Β· β±οΈ 27.07.2023):
```
- git clone https://github.com/jbesomi/texthero
+ git clone https://github.com/bigscience-workshop/promptsource
```
-- [PyPi](https://pypi.org/project/texthero) (π₯ 16K / month):
+- [PyPi](https://pypi.org/project/promptsource) (π₯ 5.3K / month):
```
- pip install texthero
+ pip install promptsource
```
FARM (π₯23 Β· β 1.7K Β· π€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2
+jiant (π₯23 Β· β 1.6K Β· π€) - jiant is an nlp toolkit. MIT
-- [GitHub](https://github.com/deepset-ai/FARM) (π¨βπ» 37 Β· π 230 Β· π 400 - 0% open Β· β±οΈ 31.08.2022):
+- [GitHub](https://github.com/nyu-mll/jiant) (π¨βπ» 60 Β· π 280 Β· π¦ 3 Β· π 550 - 12% open Β· β±οΈ 17.10.2022):
```
- git clone https://github.com/deepset-ai/FARM
- ```
-- [PyPi](https://pypi.org/project/farm) (π₯ 3.4K / month):
- ```
- pip install farm
+ git clone https://github.com/nyu-mll/jiant
```
-- [Conda](https://anaconda.org/conda-forge/farm) (π₯ 2.9K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/jiant) (π₯ 100 / month Β· β±οΈ 10.05.2021):
```
- conda install -c conda-forge farm
+ pip install jiant
```
YouTokenToMe (π₯23 Β· β 900) - Unsupervised text tokenizer focused on computational efficiency. MIT
+detoxify (π₯23 Β· β 710) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
-- [GitHub](https://github.com/VKCOM/YouTokenToMe) (π¨βπ» 8 Β· π 76 Β· π¦ 510 Β· π 57 - 52% open Β· β±οΈ 29.03.2023):
+- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 11 Β· π 91 Β· π₯ 270K Β· π¦ 390 Β· π 53 - 54% open Β· β±οΈ 23.08.2023):
```
- git clone https://github.com/vkcom/youtokentome
- ```
-- [PyPi](https://pypi.org/project/youtokentome) (π₯ 37K / month):
- ```
- pip install youtokentome
+ git clone https://github.com/unitaryai/detoxify
```
-- [Conda](https://anaconda.org/conda-forge/youtokentome) (π₯ 36K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/detoxify) (π₯ 20K / month):
```
- conda install -c conda-forge youtokentome
+ pip install detoxify
```
detoxify (π₯23 Β· β 700) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
+fast-bert (π₯22 Β· β 1.8K) - Super easy library for BERT based NLP models. Apache-2
-- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 11 Β· π 90 Β· π₯ 260K Β· π¦ 390 Β· π 54 - 55% open Β· β±οΈ 23.08.2023):
+- [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/unitaryai/detoxify
+ git clone https://github.com/utterworks/fast-bert
```
-- [PyPi](https://pypi.org/project/detoxify) (π₯ 18K / month Β· π¦ 10 Β· β±οΈ 19.12.2022):
+- [PyPi](https://pypi.org/project/fast-bert) (π₯ 810 / month Β· π¦ 2 Β· β±οΈ 27.07.2023):
```
- pip install detoxify
+ pip install fast-bert
```
Sockeye (π₯22 Β· β 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
+YouTokenToMe (π₯22 Β· β 900) - Unsupervised text tokenizer focused on computational efficiency. MIT
-- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 59 Β· π 300 Β· π₯ 17 Β· π 300 - 0% open Β· β±οΈ 25.08.2023):
+- [GitHub](https://github.com/VKCOM/YouTokenToMe) (π¨βπ» 8 Β· π 76 Β· π¦ 510 Β· π 63 - 57% open Β· β±οΈ 29.03.2023):
```
- git clone https://github.com/awslabs/sockeye
+ git clone https://github.com/vkcom/youtokentome
```
-- [PyPi](https://pypi.org/project/sockeye) (π₯ 840 / month):
+- [PyPi](https://pypi.org/project/youtokentome) (π₯ 38K / month Β· π¦ 23 Β· β±οΈ 12.02.2020):
```
- pip install sockeye
+ pip install youtokentome
+ ```
+- [Conda](https://anaconda.org/conda-forge/youtokentome) (π₯ 36K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge youtokentome
```
small-text (π₯22 Β· β 480) - Active Learning for Text Classification in Python. MIT
-- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 4 Β· π 51 Β· π¦ 21 Β· π 39 - 23% open Β· β±οΈ 19.08.2023):
+- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 4 Β· π 51 Β· π¦ 21 Β· π 40 - 25% open Β· β±οΈ 19.08.2023):
```
git clone https://github.com/webis-de/small-text
```
-- [PyPi](https://pypi.org/project/small-text) (π₯ 640 / month Β· β±οΈ 19.08.2023):
+- [PyPi](https://pypi.org/project/small-text) (π₯ 600 / month Β· β±οΈ 19.08.2023):
```
pip install small-text
```
-- [Conda](https://anaconda.org/conda-forge/small-text) (π₯ 4.1K Β· β±οΈ 19.08.2023):
+- [Conda](https://anaconda.org/conda-forge/small-text) (π₯ 4.2K Β· β±οΈ 19.08.2023):
```
conda install -c conda-forge small-text
```
NLP Architect (π₯21 Β· β 2.9K Β· π€) - A model library for exploring state-of-the-art deep.. Apache-2
+Sockeye (π₯21 Β· β 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
-- [GitHub](https://github.com/IntelLabs/nlp-architect) (π¨βπ» 38 Β· π 450 Β· π¦ 9 Β· π 130 - 11% open Β· β±οΈ 07.11.2022):
+- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 59 Β· π 330 Β· π₯ 17 Β· π 300 - 0% open Β· β±οΈ 25.08.2023):
```
- git clone https://github.com/IntelLabs/nlp-architect
+ git clone https://github.com/awslabs/sockeye
```
-- [PyPi](https://pypi.org/project/nlp-architect) (π₯ 160 / month Β· β±οΈ 12.04.2020):
+- [PyPi](https://pypi.org/project/sockeye) (π₯ 1K / month Β· π¦ 2 Β· β±οΈ 12.06.2017):
```
- pip install nlp-architect
+ pip install sockeye
```
fast-bert (π₯21 Β· β 1.8K) - Super easy library for BERT based NLP models. Apache-2
+finetune (π₯21 Β· β 690) - Scikit-learn style model finetuning for NLP. MPL-2.0
-- [GitHub](https://github.com/utterworks/fast-bert) (π¨βπ» 36 Β· π 330 Β· π 250 - 61% open Β· β±οΈ 27.07.2023):
+- [GitHub](https://github.com/IndicoDataSolutions/finetune) (π¨βπ» 21 Β· π 77 Β· π¦ 11 Β· π 140 - 15% open Β· β±οΈ 18.05.2023):
```
- git clone https://github.com/utterworks/fast-bert
+ git clone https://github.com/IndicoDataSolutions/finetune
```
-- [PyPi](https://pypi.org/project/fast-bert) (π₯ 860 / month):
+- [PyPi](https://pypi.org/project/finetune) (π₯ 100 / month Β· π¦ 2 Β· β±οΈ 20.12.2021):
```
- pip install fast-bert
+ pip install finetune
```
finetune (π₯21 Β· β 690) - Scikit-learn style model finetuning for NLP. MPL-2.0
+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/IndicoDataSolutions/finetune) (π¨βπ» 21 Β· π 77 Β· π¦ 11 Β· π 140 - 15% open Β· β±οΈ 18.05.2023):
+- [GitHub](https://github.com/IntelLabs/nlp-architect) (π¨βπ» 38 Β· π 450 Β· π¦ 9 Β· π 130 - 16% open Β· β±οΈ 07.11.2022):
```
- git clone https://github.com/IndicoDataSolutions/finetune
+ git clone https://github.com/IntelLabs/nlp-architect
```
-- [PyPi](https://pypi.org/project/finetune) (π₯ 86 / month):
+- [PyPi](https://pypi.org/project/nlp-architect) (π₯ 130 / month Β· β±οΈ 12.04.2020):
```
- pip install finetune
+ pip install nlp-architect
```
lightseq (π₯20 Β· β 2.9K) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2
@@ -2244,41 +2256,41 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/bytedance/lightseq
```
-- [PyPi](https://pypi.org/project/lightseq) (π₯ 5.4K / month Β· π¦ 2 Β· β±οΈ 03.11.2022):
+- [PyPi](https://pypi.org/project/lightseq) (π₯ 7K / month Β· π¦ 2 Β· β±οΈ 03.11.2022):
```
pip install lightseq
```
textaugment (π₯19 Β· β 330) - TextAugment: Text Augmentation Library. MIT
+textaugment (π₯19 Β· β 340) - TextAugment: Text Augmentation Library. MIT
-- [GitHub](https://github.com/dsfsi/textaugment) (π¨βπ» 7 Β· π 57 Β· π₯ 61 Β· π¦ 59 Β· π 22 - 40% open Β· β±οΈ 03.04.2023):
+- [GitHub](https://github.com/dsfsi/textaugment) (π¨βπ» 7 Β· π 56 Β· π₯ 61 Β· π¦ 59 Β· π 22 - 40% open Β· β±οΈ 03.04.2023):
```
git clone https://github.com/dsfsi/textaugment
```
-- [PyPi](https://pypi.org/project/textaugment) (π₯ 3.3K / month Β· π¦ 4 Β· β±οΈ 05.11.2020):
+- [PyPi](https://pypi.org/project/textaugment) (π₯ 3.2K / month Β· π¦ 4 Β· β±οΈ 05.11.2020):
```
pip install textaugment
```
OpenNRE (π₯17 Β· β 4.1K Β· π€) - An Open-Source Package for Neural Relation Extraction (NRE). MIT
+UForm (π₯18 Β· β 410) - Multi-Modal AI library for Multi-Lingual Text, Image, and Video.. Apache-2
-- [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/unum-cloud/uform) (π¨βπ» 9 Β· π 18 Β· π¦ 6 Β· β±οΈ 01.09.2023):
```
- git clone https://github.com/thunlp/OpenNRE
+ git clone https://github.com/unum-cloud/uform
+ ```
+- [PyPi](https://pypi.org/project/uform) (π₯ 890 / month Β· β±οΈ 01.09.2023):
+ ```
+ pip install uform
```
UForm (π₯17 Β· β 410 Β· π£) - Multi-Modal AI inference library for Multi-Lingual Text,.. Apache-2
+OpenNRE (π₯17 Β· β 4.1K Β· π€) - An Open-Source Package for Neural Relation Extraction (NRE). MIT
-- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 9 Β· π 17 Β· π¦ 6 Β· β±οΈ 17.08.2023):
+- [GitHub](https://github.com/thunlp/OpenNRE) (π¨βπ» 12 Β· π 1K Β· π 360 - 2% open Β· β±οΈ 03.01.2023):
```
- git clone https://github.com/unum-cloud/uform
- ```
-- [PyPi](https://pypi.org/project/uform) (π₯ 990 / month Β· β±οΈ 17.08.2023):
- ```
- pip install uform
+ git clone https://github.com/thunlp/OpenNRE
```
TextBox (π₯16 Β· β 1K) - TextBox 2.0 is a text generation library with pre-trained language models. MIT
@@ -2300,53 +2312,52 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/facebookresearch/vizseq
```
-- [PyPi](https://pypi.org/project/vizseq) (π₯ 61 / month Β· β±οΈ 07.08.2020):
+- [PyPi](https://pypi.org/project/vizseq) (π₯ 58 / month Β· β±οΈ 07.08.2020):
```
pip install vizseq
```
Show 40 hidden projects...
+Show 39 hidden projects...
-- flair (π₯37 Β· β 13K) - A very simple framework for state-of-the-art Natural Language.. βUnlicensed BSD-3
-- fuzzywuzzy (π₯34 Β· β 8.9K Β· π) - Fuzzy String Matching in Python. βοΈGPL-2.0
-- nlpaug (π₯30 Β· β 4.1K Β· π) - Data augmentation for NLP. MIT
+- fuzzywuzzy (π₯33 Β· β 9K Β· π) - Fuzzy String Matching in Python. βοΈGPL-2.0
- textacy (π₯30 Β· β 2.1K) - NLP, before and after spaCy. βUnlicensed
-- vaderSentiment (π₯28 Β· β 4K Β· π) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary and.. MIT
-- underthesea (π₯28 Β· β 1.2K) - Underthesea - Vietnamese NLP Toolkit. βοΈGPL-3.0
-- polyglot (π₯27 Β· β 2.2K Β· π) - Multilingual text (NLP) processing toolkit. βοΈGPL-3.0
+- nlpaug (π₯29 Β· β 4.1K Β· π) - Data augmentation for NLP. MIT
+- langid (π₯28 Β· β 2.1K Β· π) - Stand-alone language identification system. BSD-3
+- vaderSentiment (π₯27 Β· β 4K Β· π) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary and.. MIT
+- polyglot (π₯27 Β· β 2.2K Β· π) - Multilingual text (NLP) processing toolkit. βοΈGPL-3.0
+- underthesea (π₯27 Β· β 1.2K) - Underthesea - Vietnamese NLP Toolkit. βοΈGPL-3.0
- flashtext (π₯26 Β· β 5.4K Β· π) - Extract Keywords from sentence or Replace keywords in sentences. MIT
-- neuralcoref (π₯26 Β· β 2.7K Β· π) - Fast Coreference Resolution in spaCy with Neural Networks. 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 2.7K Β· π) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
+- pySBD (π₯25 Β· β 640 Β· π) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
- whoosh (π₯25 Β· β 450 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 βUnlicensed
-- pySBD (π₯24 Β· β 640 Β· π) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
-- Snips NLU (π₯23 Β· β 3.8K Β· π) - Snips Python library to extract meaning from text. Apache-2
-- MatchZoo (π₯23 Β· β 3.8K Β· π) - Facilitating the design, comparison and sharing of deep.. Apache-2 Apache-2 Apache-2 Apache-2 βUnlicensed BSD-3
- gpt-2-simple (π₯22 Β· β 3.3K Β· π) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT 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 Apache-2 MIT βοΈGPL-3.0
- numerizer (π₯20 Β· β 210) - A Python module to convert natural language numerics into ints and.. MIT
+- textpipe (π₯19 Β· β 300 Β· π) - Textpipe: clean and extract metadata from text. MIT
- fastT5 (π₯18 Β· β 500 Β· π) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
- 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
-- DeepMatcher (π₯17 Β· β 500 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
-- 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 MIT
+- BLINK (π₯14 Β· β 1.1K Β· π) - Entity Linker solution. MIT
+- 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
- textvec (π₯14 Β· β 190 Β· π) - Text vectorization tool to outperform TFIDF for classification.. MIT MIT Apache-2
-- spacy-dbpedia-spotlight (π₯13 Β· β 91) - A spaCy wrapper for DBpedia Spotlight. MIT spacy
-- Headliner (π₯11 Β· β 230 Β· π) - Easy training and deployment of seq2seq models. βUnlicensed
+- spacy-dbpedia-spotlight (π₯12 Β· β 91) - A spaCy wrapper for DBpedia Spotlight. MIT spacy
@@ -2358,12 +2369,12 @@ _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 2.1K Β· π¦ 1.3M Β· π 2.9K - 3% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 450 Β· π 2.1K Β· π¦ 1.3M Β· π 2.9K - 3% open Β· β±οΈ 05.09.2023):
```
git clone https://github.com/python-pillow/Pillow
```
-- [PyPi](https://pypi.org/project/Pillow) (π₯ 63M / month Β· π¦ 66K Β· β±οΈ 01.07.2023):
+- [PyPi](https://pypi.org/project/Pillow) (π₯ 62M / month Β· π¦ 66K Β· β±οΈ 01.07.2023):
```
pip install Pillow
```
@@ -2374,7 +2385,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
torchvision (π₯42 Β· β 14K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
-- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 550 Β· π 6.8K Β· π₯ 30K Β· π¦ 11 Β· π 3.1K - 29% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 550 Β· π 6.8K Β· π₯ 30K Β· π¦ 13 Β· π 3.1K - 29% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/pytorch/vision
@@ -2383,79 +2394,79 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
pip install torchvision
```
-- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 820K Β· β±οΈ 22.06.2023):
+- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 830K Β· β±οΈ 22.06.2023):
```
conda install -c conda-forge torchvision
```
Kornia (π₯38 Β· β 8.5K) - Computer Vision and Robotics Library for AI. Apache-2
+PyTorch Image Models (π₯40 Β· β 27K Β· π) - PyTorch image models, scripts, pretrained weights --.. Apache-2
-- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 220 Β· π 860 Β· π₯ 810 Β· π¦ 5.9K Β· π 820 - 30% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 110 Β· π 4.3K Β· π₯ 5.4M Β· π¦ 16K Β· π 790 - 7% open Β· β±οΈ 02.09.2023):
```
- git clone https://github.com/kornia/kornia
+ git clone https://github.com/rwightman/pytorch-image-models
```
-- [PyPi](https://pypi.org/project/kornia) (π₯ 2.4M / month Β· π¦ 110 Β· β±οΈ 02.08.2023):
+- [PyPi](https://pypi.org/project/timm) (π₯ 4M / month Β· π¦ 290 Β· β±οΈ 02.09.2023):
```
- pip install kornia
+ pip install timm
```
-- [Conda](https://anaconda.org/conda-forge/kornia) (π₯ 96K Β· β±οΈ 04.08.2023):
+- [Conda](https://anaconda.org/conda-forge/timm) (π₯ 92K Β· β±οΈ 05.09.2023):
```
- conda install -c conda-forge kornia
+ conda install -c conda-forge timm
```
imageio (π₯38 Β· β 1.3K) - Python library for reading and writing image data. BSD-2
+MMDetection (π₯39 Β· β 25K Β· π) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
-- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 100 Β· π 260 Β· π₯ 820 Β· π¦ 100K Β· π 570 - 16% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/open-mmlab/mmdetection) (π¨βπ» 410 Β· π 9K Β· π¦ 1.6K Β· π 7.5K - 13% open Β· β±οΈ 30.06.2023):
```
- git clone https://github.com/imageio/imageio
- ```
-- [PyPi](https://pypi.org/project/imageio) (π₯ 15M / month Β· π¦ 3K Β· β±οΈ 26.08.2023):
- ```
- pip install imageio
+ git clone https://github.com/open-mmlab/mmdetection
```
-- [Conda](https://anaconda.org/conda-forge/imageio) (π₯ 5.5M Β· β±οΈ 12.06.2023):
+- [PyPi](https://pypi.org/project/mmdet) (π₯ 160K / month Β· π¦ 27 Β· β±οΈ 01.06.2022):
```
- conda install -c conda-forge imageio
+ pip install mmdet
```
PyTorch Image Models (π₯36 Β· β 27K Β· π) - PyTorch image models, scripts, pretrained weights --.. Apache-2
+Kornia (π₯38 Β· β 8.6K) - Computer Vision and Robotics Library for AI. Apache-2
-- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 110 Β· π 4.2K Β· π₯ 5.3M Β· π¦ 11 Β· π 790 - 8% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 220 Β· π 860 Β· π₯ 810 Β· π¦ 6.1K Β· π 830 - 30% open Β· β±οΈ 06.09.2023):
```
- git clone https://github.com/rwightman/pytorch-image-models
+ git clone https://github.com/kornia/kornia
```
-- [PyPi](https://pypi.org/project/timm) (π₯ 3.8M / month):
+- [PyPi](https://pypi.org/project/kornia) (π₯ 2.4M / month Β· π¦ 110 Β· β±οΈ 02.08.2023):
```
- pip install timm
+ pip install kornia
```
-- [Conda](https://anaconda.org/conda-forge/timm) (π₯ 90K Β· β±οΈ 04.08.2023):
+- [Conda](https://anaconda.org/conda-forge/kornia) (π₯ 97K Β· β±οΈ 04.08.2023):
```
- conda install -c conda-forge timm
+ conda install -c conda-forge kornia
```
MMDetection (π₯36 Β· β 25K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
+imageio (π₯38 Β· β 1.3K) - Python library for reading and writing image data. BSD-2
-- [GitHub](https://github.com/open-mmlab/mmdetection) (π¨βπ» 410 Β· π 9K Β· π¦ 11 Β· π 7.5K - 13% open Β· β±οΈ 30.06.2023):
+- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 100 Β· π 260 Β· π₯ 830 Β· π¦ 100K Β· π 570 - 15% open Β· β±οΈ 04.09.2023):
```
- git clone https://github.com/open-mmlab/mmdetection
+ git clone https://github.com/imageio/imageio
```
-- [PyPi](https://pypi.org/project/mmdet) (π₯ 180K / month Β· π¦ 27 Β· β±οΈ 01.06.2022):
+- [PyPi](https://pypi.org/project/imageio) (π₯ 15M / month Β· π¦ 3K Β· β±οΈ 04.09.2023):
```
- pip install mmdet
+ pip install imageio
+ ```
+- [Conda](https://anaconda.org/conda-forge/imageio) (π₯ 5.5M Β· β±οΈ 12.06.2023):
+ ```
+ conda install -c conda-forge imageio
```
MoviePy (π₯36 Β· β 11K) - Video editing with Python. MIT
+MoviePy (π₯36 Β· β 11K) - Video editing with Python. MIT
-- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 160 Β· π 1.4K Β· π¦ 28K 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¦ 28K Β· π 1.4K - 24% open Β· β±οΈ 11.07.2023):
```
git clone https://github.com/Zulko/moviepy
```
-- [PyPi](https://pypi.org/project/moviepy) (π₯ 670K / month):
+- [PyPi](https://pypi.org/project/moviepy) (π₯ 640K / month):
```
pip install moviepy
```
@@ -2464,7 +2475,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge moviepy
```
Albumentations (π₯35 Β· β 12K) - Fast image augmentation library and an easy-to-use wrapper.. MIT
+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¦ 17K Β· π 800 - 46% open Β· β±οΈ 10.06.2023):
@@ -2482,7 +2493,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
detectron2 (π₯34 Β· β 26K) - Detectron2 is a platform for object detection, segmentation.. Apache-2
-- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 260 Β· π 6.7K Β· π¦ 1.3K Β· π 3.4K - 10% open Β· β±οΈ 25.08.2023):
+- [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 06.09.2023):
```
git clone https://github.com/facebookresearch/detectron2
@@ -2496,7 +2507,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge detectron2
```
opencv-python (π₯34 Β· β 3.7K Β· π) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
+opencv-python (π₯34 Β· β 3.7K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 47 Β· π 740 Β· π 700 - 10% open Β· β±οΈ 09.08.2023):
@@ -2510,12 +2521,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Wand (π₯34 Β· β 1.3K) - The ctypes-based simple ImageMagick binding for Python. MIT
-- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 100 Β· π 200 Β· π₯ 23K Β· π¦ 17K Β· π 400 - 5% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 100 Β· π 200 Β· π₯ 23K Β· π¦ 17K Β· π 410 - 5% open Β· β±οΈ 30.08.2023):
```
git clone https://github.com/emcconville/wand
```
-- [PyPi](https://pypi.org/project/wand) (π₯ 710K / month Β· π¦ 710 Β· β±οΈ 05.01.2023):
+- [PyPi](https://pypi.org/project/wand) (π₯ 680K / month Β· π¦ 710 Β· β±οΈ 05.01.2023):
```
pip install wand
```
@@ -2526,26 +2537,26 @@ _Libraries for image & video processing, manipulation, and augmentation as well
PaddleSeg (π₯33 Β· β 7.5K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (π¨βπ» 120 Β· π 1.5K Β· π¦ 1K Β· π 1.9K - 16% open Β· β±οΈ 18.08.2023):
+- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (π¨βπ» 120 Β· π 1.5K Β· π¦ 1K Β· π 1.9K - 15% open Β· β±οΈ 05.09.2023):
```
git clone https://github.com/PaddlePaddle/PaddleSeg
```
-- [PyPi](https://pypi.org/project/paddleseg) (π₯ 2.1K / month Β· π¦ 4 Β· β±οΈ 30.11.2022):
+- [PyPi](https://pypi.org/project/paddleseg) (π₯ 2.2K / month):
```
pip install paddleseg
```
deepface (π₯32 Β· β 7.3K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
+PaddleDetection (π₯31 Β· β 11K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
-- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 43 Β· π 1.5K Β· π¦ 1.8K Β· π 750 - 1% open Β· β±οΈ 07.08.2023):
+- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 140 Β· π 2.7K Β· π¦ 110 Β· π 5K - 24% open Β· β±οΈ 07.09.2023):
```
- git clone https://github.com/serengil/deepface
+ git clone https://github.com/PaddlePaddle/PaddleDetection
```
-- [PyPi](https://pypi.org/project/deepface) (π₯ 27K / month Β· π¦ 14 Β· β±οΈ 24.01.2023):
+- [PyPi](https://pypi.org/project/paddledet) (π₯ 700 / month):
```
- pip install deepface
+ pip install paddledet
```
ImageHash (π₯31 Β· β 2.8K) - A Python Perceptual Image Hashing Module. BSD-2
@@ -2559,33 +2570,21 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
pip install ImageHash
```
-- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 330K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/imagehash):
```
conda install -c conda-forge imagehash
```
vit-pytorch (π₯30 Β· β 15K) - Implementation of Vision Transformer, a simple way to achieve.. MIT
-- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 18 Β· π 2.5K Β· π¦ 300 Β· π 230 - 47% open Β· β±οΈ 14.08.2023):
+- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 18 Β· π 2.5K Β· π¦ 300 Β· π 230 - 46% open Β· β±οΈ 14.08.2023):
```
git clone https://github.com/lucidrains/vit-pytorch
```
-- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 17K / month Β· π¦ 6 Β· β±οΈ 14.08.2023):
- ```
- pip install vit-pytorch
- ```
-PaddleDetection (π₯30 Β· β 11K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
-
-- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 140 Β· π 2.6K Β· π¦ 110 Β· π 5K - 23% open Β· β±οΈ 18.08.2023):
-
- ```
- git clone https://github.com/PaddlePaddle/PaddleDetection
- ```
-- [PyPi](https://pypi.org/project/paddledet) (π₯ 760 / month Β· π¦ 1 Β· β±οΈ 19.09.2022):
+- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 17K / month Β· π¦ 6 Β· β±οΈ 14.08.2023):
```
- pip install paddledet
+ pip install vit-pytorch
```
imageai (π₯30 Β· β 8K) - A python library built to empower developers to build applications and.. MIT
@@ -2595,7 +2594,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/OlafenwaMoses/ImageAI
```
-- [PyPi](https://pypi.org/project/imageai) (π₯ 5.5K / month Β· π¦ 18 Β· β±οΈ 02.01.2023):
+- [PyPi](https://pypi.org/project/imageai) (π₯ 5.6K / month Β· π¦ 18 Β· β±οΈ 02.01.2023):
```
pip install imageai
```
@@ -2604,33 +2603,45 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge imageai
```
deepface (π₯30 Β· β 7.3K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
+
+- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 43 Β· π 1.4K Β· π¦ 1.8K Β· π 760 - 1% open Β· β±οΈ 04.09.2023):
+
+ ```
+ git clone https://github.com/serengil/deepface
+ ```
+- [PyPi](https://pypi.org/project/deepface) (π₯ 27K / month):
+ ```
+ pip install deepface
+ ```
+lightly (π₯30 Β· β 2.5K) - A python library for self-supervised learning on images. MIT
-- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 30 Β· π 210 Β· π¦ 160 Β· π 460 - 19% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 31 Β· π 210 Β· π¦ 160 Β· π 460 - 18% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/lightly-ai/lightly
```
-- [PyPi](https://pypi.org/project/lightly) (π₯ 10K / month Β· π¦ 4 Β· β±οΈ 29.08.2023):
+- [PyPi](https://pypi.org/project/lightly) (π₯ 10K / month):
```
pip install lightly
```
Face Alignment (π₯29 Β· β 6.5K) - 2D and 3D Face alignment library build using pytorch. BSD-3
-- [GitHub](https://github.com/1adrianb/face-alignment) (π¨βπ» 26 Β· π 1.3K Β· π¦ 11 Β· π 300 - 22% open Β· β±οΈ 16.08.2023):
+- [GitHub](https://github.com/1adrianb/face-alignment) (π¨βπ» 26 Β· π 1.3K Β· π¦ 13 Β· π 310 - 24% open Β· β±οΈ 16.08.2023):
```
git clone https://github.com/1adrianb/face-alignment
```
-- [PyPi](https://pypi.org/project/face-alignment) (π₯ 56K / month):
+- [PyPi](https://pypi.org/project/face-alignment) (π₯ 56K / month Β· π¦ 10 Β· β±οΈ 17.08.2023):
```
pip install face-alignment
```
doctr (π₯29 Β· β 2.1K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
-- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 36 Β· π 270 Β· π₯ 1.8M Β· π¦ 180 Β· π 260 - 16% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 36 Β· π 270 Β· π₯ 1.8M Β· π¦ 180 Β· π 260 - 15% open Β· β±οΈ 01.09.2023):
```
git clone https://github.com/mindee/doctr
@@ -2642,12 +2653,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
GluonCV (π₯28 Β· β 5.6K Β· π€) - Gluon CV Toolkit. Apache-2
-- [GitHub](https://github.com/dmlc/gluon-cv) (π¨βπ» 120 Β· π 1.2K Β· π¦ 11 Β· π 840 - 7% open Β· β±οΈ 19.01.2023):
+- [GitHub](https://github.com/dmlc/gluon-cv) (π¨βπ» 120 Β· π 1.2K Β· π¦ 13 Β· π 840 - 7% open Β· β±οΈ 19.01.2023):
```
git clone https://github.com/dmlc/gluon-cv
```
-- [PyPi](https://pypi.org/project/gluoncv) (π₯ 37K / month Β· π¦ 61 Β· β±οΈ 07.07.2022):
+- [PyPi](https://pypi.org/project/gluoncv) (π₯ 43K / month Β· π¦ 61 Β· β±οΈ 07.07.2022):
```
pip install gluoncv
```
@@ -2659,7 +2670,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/timesler/facenet-pytorch
```
-- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 29K / month Β· π¦ 19 Β· β±οΈ 10.03.2021):
+- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 27K / month Β· π¦ 19 Β· β±οΈ 10.03.2021):
```
pip install facenet-pytorch
```
@@ -2671,7 +2682,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/obss/sahi
```
-- [PyPi](https://pypi.org/project/sahi) (π₯ 82K / month Β· π¦ 9 Β· β±οΈ 25.06.2022):
+- [PyPi](https://pypi.org/project/sahi) (π₯ 85K / month Β· π¦ 9 Β· β±οΈ 25.06.2022):
```
pip install sahi
```
@@ -2682,38 +2693,26 @@ _Libraries for image & video processing, manipulation, and augmentation as well
vidgear (π₯28 Β· β 2.9K) - A High-performance cross-platform Video Processing Python framework.. Apache-2
-- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 13 Β· π 230 Β· π₯ 920 Β· π¦ 440 Β· π 260 - 2% open Β· β±οΈ 22.07.2023):
+- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 13 Β· π 230 Β· π₯ 920 Β· π¦ 440 Β· π 270 - 1% open Β· β±οΈ 22.07.2023):
```
git clone https://github.com/abhiTronix/vidgear
```
-- [PyPi](https://pypi.org/project/vidgear) (π₯ 36K / month Β· π¦ 7 Β· β±οΈ 22.07.2023):
+- [PyPi](https://pypi.org/project/vidgear) (π₯ 34K / month Β· π¦ 7 Β· β±οΈ 22.07.2023):
```
pip install vidgear
```
Augmentor (π₯27 Β· β 4.9K) - Image augmentation library in Python for machine learning. MIT
-
-- [GitHub](https://github.com/mdbloice/Augmentor) (π¨βπ» 23 Β· π 870 Β· π¦ 640 Β· π 210 - 64% open Β· β±οΈ 29.03.2023):
-
- ```
- git clone https://github.com/mdbloice/Augmentor
- ```
-- [PyPi](https://pypi.org/project/Augmentor) (π₯ 9.9K / month Β· π¦ 29 Β· β±οΈ 27.04.2022):
- ```
- pip install Augmentor
- ```
-layout-parser (π₯27 Β· β 3.9K Β· π€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2
+CellProfiler (π₯28 Β· β 790) - An open-source application for biological image analysis. BSD-3
-- [GitHub](https://github.com/Layout-Parser/layout-parser) (π¨βπ» 8 Β· π 380 Β· π¦ 500 Β· π 140 - 61% open Β· β±οΈ 06.08.2022):
+- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 140 Β· π 360 Β· π₯ 5.6K Β· π¦ 20 Β· π 3.2K - 8% open Β· β±οΈ 07.09.2023):
```
- git clone https://github.com/Layout-Parser/layout-parser
+ git clone https://github.com/CellProfiler/CellProfiler
```
-- [PyPi](https://pypi.org/project/layoutparser) (π₯ 81K / month Β· π¦ 4 Β· β±οΈ 06.04.2022):
+- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 920 / month Β· π¦ 1 Β· β±οΈ 14.08.2023):
```
- pip install layoutparser
+ pip install cellprofiler
```
mahotas (π₯27 Β· β 810) - Computer Vision in Python. MIT
@@ -2723,7 +2722,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/luispedro/mahotas
```
-- [PyPi](https://pypi.org/project/mahotas) (π₯ 8.4K / month Β· π¦ 130 Β· β±οΈ 28.06.2022):
+- [PyPi](https://pypi.org/project/mahotas) (π₯ 8K / month Β· π¦ 130 Β· β±οΈ 28.06.2022):
```
pip install mahotas
```
@@ -2732,16 +2731,16 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge mahotas
```
CellProfiler (π₯27 Β· β 790) - An open-source application for biological image analysis. BSD-3
+Augmentor (π₯26 Β· β 4.9K) - Image augmentation library in Python for machine learning. MIT
-- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 140 Β· π 360 Β· π₯ 5.6K Β· π¦ 20 Β· π 3.2K - 8% open Β· β±οΈ 08.08.2023):
+- [GitHub](https://github.com/mdbloice/Augmentor) (π¨βπ» 23 Β· π 870 Β· π¦ 640 Β· π 210 - 64% open Β· β±οΈ 29.03.2023):
```
- git clone https://github.com/CellProfiler/CellProfiler
+ git clone https://github.com/mdbloice/Augmentor
```
-- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 980 / month Β· π¦ 1 Β· β±οΈ 14.08.2023):
+- [PyPi](https://pypi.org/project/Augmentor) (π₯ 9.5K / month Β· π¦ 29 Β· β±οΈ 27.04.2022):
```
- pip install cellprofiler
+ pip install Augmentor
```
Image Deduplicator (π₯25 Β· β 4.7K) - Finding duplicate images made easy!. Apache-2
@@ -2758,12 +2757,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pytorchvideo (π₯25 Β· β 3K) - A deep learning library for video understanding research. Apache-2
-- [GitHub](https://github.com/facebookresearch/pytorchvideo) (π¨βπ» 54 Β· π 350 Β· π 190 - 46% open Β· β±οΈ 26.08.2023):
+- [GitHub](https://github.com/facebookresearch/pytorchvideo) (π¨βπ» 54 Β· π 360 Β· π 170 - 40% open Β· β±οΈ 26.08.2023):
```
git clone https://github.com/facebookresearch/pytorchvideo
```
-- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 56K / month Β· π¦ 7 Β· β±οΈ 20.01.2022):
+- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 130K / month):
```
pip install pytorchvideo
```
@@ -2775,23 +2774,11 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/tryolabs/norfair
```
-- [PyPi](https://pypi.org/project/norfair) (π₯ 6.6K / month Β· π¦ 3 Β· β±οΈ 30.05.2022):
+- [PyPi](https://pypi.org/project/norfair) (π₯ 6.5K / month Β· π¦ 3 Β· β±οΈ 30.05.2022):
```
pip install norfair
```
ffcv (π₯24 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¦ 28 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₯ 850 / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
- ```
- pip install ffcv
- ```
-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» 120 Β· π 880 Β· π¦ 14 Β· π 780 - 30% open Β· β±οΈ 11.07.2023):
@@ -2799,23 +2786,35 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/facebookresearch/mmf
```
-- [PyPi](https://pypi.org/project/mmf) (π₯ 340 / month Β· π¦ 1 Β· β±οΈ 12.06.2020):
+- [PyPi](https://pypi.org/project/mmf) (π₯ 270 / month Β· π¦ 1 Β· β±οΈ 12.06.2020):
```
pip install mmf
```
vissl (π₯23 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¦ 24 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¦ 26 Β· π 170 - 37% open Β· β±οΈ 25.08.2023):
```
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₯ 300 / month):
```
pip install vissl
```
ffcv (π₯23 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¦ 28 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₯ 810 / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
+ ```
+ pip install ffcv
+ ```
+kubric (π₯23 Β· β 2K) - A data generation pipeline for creating semi-realistic synthetic multi-.. Apache-2
- [GitHub](https://github.com/google-research/kubric) (π¨βπ» 23 Β· π 170 Β· π¦ 3 Β· π 180 - 30% open Β· β±οΈ 16.08.2023):
@@ -2823,95 +2822,95 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/google-research/kubric
```
-- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 6.6K / month Β· β±οΈ 31.08.2023):
+- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 5.2K / month Β· β±οΈ 07.09.2023):
```
pip install kubric-nightly
```
Classy Vision (π₯23 Β· β 1.6K) - An end-to-end PyTorch framework for image and video.. MIT
+DEβ«ΆTR (π₯22 Β· β 12K Β· π€) - End-to-End Object Detection with Transformers. Apache-2
-- [GitHub](https://github.com/facebookresearch/ClassyVision) (π¨βπ» 77 Β· π 280 Β· π 77 - 16% open Β· β±οΈ 23.03.2023):
+- [GitHub](https://github.com/facebookresearch/detr) (π¨βπ» 26 Β· π 2K Β· π¦ 13 Β· π 510 - 43% open Β· β±οΈ 07.02.2023):
```
- git clone https://github.com/facebookresearch/ClassyVision
+ git clone https://github.com/facebookresearch/detr
```
-- [PyPi](https://pypi.org/project/classy_vision) (π₯ 2.6K / month):
+tensorflow-graphics (π₯22 Β· β 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
+
+- [GitHub](https://github.com/tensorflow/graphics) (π¨βπ» 39 Β· π 360 Β· π 240 - 61% open Β· β±οΈ 08.08.2023):
+
```
- pip install classy_vision
+ git clone https://github.com/tensorflow/graphics
```
-- [Conda](https://anaconda.org/conda-forge/classy_vision) (π₯ 18K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 3.7K / month Β· π¦ 8 Β· β±οΈ 03.12.2021):
```
- conda install -c conda-forge classy_vision
+ pip install tensorflow-graphics
```
icevision (π₯23 Β· β 830 Β· π€) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2
+pycls (π₯22 Β· β 2.1K) - Codebase for Image Classification Research, written in PyTorch. 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/facebookresearch/pycls) (π¨βπ» 19 Β· π 230 Β· π¦ 14 Β· π 80 - 30% open Β· β±οΈ 26.08.2023):
```
- git clone https://github.com/airctic/icevision
+ git clone https://github.com/facebookresearch/pycls
```
-- [PyPi](https://pypi.org/project/icevision) (π₯ 5.7K / month Β· π¦ 6 Β· β±οΈ 10.02.2022):
+- [PyPi](https://pypi.org/project/pycls) (π₯ 200K / month):
```
- pip install icevision
+ pip install pycls
```
pyvips (π₯23 Β· β 540) - python binding for libvips using cffi. MIT
+Classy Vision (π₯22 Β· β 1.6K) - An end-to-end PyTorch framework for image and video.. MIT
-- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 47 Β· π¦ 580 Β· π 370 - 40% open Β· β±οΈ 30.06.2023):
+- [GitHub](https://github.com/facebookresearch/ClassyVision) (π¨βπ» 77 Β· π 280 Β· π 120 - 45% open Β· β±οΈ 23.03.2023):
```
- git clone https://github.com/libvips/pyvips
- ```
-- [PyPi](https://pypi.org/project/pyvips) (π₯ 54K / month Β· π¦ 46 Β· β±οΈ 12.06.2022):
- ```
- pip install pyvips
+ git clone https://github.com/facebookresearch/ClassyVision
```
-- [Conda](https://anaconda.org/conda-forge/pyvips) (π₯ 65K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/classy_vision) (π₯ 2.6K / month Β· π¦ 4 Β· β±οΈ 21.03.2023):
```
- conda install -c conda-forge pyvips
+ pip install classy_vision
```
-DEβ«ΆTR (π₯22 Β· β 12K) - End-to-End Object Detection with Transformers. Apache-2
-
-- [GitHub](https://github.com/facebookresearch/detr) (π¨βπ» 26 Β· π 2K Β· π¦ 11 Β· π 510 - 43% open Β· β±οΈ 07.02.2023):
-
+- [Conda](https://anaconda.org/conda-forge/classy_vision) (π₯ 18K Β· β±οΈ 16.06.2023):
```
- git clone https://github.com/facebookresearch/detr
+ conda install -c conda-forge classy_vision
```
tensorflow-graphics (π₯22 Β· β 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
+icevision (π₯22 Β· β 830 Β· π€) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2
-- [GitHub](https://github.com/tensorflow/graphics) (π¨βπ» 39 Β· π 360 Β· π 240 - 61% open Β· β±οΈ 08.08.2023):
+- [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/tensorflow/graphics
+ git clone https://github.com/airctic/icevision
```
-- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 3.5K / month Β· π¦ 8 Β· β±οΈ 03.12.2021):
+- [PyPi](https://pypi.org/project/icevision) (π₯ 5.9K / month Β· π¦ 6 Β· β±οΈ 10.02.2022):
```
- pip install tensorflow-graphics
+ pip install icevision
```
pycls (π₯22 Β· β 2.1K) - Codebase for Image Classification Research, written in PyTorch. MIT
+pyvips (π₯22 Β· β 540) - python binding for libvips using cffi. MIT
-- [GitHub](https://github.com/facebookresearch/pycls) (π¨βπ» 19 Β· π 230 Β· π¦ 14 Β· π 80 - 30% open Β· β±οΈ 26.08.2023):
+- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 47 Β· π¦ 580 Β· π 370 - 40% open Β· β±οΈ 30.06.2023):
```
- git clone https://github.com/facebookresearch/pycls
+ git clone https://github.com/libvips/pyvips
+ ```
+- [PyPi](https://pypi.org/project/pyvips) (π₯ 54K / month Β· π¦ 46 Β· β±οΈ 12.06.2022):
+ ```
+ pip install pyvips
```
-- [PyPi](https://pypi.org/project/pycls) (π₯ 190K / month):
+- [Conda](https://anaconda.org/conda-forge/pyvips) (π₯ 66K Β· β±οΈ 16.06.2023):
```
- pip install pycls
+ conda install -c conda-forge pyvips
```
PySlowFast (π₯20 Β· β 5.8K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
+PySlowFast (π₯20 Β· β 5.9K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
-- [GitHub](https://github.com/facebookresearch/SlowFast) (π¨βπ» 31 Β· π 1.1K Β· π¦ 14 Β· π 620 - 55% open Β· β±οΈ 26.08.2023):
+- [GitHub](https://github.com/facebookresearch/SlowFast) (π¨βπ» 31 Β· π 1.1K Β· π¦ 14 Β· π 630 - 56% open Β· β±οΈ 26.08.2023):
```
git clone https://github.com/facebookresearch/SlowFast
```
-- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 7 / month):
+- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 8 / month):
```
pip install pyslowfast
```
@@ -2923,32 +2922,33 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/ProvenanceLabs/image-match
```
-- [PyPi](https://pypi.org/project/image_match) (π₯ 840 / month Β· π¦ 4 Β· β±οΈ 13.02.2017):
+- [PyPi](https://pypi.org/project/image_match) (π₯ 800 / month Β· π¦ 4 Β· β±οΈ 13.02.2017):
```
pip install image_match
```
scenic (π₯18 Β· β 2.4K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
+scenic (π₯18 Β· β 2.5K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
-- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 67 Β· π 340 Β· π 220 - 66% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 67 Β· π 340 Β· π 220 - 66% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/google-research/scenic
```
Show 20 hidden projects...
