diff --git a/README.md b/README.md
index c77fa8d..085bffb 100644
--- a/README.md
+++ b/README.md
@@ -56,7 +56,7 @@ This curated list contains 920 awesome open-source projects with a total of 4.7M
- [Model Serialization & Deployment](#model-serialization--deployment) _20 projects_
- [Model Interpretability](#model-interpretability) _54 projects_
- [Vector Similarity Search (ANN)](#vector-similarity-search-ann) _13 projects_
-- [Probabilistics & Statistics](#probabilistics--statistics) _23 projects_
+- [Probabilistics & Statistics](#probabilistics--statistics) _24 projects_
- [Adversarial Robustness](#adversarial-robustness) _9 projects_
- [GPU & Accelerator Utilities](#gpu--accelerator-utilities) _20 projects_
- [Tensorflow Utilities](#tensorflow-utilities) _16 projects_
@@ -101,7 +101,7 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (π₯55 Β· β 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2 
-- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.7K Β· π 74K Β· π¦ 420K Β· π 44K - 12% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.7K Β· π 74K Β· π¦ 430K Β· π 44K - 12% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/tensorflow/tensorflow
@@ -114,19 +114,19 @@ _General-purpose machine learning and deep learning frameworks._
```
conda install -c conda-forge tensorflow
```
-- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 78M Β· β 2.6K Β· β±οΈ 31.10.2024):
+- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 78M Β· β 2.6K Β· β±οΈ 07.11.2024):
```
docker pull tensorflow/tensorflow
```
PyTorch (π₯55 Β· β 83K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 
+PyTorch (π₯55 Β· β 84K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3
-- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 5.2K Β· π 23K Β· π₯ 63K Β· π¦ 560K Β· π 47K - 32% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 5.2K Β· π 23K Β· π₯ 64K Β· π¦ 560K Β· π 47K - 32% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/pytorch/pytorch
```
-- [PyPi](https://pypi.org/project/torch) (π₯ 33M / month Β· π¦ 20K Β· β±οΈ 29.10.2024):
+- [PyPi](https://pypi.org/project/torch) (π₯ 32M / month Β· π¦ 20K Β· β±οΈ 29.10.2024):
```
pip install torch
```
@@ -135,14 +135,14 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c pytorch pytorch
```
scikit-learn (π₯53 Β· β 60K Β· π) - scikit-learn: machine learning in Python. BSD-3 
+scikit-learn (π₯53 Β· β 60K) - scikit-learn: machine learning in Python. BSD-3
-- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3.2K Β· π 25K Β· π₯ 1K Β· π¦ 930K Β· π 12K - 17% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3.2K Β· π 25K Β· π₯ 1K Β· π¦ 940K Β· π 12K - 17% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/scikit-learn/scikit-learn
```
-- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 79M / month Β· π¦ 25K Β· β±οΈ 11.09.2024):
+- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 78M / month Β· π¦ 25K Β· β±οΈ 11.09.2024):
```
pip install scikit-learn
```
@@ -153,7 +153,7 @@ _General-purpose machine learning and deep learning frameworks._
Keras (π₯48 Β· β 62K) - Deep Learning for humans. Apache-2
-- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.3K Β· π 19K Β· π 12K - 2% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.3K Β· π 19K Β· π 12K - 2% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/keras-team/keras
@@ -169,12 +169,12 @@ _General-purpose machine learning and deep learning frameworks._
XGBoost (π₯46 Β· β 26K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
-- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 650 Β· π 8.7K Β· π₯ 12K Β· π¦ 110K Β· π 5.4K - 8% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 650 Β· π 8.7K Β· π₯ 12K Β· π¦ 110K Β· π 5.4K - 8% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/dmlc/xgboost
```
-- [PyPi](https://pypi.org/project/xgboost) (π₯ 28M / month Β· π¦ 2K Β· β±οΈ 23.10.2024):
+- [PyPi](https://pypi.org/project/xgboost) (π₯ 27M / month Β· π¦ 2K Β· β±οΈ 23.10.2024):
```
pip install xgboost
```
@@ -185,7 +185,7 @@ _General-purpose machine learning and deep learning frameworks._
PySpark (π₯45 Β· β 40K) - Apache Spark Python API. Apache-2 
-- [GitHub](https://github.com/apache/spark) (π¨βπ» 3.1K Β· π 28K Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/apache/spark) (π¨βπ» 3.1K Β· π 28K Β· β±οΈ 07.11.2024):
```
git clone https://github.com/apache/spark
@@ -201,12 +201,12 @@ _General-purpose machine learning and deep learning frameworks._
jax (π₯45 Β· β 30K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
-- [GitHub](https://github.com/jax-ml/jax) (π¨βπ» 780 Β· π 2.8K Β· π¦ 32K Β· π 5.7K - 25% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/jax-ml/jax) (π¨βπ» 780 Β· π 2.8K Β· π¦ 32K Β· π 5.7K - 25% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/google/jax
```
-- [PyPi](https://pypi.org/project/jax) (π₯ 4.1M / month Β· π¦ 1.9K Β· β±οΈ 22.10.2024):
+- [PyPi](https://pypi.org/project/jax) (π₯ 4.2M / month Β· π¦ 1.9K Β· β±οΈ 22.10.2024):
```
pip install jax
```
@@ -217,12 +217,12 @@ _General-purpose machine learning and deep learning frameworks._
PaddlePaddle (π₯45 Β· β 22K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 
-- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.3K Β· π 5.6K Β· π₯ 15K Β· π¦ 6.2K Β· π 19K - 9% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.3K Β· π 5.6K Β· π₯ 15K Β· π¦ 6.2K Β· π 19K - 9% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/PaddlePaddle/Paddle
```
-- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 310K / month Β· π¦ 180 Β· β±οΈ 13.09.2024):
+- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 330K / month Β· π¦ 190 Β· β±οΈ 01.11.2024):
```
pip install paddlepaddle
```
@@ -238,14 +238,14 @@ _General-purpose machine learning and deep learning frameworks._
```
pip install statsmodels
```
-- [Conda](https://anaconda.org/conda-forge/statsmodels) (π₯ 15M Β· β±οΈ 03.10.2024):
+- [Conda](https://anaconda.org/conda-forge/statsmodels) (π₯ 16M Β· β±οΈ 03.10.2024):
```
conda install -c conda-forge statsmodels
```
pytorch-lightning (π₯43 Β· β 28K Β· π) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2
+pytorch-lightning (π₯43 Β· β 28K) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (π¨βπ» 980 Β· π 3.4K Β· π₯ 10K Β· π¦ 38K Β· π 7.1K - 11% open Β· β±οΈ 21.10.2024):
+- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (π¨βπ» 980 Β· π 3.4K Β· π₯ 10K Β· π¦ 38K Β· π 7.1K - 11% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/Lightning-AI/lightning
@@ -261,12 +261,12 @@ _General-purpose machine learning and deep learning frameworks._
LightGBM (π₯43 Β· β 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
-- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 320 Β· π 3.8K Β· π₯ 240K Β· π¦ 39K Β· π 3.4K - 10% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 320 Β· π 3.8K Β· π₯ 240K Β· π¦ 39K Β· π 3.4K - 10% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/microsoft/LightGBM
```