+Show 21 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
-- Face Recognition (π₯32 Β· β 49K Β· π) - The worlds simplest facial recognition api for Python.. MIT βUnlicensed βUnlicensed MIT βUnlicensed MIT
-- mtcnn (π₯27 Β· β 2K Β· π) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT MIT
+- layout-parser (π₯27 Β· β 3.9K Β· π) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2
- chainercv (π₯27 Β· β 1.5K Β· π) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT
+- mtcnn (π₯26 Β· β 2K Β· π) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT MIT βοΈPIL
+- Pillow-SIMD (π₯24 Β· β 2K) - The friendly PIL fork. βοΈPIL
- deep-daze (π₯22 Β· β 4.4K Β· π) - Simple command line tool for text to image generation using.. MIT
- Image Super-Resolution (π₯22 Β· β 4.3K Β· π) - Super-scale your images and run experiments with.. Apache-2 BSD-3 MIT
- Caer (π₯17 Β· β 710 Β· π) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT
- 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₯14 Β· β 160 Β· π) - Pytorch framework for doing deep learning on point.. BSD-3 BSD-3
@@ -2969,7 +2969,7 @@ _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» 670 Β· π 3K Β· π₯ 65 Β· π¦ 180K Β· π 3.2K - 12% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 670 Β· π 3K Β· π₯ 65 Β· π¦ 180K Β· π 3.2K - 12% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/networkx/networkx
@@ -2983,26 +2983,26 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
conda install -c conda-forge networkx
```
dgl (π₯39 Β· β 12K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2
+dgl (π₯38 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» 270 Β· π 2.9K Β· π¦ 140 Β· π 2.4K - 17% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/dmlc/dgl) (π¨βπ» 280 Β· π 2.8K Β· π¦ 140 Β· π 2.4K - 13% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/dmlc/dgl
```
-- [PyPi](https://pypi.org/project/dgl) (π₯ 130K / month Β· π¦ 76 Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/dgl) (π₯ 120K / month):
```
pip install dgl
```
PyTorch Geometric (π₯38 Β· β 18K Β· π) - Graph Neural Network Library for PyTorch. MIT
+PyTorch Geometric (π₯34 Β· β 18K Β· π) - Graph Neural Network Library for PyTorch. MIT
-- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 430 Β· π 3.3K Β· π 3.3K - 25% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 440 Β· π 3.3K Β· π 3.2K - 22% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/pyg-team/pytorch_geometric
```
-- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 230K / month Β· π¦ 100 Β· β±οΈ 27.04.2023):
+- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 240K / month):
```
pip install torch-geometric
```
@@ -3013,12 +3013,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
ogb (π₯29 Β· β 1.7K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
-- [GitHub](https://github.com/snap-stanford/ogb) (π¨βπ» 32 Β· π 400 Β· π¦ 1K Β· π 280 - 6% open Β· β±οΈ 10.06.2023):
+- [GitHub](https://github.com/snap-stanford/ogb) (π¨βπ» 32 Β· π 390 Β· π¦ 1K Β· π 270 - 1% open Β· β±οΈ 10.06.2023):
```
git clone https://github.com/snap-stanford/ogb
```
-- [PyPi](https://pypi.org/project/ogb) (π₯ 34K / month Β· π¦ 22 Β· β±οΈ 02.11.2022):
+- [PyPi](https://pypi.org/project/ogb) (π₯ 39K / month):
```
pip install ogb
```
@@ -3027,50 +3027,50 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
conda install -c conda-forge ogb
```
Spektral (π₯28 Β· β 2.3K) - Graph Neural Networks with Keras and Tensorflow 2. MIT
+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 330 Β· π¦ 230 Β· π 260 - 23% open Β· β±οΈ 01.06.2023):
```
git clone https://github.com/danielegrattarola/spektral
```
-- [PyPi](https://pypi.org/project/spektral) (π₯ 5.9K / month Β· π¦ 6 Β· β±οΈ 01.06.2023):
+- [PyPi](https://pypi.org/project/spektral) (π₯ 5.8K / month):
```
pip install spektral
```
pygraphistry (π₯28 Β· β 1.9K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3
+AmpliGraph (π₯27 Β· β 2K) - Python library for Representation Learning on Knowledge.. Apache-2
-- [GitHub](https://github.com/graphistry/pygraphistry) (π¨βπ» 38 Β· π 200 Β· π¦ 96 Β· π 290 - 49% open Β· β±οΈ 23.08.2023):
+- [GitHub](https://github.com/Accenture/AmpliGraph) (π¨βπ» 20 Β· π 230 Β· π¦ 43 Β· π 220 - 13% open Β· β±οΈ 12.07.2023):
```
- git clone https://github.com/graphistry/pygraphistry
+ git clone https://github.com/Accenture/AmpliGraph
```
-- [PyPi](https://pypi.org/project/graphistry) (π₯ 2K / month Β· π¦ 5 Β· β±οΈ 23.08.2023):
+- [PyPi](https://pypi.org/project/ampligraph) (π₯ 570 / month):
```
- pip install graphistry
+ pip install ampligraph
```
AmpliGraph (π₯27 Β· β 2K) - Python library for Representation Learning on Knowledge.. Apache-2
+pygraphistry (π₯27 Β· β 1.9K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3
-- [GitHub](https://github.com/Accenture/AmpliGraph) (π¨βπ» 20 Β· π 240 Β· π¦ 43 Β· π 220 - 14% open Β· β±οΈ 12.07.2023):
+- [GitHub](https://github.com/graphistry/pygraphistry) (π¨βπ» 38 Β· π 190 Β· π¦ 96 Β· π 280 - 48% open Β· β±οΈ 07.09.2023):
```
- git clone https://github.com/Accenture/AmpliGraph
+ git clone https://github.com/graphistry/pygraphistry
```
-- [PyPi](https://pypi.org/project/ampligraph) (π₯ 490 / month Β· β±οΈ 25.05.2021):
+- [PyPi](https://pypi.org/project/graphistry) (π₯ 2K / month):
```
- pip install ampligraph
+ pip install graphistry
```
Paddle Graph Learning (π₯27 Β· β 1.5K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2
+Paddle Graph Learning (π₯26 Β· β 1.5K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2
- [GitHub](https://github.com/PaddlePaddle/PGL) (π¨βπ» 31 Β· π 300 Β· π¦ 45 Β· π 200 - 40% open Β· β±οΈ 04.08.2023):
```
git clone https://github.com/PaddlePaddle/PGL
```
-- [PyPi](https://pypi.org/project/pgl) (π₯ 1.2K / month Β· π¦ 2 Β· β±οΈ 03.08.2022):
+- [PyPi](https://pypi.org/project/pgl) (π₯ 570 / month Β· π¦ 2 Β· β±οΈ 03.08.2022):
```
pip install pgl
```
@@ -3082,43 +3082,31 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
```
-- [PyPi](https://pypi.org/project/torch-geometric-temporal) (π₯ 1.9K / month Β· π¦ 4 Β· β±οΈ 04.09.2022):
+- [PyPi](https://pypi.org/project/torch-geometric-temporal) (π₯ 2K / month Β· π¦ 4 Β· β±οΈ 04.09.2022):
```
pip install torch-geometric-temporal
```
PyKEEN (π₯25 Β· β 1.3K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
+PyKEEN (π₯24 Β· β 1.3K) - 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 530 - 20% open Β· β±οΈ 24.08.2023):
+- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 36 Β· π 170 Β· π₯ 180 Β· π 510 - 17% open Β· β±οΈ 24.08.2023):
```
git clone https://github.com/pykeen/pykeen
```
-- [PyPi](https://pypi.org/project/pykeen) (π₯ 4K / month Β· π¦ 5 Β· β±οΈ 22.02.2023):
+- [PyPi](https://pypi.org/project/pykeen) (π₯ 3.8K / month):
```
pip install pykeen
```
PyTorch-BigGraph (π₯24 Β· β 3.3K) - Generate embeddings from large-scale graph-structured.. BSD-3
-
-- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (π¨βπ» 30 Β· π 430 Β· π₯ 160 Β· π 190 - 28% open Β· β±οΈ 25.08.2023):
-
- ```
- git clone https://github.com/facebookresearch/PyTorch-BigGraph
- ```
-- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 340K / month Β· π¦ 3 Β· β±οΈ 01.05.2019):
- ```
- 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 230 Β· π¦ 450 Β· π 90 - 3% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 12 Β· π 220 Β· π¦ 460 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₯ 80K / month Β· π¦ 18 Β· β±οΈ 01.08.2022):
+- [PyPi](https://pypi.org/project/node2vec) (π₯ 71K / month):
```
pip install node2vec
```
@@ -3127,70 +3115,38 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
conda install -c conda-forge node2vec
```
graph-nets (π₯22 Β· β 5.3K Β· π€) - Build Graph Nets in Tensorflow. Apache-2
-
-- [GitHub](https://github.com/deepmind/graph_nets) (π¨βπ» 11 Β· π 780 Β· π¦ 11 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₯ 1.4K / month Β· π¦ 8 Β· β±οΈ 29.01.2020):
- ```
- pip install graph-nets
- ```
-torch-cluster (π₯22 Β· β 680) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
-
-- [GitHub](https://github.com/rusty1s/pytorch_cluster) (π¨βπ» 31 Β· π 120 Β· π 140 - 19% open Β· β±οΈ 05.06.2023):
-
- ```
- git clone https://github.com/rusty1s/pytorch_cluster
- ```
-- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 11K / month Β· π¦ 37 Β· β±οΈ 11.03.2022):
- ```
- pip install torch-cluster
- ```
-- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (π₯ 78K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge pytorch_cluster
- ```
-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/graph4ai/graph4nlp) (π¨βπ» 27 Β· π 190 Β· π 170 - 6% open Β· β±οΈ 13.11.2022):
+- [GitHub](https://github.com/graph4ai/graph4nlp) (π¨βπ» 27 Β· π 190 Β· π 170 - 3% open Β· β±οΈ 13.11.2022):
```
git clone https://github.com/graph4ai/graph4nlp
```
-- [PyPi](https://pypi.org/project/graph4nlp) (π₯ 38 / month Β· β±οΈ 20.01.2022):
+- [PyPi](https://pypi.org/project/graph4nlp) (π₯ 69 / month):
```
pip install graph4nlp
```
jraph (π₯21 Β· β 1.2K Β· π€) - A Graph Neural Network Library in Jax. Apache-2
+graph-nets (π₯20 Β· β 5.3K Β· π€) - Build Graph Nets in Tensorflow. Apache-2
-- [GitHub](https://github.com/deepmind/jraph) (π¨βπ» 17 Β· π 77 Β· π¦ 93 Β· π 38 - 31% open Β· β±οΈ 31.08.2022):
+- [GitHub](https://github.com/deepmind/graph_nets) (π¨βπ» 11 Β· π 770 Β· π¦ 13 Β· π 130 - 5% open Β· β±οΈ 12.12.2022):
```
- git clone https://github.com/deepmind/jraph
- ```
-- [PyPi](https://pypi.org/project/jraph) (π₯ 7.1K / month Β· π¦ 6 Β· β±οΈ 12.08.2022):
- ```
- pip install jraph
+ git clone https://github.com/deepmind/graph_nets
```
-- [Conda](https://anaconda.org/conda-forge/jraph) (π₯ 3.4K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/graph-nets) (π₯ 1.2K / month):
```
- conda install -c conda-forge jraph
+ pip install graph-nets
```
deepsnap (π₯20 Β· β 500) - 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¦ 63 Β· π 44 - 45% open Β· β±οΈ 27.03.2023):
+- [GitHub](https://github.com/snap-stanford/deepsnap) (π¨βπ» 17 Β· π 50 Β· π₯ 10 Β· π¦ 63 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₯ 500 / month Β· π¦ 1 Β· β±οΈ 05.09.2021):
+- [PyPi](https://pypi.org/project/deepsnap) (π₯ 460 / month Β· π¦ 1 Β· β±οΈ 05.09.2021):
```
pip install deepsnap
```
@@ -3202,34 +3158,42 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/snap-stanford/GraphGym
```
-- [PyPi](https://pypi.org/project/graphgym) (π₯ 46 / month Β· β±οΈ 24.03.2022):
+- [PyPi](https://pypi.org/project/graphgym) (π₯ 54 / month Β· β±οΈ 24.03.2022):
```
pip install graphgym
```
kglib (π₯16 Β· β 540 Β· π€) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2
+torch-cluster (π₯19 Β· β 680) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
-- [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):
+- [GitHub](https://github.com/rusty1s/pytorch_cluster) (π¨βπ» 31 Β· π 120 Β· π 140 - 15% open Β· β±οΈ 05.06.2023):
```
- git clone https://github.com/vaticle/kglib
+ git clone https://github.com/rusty1s/pytorch_cluster
```
-- [PyPi](https://pypi.org/project/grakn-kglib) (π₯ 66 / month Β· β±οΈ 19.08.2020):
+- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 11K / month):
```
- pip install grakn-kglib
+ pip install torch-cluster
+ ```
+- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (π₯ 78K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge pytorch_cluster
```
OpenKE (π₯15 Β· β 3.5K Β· π€) - An Open-Source Package for Knowledge Embedding (KE). MIT
+kglib (π₯16 Β· β 540 Β· π€) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2
-- [GitHub](https://github.com/thunlp/OpenKE) (π¨βπ» 11 Β· π 950 Β· π 370 - 4% open Β· β±οΈ 03.11.2022):
+- [GitHub](https://github.com/vaticle/typedb-ml) (π¨βπ» 11 Β· π 94 Β· π₯ 220 Β· π 62 - 17% open Β· β±οΈ 09.11.2022):
```
- git clone https://github.com/thunlp/OpenKE
+ git clone https://github.com/vaticle/kglib
+ ```
+- [PyPi](https://pypi.org/project/grakn-kglib) (π₯ 78 / month):
+ ```
+ pip install grakn-kglib
```
OpenNE (π₯15 Β· β 1.6K 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 - 4% open Β· β±οΈ 02.11.2022):
+- [GitHub](https://github.com/thunlp/OpenNE) (π¨βπ» 11 Β· π 480 Β· π 100 - 3% open Β· β±οΈ 02.11.2022):
```
git clone https://github.com/thunlp/OpenNE
@@ -3242,27 +3206,30 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/THUMNLab/AutoGL
```
-- [PyPi](https://pypi.org/project/auto-graph-learning) (π₯ 1 / month Β· β±οΈ 23.12.2020):
+- [PyPi](https://pypi.org/project/auto-graph-learning) (π₯ 2 / month Β· β±οΈ 23.12.2020):
```
pip install auto-graph-learning
```
Show 14 hidden projects...
+Show 17 hidden projects...
-- igraph (π₯33 Β· β 1.1K) - Python interface for igraph. βοΈGPL-2.0
-- StellarGraph (π₯29 Β· β 2.8K Β· π) - StellarGraph - Machine Learning on Graphs. Apache-2 βοΈLGPL-3.0
-- DIG (π₯24 Β· β 1.6K) - A library for graph deep learning research. βοΈGPL-3.0
+- igraph (π₯33 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
+- DIG (π₯23 Β· β 1.6K) - A library for graph deep learning research. βοΈGPL-3.0
- Karate Club (π₯22 Β· β 2K) - Karate Club: An API Oriented Open-source Python Framework for.. βοΈGPL-3.0
-- DeepWalk (π₯21 Β· β 2.6K Β· π) - DeepWalk - Deep Learning for Graphs. βοΈGPL-3.0
+- PyTorch-BigGraph (π₯21 Β· β 3.3K) - Generate embeddings from large-scale graph-structured.. βUnlicensed Apache-2 MIT
- Sematch (π₯19 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 βUnlicensed
- GraphEmbedding (π₯16 Β· β 3.4K Β· π) - Implementation and experiments of graph embedding.. MIT Apache-2 Apache-2 βUnlicensed MIT Apache-2
- ptgnn (π₯14 Β· β 370 Β· π) - A PyTorch Graph Neural Network Library. MIT βUnlicensed
+- GraphVite (π₯13 Β· β 1.1K Β· π) - GraphVite: A General and High-performance Graph Embedding.. Apache-2
@@ -3272,104 +3239,104 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
_Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._
-espnet (π₯38 Β· β 6.9K) - End-to-End Speech Processing Toolkit. Apache-2
+espnet (π₯38 Β· β 7K) - End-to-End Speech Processing Toolkit. Apache-2
-- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 370 Β· π 2K Β· π₯ 79 Β· π¦ 220 Β· π 2.2K - 9% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 370 Β· π 1.9K Β· π₯ 79 Β· π¦ 230 Β· π 2.2K - 7% open Β· β±οΈ 30.08.2023):
```
git clone https://github.com/espnet/espnet
```
-- [PyPi](https://pypi.org/project/espnet) (π₯ 30K / month Β· π¦ 5 Β· β±οΈ 03.08.2023):
+- [PyPi](https://pypi.org/project/espnet) (π₯ 31K / month):
```
pip install espnet
```
speechbrain (π₯38 Β· β 6.5K) - A PyTorch-based Speech Toolkit. Apache-2
-- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 220 Β· π 1.1K Β· π¦ 910 Β· π 990 - 17% open Β· β±οΈ 18.08.2023):
+- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 220 Β· π 1.1K Β· π¦ 930 Β· π 940 - 9% open Β· β±οΈ 18.08.2023):
```
git clone https://github.com/speechbrain/speechbrain
```
-- [PyPi](https://pypi.org/project/speechbrain) (π₯ 160K / month Β· π¦ 14 Β· β±οΈ 22.07.2023):
+- [PyPi](https://pypi.org/project/speechbrain) (π₯ 160K / month):
```
pip install speechbrain
```
torchaudio (π₯35 Β· β 2.2K) - Data manipulation and transformation for audio signal.. BSD-2
-- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 220 Β· π 600 Β· π 870 - 22% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 220 Β· π 600 Β· π 880 - 22% open Β· β±οΈ 05.09.2023):
```
git clone https://github.com/pytorch/audio
```
-- [PyPi](https://pypi.org/project/torchaudio) (π₯ 1.2M / month Β· π¦ 400 Β· β±οΈ 08.05.2023):
+- [PyPi](https://pypi.org/project/torchaudio) (π₯ 1.4M / month Β· π¦ 400 Β· β±οΈ 08.05.2023):
```
pip install torchaudio
```
Coqui TTS (π₯34 Β· β 15K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
+Pydub (π₯33 Β· β 7.6K Β· π€) - Manipulate audio with a simple and easy high level interface. MIT
-- [GitHub](https://github.com/coqui-ai/TTS) (π¨βπ» 140 Β· π 1.9K Β· π₯ 1.3M Β· π 680 - 5% open Β· β±οΈ 28.08.2023):
+- [GitHub](https://github.com/jiaaro/pydub) (π¨βπ» 95 Β· π 960 Β· π¦ 38K Β· π 590 - 54% open Β· β±οΈ 08.12.2022):
```
- git clone https://github.com/coqui-ai/TTS
+ git clone https://github.com/jiaaro/pydub
```
-- [PyPi](https://pypi.org/project/tts) (π₯ 36K / month Β· π¦ 16 Β· β±οΈ 26.08.2023):
+- [PyPi](https://pypi.org/project/pydub) (π₯ 3.2M / month Β· π¦ 1.1K Β· β±οΈ 10.03.2021):
```
- pip install tts
+ pip install pydub
```
-- [Conda](https://anaconda.org/conda-forge/tts) (π₯ 9.5K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pydub) (π₯ 64K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge tts
+ conda install -c conda-forge pydub
```
Pydub (π₯33 Β· β 7.6K Β· π€) - Manipulate audio with a simple and easy high level interface. MIT
+librosa (π₯33 Β· β 6.2K) - Python library for audio and music analysis. ISC
-- [GitHub](https://github.com/jiaaro/pydub) (π¨βπ» 95 Β· π 960 Β· π¦ 37K Β· π 590 - 54% open Β· β±οΈ 08.12.2022):
+- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 120 Β· π 900 Β· π 1.1K - 4% open Β· β±οΈ 15.08.2023):
```
- git clone https://github.com/jiaaro/pydub
+ git clone https://github.com/librosa/librosa
```
-- [PyPi](https://pypi.org/project/pydub) (π₯ 3.2M / month Β· π¦ 1.1K Β· β±οΈ 10.03.2021):
+- [PyPi](https://pypi.org/project/librosa) (π₯ 2.4M / month Β· π¦ 1.4K Β· β±οΈ 16.08.2023):
```
- pip install pydub
+ pip install librosa
```
-- [Conda](https://anaconda.org/conda-forge/pydub) (π₯ 63K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 690K Β· β±οΈ 16.08.2023):
```
- conda install -c conda-forge pydub
+ conda install -c conda-forge librosa
```
SpeechRecognition (π₯33 Β· β 7.5K) - Speech recognition module for Python, supporting several.. BSD-3
+Coqui TTS (π₯32 Β· β 15K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
-- [GitHub](https://github.com/Uberi/speech_recognition) (π¨βπ» 49 Β· π 2.3K Β· π¦ 11 Β· π 600 - 49% open Β· β±οΈ 13.03.2023):
+- [GitHub](https://github.com/coqui-ai/TTS) (π¨βπ» 140 Β· π 1.9K Β· π₯ 1.3M Β· π 680 - 3% open Β· β±οΈ 04.09.2023):
```
- git clone https://github.com/Uberi/speech_recognition
+ git clone https://github.com/coqui-ai/TTS
```
-- [PyPi](https://pypi.org/project/SpeechRecognition) (π₯ 450K / month Β· π¦ 790 Β· β±οΈ 04.12.2022):
+- [PyPi](https://pypi.org/project/tts) (π₯ 49K / month):
```
- pip install SpeechRecognition
+ pip install tts
```
-- [Conda](https://anaconda.org/conda-forge/speechrecognition) (π₯ 170K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/tts) (π₯ 9.6K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge speechrecognition
+ conda install -c conda-forge tts
```
librosa (π₯33 Β· β 6.2K) - Python library for audio and music analysis. ISC
+SpeechRecognition (π₯32 Β· β 7.5K) - Speech recognition module for Python, supporting several.. BSD-3
-- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 120 Β· π 900 Β· π 1.1K - 4% open Β· β±οΈ 15.08.2023):
+- [GitHub](https://github.com/Uberi/speech_recognition) (π¨βπ» 49 Β· π 2.3K Β· π¦ 13 Β· π 600 - 49% open Β· β±οΈ 13.03.2023):
```
- git clone https://github.com/librosa/librosa
+ git clone https://github.com/Uberi/speech_recognition
```
-- [PyPi](https://pypi.org/project/librosa) (π₯ 2.3M / month Β· π¦ 1.4K Β· β±οΈ 16.08.2023):
+- [PyPi](https://pypi.org/project/SpeechRecognition) (π₯ 450K / month Β· π¦ 800 Β· β±οΈ 04.12.2022):
```
- pip install librosa
+ pip install SpeechRecognition
```
-- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 680K Β· β±οΈ 16.08.2023):
+- [Conda](https://anaconda.org/conda-forge/speechrecognition) (π₯ 170K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge librosa
+ conda install -c conda-forge speechrecognition
```
spleeter (π₯31 Β· β 23K) - Deezer source separation library including pretrained models. MIT
@@ -3395,19 +3362,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/magenta/magenta
```
-- [PyPi](https://pypi.org/project/magenta) (π₯ 2.9K / month Β· π¦ 38 Β· β±οΈ 31.07.2018):
+- [PyPi](https://pypi.org/project/magenta) (π₯ 2.6K / month Β· π¦ 38 Β· β±οΈ 31.07.2018):
```
pip install magenta
```
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¦ 330 Β· π 170 - 27% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 24 Β· π 170 Β· π¦ 330 Β· π 160 - 25% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/iver56/audiomentations
```
-- [PyPi](https://pypi.org/project/audiomentations) (π₯ 20K / month Β· π¦ 5 Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/audiomentations) (π₯ 20K / month):
```
pip install audiomentations
```
@@ -3419,59 +3386,75 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/Picovoice/Porcupine
```
-- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 3.8K / month Β· π¦ 11 Β· β±οΈ 28.06.2022):
+- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 3.7K / month Β· π¦ 11 Β· β±οΈ 28.06.2022):
```
pip install pvporcupine
```
audioread (π₯29 Β· β 450) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT
+pyAudioAnalysis (π₯28 Β· β 5.4K Β· π€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
-- [GitHub](https://github.com/beetbox/audioread) (π¨βπ» 24 Β· π 110 Β· π¦ 15K Β· π 89 - 40% open Β· β±οΈ 17.08.2023):
+- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 27 Β· π 1.2K Β· π¦ 380 Β· π 310 - 61% open Β· β±οΈ 18.09.2022):
```
- git clone https://github.com/beetbox/audioread
+ git clone https://github.com/tyiannak/pyAudioAnalysis
```
-- [PyPi](https://pypi.org/project/audioread) (π₯ 1.2M / month Β· π¦ 360 Β· β±οΈ 12.08.2022):
+- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 16K / month Β· π¦ 19 Β· β±οΈ 07.02.2022):
```
- pip install audioread
+ pip install pyAudioAnalysis
```
-- [Conda](https://anaconda.org/conda-forge/audioread) (π₯ 700K Β· β±οΈ 16.06.2023):
+tinytag (π₯28 Β· β 620) - 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 100 Β· π¦ 840 Β· π 100 - 8% open Β· β±οΈ 15.08.2023):
+
```
- conda install -c conda-forge audioread
+ git clone https://github.com/devsnd/tinytag
+ ```
+- [PyPi](https://pypi.org/project/tinytag) (π₯ 17K / month Β· π¦ 110 Β· β±οΈ 12.03.2022):
+ ```
+ pip install tinytag
```
pyAudioAnalysis (π₯28 Β· β 5.4K Β· π€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
+audioread (π₯28 Β· β 450) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT
-- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 27 Β· π 1.2K Β· π¦ 380 Β· π 310 - 61% open Β· β±οΈ 18.09.2022):
+- [GitHub](https://github.com/beetbox/audioread) (π¨βπ» 24 Β· π 100 Β· π¦ 15K Β· π 85 - 37% open Β· β±οΈ 17.08.2023):
```
- git clone https://github.com/tyiannak/pyAudioAnalysis
+ git clone https://github.com/beetbox/audioread
```
-- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 19K / month Β· π¦ 19 Β· β±οΈ 07.02.2022):
+- [PyPi](https://pypi.org/project/audioread) (π₯ 1.2M / month):
```
- pip install pyAudioAnalysis
+ pip install audioread
+ ```
+- [Conda](https://anaconda.org/conda-forge/audioread) (π₯ 700K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge audioread
```
tinytag (π₯28 Β· β 620) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT
+DeepSpeech (π₯24 Β· β 23K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0
-- [GitHub](https://github.com/devsnd/tinytag) (π¨βπ» 26 Β· π 100 Β· π¦ 840 Β· π 110 - 14% open Β· β±οΈ 15.08.2023):
+- [GitHub](https://github.com/mozilla/DeepSpeech) (π¨βπ» 140 Β· π 3.8K):
```
- git clone https://github.com/devsnd/tinytag
+ git clone https://github.com/mozilla/DeepSpeech
```
-- [PyPi](https://pypi.org/project/tinytag) (π₯ 17K / month Β· π¦ 110 Β· β±οΈ 12.03.2022):
+- [PyPi](https://pypi.org/project/deepspeech) (π₯ 13K / month Β· π¦ 43 Β· β±οΈ 19.12.2020):
```
- pip install tinytag
+ pip install deepspeech
+ ```
+- [Conda](https://anaconda.org/conda-forge/deepspeech) (π₯ 2.2K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge deepspeech
```
DDSP (π₯25 Β· β 2.6K) - DDSP: Differentiable Digital Signal Processing. Apache-2
+DDSP (π₯24 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¦ 42 Β· π 160 - 23% open Β· β±οΈ 30.06.2023):
```
git clone https://github.com/magenta/ddsp
```
-- [PyPi](https://pypi.org/project/ddsp) (π₯ 1.7K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
+- [PyPi](https://pypi.org/project/ddsp) (π₯ 1.8K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
```
pip install ddsp
```
@@ -3480,14 +3463,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
conda install -c conda-forge ddsp
```
python-soundfile (π₯25 Β· β 580) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
+python-soundfile (π₯22 Β· β 580) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 30 Β· π 93 Β· π₯ 16K Β· π 220 - 41% open Β· β±οΈ 24.03.2023):
```
git clone https://github.com/bastibe/python-soundfile
```
-- [PyPi](https://pypi.org/project/soundfile) (π₯ 1.5M / month Β· π¦ 170 Β· β±οΈ 15.02.2023):
+- [PyPi](https://pypi.org/project/soundfile) (π₯ 1.5M / month):
```
pip install soundfile
```
@@ -3496,49 +3479,33 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
conda install -c anaconda pysoundfile
```
DeepSpeech (π₯24 Β· β 23K Β· π) - DeepSpeech is an open source embedded (offline, on-.. 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₯ 17K / month Β· π¦ 43 Β· β±οΈ 19.12.2020):
- ```
- pip install deepspeech
- ```
-- [Conda](https://anaconda.org/conda-forge/deepspeech) (π₯ 2.2K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge deepspeech
- ```
-nnAudio (π₯20 Β· β 880) - Audio processing by using pytorch 1D convolution network. MIT
+nnAudio (π₯20 Β· β 890) - Audio processing by using pytorch 1D convolution network. MIT
-- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (π¨βπ» 14 Β· π 85 Β· π¦ 120 Β· π 59 - 28% open Β· β±οΈ 28.03.2023):
+- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (π¨βπ» 15 Β· π 86 Β· π¦ 120 Β· π 59 - 28% open Β· β±οΈ 04.09.2023):
```
git clone https://github.com/KinWaiCheuk/nnAudio
```
-- [PyPi](https://pypi.org/project/nnAudio) (π₯ 2.2K / month Β· π¦ 3 Β· β±οΈ 24.12.2021):
+- [PyPi](https://pypi.org/project/nnAudio) (π₯ 2.6K / month):
```
pip install nnAudio
```
Julius (π₯20 Β· β 360 Β· π€) - Fast PyTorch based DSP for audio and 1D signals. MIT
-- [GitHub](https://github.com/adefossez/julius) (π¨βπ» 2 Β· π 25 Β· π¦ 580 Β· π 11 - 18% open Β· β±οΈ 19.09.2022):
+- [GitHub](https://github.com/adefossez/julius) (π¨βπ» 2 Β· π 25 Β· π¦ 610 Β· π 11 - 18% open Β· β±οΈ 19.09.2022):
```
git clone https://github.com/adefossez/julius
```
-- [PyPi](https://pypi.org/project/julius) (π₯ 160K / month Β· π¦ 6 Β· β±οΈ 20.09.2022):
+- [PyPi](https://pypi.org/project/julius) (π₯ 150K / month Β· π¦ 6 Β· β±οΈ 20.09.2022):
```
pip install julius
```
textlesslib (π₯12 Β· β 440) - Library for Textless Spoken Language Processing. MIT
-- [GitHub](https://github.com/facebookresearch/textlesslib) (π¨βπ» 8 Β· π 43 Β· π 16 - 43% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/facebookresearch/textlesslib) (π¨βπ» 8 Β· π 43 Β· π 17 - 47% open Β· β±οΈ 29.08.2023):
```
git clone https://github.com/facebookresearch/textlesslib
@@ -3546,14 +3513,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
Show 9 hidden projects...
-- aubio (π₯28 Β· β 3K Β· π) - a library for audio and music analysis. βοΈGPL-3.0
+- aubio (π₯28 Β· β 3K Β· π) - a library for audio and music analysis. βοΈGPL-3.0
- Essentia (π₯26 Β· β 2.5K) - C++ library for audio and music analysis, description and.. βοΈAGPL-3.0
- Madmom (π₯26 Β· β 1.1K Β· π) - Python audio and music signal processing library. BSD-3
- python_speech_features (π₯25 Β· β 2.3K Β· π) - This library provides common speech features for ASR.. MIT
- TTS (π₯24 Β· β 7.9K Β· π) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
-- Dejavu (π₯23 Β· β 6.1K Β· π) - Audio fingerprinting and recognition in Python. MIT
+- Dejavu (π₯24 Β· β 6.1K Β· π) - Audio fingerprinting and recognition in Python. MIT
- kapre (π₯22 Β· β 900 Β· π) - kapre: Keras Audio Preprocessors. MIT βοΈAGPL-3.0
+- TimeSide (π₯21 Β· β 350 Β· π€) - scalable audio processing framework and server written in.. βοΈAGPL-3.0
- Muda (π₯17 Β· β 220 Β· π) - A library for augmenting annotated audio data. ISC
@@ -3566,7 +3533,7 @@ _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¦ 6.4K Β· π 2.8K - 8% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 240 Β· π 2K Β· π¦ 6.4K Β· π 2.8K - 8% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/visgl/deck.gl
@@ -3586,12 +3553,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
GeoPandas (π₯39 Β· β 3.8K) - Python tools for geographic data. BSD-3
-- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 210 Β· π 850 Β· π₯ 2.2K Β· π¦ 25K Β· π 1.6K - 27% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 210 Β· π 850 Β· π₯ 2.2K Β· π¦ 25K Β· π 1.6K - 27% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/geopandas/geopandas
```
-- [PyPi](https://pypi.org/project/geopandas) (π₯ 5.4M / month Β· π¦ 1.6K Β· β±οΈ 06.06.2023):
+- [PyPi](https://pypi.org/project/geopandas) (π₯ 5.5M / month Β· π¦ 1.6K Β· β±οΈ 06.06.2023):
```
pip install geopandas
```
@@ -3602,34 +3569,18 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
folium (π₯38 Β· β 6.4K) - Python Data. Leaflet.js Maps. MIT
-- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 150 Β· π 2.2K Β· π¦ 28K Β· π 1K - 5% open Β· β±οΈ 15.08.2023):
-
- ```
- git clone https://github.com/python-visualization/folium
- ```
-- [PyPi](https://pypi.org/project/folium) (π₯ 660K / month Β· π¦ 780 Β· β±οΈ 12.12.2022):
- ```
- pip install folium
- ```
-- [Conda](https://anaconda.org/conda-forge/folium) (π₯ 2.3M Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge folium
- ```
-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¦ 8.6K Β· π 1.7K - 8% open Β· β±οΈ 28.08.2023):
+- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 150 Β· π 2.2K Β· π¦ 28K Β· π 1K - 5% open Β· β±οΈ 06.09.2023):
```
- git clone https://github.com/rasterio/rasterio
+ git clone https://github.com/python-visualization/folium
```
-- [PyPi](https://pypi.org/project/rasterio) (π₯ 1.7M / month Β· π¦ 960 Β· β±οΈ 28.06.2023):
+- [PyPi](https://pypi.org/project/folium) (π₯ 660K / month Β· π¦ 780 Β· β±οΈ 12.12.2022):
```
- pip install rasterio
+ pip install folium
```
-- [Conda](https://anaconda.org/conda-forge/rasterio) (π₯ 2.5M Β· β±οΈ 29.06.2023):
+- [Conda](https://anaconda.org/conda-forge/folium) (π₯ 2.3M Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge rasterio
+ conda install -c conda-forge folium
```
geopy (π₯36 Β· β 4.1K) - Geocoding library for Python. MIT
@@ -3650,7 +3601,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Shapely (π₯36 Β· β 3.4K) - Manipulation and analysis of geometric objects. BSD-3
-- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 150 Β· π 540 Β· π₯ 2.4K Β· π¦ 51K Β· π 1.1K - 20% open Β· β±οΈ 19.08.2023):
+- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 150 Β· π 540 Β· π₯ 2.4K Β· π¦ 52K Β· π 1.1K - 20% open Β· β±οΈ 04.09.2023):
```
git clone https://github.com/shapely/shapely
@@ -3659,35 +3610,35 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
pip install shapely
```
-- [Conda](https://anaconda.org/conda-forge/shapely) (π₯ 8.2M Β· β±οΈ 19.08.2023):
+- [Conda](https://anaconda.org/conda-forge/shapely) (π₯ 8.3M Β· β±οΈ 19.08.2023):
```
conda install -c conda-forge shapely
```
pyproj (π₯36 Β· β 920) - Python interface to PROJ (cartographic projections and coordinate.. MIT
-- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 64 Β· π 200 Β· π¦ 23K Β· π 580 - 4% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 64 Β· π 200 Β· π¦ 23K Β· π 580 - 4% open Β· β±οΈ 31.08.2023):
```
git clone https://github.com/pyproj4/pyproj
```
-- [PyPi](https://pypi.org/project/pyproj) (π₯ 7.3M / month Β· π¦ 1.9K Β· β±οΈ 12.06.2023):
+- [PyPi](https://pypi.org/project/pyproj) (π₯ 7.4M / month Β· π¦ 1.9K Β· β±οΈ 12.06.2023):
```
pip install pyproj
```
-- [Conda](https://anaconda.org/conda-forge/pyproj) (π₯ 6.5M Β· β±οΈ 14.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pyproj) (π₯ 6.6M Β· β±οΈ 14.06.2023):
```
conda install -c conda-forge pyproj
```
ipyleaflet (π₯33 Β· β 1.4K) - A Jupyter - Leaflet.js bridge. MIT
-- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 83 Β· π 350 Β· π¦ 5.1K Β· π 590 - 42% open Β· β±οΈ 02.06.2023):
+- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 83 Β· π 330 Β· π¦ 5.1K Β· π 570 - 39% open Β· β±οΈ 02.06.2023):
```
git clone https://github.com/jupyter-widgets/ipyleaflet
```
-- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 160K / month Β· π¦ 160 Β· β±οΈ 02.06.2023):
+- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 160K / month):
```
pip install ipyleaflet
```
@@ -3695,19 +3646,19 @@ _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₯ 44K / month Β· π¦ 5 Β· β±οΈ 02.06.2023):
+- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 43K / month):
```
npm install jupyter-leaflet
```
Fiona (π₯33 Β· β 1.1K) - Fiona reads and writes geographic data files. BSD-3
-- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 69 Β· π 200 Β· π¦ 14K Β· π 760 - 5% open Β· β±οΈ 17.08.2023):
+- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 69 Β· π 190 Β· π¦ 14K Β· π 750 - 4% open Β· β±οΈ 04.09.2023):
```
git clone https://github.com/Toblerity/Fiona
```
-- [PyPi](https://pypi.org/project/fiona) (π₯ 5.8M / month Β· π¦ 870 Β· β±οΈ 23.05.2023):
+- [PyPi](https://pypi.org/project/fiona) (π₯ 5.8M / month):
```
pip install fiona
```
@@ -3716,14 +3667,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge fiona
```
ArcGIS API (π₯31 Β· β 1.7K) - Documentation and samples for ArcGIS API for Python. Apache-2
+ArcGIS API (π₯29 Β· β 1.7K) - Documentation and samples for ArcGIS API for Python. Apache-2
-- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 87 Β· π 1K Β· π₯ 9K Β· π¦ 2 Β· π 640 - 9% open Β· β±οΈ 24.08.2023):
+- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 87 Β· π 1K Β· π₯ 9.1K Β· π¦ 2 Β· π 610 - 4% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/Esri/arcgis-python-api
```
-- [PyPi](https://pypi.org/project/arcgis) (π₯ 78K / month Β· π¦ 31 Β· β±οΈ 27.01.2023):
+- [PyPi](https://pypi.org/project/arcgis) (π₯ 76K / month):
```
pip install arcgis
```
@@ -3732,7 +3683,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
docker pull esridocker/arcgis-api-python-notebook
```
geojson (π₯29 Β· β 830) - 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» 53 Β· π 120 Β· π¦ 15K Β· π 98 - 25% open Β· β±οΈ 28.05.2023):
@@ -3750,12 +3701,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
GeoViews (π₯28 Β· β 510) - Simple, concise geographical visualization in Python. BSD-3
-- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 29 Β· π 71 Β· π¦ 750 Β· π 330 - 33% open Β· β±οΈ 10.08.2023):
+- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 29 Β· π 71 Β· π¦ 750 Β· π 330 - 33% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/holoviz/geoviews
```
-- [PyPi](https://pypi.org/project/geoviews) (π₯ 6.4K / month Β· π¦ 34 Β· β±οΈ 20.07.2023):
+- [PyPi](https://pypi.org/project/geoviews) (π₯ 6.1K / month Β· π¦ 34 Β· β±οΈ 20.07.2023):
```
pip install geoviews
```
@@ -3764,63 +3715,64 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge geoviews
```
EarthPy (π₯27 Β· β 450) - A package built to support working with spatial data using open source.. BSD-3
+PySAL (π₯27 Β· β 1.2K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
-- [GitHub](https://github.com/earthlab/earthpy) (π¨βπ» 44 Β· π 150 Β· π¦ 240 Β· π 230 - 9% open Β· β±οΈ 23.08.2023):
+- [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/earthlab/earthpy
+ git clone https://github.com/pysal/pysal
```
-- [PyPi](https://pypi.org/project/earthpy) (π₯ 5.6K / month Β· π¦ 17 Β· β±οΈ 01.10.2021):
+- [PyPi](https://pypi.org/project/pysal) (π₯ 22K / month Β· π¦ 36 Β· β±οΈ 01.08.2023):
```
- pip install earthpy
+ pip install pysal
```
-- [Conda](https://anaconda.org/conda-forge/earthpy) (π₯ 67K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pysal) (π₯ 510K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge earthpy
+ conda install -c conda-forge pysal
```
PySAL (π₯26 Β· β 1.2K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
+EarthPy (π₯26 Β· β 460) - A package built to support working with spatial data using open source.. BSD-3
-- [GitHub](https://github.com/pysal/pysal) (π¨βπ» 78 Β· π 280 Β· π 620 - 2% open Β· β±οΈ 01.08.2023):
+- [GitHub](https://github.com/earthlab/earthpy) (π¨βπ» 44 Β· π 150 Β· π¦ 240 Β· π 230 - 10% open Β· β±οΈ 23.08.2023):
```
- git clone https://github.com/pysal/pysal
+ git clone https://github.com/earthlab/earthpy
```
-- [PyPi](https://pypi.org/project/pysal) (π₯ 23K / month Β· π¦ 36 Β· β±οΈ 01.08.2023):
+- [PyPi](https://pypi.org/project/earthpy) (π₯ 5.8K / month Β· π¦ 17 Β· β±οΈ 01.10.2021):
```
- pip install pysal
+ pip install earthpy
```
-- [Conda](https://anaconda.org/conda-forge/pysal) (π₯ 510K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/earthpy) (π₯ 68K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge pysal
+ conda install -c conda-forge earthpy
```
pymap3d (π₯25 Β· β 320) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2
+pymap3d (π₯22 Β· β 320) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2
-- [GitHub](https://github.com/geospace-code/pymap3d) (π¨βπ» 15 Β· π 79 Β· π¦ 300 Β· π 53 - 16% open Β· β±οΈ 05.03.2023):
+- [GitHub](https://github.com/geospace-code/pymap3d) (π¨βπ» 14 Β· π 77 Β· π¦ 310 Β· π 50 - 12% open Β· β±οΈ 05.03.2023):
```
git clone https://github.com/geospace-code/pymap3d
```
-- [PyPi](https://pypi.org/project/pymap3d) (π₯ 60K / month Β· π¦ 20 Β· β±οΈ 05.03.2023):
+- [PyPi](https://pypi.org/project/pymap3d) (π₯ 57K / month):
```
pip install pymap3d
```
-- [Conda](https://anaconda.org/conda-forge/pymap3d) (π₯ 58K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pymap3d) (π₯ 59K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge pymap3d
```
Show 7 hidden projects...
+Show 8 hidden projects...
-- Geocoder (π₯32 Β· β 1.5K Β· π) - Python Geocoder. MIT
+- Rasterio (π₯35 Β· β 2K) - Rasterio reads and writes geospatial raster datasets. βUnlicensed
+- Geocoder (π₯31 Β· β 1.5K Β· π) - Python Geocoder. MIT
- Satpy (π₯29 Β· β 940) - Python package for earth-observing satellite data processing. βοΈGPL-3.0
-- Sentinelsat (π₯28 Β· β 910) - Search and download Copernicus Sentinel satellite images. βοΈGPL-3.0
-- gmaps (π₯24 Β· β 750 Β· π) - Google maps for Jupyter notebooks. BSD-3 βοΈAGPL-3.0
+- Sentinelsat (π₯26 Β· β 910) - Search and download Copernicus Sentinel satellite images. βοΈGPL-3.0
- Mapbox GL (π₯23 Β· β 640 Β· π) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT MIT
+- prettymaps (π₯22 Β· β 10K Β· π€) - A small set of Python functions to draw pretty maps from.. βοΈAGPL-3.0
+- geoplotlib (π₯21 Β· β 1K Β· π) - python toolbox for visualizing geographical data and making maps. MIT
+- gmaps (π₯20 Β· β 750 Β· π) - Google maps for Jupyter notebooks. BSD-3
@@ -3837,7 +3789,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/ranaroussi/yfinance
```
-- [PyPi](https://pypi.org/project/yfinance) (π₯ 1.1M / month Β· π¦ 260 Β· β±οΈ 13.08.2023):
+- [PyPi](https://pypi.org/project/yfinance) (π₯ 1.2M / month Β· π¦ 260 Β· β±οΈ 13.08.2023):
```
pip install yfinance
```
@@ -3846,34 +3798,18 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
conda install -c ranaroussi yfinance
```
Qlib (π₯31 Β· β 12K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT
+Qlib (π₯31 Β· β 12K) - 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₯ 370 Β· π¦ 11 Β· π 780 - 28% open Β· β±οΈ 24.08.2023):
+- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 120 Β· π 2.1K Β· π₯ 370 Β· π¦ 13 Β· π 790 - 28% open Β· β±οΈ 01.09.2023):
```
git clone https://github.com/microsoft/qlib
```
-- [PyPi](https://pypi.org/project/pyqlib) (π₯ 2.1K / month Β· π¦ 1 Β· β±οΈ 15.06.2022):
+- [PyPi](https://pypi.org/project/pyqlib) (π₯ 2.2K / month Β· π¦ 1 Β· β±οΈ 15.06.2022):
```
pip install pyqlib
```
ta (π₯30 Β· β 3.7K Β· π€) - Technical Analysis Library using Pandas and Numpy. MIT
-
-- [GitHub](https://github.com/bukosabino/ta) (π¨βπ» 29 Β· π 800 Β· π¦ 2.5K Β· π 230 - 57% open Β· β±οΈ 23.08.2022):
-
- ```
- git clone https://github.com/bukosabino/ta
- ```
-- [PyPi](https://pypi.org/project/ta) (π₯ 62K / month Β· π¦ 43 Β· β±οΈ 23.08.2022):
- ```
- pip install ta
- ```
-- [Conda](https://anaconda.org/conda-forge/ta) (π₯ 18K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge ta
- ```
-Alpha Vantage (π₯29 Β· β 4K Β· π€) - A python wrapper for Alpha Vantage API for financial data. MIT
- [GitHub](https://github.com/RomelTorres/alpha_vantage) (π¨βπ» 42 Β· π 690 Β· π¦ 390 Β· π 280 - 2% open Β· β±οΈ 25.12.2022):
@@ -3881,23 +3817,23 @@ _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₯ 28K / month Β· π¦ 29 Β· β±οΈ 21.12.2020):
+- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 26K / month Β· π¦ 29 Β· β±οΈ 21.12.2020):
```
pip install alpha_vantage
```
-- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (π₯ 5.1K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (π₯ 5.2K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge alpha_vantage
```
IB-insync (π₯29 Β· β 2.3K) - Python sync/async framework for Interactive Brokers API. BSD-2
-- [GitHub](https://github.com/erdewit/ib_insync) (π¨βπ» 36 Β· π 570 Β· π 520 - 1% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/erdewit/ib_insync) (π¨βπ» 36 Β· π 580 Β· π 530 - 1% open Β· β±οΈ 01.09.2023):
```
git clone https://github.com/erdewit/ib_insync
```
-- [PyPi](https://pypi.org/project/ib_insync) (π₯ 26K / month Β· π¦ 23 Β· β±οΈ 21.11.2022):
+- [PyPi](https://pypi.org/project/ib_insync) (π₯ 27K / month Β· π¦ 23 Β· β±οΈ 21.11.2022):
```
pip install ib_insync
```
@@ -3908,12 +3844,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
bt (π₯29 Β· β 1.8K) - bt - flexible backtesting for Python. MIT
-- [GitHub](https://github.com/pmorissette/bt) (π¨βπ» 28 Β· π 390 Β· π¦ 1.5K Β· π 330 - 24% open Β· β±οΈ 23.05.2023):
+- [GitHub](https://github.com/pmorissette/bt) (π¨βπ» 28 Β· π 360 Β· π¦ 1.6K Β· π 330 - 23% open Β· β±οΈ 04.09.2023):
```
git clone https://github.com/pmorissette/bt
```
-- [PyPi](https://pypi.org/project/bt) (π₯ 8.4K / month Β· π¦ 26 Β· β±οΈ 21.04.2021):
+- [PyPi](https://pypi.org/project/bt) (π₯ 8.5K / month):
```
pip install bt
```
@@ -3922,50 +3858,34 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
conda install -c conda-forge bt
```
ffn (π₯29 Β· β 1.6K) - ffn - a financial function library for Python. MIT
+ffn (π₯28 Β· β 1.6K) - ffn - a financial function library for Python. MIT
-- [GitHub](https://github.com/pmorissette/ffn) (π¨βπ» 30 Β· π 270 Β· π¦ 360 Β· π 120 - 18% open Β· β±οΈ 28.05.2023):
+- [GitHub](https://github.com/pmorissette/ffn) (π¨βπ» 30 Β· π 260 Β· π¦ 370 Β· π 120 - 18% open Β· β±οΈ 28.05.2023):
```
git clone https://github.com/pmorissette/ffn
```
-- [PyPi](https://pypi.org/project/ffn) (π₯ 310K / month Β· π¦ 29 Β· β±οΈ 21.04.2021):
+- [PyPi](https://pypi.org/project/ffn) (π₯ 270K / month):
```
pip install ffn
```
-- [Conda](https://anaconda.org/conda-forge/ffn) (π₯ 5.2K Β· β±οΈ 15.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ffn) (π₯ 5.3K Β· β±οΈ 15.06.2023):
```
conda install -c conda-forge ffn
```
stockstats (π₯28 Β· β 1.2K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
+stockstats (π₯28 Β· β 1.2K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
- [GitHub](https://github.com/jealous/stockstats) (π¨βπ» 9 Β· π 290 Β· π¦ 920 Β· π 120 - 9% open Β· β±οΈ 30.07.2023):
```
git clone https://github.com/jealous/stockstats
```
-- [PyPi](https://pypi.org/project/stockstats) (π₯ 11K / month Β· π¦ 29 Β· β±οΈ 30.07.2023):
+- [PyPi](https://pypi.org/project/stockstats) (π₯ 10K / month Β· π¦ 29 Β· β±οΈ 30.07.2023):
```
pip install stockstats
```
TensorTrade (π₯26 Β· β 4.2K Β· π€) - An open source reinforcement learning framework for.. Apache-2
-
-- [GitHub](https://github.com/tensortrade-org/tensortrade) (π¨βπ» 61 Β· π 980 Β· π¦ 48 Β· π 250 - 20% open Β· β±οΈ 23.08.2022):
-
- ```
- git clone https://github.com/tensortrade-org/tensortrade
- ```
-- [PyPi](https://pypi.org/project/tensortrade) (π₯ 420 / month Β· π¦ 1 Β· β±οΈ 10.05.2021):
- ```
- pip install tensortrade
- ```
-- [Conda](https://anaconda.org/conda-forge/tensortrade) (π₯ 3K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge tensortrade
- ```
-PyAlgoTrade (π₯24 Β· β 4.1K) - Python Algorithmic Trading Library. Apache-2
- [GitHub](https://github.com/gbeced/pyalgotrade) (π¨βπ» 11 Β· π 1.4K Β· π¦ 170 Β· β±οΈ 05.03.2023):
@@ -3973,72 +3893,63 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/gbeced/pyalgotrade
```
-- [PyPi](https://pypi.org/project/pyalgotrade) (π₯ 510 / month Β· π¦ 21 Β· β±οΈ 21.08.2018):
+- [PyPi](https://pypi.org/project/pyalgotrade) (π₯ 470 / month Β· π¦ 21 Β· β±οΈ 21.08.2018):
```
pip install pyalgotrade
```
FinQuant (π₯24 Β· β 1K) - A program for financial portfolio management, analysis and optimisation. MIT
-- [GitHub](https://github.com/fmilthaler/FinQuant) (π¨βπ» 11 Β· π 160 Β· π¦ 79 Β· π 48 - 33% open Β· β±οΈ 15.08.2023):
+- [GitHub](https://github.com/fmilthaler/FinQuant) (π¨βπ» 11 Β· π 160 Β· π¦ 80 Β· π 48 - 33% open Β· β±οΈ 03.09.2023):
```
git clone https://github.com/fmilthaler/FinQuant
```
-- [PyPi](https://pypi.org/project/FinQuant) (π₯ 870 / month Β· β±οΈ 17.08.2023):
+- [PyPi](https://pypi.org/project/FinQuant) (π₯ 540 / month Β· β±οΈ 04.09.2023):
```
pip install FinQuant
```
Crypto Signals (π₯23 Β· β 4.5K Β· π€) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT
+finmarketpy (π₯21 Β· β 3.2K) - Python library for backtesting trading strategies & analyzing.. Apache-2
-- [GitHub](https://github.com/CryptoSignal/Crypto-Signal) (π¨βπ» 28 Β· π 1.3K Β· π 270 - 24% open Β· β±οΈ 09.08.2022):
+- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 14 Β· π 480 Β· π₯ 47 Β· π¦ 10 Β· π 28 - 85% open Β· β±οΈ 26.04.2023):
```
- git clone https://github.com/CryptoSignal/crypto-signal
+ git clone https://github.com/cuemacro/finmarketpy
```
-- [Docker Hub](https://hub.docker.com/r/shadowreaver/crypto-signal) (π₯ 140K Β· β 8 Β· β±οΈ 03.09.2020):
+- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 93 / month Β· β±οΈ 07.10.2021):
```
- docker pull shadowreaver/crypto-signal
+ pip install finmarketpy
```
tf-quant-finance (π₯21 Β· β 4K) - High-performance TensorFlow library for quantitative.. Apache-2
+tf-quant-finance (π₯20 Β· β 4K) - High-performance TensorFlow library for quantitative.. Apache-2
- [GitHub](https://github.com/google/tf-quant-finance) (π¨βπ» 47 Β· π 530 Β· π 64 - 56% open Β· β±οΈ 15.08.2023):
```
git clone https://github.com/google/tf-quant-finance
```
-- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 310 / month Β· π¦ 2 Β· β±οΈ 19.08.2022):
+- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 330 / month Β· π¦ 2 Β· β±οΈ 19.08.2022):
```
pip install tf-quant-finance
```
finmarketpy (π₯21 Β· β 3.2K) - Python library for backtesting trading strategies & analyzing.. Apache-2
-
-- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 14 Β· π 480 Β· π₯ 47 Β· π¦ 10 Β· π 28 - 85% open Β· β±οΈ 26.04.2023):
-
- ```
- git clone https://github.com/cuemacro/finmarketpy
- ```
-- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 87 / month Β· β±οΈ 07.10.2021):
- ```
- pip install finmarketpy
- ```
-Show 11 hidden projects...
+Show 14 hidden projects...
- zipline (π₯33 Β· β 16K Β· π) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
-- pyfolio (π₯32 Β· β 5.1K Β· π) - Portfolio and risk analytics in Python. Apache-2
-- arch (π₯30 Β· β 1.1K) - ARCH models in Python. βοΈNCSA
-- backtrader (π₯29 Β· β 11K) - Python Backtesting library for trading strategies. βοΈGPL-3.0
-- empyrical (π₯28 Β· β 1.1K Β· π) - Common financial risk and performance metrics. Used by.. Apache-2
-- Alphalens (π₯27 Β· β 2.8K Β· π) - Performance analysis of predictive (alpha) stock factors. Apache-2
+- pyfolio (π₯31 Β· β 5.1K Β· π) - Portfolio and risk analytics in Python. Apache-2
+- arch (π₯30 Β· β 1.2K) - ARCH models in Python. βοΈNCSA
+- ta (π₯29 Β· β 3.7K Β· π) - Technical Analysis Library using Pandas and Numpy. MIT
+- backtrader (π₯28 Β· β 11K) - Python Backtesting library for trading strategies. βοΈGPL-3.0
+- empyrical (π₯27 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
+- TensorTrade (π₯25 Β· β 4.2K 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 1.9K Β· π) - Common financial technical indicators implemented in Pandas. βοΈLGPL-3.0
-- Backtesting.py (π₯22 Β· β 4K Β· π€) - Backtest trading strategies in Python. βοΈAGPL-3.0
+- Crypto Signals (π₯23 Β· β 4.5K Β· π) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT
+- FinTA (π₯23 Β· β 2K Β· π) - Common financial technical indicators implemented in Pandas. βοΈLGPL-3.0
+- Backtesting.py (π₯20 Β· β 4K 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 130 Β· π) - Python package to generate stock portfolios. βοΈGPL-3.0
+- pyrtfolio (π₯8 Β· β 140 Β· π) - Python package to generate stock portfolios. βοΈGPL-3.0
@@ -4050,23 +3961,23 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
sktime (π₯39 Β· β 6.8K) - A unified framework for machine learning with time series. BSD-3
-- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 280 Β· π 1.1K Β· π₯ 84 Β· π¦ 1.6K Β· π 1.9K - 34% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 280 Β· π 1.1K Β· π₯ 84 Β· π¦ 1.6K Β· π 1.9K - 34% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/alan-turing-institute/sktime
```
-- [PyPi](https://pypi.org/project/sktime) (π₯ 790K / month Β· π¦ 44 Β· β±οΈ 18.08.2023):
+- [PyPi](https://pypi.org/project/sktime) (π₯ 780K / month Β· π¦ 44 Β· β±οΈ 18.08.2023):
```
pip install sktime
```
-- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (π₯ 840K Β· β±οΈ 21.08.2023):
+- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (π₯ 860K Β· β±οΈ 21.08.2023):
```
conda install -c conda-forge sktime-all-extras
```
Prophet (π₯35 Β· β 16K) - 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₯ 1.9K Β· π¦ 11 Β· π 2K - 17% open Β· β±οΈ 21.08.2023):
+- [GitHub](https://github.com/facebook/prophet) (π¨βπ» 170 Β· π 4.4K Β· π₯ 2K Β· π¦ 13 Β· π 2K - 17% open Β· β±οΈ 21.08.2023):
```
git clone https://github.com/facebook/prophet
@@ -4082,12 +3993,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
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¦ 940 Β· π 310 - 38% open Β· β±οΈ 21.08.2023):
+- [GitHub](https://github.com/tslearn-team/tslearn) (π¨βπ» 43 Β· π 320 Β· π¦ 950 Β· π 310 - 38% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/tslearn-team/tslearn
```
-- [PyPi](https://pypi.org/project/tslearn) (π₯ 270K / month Β· π¦ 45 Β· β±οΈ 21.08.2023):
+- [PyPi](https://pypi.org/project/tslearn) (π₯ 260K / month Β· π¦ 45 Β· β±οΈ 21.08.2023):
```
pip install tslearn
```
@@ -4098,24 +4009,24 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
NeuralProphet (π₯32 Β· β 3.1K) - NeuralProphet: A simple forecasting package. MIT
-- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 42 Β· π 430 Β· π¦ 290 Β· π 490 - 10% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 42 Β· π 420 Β· π¦ 290 Β· π 480 - 7% open Β· β±οΈ 30.08.2023):
```
git clone https://github.com/ourownstory/neural_prophet
```
-- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 150K / month Β· π¦ 3 Β· β±οΈ 09.08.2023):
+- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 150K / month):
```
pip install neuralprophet
```
StatsForecast (π₯32 Β· β 2.9K) - Lightning fast forecasting with statistical and econometric.. Apache-2
-- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 27 Β· π 200 Β· π¦ 430 Β· π 220 - 44% open Β· β±οΈ 23.08.2023):
+- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 27 Β· π 200 Β· π¦ 440 Β· π 220 - 42% open Β· β±οΈ 23.08.2023):
```
git clone https://github.com/Nixtla/statsforecast
```
-- [PyPi](https://pypi.org/project/statsforecast) (π₯ 410K / month Β· π¦ 21 Β· β±οΈ 23.08.2023):
+- [PyPi](https://pypi.org/project/statsforecast) (π₯ 460K / month):
```
pip install statsforecast
```
@@ -4131,39 +4042,23 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/TDAmeritrade/stumpy
```
-- [PyPi](https://pypi.org/project/stumpy) (π₯ 190K / month Β· π¦ 15 Β· β±οΈ 21.08.2023):
+- [PyPi](https://pypi.org/project/stumpy) (π₯ 200K / month Β· π¦ 15 Β· β±οΈ 21.08.2023):
```
pip install stumpy
```
-- [Conda](https://anaconda.org/conda-forge/stumpy) (π₯ 870K Β· β±οΈ 21.08.2023):
+- [Conda](https://anaconda.org/conda-forge/stumpy) (π₯ 890K Β· β±οΈ 21.08.2023):
```
conda install -c conda-forge stumpy
```
pmdarima (π₯32 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¦ 6K Β· π 310 - 14% open Β· β±οΈ 03.07.2023):
-
- ```
- 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₯ 930K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge pmdarima
- ```
-tsfresh (π₯31 Β· β 7.7K) - Automatic extraction of relevant features from time series:. MIT
-- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 89 Β· π 1.2K Β· π¦ 11 Β· π 530 - 11% open Β· β±οΈ 03.08.2023):
+- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 89 Β· π 1.2K Β· π¦ 13 Β· π 530 - 11% open Β· β±οΈ 03.08.2023):
```
git clone https://github.com/blue-yonder/tsfresh
```
-- [PyPi](https://pypi.org/project/tsfresh) (π₯ 240K / month Β· π¦ 73 Β· β±οΈ 21.12.2021):
+- [PyPi](https://pypi.org/project/tsfresh) (π₯ 230K / month Β· π¦ 73 Β· β±οΈ 21.12.2021):
```
pip install tsfresh
```
@@ -4174,7 +4069,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Darts (π₯31 Β· β 6.3K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
-- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 100 Β· π 710 Β· π¦ 350 Β· π 1.2K - 20% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 100 Β· π 710 Β· π¦ 350 Β· π 1.2K - 20% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/unit8co/darts
@@ -4183,7 +4078,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
pip install u8darts
```
-- [Conda](https://anaconda.org/conda-forge/u8darts-all) (π₯ 34K Β· β±οΈ 07.08.2023):
+- [Conda](https://anaconda.org/conda-forge/u8darts-all) (π₯ 35K Β· β±οΈ 07.08.2023):
```
conda install -c conda-forge u8darts-all
```
@@ -4194,7 +4089,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
GluonTS (π₯31 Β· β 3.8K) - Probabilistic time series modeling in Python. Apache-2
-- [GitHub](https://github.com/awslabs/gluonts) (π¨βπ» 110 Β· π 710 Β· π 880 - 30% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/awslabs/gluonts) (π¨βπ» 110 Β· π 730 Β· π 880 - 30% open Β· β±οΈ 05.09.2023):
```
git clone https://github.com/awslabs/gluon-ts
@@ -4203,46 +4098,30 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
pip install gluonts
```
-- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 490 Β· β±οΈ 23.06.2023):
+- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 510 Β· β±οΈ 23.06.2023):
```
conda install -c anaconda gluonts
```
pytorch-forecasting (π₯29 Β· β 3.2K) - Time series forecasting with PyTorch. MIT
-
-- [GitHub](https://github.com/jdb78/pytorch-forecasting) (π¨βπ» 35 Β· π 510 Β· π 700 - 61% open Β· β±οΈ 10.04.2023):
-
- ```
- git clone https://github.com/jdb78/pytorch-forecasting
- ```
-- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 76K / month Β· π¦ 10 Β· β±οΈ 26.07.2020):
- ```
- pip install pytorch-forecasting
- ```
-- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (π₯ 49K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge pytorch-forecasting
- ```
-NeuralForecast (π₯28 Β· β 1.7K) - Scalable and user friendly neural forecasting algorithms. Apache-2
+pmdarima (π₯31 Β· β 1.4K) - A statistical library designed to fill the void in Pythons time series.. MIT
-- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 28 Β· π 180 Β· π¦ 40 Β· π 340 - 22% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 22 Β· π 230 Β· π¦ 6.1K Β· π 320 - 14% open Β· β±οΈ 03.07.2023):
```
- git clone https://github.com/Nixtla/neuralforecast
+ git clone https://github.com/alkaline-ml/pmdarima
```
-- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 7.2K / month Β· π¦ 3 Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/pmdarima) (π₯ 1.6M / month Β· π¦ 81 Β· β±οΈ 15.03.2023):
```
- pip install neuralforecast
+ pip install pmdarima
```
-- [Conda](https://anaconda.org/conda-forge/neuralforecast) (π₯ 9.6K Β· β±οΈ 30.08.2023):
+- [Conda](https://anaconda.org/conda-forge/pmdarima) (π₯ 950K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge neuralforecast
+ conda install -c conda-forge pmdarima
```
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¦ 450 Β· π 75 - 54% open Β· β±οΈ 20.06.2023):
+- [GitHub](https://github.com/johannfaouzi/pyts) (π¨βπ» 14 Β· π 150 Β· π¦ 460 Β· π 75 - 54% open Β· β±οΈ 20.06.2023):
```
git clone https://github.com/johannfaouzi/pyts
@@ -4256,58 +4135,58 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge pyts
```
Streamz (π₯27 Β· β 1.2K Β· π€) - Real-time stream processing for python. BSD-3
+pytorch-forecasting (π₯27 Β· β 3.2K) - Time series forecasting with PyTorch. MIT
-- [GitHub](https://github.com/python-streamz/streamz) (π¨βπ» 48 Β· π 140 Β· π¦ 420 Β· π 260 - 41% open Β· β±οΈ 22.12.2022):
+- [GitHub](https://github.com/jdb78/pytorch-forecasting) (π¨βπ» 35 Β· π 510 Β· π 670 - 59% open Β· β±οΈ 10.04.2023):
```
- git clone https://github.com/python-streamz/streamz
+ git clone https://github.com/jdb78/pytorch-forecasting
```
-- [PyPi](https://pypi.org/project/streamz) (π₯ 17K / month Β· π¦ 37 Β· β±οΈ 27.07.2022):
+- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 73K / month):
```
- pip install streamz
+ pip install pytorch-forecasting
```
-- [Conda](https://anaconda.org/conda-forge/streamz) (π₯ 720K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (π₯ 49K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge streamz
+ conda install -c conda-forge pytorch-forecasting
```
uber/orbit (π₯24 Β· β 1.7K Β· π€) - A Python package for Bayesian forecasting with object-.. Apache-2
+Streamz (π₯26 Β· β 1.2K Β· π€) - Real-time stream processing for python. BSD-3
-- [GitHub](https://github.com/uber/orbit) (π¨βπ» 18 Β· π 120 Β· π¦ 34 Β· π 390 - 16% open Β· β±οΈ 29.01.2023):
+- [GitHub](https://github.com/python-streamz/streamz) (π¨βπ» 48 Β· π 140 Β· π¦ 420 Β· π 260 - 41% open Β· β±οΈ 22.12.2022):
```
- git clone https://github.com/uber/orbit
+ git clone https://github.com/python-streamz/streamz
```
-- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 120K / month Β· π¦ 1 Β· β±οΈ 29.01.2023):
+- [PyPi](https://pypi.org/project/streamz) (π₯ 17K / month Β· π¦ 37 Β· β±οΈ 27.07.2022):
```
- pip install orbit-ml
+ pip install streamz
```
-- [Conda](https://anaconda.org/conda-forge/orbit-ml) (π₯ 4.1K Β· β±οΈ 18.06.2023):
+- [Conda](https://anaconda.org/conda-forge/streamz) (π₯ 720K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge orbit-ml
+ conda install -c conda-forge streamz
```
TSFEL (π₯24 Β· β 720) - 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¦ 92 Β· π 66 - 7% open Β· β±οΈ 22.08.2023):
+- [GitHub](https://github.com/fraunhoferportugal/tsfel) (π¨βπ» 18 Β· π 100 Β· π¦ 93 Β· π 62 - 1% open Β· β±οΈ 22.08.2023):
```
git clone https://github.com/fraunhoferportugal/tsfel
```
-- [PyPi](https://pypi.org/project/tsfel) (π₯ 23K / month Β· β±οΈ 22.08.2023):
+- [PyPi](https://pypi.org/project/tsfel) (π₯ 22K / month):
```
pip install tsfel
```
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 98 Β· π₯ 4 Β· π¦ 20 Β· π 100 - 22% open Β· β±οΈ 07.06.2023):
+- [GitHub](https://github.com/linkedin/greykite) (π¨βπ» 9 Β· π 98 Β· π₯ 4 Β· π¦ 21 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₯ 14K / month Β· β±οΈ 15.07.2022):
+- [PyPi](https://pypi.org/project/greykite) (π₯ 14K / month):
```
pip install greykite
```
@@ -4319,67 +4198,55 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/linkedin/luminol
```
-- [PyPi](https://pypi.org/project/luminol) (π₯ 13K / month Β· π¦ 15 Β· β±οΈ 11.12.2017):
+- [PyPi](https://pypi.org/project/luminol) (π₯ 12K / month Β· π¦ 15 Β· β±οΈ 11.12.2017):
```
pip install luminol
```
tick (π₯21 Β· β 430) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
-
-- [GitHub](https://github.com/X-DataInitiative/tick) (π¨βπ» 18 Β· π 97 Β· π₯ 280 Β· π¦ 70 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₯ 790 / month Β· π¦ 2 Β· β±οΈ 24.05.2020):
- ```
- pip install tick
- ```
-seglearn (π₯20 Β· β 560 Β· π€) - Python module for machine learning time series:. BSD-3
+pydlm (π₯20 Β· β 460) - A python library for Bayesian time series modeling. BSD-3
-- [GitHub](https://github.com/dmbee/seglearn) (π¨βπ» 14 Β· π 64 Β· π¦ 45 Β· π 29 - 17% open Β· β±οΈ 27.08.2022):
+- [GitHub](https://github.com/wwrechard/pydlm) (π¨βπ» 6 Β· π 97 Β· π¦ 31 Β· π 45 - 82% open Β· β±οΈ 04.09.2023):
```
- git clone https://github.com/dmbee/seglearn
+ git clone https://github.com/wwrechard/pydlm
```
-- [PyPi](https://pypi.org/project/seglearn) (π₯ 1K / month Β· π¦ 2 Β· β±οΈ 13.03.2021):
+- [PyPi](https://pypi.org/project/pydlm) (π₯ 31K / month Β· π¦ 2 Β· β±οΈ 19.12.2018):
```
- pip install seglearn
+ pip install pydlm
```
pydlm (π₯20 Β· β 460) - A python library for Bayesian time series modeling. BSD-3
+tick (π₯20 Β· β 430) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
-- [GitHub](https://github.com/wwrechard/pydlm) (π¨βπ» 6 Β· π 97 Β· π¦ 31 Β· π 45 - 82% open Β· β±οΈ 08.05.2023):
+- [GitHub](https://github.com/X-DataInitiative/tick) (π¨βπ» 18 Β· π 97 Β· π₯ 280 Β· π¦ 70 Β· π 240 - 28% open Β· β±οΈ 05.03.2023):
```
- git clone https://github.com/wwrechard/pydlm
+ git clone https://github.com/X-DataInitiative/tick
```
-- [PyPi](https://pypi.org/project/pydlm) (π₯ 30K / month Β· π¦ 2 Β· β±οΈ 19.12.2018):
+- [PyPi](https://pypi.org/project/tick) (π₯ 720 / month Β· π¦ 2 Β· β±οΈ 24.05.2020):
```
- pip install pydlm
+ pip install tick
```
Auto TS (π₯18 Β· β 610) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
+Auto TS (π₯19 Β· β 610) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
-- [GitHub](https://github.com/AutoViML/Auto_TS) (π¨βπ» 9 Β· π 100 Β· β±οΈ 17.05.2023):
+- [GitHub](https://github.com/AutoViML/Auto_TS) (π¨βπ» 9 Β· π 100 Β· π 83 - 1% open Β· β±οΈ 17.05.2023):
```
git clone https://github.com/AutoViML/Auto_TS
```
-- [PyPi](https://pypi.org/project/auto-ts) (π₯ 4.2K / month Β· β±οΈ 16.08.2022):
+- [PyPi](https://pypi.org/project/auto-ts) (π₯ 4.1K / month Β· β±οΈ 16.08.2022):
```
pip install auto-ts
```
tsflex (π₯18 Β· β 310) - Flexible time series feature extraction & processing. MIT
+tsflex (π₯18 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¦ 8 Β· π 44 - 59% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/predict-idlab/tsflex) (π¨βπ» 6 Β· π 21 Β· π¦ 8 Β· π 43 - 58% open Β· β±οΈ 31.08.2023):
```
git clone https://github.com/predict-idlab/tsflex
```
-- [PyPi](https://pypi.org/project/tsflex) (π₯ 220 / month Β· β±οΈ 11.10.2022):
+- [PyPi](https://pypi.org/project/tsflex) (π₯ 300 / month):
```
pip install tsflex
```
@@ -4388,13 +4255,16 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge tsflex
```
Show 6 hidden projects...
+Show 9 hidden projects...
- PyFlux (π₯25 Β· β 2K Β· π) - Open source time series library for Python. BSD-3
-- ADTK (π₯20 Β· β 960 Β· π) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0
+- NeuralForecast (π₯25 Β· β 1.7K) - Scalable and user friendly neural forecasting algorithms. βUnlicensed
+- uber/orbit (π₯21 Β· β 1.7K Β· π€) - A Python package for Bayesian forecasting with object-.. βUnlicensed
+- seglearn (π₯20 Β· β 560 Β· π) - Python module for machine learning time series:. BSD-3
+- ADTK (π₯19 Β· β 960 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
- atspy (π₯14 Β· β 490 Β· π) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
-- tsaug (π₯13 Β· β 310 Β· π) - A Python package for time series augmentation. Apache-2
+- tsaug (π₯13 Β· β 320 Β· π) - A Python package for time series augmentation. Apache-2
- tslumen (π₯8 Β· β 50 Β· π€) - A library for Time Series EDA (exploratory data analysis). Apache-2
@@ -4407,28 +4277,28 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (π₯38 Β· β 2.3K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
-- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 350 Β· π 1.2K Β· π¦ 2.9K Β· π 4.6K - 11% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 350 Β· π 1.2K Β· π¦ 3K Β· π 4.6K - 11% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/mne-tools/mne-python
```
-- [PyPi](https://pypi.org/project/mne) (π₯ 90K / month Β· π¦ 270 Β· β±οΈ 15.08.2023):
+- [PyPi](https://pypi.org/project/mne) (π₯ 96K / month Β· π¦ 270 Β· β±οΈ 06.09.2023):
```
pip install mne
```
-- [Conda](https://anaconda.org/conda-forge/mne) (π₯ 320K Β· β±οΈ 15.08.2023):
+- [Conda](https://anaconda.org/conda-forge/mne) (π₯ 320K Β· β±οΈ 06.09.2023):
```
conda install -c conda-forge mne
```
MONAI (π₯36 Β· β 4.6K) - AI Toolkit for Healthcare Imaging. Apache-2
-- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 170 Β· π 860 Β· π¦ 1.3K Β· π 2.7K - 12% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 170 Β· π 870 Β· π¦ 1.3K Β· π 2.7K - 11% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/Project-MONAI/MONAI
```
-- [PyPi](https://pypi.org/project/monai) (π₯ 75K / month Β· π¦ 42 Β· β±οΈ 13.06.2022):
+- [PyPi](https://pypi.org/project/monai) (π₯ 80K / month Β· π¦ 42 Β· β±οΈ 13.06.2022):
```
pip install monai
```
@@ -4439,12 +4309,12 @@ _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» 220 Β· π 530 Β· π₯ 140 Β· π¦ 2.5K Β· π 1.9K - 15% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 220 Β· π 530 Β· π₯ 140 Β· π¦ 2.5K Β· π 1.9K - 15% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/nilearn/nilearn
```
-- [PyPi](https://pypi.org/project/nilearn) (π₯ 28K / month Β· π¦ 280 Β· β±οΈ 28.04.2023):
+- [PyPi](https://pypi.org/project/nilearn) (π₯ 29K / month Β· π¦ 280 Β· β±οΈ 28.04.2023):
```
pip install nilearn
```
@@ -4455,7 +4325,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
NIPYPE (π₯35 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¦ 3.2K Β· π 1.3K - 29% open Β· β±οΈ 25.08.2023):
+- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 250 Β· π 510 Β· π¦ 3.4K Β· π 1.3K - 29% open Β· β±οΈ 01.09.2023):
```
git clone https://github.com/nipy/nipype
@@ -4480,26 +4350,26 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
```
pip install lifelines
```
-- [Conda](https://anaconda.org/conda-forge/lifelines) (π₯ 280K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/lifelines) (π₯ 290K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge lifelines
```
Hail (π₯33 Β· β 890) - 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 2.2K - 4% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 90 Β· π 230 Β· π¦ 110 Β· π 2.2K - 6% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/hail-is/hail
```
-- [PyPi](https://pypi.org/project/hail) (π₯ 21K / month Β· π¦ 15 Β· β±οΈ 27.07.2023):
+- [PyPi](https://pypi.org/project/hail) (π₯ 21K / month Β· π¦ 16 Β· β±οΈ 06.09.2023):
```
pip install hail
```
DIPY (π₯33 Β· β 610) - 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¦ 860 Β· π 860 - 17% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/dipy/dipy) (π¨βπ» 150 Β· π 380 Β· π¦ 860 Β· π 860 - 17% open Β· β±οΈ 03.09.2023):
```
git clone https://github.com/dipy/dipy
@@ -4508,14 +4378,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
```
pip install dipy
```
-- [Conda](https://anaconda.org/conda-forge/dipy) (π₯ 400K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/dipy) (π₯ 410K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge dipy
```
NiBabel (π₯33 Β· β 580) - Python package to access a cacophony of neuro-imaging file formats. MIT
-- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 97 Β· π 250 Β· π¦ 14K Β· π 500 - 24% open Β· β±οΈ 06.08.2023):
+- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 97 Β· π 250 Β· π¦ 14K Β· π 500 - 24% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/nipy/nibabel
@@ -4524,12 +4394,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
```
pip install nibabel
```
-- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 620K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 630K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge nibabel
```
DeepVariant (π₯24 Β· β 2.9K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3
+DeepVariant (π₯24 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 670 Β· π₯ 4.7K Β· π 650 - 1% open Β· β±οΈ 28.02.2023):
@@ -4541,14 +4411,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c bioconda deepvariant
```
NIPY (π₯24 Β· β 350) - Neuroimaging in Python FMRI analysis package. BSD-3
+NIPY (π₯23 Β· β 350) - Neuroimaging in Python FMRI analysis package. BSD-3
- [GitHub](https://github.com/nipy/nipy) (π¨βπ» 66 Β· π 130 Β· π 160 - 28% open Β· β±οΈ 05.04.2023):
```
git clone https://github.com/nipy/nipy
```
-- [PyPi](https://pypi.org/project/nipy) (π₯ 1.8K / month Β· π¦ 50 Β· β±οΈ 29.03.2021):
+- [PyPi](https://pypi.org/project/nipy) (π₯ 1.5K / month Β· π¦ 50 Β· β±οΈ 29.03.2021):
```
pip install nipy
```
@@ -4560,8 +4430,8 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 9 hidden projects...
- NiftyNet (π₯24 Β· β 1.3K Β· π) - [unmaintained] An open-source convolutional neural.. Apache-2 βοΈGPL-3.0
-- DLTK (π₯20 Β· β 1.4K Β· π) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 βοΈGPL-3.0
+- DLTK (π₯21 Β· β 1.4K Β· π) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 Apache-2
- Glow (π₯20 Β· β 240 Β· π€) - An open-source toolkit for large-scale genomic analysis. 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₯21 Β· β 400) - Deep Learning PyTorch. MIT
+carefree-learn (π₯21 Β· β 400) - Deep Learning PyTorch. 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 23.08.2023):
+- [GitHub](https://github.com/carefree0910/carefree-learn) (π 31 Β· π¦ 4 Β· π 82 - 2% open Β· β±οΈ 23.08.2023):
```
git clone https://github.com/carefree0910/carefree-learn
```
-- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 380 / month Β· β±οΈ 14.08.2023):
+- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 430 / month):
```
pip install carefree-learn
```
pytorch_tabular (π₯20 Β· β 1K) - A standard framework for modelling Deep Learning Models for.. MIT
+pytorch_tabular (π₯20 Β· β 1K) - A standard framework for modelling Deep Learning Models for.. MIT
-- [GitHub](https://github.com/manujosephv/pytorch_tabular) (π¨βπ» 16 Β· π 110 Β· π₯ 18 Β· π 110 - 11% open Β· β±οΈ 19.07.2023):
+- [GitHub](https://github.com/manujosephv/pytorch_tabular) (π¨βπ» 16 Β· π 110 Β· π₯ 18 Β· π 110 - 7% open Β· β±οΈ 19.07.2023):
```
git clone https://github.com/manujosephv/pytorch_tabular
```
-- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 2.4K / month Β· π¦ 2 Β· β±οΈ 01.09.2021):
+- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 2.6K / month):
```
pip install pytorch_tabular
```
Show 3 hidden projects...