-- [PyPi](https://pypi.org/project/lightgbm) (π₯ 9.3M / month Β· π¦ 1.1K Β· β±οΈ 26.07.2024):
+- [PyPi](https://pypi.org/project/lightgbm) (π₯ 9.5M / month Β· π¦ 1.1K Β· β±οΈ 26.07.2024):
```
pip install lightgbm
```
@@ -277,16 +277,16 @@ _General-purpose machine learning and deep learning frameworks._
Catboost (π₯42 Β· β 8.1K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
-- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.3K Β· π 1.2K Β· π₯ 320K Β· π¦ 15 Β· π 2.3K - 23% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.3K Β· π 1.2K Β· π₯ 320K Β· π¦ 15 Β· π 2.3K - 23% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/catboost/catboost
```
-- [PyPi](https://pypi.org/project/catboost) (π₯ 3.3M / month Β· π¦ 540 Β· β±οΈ 07.09.2024):
+- [PyPi](https://pypi.org/project/catboost) (π₯ 3.4M / month Β· π¦ 540 Β· β±οΈ 07.09.2024):
```
pip install catboost
```
-- [Conda](https://anaconda.org/conda-forge/catboost) (π₯ 1.7M Β· β±οΈ 07.09.2024):
+- [Conda](https://anaconda.org/conda-forge/catboost) (π₯ 1.8M Β· β±οΈ 07.09.2024):
```
conda install -c conda-forge catboost
```
@@ -298,55 +298,55 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/fastai/fastai
```
-- [PyPi](https://pypi.org/project/fastai) (π₯ 470K / month Β· π¦ 310 Β· β±οΈ 19.10.2024):
+- [PyPi](https://pypi.org/project/fastai) (π₯ 490K / month Β· π¦ 310 Β· β±οΈ 19.10.2024):
```
pip install fastai
```
PyFlink (π₯38 Β· β 24K) - Apache Flink Python API. Apache-2
-- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.9K Β· π 13K Β· π¦ 21 Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.9K Β· π 13K Β· π¦ 21 Β· β±οΈ 07.11.2024):
```
git clone https://github.com/apache/flink
```
-- [PyPi](https://pypi.org/project/apache-flink) (π₯ 200K / month Β· π¦ 35 Β· β±οΈ 01.08.2024):
+- [PyPi](https://pypi.org/project/apache-flink) (π₯ 220K / month Β· π¦ 35 Β· β±οΈ 01.08.2024):
```
pip install apache-flink
```
Flax (π₯38 Β· β 6.1K) - Flax is a neural network library for JAX that is designed for.. Apache-2 
-- [GitHub](https://github.com/google/flax) (π¨βπ» 240 Β· π 640 Β· π₯ 55 Β· π¦ 9.8K Β· π 1K - 28% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/google/flax) (π¨βπ» 240 Β· π 640 Β· π₯ 55 Β· π¦ 10K Β· π 1K - 28% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/google/flax
```
-- [PyPi](https://pypi.org/project/flax) (π₯ 890K / month Β· π¦ 470 Β· β±οΈ 16.10.2024):
+- [PyPi](https://pypi.org/project/flax) (π₯ 890K / month Β· π¦ 480 Β· β±οΈ 31.10.2024):
```
pip install flax
```
-- [Conda](https://anaconda.org/conda-forge/flax) (π₯ 75K Β· β±οΈ 24.10.2024):
+- [Conda](https://anaconda.org/conda-forge/flax) (π₯ 76K Β· β±οΈ 01.11.2024):
```
conda install -c conda-forge flax
```
Jina (π₯37 Β· β 21K Β· π) - Build multimodal AI applications with cloud-native stack. Apache-2
+Jina (π₯37 Β· β 21K) - Build multimodal AI applications with cloud-native stack. Apache-2
-- [GitHub](https://github.com/jina-ai/serve) (π¨βπ» 180 Β· π 2.2K Β· π 1.9K - 0% open Β· β±οΈ 25.10.2024):
+- [GitHub](https://github.com/jina-ai/serve) (π¨βπ» 180 Β· π 2.2K Β· π 1.9K - 0% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/jina-ai/jina
```
-- [PyPi](https://pypi.org/project/jina) (π₯ 170K / month Β· π¦ 27 Β· β±οΈ 25.10.2024):
+- [PyPi](https://pypi.org/project/jina) (π₯ 150K / month Β· π¦ 27 Β· β±οΈ 05.11.2024):
```
pip install jina
```
-- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 78K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 79K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge jina-core