-- miceforest (π₯22 Β· β 260 Β· π€) - Multiple Imputation with LightGBM in Python. MIT
-- upgini (π₯20 Β· β 240) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
-- deltapy (π₯12 Β· β 510 Β· π) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT
+- miceforest (π₯20 Β· β 260 Β· π€) - Multiple Imputation with LightGBM in Python. MIT
+- upgini (π₯17 Β· β 250) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
+- deltapy (π₯9 Β· β 510 Β· π) - DeltaPy - Tabular Data Augmentation (by @firmai). βUnlicensed
@@ -4617,52 +4487,36 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
PaddleOCR (π₯38 Β· β 33K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 180 Β· π 6.6K Β· π¦ 1.7K Β· π 8K - 9% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 180 Β· π 6.6K Β· π¦ 1.7K Β· π 8K - 9% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/PaddlePaddle/PaddleOCR
```
-- [PyPi](https://pypi.org/project/paddleocr) (π₯ 69K / month Β· π¦ 27 Β· β±οΈ 10.08.2023):
+- [PyPi](https://pypi.org/project/paddleocr) (π₯ 66K / month Β· π¦ 27 Β· β±οΈ 10.08.2023):
```
pip install paddleocr
```
EasyOCR (π₯33 Β· β 19K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2
+EasyOCR (π₯35 Β· β 19K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2
-- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 120 Β· π 2.7K Β· π₯ 6M Β· π¦ 3.6K Β· π 870 - 33% open Β· β±οΈ 04.07.2023):
+- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 130 Β· π 2.7K Β· π₯ 6.2M Β· π¦ 3.6K Β· π 870 - 33% open Β· β±οΈ 04.09.2023):
```
git clone https://github.com/JaidedAI/EasyOCR
```
-- [PyPi](https://pypi.org/project/easyocr) (π₯ 120K / month Β· π¦ 69 Β· β±οΈ 20.09.2022):
+- [PyPi](https://pypi.org/project/easyocr) (π₯ 130K / month Β· π¦ 69 Β· β±οΈ 04.09.2023):
```
pip install easyocr
```
Tesseract (π₯33 Β· β 5K) - Python-tesseract is an optical character recognition (OCR) tool for.. Apache-2
-
-- [GitHub](https://github.com/madmaze/pytesseract) (π¨βπ» 43 Β· π 650 Β· π 360 - 6% open Β· β±οΈ 30.08.2023):
-
- ```
- git clone https://github.com/madmaze/pytesseract
- ```
-- [PyPi](https://pypi.org/project/pytesseract) (π₯ 1.1M / month Β· π¦ 1.1K Β· β±οΈ 16.08.2022):
- ```
- pip install pytesseract
- ```
-- [Conda](https://anaconda.org/conda-forge/pytesseract) (π₯ 580K Β· β±οΈ 26.08.2023):
- ```
- conda install -c conda-forge pytesseract
- ```
-OCRmyPDF (π₯32 Β· β 9.7K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
-- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 85 Β· π 750 Β· π₯ 150 Β· π¦ 590 Β· π 1K - 10% open Β· β±οΈ 22.08.2023):
+- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 85 Β· π 750 Β· π₯ 210 Β· π¦ 590 Β· π 1K - 10% open Β· β±οΈ 22.08.2023):
```
git clone https://github.com/ocrmypdf/OCRmyPDF
```
-- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 42K / month Β· π¦ 17 Β· β±οΈ 12.08.2023):
+- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 41K / month Β· π¦ 17 Β· β±οΈ 12.08.2023):
```
pip install ocrmypdf
```
@@ -4671,14 +4525,14 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
conda install -c conda-forge ocrmypdf
```
tesserocr (π₯30 Β· β 1.8K) - A Python wrapper for the tesseract-ocr API. MIT
+tesserocr (π₯29 Β· β 1.8K) - A Python wrapper for the tesseract-ocr API. MIT
-- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 29 Β· π 250 Β· π₯ 40 Β· π¦ 870 Β· π 290 - 26% open Β· β±οΈ 19.07.2023):
+- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 29 Β· π 250 Β· π₯ 42 Β· π¦ 880 Β· π 290 - 26% open Β· β±οΈ 19.07.2023):
```
git clone https://github.com/sirfz/tesserocr
```
-- [PyPi](https://pypi.org/project/tesserocr) (π₯ 58K / month Β· π¦ 72 Β· β±οΈ 19.07.2023):
+- [PyPi](https://pypi.org/project/tesserocr) (π₯ 55K / month Β· π¦ 72 Β· β±οΈ 19.07.2023):
```
pip install tesserocr
```
@@ -4687,21 +4541,37 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
conda install -c conda-forge tesserocr
```
MMOCR (π₯28 Β· β 3.6K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2
+Tesseract (π₯28 Β· β 5.1K Β· π) - Python-tesseract is an optical character recognition (OCR).. Apache-2
+
+- [GitHub](https://github.com/madmaze/pytesseract) (π¨βπ» 42 Β· π 650 Β· π 340 - 3% open Β· β±οΈ 30.08.2023):
+
+ ```
+ git clone https://github.com/madmaze/pytesseract
+ ```
+- [PyPi](https://pypi.org/project/pytesseract) (π₯ 1.1M / month):
+ ```
+ pip install pytesseract
+ ```
+- [Conda](https://anaconda.org/conda-forge/pytesseract) (π₯ 580K Β· β±οΈ 26.08.2023):
+ ```
+ conda install -c conda-forge pytesseract
+ ```
+MMOCR (π₯28 Β· β 3.7K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2
-- [GitHub](https://github.com/open-mmlab/mmocr) (π¨βπ» 84 Β· π 680 Β· π¦ 72 Β· π 880 - 16% open Β· β±οΈ 26.07.2023):
+- [GitHub](https://github.com/open-mmlab/mmocr) (π¨βπ» 85 Β· π 680 Β· π¦ 73 Β· π 880 - 16% open Β· β±οΈ 01.09.2023):
```
git clone https://github.com/open-mmlab/mmocr
```
-- [PyPi](https://pypi.org/project/mmocr) (π₯ 5.6K / month Β· π¦ 2 Β· β±οΈ 05.05.2022):
+- [PyPi](https://pypi.org/project/mmocr) (π₯ 5.2K / month Β· π¦ 2 Β· β±οΈ 05.05.2022):
```
pip install mmocr
```
keras-ocr (π₯26 Β· β 1.2K Β· π€) - A packaged and flexible version of the CRAFT text detector.. MIT
+keras-ocr (π₯25 Β· β 1.2K 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₯ 620K Β· π¦ 300 Β· π 200 - 43% open Β· β±οΈ 24.12.2022):
+- [GitHub](https://github.com/faustomorales/keras-ocr) (π¨βπ» 17 Β· π 300 Β· π₯ 630K Β· π¦ 310 Β· π 200 - 43% open Β· β±οΈ 24.12.2022):
```
git clone https://github.com/faustomorales/keras-ocr
@@ -4710,36 +4580,29 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
```
pip install keras-ocr
```
-- [Conda](https://anaconda.org/anaconda/keras-ocr) (π₯ 260 Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/anaconda/keras-ocr) (π₯ 270 Β· β±οΈ 16.06.2023):
```
conda install -c anaconda keras-ocr
```
calamari (π₯22 Β· β 990) - Line based ATR Engine based on OCRopy. Apache-2
+calamari (π₯21 Β· β 990) - 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₯ 1.6K / month Β· π¦ 5 Β· β±οΈ 18.08.2023):
+- [PyPi](https://pypi.org/project/calamari_ocr) (π₯ 1.7K / month):
```
pip install calamari_ocr
```
Mozart (π₯10 Β· β 500 Β· π€) - An optical music recognition (OMR) system. Converts sheet.. Apache-2
-
-- [GitHub](https://github.com/aashrafh/Mozart) (π¨βπ» 6 Β· π 72 Β· π 14 - 14% open Β· β±οΈ 24.08.2022):
-
- ```
- git clone https://github.com/aashrafh/Mozart
- ```
-Show 3 hidden projects...
+Show 4 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
+- Mozart (π₯10 Β· β 500 Β· π) - An optical music recognition (OMR) system. Converts sheet.. Apache-2
@@ -4791,12 +4654,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (π₯45 Β· β 27K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2
-- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 910 Β· π 4.7K Β· π₯ 87 Β· π¦ 11K Β· π 15K - 20% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 910 Β· π 4.7K Β· π₯ 87 Β· π¦ 11K Β· π 16K - 21% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/ray-project/ray
```
-- [PyPi](https://pypi.org/project/ray) (π₯ 4M / month Β· π¦ 400 Β· β±οΈ 15.08.2023):
+- [PyPi](https://pypi.org/project/ray) (π₯ 4.2M / month Β· π¦ 410 Β· β±οΈ 02.09.2023):
```
pip install ray
```
@@ -4807,28 +4670,28 @@ _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» 580 Β· π 1.6K Β· π¦ 52K Β· π 5K - 19% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/dask/dask) (π¨βπ» 580 Β· π 1.6K Β· π¦ 52K Β· π 5K - 19% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/dask/dask
```
-- [PyPi](https://pypi.org/project/dask) (π₯ 10M / month Β· π¦ 3K Β· β±οΈ 18.08.2023):
+- [PyPi](https://pypi.org/project/dask) (π₯ 10M / month Β· π¦ 3K Β· β±οΈ 06.09.2023):
```
pip install dask
```
-- [Conda](https://anaconda.org/conda-forge/dask) (π₯ 9.9M Β· β±οΈ 18.08.2023):
+- [Conda](https://anaconda.org/conda-forge/dask) (π₯ 10M Β· β±οΈ 07.09.2023):
```
conda install -c conda-forge dask
```
DeepSpeed (π₯42 Β· β 28K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2
-- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 230 Β· π 3.4K Β· π¦ 3.8K Β· π 2.1K - 38% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 240 Β· π 3.4K Β· π¦ 4K Β· π 2.1K - 38% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/microsoft/DeepSpeed
```
-- [PyPi](https://pypi.org/project/deepspeed) (π₯ 500K / month Β· π¦ 67 Β· β±οΈ 18.08.2023):
+- [PyPi](https://pypi.org/project/deepspeed) (π₯ 460K / month Β· π¦ 71 Β· β±οΈ 31.08.2023):
```
pip install deepspeed
```
@@ -4839,40 +4702,40 @@ _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¦ 30K Β· π 3.6K - 38% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/dask/distributed) (π¨βπ» 320 Β· π 700 Β· π¦ 30K Β· π 3.7K - 38% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/dask/distributed
```
-- [PyPi](https://pypi.org/project/distributed) (π₯ 7.8M / month Β· π¦ 1.3K Β· β±οΈ 18.08.2023):
+- [PyPi](https://pypi.org/project/distributed) (π₯ 7.8M / month Β· π¦ 1.3K Β· β±οΈ 06.09.2023):
```
pip install distributed
```
-- [Conda](https://anaconda.org/conda-forge/distributed) (π₯ 12M Β· β±οΈ 18.08.2023):
+- [Conda](https://anaconda.org/conda-forge/distributed) (π₯ 12M Β· β±οΈ 06.09.2023):
```
conda install -c conda-forge distributed
```
horovod (π₯37 Β· β 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2
-- [GitHub](https://github.com/horovod/horovod) (π¨βπ» 170 Β· π 2.2K Β· π¦ 980 Β· π 2.2K - 16% open Β· β±οΈ 26.06.2023):
+- [GitHub](https://github.com/horovod/horovod) (π¨βπ» 170 Β· π 2.2K Β· π¦ 990 Β· π 2.2K - 16% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/horovod/horovod
```
-- [PyPi](https://pypi.org/project/horovod) (π₯ 93K / month Β· π¦ 31 Β· β±οΈ 12.06.2023):
+- [PyPi](https://pypi.org/project/horovod) (π₯ 91K / month Β· π¦ 31 Β· β±οΈ 12.06.2023):
```
pip install horovod
```
BigDL (π₯36 Β· β 4.3K) - Fast, distributed, secure AI for Big Data. Apache-2
+BigDL (π₯36 Β· β 4.3K) - Accelerating LLM with low-bit (INT3/INT4/NF4/INT5/INT8) optimizations.. Apache-2
-- [GitHub](https://github.com/intel-analytics/BigDL) (π¨βπ» 180 Β· π 1.1K Β· π¦ 45 Β· π 2K - 39% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/intel-analytics/BigDL) (π¨βπ» 180 Β· π 1.1K Β· π¦ 45 Β· π 2K - 39% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/intel-analytics/BigDL
```
-- [PyPi](https://pypi.org/project/bigdl) (π₯ 4.7K / month Β· π¦ 1 Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/bigdl) (π₯ 3.8K / month Β· π¦ 1 Β· β±οΈ 07.09.2023):
```
pip install bigdl
```
@@ -4885,26 +4748,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
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» 240 Β· π 2K Β· π¦ 11 Β· π 9.1K - 29% open Β· β±οΈ 30.08.2023):
-
- ```
- git clone https://github.com/h2oai/h2o-3
- ```
-- [PyPi](https://pypi.org/project/h2o) (π₯ 340K / month Β· π¦ 81 Β· β±οΈ 22.08.2023):
- ```
- pip install h2o
- ```
-metrics (π₯35 Β· β 1.6K) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 210 Β· π 320 Β· π₯ 3.6K Β· π¦ 15K Β· π 680 - 6% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 210 Β· π 320 Β· π₯ 3.7K Β· π¦ 15K Β· π 680 - 6% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/Lightning-AI/metrics
```
-- [PyPi](https://pypi.org/project/metrics) (π₯ 5.6K / month Β· π¦ 13 Β· β±οΈ 28.04.2018):
+- [PyPi](https://pypi.org/project/metrics) (π₯ 5.6K / month):
```
pip install metrics
```
@@ -4913,22 +4764,34 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge torchmetrics
```
ColossalAI (π₯32 Β· β 32K) - Making large AI models cheaper, faster and more accessible. Apache-2
+H2O-3 (π₯33 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» 240 Β· π 1.9K Β· π¦ 13 Β· π 9K - 29% open Β· β±οΈ 02.09.2023):
+
+ ```
+ git clone https://github.com/h2oai/h2o-3
+ ```
+- [PyPi](https://pypi.org/project/h2o) (π₯ 320K / month):
+ ```
+ pip install h2o
+ ```
+ColossalAI (π₯32 Β· β 33K) - Making large AI models cheaper, faster and more accessible. Apache-2
-- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 140 Β· π 3.7K Β· π¦ 260 Β· π 1.4K - 23% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 150 Β· π 3.7K Β· π¦ 260 Β· π 1.4K - 22% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/hpcaitech/colossalai
```
FairScale (π₯31 Β· β 2.5K) - PyTorch extensions for high performance and large scale training. BSD-3
+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¦ 2.9K 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₯ 700K / month Β· π¦ 58 Β· β±οΈ 11.12.2022):
+- [PyPi](https://pypi.org/project/fairscale) (π₯ 660K / month Β· π¦ 58 Β· β±οΈ 11.12.2022):
```
pip install fairscale
```
@@ -4937,26 +4800,26 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge fairscale
```
SynapseML (π₯30 Β· β 4.4K) - Simple and Distributed Machine Learning. MIT
+SynapseML (π₯29 Β· β 4.4K) - Simple and Distributed Machine Learning. MIT
-- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 110 Β· π 770 Β· π 700 - 43% open Β· β±οΈ 11.08.2023):
+- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 110 Β· π 750 Β· π 680 - 42% open Β· β±οΈ 05.09.2023):
```
git clone https://github.com/microsoft/SynapseML
```
-- [PyPi](https://pypi.org/project/synapseml) (π₯ 310K / month Β· π¦ 3 Β· β±οΈ 22.11.2022):
+- [PyPi](https://pypi.org/project/synapseml) (π₯ 280K / month):
```
pip install synapseml
```
dask-ml (π₯30 Β· β 860) - Scalable Machine Learning with Dask. BSD-3
+dask-ml (π₯28 Β· β 860) - Scalable Machine Learning with Dask. BSD-3
- [GitHub](https://github.com/dask/dask-ml) (π¨βπ» 77 Β· π 240 Β· π¦ 850 Β· π 520 - 51% open Β· β±οΈ 24.03.2023):
```
git clone https://github.com/dask/dask-ml
```
-- [PyPi](https://pypi.org/project/dask-ml) (π₯ 200K / month Β· π¦ 72 Β· β±οΈ 06.05.2020):
+- [PyPi](https://pypi.org/project/dask-ml) (π₯ 210K / month Β· π¦ 72 Β· β±οΈ 06.05.2020):
```
pip install dask-ml
```
@@ -4965,20 +4828,20 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge dask-ml
```
Elephas (π₯29 Β· β 1.6K Β· π€) - Distributed Deep learning with Keras & Spark. MIT keras
+mpi4py (π₯28 Β· β 680) - Python bindings for MPI. BSD-2
-- [GitHub](https://github.com/maxpumperla/elephas) (π¨βπ» 27 Β· π 310 Β· π¦ 73 Β· π 160 - 4% open Β· β±οΈ 31.08.2022):
+- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 25 Β· π 98 Β· π₯ 15K Β· π 120 - 8% open Β· β±οΈ 04.09.2023):
```
- git clone https://github.com/maxpumperla/elephas
+ git clone https://github.com/mpi4py/mpi4py
```
-- [PyPi](https://pypi.org/project/elephas) (π₯ 72K / month Β· π¦ 3 Β· β±οΈ 04.03.2023):
+- [PyPi](https://pypi.org/project/mpi4py) (π₯ 140K / month Β· π¦ 690 Β· β±οΈ 02.11.2022):
```
- pip install elephas
+ pip install mpi4py
```
-- [Conda](https://anaconda.org/conda-forge/elephas) (π₯ 13K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/mpi4py) (π₯ 2.1M Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge elephas
+ conda install -c conda-forge mpi4py
```
TensorFlowOnSpark (π₯27 Β· β 3.9K) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2
@@ -4988,7 +4851,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/yahoo/TensorFlowOnSpark
```
-- [PyPi](https://pypi.org/project/tensorflowonspark) (π₯ 380K / month Β· π¦ 5 Β· β±οΈ 21.04.2022):
+- [PyPi](https://pypi.org/project/tensorflowonspark) (π₯ 420K / month Β· π¦ 5 Β· β±οΈ 21.04.2022):
```
pip install tensorflowonspark
```
@@ -5004,52 +4867,36 @@ _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₯ 190K / month Β· π¦ 33 Β· β±οΈ 15.05.2022):
+- [PyPi](https://pypi.org/project/mesh-tensorflow) (π₯ 110K / month Β· π¦ 33 Β· β±οΈ 15.05.2022):
```
pip install mesh-tensorflow
```
mpi4py (π₯27 Β· β 680) - Python bindings for MPI. BSD-2
-
-- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 25 Β· π 98 Β· π₯ 15K Β· π 120 - 8% open Β· β±οΈ 28.08.2023):
-
- ```
- git clone https://github.com/mpi4py/mpi4py
- ```
-- [PyPi](https://pypi.org/project/mpi4py) (π₯ 160K / month Β· π¦ 690 Β· β±οΈ 02.11.2022):
- ```
- pip install mpi4py
- ```
-- [Conda](https://anaconda.org/conda-forge/mpi4py) (π₯ 2.1M Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge mpi4py
- ```
-petastorm (π₯26 Β· β 1.7K) - Petastorm library enables single machine or distributed training.. Apache-2
+petastorm (π₯26 Β· β 1.7K Β· π€) - Petastorm library enables single machine or distributed.. Apache-2
- [GitHub](https://github.com/uber/petastorm) (π¨βπ» 48 Β· π 280 Β· π₯ 430 Β· π¦ 130 Β· π 320 - 53% open Β· β±οΈ 03.02.2023):
```
git clone https://github.com/uber/petastorm
```
-- [PyPi](https://pypi.org/project/petastorm) (π₯ 31K / month Β· π¦ 8 Β· β±οΈ 03.02.2023):
+- [PyPi](https://pypi.org/project/petastorm) (π₯ 30K / month Β· π¦ 8 Β· β±οΈ 03.02.2023):
```
pip install petastorm
```
Hivemind (π₯26 Β· β 1.6K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT
-- [GitHub](https://github.com/learning-at-home/hivemind) (π¨βπ» 28 Β· π 110 Β· π¦ 71 Β· π 160 - 37% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/learning-at-home/hivemind) (π¨βπ» 28 Β· π 110 Β· π¦ 71 Β· π 160 - 37% open Β· β±οΈ 05.09.2023):
```
git clone https://github.com/learning-at-home/hivemind
```
-- [PyPi](https://pypi.org/project/hivemind) (π₯ 6.4K / month Β· π¦ 6 Β· β±οΈ 23.07.2023):
+- [PyPi](https://pypi.org/project/hivemind) (π₯ 5.7K / month Β· π¦ 6 Β· β±οΈ 31.08.2023):
```
pip install hivemind
```
Submit it (π₯25 Β· β 930) - Python 3.6+ toolbox for submitting jobs to Slurm. MIT
+Submit it (π₯25 Β· β 940) - Python 3.6+ toolbox for submitting jobs to Slurm. MIT
- [GitHub](https://github.com/facebookincubator/submitit) (π¨βπ» 23 Β· π 100 Β· π¦ 1.5K Β· π 100 - 31% open Β· β±οΈ 16.08.2023):
@@ -5060,50 +4907,38 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
pip install submitit
```
-- [Conda](https://anaconda.org/conda-forge/submitit) (π₯ 27K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/submitit) (π₯ 28K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge submitit
```
analytics-zoo (π₯24 Β· β 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. 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 06.07.2023):
-
- ```
- git clone https://github.com/intel-analytics/analytics-zoo
- ```
-- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 1K / month Β· π¦ 1 Β· β±οΈ 07.07.2022):
- ```
- pip install analytics-zoo
- ```
-MMLSpark (π₯23 Β· β 4.4K) - Simple and Distributed Machine Learning. MIT
+MMLSpark (π₯24 Β· β 4.4K) - Simple and Distributed Machine Learning. MIT
-- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 110 Β· π 770 Β· π 700 - 43% open Β· β±οΈ 11.08.2023):
+- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 110 Β· π 770 Β· π 700 - 43% open Β· β±οΈ 05.09.2023):
```
git clone https://github.com/microsoft/SynapseML
```
-- [PyPi](https://pypi.org/project/mmlspark) (π₯ 2 / month Β· β±οΈ 18.03.2020):
+- [PyPi](https://pypi.org/project/mmlspark) (π₯ 3 / month Β· β±οΈ 18.03.2020):
```
pip install mmlspark
```
launchpad (π₯23 Β· β 300) - Launchpad is a library that simplifies writing distributed.. Apache-2
+analytics-zoo (π₯24 Β· β 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2
-- [GitHub](https://github.com/deepmind/launchpad) (π¨βπ» 28 Β· π 33 Β· π¦ 64 Β· π 38 - 44% open Β· β±οΈ 22.08.2023):
+- [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/deepmind/launchpad
+ git clone https://github.com/intel-analytics/analytics-zoo
```
-- [PyPi](https://pypi.org/project/dm-launchpad) (π₯ 2.2K / month Β· π¦ 1 Β· β±οΈ 28.04.2022):
+- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 1K / month Β· π¦ 1 Β· β±οΈ 07.07.2022):
```
- pip install dm-launchpad
+ pip install analytics-zoo
```
Apache Singa (π₯21 Β· β 2.9K) - a distributed deep learning platform. Apache-2
-- [GitHub](https://github.com/apache/singa) (π¨βπ» 81 Β· π 1K Β· π¦ 2 Β· π 120 - 44% open Β· β±οΈ 02.04.2023):
+- [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):
```
git clone https://github.com/apache/singa
@@ -5112,14 +4947,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
conda install -c nusdbsystem singa
```
-- [Docker Hub](https://hub.docker.com/r/apache/singa) (π₯ 3.5K Β· β 4 Β· β±οΈ 31.05.2022):
+- [Docker Hub](https://hub.docker.com/r/apache/singa) (π₯ 3.6K Β· β 4 Β· β±οΈ 31.05.2022):
```
docker pull apache/singa
```
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¦ 11 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¦ 13 Β· π 200 - 20% open Β· β±οΈ 12.01.2023):
```
git clone https://github.com/kingoflolz/mesh-transformer-jax
@@ -5133,18 +4968,20 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
git clone https://github.com/facebookresearch/moolib
```
Show 11 hidden projects...
+Show 13 hidden projects...
- DEAP (π₯35 Β· β 5.3K) - Distributed Evolutionary Algorithms in Python. βοΈLGPL-3.0
- ipyparallel (π₯30 Β· β 2.5K) - IPython Parallel: Interactive Parallel Computing in.. βUnlicensed MIT
+- Elephas (π₯27 Β· β 1.6K Β· π) - Distributed Deep learning with Keras & Spark. MIT keras Apache-2
- TensorFrames (π₯20 Β· β 750 Β· π) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 Apache-2 Apache-2 MIT
+- launchpad (π₯19 Β· β 300 Β· π) - Apache-2 Apache-2
-- parallelformers (π₯17 Β· β 700 Β· π) - Parallelformers: An Efficient Model Parallelization.. Apache-2
+- parallelformers (π₯17 Β· β 710 Β· π) - Parallelformers: An Efficient Model Parallelization.. Apache-2
- bluefog (π₯17 Β· β 290) - Distributed and decentralized training framework for PyTorch.. Apache-2 Apache-2
+- LazyCluster (π₯13 Β· β 49 Β· π) - Distributed machine learning made simple. Apache-2
- autodist (π₯10 Β· β 130 Β· π) - Simple Distributed Deep Learning on TensorFlow. Apache-2
@@ -5155,26 +4992,26 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
_Libraries for hyperparameter optimization, automl and neural architecture search._
-NNI (π₯36 Β· β 13K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT
+NNI (π₯35 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¦ 470 Β· π 2K - 15% open Β· β±οΈ 07.08.2023):
```
git clone https://github.com/microsoft/nni
```
-- [PyPi](https://pypi.org/project/nni) (π₯ 21K / month Β· π¦ 34 Β· β±οΈ 22.06.2022):
+- [PyPi](https://pypi.org/project/nni) (π₯ 21K / month):
```
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» 70 Β· π 840 Β· π¦ 1.4K Β· π 960 - 17% open Β· β±οΈ 23.08.2023):
+- [GitHub](https://github.com/alteryx/featuretools) (π¨βπ» 71 Β· π 820 Β· π¦ 1.4K Β· π 970 - 17% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/alteryx/featuretools
```
-- [PyPi](https://pypi.org/project/featuretools) (π₯ 79K / month Β· π¦ 74 Β· β±οΈ 24.07.2023):
+- [PyPi](https://pypi.org/project/featuretools) (π₯ 70K / month):
```
pip install featuretools
```
@@ -5185,28 +5022,28 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (π₯34 Β· β 2.1K) - Adaptive Experimentation Platform. MIT
-- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 150 Β· π 270 Β· π¦ 530 Β· π 590 - 8% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 150 Β· π 260 Β· π¦ 540 Β· π 570 - 4% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/facebook/Ax
```
-- [PyPi](https://pypi.org/project/ax-platform) (π₯ 150K / month Β· π¦ 25 Β· β±οΈ 11.08.2023):
+- [PyPi](https://pypi.org/project/ax-platform) (π₯ 150K / month):
```
pip install ax-platform
```
-- [Conda](https://anaconda.org/conda-forge/ax-platform) (π₯ 12K Β· β±οΈ 12.08.2023):
+- [Conda](https://anaconda.org/conda-forge/ax-platform) (π₯ 13K Β· β±οΈ 12.08.2023):
```
conda install -c conda-forge ax-platform
```
Hyperopt (π₯33 Β· β 6.8K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3
-- [GitHub](https://github.com/hyperopt/hyperopt) (π¨βπ» 100 Β· π 1K Β· π¦ 12K Β· π 660 - 52% open Β· β±οΈ 08.08.2023):
+- [GitHub](https://github.com/hyperopt/hyperopt) (π¨βπ» 100 Β· π 1K Β· π¦ 12K Β· π 670 - 52% open Β· β±οΈ 08.08.2023):
```
git clone https://github.com/hyperopt/hyperopt
```
-- [PyPi](https://pypi.org/project/hyperopt) (π₯ 1.9M / month Β· π¦ 490 Β· β±οΈ 17.11.2021):
+- [PyPi](https://pypi.org/project/hyperopt) (π₯ 1.8M / month Β· π¦ 490 Β· β±οΈ 17.11.2021):
```
pip install hyperopt
```
@@ -5215,9 +5052,9 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
conda install -c conda-forge hyperopt
```
BoTorch (π₯33 Β· β 2.7K) - Bayesian optimization in PyTorch. MIT
+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¦ 650 Β· π 440 - 16% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 100 Β· π 330 Β· π¦ 660 Β· π 440 - 16% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/pytorch/botorch
@@ -5233,12 +5070,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
AutoKeras (π₯31 Β· β 8.9K) - AutoML library for deep learning. Apache-2
-- [GitHub](https://github.com/keras-team/autokeras) (π¨βπ» 140 Β· π 1.4K Β· π₯ 16K Β· π¦ 550 Β· π 890 - 14% open Β· β±οΈ 21.06.2023):
+- [GitHub](https://github.com/keras-team/autokeras) (π¨βπ» 140 Β· π 1.4K Β· π₯ 16K Β· π¦ 550 Β· π 880 - 14% open Β· β±οΈ 21.06.2023):
```
git clone https://github.com/keras-team/autokeras
```
-- [PyPi](https://pypi.org/project/autokeras) (π₯ 9.7K / month Β· π¦ 11 Β· β±οΈ 30.04.2022):
+- [PyPi](https://pypi.org/project/autokeras) (π₯ 9.6K / month):
```
pip install autokeras
```
@@ -5250,7 +5087,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/automl/auto-sklearn
```
-- [PyPi](https://pypi.org/project/auto-sklearn) (π₯ 31K / month Β· π¦ 39 Β· β±οΈ 20.09.2022):
+- [PyPi](https://pypi.org/project/auto-sklearn) (π₯ 28K / month):
```
pip install auto-sklearn
```
@@ -5261,24 +5098,24 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Bayesian Optimization (π₯31 Β· β 7K) - A Python implementation of global optimization with.. MIT
-- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (π¨βπ» 41 Β· π 1.5K Β· π₯ 130 Β· π¦ 2K Β· π 320 - 3% open Β· β±οΈ 14.07.2023):
+- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (π¨βπ» 41 Β· π 1.4K Β· π₯ 130 Β· π¦ 2.1K Β· π 320 - 3% open Β· β±οΈ 14.07.2023):
```
git clone https://github.com/fmfn/BayesianOptimization
```
-- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 200K / month Β· π¦ 100 Β· β±οΈ 25.04.2023):
+- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 200K / month):
```
pip install bayesian-optimization
```
nevergrad (π₯31 Β· β 3.5K) - A Python toolbox for performing gradient-free optimization. MIT
-- [GitHub](https://github.com/facebookresearch/nevergrad) (π¨βπ» 49 Β· π 340 Β· π¦ 520 Β· π 290 - 45% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/facebookresearch/nevergrad) (π¨βπ» 49 Β· π 330 Β· π¦ 530 Β· π 240 - 34% open Β· β±οΈ 05.09.2023):
```
git clone https://github.com/facebookresearch/nevergrad
```
-- [PyPi](https://pypi.org/project/nevergrad) (π₯ 76K / month Β· π¦ 22 Β· β±οΈ 25.07.2023):
+- [PyPi](https://pypi.org/project/nevergrad) (π₯ 86K / month):
```
pip install nevergrad
```
@@ -5287,36 +5124,36 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
conda install -c conda-forge nevergrad
```
mljar-supervised (π₯31 Β· β 2.7K) - Python package for AutoML on Tabular Data with Feature.. MIT
+Keras Tuner (π₯30 Β· β 2.8K) - A Hyperparameter Tuning Library for Keras. Apache-2
-- [GitHub](https://github.com/mljar/mljar-supervised) (π¨βπ» 22 Β· π 360 Β· π¦ 83 Β· π 560 - 21% open Β· β±οΈ 28.08.2023):
+- [GitHub](https://github.com/keras-team/keras-tuner) (π¨βπ» 56 Β· π 370 Β· π¦ 2.6K Β· π 460 - 43% open Β· β±οΈ 10.08.2023):
```
- git clone https://github.com/mljar/mljar-supervised
+ git clone https://github.com/keras-team/keras-tuner
```
-- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 13K / month Β· π¦ 2 Β· β±οΈ 02.01.2023):
+- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 170K / month):
```
- pip install mljar-supervised
+ pip install keras-tuner
```
-- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (π₯ 11K Β· β±οΈ 06.07.2023):
+- [Conda](https://anaconda.org/conda-forge/keras-tuner) (π₯ 24K Β· β±οΈ 15.06.2023):
```
- conda install -c conda-forge mljar-supervised
+ conda install -c conda-forge keras-tuner
```
Keras Tuner (π₯30 Β· β 2.8K) - A Hyperparameter Tuning Library for Keras. Apache-2
+mljar-supervised (π₯30 Β· β 2.7K) - Python package for AutoML on Tabular Data with Feature.. MIT
-- [GitHub](https://github.com/keras-team/keras-tuner) (π¨βπ» 56 Β· π 370 Β· π¦ 2.6K Β· π 460 - 43% open Β· β±οΈ 10.08.2023):
+- [GitHub](https://github.com/mljar/mljar-supervised) (π¨βπ» 22 Β· π 360 Β· π¦ 84 Β· π 560 - 21% open Β· β±οΈ 28.08.2023):
```
- git clone https://github.com/keras-team/keras-tuner
+ git clone https://github.com/mljar/mljar-supervised
```
-- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 170K / month Β· π¦ 56 Β· β±οΈ 13.04.2023):
+- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 13K / month Β· π¦ 2 Β· β±οΈ 02.01.2023):
```
- pip install keras-tuner
+ pip install mljar-supervised
```
-- [Conda](https://anaconda.org/conda-forge/keras-tuner) (π₯ 24K Β· β±οΈ 15.06.2023):
+- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (π₯ 11K Β· β±οΈ 06.07.2023):
```
- conda install -c conda-forge keras-tuner
+ conda install -c conda-forge mljar-supervised
```
AutoGluon (π₯29 Β· β 6.2K) - AutoGluon: AutoML for Image, Text, Time Series, and.. Apache-2
@@ -5326,7 +5163,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/autogluon/autogluon
```
-- [PyPi](https://pypi.org/project/autogluon) (π₯ 40K / month Β· π¦ 7 Β· β±οΈ 31.08.2023):
+- [PyPi](https://pypi.org/project/autogluon) (π₯ 41K / month Β· π¦ 7 Β· β±οΈ 07.09.2023):
```
pip install autogluon
```
@@ -5335,26 +5172,26 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
docker pull autogluon/autogluon
```
Hyperas (π₯27 Β· β 2.2K Β· π€) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT
+Hyperas (π₯25 Β· β 2.2K Β· π€) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT
-- [GitHub](https://github.com/maxpumperla/hyperas) (π¨βπ» 22 Β· π 320 Β· π¦ 320 Β· π 260 - 37% open Β· β±οΈ 05.01.2023):
+- [GitHub](https://github.com/maxpumperla/hyperas) (π¨βπ» 22 Β· π 310 Β· π¦ 320 Β· π 260 - 37% open Β· β±οΈ 05.01.2023):
```
git clone https://github.com/maxpumperla/hyperas
```
-- [PyPi](https://pypi.org/project/hyperas) (π₯ 11K / month Β· π¦ 24 Β· β±οΈ 28.02.2019):
+- [PyPi](https://pypi.org/project/hyperas) (π₯ 11K / month):
```
pip install hyperas
```
lazypredict (π₯26 Β· β 2.1K Β· π€) - Lazy Predict help build a lot of basic models without much.. MIT
+lazypredict (π₯25 Β· β 2.1K Β· π€) - Lazy Predict help build a lot of basic models without much.. MIT
- [GitHub](https://github.com/shankarpandala/lazypredict) (π¨βπ» 17 Β· π 240 Β· π¦ 660 Β· π 110 - 65% open Β· β±οΈ 28.09.2022):
```
git clone https://github.com/shankarpandala/lazypredict
```
-- [PyPi](https://pypi.org/project/lazypredict) (π₯ 31K / month Β· π¦ 1 Β· β±οΈ 28.09.2022):
+- [PyPi](https://pypi.org/project/lazypredict) (π₯ 33K / month Β· π¦ 1 Β· β±οΈ 28.09.2022):
```
pip install lazypredict
```
@@ -5375,100 +5212,64 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
pip install gpyopt
```
Talos (π₯24 Β· β 1.6K Β· π€) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT
+Talos (π₯23 Β· β 1.6K Β· π€) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT
-- [GitHub](https://github.com/autonomio/talos) (π¨βπ» 22 Β· π 260 Β· π¦ 160 Β· π 400 - 2% open Β· β±οΈ 18.09.2022):
+- [GitHub](https://github.com/autonomio/talos) (π¨βπ» 22 Β· π 270 Β· π¦ 160 Β· π 400 - 2% open Β· β±οΈ 18.09.2022):
```
git clone https://github.com/autonomio/talos
```
-- [PyPi](https://pypi.org/project/talos) (π₯ 1.2K / month):
+- [PyPi](https://pypi.org/project/talos) (π₯ 940 / month Β· π¦ 7 Β· β±οΈ 28.05.2022):
```
pip install talos
```
FEDOT (π₯23 Β· β 550) - Automated modeling and machine learning framework FEDOT. BSD-3
+FEDOT (π₯23 Β· β 550) - Automated modeling and machine learning framework FEDOT. BSD-3
-- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 28 Β· π 77 Β· π¦ 40 Β· π 480 - 17% open Β· β±οΈ 24.08.2023):
+- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 29 Β· π 77 Β· π¦ 40 Β· π 480 - 17% open Β· β±οΈ 04.09.2023):
```
git clone https://github.com/nccr-itmo/FEDOT
```
-- [PyPi](https://pypi.org/project/fedot) (π₯ 880 / month Β· π¦ 1 Β· β±οΈ 25.07.2023):
+- [PyPi](https://pypi.org/project/fedot) (π₯ 900 / month):
```
pip install fedot
```
Hyperactive (π₯22 Β· β 460) - An optimization and data collection toolbox for convenient and fast.. MIT
-- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 7 Β· π 40 Β· π₯ 130 Β· π¦ 21 Β· π 62 - 17% open Β· β±οΈ 27.08.2023):
+- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 7 Β· π 41 Β· π₯ 130 Β· π¦ 21 Β· π 60 - 15% open Β· β±οΈ 27.08.2023):
```
git clone https://github.com/SimonBlanke/Hyperactive
```
-- [PyPi](https://pypi.org/project/hyperactive) (π₯ 1.1K / month Β· π¦ 5 Β· β±οΈ 27.08.2023):
+- [PyPi](https://pypi.org/project/hyperactive) (π₯ 890 / month):
```
pip install hyperactive
```
featurewiz (π₯22 Β· β 460) - Use advanced feature engineering strategies and select best.. Apache-2
-- [GitHub](https://github.com/AutoViML/featurewiz) (π¨βπ» 9 Β· π 73 Β· π¦ 48 Β· π 71 - 2% open Β· β±οΈ 30.05.2023):
+- [GitHub](https://github.com/AutoViML/featurewiz) (π¨βπ» 9 Β· π 73 Β· π¦ 49 Β· π 71 - 2% open Β· β±οΈ 30.05.2023):
```
git clone https://github.com/AutoViML/featurewiz
```
-- [PyPi](https://pypi.org/project/featurewiz) (π₯ 9.7K / month Β· π¦ 2 Β· β±οΈ 02.01.2023):
- ```
- pip install featurewiz
- ```
-Neuraxle (π₯21 Β· β 580 Β· π€) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2
-
-- [GitHub](https://github.com/Neuraxio/Neuraxle) (π¨βπ» 9 Β· π 57 Β· π¦ 49 Β· π 340 - 14% open Β· β±οΈ 16.08.2022):
-
- ```
- git clone https://github.com/Neuraxio/Neuraxle
- ```
-- [PyPi](https://pypi.org/project/neuraxle) (π₯ 550 / month Β· π¦ 1 Β· β±οΈ 16.08.2022):
- ```
- pip install neuraxle
- ```
-igel (π₯20 Β· β 3.1K) - a delightful machine learning tool that allows you to train, test, and use.. MIT
-
-- [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/nidhaloff/igel
- ```
-- [PyPi](https://pypi.org/project/igel) (π₯ 290 / month Β· β±οΈ 19.11.2021):
- ```
- pip install igel
- ```
-Dragonfly (π₯20 Β· β 800 Β· π€) - An open source python library for scalable Bayesian optimisation. MIT
-
-- [GitHub](https://github.com/dragonfly/dragonfly) (π¨βπ» 13 Β· π 230 Β· π 59 - 66% open Β· β±οΈ 01.10.2022):
-
- ```
- git clone https://github.com/dragonfly/dragonfly
- ```
-- [PyPi](https://pypi.org/project/dragonfly-opt) (π₯ 40K / month Β· π¦ 2 Β· β±οΈ 01.10.2022):
+- [PyPi](https://pypi.org/project/featurewiz) (π₯ 12K / month Β· π¦ 2 Β· β±οΈ 02.01.2023):
```
- pip install dragonfly-opt
+ pip install featurewiz
```
Auto ViML (π₯20 Β· β 460) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2
+igel (π₯20 Β· β 3.1K) - a delightful machine learning tool that allows you to train, test, and use.. MIT
-- [GitHub](https://github.com/AutoViML/Auto_ViML) (π¨βπ» 8 Β· π 92 Β· π¦ 22 Β· π 28 - 10% open Β· β±οΈ 21.05.2023):
+- [GitHub](https://github.com/nidhaloff/igel) (π¨βπ» 20 Β· π 170 Β· π₯ 40 Β· π¦ 4 Β· π 47 - 6% open Β· β±οΈ 08.04.2023):
```
- git clone https://github.com/AutoViML/Auto_ViML
+ git clone https://github.com/nidhaloff/igel
```
-- [PyPi](https://pypi.org/project/autoviml) (π₯ 520 / month Β· π¦ 2 Β· β±οΈ 01.06.2022):
+- [PyPi](https://pypi.org/project/igel) (π₯ 230 / month):
```
- pip install autoviml
+ pip install igel
```
AlphaPy (π₯19 Β· β 960) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2
@@ -5478,62 +5279,76 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/ScottfreeLLC/AlphaPy
```
-- [PyPi](https://pypi.org/project/alphapy) (π₯ 79 / month Β· β±οΈ 29.08.2020):
+- [PyPi](https://pypi.org/project/alphapy) (π₯ 110 / month Β· β±οΈ 29.08.2020):
```
pip install alphapy
```
shap-hypetune (π₯18 Β· β 480 Β· π€) - A python package for simultaneous Hyperparameters Tuning and.. MIT
+opytimizer (π₯18 Β· β 570) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2
-- [GitHub](https://github.com/cerlymarco/shap-hypetune) (π¨βπ» 2 Β· π 59 Β· π¦ 15 Β· π 27 - 7% open Β· β±οΈ 24.08.2022):
+- [GitHub](https://github.com/gugarosa/opytimizer) (π¨βπ» 4 Β· π 38 Β· π¦ 15 Β· β±οΈ 11.05.2023):
```
- git clone https://github.com/cerlymarco/shap-hypetune
+ git clone https://github.com/gugarosa/opytimizer
```
-- [PyPi](https://pypi.org/project/shap-hypetune) (π₯ 2.5K / month Β· π¦ 1 Β· β±οΈ 24.08.2022):
+- [PyPi](https://pypi.org/project/opytimizer) (π₯ 200 / month):
```
- pip install shap-hypetune
+ pip install opytimizer
```
opytimizer (π₯17 Β· β 570) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2
+Dragonfly (π₯17 Β· β 800 Β· π€) - An open source python library for scalable Bayesian optimisation. MIT
-- [GitHub](https://github.com/gugarosa/opytimizer) (π¨βπ» 4 Β· π 37 Β· π¦ 15 Β· β±οΈ 11.05.2023):
+- [GitHub](https://github.com/dragonfly/dragonfly) (π¨βπ» 13 Β· π 220 Β· π 59 - 66% open Β· β±οΈ 01.10.2022):
```
- git clone https://github.com/gugarosa/opytimizer
+ git clone https://github.com/dragonfly/dragonfly
```
-- [PyPi](https://pypi.org/project/opytimizer) (π₯ 250 / month Β· β±οΈ 04.05.2022):
+- [PyPi](https://pypi.org/project/dragonfly-opt) (π₯ 40K / month):
```
- pip install opytimizer
+ pip install dragonfly-opt
+ ```
+Auto ViML (π₯17 Β· β 460) - 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 92 Β· π¦ 22 Β· π 28 - 10% open Β· β±οΈ 21.05.2023):
+
+ ```
+ git clone https://github.com/AutoViML/Auto_ViML
+ ```
+- [PyPi](https://pypi.org/project/autoviml) (π₯ 520 / month):
+ ```
+ pip install autoviml
```
Show 26 hidden projects...
+Show 28 hidden projects...
- Optuna (π₯39 Β· β 8.6K) - A hyperparameter optimization framework. βUnlicensed
- TPOT (π₯33 Β· β 9.2K) - A Python Automated Machine Learning tool that optimizes machine.. βοΈLGPL-3.0 BSD-3
-- Orion (π₯26 Β· β 260) - Asynchronous Distributed Hyperparameter Optimization. BSD-3
-- SMAC3 (π₯25 Β· β 890) - SMAC3: A Versatile Bayesian Optimization Package for.. βοΈBSD-1-Clause
-- AdaNet (π₯23 Β· β 3.5K Β· π) - Fast and flexible AutoML with learning guarantees. Apache-2 BSD-3
-- auto_ml (π₯22 Β· β 1.6K Β· π) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT
-- MLBox (π₯22 Β· β 1.4K Β· π) - MLBox is a powerful Automated Machine Learning python library. βοΈBSD-1-Clause
+- AdaNet (π₯23 Β· β 3.5K Β· π) - Fast and flexible AutoML with learning guarantees. Apache-2 βUnlicensed
+- SMAC3 (π₯22 Β· β 900) - SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter.. βUnlicensed
+- HpBandSter (π₯22 Β· β 580 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 MIT
+- auto_ml (π₯21 Β· β 1.6K Β· π) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT
+- MLBox (π₯21 Β· β 1.4K Β· π) - MLBox is a powerful Automated Machine Learning python library. βUnlicensed
+- Neuraxle (π₯21 Β· β 580 Β· π) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2
- optunity (π₯21 Β· β 410 Β· π) - optimization routines for hyperparameter tuning. BSD-3
- sklearn-deap (π₯20 Β· β 740 Β· π) - Use evolutionary algorithms instead of gridsearch in.. MIT MIT
- Auto Tune Models (π₯18 Β· β 520 Β· π) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT
+- shap-hypetune (π₯18 Β· β 480 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
- Xcessiv (π₯16 Β· β 1.3K Β· π) - A web-based application for quick, scalable, and automated.. Apache-2
- HyperparameterHunter (π₯16 Β· β 700 Β· π) - Easy hyperparameter optimization and automatic result.. MIT
-- Parfit (π₯16 Β· β 200 Β· π) - A package for parallelizing the fit and flexibly scoring of.. MIT MIT
+- Parfit (π₯15 Β· β 200 Β· π) - A package for parallelizing the fit and flexibly scoring of.. MIT Apache-2
+- model_search (π₯12 Β· β 3.2K Β· π) - AutoML algorithms for model architecture search at scale. Apache-2
+- Auptimizer (π₯12 Β· β 200 Β· π) - An automatic ML model optimization tool. βοΈGPL-3.0
- Hypermax (π₯12 Β· β 110 Β· π) - Better, faster hyper-parameter optimization. BSD-3
-- model_search (π₯11 Β· β 3.2K Β· π) - AutoML algorithms for model architecture search at scale. Apache-2
- Devol (π₯11 Β· β 950 Β· π) - Genetic neural architecture search with Keras. MIT
-- Auptimizer (π₯11 Β· β 200 Β· π) - An automatic ML model optimization tool. βοΈGPL-3.0
- Hypertunity (π₯9 Β· β 140 Β· π) - A toolset for black-box hyperparameter optimisation. Apache-2
@@ -5551,7 +5366,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/openai/gym
```
-- [PyPi](https://pypi.org/project/gym) (π₯ 350K / month Β· π¦ 2.7K Β· β±οΈ 04.10.2022):
+- [PyPi](https://pypi.org/project/gym) (π₯ 340K / month Β· π¦ 2.7K Β· β±οΈ 04.10.2022):
```
pip install gym
```
@@ -5567,7 +5382,7 @@ _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₯ 200K / month Β· π¦ 4 Β· β±οΈ 17.01.2019):
+- [PyPi](https://pypi.org/project/tf-agents) (π₯ 130K / month Β· π¦ 4 Β· β±οΈ 17.01.2019):
```
pip install tf-agents
```
@@ -5579,36 +5394,24 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/mwydmuch/ViZDoom
```
-- [PyPi](https://pypi.org/project/vizdoom) (π₯ 780 / month Β· π¦ 16 Β· β±οΈ 18.04.2022):
+- [PyPi](https://pypi.org/project/vizdoom) (π₯ 740 / month Β· π¦ 16 Β· β±οΈ 18.04.2022):
```
pip install vizdoom
```
Dopamine (π₯28 Β· β 10K) - Dopamine is a research framework for fast prototyping of.. Apache-2
-
-- [GitHub](https://github.com/google/dopamine) (π¨βπ» 15 Β· π 1.4K Β· π¦ 11 Β· π 180 - 52% open Β· β±οΈ 29.06.2023):
-
- ```
- git clone https://github.com/google/dopamine
- ```
-- [PyPi](https://pypi.org/project/dopamine-rl) (π₯ 36K / month Β· π¦ 36 Β· β±οΈ 21.09.2022):
- ```
- pip install dopamine-rl
- ```
-FinRL (π₯28 Β· β 8K) - FinRL: Financial Reinforcement Learning. MIT
+FinRL (π₯27 Β· β 8K) - FinRL: Financial Reinforcement Learning. MIT
-- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 100 Β· π 2K Β· π¦ 23 Β· π 640 - 26% open Β· β±οΈ 27.08.2023):
+- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 110 Β· π 2K Β· π¦ 23 Β· π 630 - 25% open Β· β±οΈ 05.09.2023):
```
git clone https://github.com/AI4Finance-Foundation/FinRL
```
-- [PyPi](https://pypi.org/project/finrl) (π₯ 1K / month Β· β±οΈ 08.01.2022):
+- [PyPi](https://pypi.org/project/finrl) (π₯ 1K / month):
```
pip install finrl
```
TensorLayer (π₯27 Β· β 7.2K) - Deep Learning and Reinforcement Learning Library for.. Apache-2
+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):
@@ -5627,7 +5430,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/deepmind/acme
```
-- [PyPi](https://pypi.org/project/dm-acme) (π₯ 1.2K / month Β· π¦ 3 Β· β±οΈ 10.02.2022):
+- [PyPi](https://pypi.org/project/dm-acme) (π₯ 1.8K / month Β· π¦ 3 Β· β±οΈ 10.02.2022):
```
pip install dm-acme
```
@@ -5636,14 +5439,26 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
conda install -c conda-forge dm-acme
```
PARL (π₯26 Β· β 3.1K) - A high-performance distributed training framework for Reinforcement.. Apache-2
+Dopamine (π₯26 Β· β 10K) - Dopamine is a research framework for fast prototyping of.. Apache-2
+
+- [GitHub](https://github.com/google/dopamine) (π¨βπ» 15 Β· π 1.4K Β· π¦ 13 Β· π 180 - 53% open Β· β±οΈ 29.06.2023):
+
+ ```
+ git clone https://github.com/google/dopamine
+ ```
+- [PyPi](https://pypi.org/project/dopamine-rl) (π₯ 37K / month Β· π¦ 36 Β· β±οΈ 21.09.2022):
+ ```
+ pip install dopamine-rl
+ ```
+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):
```
git clone https://github.com/PaddlePaddle/PARL
```
-- [PyPi](https://pypi.org/project/parl) (π₯ 490 / month Β· π¦ 1 Β· β±οΈ 13.05.2022):
+- [PyPi](https://pypi.org/project/parl) (π₯ 480 / month Β· π¦ 1 Β· β±οΈ 13.05.2022):
```
pip install parl
```
@@ -5655,19 +5470,19 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/rlworkgroup/garage
```
-- [PyPi](https://pypi.org/project/garage) (π₯ 410 / month Β· π¦ 2 Β· β±οΈ 23.03.2021):
+- [PyPi](https://pypi.org/project/garage) (π₯ 480 / month Β· π¦ 2 Β· β±οΈ 23.03.2021):
```
pip install garage
```
RLax (π₯25 Β· β 1.1K) - A library of reinforcement learning building blocks in JAX. Apache-2
-- [GitHub](https://github.com/deepmind/rlax) (π¨βπ» 21 Β· π 76 Β· π¦ 160 Β· π 30 - 40% open Β· β±οΈ 15.08.2023):
+- [GitHub](https://github.com/deepmind/rlax) (π¨βπ» 21 Β· π 78 Β· π¦ 160 Β· π 30 - 40% open Β· β±οΈ 15.08.2023):
```
git clone https://github.com/deepmind/rlax
```
-- [PyPi](https://pypi.org/project/rlax) (π₯ 180K / month Β· π¦ 2 Β· β±οΈ 09.01.2023):
+- [PyPi](https://pypi.org/project/rlax) (π₯ 330K / month Β· π¦ 2 Β· β±οΈ 09.01.2023):
```
pip install rlax
```
@@ -5684,57 +5499,57 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
pip install stable-baselines
```
TensorForce (π₯23 Β· β 3.2K) - Tensorforce: a TensorFlow library for applied.. Apache-2
+ReAgent (π₯23 Β· β 3.4K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3
-- [GitHub](https://github.com/tensorforce/tensorforce) (π¨βπ» 83 Β· π 540 Β· π 660 - 4% open Β· β±οΈ 14.08.2023):
+- [GitHub](https://github.com/facebookresearch/ReAgent) (π¨βπ» 160 Β· π 490 Β· π 140 - 47% open Β· β±οΈ 05.09.2023):
```
- git clone https://github.com/tensorforce/tensorforce
+ git clone https://github.com/facebookresearch/ReAgent
```
-- [PyPi](https://pypi.org/project/tensorforce) (π₯ 540 / month Β· π¦ 2 Β· β±οΈ 30.08.2021):
+- [PyPi](https://pypi.org/project/reagent) (π₯ 18 / month Β· β±οΈ 27.05.2020):
```
- pip install tensorforce
+ pip install reagent
```
PFRL (π₯23 Β· β 1.1K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT
+TensorForce (π₯23 Β· β 3.2K) - Tensorforce: a TensorFlow library for applied.. Apache-2
-- [GitHub](https://github.com/pfnet/pfrl) (π¨βπ» 19 Β· π 140 Β· π¦ 88 Β· π 78 - 42% open Β· β±οΈ 16.07.2023):
+- [GitHub](https://github.com/tensorforce/tensorforce) (π¨βπ» 83 Β· π 540 Β· π 660 - 4% open Β· β±οΈ 14.08.2023):
```
- git clone https://github.com/pfnet/pfrl
+ git clone https://github.com/tensorforce/tensorforce
```
-- [PyPi](https://pypi.org/project/pfrl) (π₯ 410 / month Β· π¦ 1 Β· β±οΈ 16.07.2023):
+- [PyPi](https://pypi.org/project/tensorforce) (π₯ 520 / month Β· π¦ 2 Β· β±οΈ 30.08.2021):
```
- pip install pfrl
+ pip install tensorforce
```
ReAgent (π₯22 Β· β 3.4K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3
+PFRL (π₯23 Β· β 1.1K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT
-- [GitHub](https://github.com/facebookresearch/ReAgent) (π¨βπ» 160 Β· π 490 Β· π 140 - 47% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/pfnet/pfrl) (π¨βπ» 19 Β· π 140 Β· π¦ 90 Β· π 78 - 42% open Β· β±οΈ 16.07.2023):
```
- git clone https://github.com/facebookresearch/ReAgent
+ git clone https://github.com/pfnet/pfrl
```
-- [PyPi](https://pypi.org/project/reagent) (π₯ 19 / month Β· β±οΈ 27.05.2020):
+- [PyPi](https://pypi.org/project/pfrl) (π₯ 460 / month Β· π¦ 1 Β· β±οΈ 16.07.2023):
```
- pip install reagent
+ pip install pfrl
```
Coach (π₯20 Β· β 2.3K Β· π€) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2
-- [GitHub](https://github.com/IntelLabs/coach) (π¨βπ» 36 Β· π 440 Β· π 270 - 32% open Β· β±οΈ 11.12.2022):
+- [GitHub](https://github.com/IntelLabs/coach) (π¨βπ» 36 Β· π 450 Β· π 270 - 32% open Β· β±οΈ 11.12.2022):
```
git clone https://github.com/IntelLabs/coach
```
-- [PyPi](https://pypi.org/project/rl_coach) (π₯ 81 / month Β· π¦ 2 Β· β±οΈ 10.10.2019):
+- [PyPi](https://pypi.org/project/rl_coach) (π₯ 66 / month Β· π¦ 2 Β· β±οΈ 10.10.2019):
```
pip install rl_coach
```
rliable (π₯13 Β· β 610) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2
-- [GitHub](https://github.com/google-research/rliable) (π¨βπ» 6 Β· π 40 Β· π¦ 84 Β· π 13 - 15% open Β· β±οΈ 29.05.2023):
+- [GitHub](https://github.com/google-research/rliable) (π¨βπ» 6 Β· π 40 Β· π¦ 85 Β· π 13 - 15% open Β· β±οΈ 29.05.2023):
```
git clone https://github.com/google-research/rliable
@@ -5750,8 +5565,8 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
- keras-rl (π₯28 Β· β 5.4K Β· π) - Deep Reinforcement Learning for Keras. MIT 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
@@ -5764,40 +5579,40 @@ _Libraries for building and evaluating recommendation systems._
Recommenders (π₯34 Β· β 16K) - Best Practices on Recommendation Systems. MIT
-- [GitHub](https://github.com/recommenders-team/recommenders) (π¨βπ» 130 Β· π 2.8K Β· π₯ 430 Β· π¦ 80 Β· π 790 - 21% open Β· β±οΈ 05.07.2023):
+- [GitHub](https://github.com/recommenders-team/recommenders) (π¨βπ» 130 Β· π 2.8K Β· π₯ 430 Β· π¦ 80 Β· π 790 - 19% open Β· β±οΈ 31.08.2023):
```
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₯32 Β· β 3.2K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT
+implicit (π₯32 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₯ 540 Β· π¦ 1.1K Β· π 470 - 16% open Β· β±οΈ 25.08.2023):
+- [GitHub](https://github.com/benfred/implicit) (π¨βπ» 34 Β· π 600 Β· π₯ 550 Β· π¦ 1.1K Β· π 470 - 16% open Β· β±οΈ 25.08.2023):
```
git clone https://github.com/benfred/implicit
```
-- [PyPi](https://pypi.org/project/implicit) (π₯ 140K / month Β· π¦ 38 Β· β±οΈ 25.08.2023):
+- [PyPi](https://pypi.org/project/implicit) (π₯ 120K / month Β· π¦ 38 Β· β±οΈ 25.08.2023):
```
pip install implicit
```
-- [Conda](https://anaconda.org/conda-forge/implicit) (π₯ 520K Β· β±οΈ 26.08.2023):
+- [Conda](https://anaconda.org/conda-forge/implicit) (π₯ 530K Β· β±οΈ 26.08.2023):
```
conda install -c conda-forge implicit
```
lightfm (π₯31 Β· β 4.4K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2
+lightfm (π₯30 Β· β 4.4K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2
- [GitHub](https://github.com/lyst/lightfm) (π¨βπ» 47 Β· π 660 Β· π¦ 1.2K Β· π 490 - 27% open Β· β±οΈ 30.04.2023):
```
git clone https://github.com/lyst/lightfm
```
-- [PyPi](https://pypi.org/project/lightfm) (π₯ 500K / month Β· π¦ 47 Β· β±οΈ 27.11.2020):
+- [PyPi](https://pypi.org/project/lightfm) (π₯ 560K / month Β· π¦ 47 Β· β±οΈ 27.11.2020):
```
pip install lightfm
```
@@ -5806,33 +5621,33 @@ _Libraries for building and evaluating recommendation systems._
conda install -c conda-forge lightfm
```
TF Ranking (π₯29 Β· β 2.7K) - Learning to Rank in TensorFlow. Apache-2
+TF Recommenders (π₯29 Β· β 1.6K) - TensorFlow Recommenders is a library for building.. Apache-2
-- [GitHub](https://github.com/tensorflow/ranking) (π¨βπ» 32 Β· π 470 Β· π 320 - 25% open Β· β±οΈ 03.06.2023):
+- [GitHub](https://github.com/tensorflow/recommenders) (π¨βπ» 42 Β· π 240 Β· π¦ 250 Β· π 410 - 56% open Β· β±οΈ 08.08.2023):
```
- git clone https://github.com/tensorflow/ranking
+ git clone https://github.com/tensorflow/recommenders
```
-- [PyPi](https://pypi.org/project/tensorflow_ranking) (π₯ 120K / month Β· π¦ 13 Β· β±οΈ 11.08.2023):
+- [PyPi](https://pypi.org/project/tensorflow-recommenders) (π₯ 360K / month Β· π¦ 1 Β· β±οΈ 03.02.2023):
```
- pip install tensorflow_ranking
+ pip install tensorflow-recommenders
```
TF Recommenders (π₯29 Β· β 1.6K) - TensorFlow Recommenders is a library for building.. Apache-2
+TF Ranking (π₯28 Β· β 2.7K) - Learning to Rank in TensorFlow. 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 08.08.2023):
+- [GitHub](https://github.com/tensorflow/ranking) (π¨βπ» 32 Β· π 470 Β· π 320 - 25% open Β· β±οΈ 03.06.2023):
```
- git clone https://github.com/tensorflow/recommenders
+ git clone https://github.com/tensorflow/ranking
```
-- [PyPi](https://pypi.org/project/tensorflow-recommenders) (π₯ 360K / month Β· π¦ 1 Β· β±οΈ 03.02.2023):
+- [PyPi](https://pypi.org/project/tensorflow_ranking) (π₯ 110K / month Β· π¦ 13 Β· β±οΈ 11.08.2023):
```
- pip install tensorflow-recommenders
+ pip install tensorflow_ranking
```
scikit-surprise (π₯28 Β· β 5.9K Β· π€) - A Python scikit for building and analyzing recommender.. BSD-3
+scikit-surprise (π₯27 Β· β 5.9K Β· π€) - A Python scikit for building and analyzing recommender.. BSD-3
-- [GitHub](https://github.com/NicolasHug/Surprise) (π¨βπ» 45 Β· π 960 Β· π¦ 11 Β· π 380 - 19% open Β· β±οΈ 27.01.2023):
+- [GitHub](https://github.com/NicolasHug/Surprise) (π¨βπ» 45 Β· π 960 Β· π¦ 13 Β· π 380 - 19% open Β· β±οΈ 27.01.2023):
```
git clone https://github.com/NicolasHug/Surprise
@@ -5846,26 +5661,26 @@ _Libraries for building and evaluating recommendation systems._
conda install -c conda-forge scikit-surprise
```
torchrec (π₯28 Β· β 1.5K) - Pytorch domain library for recommendation systems. BSD-3
+torchrec (π₯27 Β· β 1.5K) - Pytorch domain library for recommendation systems. BSD-3
-- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 170 Β· π 280 Β· π¦ 60 Β· π 220 - 59% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 170 Β· π 270 Β· π¦ 62 Β· π 110 - 17% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/pytorch/torchrec
```
-- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (π₯ 35 / month Β· β±οΈ 12.05.2022):
+- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (π₯ 30 / month):
```
pip install torchrec-nightly-cpu
```
Cornac (π₯27 Β· β 740) - A Comparative Framework for Multimodal Recommender Systems. Apache-2
+Cornac (π₯27 Β· β 740) - A Comparative Framework for Multimodal Recommender Systems. Apache-2
-- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 17 Β· π 120 Β· π¦ 170 Β· π 130 - 7% open Β· β±οΈ 13.08.2023):
+- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 17 Β· π 120 Β· π¦ 170 Β· π 130 - 7% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/PreferredAI/cornac
```
-- [PyPi](https://pypi.org/project/cornac) (π₯ 97K / month Β· π¦ 16 Β· β±οΈ 22.07.2023):
+- [PyPi](https://pypi.org/project/cornac) (π₯ 100K / month Β· π¦ 16 Β· β±οΈ 22.07.2023):
```
pip install cornac
```
@@ -5881,7 +5696,7 @@ _Libraries for building and evaluating recommendation systems._
```
git clone https://github.com/RUCAIBox/RecBole
```
-- [PyPi](https://pypi.org/project/recbole) (π₯ 2.1K / month Β· π¦ 2 Β· β±οΈ 25.02.2022):
+- [PyPi](https://pypi.org/project/recbole) (π₯ 2.5K / month Β· π¦ 2 Β· β±οΈ 25.02.2022):
```
pip install recbole
```
@@ -5892,7 +5707,7 @@ _Libraries for building and evaluating recommendation systems._
recmetrics (π₯21 Β· β 530) - A library of metrics for evaluating recommender systems. MIT
-- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (π¨βπ» 20 Β· π 97 Β· π₯ 5 Β· π¦ 44 Β· π 28 - 46% open Β· β±οΈ 22.08.2023):
+- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (π¨βπ» 20 Β· π 97 Β· π₯ 5 Β· π¦ 45 Β· π 28 - 46% open Β· β±οΈ 22.08.2023):
```
git clone https://github.com/statisticianinstilettos/recmetrics
@@ -5904,13 +5719,13 @@ _Libraries for building and evaluating recommendation systems._
Show 7 hidden projects...
-- lkpy (π₯22 Β· β 240) - Python recommendation toolkit. MIT
- tensorrec (π₯21 Β· β 1.2K Β· π) - A TensorFlow recommendation algorithm and framework in.. Apache-2 BSD-3
-- Spotlight (π₯19 Β· β 2.9K Β· π) - Deep recommender models using PyTorch. MIT MIT
+- Spotlight (π₯18 Β· β 2.9K Β· π) - Deep recommender models using PyTorch. MIT MIT BSD-3 Apache-2
+- Collie (π₯15 Β· β 99) - A library for preparing, training, and evaluating scalable deep.. BSD-3 Apache-2
@@ -5922,24 +5737,24 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
PySyft (π₯35 Β· β 8.9K) - 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₯ 77 Β· π 3.5K - 4% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/OpenMined/PySyft) (π¨βπ» 500 Β· π 1.9K Β· π₯ 130 Β· π 3.5K - 4% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/OpenMined/PySyft
```
-- [PyPi](https://pypi.org/project/syft) (π₯ 4.9K / month Β· π¦ 5 Β· β±οΈ 31.08.2023):
+- [PyPi](https://pypi.org/project/syft) (π₯ 5.4K / month Β· π¦ 5 Β· β±οΈ 06.09.2023):
```
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¦ 640 Β· π 260 - 27% open Β· β±οΈ 01.08.2023):
+- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 73 Β· π 290 Β· π₯ 99 Β· π¦ 640 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₯ 31K / month Β· π¦ 17 Β· β±οΈ 06.05.2022):
+- [PyPi](https://pypi.org/project/opacus) (π₯ 30K / month Β· π¦ 17 Β· β±οΈ 06.05.2022):
```
pip install opacus
```
@@ -5950,7 +5765,7 @@ _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 - 54% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/tensorflow/privacy) (π¨βπ» 55 Β· π 430 Β· π₯ 120 Β· π 200 - 54% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/tensorflow/privacy
@@ -5960,7 +5775,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
pip install tensorflow-privacy
```
TFEncrypted (π₯24 Β· β 1.1K) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2
+TFEncrypted (π₯24 Β· β 1.2K Β· π€) - A Framework for Encrypted Machine Learning in.. Apache-2
- [GitHub](https://github.com/tf-encrypted/tf-encrypted) (π¨βπ» 29 Β· π 200 Β· π¦ 64 Β· π 430 - 32% open Β· β±οΈ 08.02.2023):
@@ -5979,12 +5794,12 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
```
git clone https://github.com/facebookresearch/CrypTen
```
-- [PyPi](https://pypi.org/project/crypten) (π₯ 260 / month Β· π¦ 1 Β· β±οΈ 08.12.2022):
+- [PyPi](https://pypi.org/project/crypten) (π₯ 250 / month Β· π¦ 1 Β· β±οΈ 08.12.2022):
```
pip install crypten
```
FATE (π₯22 Β· β 5.2K Β· π) - An Industrial Grade Federated Learning Framework. Apache-2
+FATE (π₯22 Β· β 5.2K) - An Industrial Grade Federated Learning Framework. Apache-2
- [GitHub](https://github.com/FederatedAI/FATE) (π¨βπ» 92 Β· π 1.5K Β· π 1.8K - 43% open Β· β±οΈ 14.06.2023):
@@ -6010,7 +5825,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (π₯44 Β· β 15K) - Open source platform for the machine learning lifecycle. Apache-2
-- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 630 Β· π 3.6K Β· π¦ 23K Β· π 3.3K - 37% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 630 Β· π 3.6K Β· π¦ 23K Β· π 3.3K - 37% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/mlflow/mlflow
@@ -6026,71 +5841,71 @@ _Libraries to organize, track, and visualize machine learning experiments._
Tensorboard (π₯43 Β· β 6.3K) - TensorFlows Visualization Toolkit. Apache-2
-- [GitHub](https://github.com/tensorflow/tensorboard) (π¨βπ» 300 Β· π 1.6K Β· π¦ 190K Β· π 1.8K - 34% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/tensorflow/tensorboard) (π¨βπ» 300 Β· π 1.6K Β· π¦ 190K Β· π 1.8K - 34% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/tensorflow/tensorboard
```
-- [PyPi](https://pypi.org/project/tensorboard) (π₯ 20M / month Β· π¦ 2.8K Β· β±οΈ 08.08.2023):
+- [PyPi](https://pypi.org/project/tensorboard) (π₯ 21M / month Β· π¦ 2.8K Β· β±οΈ 08.08.2023):
```
pip install tensorboard
```
-- [Conda](https://anaconda.org/conda-forge/tensorboard) (π₯ 4.2M Β· β±οΈ 09.08.2023):
+- [Conda](https://anaconda.org/conda-forge/tensorboard) (π₯ 4.3M Β· β±οΈ 09.08.2023):
```
conda install -c conda-forge tensorboard
```
DVC (π₯41 Β· β 12K) - Data Version Control | Git for Data & Models | ML Experiments Management. Apache-2
+wandb client (π₯41 Β· β 7.2K) - A tool for visualizing and tracking your machine learning.. MIT
-- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 280 Β· π 1.1K Β· π₯ 39K Β· π¦ 9.2K Β· π 4.4K - 12% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 160 Β· π 530 Β· π¦ 29K Β· π 2.7K - 26% open Β· β±οΈ 07.09.2023):
```
- git clone https://github.com/iterative/dvc
+ git clone https://github.com/wandb/client
```
-- [PyPi](https://pypi.org/project/dvc) (π₯ 710K / month Β· π¦ 68 Β· β±οΈ 29.08.2023):
+- [PyPi](https://pypi.org/project/wandb) (π₯ 6.7M / month):
```
- pip install dvc
+ pip install wandb
```
-- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 1.7M Β· β±οΈ 29.08.2023):
+- [Conda](https://anaconda.org/conda-forge/wandb) (π₯ 350K Β· β±οΈ 07.09.2023):
```
- conda install -c conda-forge dvc
+ conda install -c conda-forge wandb
```
wandb client (π₯41 Β· β 7.2K) - A tool for visualizing and tracking your machine learning.. MIT
+DVC (π₯40 Β· β 12K) - Data Version Control | Git for Data & Models | ML Experiments Management. Apache-2
-- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 160 Β· π 550 Β· π¦ 28K Β· π 2.7K - 26% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 290 Β· π 1.1K Β· π₯ 38K Β· π¦ 9.3K Β· π 4.5K - 12% open Β· β±οΈ 07.09.2023):
```
- git clone https://github.com/wandb/client
+ git clone https://github.com/iterative/dvc
```
-- [PyPi](https://pypi.org/project/wandb) (π₯ 6.5M / month Β· π¦ 560 Β· β±οΈ 28.08.2023):
+- [PyPi](https://pypi.org/project/dvc) (π₯ 720K / month Β· π¦ 81 Β· β±οΈ 07.09.2023):
```
- pip install wandb
+ pip install dvc
```
-- [Conda](https://anaconda.org/conda-forge/wandb) (π₯ 340K Β· β±οΈ 29.08.2023):
+- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 1.7M Β· β±οΈ 07.09.2023):
```
- conda install -c conda-forge wandb
+ 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» 390 Β· π 1K Β· π¦ 2.9K Β· π 1.3K - 36% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 390 Β· π 1K Β· π¦ 3K Β· π 1.3K - 36% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/aws/sagemaker-python-sdk
```
-- [PyPi](https://pypi.org/project/sagemaker) (π₯ 33M / month Β· π¦ 81 Β· β±οΈ 29.08.2023):
+- [PyPi](https://pypi.org/project/sagemaker) (π₯ 34M / month Β· π¦ 81 Β· β±οΈ 07.09.2023):
```
pip install sagemaker
```
-- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (π₯ 670K Β· β±οΈ 29.08.2023):
+- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (π₯ 680K Β· β±οΈ 07.09.2023):
```
conda install -c conda-forge sagemaker-python-sdk
```
PyCaret (π₯37 Β· β 7.7K) - An open-source, low-code machine learning library in Python. MIT
-- [GitHub](https://github.com/pycaret/pycaret) (π¨βπ» 120 Β· π 1.6K Β· π₯ 660 Β· π¦ 4.3K Β· π 2.1K - 13% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/pycaret/pycaret) (π¨βπ» 120 Β· π 1.6K Β· π₯ 660 Β· π¦ 4.3K Β· π 2.2K - 13% open Β· β±οΈ 30.08.2023):
```
git clone https://github.com/pycaret/pycaret
@@ -6099,19 +5914,19 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
pip install pycaret
```
-- [Conda](https://anaconda.org/conda-forge/pycaret) (π₯ 37K Β· β±οΈ 08.08.2023):
+- [Conda](https://anaconda.org/conda-forge/pycaret) (π₯ 38K Β· β±οΈ 08.08.2023):
```
conda install -c conda-forge pycaret
```
tensorboardX (π₯35 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¦ 34K Β· π 450 - 17% open Β· β±οΈ 20.08.2023):
+- [GitHub](https://github.com/lanpa/tensorboardX) (π¨βπ» 81 Β· π 870 Β· π₯ 400 Β· π¦ 34K Β· π 450 - 17% open Β· β±οΈ 03.09.2023):
```
git clone https://github.com/lanpa/tensorboardX
```
-- [PyPi](https://pypi.org/project/tensorboardX) (π₯ 2.4M / month Β· π¦ 980 Β· β±οΈ 20.08.2023):
+- [PyPi](https://pypi.org/project/tensorboardX) (π₯ 2.3M / month Β· π¦ 980 Β· β±οΈ 20.08.2023):
```
pip install tensorboardX
```
@@ -6122,7 +5937,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
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 25.08.2023):
+- [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 01.09.2023):
```
git clone https://github.com/Azure/MachineLearningNotebooks
@@ -6143,19 +5958,19 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
pip install snakemake
```
-- [Conda](https://anaconda.org/bioconda/snakemake) (π₯ 840K Β· β±οΈ 10.08.2023):
+- [Conda](https://anaconda.org/bioconda/snakemake) (π₯ 850K Β· β±οΈ 07.09.2023):
```
conda install -c bioconda snakemake
```
ClearML (π₯33 Β· β 4.7K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... Apache-2
-- [GitHub](https://github.com/allegroai/clearml) (π¨βπ» 84 Β· π 600 Β· π₯ 1.5K Β· π¦ 690 Β· π 870 - 42% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/allegroai/clearml) (π¨βπ» 84 Β· π 600 Β· π₯ 1.5K Β· π¦ 700 Β· π 870 - 42% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/allegroai/clearml
```
-- [PyPi](https://pypi.org/project/clearml) (π₯ 230K / month Β· π¦ 13 Β· β±οΈ 11.08.2023):
+- [PyPi](https://pypi.org/project/clearml) (π₯ 240K / month Β· π¦ 13 Β· β±οΈ 11.08.2023):
```
pip install clearml
```
@@ -6166,23 +5981,23 @@ _Libraries to organize, track, and visualize machine learning experiments._
aim (π₯33 Β· β 4.2K) - Aim An easy-to-use & supercharged open-source AI metadata tracker.. Apache-2
-- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 65 Β· π 250 Β· π¦ 300 Β· π 930 - 31% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 65 Β· π 250 Β· π¦ 300 Β· π 930 - 31% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/aimhubio/aim
```
-- [PyPi](https://pypi.org/project/aim) (π₯ 130K / month Β· π¦ 13 Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/aim) (π₯ 130K / month Β· π¦ 13 Β· β±οΈ 06.09.2023):
```
pip install aim
```
-- [Conda](https://anaconda.org/conda-forge/aim) (π₯ 37K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/aim) (π₯ 38K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge aim
```
Metaflow (π₯32 Β· β 6.9K) - Build and manage real-life data science projects with ease!. Apache-2
+Metaflow (π₯32 Β· β 7K) - Build and manage real-life data science projects with ease!. Apache-2
-- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 72 Β· π 660 Β· π¦ 520 Β· π 590 - 47% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 72 Β· π 660 Β· π¦ 520 Β· π 590 - 47% open Β· β±οΈ 05.09.2023):
```
git clone https://github.com/Netflix/metaflow
@@ -6198,7 +6013,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
kaggle (π₯31 Β· β 5.5K) - Official Kaggle API. Apache-2
-- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 37 Β· π 1K Β· π¦ 11 Β· π 400 - 30% open Β· β±οΈ 17.07.2023):
+- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 37 Β· π 1K Β· π¦ 13 Β· π 400 - 31% open Β· β±οΈ 17.07.2023):
```
git clone https://github.com/Kaggle/kaggle-api
@@ -6214,63 +6029,63 @@ _Libraries to organize, track, and visualize machine learning experiments._
VisualDL (π₯31 Β· β 4.6K) - Deep Learning Visualization Toolkit. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/VisualDL) (π¨βπ» 32 Β· π 630 Β· π₯ 320 Β· π¦ 2.2K Β· π 500 - 28% open Β· β±οΈ 04.05.2023):
+- [GitHub](https://github.com/PaddlePaddle/VisualDL) (π¨βπ» 32 Β· π 630 Β· π₯ 320 Β· π¦ 2.3K Β· π 500 - 28% open Β· β±οΈ 04.05.2023):
```
git clone https://github.com/PaddlePaddle/VisualDL
```
-- [PyPi](https://pypi.org/project/visualdl) (π₯ 140K / month Β· π¦ 40 Β· β±οΈ 05.06.2023):
+- [PyPi](https://pypi.org/project/visualdl) (π₯ 130K / month Β· π¦ 40 Β· β±οΈ 05.06.2023):
```
pip install visualdl
```
sacred (π₯29 Β· β 4.1K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT
+Neptune.ai (π₯30 Β· β 410) - The MLOps stack component for experiment tracking. Apache-2
-- [GitHub](https://github.com/IDSIA/sacred) (π¨βπ» 100 Β· π 370 Β· π¦ 2.5K Β· π 560 - 17% open Β· β±οΈ 19.06.2023):
+- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 49 Β· π 48 Β· π 230 - 16% open Β· β±οΈ 07.09.2023):
```
- git clone https://github.com/IDSIA/sacred
+ git clone https://github.com/neptune-ai/neptune-client
```
-- [PyPi](https://pypi.org/project/sacred) (π₯ 32K / month Β· π¦ 110 Β· β±οΈ 25.01.2023):
+- [PyPi](https://pypi.org/project/neptune-client) (π₯ 580K / month Β· π¦ 44 Β· β±οΈ 06.09.2023):
```
- pip install sacred
+ pip install neptune-client
```
-- [Conda](https://anaconda.org/conda-forge/sacred) (π₯ 3.9K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/neptune-client) (π₯ 210K Β· β±οΈ 06.09.2023):
```
- conda install -c conda-forge sacred
+ conda install -c conda-forge neptune-client
```
Neptune.ai (π₯29 Β· β 410) - The MLOps stack component for experiment tracking. Apache-2
+sacred (π₯28 Β· β 4.1K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT
-- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 49 Β· π 48 Β· π 230 - 15% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/IDSIA/sacred) (π¨βπ» 100 Β· π 370 Β· π¦ 2.6K Β· π 560 - 17% open Β· β±οΈ 19.06.2023):
```
- git clone https://github.com/neptune-ai/neptune-client
+ git clone https://github.com/IDSIA/sacred
```
-- [PyPi](https://pypi.org/project/neptune-client) (π₯ 570K / month Β· π¦ 44 Β· β±οΈ 31.08.2023):
+- [PyPi](https://pypi.org/project/sacred) (π₯ 32K / month Β· π¦ 110 Β· β±οΈ 25.01.2023):
```
- pip install neptune-client
+ pip install sacred
```
-- [Conda](https://anaconda.org/conda-forge/neptune-client) (π₯ 210K Β· β±οΈ 23.08.2023):
+- [Conda](https://anaconda.org/conda-forge/sacred) (π₯ 3.9K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge neptune-client
+ conda install -c conda-forge sacred
```
Labml (π₯27 Β· β 1.6K) - 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¦ 98 Β· π 39 - 48% open Β· β±οΈ 28.08.2023):
+- [GitHub](https://github.com/labmlai/labml) (π¨βπ» 9 Β· π 110 Β· π¦ 98 Β· π 39 - 48% open Β· β±οΈ 04.09.2023):
```
git clone https://github.com/labmlai/labml
```
-- [PyPi](https://pypi.org/project/labml) (π₯ 8.9K / month Β· π¦ 6 Β· β±οΈ 24.07.2023):
+- [PyPi](https://pypi.org/project/labml) (π₯ 9K / month Β· π¦ 6 Β· β±οΈ 24.07.2023):
```
pip install labml
```
ml-metadata (π₯27 Β· β 550) - For recording and retrieving metadata associated with ML.. Apache-2
-- [GitHub](https://github.com/google/ml-metadata) (π¨βπ» 17 Β· π 120 Β· π₯ 2.1K Β· π¦ 340 Β· π 100 - 26% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/google/ml-metadata) (π¨βπ» 17 Β· π 120 Β· π₯ 2.1K Β· π¦ 350 Β· π 100 - 26% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/google/ml-metadata
@@ -6280,40 +6095,40 @@ _Libraries to organize, track, and visualize machine learning experiments._
pip install ml-metadata
```
TNT (π₯26 Β· β 1.6K) - A lightweight library for PyTorch training tools and utilities. BSD-3
+quinn (π₯27 Β· β 510) - pyspark methods to enhance developer productivity. Apache-2
-- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 94 Β· π 240 Β· π 84 - 27% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/MrPowers/quinn) (π¨βπ» 21 Β· π 71 Β· π₯ 9 Β· π¦ 68 Β· π 67 - 52% open Β· β±οΈ 04.09.2023):
```
- git clone https://github.com/pytorch/tnt
+ git clone https://github.com/MrPowers/quinn
```
-- [PyPi](https://pypi.org/project/torchnet) (π₯ 5.7K / month Β· π¦ 38 Β· β±οΈ 29.07.2018):
+- [PyPi](https://pypi.org/project/quinn) (π₯ 830K / month Β· π¦ 6 Β· β±οΈ 17.02.2023):
```
- pip install torchnet
+ pip install quinn
```
Guild AI (π₯25 Β· β 810) - Experiment tracking, ML developer tools. Apache-2
+TNT (π₯26 Β· β 1.6K) - A lightweight library for PyTorch training tools and utilities. BSD-3
-- [GitHub](https://github.com/guildai/guildai) (π¨βπ» 29 Β· π 77 Β· π₯ 14 Β· π¦ 81 Β· π 430 - 49% open Β· β±οΈ 12.08.2023):
+- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 95 Β· π 240 Β· π 82 - 25% open Β· β±οΈ 07.09.2023):
```
- git clone https://github.com/guildai/guildai
+ git clone https://github.com/pytorch/tnt
```
-- [PyPi](https://pypi.org/project/guildai) (π₯ 670 / month Β· β±οΈ 11.05.2022):
+- [PyPi](https://pypi.org/project/torchnet) (π₯ 5.5K / month Β· π¦ 38 Β· β±οΈ 29.07.2018):
```
- pip install guildai
+ pip install torchnet
```
quinn (π₯24 Β· β 510) - pyspark methods to enhance developer productivity. Apache-2
+Guild AI (π₯25 Β· β 820) - Experiment tracking, ML developer tools. Apache-2
-- [GitHub](https://github.com/MrPowers/quinn) (π¨βπ» 16 Β· π 71 Β· π₯ 9 Β· π¦ 68 Β· π 65 - 53% open Β· β±οΈ 08.05.2023):
+- [GitHub](https://github.com/guildai/guildai) (π¨βπ» 29 Β· π 77 Β· π₯ 14 Β· π¦ 82 Β· π 430 - 49% open Β· β±οΈ 12.08.2023):
```
- git clone https://github.com/MrPowers/quinn
+ git clone https://github.com/guildai/guildai
```
-- [PyPi](https://pypi.org/project/quinn) (π₯ 820K / month Β· π¦ 6 Β· β±οΈ 17.02.2023):
+- [PyPi](https://pypi.org/project/guildai) (π₯ 960 / month Β· β±οΈ 11.05.2022):
```
- pip install quinn
+ pip install guildai
```
TensorWatch (π₯22 Β· β 3.3K) - Debugging, monitoring and visualization for Python Machine Learning.. MIT
@@ -6328,28 +6143,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
pip install tensorwatch
```
Studio.ml (π₯22 Β· β 380 Β· π€) - Studio: Simplify and expedite model building process. Apache-2
+lore (π₯21 Β· β 1.5K Β· π€) - Lore makes machine learning approachable for Software Engineers and.. MIT
-- [GitHub](https://github.com/studioml/studio) (π¨βπ» 22 Β· π 52 Β· π¦ 5 Β· π 250 - 22% open Β· β±οΈ 09.01.2023):
+- [GitHub](https://github.com/instacart/lore) (π¨βπ» 29 Β· π 130 Β· π¦ 20 Β· π 46 - 56% open Β· β±οΈ 27.09.2022):
```
- git clone https://github.com/studioml/studio
+ git clone https://github.com/instacart/lore
```
-- [PyPi](https://pypi.org/project/studioml) (π₯ 410 / month Β· β±οΈ 14.09.2021):
+- [PyPi](https://pypi.org/project/lore) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 02.02.2022):
```
- pip install studioml
+ pip install lore
```
lore (π₯21 Β· β 1.5K Β· π€) - Lore makes machine learning approachable for Software Engineers and.. MIT
+Studio.ml (π₯21 Β· β 380) - Studio: Simplify and expedite model building process. Apache-2
-- [GitHub](https://github.com/instacart/lore) (π¨βπ» 29 Β· π 130 Β· π¦ 20 Β· π 46 - 56% open Β· β±οΈ 27.09.2022):
+- [GitHub](https://github.com/studioml/studio) (π¨βπ» 22 Β· π 52 Β· π¦ 5 Β· π 250 - 22% open Β· β±οΈ 06.09.2023):
```
- git clone https://github.com/instacart/lore
+ git clone https://github.com/studioml/studio
```
-- [PyPi](https://pypi.org/project/lore) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 02.02.2022):
+- [PyPi](https://pypi.org/project/studioml) (π₯ 410 / month Β· β±οΈ 14.09.2021):
```
- pip install lore
+ pip install studioml
```
caliban (π₯16 Β· β 490) - Research workflows made easy, locally and in the Cloud. Apache-2
@@ -6359,7 +6174,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/google/caliban
```
-- [PyPi](https://pypi.org/project/caliban) (π₯ 25 / month Β· β±οΈ 12.09.2020):
+- [PyPi](https://pypi.org/project/caliban) (π₯ 30 / month Β· β±οΈ 12.09.2020):
```
pip install caliban
```
@@ -6368,15 +6183,15 @@ _Libraries to organize, track, and visualize machine learning experiments._
- Catalyst (π₯30 Β· β 3.2K Β· π) - Accelerated deep learning R&D. Apache-2 βοΈBSD-1-Clause MIT
-- livelossplot (π₯25 Β· β 1.3K Β· π) - Live training loss plot in Jupyter Notebook for Keras,.. MIT MIT
+- knockknock (π₯24 Β· β 2.6K Β· π) - Knock Knock: Get notified when your training ends with only two.. MIT
+- livelossplot (π₯23 Β· β 1.3K Β· π) - Live training loss plot in Jupyter Notebook for Keras,.. MIT MIT
- hiddenlayer (π₯22 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 Apache-2
-- chitra (π₯17 Β· β 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2
-- datmo (π₯16 Β· β 340 Β· π) - Open source production model management tool for data scientists. MIT
+- datmo (π₯16 Β· β 350 Β· π) - Open source production model management tool for data scientists. MIT
+- chitra (π₯16 Β· β 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2
- steppy (π₯16 Β· β 140 Β· π) - Lightweight, Python library for fast and reproducible experimentation. MIT
- ModelChimp (π₯13 Β· β 120 Β· π) - Experiment tracking for machine and deep learning projects. BSD-2
- traintool (π₯8 Β· β 12 Β· π) - Train off-the-shelf machine learning models in one.. Apache-2 onnx (π₯42 Β· β 15K) - Open standard for machine learning interoperability. Apache-2
-- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 290 Β· π 3.6K Β· π₯ 19K Β· π¦ 18K Β· π 2.5K - 13% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 290 Β· π 3.6K Β· π₯ 19K Β· π¦ 18K Β· π 2.5K - 13% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/onnx/onnx
```
-- [PyPi](https://pypi.org/project/onnx) (π₯ 2.9M / month Β· π¦ 570 Β· β±οΈ 25.08.2023):
+- [PyPi](https://pypi.org/project/onnx) (π₯ 3.2M / month Β· π¦ 570 Β· β±οΈ 25.08.2023):
```
pip install onnx
```
-- [Conda](https://anaconda.org/conda-forge/onnx) (π₯ 820K Β· β±οΈ 12.07.2023):
+- [Conda](https://anaconda.org/conda-forge/onnx) (π₯ 820K Β· β±οΈ 01.09.2023):
```
conda install -c conda-forge onnx
```
triton (π₯40 Β· β 8K) - Development repository for the Triton language and compiler. MIT
+triton (π₯41 Β· β 8.2K) - Development repository for the Triton language and compiler. MIT
-- [GitHub](https://github.com/openai/triton) (π¨βπ» 160 Β· π 850 Β· π¦ 6.6K Β· π 780 - 40% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/openai/triton) (π¨βπ» 170 Β· π 860 Β· π¦ 6.9K Β· π 790 - 40% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/openai/triton
```
-- [PyPi](https://pypi.org/project/triton) (π₯ 4.4M / month Β· π¦ 50 Β· β±οΈ 17.03.2023):
+- [PyPi](https://pypi.org/project/triton) (π₯ 4.5M / month Β· π¦ 51 Β· β±οΈ 01.09.2023):
```
pip install triton
```
BentoML (π₯35 Β· β 5.6K) - Build Production-Grade AI Applications. Apache-2
-- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 170 Β· π 620 Β· π₯ 2.1K Β· π¦ 1.2K Β· π 960 - 20% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 180 Β· π 630 Β· π₯ 2.1K Β· π¦ 1.2K Β· π 930 - 18% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/bentoml/BentoML
```
-- [PyPi](https://pypi.org/project/bentoml) (π₯ 110K / month Β· π¦ 11 Β· β±οΈ 29.08.2023):
+- [PyPi](https://pypi.org/project/bentoml) (π₯ 100K / month Β· π¦ 11 Β· β±οΈ 01.09.2023):
```
pip install bentoml
```
TorchServe (π₯34 Β· β 3.6K) - Serve, optimize and scale PyTorch models in production. Apache-2
+
+- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 170 Β· π 760 Β· π₯ 4.9K Β· π¦ 500 Β· π 1.4K - 21% open Β· β±οΈ 06.09.2023):
+
+ ```
+ git clone https://github.com/pytorch/serve
+ ```
+- [PyPi](https://pypi.org/project/torchserve) (π₯ 38K / month Β· π¦ 11 Β· β±οΈ 28.08.2023):
+ ```
+ pip install torchserve
+ ```
+- [Conda](https://anaconda.org/pytorch/torchserve) (π₯ 110K Β· β±οΈ 28.08.2023):
+ ```
+ conda install -c pytorch torchserve
+ ```
+- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (π₯ 1.2M Β· β 19 Β· β±οΈ 28.08.2023):
+ ```
+ docker pull pytorch/torchserve
+ ```
+huggingface_hub (π₯34 Β· β 1.1K) - All the open source things related to the Hugging Face Hub. Apache-2
-- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 100 Β· π 260 Β· π 560 - 22% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 100 Β· π 270 Β· π 560 - 19% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/huggingface/huggingface_hub
```
-- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 15M / month Β· π¦ 380 Β· β±οΈ 07.07.2023):
+- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 16M / month Β· π¦ 400 Β· β±οΈ 07.07.2023):
```
pip install huggingface_hub
```
@@ -6447,12 +6282,12 @@ _Libraries to serialize models to files, convert between a variety of model form
Core ML Tools (π₯33 Β· β 3.6K) - 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₯ 7.6K Β· π¦ 3.3K Β· π 1.2K - 19% open Β· β±οΈ 18.08.2023):
+- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 160 Β· π 550 Β· π₯ 7.6K Β· π¦ 3.3K Β· π 1.2K - 19% open Β· β±οΈ 05.09.2023):
```
git clone https://github.com/apple/coremltools
```
-- [PyPi](https://pypi.org/project/coremltools) (π₯ 160K / month Β· π¦ 160 Β· β±οΈ 15.08.2023):
+- [PyPi](https://pypi.org/project/coremltools) (π₯ 150K / month Β· π¦ 160 Β· β±οΈ 15.08.2023):
```
pip install coremltools
```
@@ -6461,24 +6296,16 @@ _Libraries to serialize models to files, convert between a variety of model form
conda install -c conda-forge coremltools
```
TorchServe (π₯32 Β· β 3.6K) - Serve, optimize and scale PyTorch models in production. Apache-2
+mmdnn (π₯26 Β· β 5.7K Β· π€) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT
-- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 170 Β· π 760 Β· π₯ 4.9K Β· π 1.4K - 21% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/microsoft/MMdnn) (π¨βπ» 86 Β· π 980 Β· π₯ 3.7K Β· π¦ 110 Β· π 630 - 53% open Β· β±οΈ 22.09.2022):
```
- git clone https://github.com/pytorch/serve
- ```
-- [PyPi](https://pypi.org/project/torchserve) (π₯ 38K / month Β· π¦ 11 Β· β±οΈ 28.08.2023):
- ```
- pip install torchserve
- ```
-- [Conda](https://anaconda.org/pytorch/torchserve) (π₯ 110K Β· β±οΈ 28.08.2023):
- ```
- conda install -c pytorch torchserve
+ git clone https://github.com/Microsoft/MMdnn
```
-- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (π₯ 1.2M Β· β 19 Β· β±οΈ 28.08.2023):
+- [PyPi](https://pypi.org/project/mmdnn) (π₯ 350 / month Β· π¦ 3 Β· β±οΈ 24.07.2020):
```
- docker pull pytorch/torchserve
+ pip install mmdnn
```
Hummingbird (π₯26 Β· β 3.2K) - Hummingbird compiles trained ML models into tensor computation for.. MIT
@@ -6488,7 +6315,7 @@ _Libraries to serialize models to files, convert between a variety of model form
```
git clone https://github.com/microsoft/hummingbird
```
-- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 8.6K / month Β· π¦ 3 Β· β±οΈ 10.06.2020):
+- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 8.4K / month Β· π¦ 3 Β· β±οΈ 10.06.2020):
```
pip install hummingbird-ml
```
@@ -6497,54 +6324,30 @@ _Libraries to serialize models to files, convert between a variety of model form
conda install -c conda-forge hummingbird-ml
```
cortex (π₯25 Β· β 8K) - Production infrastructure for machine learning at scale. Apache-2
-
-- [GitHub](https://github.com/cortexlabs/cortex) (π¨βπ» 24 Β· π 610 Β· π 1.1K - 10% open Β· β±οΈ 04.03.2023):
-
- ```
- git clone https://github.com/cortexlabs/cortex
- ```
-- [PyPi](https://pypi.org/project/cortex) (π₯ 9K / month Β· π¦ 1 Β· β±οΈ 23.09.2022):
- ```
- pip install cortex
- ```
-mmdnn (π₯25 Β· β 5.7K Β· π€) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT
-
-- [GitHub](https://github.com/microsoft/MMdnn) (π¨βπ» 86 Β· π 980 Β· π₯ 3.7K Β· π¦ 110 Β· π 630 - 53% open Β· β±οΈ 22.09.2022):
-
- ```
- git clone https://github.com/Microsoft/MMdnn
- ```
-- [PyPi](https://pypi.org/project/mmdnn) (π₯ 390 / month Β· π¦ 3 Β· β±οΈ 24.07.2020):
- ```
- pip install mmdnn
- ```
-hls4ml (π₯25 Β· β 910) - Machine learning on FPGAs using HLS. Apache-2
+hls4ml (π₯25 Β· β 910) - 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 28.08.2023):
+- [GitHub](https://github.com/fastmachinelearning/hls4ml) (π¨βπ» 55 Β· π 340 Β· π 380 - 36% open Β· β±οΈ 05.09.2023):
```
git clone https://github.com/fastmachinelearning/hls4ml
```
-- [PyPi](https://pypi.org/project/hls4ml) (π₯ 470 / month Β· β±οΈ 12.11.2021):
+- [PyPi](https://pypi.org/project/hls4ml) (π₯ 490 / month Β· β±οΈ 12.11.2021):
```
pip install hls4ml
```
-- [Conda](https://anaconda.org/conda-forge/hls4ml) (π₯ 6.6K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/hls4ml) (π₯ 6.7K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge hls4ml
```
m2cgen (π₯24 Β· β 2.6K Β· π€) - Transform ML models into a native code (Java, C, Python, Go,.. MIT
-- [GitHub](https://github.com/BayesWitnesses/m2cgen) (π¨βπ» 14 Β· π 220 Β· π₯ 54 Β· π¦ 150 Β· π 120 - 39% open Β· β±οΈ 05.10.2022):
+- [GitHub](https://github.com/BayesWitnesses/m2cgen) (π¨βπ» 14 Β· π 210 Β· π₯ 54 Β· π¦ 150 Β· π 100 - 30% open Β· β±οΈ 05.10.2022):
```
git clone https://github.com/BayesWitnesses/m2cgen
```
-- [PyPi](https://pypi.org/project/m2cgen) (π₯ 12K / month Β· π¦ 3 Β· β±οΈ 26.04.2022):
+- [PyPi](https://pypi.org/project/m2cgen) (π₯ 10K / month):
```
pip install m2cgen
```
@@ -6556,21 +6359,33 @@ _Libraries to serialize models to files, convert between a variety of model form
```
git clone https://github.com/nebuly-ai/nebullvm
```
-- [PyPi](https://pypi.org/project/nebullvm) (π₯ 530 / month Β· π¦ 2 Β· β±οΈ 18.06.2023):
+- [PyPi](https://pypi.org/project/nebullvm) (π₯ 480 / month Β· π¦ 2 Β· β±οΈ 18.06.2023):
```
pip install nebullvm
```
cortex (π₯23 Β· β 8K) - Production infrastructure for machine learning at scale. Apache-2
+
+- [GitHub](https://github.com/cortexlabs/cortex) (π¨βπ» 24 Β· π 610 Β· π 1.1K - 10% open Β· β±οΈ 04.03.2023):
+
+ ```
+ git clone https://github.com/cortexlabs/cortex
+ ```
+- [PyPi](https://pypi.org/project/cortex) (π₯ 6.8K / month Β· π¦ 1 Β· β±οΈ 23.09.2022):
+ ```
+ pip install cortex
+ ```
+Show 8 hidden projects...