```
-- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (π₯ 1.7M Β· β 8 Β· β±οΈ 25.10.2024):
+- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (π₯ 1.8M Β· β 8 Β· β±οΈ 05.11.2024):
```
docker pull jinaai/jina
```
@@ -358,7 +358,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/Theano/Theano
```
-- [PyPi](https://pypi.org/project/theano) (π₯ 87K / month Β· π¦ 170 Β· β±οΈ 27.07.2020):
+- [PyPi](https://pypi.org/project/theano) (π₯ 86K / month Β· π¦ 170 Β· β±οΈ 27.07.2020):
```
pip install theano
```
@@ -369,12 +369,12 @@ _General-purpose machine learning and deep learning frameworks._
einops (π₯36 Β· β 8.5K) - Flexible and powerful tensor operations for readable and reliable code.. MIT
-- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 30 Β· π 340 Β· π¦ 49K Β· π 180 - 19% open Β· β±οΈ 13.10.2024):
+- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 30 Β· π 340 Β· π¦ 50K Β· π 190 - 18% open Β· β±οΈ 13.10.2024):
```
git clone https://github.com/arogozhnikov/einops
```
-- [PyPi](https://pypi.org/project/einops) (π₯ 5.3M / month Β· π¦ 2K Β· β±οΈ 28.04.2024):
+- [PyPi](https://pypi.org/project/einops) (π₯ 5.4M / month Β· π¦ 2K Β· β±οΈ 28.04.2024):
```
pip install einops
```
@@ -406,7 +406,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/VowpalWabbit/vowpal_wabbit
```
-- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 59K / month Β· π¦ 40 Β· β±οΈ 08.08.2024):
+- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 57K / month Β· π¦ 40 Β· β±οΈ 08.08.2024):
```
pip install vowpalwabbit
```
@@ -417,12 +417,12 @@ _General-purpose machine learning and deep learning frameworks._
mlpack (π₯35 Β· β 5.1K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
-- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 320 Β· π 1.6K Β· π 1.6K - 1% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 320 Β· π 1.6K Β· π 1.6K - 1% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/mlpack/mlpack
```
-- [PyPi](https://pypi.org/project/mlpack) (π₯ 14K / month Β· π¦ 4 Β· β±οΈ 20.09.2024):
+- [PyPi](https://pypi.org/project/mlpack) (π₯ 12K / month Β· π¦ 4 Β· β±οΈ 20.09.2024):
```
pip install mlpack
```
@@ -433,12 +433,12 @@ _General-purpose machine learning and deep learning frameworks._
Ignite (π₯35 Β· β 4.5K) - High-level library to help with training and evaluating neural.. BSD-3
-- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 680 Β· π 620 Β· π¦ 3.3K Β· π 1.4K - 10% open Β· β±οΈ 21.10.2024):
+- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 680 Β· π 620 Β· π¦ 3.3K Β· π 1.4K - 10% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/pytorch/ignite
```
-- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 250K / month Β· π¦ 99 Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 240K / month Β· π¦ 99 Β· β±οΈ 07.11.2024):
```
pip install pytorch-ignite
```
@@ -454,7 +454,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/ludwig-ai/ludwig
```
-- [PyPi](https://pypi.org/project/ludwig) (π₯ 4.4K / month Β· π¦ 6 Β· β±οΈ 30.07.2024):
+- [PyPi](https://pypi.org/project/ludwig) (π₯ 3.7K / month Β· π¦ 6 Β· β±οΈ 30.07.2024):
```
pip install ludwig
```
@@ -466,7 +466,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/deepmind/dm-haiku
```
-- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 240K / month Β· π¦ 180 Β· β±οΈ 16.10.2024):
+- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 250K / month Β· π¦ 180 Β· β±οΈ 16.10.2024):
```
pip install dm-haiku
```