- sklearn-porter (π₯23 Β· β 1.2K Β· π) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 Apache-2
- pytorch2keras (π₯19 Β· β 840 Β· π) - PyTorch to Keras model convertor. MIT
-- OMLT (π₯17 Β· β 210) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3
- tfdeploy (π₯16 Β· β 350 Β· π) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 MIT
+- modelkit (π₯15 Β· β 150) - Toolkit for developing and maintaining ML models. MIT
+- ml-ane-transformers (π₯14 Β· β 2.3K Β· π) - Reference implementation of the Transformer.. βUnlicensed Apache-2
-- ml-ane-transformers (π₯13 Β· β 2.3K Β· π€) - Reference implementation of the Transformer.. βUnlicensed βUnlicensed
@@ -6582,12 +6397,12 @@ _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¦ 13K Β· π 2.3K - 61% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/shap/shap) (π¨βπ» 220 Β· π 2.9K Β· π¦ 13K Β· π 2.3K - 60% open Β· β±οΈ 05.09.2023):
```
git clone https://github.com/slundberg/shap
```
-- [PyPi](https://pypi.org/project/shap) (π₯ 7.1M / month Β· π¦ 400 Β· β±οΈ 15.07.2023):
+- [PyPi](https://pypi.org/project/shap) (π₯ 7.1M / month):
```
pip install shap
```
@@ -6607,43 +6422,59 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
pip install arviz
```
-- [Conda](https://anaconda.org/conda-forge/arviz) (π₯ 1.9M Β· β±οΈ 19.07.2023):
+- [Conda](https://anaconda.org/conda-forge/arviz) (π₯ 2M Β· β±οΈ 19.07.2023):
```
conda install -c conda-forge arviz
```
Netron (π₯34 Β· β 24K) - Visualizer for neural network, deep learning, and machine.. MIT
+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¦ 510 Β· π 380 - 16% open Β· β±οΈ 28.08.2023):
+
+ ```
+ git clone https://github.com/interpretml/interpret
+ ```
+- [PyPi](https://pypi.org/project/interpret) (π₯ 54K / month):
+ ```
+ pip install interpret
+ ```
+Netron (π₯32 Β· β 24K) - Visualizer for neural network, deep learning, and machine.. MIT
-- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.5K Β· π₯ 120K Β· π¦ 10 Β· π 980 - 2% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/lutzroeder/netron) (π 2.5K Β· π₯ 29K Β· π¦ 10 Β· π 970 - 2% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/lutzroeder/netron
```
-- [PyPi](https://pypi.org/project/netron) (π₯ 17K / month Β· π¦ 73 Β· β±οΈ 25.08.2023):
+- [PyPi](https://pypi.org/project/netron) (π₯ 17K / month):
```
pip install netron
```
InterpretML (π₯33 Β· β 5.7K) - Fit interpretable models. Explain blackbox machine learning. MIT
+DoWhy (π₯31 Β· β 6.1K) - DoWhy is a Python library for causal inference that supports explicit.. MIT
-- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 39 Β· π 680 Β· π¦ 500 Β· π 380 - 16% open Β· β±οΈ 28.08.2023):
+- [GitHub](https://github.com/py-why/dowhy) (π¨βπ» 81 Β· π 850 Β· π₯ 33 Β· π¦ 280 Β· π 400 - 28% open Β· β±οΈ 04.09.2023):
```
- git clone https://github.com/interpretml/interpret
+ git clone https://github.com/py-why/dowhy
```
-- [PyPi](https://pypi.org/project/interpret) (π₯ 57K / month Β· π¦ 28 Β· β±οΈ 26.08.2023):
+- [PyPi](https://pypi.org/project/dowhy) (π₯ 41K / month):
```
- pip install interpret
+ pip install dowhy
+ ```
+- [Conda](https://anaconda.org/conda-forge/dowhy) (π₯ 16K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge dowhy
```
Captum (π₯31 Β· β 4.1K) - Model interpretability and understanding for PyTorch. BSD-3
-- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 100 Β· π 440 Β· π¦ 1.4K Β· π 500 - 35% open Β· β±οΈ 08.07.2023):
+- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 100 Β· π 430 Β· π¦ 1.4K Β· π 470 - 31% open Β· β±οΈ 08.07.2023):
```
git clone https://github.com/pytorch/captum
```
-- [PyPi](https://pypi.org/project/captum) (π₯ 150K / month Β· π¦ 46 Β· β±οΈ 27.12.2022):
+- [PyPi](https://pypi.org/project/captum) (π₯ 150K / month):
```
pip install captum
```
@@ -6654,36 +6485,20 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
pyLDAvis (π₯31 Β· β 1.7K) - Python library for interactive topic model visualization. Port of.. BSD-3
-- [GitHub](https://github.com/bmabey/pyLDAvis) (π¨βπ» 39 Β· π 360 Β· π¦ 5.3K Β· π 180 - 45% open Β· β±οΈ 24.04.2023):
+- [GitHub](https://github.com/bmabey/pyLDAvis) (π¨βπ» 39 Β· π 350 Β· π¦ 5.3K 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₯ 290K / month Β· π¦ 160 Β· β±οΈ 24.03.2021):
+- [PyPi](https://pypi.org/project/pyldavis) (π₯ 290K / month):
```
pip install pyldavis
```
-- [Conda](https://anaconda.org/conda-forge/pyldavis) (π₯ 72K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pyldavis) (π₯ 73K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge pyldavis
```
DoWhy (π₯30 Β· β 6.1K) - DoWhy is a Python library for causal inference that supports explicit.. MIT
-
-- [GitHub](https://github.com/py-why/dowhy) (π¨βπ» 80 Β· π 860 Β· π₯ 33 Β· π¦ 280 Β· π 400 - 29% open Β· β±οΈ 28.08.2023):
-
- ```
- git clone https://github.com/py-why/dowhy
- ```
-- [PyPi](https://pypi.org/project/dowhy) (π₯ 42K / month Β· π¦ 7 Β· β±οΈ 30.07.2023):
- ```
- pip install dowhy
- ```
-- [Conda](https://anaconda.org/conda-forge/dowhy) (π₯ 16K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge dowhy
- ```
-dtreeviz (π₯30 Β· β 2.6K) - A python library for decision tree visualization and model interpretation. MIT
- [GitHub](https://github.com/parrt/dtreeviz) (π¨βπ» 25 Β· π 320 Β· π¦ 880 Β· π 190 - 29% open Β· β±οΈ 13.07.2023):
@@ -6702,12 +6517,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
explainerdashboard (π₯30 Β· β 2K) - Quickly build Explainable AI dashboards that show the inner.. MIT
-- [GitHub](https://github.com/oegedijk/explainerdashboard) (π¨βπ» 20 Β· π 270 Β· π¦ 360 Β· π 220 - 11% open Β· β±οΈ 01.08.2023):
+- [GitHub](https://github.com/oegedijk/explainerdashboard) (π¨βπ» 20 Β· π 280 Β· π¦ 360 Β· π 220 - 11% open Β· β±οΈ 01.08.2023):
```
git clone https://github.com/oegedijk/explainerdashboard
```
-- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 34K / month Β· π¦ 9 Β· β±οΈ 01.08.2023):
+- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 31K / month):
```
pip install explainerdashboard
```
@@ -6718,12 +6533,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Alibi (π₯29 Β· β 2.1K) - Algorithms for explaining machine learning models. Apache-2
-- [GitHub](https://github.com/SeldonIO/alibi) (π¨βπ» 18 Β· π 230 Β· π¦ 510 Β· π 350 - 37% open Β· β±οΈ 01.08.2023):
+- [GitHub](https://github.com/SeldonIO/alibi) (π¨βπ» 18 Β· π 220 Β· π¦ 510 Β· π 350 - 37% open Β· β±οΈ 01.08.2023):
```
git clone https://github.com/SeldonIO/alibi
```
-- [PyPi](https://pypi.org/project/alibi) (π₯ 16K / month Β· π¦ 25 Β· β±οΈ 07.07.2023):
+- [PyPi](https://pypi.org/project/alibi) (π₯ 16K / month):
```
pip install alibi
```
@@ -6746,60 +6561,48 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
evaluate (π₯29 Β· β 1.5K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2
-- [GitHub](https://github.com/huggingface/evaluate) (π¨βπ» 120 Β· π 170 Β· π¦ 3.5K Β· π 220 - 47% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/huggingface/evaluate) (π¨βπ» 120 Β· π 170 Β· π¦ 3.6K Β· π 220 - 47% open Β· β±οΈ 31.08.2023):
```
git clone https://github.com/huggingface/evaluate
```
-- [PyPi](https://pypi.org/project/evaluate) (π₯ 790K / month Β· π¦ 99 Β· β±οΈ 13.12.2022):
+- [PyPi](https://pypi.org/project/evaluate) (π₯ 880K / month Β· π¦ 99 Β· β±οΈ 13.12.2022):
```
pip install evaluate
```
Model Analysis (π₯29 Β· β 1.2K) - Model analysis tools for TensorFlow. Apache-2
-
-- [GitHub](https://github.com/tensorflow/model-analysis) (π¨βπ» 55 Β· π 270 Β· π 86 - 39% open Β· β±οΈ 28.08.2023):
-
- ```
- git clone https://github.com/tensorflow/model-analysis
- ```
-- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 220K / month Β· π¦ 23 Β· β±οΈ 14.08.2023):
- ```
- pip install tensorflow-model-analysis
- ```
-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 100 Β· π¦ 52 Β· π 75 - 33% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/csinva/imodels) (π¨βπ» 22 Β· π 100 Β· π¦ 52 Β· π 73 - 31% open Β· β±οΈ 03.09.2023):
```
git clone https://github.com/csinva/imodels
```
-- [PyPi](https://pypi.org/project/imodels) (π₯ 130K / month Β· π¦ 4 Β· β±οΈ 22.08.2023):
+- [PyPi](https://pypi.org/project/imodels) (π₯ 130K / month):
```
pip install imodels
```
responsible-ai-widgets (π₯29 Β· β 940) - Responsible AI Toolbox is a suite of tools providing.. MIT
+responsible-ai-widgets (π₯29 Β· β 950) - Responsible AI Toolbox is a suite of tools providing.. MIT
-- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (π¨βπ» 38 Β· π 250 Β· π¦ 65 Β· π 300 - 26% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (π¨βπ» 38 Β· π 240 Β· π¦ 65 Β· π 270 - 16% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/microsoft/responsible-ai-toolbox
```
-- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 7.3K / month Β· π¦ 3 Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 6.8K / month):
```
pip install raiwidgets
```
shapash (π₯28 Β· β 2.4K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2
-- [GitHub](https://github.com/MAIF/shapash) (π¨βπ» 35 Β· π 290 Β· π¦ 120 Β· π 170 - 18% open Β· β±οΈ 22.08.2023):
+- [GitHub](https://github.com/MAIF/shapash) (π¨βπ» 35 Β· π 280 Β· π¦ 120 Β· π 160 - 17% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/MAIF/shapash
```
-- [PyPi](https://pypi.org/project/shapash) (π₯ 4.3K / month Β· π¦ 2 Β· β±οΈ 25.07.2023):
+- [PyPi](https://pypi.org/project/shapash) (π₯ 4.6K / month):
```
pip install shapash
```
@@ -6811,7 +6614,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/quantumblacklabs/causalnex
```
-- [PyPi](https://pypi.org/project/causalnex) (π₯ 9K / month Β· π¦ 3 Β· β±οΈ 11.11.2021):
+- [PyPi](https://pypi.org/project/causalnex) (π₯ 9.5K / month Β· π¦ 3 Β· β±οΈ 11.11.2021):
```
pip install causalnex
```
@@ -6823,35 +6626,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/Trusted-AI/AIX360
```
-- [PyPi](https://pypi.org/project/aix360) (π₯ 540 / month Β· π¦ 1 Β· β±οΈ 31.07.2023):
+- [PyPi](https://pypi.org/project/aix360) (π₯ 430 / month Β· π¦ 1 Β· β±οΈ 31.07.2023):
```
pip install aix360
```
yellowbrick (π₯26 Β· β 4.1K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2
+Model Analysis (π₯27 Β· β 1.2K) - Model analysis tools for TensorFlow. 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):
+- [GitHub](https://github.com/tensorflow/model-analysis) (π¨βπ» 55 Β· π 250 Β· π 73 - 28% open Β· β±οΈ 07.09.2023):
```
- git clone https://github.com/DistrictDataLabs/yellowbrick
- ```
-- [PyPi](https://pypi.org/project/yellowbrick) (π₯ 400K / month Β· π¦ 79 Β· β±οΈ 21.08.2022):
- ```
- pip install yellowbrick
+ git clone https://github.com/tensorflow/model-analysis
```
-- [Conda](https://anaconda.org/conda-forge/yellowbrick) (π₯ 67K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 200K / month):
```
- conda install -c conda-forge yellowbrick
+ pip install tensorflow-model-analysis
```
Fairness 360 (π₯26 Β· β 2.1K) - A comprehensive set of fairness metrics for datasets and.. Apache-2
+Fairness 360 (π₯26 Β· β 2.1K) - A comprehensive set of fairness metrics for datasets and.. Apache-2
-- [GitHub](https://github.com/Trusted-AI/AIF360) (π¨βπ» 66 Β· π 710 Β· π¦ 290 Β· π 260 - 64% open Β· β±οΈ 27.07.2023):
+- [GitHub](https://github.com/Trusted-AI/AIF360) (π¨βπ» 66 Β· π 710 Β· π¦ 300 Β· π 260 - 64% open Β· β±οΈ 27.07.2023):
```
git clone https://github.com/Trusted-AI/AIF360
```
-- [PyPi](https://pypi.org/project/aif360) (π₯ 5K / month Β· π¦ 12 Β· β±οΈ 04.03.2021):
+- [PyPi](https://pypi.org/project/aif360) (π₯ 5.3K / month Β· π¦ 12 Β· β±οΈ 04.03.2021):
```
pip install aif360
```
@@ -6860,82 +6659,98 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge aif360
```
iNNvestigate (π₯26 Β· β 1.2K) - A toolbox to iNNvestigate neural networks predictions!. BSD-2
+iNNvestigate (π₯25 Β· β 1.2K) - A toolbox to iNNvestigate neural networks predictions!. BSD-2
- [GitHub](https://github.com/albermax/innvestigate) (π¨βπ» 20 Β· π 240 Β· π₯ 79 Β· π¦ 110 Β· π 250 - 20% open Β· β±οΈ 13.06.2023):
```
git clone https://github.com/albermax/innvestigate
```
-- [PyPi](https://pypi.org/project/innvestigate) (π₯ 640 / month Β· π¦ 2 Β· β±οΈ 31.01.2023):
+- [PyPi](https://pypi.org/project/innvestigate) (π₯ 620 / month Β· π¦ 2 Β· β±οΈ 31.01.2023):
```
pip install innvestigate
```
checklist (π₯25 Β· β 1.9K Β· π€) - Beyond Accuracy: Behavioral Testing of NLP models with.. MIT
+DiCE (π₯25 Β· β 1.1K) - Generate Diverse Counterfactual Explanations for any machine.. MIT
+
+- [GitHub](https://github.com/interpretml/DiCE) (π¨βπ» 18 Β· π 170 Β· π 160 - 41% open Β· β±οΈ 07.09.2023):
+
+ ```
+ git clone https://github.com/interpretml/DiCE
+ ```
+- [PyPi](https://pypi.org/project/dice-ml) (π₯ 110K / month Β· π¦ 5 Β· β±οΈ 02.06.2022):
+ ```
+ pip install dice-ml
+ ```
+yellowbrick (π₯23 Β· β 4.1K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2
-- [GitHub](https://github.com/marcotcr/checklist) (π¨βπ» 13 Β· π 190 Β· π¦ 270 Β· π 120 - 29% open Β· β±οΈ 12.08.2022):
+- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (π¨βπ» 110 Β· π 530 Β· π 690 - 11% open Β· β±οΈ 05.07.2023):
```
- git clone https://github.com/marcotcr/checklist
+ git clone https://github.com/DistrictDataLabs/yellowbrick
```
-- [PyPi](https://pypi.org/project/checklist) (π₯ 3.3K / month Β· π¦ 7 Β· β±οΈ 24.05.2021):
+- [PyPi](https://pypi.org/project/yellowbrick) (π₯ 390K / month):
```
- pip install checklist
+ pip install yellowbrick
```
-- [Conda](https://anaconda.org/conda-forge/checklist) (π₯ 6.2K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/yellowbrick) (π₯ 68K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge checklist
+ conda install -c conda-forge yellowbrick
```
DiCE (π₯24 Β· β 1.1K) - Generate Diverse Counterfactual Explanations for any machine.. MIT
+LIT (π₯23 Β· β 3.2K Β· π€) - The Learning Interpretability Tool: Interactively analyze ML models.. Apache-2
-- [GitHub](https://github.com/interpretml/DiCE) (π¨βπ» 18 Β· π 170 Β· π 160 - 41% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/PAIR-code/lit) (π¨βπ» 27 Β· π 330 Β· π¦ 23 Β· π 120 - 35% open Β· β±οΈ 02.12.2022):
```
- git clone https://github.com/interpretml/DiCE
+ git clone https://github.com/PAIR-code/lit
```
-- [PyPi](https://pypi.org/project/dice-ml) (π₯ 110K / month Β· π¦ 5 Β· β±οΈ 02.06.2022):
+- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 1.1K / month):
```
- pip install dice-ml
+ pip install lit-nlp
+ ```
+- [Conda](https://anaconda.org/conda-forge/lit-nlp) (π₯ 64K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge lit-nlp
```
keract (π₯24 Β· β 1K) - Layers Outputs and Gradients in Keras. Made easy. MIT
+keract (π₯23 Β· β 1K) - Layers Outputs and Gradients in Keras. Made easy. MIT
-- [GitHub](https://github.com/philipperemy/keract) (π¨βπ» 16 Β· π 180 Β· π¦ 190 Β· π 89 - 3% open Β· β±οΈ 08.08.2023):
+- [GitHub](https://github.com/philipperemy/keract) (π¨βπ» 16 Β· π 180 Β· π¦ 190 Β· π 88 - 2% open Β· β±οΈ 08.08.2023):
```
git clone https://github.com/philipperemy/keract
```
-- [PyPi](https://pypi.org/project/keract) (π₯ 4.3K / month Β· π¦ 9 Β· β±οΈ 25.09.2022):
+- [PyPi](https://pypi.org/project/keract) (π₯ 4.2K / month):
```
pip install keract
```
LIT (π₯23 Β· β 3.2K Β· π€) - The Learning Interpretability Tool: Interactively analyze ML models.. 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/lit) (π¨βπ» 27 Β· π 330 Β· π¦ 23 Β· π 160 - 53% open Β· β±οΈ 02.12.2022):
+- [GitHub](https://github.com/jalammar/ecco) (π¨βπ» 11 Β· π 140 Β· π₯ 65 Β· π¦ 26 Β· π 57 - 45% open Β· β±οΈ 10.08.2023):
```
- git clone https://github.com/PAIR-code/lit
+ git clone https://github.com/jalammar/ecco
```
-- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 1.1K / month Β· π¦ 1 Β· β±οΈ 02.12.2022):
+- [PyPi](https://pypi.org/project/ecco) (π₯ 690 / month):
```
- pip install lit-nlp
+ pip install ecco
```
-- [Conda](https://anaconda.org/conda-forge/lit-nlp) (π₯ 64K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ecco) (π₯ 3.9K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge lit-nlp
+ conda install -c conda-forge ecco
```
What-If Tool (π₯23 Β· β 830) - Source code/webpage/demos for the What-If Tool. Apache-2
+What-If Tool (π₯21 Β· β 830) - Source code/webpage/demos for the What-If Tool. Apache-2
-- [GitHub](https://github.com/PAIR-code/what-if-tool) (π¨βπ» 20 Β· π 150 Β· π 140 - 58% open Β· β±οΈ 27.04.2023):
+- [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/PAIR-code/what-if-tool
```
-- [PyPi](https://pypi.org/project/witwidget) (π₯ 8.8K / month Β· π¦ 4 Β· β±οΈ 12.10.2021):
+- [PyPi](https://pypi.org/project/witwidget) (π₯ 8.4K / month):
```
pip install witwidget
```
@@ -6943,49 +6758,33 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
conda install -c conda-forge tensorboard-plugin-wit
```
-- [npm](https://www.npmjs.com/package/wit-widget) (π₯ 780 / month Β· π¦ 1 Β· β±οΈ 12.10.2021):
+- [npm](https://www.npmjs.com/package/wit-widget) (π₯ 850 / month):
```
npm install wit-widget
```
model-card-toolkit (π₯22 Β· β 380) - 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¦ 19 Β· π 33 - 30% 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₯ 1.2K / month Β· π¦ 1 Β· β±οΈ 28.04.2022):
- ```
- pip install model-card-toolkit
- ```
-ecco (π₯21 Β· β 1.8K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3
+aequitas (π₯21 Β· β 560) - Bias and Fairness Audit Toolkit. MIT
-- [GitHub](https://github.com/jalammar/ecco) (π¨βπ» 11 Β· π 140 Β· π₯ 65 Β· π¦ 26 Β· π 56 - 44% open Β· β±οΈ 10.08.2023):
+- [GitHub](https://github.com/dssg/aequitas) (π¨βπ» 18 Β· π 97 Β· π¦ 140 Β· π 71 - 67% open Β· β±οΈ 20.08.2023):
```
- git clone https://github.com/jalammar/ecco
- ```
-- [PyPi](https://pypi.org/project/ecco) (π₯ 790 / month Β· π¦ 1 Β· β±οΈ 09.01.2022):
- ```
- pip install ecco
+ git clone https://github.com/dssg/aequitas
```
-- [Conda](https://anaconda.org/conda-forge/ecco) (π₯ 3.9K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/aequitas) (π₯ 1.9K / month Β· π¦ 6 Β· β±οΈ 16.12.2020):
```
- conda install -c conda-forge ecco
+ pip install aequitas
```
aequitas (π₯21 Β· β 560) - Bias and Fairness Audit Toolkit. MIT
+model-card-toolkit (π₯21 Β· β 380) - A toolkit that streamlines and automates the generation.. Apache-2
-- [GitHub](https://github.com/dssg/aequitas) (π¨βπ» 18 Β· π 96 Β· π¦ 140 Β· π 71 - 67% open Β· β±οΈ 20.08.2023):
+- [GitHub](https://github.com/tensorflow/model-card-toolkit) (π¨βπ» 22 Β· π 79 Β· π₯ 8 Β· π¦ 19 Β· π 33 - 30% open Β· β±οΈ 26.07.2023):
```
- git clone https://github.com/dssg/aequitas
+ git clone https://github.com/tensorflow/model-card-toolkit
```
-- [PyPi](https://pypi.org/project/aequitas) (π₯ 2K / month Β· π¦ 6 Β· β±οΈ 16.12.2020):
+- [PyPi](https://pypi.org/project/model-card-toolkit) (π₯ 940 / month Β· π¦ 1 Β· β±οΈ 28.04.2022):
```
- pip install aequitas
+ pip install model-card-toolkit
```
fairness-indicators (π₯19 Β· β 320) - Tensorflows Fairness Evaluation and Visualization.. Apache-2
@@ -6995,7 +6794,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/tensorflow/fairness-indicators
```
-- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 2.3K / month Β· β±οΈ 13.12.2022):
+- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 2.5K / month Β· β±οΈ 13.12.2022):
```
pip install fairness-indicators
```
@@ -7007,23 +6806,11 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/aerdem4/lofo-importance
```
-- [PyPi](https://pypi.org/project/lofo-importance) (π₯ 800 / month Β· π¦ 2 Β· β±οΈ 27.04.2022):
+- [PyPi](https://pypi.org/project/lofo-importance) (π₯ 880 / month Β· π¦ 2 Β· β±οΈ 27.04.2022):
```
pip install lofo-importance
```
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₯ 4.8K / month Β· π¦ 5 Β· β±οΈ 28.12.2020):
- ```
- pip install sklearn-evaluation
- ```
-ExplainX.ai (π₯16 Β· β 360 Β· π€) - Explainable AI framework for data scientists. Explain & debug any.. MIT
- [GitHub](https://github.com/explainX/explainx) (π¨βπ» 4 Β· π 49 Β· π₯ 11 Β· π 29 - 41% open Β· β±οΈ 15.09.2022):
@@ -7031,26 +6818,27 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/explainX/explainx
```
-- [PyPi](https://pypi.org/project/explainx) (π₯ 2.6K / month Β· β±οΈ 04.02.2021):
+- [PyPi](https://pypi.org/project/explainx) (π₯ 3.2K / month Β· β±οΈ 04.02.2021):
```
pip install explainx
```
Show 21 hidden projects...
+Show 23 hidden projects...
- Lime (π₯33 Β· β 11K Β· π) - Lime: Explaining the predictions of any machine learning classifier. BSD-2
-- Deep Checks (π₯30 Β· β 3K) - Deepchecks: Tests for Continuous Validation of ML Models &.. βοΈAGPL-3.0
-- eli5 (π₯28 Β· β 2.7K Β· π) - A library for debugging/inspecting machine learning classifiers and.. MIT
-- scikit-plot (π₯28 Β· β 2.3K Β· π) - An intuitive library to add plotting functionality to.. MIT βοΈGPL-3.0
+- Deep Checks (π₯29 Β· β 3K) - Deepchecks: Tests for Continuous Validation of ML Models &.. βUnlicensed
+- scikit-plot (π₯27 Β· β 2.3K Β· π) - An intuitive library to add plotting functionality to.. MIT Apache-2 MIT βοΈGPL-3.0
- keras-vis (π₯24 Β· β 3K Β· π) - Neural network visualization toolkit for keras. MIT BSD-3 MIT
- tf-explain (π₯22 Β· β 990 Β· π) - Interpretability Methods for tf.keras models with Tensorflow.. MIT MIT βοΈGPL-3.0
+- Quantus (π₯22 Β· β 410) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. βοΈGPL-3.0
- deeplift (π₯21 Β· β 750 Β· π) - Public facing deeplift repo. MIT
-- Skater (π₯20 Β· β 1.1K) - Python Library for Model Interpretation/Explanations. βοΈUPL-1.0
+- TreeInterpreter (π₯21 Β· β 730 Β· π) - Package for interpreting scikit-learns decision tree.. BSD-3 βοΈUPL-1.0
- tcav (π₯19 Β· β 580 Β· π) - Code for the TCAV ML interpretability project. Apache-2 MIT
- Anchor (π₯16 Β· β 760 Β· π) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2
@@ -7058,7 +6846,8 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
- interpret-text (π₯13 Β· β 380 Β· π) - A library that incorporates state-of-the-art explainers.. MIT Apache-2
- Attribution Priors (π₯12 Β· β 120 Β· π) - Tools for training explainable models using.. MIT MIT
+- bias-detector (π₯10 Β· β 43 Β· π€) - MIT
+- sklearn-evaluation (π₯9 Β· β 2 Β· π€) - Machine learning model evaluation made easy: plots,.. MIT
@@ -7070,9 +6859,9 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
π ANN Benchmarks ( β 4K) - Benchmarks of approximate nearest neighbor libraries in Python.
-Milvus (π₯39 Β· β 23K) - A cloud-native vector database, storage for next generation AI.. Apache-2
+Milvus (π₯40 Β· β 23K) - A cloud-native vector database, storage for next generation AI.. Apache-2
-- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 250 Β· π 2.5K Β· π₯ 40K Β· π 8.8K - 7% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 250 Β· π 2.5K Β· π₯ 38K Β· π 8.8K - 7% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/milvus-io/milvus
@@ -7081,14 +6870,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
pip install pymilvus
```
-- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 4.6M Β· β 34 Β· β±οΈ 31.08.2023):
+- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 4.9M Β· β 34 Β· β±οΈ 07.09.2023):
```
docker pull milvusdb/milvus
```
Faiss (π₯38 Β· β 24K) - 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¦ 2.8K Β· π 2.2K - 15% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 140 Β· π 3.1K Β· π¦ 3K Β· π 2.2K - 15% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/facebookresearch/faiss
@@ -7097,7 +6886,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
pip install pymilvus
```
-- [Conda](https://anaconda.org/conda-forge/faiss) (π₯ 860K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/faiss) (π₯ 870K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge faiss
```
@@ -7109,7 +6898,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/spotify/annoy
```
-- [PyPi](https://pypi.org/project/annoy) (π₯ 990K / month Β· π¦ 260 Β· β±οΈ 14.06.2023):
+- [PyPi](https://pypi.org/project/annoy) (π₯ 1.1M / month Β· π¦ 260 Β· β±οΈ 14.06.2023):
```
pip install annoy
```
@@ -7118,14 +6907,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
conda install -c conda-forge python-annoy
```
hnswlib (π₯31 Β· β 3.4K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2
+hnswlib (π₯31 Β· β 3.4K Β· π€) - Header-only C++/python library for fast approximate nearest.. Apache-2
-- [GitHub](https://github.com/nmslib/hnswlib) (π¨βπ» 65 Β· π 480 Β· π¦ 4.3K Β· π 310 - 54% open Β· β±οΈ 05.02.2023):
+- [GitHub](https://github.com/nmslib/hnswlib) (π¨βπ» 65 Β· π 480 Β· π¦ 4.6K Β· π 320 - 54% open Β· β±οΈ 05.02.2023):
```
git clone https://github.com/nmslib/hnswlib
```
-- [PyPi](https://pypi.org/project/hnswlib) (π₯ 810K / month Β· π¦ 51 Β· β±οΈ 05.02.2023):
+- [PyPi](https://pypi.org/project/hnswlib) (π₯ 820K / month Β· π¦ 51 Β· β±οΈ 05.02.2023):
```
pip install hnswlib
```
@@ -7134,14 +6923,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
conda install -c conda-forge hnswlib
```
PyNNDescent (π₯30 Β· β 780) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2
+PyNNDescent (π₯30 Β· β 790) - 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¦ 4.2K Β· π 120 - 52% open Β· β±οΈ 24.08.2023):
```
git clone https://github.com/lmcinnes/pynndescent
```
-- [PyPi](https://pypi.org/project/pynndescent) (π₯ 800K / month Β· π¦ 55 Β· β±οΈ 31.10.2022):
+- [PyPi](https://pypi.org/project/pynndescent) (π₯ 820K / month Β· π¦ 55 Β· β±οΈ 31.10.2022):
```
pip install pynndescent
```
@@ -7150,65 +6939,65 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
conda install -c conda-forge pynndescent
```
USearch (π₯26 Β· β 690 Β· π£) - Fastest Search & Clustering engine for Vectors & Strings in C++,.. Apache-2
+USearch (π₯26 Β· β 710) - Fastest Search & Clustering engine for Vectors & Strings in C++, C,.. Apache-2
-- [GitHub](https://github.com/unum-cloud/usearch) (π¨βπ» 19 Β· π 31 Β· π₯ 78 Β· π¦ 12 Β· π 46 - 39% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/unum-cloud/usearch) (π¨βπ» 20 Β· π 32 Β· π₯ 140 Β· π¦ 12 Β· π 54 - 37% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/unum-cloud/usearch
```
-- [PyPi](https://pypi.org/project/usearch) (π₯ 9.7K / month Β· π¦ 1 Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/usearch) (π₯ 16K / month Β· π¦ 1 Β· β±οΈ 06.09.2023):
```
pip install usearch
```
-- [npm](https://www.npmjs.com/package/usearch) (π₯ 2.6K / month Β· π¦ 2 Β· β±οΈ 30.08.2023):
+- [npm](https://www.npmjs.com/package/usearch) (π₯ 3.2K / month Β· π¦ 2 Β· β±οΈ 06.09.2023):
```
npm install usearch
```
-- [Docker Hub](https://hub.docker.com/r/unum/usearch) (π₯ 29 Β· β 1 Β· β±οΈ 31.08.2023):
+- [Docker Hub](https://hub.docker.com/r/unum/usearch) (π₯ 29 Β· β 1 Β· β±οΈ 06.09.2023):
```
docker pull unum/usearch
```
NGT (π₯23 Β· β 1.1K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2
-- [GitHub](https://github.com/yahoojapan/NGT) (π¨βπ» 14 Β· π 100 Β· π 120 - 13% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/yahoojapan/NGT) (π¨βπ» 14 Β· π 100 Β· π 120 - 12% open Β· β±οΈ 31.08.2023):
```
git clone https://github.com/yahoojapan/NGT
```
-- [PyPi](https://pypi.org/project/ngt) (π₯ 11K / month Β· π¦ 8 Β· β±οΈ 21.09.2022):
+- [PyPi](https://pypi.org/project/ngt) (π₯ 12K / month Β· π¦ 8 Β· β±οΈ 21.09.2022):
```
pip install ngt
```
NearPy (π₯20 Β· β 740 Β· π€) - Python framework for fast (approximated) nearest neighbour search in.. MIT
-- [GitHub](https://github.com/pixelogik/NearPy) (π¨βπ» 19 Β· π 140 Β· π¦ 85 Β· π 64 - 39% open Β· β±οΈ 22.01.2023):
+- [GitHub](https://github.com/pixelogik/NearPy) (π¨βπ» 19 Β· π 140 Β· π¦ 86 Β· π 64 - 39% open Β· β±οΈ 22.01.2023):
```
git clone https://github.com/pixelogik/NearPy
```
-- [PyPi](https://pypi.org/project/NearPy) (π₯ 650 / month Β· π¦ 16 Β· β±οΈ 27.09.2016):
+- [PyPi](https://pypi.org/project/NearPy) (π₯ 560 / 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
+N2 (π₯18 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¦ 27 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₯ 370 / month Β· π¦ 4 Β· β±οΈ 16.10.2020):
+- [PyPi](https://pypi.org/project/n2) (π₯ 340 / month Β· π¦ 4 Β· β±οΈ 16.10.2020):
```
pip install n2
```
Show 3 hidden projects...