@@ -482,7 +482,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/deepmind/sonnet
```
-- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 24K / month Β· π¦ 19 Β· β±οΈ 02.01.2024):
+- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 23K / month Β· π¦ 19 Β· β±οΈ 02.01.2024):
```
pip install dm-sonnet
```
@@ -491,22 +491,6 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge sonnet
```
skorch (π₯31 Β· β 5.9K) - A scikit-learn compatible neural network library that wraps.. BSD-3
-
-- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 62 Β· π 390 Β· π¦ 1.4K Β· π 520 - 11% open Β· β±οΈ 20.09.2024):
-
- ```
- git clone https://github.com/skorch-dev/skorch
- ```
-- [PyPi](https://pypi.org/project/skorch) (π₯ 150K / month Β· π¦ 85 Β· β±οΈ 27.05.2024):
- ```
- pip install skorch
- ```
-- [Conda](https://anaconda.org/conda-forge/skorch) (π₯ 790K Β· β±οΈ 30.05.2024):
- ```
- conda install -c conda-forge skorch
- ```
-dyNET (π₯31 Β· β 3.4K Β· π€) - DyNet: The Dynamic Neural Network Toolkit. Apache-2
- [GitHub](https://github.com/clab/dynet) (π¨βπ» 160 Β· π 700 Β· π₯ 17K Β· π¦ 260 Β· π 950 - 29% open Β· β±οΈ 08.11.2023):
@@ -521,31 +505,47 @@ _General-purpose machine learning and deep learning frameworks._
Determined (π₯31 Β· β 3K) - Determined is an open-source machine learning platform.. Apache-2
-- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 120 Β· π 350 Β· π₯ 12K Β· π 460 - 23% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 120 Β· π 350 Β· π₯ 11K Β· π 460 - 24% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/determined-ai/determined
```
-- [PyPi](https://pypi.org/project/determined) (π₯ 56K / month Β· π¦ 4 Β· β±οΈ 30.10.2024):
+- [PyPi](https://pypi.org/project/determined) (π₯ 54K / month Β· π¦ 4 Β· β±οΈ 04.11.2024):
```
pip install determined
```
tensorflow-upstream (π₯31 Β· β 680) - TensorFlow ROCm port. Apache-2
+tensorflow-upstream (π₯31 Β· β 690) - TensorFlow ROCm port. Apache-2
-- [GitHub](https://github.com/ROCm/tensorflow-upstream) (π¨βπ» 4.7K Β· π 94 Β· π₯ 25 Β· π 380 - 24% open Β· β±οΈ 25.10.2024):
+- [GitHub](https://github.com/ROCm/tensorflow-upstream) (π¨βπ» 4.7K Β· π 94 Β· π₯ 25 Β· π 380 - 24% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
```
-- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 6.5K / month Β· π¦ 9 Β· β±οΈ 10.01.2024):
+- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 6.4K / month Β· π¦ 9 Β· β±οΈ 10.01.2024):
```
pip install tensorflow-rocm
```
skorch (π₯30 Β· β 5.9K) - A scikit-learn compatible neural network library that wraps.. BSD-3
+
+- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 62 Β· π 390 Β· π¦ 1.4K Β· π 520 - 11% open Β· β±οΈ 05.11.2024):
+
+ ```
+ git clone https://github.com/skorch-dev/skorch
+ ```
+- [PyPi](https://pypi.org/project/skorch) (π₯ 150K / month Β· π¦ 85 Β· β±οΈ 27.05.2024):
+ ```
+ pip install skorch
+ ```
+- [Conda](https://anaconda.org/conda-forge/skorch) (π₯ 790K Β· β±οΈ 30.05.2024):
+ ```
+ conda install -c conda-forge skorch
+ ```
+Geomstats (π₯30 Β· β 1.3K) - Computations and statistics on manifolds with geometric structures. MIT
-- [GitHub](https://github.com/geomstats/geomstats) (π¨βπ» 93 Β· π 240 Β· π¦ 120 Β· π 560 - 37% open Β· β±οΈ 08.10.2024):
+- [GitHub](https://github.com/geomstats/geomstats) (π¨βπ» 93 Β· π 240 Β· π¦ 130 Β· π 560 - 37% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/geomstats/geomstats
@@ -559,7 +559,7 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge geomstats