-- NMSLIB (π₯31 Β· β 3.1K Β· π) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2
+- NMSLIB (π₯30 Β· β 3.1K Β· π) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2
- Magnitude (π₯24 Β· β 1.6K Β· π) - A fast, efficient universal vector embedding utility package. MIT
- PySparNN (π₯11 Β· β 910 Β· π) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3
PyMC3 (π₯39 Β· β 7.7K) - Bayesian Modeling in Python. Apache-2
+PyMC3 (π₯39 Β· β 7.8K) - Bayesian Modeling in Python. Apache-2
-- [GitHub](https://github.com/pymc-devs/pymc) (π¨βπ» 460 Β· π 1.8K Β· π₯ 1.9K Β· π¦ 1.9K Β· π 3.1K - 6% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/pymc-devs/pymc) (π¨βπ» 460 Β· π 1.8K Β· π₯ 1.9K Β· π¦ 1.9K Β· π 3.1K - 6% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/pymc-devs/pymc
@@ -7231,19 +7020,19 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
pip install pymc3
```
-- [Conda](https://anaconda.org/conda-forge/pymc3) (π₯ 530K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pymc3) (π₯ 540K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge pymc3
```
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 - 47% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/tensorflow/probability) (π¨βπ» 480 Β· π 1.1K Β· π 1.4K - 47% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/tensorflow/probability
```
-- [PyPi](https://pypi.org/project/tensorflow-probability) (π₯ 1.2M / month Β· π¦ 420 Β· β±οΈ 04.08.2023):
+- [PyPi](https://pypi.org/project/tensorflow-probability) (π₯ 1.3M / month Β· π¦ 420 Β· β±οΈ 04.08.2023):
```
pip install tensorflow-probability
```
@@ -7252,7 +7041,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge tensorflow-probability
```
Pyro (π₯35 Β· β 8.1K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2
+Pyro (π₯36 Β· β 8.1K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2
- [GitHub](https://github.com/pyro-ppl/pyro) (π¨βπ» 140 Β· π 970 Β· π¦ 1.6K Β· π 1.1K - 22% open Β· β±οΈ 25.08.2023):
@@ -7263,7 +7052,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
pip install pyro-ppl
```
-- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (π₯ 99K Β· β±οΈ 29.07.2023):
+- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (π₯ 100K Β· β±οΈ 29.07.2023):
```
conda install -c conda-forge pyro-ppl
```
@@ -7275,7 +7064,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/cornellius-gp/gpytorch
```
-- [PyPi](https://pypi.org/project/gpytorch) (π₯ 230K / month Β· π¦ 67 Β· β±οΈ 02.06.2023):
+- [PyPi](https://pypi.org/project/gpytorch) (π₯ 240K / month Β· π¦ 67 Β· β±οΈ 02.06.2023):
```
pip install gpytorch
```
@@ -7284,22 +7073,6 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge gpytorch
```
filterpy (π₯32 Β· β 2.8K Β· π€) - Python Kalman filtering and optimal estimation library. Implements.. MIT
-
-- [GitHub](https://github.com/rlabbe/filterpy) (π¨βπ» 43 Β· π 560 Β· π¦ 3.9K Β· π 220 - 26% open Β· β±οΈ 22.08.2022):
-
- ```
- git clone https://github.com/rlabbe/filterpy
- ```
-- [PyPi](https://pypi.org/project/filterpy) (π₯ 2.1M / month Β· π¦ 160 Β· β±οΈ 10.10.2018):
- ```
- pip install filterpy
- ```
-- [Conda](https://anaconda.org/conda-forge/filterpy) (π₯ 240K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge filterpy
- ```
-pomegranate (π₯31 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¦ 980 Β· π 740 - 3% open Β· β±οΈ 26.08.2023):
@@ -7307,34 +7080,18 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/jmschrei/pomegranate
```
-- [PyPi](https://pypi.org/project/pomegranate) (π₯ 22K / month Β· π¦ 57 Β· β±οΈ 26.08.2023):
+- [PyPi](https://pypi.org/project/pomegranate) (π₯ 31K / month Β· π¦ 57 Β· β±οΈ 26.08.2023):
```
pip install pomegranate
```
-- [Conda](https://anaconda.org/conda-forge/pomegranate) (π₯ 130K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pomegranate) (π₯ 130K Β· β±οΈ 07.09.2023):
```
conda install -c conda-forge pomegranate
```
hmmlearn (π₯31 Β· β 2.8K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3
-
-- [GitHub](https://github.com/hmmlearn/hmmlearn) (π¨βπ» 44 Β· π 730 Β· π¦ 2K Β· π 420 - 13% open Β· β±οΈ 18.04.2023):
-
- ```
- git clone https://github.com/hmmlearn/hmmlearn
- ```
-- [PyPi](https://pypi.org/project/hmmlearn) (π₯ 200K / month Β· π¦ 140 Β· β±οΈ 10.02.2022):
- ```
- pip install hmmlearn
- ```
-- [Conda](https://anaconda.org/conda-forge/hmmlearn) (π₯ 190K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge hmmlearn
- ```
-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₯ 280 Β· π¦ 710 Β· π 860 - 29% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/pgmpy/pgmpy) (π¨βπ» 120 Β· π 680 Β· π₯ 280 Β· π¦ 710 Β· π 860 - 29% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/pgmpy/pgmpy
@@ -7344,22 +7101,6 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pip install pgmpy
```
patsy (π₯31 Β· β 900 Β· π€) - Describing statistical models in Python using symbolic formulas. BSD-2
-
-- [GitHub](https://github.com/pydata/patsy) (π¨βπ» 17 Β· π 100 Β· π¦ 78K Β· π 150 - 49% open Β· β±οΈ 09.10.2022):
-
- ```
- git clone https://github.com/pydata/patsy
- ```
-- [PyPi](https://pypi.org/project/patsy) (π₯ 9.6M / month Β· π¦ 2.7K Β· β±οΈ 09.10.2022):
- ```
- pip install patsy
- ```
-- [Conda](https://anaconda.org/conda-forge/patsy) (π₯ 8.8M Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge patsy
- ```
-SALib (π₯31 Β· β 740) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT
- [GitHub](https://github.com/SALib/SALib) (π¨βπ» 43 Β· π 220 Β· π¦ 870 Β· π 310 - 15% open Β· β±οΈ 20.07.2023):
@@ -7376,14 +7117,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge salib
```
pandas-ta (π₯30 Β· β 4K Β· π€) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT
+pandas-ta (π₯30 Β· β 4K Β· π€) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT
-- [GitHub](https://github.com/twopirllc/pandas-ta) (π¨βπ» 45 Β· π 790 Β· π¦ 3.2K Β· π 510 - 18% open Β· β±οΈ 24.09.2022):
+- [GitHub](https://github.com/twopirllc/pandas-ta) (π¨βπ» 45 Β· π 800 Β· π¦ 3.3K Β· π 510 - 19% open Β· β±οΈ 24.09.2022):
```
git clone https://github.com/twopirllc/pandas-ta
```
-- [PyPi](https://pypi.org/project/pandas-ta) (π₯ 73K / month Β· π¦ 32 Β· β±οΈ 28.07.2021):
+- [PyPi](https://pypi.org/project/pandas-ta) (π₯ 73K / month):
```
pip install pandas-ta
```
@@ -7392,38 +7133,70 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge pandas-ta
```
GPflow (π₯30 Β· β 1.8K) - Gaussian processes in TensorFlow. Apache-2
+hmmlearn (π₯30 Β· β 2.8K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3
+
+- [GitHub](https://github.com/hmmlearn/hmmlearn) (π¨βπ» 45 Β· π 730 Β· π¦ 2K Β· π 420 - 13% open Β· β±οΈ 31.08.2023):
+
+ ```
+ git clone https://github.com/hmmlearn/hmmlearn
+ ```
+- [PyPi](https://pypi.org/project/hmmlearn) (π₯ 180K / month Β· π¦ 140 Β· β±οΈ 10.02.2022):
+ ```
+ pip install hmmlearn
+ ```
+- [Conda](https://anaconda.org/conda-forge/hmmlearn) (π₯ 190K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge hmmlearn
+ ```
+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¦ 550 Β· π 820 - 17% open Β· β±οΈ 09.08.2023):
+- [GitHub](https://github.com/GPflow/GPflow) (π¨βπ» 83 Β· π 440 Β· π¦ 560 Β· π 820 - 17% open Β· β±οΈ 09.08.2023):
```
git clone https://github.com/GPflow/GPflow
```
-- [PyPi](https://pypi.org/project/gpflow) (π₯ 47K / month Β· π¦ 36 Β· β±οΈ 09.08.2023):
+- [PyPi](https://pypi.org/project/gpflow) (π₯ 48K / month Β· π¦ 36 Β· β±οΈ 09.08.2023):
```
pip install gpflow
```
-- [Conda](https://anaconda.org/conda-forge/gpflow) (π₯ 23K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/gpflow) (π₯ 24K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge gpflow
```
emcee (π₯30 Β· β 1.4K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT
+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» 68 Β· π 430 Β· π¦ 2K Β· π 280 - 17% open Β· β±οΈ 01.08.2023):
+- [GitHub](https://github.com/dfm/emcee) (π¨βπ» 68 Β· π 410 Β· π¦ 2K Β· π 280 - 16% open Β· β±οΈ 01.08.2023):
```
git clone https://github.com/dfm/emcee
```
-- [PyPi](https://pypi.org/project/emcee) (π₯ 98K / month Β· π¦ 350 Β· β±οΈ 10.05.2022):
+- [PyPi](https://pypi.org/project/emcee) (π₯ 91K / month):
```
pip install emcee
```
-- [Conda](https://anaconda.org/conda-forge/emcee) (π₯ 300K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/emcee) (π₯ 310K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge emcee
```
patsy (π₯30 Β· β 900 Β· π€) - Describing statistical models in Python using symbolic formulas. BSD-2
+
+- [GitHub](https://github.com/pydata/patsy) (π¨βπ» 17 Β· π 100 Β· π¦ 78K Β· π 150 - 49% open Β· β±οΈ 09.10.2022):
+
+ ```
+ git clone https://github.com/pydata/patsy
+ ```
+- [PyPi](https://pypi.org/project/patsy) (π₯ 9.5M / month Β· π¦ 2.7K Β· β±οΈ 09.10.2022):
+ ```
+ pip install patsy
+ ```
+- [Conda](https://anaconda.org/conda-forge/patsy) (π₯ 8.8M Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge patsy
+ ```
+bambi (π₯27 Β· β 930) - BAyesian Model-Building Interface (Bambi) in Python. MIT
- [GitHub](https://github.com/bambinos/bambi) (π¨βπ» 33 Β· π 100 Β· π¦ 85 Β· π 350 - 19% open Β· β±οΈ 26.08.2023):
@@ -7431,11 +7204,11 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/bambinos/bambi
```
-- [PyPi](https://pypi.org/project/bambi) (π₯ 19K / month Β· π¦ 6 Β· β±οΈ 02.07.2023):
+- [PyPi](https://pypi.org/project/bambi) (π₯ 18K / month Β· π¦ 7 Β· β±οΈ 02.07.2023):
```
pip install bambi
```
-- [Conda](https://anaconda.org/conda-forge/bambi) (π₯ 25K Β· β±οΈ 02.07.2023):
+- [Conda](https://anaconda.org/conda-forge/bambi) (π₯ 26K Β· β±οΈ 02.07.2023):
```
conda install -c conda-forge bambi
```
@@ -7451,14 +7224,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
pip install baal
```
-- [Conda](https://anaconda.org/conda-forge/baal) (π₯ 6.8K Β· β±οΈ 12.06.2023):
+- [Conda](https://anaconda.org/conda-forge/baal) (π₯ 6.9K Β· β±οΈ 12.06.2023):
```
conda install -c conda-forge baal
```
Orbit (π₯23 Β· β 1.7K Β· π€) - A Python package for Bayesian forecasting with object-oriented.. Apache-2
-- [GitHub](https://github.com/uber/orbit) (π¨βπ» 18 Β· π 120 Β· π¦ 34 Β· π 390 - 16% open Β· β±οΈ 29.01.2023):
+- [GitHub](https://github.com/uber/orbit) (π¨βπ» 18 Β· π 120 Β· π¦ 35 Β· π 390 - 16% open Β· β±οΈ 29.01.2023):
```
git clone https://github.com/uber/orbit
@@ -7468,12 +7241,13 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pip install orbit-ml
```
Show 7 hidden projects...
+Show 8 hidden projects...
-- pingouin (π₯28 Β· β 1.4K) - Statistical package in Python based on Pandas. βοΈGPL-3.0
+- filterpy (π₯31 Β· β 2.9K Β· π) - Python Kalman filtering and optimal estimation library. Implements.. MIT
+- pingouin (π₯29 Β· β 1.4K) - Statistical package in Python based on Pandas. βοΈGPL-3.0
- Edward (π₯27 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 ISC
+- scikit-posthocs (π₯21 Β· β 290) - 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 ART (π₯33 Β· β 3.9K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT
-- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (π¨βπ» 130 Β· π 1K Β· π¦ 410 Β· π 850 - 14% open Β· β±οΈ 20.08.2023):
+- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (π¨βπ» 130 Β· π 1K Β· π¦ 410 Β· π 850 - 14% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox
```
-- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (π₯ 36K / month Β· π¦ 8 Β· β±οΈ 20.08.2023):
+- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (π₯ 31K / month Β· π¦ 8 Β· β±οΈ 20.08.2023):
```
pip install adversarial-robustness-toolbox
```
@@ -7502,7 +7276,7 @@ _Libraries for testing the robustness of machine learning models against attacks
conda install -c conda-forge adversarial-robustness-toolbox
```
CleverHans (π₯30 Β· β 5.9K Β· π€) - An adversarial example library for constructing attacks,.. MIT
+CleverHans (π₯29 Β· β 5.9K Β· π€) - An adversarial example library for constructing attacks,.. MIT
- [GitHub](https://github.com/cleverhans-lab/cleverhans) (π¨βπ» 130 Β· π 1.4K Β· π¦ 510 Β· π 460 - 8% open Β· β±οΈ 31.01.2023):
@@ -7525,7 +7299,7 @@ _Libraries for testing the robustness of machine learning models against attacks
```
git clone https://github.com/QData/TextAttack
```
-- [PyPi](https://pypi.org/project/textattack) (π₯ 3.8K / month Β· π¦ 6 Β· β±οΈ 25.05.2022):
+- [PyPi](https://pypi.org/project/textattack) (π₯ 3.5K / month Β· π¦ 6 Β· β±οΈ 25.05.2022):
```
pip install textattack
```
@@ -7534,25 +7308,14 @@ _Libraries for testing the robustness of machine learning models against attacks
conda install -c conda-forge textattack
```
AdvBox (π₯18 Β· β 1.3K Β· π€) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2
-
-- [GitHub](https://github.com/advboxes/AdvBox) (π¨βπ» 19 Β· π 250 Β· π¦ 2 Β· π 39 - 20% open Β· β±οΈ 08.08.2022):
-
- ```
- git clone https://github.com/advboxes/AdvBox
- ```
-- [PyPi](https://pypi.org/project/advbox) (π₯ 44 / month Β· β±οΈ 05.12.2018):
- ```
- pip install advbox
- ```
-Show 5 hidden projects...
+Show 6 hidden projects...
-- Foolbox (π₯28 Β· β 2.5K Β· π) - A Python toolbox to create adversarial examples that fool neural.. MIT
+- Foolbox (π₯27 Β· β 2.5K Β· π) - A Python toolbox to create adversarial examples that fool neural.. MIT
- advertorch (π₯22 Β· β 1.2K Β· π) - A Toolbox for Adversarial Robustness Research. βοΈGPL-3.0 MIT
+- AdvBox (π₯18 Β· β 1.3K Β· π) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2
+- robustness (π₯18 Β· β 830 Β· π) - A library for experimenting with, training and evaluating neural.. MIT
- textflint (π₯16 Β· β 610 Β· π) - Unified Multilingual Robustness Evaluation Toolkit for.. βοΈGPL-3.0
-- Adversary (π₯15 Β· β 380 Β· π) - Tool to generate adversarial text examples and test machine.. MIT
+- Adversary (π₯14 Β· β 380 Β· π) - Tool to generate adversarial text examples and test machine.. MIT
@@ -7564,12 +7327,12 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
optimum (π₯32 Β· β 1.5K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2
-- [GitHub](https://github.com/huggingface/optimum) (π¨βπ» 78 Β· π 250 Β· π¦ 440 Β· π 490 - 43% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/huggingface/optimum) (π¨βπ» 80 Β· π 250 Β· π¦ 480 Β· π 500 - 43% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/huggingface/optimum
```
-- [PyPi](https://pypi.org/project/optimum) (π₯ 230K / month Β· π¦ 19 Β· β±οΈ 23.08.2023):
+- [PyPi](https://pypi.org/project/optimum) (π₯ 290K / month Β· π¦ 19 Β· β±οΈ 23.08.2023):
```
pip install optimum
```
@@ -7580,12 +7343,12 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuDF (π₯31 Β· β 5.9K) - cuDF - GPU DataFrame Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 260 Β· π 730 Β· π 5.7K - 15% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 260 Β· π 730 Β· π 5.7K - 15% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/rapidsai/cudf
```
-- [PyPi](https://pypi.org/project/cudf) (π₯ 1.7K / month Β· π¦ 8 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cudf) (π₯ 1.6K / month Β· π¦ 8 Β· β±οΈ 01.06.2020):
```
pip install cudf
```
@@ -7597,7 +7360,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
git clone https://github.com/wookayin/gpustat
```
-- [PyPi](https://pypi.org/project/gpustat) (π₯ 1.3M / month Β· π¦ 130 Β· β±οΈ 22.08.2023):
+- [PyPi](https://pypi.org/project/gpustat) (π₯ 1.2M / month Β· π¦ 130 Β· β±οΈ 22.08.2023):
```
pip install gpustat
```
@@ -7608,23 +7371,23 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
PyCUDA (π₯31 Β· β 1.6K) - CUDA integration for Python, plus shiny features. MIT
-- [GitHub](https://github.com/inducer/pycuda) (π¨βπ» 80 Β· π 270 Β· π¦ 2.3K Β· π 260 - 30% open Β· β±οΈ 28.08.2023):
+- [GitHub](https://github.com/inducer/pycuda) (π¨βπ» 80 Β· π 270 Β· π¦ 2.4K Β· π 260 - 30% open Β· β±οΈ 28.08.2023):
```
git clone https://github.com/inducer/pycuda
```
-- [PyPi](https://pypi.org/project/pycuda) (π₯ 38K / month Β· π¦ 220 Β· β±οΈ 21.12.2022):
+- [PyPi](https://pypi.org/project/pycuda) (π₯ 35K / month Β· π¦ 220 Β· β±οΈ 21.12.2022):
```
pip install pycuda
```
-- [Conda](https://anaconda.org/conda-forge/pycuda) (π₯ 250K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pycuda) (π₯ 250K Β· β±οΈ 02.09.2023):
```
conda install -c conda-forge pycuda
```
Apex (π₯30 Β· β 7.5K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3
-- [GitHub](https://github.com/NVIDIA/apex) (π¨βπ» 120 Β· π 1.3K Β· π¦ 2K Β· π 1.2K - 56% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/NVIDIA/apex) (π¨βπ» 120 Β· π 1.3K Β· π¦ 2K Β· π 1.2K - 56% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/NVIDIA/apex
@@ -7641,31 +7404,31 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
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₯ 1.5K / month Β· π¦ 5 Β· β±οΈ 01.06.2020):
```
pip install cuml
```
ArrayFire (π₯29 Β· β 4.2K) - ArrayFire: a general purpose GPU library. BSD-3
-- [GitHub](https://github.com/arrayfire/arrayfire) (π¨βπ» 88 Β· π 510 Β· π₯ 4.4K Β· π 1.6K - 17% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/arrayfire/arrayfire) (π¨βπ» 88 Β· π 510 Β· π₯ 4.4K Β· π 1.6K - 18% open Β· β±οΈ 29.08.2023):
```
git clone https://github.com/arrayfire/arrayfire
```
-- [PyPi](https://pypi.org/project/arrayfire) (π₯ 880 / month Β· π¦ 7 Β· β±οΈ 22.02.2022):
+- [PyPi](https://pypi.org/project/arrayfire) (π₯ 950 / 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 - 19% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/rapidsai/cugraph) (π¨βπ» 100 Β· π 250 Β· π¦ 2 Β· π 1.6K - 19% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/rapidsai/cugraph
```
-- [PyPi](https://pypi.org/project/cugraph) (π₯ 170 / month Β· π¦ 2 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cugraph) (π₯ 190 / month Β· π¦ 2 Β· β±οΈ 01.06.2020):
```
pip install cugraph
```
@@ -7696,7 +7459,7 @@ _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 31.08.2023):
+- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 87 Β· π 590 Β· π 1.5K - 18% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/NVIDIA/DALI
@@ -7704,24 +7467,24 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
Merlin (π₯23 Β· β 580) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2
-- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (π¨βπ» 31 Β· π 86 Β· π 440 - 45% open Β· β±οΈ 24.08.2023):
+- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (π¨βπ» 32 Β· π 86 Β· π 440 - 45% open Β· β±οΈ 05.09.2023):
```
git clone https://github.com/NVIDIA-Merlin/Merlin
```
-- [PyPi](https://pypi.org/project/merlin-core) (π₯ 2.3K / month Β· π¦ 1 Β· β±οΈ 29.08.2023):
+- [PyPi](https://pypi.org/project/merlin-core) (π₯ 2.4K / month Β· π¦ 1 Β· β±οΈ 29.08.2023):
```
pip install merlin-core
```
Vulkan Kompute (π₯20 Β· β 1.3K) - General purpose GPU compute framework built on Vulkan to.. Apache-2
-- [GitHub](https://github.com/KomputeProject/kompute) (π¨βπ» 22 Β· π 86 Β· π₯ 450 Β· π¦ 7 Β· π 190 - 33% open Β· β±οΈ 12.08.2023):
+- [GitHub](https://github.com/KomputeProject/kompute) (π¨βπ» 22 Β· π 89 Β· π₯ 460 Β· π¦ 7 Β· π 190 - 33% open Β· β±οΈ 12.08.2023):
```
git clone https://github.com/KomputeProject/kompute
```
-- [PyPi](https://pypi.org/project/kp) (π₯ 120 / month Β· β±οΈ 13.04.2022):
+- [PyPi](https://pypi.org/project/kp) (π₯ 100 / month Β· β±οΈ 13.04.2022):
```
pip install kp
```
@@ -7738,8 +7501,8 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
- scikit-cuda (π₯24 Β· β 940 Β· π) - Python interface to GPU-powered libraries. BSD-3
- GPUtil (π₯23 Β· β 990 Β· π) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT
-- py3nvml (π₯23 Β· β 220 Β· π) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3
-- BlazingSQL (π₯22 Β· β 1.8K Β· π) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2
+- py3nvml (π₯22 Β· β 220 Β· π) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3
+- BlazingSQL (π₯21 Β· β 1.8K Β· π) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2
- nvidia-ml-py3 (π₯19 Β· β 110 Β· π) - Python 3 Bindings for the NVIDIA Management Library. BSD-3
- ipyexperiments (π₯16 Β· β 160 Β· π) - jupyter/ipython experiment containers for GPU and.. Apache-2 MIT 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» 290 Β· π 1.5K Β· π¦ 14K Β· π 1.3K - 48% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 290 Β· π 1.4K Β· π¦ 14K Β· π 1.1K - 36% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/tensorflow/datasets
```
-- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 1.8M / month Β· π¦ 200 Β· β±οΈ 13.04.2023):
+- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 1.8M / month):
```
pip install tensorflow-datasets
```
@@ -7775,7 +7538,7 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/addons
```
-- [PyPi](https://pypi.org/project/tensorflow-addons) (π₯ 840K / month Β· π¦ 210 Β· β±οΈ 12.07.2023):
+- [PyPi](https://pypi.org/project/tensorflow-addons) (π₯ 820K / month Β· π¦ 210 Β· β±οΈ 12.07.2023):
```
pip install tensorflow-addons
```
@@ -7796,7 +7559,7 @@ _Libraries that extend TensorFlow with additional capabilities._
conda install -c conda-forge tensorflow-hub
```
tensor2tensor (π₯33 Β· β 14K) - Library of deep learning models and datasets designed to.. Apache-2
+tensor2tensor (π₯32 Β· β 14K) - Library of deep learning models and datasets designed to.. Apache-2
- [GitHub](https://github.com/tensorflow/tensor2tensor) (π¨βπ» 240 Β· π 3.3K Β· π¦ 1.4K Β· π 1.3K - 46% open Β· β±οΈ 01.04.2023):
@@ -7815,55 +7578,55 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/transform
```
-- [PyPi](https://pypi.org/project/tensorflow-transform) (π₯ 740K / month Β· π¦ 56 Β· β±οΈ 11.08.2023):
+- [PyPi](https://pypi.org/project/tensorflow-transform) (π₯ 720K / month Β· π¦ 56 Β· β±οΈ 11.08.2023):
```
pip install tensorflow-transform
```
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/tfx) (π¨βπ» 180 Β· π 670 Β· π 910 - 10% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/tensorflow/tfx) (π¨βπ» 180 Β· π 670 Β· π 910 - 10% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/tensorflow/tfx
```
-- [PyPi](https://pypi.org/project/tfx) (π₯ 44K / month Β· π¦ 14 Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/tfx) (π₯ 44K / month Β· π¦ 14 Β· β±οΈ 06.09.2023):
```
pip install tfx
```
TF Model Optimization (π₯31 Β· β 1.4K) - A toolkit to optimize ML models for deployment for.. Apache-2
-- [GitHub](https://github.com/tensorflow/model-optimization) (π¨βπ» 82 Β· π 320 Β· π¦ 3.1K Β· π 360 - 55% open Β· β±οΈ 01.08.2023):
+- [GitHub](https://github.com/tensorflow/model-optimization) (π¨βπ» 82 Β· π 320 Β· π¦ 3.1K Β· π 370 - 55% open Β· β±οΈ 01.08.2023):
```
git clone https://github.com/tensorflow/model-optimization
```
-- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (π₯ 390K / month Β· π¦ 30 Β· β±οΈ 26.05.2023):
+- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (π₯ 420K / month Β· π¦ 30 Β· β±οΈ 26.05.2023):
```
pip install tensorflow-model-optimization
```
TensorFlow I/O (π₯30 Β· β 660) - Dataset, streaming, and file system extensions.. Apache-2
-- [GitHub](https://github.com/tensorflow/io) (π¨βπ» 110 Β· π 280 Β· π 620 - 42% open Β· β±οΈ 21.08.2023):
+- [GitHub](https://github.com/tensorflow/io) (π¨βπ» 110 Β· π 280 Β· π 620 - 42% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/tensorflow/io
```
-- [PyPi](https://pypi.org/project/tensorflow-io) (π₯ 1.8M / month Β· π¦ 31 Β· β±οΈ 02.08.2023):
+- [PyPi](https://pypi.org/project/tensorflow-io) (π₯ 2.6M / month Β· π¦ 31 Β· β±οΈ 02.08.2023):
```
pip install tensorflow-io
```
Neural Structured Learning (π₯26 Β· β 970) - Training neural models with structured signals. Apache-2
-- [GitHub](https://github.com/tensorflow/neural-structured-learning) (π¨βπ» 37 Β· π 190 Β· π¦ 370 Β· π 69 - 1% open Β· β±οΈ 31.07.2023):
+- [GitHub](https://github.com/tensorflow/neural-structured-learning) (π¨βπ» 37 Β· π 190 Β· π¦ 380 Β· π 69 - 1% open Β· β±οΈ 31.07.2023):
```
git clone https://github.com/tensorflow/neural-structured-learning
```
-- [PyPi](https://pypi.org/project/neural-structured-learning) (π₯ 15K / month Β· π¦ 3 Β· β±οΈ 29.07.2022):
+- [PyPi](https://pypi.org/project/neural-structured-learning) (π₯ 14K / month Β· π¦ 3 Β· β±οΈ 29.07.2022):
```
pip install neural-structured-learning
```
@@ -7875,7 +7638,7 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/cloud
```
-- [PyPi](https://pypi.org/project/tensorflow-cloud) (π₯ 69K / month Β· π¦ 7 Β· β±οΈ 17.06.2021):
+- [PyPi](https://pypi.org/project/tensorflow-cloud) (π₯ 67K / month Β· π¦ 7 Β· β±οΈ 17.06.2021):
```
pip install tensorflow-cloud
```
@@ -7887,15 +7650,15 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/compression
```
-- [PyPi](https://pypi.org/project/tensorflow-compression) (π₯ 6.7K / month Β· π¦ 2 Β· β±οΈ 26.07.2023):
+- [PyPi](https://pypi.org/project/tensorflow-compression) (π₯ 6.6K / month Β· π¦ 2 Β· β±οΈ 26.07.2023):
```
pip install tensorflow-compression
```
Show 5 hidden projects...
-- Keras-Preprocessing (π₯30 Β· β 1K Β· π) - Utilities for working with image data, text data, and.. MIT Apache-2 MIT Apache-2 Apache-2 MIT MIT equinox (π₯30 Β· β 1.3K) - Elegant easy-to-use neural networks in JAX... Apache-2
+equinox (π₯30 Β· β 1.4K) - Elegant easy-to-use neural networks in JAX... Apache-2
-- [GitHub](https://github.com/patrick-kidger/equinox) (π¨βπ» 35 Β· π 83 Β· π¦ 220 Β· π 220 - 25% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/patrick-kidger/equinox) (π¨βπ» 36 Β· π 84 Β· π¦ 220 Β· π 220 - 25% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/patrick-kidger/equinox
```
-- [PyPi](https://pypi.org/project/equinox) (π₯ 29K / month Β· π¦ 31 Β· β±οΈ 26.07.2023):
+- [PyPi](https://pypi.org/project/equinox) (π₯ 27K / month Β· π¦ 31 Β· β±οΈ 26.07.2023):
```
pip install equinox
```
evojax (π₯21 Β· β 690) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2
-- [GitHub](https://github.com/google/evojax) (π¨βπ» 14 Β· π 58 Β· π¦ 10 Β· π 26 - 38% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/google/evojax) (π¨βπ» 14 Β· π 58 Β· π¦ 11 Β· π 26 - 38% open Β· β±οΈ 29.08.2023):
```
git clone https://github.com/google/evojax
```
-- [PyPi](https://pypi.org/project/evojax) (π₯ 560 / month Β· π¦ 2 Β· β±οΈ 29.08.2023):
+- [PyPi](https://pypi.org/project/evojax) (π₯ 580 / month Β· π¦ 2 Β· β±οΈ 29.08.2023):
```
pip install evojax
```
@@ -7938,7 +7701,7 @@ _Libraries that extend Jax with additional capabilities._
Show 1 hidden projects...
-- jaxdf (π₯14 Β· β 97) - A JAX-based research framework for writing differentiable.. βοΈLGPL-3.0 βοΈLGPL-3.0
@@ -7950,12 +7713,12 @@ _Libraries that extend scikit-learn with additional capabilities._
imbalanced-learn (π₯37 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» 78 Β· π 1.2K Β· π¦ 20K Β· π 560 - 6% open Β· β±οΈ 09.08.2023):
+- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (π¨βπ» 79 Β· π 1.2K Β· π¦ 20K Β· π 570 - 6% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/scikit-learn-contrib/imbalanced-learn
```
-- [PyPi](https://pypi.org/project/imbalanced-learn) (π₯ 4.7M / month Β· π¦ 320 Β· β±οΈ 08.07.2023):
+- [PyPi](https://pypi.org/project/imbalanced-learn) (π₯ 5.3M / month Β· π¦ 330 Β· β±οΈ 08.07.2023):
```
pip install imbalanced-learn
```
@@ -7971,7 +7734,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/rasbt/mlxtend
```
-- [PyPi](https://pypi.org/project/mlxtend) (π₯ 590K / month Β· π¦ 170 Β· β±οΈ 27.05.2022):
+- [PyPi](https://pypi.org/project/mlxtend) (π₯ 590K / month Β· π¦ 180 Β· β±οΈ 27.05.2022):
```
pip install mlxtend
```
@@ -7982,12 +7745,12 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-learn-intelex (π₯34 Β· β 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¦ 7.6K Β· π 210 - 24% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/intel/scikit-learn-intelex) (π¨βπ» 77 Β· π 150 Β· π¦ 7.7K Β· π 200 - 18% open Β· β±οΈ 06.09.2023):
```
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₯ 180K / month):
```
pip install scikit-learn-intelex
```
@@ -7998,12 +7761,12 @@ _Libraries that extend scikit-learn with additional capabilities._
category_encoders (π₯32 Β· β 2.3K) - A library of sklearn compatible categorical variable.. BSD-3
-- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (π¨βπ» 61 Β· π 390 Β· π¦ 1K Β· π 270 - 15% open Β· β±οΈ 15.08.2023):
+- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (π¨βπ» 61 Β· π 390 Β· π¦ 1K Β· π 280 - 15% open Β· β±οΈ 15.08.2023):
```
git clone https://github.com/scikit-learn-contrib/category_encoders
```
-- [PyPi](https://pypi.org/project/category_encoders) (π₯ 1.2M / month Β· π¦ 150 Β· β±οΈ 15.08.2023):
+- [PyPi](https://pypi.org/project/category_encoders) (π₯ 1.3M / month Β· π¦ 150 Β· β±οΈ 15.08.2023):
```
pip install category_encoders
```
@@ -8019,7 +7782,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/scikit-multilearn/scikit-multilearn
```
-- [PyPi](https://pypi.org/project/scikit-multilearn) (π₯ 81K / month Β· π¦ 24 Β· β±οΈ 10.12.2018):
+- [PyPi](https://pypi.org/project/scikit-multilearn) (π₯ 82K / month Β· π¦ 24 Β· β±οΈ 10.12.2018):
```
pip install scikit-multilearn
```
@@ -8031,7 +7794,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/koaning/scikit-lego
```
-- [PyPi](https://pypi.org/project/scikit-lego) (π₯ 36K / month Β· π¦ 7 Β· β±οΈ 18.07.2023):
+- [PyPi](https://pypi.org/project/scikit-lego) (π₯ 35K / month Β· π¦ 7 Β· β±οΈ 18.07.2023):
```
pip install scikit-lego
```
@@ -8040,14 +7803,14 @@ _Libraries that extend scikit-learn with additional capabilities._
conda install -c conda-forge scikit-lego
```
scikit-opt (π₯24 Β· β 4.4K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT
+scikit-opt (π₯23 Β· β 4.4K Β· π€) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT
-- [GitHub](https://github.com/guofei9987/scikit-opt) (π¨βπ» 17 Β· π 890 Β· π¦ 140 Β· π 170 - 35% open Β· β±οΈ 19.02.2023):
+- [GitHub](https://github.com/guofei9987/scikit-opt) (π¨βπ» 17 Β· π 890 Β· π¦ 140 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₯ 3K / month Β· π¦ 8 Β· β±οΈ 14.01.2022):
+- [PyPi](https://pypi.org/project/scikit-opt) (π₯ 3.2K / month Β· π¦ 8 Β· β±οΈ 14.01.2022):
```
pip install scikit-opt
```
@@ -8059,7 +7822,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/yzhao062/combo
```
-- [PyPi](https://pypi.org/project/combo) (π₯ 74K / month Β· π¦ 5 Β· β±οΈ 02.04.2022):
+- [PyPi](https://pypi.org/project/combo) (π₯ 77K / month Β· π¦ 5 Β· β±οΈ 02.04.2022):
```
pip install combo
```
@@ -8071,23 +7834,23 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/scikit-learn-contrib/DESlib
```
-- [PyPi](https://pypi.org/project/deslib) (π₯ 980 / month Β· π¦ 2 Β· β±οΈ 08.02.2021):
+- [PyPi](https://pypi.org/project/deslib) (π₯ 1K / month Β· π¦ 2 Β· β±οΈ 08.02.2021):
```
pip install deslib
```
Show 10 hidden projects...
-- scikit-survival (π₯29 Β· β 970) - Survival analysis built on top of scikit-learn. βοΈGPL-3.0 MIT βοΈGPL-3.0 Apache-2 MIT BSD-3 BSD-3 βοΈBSD-1-Clause βοΈBSD-1-Clause BSD-3 MIT MIT BSD-3 MIT BSD-3
@@ -8097,30 +7860,30 @@ _Libraries that extend scikit-learn with additional capabilities._
_Libraries that extend Pytorch with additional capabilities._
-accelerate (π₯38 Β· β 5.6K) - A simple way to train and use PyTorch models with multi-.. Apache-2
+accelerate (π₯37 Β· β 5.6K) - A simple way to train and use PyTorch models with multi-.. Apache-2
-- [GitHub](https://github.com/huggingface/accelerate) (π¨βπ» 170 Β· π 590 Β· π¦ 13K Β· π 930 - 9% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/huggingface/accelerate) (π¨βπ» 170 Β· π 580 Β· π¦ 13K Β· π 940 - 9% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/huggingface/accelerate
```
-- [PyPi](https://pypi.org/project/accelerate) (π₯ 5.4M / month Β· π¦ 290 Β· β±οΈ 23.08.2023):
+- [PyPi](https://pypi.org/project/accelerate) (π₯ 5.6M / month):
```
pip install accelerate
```
-- [Conda](https://anaconda.org/conda-forge/accelerate) (π₯ 59K Β· β±οΈ 23.08.2023):
+- [Conda](https://anaconda.org/conda-forge/accelerate) (π₯ 61K Β· β±οΈ 23.08.2023):
```
conda install -c conda-forge accelerate
```
PML (π₯33 Β· β 5.4K) - 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¦ 870 Β· π 470 - 10% open Β· β±οΈ 25.07.2023):
+- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (π¨βπ» 38 Β· π 630 Β· π¦ 880 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₯ 260K / month Β· π¦ 19 Β· β±οΈ 25.07.2023):
+- [PyPi](https://pypi.org/project/pytorch-metric-learning) (π₯ 280K / month Β· π¦ 19 Β· β±οΈ 25.07.2023):
```
pip install pytorch-metric-learning
```
@@ -8131,7 +7894,7 @@ _Libraries that extend Pytorch with additional capabilities._
tinygrad (π₯31 Β· β 19K) - You like pytorch? You like micrograd? You love tinygrad!. MIT
-- [GitHub](https://github.com/tinygrad/tinygrad) (π¨βπ» 210 Β· π 2K Β· π¦ 26 Β· π 350 - 13% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/tinygrad/tinygrad) (π¨βπ» 210 Β· π 2K Β· π¦ 26 Β· π 360 - 15% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/geohot/tinygrad
@@ -8139,12 +7902,12 @@ _Libraries that extend Pytorch with additional capabilities._
lightning-flash (π₯31 Β· β 1.7K) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2
-- [GitHub](https://github.com/Lightning-Universe/lightning-flash) (π¨βπ» 87 Β· π 210 Β· π¦ 240 Β· π 520 - 4% open Β· β±οΈ 14.08.2023):
+- [GitHub](https://github.com/Lightning-Universe/lightning-flash) (π¨βπ» 87 Β· π 200 Β· π¦ 240 Β· π 520 - 4% open Β· β±οΈ 04.09.2023):
```
git clone https://github.com/Lightning-AI/lightning-flash
```
-- [PyPi](https://pypi.org/project/lightning-flash) (π₯ 2.1K / month Β· π¦ 3 Β· β±οΈ 11.05.2022):
+- [PyPi](https://pypi.org/project/lightning-flash) (π₯ 2.2K / month):
```
pip install lightning-flash
```
@@ -8171,12 +7934,12 @@ _Libraries that extend Pytorch with additional capabilities._
pytorch-optimizer (π₯29 Β· β 2.8K) - torch-optimizer -- collection of optimizers for.. Apache-2
-- [GitHub](https://github.com/jettify/pytorch-optimizer) (π¨βπ» 26 Β· π 270 Β· π¦ 980 Β· π 60 - 50% open Β· β±οΈ 20.06.2023):
+- [GitHub](https://github.com/jettify/pytorch-optimizer) (π¨βπ» 26 Β· π 280 Β· π¦ 990 Β· π 60 - 50% open Β· β±οΈ 20.06.2023):
```
git clone https://github.com/jettify/pytorch-optimizer
```
-- [PyPi](https://pypi.org/project/torch_optimizer) (π₯ 88K / month Β· π¦ 42 Β· β±οΈ 31.10.2021):
+- [PyPi](https://pypi.org/project/torch_optimizer) (π₯ 91K / month Β· π¦ 42 Β· β±οΈ 31.10.2021):
```
pip install torch_optimizer
```
@@ -8187,12 +7950,12 @@ _Libraries that extend Pytorch with additional capabilities._
torchsde (π₯28 Β· β 1.3K) - Differentiable SDE solvers with GPU support and efficient.. Apache-2
-- [GitHub](https://github.com/google-research/torchsde) (π¨βπ» 6 Β· π 170 Β· π¦ 1.3K Β· π 67 - 26% open Β· β±οΈ 15.08.2023):
+- [GitHub](https://github.com/google-research/torchsde) (π¨βπ» 6 Β· π 170 Β· π¦ 1.4K Β· π 67 - 26% open Β· β±οΈ 15.08.2023):
```
git clone https://github.com/google-research/torchsde
```
-- [PyPi](https://pypi.org/project/torchsde) (π₯ 1.3M / month Β· π¦ 8 Β· β±οΈ 20.07.2021):
+- [PyPi](https://pypi.org/project/torchsde) (π₯ 1.2M / month Β· π¦ 8 Β· β±οΈ 20.07.2021):
```
pip install torchsde
```
@@ -8208,11 +7971,11 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/dreamquark-ai/tabnet
```
-- [PyPi](https://pypi.org/project/pytorch-tabnet) (π₯ 38K / month Β· π¦ 11 Β· β±οΈ 23.07.2023):
+- [PyPi](https://pypi.org/project/pytorch-tabnet) (π₯ 35K / month Β· π¦ 11 Β· β±οΈ 23.07.2023):
```
pip install pytorch-tabnet
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (π₯ 5.3K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (π₯ 5.4K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge pytorch-tabnet
```
@@ -8229,46 +7992,46 @@ _Libraries that extend Pytorch with additional capabilities._
pip install pytorch_toolbelt
```
torch-scatter (π₯26 Β· β 1.3K) - PyTorch Extension Library of Optimized Scatter Operations. MIT
+PyTorch Sparse (π₯23 Β· β 860) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT
-- [GitHub](https://github.com/rusty1s/pytorch_scatter) (π¨βπ» 27 Β· π 160 Β· π 330 - 6% open Β· β±οΈ 04.06.2023):
+- [GitHub](https://github.com/rusty1s/pytorch_sparse) (π¨βπ» 44 Β· π 140 Β· π 250 - 11% open Β· β±οΈ 19.07.2023):
```
- git clone https://github.com/rusty1s/pytorch_scatter
+ git clone https://github.com/rusty1s/pytorch_sparse
```
-- [PyPi](https://pypi.org/project/torch-scatter) (π₯ 39K / month Β· π¦ 67 Β· β±οΈ 24.11.2022):
+- [PyPi](https://pypi.org/project/torch-sparse) (π₯ 23K / month Β· π¦ 59 Β· β±οΈ 22.12.2022):
```
- pip install torch-scatter
+ pip install torch-sparse
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (π₯ 220K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (π₯ 230K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge pytorch_scatter
+ conda install -c conda-forge pytorch_sparse
```
PyTorch Sparse (π₯25 Β· β 860) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT
+torch-scatter (π₯22 Β· β 1.3K Β· π) - PyTorch Extension Library of Optimized Scatter Operations. MIT
-- [GitHub](https://github.com/rusty1s/pytorch_sparse) (π¨βπ» 44 Β· π 140 Β· π 250 - 11% open Β· β±οΈ 19.07.2023):
+- [GitHub](https://github.com/rusty1s/pytorch_scatter) (π¨βπ» 27 Β· π 160 Β· π 330 - 6% open Β· β±οΈ 04.06.2023):
```
- git clone https://github.com/rusty1s/pytorch_sparse
+ git clone https://github.com/rusty1s/pytorch_scatter
```
-- [PyPi](https://pypi.org/project/torch-sparse) (π₯ 23K / month Β· π¦ 59 Β· β±οΈ 22.12.2022):
+- [PyPi](https://pypi.org/project/torch-scatter) (π₯ 39K / month):
```
- pip install torch-sparse
+ pip install torch-scatter
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (π₯ 230K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (π₯ 220K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge pytorch_sparse
+ conda install -c conda-forge pytorch_scatter
```
reformer-pytorch (π₯20 Β· β 1.9K) - Reformer, the efficient Transformer, in Pytorch. MIT
+reformer-pytorch (π₯19 Β· β 2K) - Reformer, the efficient Transformer, in Pytorch. MIT
- [GitHub](https://github.com/lucidrains/reformer-pytorch) (π¨βπ» 11 Β· π 250 Β· π 120 - 11% open Β· β±οΈ 21.06.2023):
```
git clone https://github.com/lucidrains/reformer-pytorch
```
-- [PyPi](https://pypi.org/project/reformer-pytorch) (π₯ 2K / month Β· β±οΈ 06.11.2021):
+- [PyPi](https://pypi.org/project/reformer-pytorch) (π₯ 2.1K / month Β· β±οΈ 06.11.2021):
```
pip install reformer-pytorch
```
@@ -8280,29 +8043,29 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/abhishekkrthakur/tez
```
-- [PyPi](https://pypi.org/project/tez) (π₯ 500 / month Β· π¦ 2 Β· β±οΈ 20.09.2022):
+- [PyPi](https://pypi.org/project/tez) (π₯ 480 / month Β· π¦ 2 Β· β±οΈ 20.09.2022):
```
pip install tez
```
madgrad (π₯16 Β· β 790) - MADGRAD Optimization Method. MIT
+madgrad (π₯15 Β· β 790) - MADGRAD Optimization Method. MIT
-- [GitHub](https://github.com/facebookresearch/madgrad) (π¨βπ» 2 Β· π 56 Β· π¦ 60 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¦ 61 Β· β±οΈ 11.04.2023):
```
git clone https://github.com/facebookresearch/madgrad
```
-- [PyPi](https://pypi.org/project/madgrad) (π₯ 4K / month Β· π¦ 1 Β· β±οΈ 08.03.2022):
+- [PyPi](https://pypi.org/project/madgrad) (π₯ 3.8K / month):
```
pip install madgrad
```
Show 18 hidden projects...
-- pretrainedmodels (π₯30 Β· β 8.8K Β· π) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 BSD-3 MIT Apache-2 MIT MIT MIT Apache-2 Apache-2 βοΈCC BY-NC-SA 4.0 βοΈLGPL-3.0 MIT MIT MIT
+- Performer Pytorch (π₯19 Β· β 980 Β· π) - An implementation of Performer, a linear attention-.. MIT MIT MIT MIT MIT MIT Apache-2 Apache-2
@@ -8336,7 +8099,7 @@ _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» 1.2K Β· π 4K Β· π₯ 510K Β· π¦ 79K Β· π 13K - 36% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/sympy/sympy) (π¨βπ» 1.2K Β· π 4K Β· π₯ 510K Β· π¦ 80K Β· π 13K - 36% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/sympy/sympy
@@ -8345,19 +8108,19 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install sympy
```
-- [Conda](https://anaconda.org/conda-forge/sympy) (π₯ 4.1M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sympy) (π₯ 4.2M 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¦ 11 Β· π 9.6K - 17% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/scipy/scipy) (π¨βπ» 1.5K Β· π 4.9K Β· π₯ 380K Β· π¦ 13 Β· π 9.6K - 17% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/scipy/scipy
```
-- [PyPi](https://pypi.org/project/scipy) (π₯ 62M / month Β· π¦ 63K Β· β±οΈ 17.08.2023):
+- [PyPi](https://pypi.org/project/scipy) (π₯ 61M / month Β· π¦ 64K Β· β±οΈ 17.08.2023):
```
pip install scipy
```
@@ -8366,54 +8129,38 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge scipy
```
Gradio (π₯42 Β· β 21K) - Wrap UIs around any model, share with anyone. Apache-2
+Gradio (π₯42 Β· β 22K) - Wrap UIs around any model, share with anyone. Apache-2
-- [GitHub](https://github.com/gradio-app/gradio) (π¨βπ» 200 Β· π 1.4K Β· π¦ 12K Β· π 2.7K - 15% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/gradio-app/gradio) (π¨βπ» 200 Β· π 1.4K Β· π¦ 13K Β· π 2.7K - 14% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/gradio-app/gradio
```
-- [PyPi](https://pypi.org/project/gradio) (π₯ 4.3M / month Β· π¦ 140 Β· β±οΈ 25.08.2023):
+- [PyPi](https://pypi.org/project/gradio) (π₯ 4.5M / month):
```
pip install gradio
```
Streamlit (π₯40 Β· β 27K) - 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¦ 950 Β· π 3.6K - 18% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/streamlit/streamlit) (π¨βπ» 200 Β· π 2.4K Β· π¦ 970 Β· π 3.6K - 18% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/streamlit/streamlit
```
-- [PyPi](https://pypi.org/project/streamlit) (π₯ 2.5M / month Β· π¦ 990 Β· β±οΈ 24.08.2023):
+- [PyPi](https://pypi.org/project/streamlit) (π₯ 2.4M / month Β· π¦ 1K Β· β±οΈ 24.08.2023):
```
pip install streamlit
```
Autograd (π₯36 Β· β 6.4K) - Efficiently computes derivatives of numpy code. MIT
-
-- [GitHub](https://github.com/HIPS/autograd) (π¨βπ» 55 Β· π 870 Β· π¦ 6K 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¦ 310 Β· β±οΈ 23.06.2023):
- ```
- pip install autograd
- ```
-- [Conda](https://anaconda.org/conda-forge/autograd) (π₯ 340K Β· β±οΈ 26.06.2023):
- ```
- conda install -c conda-forge autograd
- ```
-DeepChem (π₯36 Β· β 4.6K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT
-- [GitHub](https://github.com/deepchem/deepchem) (π¨βπ» 220 Β· π 1.5K Β· π¦ 250 Β· π 1.7K - 27% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/deepchem/deepchem) (π¨βπ» 220 Β· π 1.5K Β· π¦ 250 Β· π 1.7K - 27% open Β· β±οΈ 04.09.2023):
```
git clone https://github.com/deepchem/deepchem
```
-- [PyPi](https://pypi.org/project/deepchem) (π₯ 13K / month Β· π¦ 9 Β· β±οΈ 31.08.2023):
+- [PyPi](https://pypi.org/project/deepchem) (π₯ 13K / month Β· π¦ 9 Β· β±οΈ 04.09.2023):
```
pip install deepchem
```
@@ -8424,12 +8171,12 @@ _Libraries for connecting to, operating, and querying databases._
Datasette (π₯35 Β· β 8.2K) - An open source multi-tool for exploring and publishing data. Apache-2
-- [GitHub](https://github.com/simonw/datasette) (π¨βπ» 74 Β· π 580 Β· π₯ 56 Β· π¦ 1.1K Β· π 1.7K - 31% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/simonw/datasette) (π¨βπ» 74 Β· π 580 Β· π₯ 56 Β· π¦ 1.1K Β· π 1.7K - 31% open Β· β±οΈ 07.09.2023):
```
git clone https://github.com/simonw/datasette
```
-- [PyPi](https://pypi.org/project/datasette) (π₯ 25K / month Β· π¦ 190 Β· β±οΈ 29.08.2023):
+- [PyPi](https://pypi.org/project/datasette) (π₯ 24K / month Β· π¦ 190 Β· β±οΈ 29.08.2023):
```
pip install datasette
```
@@ -8438,18 +8185,34 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge datasette
```
carla (π₯33 Β· β 9.6K) - Open-source simulator for autonomous driving research. MIT
+carla (π₯34 Β· β 9.6K) - Open-source simulator for autonomous driving research. MIT
- [GitHub](https://github.com/carla-simulator/carla) (π¨βπ» 150 Β· π 2.9K Β· π¦ 530 Β· π 4.6K - 17% 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₯ 12K / month Β· π¦ 4 Β· β±οΈ 24.12.2022):
```
pip install carla
```
Autograd (π₯34 Β· β 6.4K) - Efficiently computes derivatives of numpy code. MIT
+
+- [GitHub](https://github.com/HIPS/autograd) (π¨βπ» 55 Β· π 840 Β· π¦ 6K Β· π 390 - 39% open Β· β±οΈ 02.08.2023):
+
+ ```
+ git clone https://github.com/HIPS/autograd
+ ```
+- [PyPi](https://pypi.org/project/autograd) (π₯ 1.2M / month):
+ ```
+ pip install autograd
+ ```
+- [Conda](https://anaconda.org/conda-forge/autograd) (π₯ 350K Β· β±οΈ 26.06.2023):
+ ```
+ conda install -c conda-forge autograd
+ ```
+PyOD (π₯33 Β· β 7.4K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2
- [GitHub](https://github.com/yzhao062/pyod) (π¨βπ» 48 Β· π 1.3K Β· π¦ 2.7K Β· π 330 - 56% open Β· β±οΈ 16.07.2023):
@@ -8457,23 +8220,23 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/yzhao062/pyod
```
-- [PyPi](https://pypi.org/project/pyod) (π₯ 590K / month Β· π¦ 51 Β· β±οΈ 25.06.2023):
+- [PyPi](https://pypi.org/project/pyod) (π₯ 600K / month Β· π¦ 51 Β· β±οΈ 25.06.2023):
```
pip install pyod
```
-- [Conda](https://anaconda.org/conda-forge/pyod) (π₯ 79K Β· β±οΈ 26.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pyod) (π₯ 80K Β· β±οΈ 26.06.2023):
```
conda install -c conda-forge pyod
```
hdbscan (π₯33 Β· β 2.5K) - A high performance implementation of HDBSCAN clustering. BSD-3
-- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (π¨βπ» 84 Β· π 460 Β· π¦ 2.5K Β· π 490 - 66% open Β· β±οΈ 21.08.2023):
+- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (π¨βπ» 84 Β· π 460 Β· π¦ 2.6K Β· π 490 - 66% open Β· β±οΈ 21.08.2023):
```
git clone https://github.com/scikit-learn-contrib/hdbscan
```
-- [PyPi](https://pypi.org/project/hdbscan) (π₯ 520K / month Β· π¦ 210 Β· β±οΈ 18.07.2023):
+- [PyPi](https://pypi.org/project/hdbscan) (π₯ 500K / month Β· π¦ 210 Β· β±οΈ 18.07.2023):
```
pip install hdbscan
```
@@ -8484,23 +8247,23 @@ _Libraries for connecting to, operating, and querying databases._
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¦ 1.1K Β· π 830 - 15% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/serge-sans-paille/pythran) (π¨βπ» 72 Β· π 190 Β· π¦ 1.1K Β· π 830 - 15% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/serge-sans-paille/pythran
```
-- [PyPi](https://pypi.org/project/pythran) (π₯ 150K / month Β· π¦ 22 Β· β±οΈ 02.05.2023):
+- [PyPi](https://pypi.org/project/pythran) (π₯ 150K / month Β· π¦ 22 Β· β±οΈ 06.09.2023):
```
pip install pythran
```
-- [Conda](https://anaconda.org/conda-forge/pythran) (π₯ 400K Β· β±οΈ 25.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pythran) (π₯ 410K Β· β±οΈ 06.09.2023):
```
conda install -c conda-forge pythran
```
PennyLane (π₯33 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¦ 600 Β· π 1.1K - 28% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/PennyLaneAI/pennylane) (π¨βπ» 140 Β· π 480 Β· π₯ 70 Β· π¦ 610 Β· π 1.1K - 28% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/PennyLaneAI/PennyLane
@@ -8509,7 +8272,7 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install pennylane
```
-- [Conda](https://anaconda.org/conda-forge/pennylane) (π₯ 22K Β· β±οΈ 29.08.2023):
+- [Conda](https://anaconda.org/conda-forge/pennylane) (π₯ 23K Β· β±οΈ 29.08.2023):
```
conda install -c conda-forge pennylane
```
@@ -8521,19 +8284,19 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/PaddlePaddle/PaddleHub
```
-- [PyPi](https://pypi.org/project/paddlehub) (π₯ 4.3K / month Β· π¦ 6 Β· β±οΈ 28.12.2021):
+- [PyPi](https://pypi.org/project/paddlehub) (π₯ 4.1K / month Β· π¦ 6 Β· β±οΈ 28.12.2021):
```
pip install paddlehub
```
River (π₯32 Β· β 4.4K) - Online machine learning in Python. BSD-3
-- [GitHub](https://github.com/online-ml/river) (π¨βπ» 100 Β· π 480 Β· π¦ 350 Β· π 450 - 4% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/online-ml/river) (π¨βπ» 100 Β· π 500 Β· π¦ 350 Β· π 450 - 4% open Β· β±οΈ 02.09.2023):
```
git clone https://github.com/online-ml/river
```
-- [PyPi](https://pypi.org/project/river) (π₯ 16K / month Β· π¦ 25 Β· β±οΈ 26.06.2023):
+- [PyPi](https://pypi.org/project/river) (π₯ 17K / month Β· π¦ 29 Β· β±οΈ 03.09.2023):
```
pip install river
```
@@ -8553,7 +8316,7 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install agate
```
-- [Conda](https://anaconda.org/conda-forge/agate) (π₯ 140K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/agate) (π₯ 140K Β· β±οΈ 07.09.2023):
```
conda install -c conda-forge agate
```
@@ -8565,7 +8328,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/inducer/pyopencl
```
-- [PyPi](https://pypi.org/project/pyopencl) (π₯ 91K / month Β· π¦ 200 Β· β±οΈ 15.08.2023):
+- [PyPi](https://pypi.org/project/pyopencl) (π₯ 89K / month Β· π¦ 200 Β· β±οΈ 15.08.2023):
```
pip install pyopencl
```
@@ -8576,7 +8339,7 @@ _Libraries for connecting to, operating, and querying databases._
causalml (π₯31 Β· β 4.2K) - Uplift modeling and causal inference with machine learning.. Apache-2
-- [GitHub](https://github.com/uber/causalml) (π¨βπ» 56 Β· π 690 Β· π¦ 160 Β· π 350 - 25% open Β· β±οΈ 28.08.2023):
+- [GitHub](https://github.com/uber/causalml) (π¨βπ» 56 Β· π 690 Β· π¦ 160 Β· π 350 - 24% open Β· β±οΈ 01.09.2023):
```
git clone https://github.com/uber/causalml
@@ -8588,24 +8351,24 @@ _Libraries for connecting to, operating, and querying databases._
adapter-transformers (π₯31 Β· β 1.8K) - Huggingface Transformers + Adapters =. Apache-2 huggingface
-- [GitHub](https://github.com/adapter-hub/adapter-transformers) (π¨βπ» 1.7K Β· π 280 Β· π¦ 220 Β· π 340 - 19% open Β· β±οΈ 25.08.2023):
+- [GitHub](https://github.com/adapter-hub/adapter-transformers) (π¨βπ» 1.7K Β· π 280 Β· π¦ 230 Β· π 340 - 17% open Β· β±οΈ 25.08.2023):
```
git clone https://github.com/Adapter-Hub/adapter-transformers
```
-- [PyPi](https://pypi.org/project/adapter-transformers) (π₯ 17K / month Β· π¦ 7 Β· β±οΈ 18.05.2022):
+- [PyPi](https://pypi.org/project/adapter-transformers) (π₯ 18K / month):
```
pip install adapter-transformers
```
tensorly (π₯31 Β· β 1.4K) - TensorLy: Tensor Learning in Python. BSD-2
+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¦ 470 Β· π 240 - 23% open Β· β±οΈ 20.08.2023):
+- [GitHub](https://github.com/tensorly/tensorly) (π¨βπ» 66 Β· π 270 Β· π¦ 470 Β· π 240 - 24% open Β· β±οΈ 01.09.2023):
```
git clone https://github.com/tensorly/tensorly
```
-- [PyPi](https://pypi.org/project/tensorly) (π₯ 16K / month Β· π¦ 46 Β· β±οΈ 14.01.2023):
+- [PyPi](https://pypi.org/project/tensorly) (π₯ 17K / month Β· π¦ 47 Β· β±οΈ 14.01.2023):
```
pip install tensorly
```
@@ -8614,36 +8377,32 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge tensorly
```
datalad (π₯31 Β· β 450) - Keep code, data, containers under control with git and git-annex. MIT
+pyjanitor (π₯30 Β· β 1.2K) - Clean APIs for data cleaning. Python implementation of R package.. MIT
-- [GitHub](https://github.com/datalad/datalad) (π¨βπ» 55 Β· π 110 Β· π 3.9K - 13% open Β· β±οΈ 10.08.2023):
+- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (π¨βπ» 110 Β· π 160 Β· π¦ 450 Β· π 540 - 20% open Β· β±οΈ 03.08.2023):
```
- git clone https://github.com/datalad/datalad
+ git clone https://github.com/pyjanitor-devs/pyjanitor
```
-- [PyPi](https://pypi.org/project/datalad) (π₯ 11K / month Β· π¦ 62 Β· β±οΈ 10.08.2023):
+- [PyPi](https://pypi.org/project/pyjanitor) (π₯ 34K / month Β· π¦ 18 Β· β±οΈ 27.07.2023):
```
- pip install datalad
+ pip install pyjanitor
```
-- [Conda](https://anaconda.org/conda-forge/datalad) (π₯ 380K Β· β±οΈ 10.08.2023):
+- [Conda](https://anaconda.org/conda-forge/pyjanitor) (π₯ 180K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge datalad
+ conda install -c conda-forge pyjanitor
```
pyjanitor (π₯30 Β· β 1.2K) - Clean APIs for data cleaning. Python implementation of R package.. MIT
+pandas-ai (π₯29 Β· β 8.5K Β· π£) - PandasAI is a Python library that integrates generative artificial.. MIT
-- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (π¨βπ» 110 Β· π 160 Β· π¦ 450 Β· π 540 - 20% open Β· β±οΈ 03.08.2023):
+- [GitHub](https://github.com/gventuri/pandas-ai) (π¨βπ» 43 Β· π 650 Β· π¦ 2K Β· π 300 - 32% open Β· β±οΈ 05.09.2023):
```
- git clone https://github.com/pyjanitor-devs/pyjanitor
- ```
-- [PyPi](https://pypi.org/project/pyjanitor) (π₯ 32K / month Β· π¦ 18 Β· β±οΈ 27.07.2023):
- ```
- pip install pyjanitor
+ git clone https://github.com/gventuri/pandas-ai
```
-- [Conda](https://anaconda.org/conda-forge/pyjanitor) (π₯ 180K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/pandas-ai):
```
- conda install -c conda-forge pyjanitor
+ pip install pandas-ai
```
alibi-detect (π₯29 Β· β 1.9K) - Algorithms for outlier, adversarial and drift detection. Apache-2
@@ -8653,83 +8412,71 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/SeldonIO/alibi-detect
```
-- [PyPi](https://pypi.org/project/alibi-detect) (π₯ 16K / month Β· π¦ 6 Β· β±οΈ 01.06.2022):
+- [PyPi](https://pypi.org/project/alibi-detect) (π₯ 19K / month Β· π¦ 6 Β· β±οΈ 01.06.2022):
```
pip install alibi-detect
```
avalanche (π₯29 Β· β 1.4K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT
+avalanche (π₯29 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¦ 41 Β· π 740 - 11% open Β· β±οΈ 02.08.2023):
+- [GitHub](https://github.com/ContinualAI/avalanche) (π¨βπ» 72 Β· π 240 Β· π₯ 4 Β· π¦ 41 Β· π 730 - 10% open Β· β±οΈ 02.08.2023):
```
git clone https://github.com/ContinualAI/avalanche
```
-- [PyPi](https://pypi.org/project/avalanche-lib) (π₯ 1.5K / month Β· π¦ 1 Β· β±οΈ 28.07.2023):
+- [PyPi](https://pypi.org/project/avalanche-lib) (π₯ 1.4K / month):
```
pip install avalanche-lib
```
kmodes (π₯29 Β· β 1.2K) - Python implementations of the k-modes and k-prototypes clustering.. MIT
+pysc2 (π₯28 Β· β 7.8K) - StarCraft II Learning Environment. Apache-2
-- [GitHub](https://github.com/nicodv/kmodes) (π¨βπ» 22 Β· π 400 Β· π¦ 2.2K Β· π 160 - 10% open Β· β±οΈ 20.04.2023):
+- [GitHub](https://github.com/deepmind/pysc2) (π¨βπ» 39 Β· π 1.2K Β· π₯ 31K Β· π¦ 600 Β· π 280 - 16% open Β· β±οΈ 19.04.2023):
```
- git clone https://github.com/nicodv/kmodes
- ```
-- [PyPi](https://pypi.org/project/kmodes) (π₯ 170K / month Β· π¦ 33 Β· β±οΈ 14.04.2022):
- ```
- pip install kmodes
+ git clone https://github.com/deepmind/pysc2
```
-- [Conda](https://anaconda.org/conda-forge/kmodes) (π₯ 34K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/pysc2) (π₯ 1K / month Β· π¦ 26 Β· β±οΈ 13.07.2022):
```
- conda install -c conda-forge kmodes
+ pip install pysc2
```
pandas-ai (π₯28 Β· β 8.4K Β· π£) - PandasAI is a Python library that integrates generative artificial.. MIT
+anomalib (π₯28 Β· β 2.3K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2
-- [GitHub](https://github.com/gventuri/pandas-ai) (π¨βπ» 43 Β· π 640 Β· π¦ 1.8K Β· π 290 - 33% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/openvinotoolkit/anomalib) (π¨βπ» 50 Β· π 420 Β· π₯ 2.1K Β· π¦ 24 Β· π 530 - 5% open Β· β±οΈ 05.09.2023):
```
- git clone https://github.com/gventuri/pandas-ai
+ git clone https://github.com/openvinotoolkit/anomalib
```
-- [PyPi](https://pypi.org/project/pandas-ai):
+- [PyPi](https://pypi.org/project/anomalib) (π₯ 15K / month):
```
- pip install pandas-ai
+ pip install anomalib
```
pysc2 (π₯28 Β· β 7.8K) - StarCraft II Learning Environment. Apache-2
+kmodes (π₯28 Β· β 1.2K) - Python implementations of the k-modes and k-prototypes clustering.. MIT
-- [GitHub](https://github.com/deepmind/pysc2) (π¨βπ» 39 Β· π 1.2K Β· π₯ 31K Β· π¦ 590 Β· π 280 - 16% open Β· β±οΈ 19.04.2023):
+- [GitHub](https://github.com/nicodv/kmodes) (π¨βπ» 22 Β· π 400 Β· π¦ 2.2K Β· π 160 - 10% open Β· β±οΈ 20.04.2023):
```
- git clone https://github.com/deepmind/pysc2
- ```
-- [PyPi](https://pypi.org/project/pysc2) (π₯ 1K / month Β· π¦ 26 Β· β±οΈ 13.07.2022):
- ```
- pip install pysc2
+ git clone https://github.com/nicodv/kmodes
```
-anomalib (π₯28 Β· β 2.3K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2
-
-- [GitHub](https://github.com/openvinotoolkit/anomalib) (π¨βπ» 49 Β· π 420 Β· π₯ 2K Β· π¦ 24 Β· π 550 - 10% open Β· β±οΈ 28.08.2023):
-
+- [PyPi](https://pypi.org/project/kmodes) (π₯ 170K / month Β· π¦ 33 Β· β±οΈ 14.04.2022):
```
- git clone https://github.com/openvinotoolkit/anomalib
+ pip install kmodes
```
-- [PyPi](https://pypi.org/project/anomalib) (π₯ 14K / month Β· π¦ 1 Β· β±οΈ 29.08.2023):
+- [Conda](https://anaconda.org/conda-forge/kmodes) (π₯ 35K Β· β±οΈ 16.06.2023):
```
- pip install anomalib
+ conda install -c conda-forge kmodes
```
TabPy (π₯28 Β· β 1.4K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT
+TabPy (π₯27 Β· β 1.4K) - 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 21.06.2023):
```
git clone https://github.com/tableau/TabPy
```
-- [PyPi](https://pypi.org/project/tabpy) (π₯ 12K / month Β· π¦ 2 Β· β±οΈ 30.01.2023):
+- [PyPi](https://pypi.org/project/tabpy) (π₯ 13K / month Β· π¦ 2 Β· β±οΈ 30.01.2023):
```
pip install tabpy
```
@@ -8738,6 +8485,18 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c anaconda tabpy-client
```
pycm (π₯27 Β· β 1.4K) - Multi-class confusion matrix library in Python. MIT
+
+- [GitHub](https://github.com/sepandhaghighi/pycm) (π¨βπ» 17 Β· π 120 Β· π¦ 240 Β· π 200 - 5% open Β· β±οΈ 07.06.2023):
+
+ ```
+ git clone https://github.com/sepandhaghighi/pycm
+ ```
+- [PyPi](https://pypi.org/project/pycm) (π₯ 36K / month Β· π¦ 16 Β· β±οΈ 27.04.2022):
+ ```
+ pip install pycm
+ ```
+PySwarms (π₯27 Β· β 1.1K) - A research toolkit for particle swarm optimization in Python. MIT
- [GitHub](https://github.com/ljvmiranda921/pyswarms) (π¨βπ» 45 Β· π 320 Β· π¦ 300 Β· π 220 - 9% open Β· β±οΈ 06.06.2023):
@@ -8745,7 +8504,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/ljvmiranda921/pyswarms
```
-- [PyPi](https://pypi.org/project/pyswarms) (π₯ 8.9K / month Β· π¦ 14 Β· β±οΈ 03.01.2021):
+- [PyPi](https://pypi.org/project/pyswarms) (π₯ 8.2K / month Β· π¦ 14 Β· β±οΈ 03.01.2021):
```
pip install pyswarms
```
@@ -8773,38 +8532,14 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/google/trax
```
-- [PyPi](https://pypi.org/project/trax) (π₯ 5.2K / month Β· π¦ 1 Β· β±οΈ 26.10.2021):
+- [PyPi](https://pypi.org/project/trax) (π₯ 4.9K / month Β· π¦ 1 Β· β±οΈ 26.10.2021):
```
pip install trax
```
pycm (π₯26 Β· β 1.4K) - Multi-class confusion matrix library in Python. MIT
-
-- [GitHub](https://github.com/sepandhaghighi/pycm) (π¨βπ» 17 Β· π 120 Β· π¦ 240 Β· π 200 - 5% open Β· β±οΈ 07.06.2023):
-
- ```
- 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):
- ```
- pip install pycm
- ```
-AugLy (π₯25 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¦ 78 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₯ 2K / month Β· π¦ 3 Β· β±οΈ 28.03.2022):
- ```
- pip install augly
- ```
-Mars (π₯25 Β· β 2.6K) - Mars is a tensor-based unified framework for large-scale data.. Apache-2
-- [GitHub](https://github.com/mars-project/mars) (π¨βπ» 51 Β· π 310 Β· π 1.2K - 17% open Β· β±οΈ 03.07.2023):
+- [GitHub](https://github.com/mars-project/mars) (π¨βπ» 52 Β· π 310 Β· π 1.2K - 17% open Β· β±οΈ 01.09.2023):
```
git clone https://github.com/mars-project/mars
@@ -8821,7 +8556,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/modAL-python/modAL
```
-- [PyPi](https://pypi.org/project/modAL) (π₯ 32K / month Β· π¦ 2 Β· β±οΈ 31.08.2023):
+- [PyPi](https://pypi.org/project/modAL) (π₯ 46K / month Β· π¦ 2 Β· β±οΈ 06.09.2023):
```
pip install modAL
```
@@ -8837,7 +8572,7 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install feature_engine
```
-- [Conda](https://anaconda.org/conda-forge/feature_engine) (π₯ 38K Β· β±οΈ 10.07.2023):
+- [Conda](https://anaconda.org/conda-forge/feature_engine) (π₯ 39K Β· β±οΈ 10.07.2023):
```
conda install -c conda-forge feature_engine
```
@@ -8849,23 +8584,23 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/trevorstephens/gplearn
```
-- [PyPi](https://pypi.org/project/gplearn) (π₯ 4.7K / month Β· π¦ 13 Β· β±οΈ 03.05.2022):
+- [PyPi](https://pypi.org/project/gplearn) (π₯ 4.4K / month Β· π¦ 13 Β· β±οΈ 03.05.2022):
```
pip install gplearn
```
-- [Conda](https://anaconda.org/conda-forge/gplearn) (π₯ 5.9K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/gplearn) (π₯ 6K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge gplearn
```
dstack (π₯24 Β· β 780) - Train and deploy LLM models in multiple clouds (AWS, GCP, Azure,.. MPL-2.0
+dstack (π₯25 Β· β 790) - dstack is an open-source toolkit for running LLM workloads across any.. MPL-2.0
-- [GitHub](https://github.com/dstackai/dstack) (π¨βπ» 13 Β· π 53 Β· π¦ 11 Β· π 380 - 4% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/dstackai/dstack) (π¨βπ» 13 Β· π 53 Β· π¦ 11 Β· π 370 - 2% open Β· β±οΈ 01.09.2023):
```
git clone https://github.com/dstackai/dstack
```
-- [PyPi](https://pypi.org/project/dstack) (π₯ 1.1K / month Β· β±οΈ 31.08.2023):
+- [PyPi](https://pypi.org/project/dstack) (π₯ 770 / month):
```
pip install dstack
```
@@ -8877,7 +8612,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/rasbt/biopandas
```
-- [PyPi](https://pypi.org/project/biopandas) (π₯ 7.1K / month Β· π¦ 23 Β· β±οΈ 28.08.2023):
+- [PyPi](https://pypi.org/project/biopandas) (π₯ 7.6K / month Β· π¦ 23 Β· β±οΈ 28.08.2023):
```
pip install biopandas
```
@@ -8888,12 +8623,12 @@ _Libraries for connecting to, operating, and querying databases._
MONAILabel (π₯24 Β· β 450) - MONAI Label is an intelligent open source image labeling and.. Apache-2
-- [GitHub](https://github.com/Project-MONAI/MONAILabel) (π¨βπ» 51 Β· π 160 Β· π₯ 61K Β· π 450 - 17% open Β· β±οΈ 26.08.2023):
+- [GitHub](https://github.com/Project-MONAI/MONAILabel) (π¨βπ» 51 Β· π 160 Β· π₯ 62K Β· π 450 - 17% open Β· β±οΈ 31.08.2023):
```
git clone https://github.com/Project-MONAI/MONAILabel
```
-- [PyPi](https://pypi.org/project/monailabel-weekly) (π₯ 770 / month Β· β±οΈ 27.08.2023):
+- [PyPi](https://pypi.org/project/monailabel-weekly) (π₯ 620 / month):
```
pip install monailabel-weekly
```
@@ -8905,19 +8640,19 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/yzhao062/SUOD
```
-- [PyPi](https://pypi.org/project/suod) (π₯ 68K / month Β· π¦ 2 Β· β±οΈ 01.10.2021):
+- [PyPi](https://pypi.org/project/suod) (π₯ 71K / month Β· π¦ 2 Β· β±οΈ 01.10.2021):
```
pip install suod
```
AstroML (π₯23 Β· β 940 Β· π€) - Machine learning, statistics, and data mining for astronomy and.. BSD-2
+AstroML (π₯22 Β· β 940 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):
```
git clone https://github.com/astroML/astroML
```
-- [PyPi](https://pypi.org/project/astroML) (π₯ 1.1K / month Β· π¦ 35 Β· β±οΈ 01.03.2022):
+- [PyPi](https://pypi.org/project/astroML) (π₯ 950 / month Β· π¦ 35 Β· β±οΈ 01.03.2022):
```
pip install astroML
```
@@ -8926,14 +8661,14 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge astroml
```
benchmark_VAE (π₯20 Β· β 1.5K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2
+benchmark_VAE (π₯21 Β· β 1.5K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2
-- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (π¨βπ» 13 Β· π 120 Β· π¦ 11 Β· π 42 - 30% open Β· β±οΈ 19.07.2023):
+- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (π¨βπ» 13 Β· π 120 Β· π¦ 13 Β· π 41 - 29% open Β· β±οΈ 06.09.2023):
```
git clone https://github.com/clementchadebec/benchmark_VAE
```
-- [PyPi](https://pypi.org/project/pythae) (π₯ 500 / month Β· β±οΈ 07.09.2022):
+- [PyPi](https://pypi.org/project/pythae) (π₯ 580 / month):
```
pip install pythae
```
@@ -8945,68 +8680,70 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/kLabUM/rrcf
```
-- [PyPi](https://pypi.org/project/rrcf) (π₯ 2.4K / month Β· π¦ 8 Β· β±οΈ 10.06.2020):
+- [PyPi](https://pypi.org/project/rrcf) (π₯ 1.9K / month Β· π¦ 8 Β· β±οΈ 10.06.2020):
```
pip install rrcf
```
pykale (π₯20 Β· β 400) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT
+pykale (π₯19 Β· β 400) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT
-- [GitHub](https://github.com/pykale/pykale) (π¨βπ» 20 Β· π 56 Β· π¦ 1 Β· π 110 - 8% open Β· β±οΈ 21.07.2023):
+- [GitHub](https://github.com/pykale/pykale) (π¨βπ» 20 Β· π 56 Β· π¦ 1 Β· π 100 - 0% open Β· β±οΈ 21.07.2023):
```
git clone https://github.com/pykale/pykale
```
-- [PyPi](https://pypi.org/project/pykale) (π₯ 61 / month Β· β±οΈ 12.04.2022):
+- [PyPi](https://pypi.org/project/pykale) (π₯ 14 / month):
```
pip install pykale
```
NeuralCompression (π₯18 Β· β 380) - 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 25.08.2023):
+- [GitHub](https://github.com/facebookresearch/NeuralCompression) (π¨βπ» 9 Β· π 38 Β· π 66 - 4% open Β· β±οΈ 25.08.2023):
```
git clone https://github.com/facebookresearch/NeuralCompression
```
-- [PyPi](https://pypi.org/project/neuralcompression) (π₯ 200 / month Β· β±οΈ 25.08.2023):
+- [PyPi](https://pypi.org/project/neuralcompression) (π₯ 200 / month):
```
pip install neuralcompression
```
KD-Lib (π₯15 Β· β 540) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT
-- [GitHub](https://github.com/SforAiDl/KD_Lib) (π¨βπ» 6 Β· π 50 Β· π 67 - 26% open Β· β±οΈ 01.03.2023):
+- [GitHub](https://github.com/SforAiDl/KD_Lib) (π¨βπ» 6 Β· π 49 Β· π 62 - 20% open Β· β±οΈ 01.03.2023):
```
git clone https://github.com/SforAiDl/KD_Lib
```
-- [PyPi](https://pypi.org/project/KD-Lib) (π₯ 75 / month Β· β±οΈ 18.05.2022):
+- [PyPi](https://pypi.org/project/KD-Lib) (π₯ 62 / month):
```
pip install KD-Lib
```
Show 19 hidden projects...
+Show 21 hidden projects...
-- cleanlab (π₯30 Β· β 6.4K) - The standard data-centric AI package for data quality and machine.. βοΈAGPL-3.0
+- cleanlab (π₯30 Β· β 6.5K) - 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
-- metric-learn (π₯27 Β· β 1.3K Β· π) - Metric learning algorithms in Python. MIT βοΈCC-BY-3.0
-- findspark (π₯25 Β· β 490 Β· π) - Find pyspark to make it importable. BSD-3 βUnlicensed
-- vecstack (π₯23 Β· β 680 Β· π) - Python package for stacking (machine learning technique). MIT
+- pyclustering (π₯27 Β· β 1.1K Β· π) - pyclustering is a Python, C++ data mining library. BSD-3
+- metric-learn (π₯26 Β· β 1.3K Β· π) - Metric learning algorithms in Python. MIT βοΈCC-BY-3.0
+- datalad (π₯26 Β· β 450 Β· π) - Keep code, data, containers under control with git and git-.. βUnlicensed
+- findspark (π₯24 Β· β 490 Β· π) - Find pyspark to make it importable. BSD-3 βUnlicensed
+- metricflow (π₯23 Β· β 950) - MetricFlow allows you to define, build, and maintain metrics.. βUnlicensed
- mlens (π₯22 Β· β 800 Β· π) - ML-Ensemble high performance ensemble learning. MIT
-- opyrator (π₯21 Β· β 2.9K Β· π) - Turns your machine learning code into microservices with web API,.. MIT
-- scikit-rebate (π₯21 Β· β 390 Β· π) - A scikit-learn-compatible Python implementation of.. MIT MIT
+- apricot (π₯21 Β· β 480 Β· π) - apricot implements submodular optimization for the purpose of.. MIT
- 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
-- pymdp (π₯19 Β· β 290) - A Python implementation of active inference for Markov Decision Processes. 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
- traingenerator (π₯14 Β· β 1.3K Β· π) - A web app to generate template code for machine learning. MIT
-- nylon (π₯12 Β· β 82 Β· π) - An intelligent, flexible grammar of machine learning. MIT
+- nylon (π₯10 Β· β 82 Β· π) - An intelligent, flexible grammar of machine learning. MIT
BSD-3 Apache-2 Apache-2 Apache-2 BSD-3
+- PyFlink (π₯36 Β· β 22K Β· π) - Apache Flink Python API. Apache-2
+- Ignite (π₯35 Β· β 4.3K Β· π) - High-level library to help with training and evaluating neural.. BSD-3 BSD-3 BSD-3
+- DeepMatcher (π₯22 Β· β 4.8K Β· π) - Python package for performing Entity and Text Matching using.. BSD-3
+
+## 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._
+
+- Bokeh (π₯42 Β· β 18K Β· π) - Interactive Data Visualization in the browser, from Python. BSD-3
+- PyTorch Geometric (π₯34 Β· β 18K Β· π) - Graph Neural Network Library for PyTorch. MIT Apache-2
+- datalad (π₯26 Β· β 450 Β· π) - Keep code, data, containers under control with git and git-.. βUnlicensed
+- eli5 (π₯23 Β· β 2.7K Β· π) - A library for debugging/inspecting machine learning classifiers and.. MIT
+- torch-scatter (π₯22 Β· β 1.3K Β· π) - PyTorch Extension Library of Optimized Scatter Operations. MIT BSD-3 Apache-2 βUnlicensed
+- sklearn-evaluation (π₯9 Β· β 2 Β· π€) - Machine learning model evaluation made easy: plots,.. MIT BSD-3
-- Plotly (π₯43 Β· β 14K Β· π) - The interactive graphing library for Python This project now includes.. MIT
-- Catboost (π₯41 Β· β 7.3K Β· π) - A fast, scalable, high performance Gradient Boosting on.. Apache-2
-- PyTorch Geometric (π₯38 Β· β 18K Β· π) - Graph Neural Network Library for PyTorch. MIT MIT
-- HoloViews (π₯35 Β· β 2.5K Β· π) - With Holoviews, your data visualizes itself. BSD-3 MIT
-- Sweetviz (π₯29 Β· β 2.6K Β· π) - Visualize and compare datasets, target values and associations, with.. MIT
-- EfficientNet-PyTorch (π₯27 Β· β 7.5K Β· π) - A PyTorch implementation of EfficientNet and.. Apache-2 βοΈPIL
+- PyTorch (π₯53 Β· β 71K Β· π) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 Apache-2 Apache-2 Apache-2 BSD-3
+- PyFlink (π₯36 Β· β 22K Β· π) - Apache Flink Python API. Apache-2
+- Ignite (π₯35 Β· β 4.3K Β· π) - High-level library to help with training and evaluating neural.. BSD-3 BSD-3 BSD-3
+- DeepMatcher (π₯22 Β· β 4.8K Β· π) - Python package for performing Entity and Text Matching using.. BSD-3
## 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 (π₯47 Β· β 70K Β· π) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 Apache-2 Apache-2 βUnlicensed
-- InsightFace (π₯32 Β· β 18K Β· π) - State-of-the-art 2D and 3D Face Analysis Project. βUnlicensed βUnlicensed BSD-3 Apache-2
-- DeepSpeech (π₯24 Β· β 23K Β· π) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 Apache-2
+- Bokeh (π₯42 Β· β 18K Β· π) - Interactive Data Visualization in the browser, from Python. BSD-3
+- PyTorch Geometric (π₯34 Β· β 18K Β· π) - Graph Neural Network Library for PyTorch. MIT Apache-2
+- datalad (π₯26 Β· β 450 Β· π) - Keep code, data, containers under control with git and git-.. βUnlicensed
+- eli5 (π₯23 Β· β 2.7K Β· π) - A library for debugging/inspecting machine learning classifiers and.. MIT
+- torch-scatter (π₯22 Β· β 1.3K Β· π) - PyTorch Extension Library of Optimized Scatter Operations. MIT BSD-3 Apache-2 βUnlicensed
+- sklearn-evaluation (π₯9 Β· β 2 Β· π€) - Machine learning model evaluation made easy: plots,.. MIT