```
Neural Network Libraries (π₯29 Β· β 2.7K) - Neural Network Libraries. Apache-2
+Neural Network Libraries (π₯28 Β· β 2.7K) - Neural Network Libraries. Apache-2
- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 76 Β· π 330 Β· π₯ 980 Β· π 95 - 36% open Β· β±οΈ 24.09.2024):
@@ -571,7 +571,7 @@ _General-purpose machine learning and deep learning frameworks._
pip install nnabla
```
ktrain (π₯29 Β· β 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2
+ktrain (π₯28 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» 17 Β· π 270 Β· π¦ 560 Β· π 500 - 0% open Β· β±οΈ 09.07.2024):
@@ -590,7 +590,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/georgia-tech-db/eva
```
-- [PyPi](https://pypi.org/project/evadb) (π₯ 3.6K / month Β· β±οΈ 19.11.2023):
+- [PyPi](https://pypi.org/project/evadb) (π₯ 3.2K / month Β· β±οΈ 19.11.2023):
```
pip install evadb
```
@@ -602,11 +602,11 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/pyRiemann/pyRiemann
```
-- [PyPi](https://pypi.org/project/pyriemann) (π₯ 39K / month Β· π¦ 28 Β· β±οΈ 03.10.2024):
+- [PyPi](https://pypi.org/project/pyriemann) (π₯ 38K / month Β· π¦ 28 Β· β±οΈ 03.10.2024):
```
pip install pyriemann
```
-- [Conda](https://anaconda.org/conda-forge/pyriemann) (π₯ 8.4K Β· β±οΈ 04.10.2024):
+- [Conda](https://anaconda.org/conda-forge/pyriemann) (π₯ 8.5K Β· β±οΈ 04.10.2024):
```
conda install -c conda-forge pyriemann
```
@@ -618,7 +618,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/towhee-io/towhee
```
-- [PyPi](https://pypi.org/project/towhee) (π₯ 16K / month Β· β±οΈ 04.12.2023):
+- [PyPi](https://pypi.org/project/towhee) (π₯ 17K / month Β· β±οΈ 04.12.2023):
```
pip install towhee
```
@@ -646,59 +646,47 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/google/neural-tangents
```
-- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 3.4K / month Β· π¦ 1 Β· β±οΈ 11.12.2023):
+- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 3K / month Β· π¦ 1 Β· β±οΈ 11.12.2023):
```
pip install neural-tangents
```
fklearn (π₯24 Β· β 1.5K) - fklearn: Functional Machine Learning. Apache-2
+fklearn (π₯23 Β· β 1.5K) - fklearn: Functional Machine Learning. Apache-2
- [GitHub](https://github.com/nubank/fklearn) (π¨βπ» 56 Β· π 160 Β· π¦ 15 Β· π 65 - 61% open Β· β±οΈ 14.08.2024):
```
git clone https://github.com/nubank/fklearn
```
-- [PyPi](https://pypi.org/project/fklearn) (π₯ 4.2K / month Β· β±οΈ 14.08.2024):
+- [PyPi](https://pypi.org/project/fklearn) (π₯ 3.4K / month Β· β±οΈ 14.08.2024):
```
pip install fklearn
```
Runhouse (π₯23 Β· β 970) - Dispatch and distribute your ML training to serverless clusters in.. Apache-2
-- [GitHub](https://github.com/run-house/runhouse) (π¨βπ» 15 Β· π 35 Β· π₯ 53 Β· π 51 - 17% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/run-house/runhouse) (π¨βπ» 15 Β· π 35 Β· π₯ 54 Β· π 51 - 17% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/run-house/runhouse
```
-- [PyPi](https://pypi.org/project/runhouse) (π₯ 6.9K / month Β· π¦ 1 Β· β±οΈ 18.09.2024):
+- [PyPi](https://pypi.org/project/runhouse) (π₯ 7.7K / month Β· π¦ 1 Β· β±οΈ 18.09.2024):
```
pip install runhouse
```
ThunderSVM (π₯22 Β· β 1.6K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
+ThunderSVM (π₯22 Β· β 1.6K Β· π€) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
- [GitHub](https://github.com/Xtra-Computing/thundersvm) (π¨βπ» 37 Β· π 220 Β· π₯ 2.9K Β· π 230 - 35% open Β· β±οΈ 01.04.2024):
```
git clone https://github.com/Xtra-Computing/thundersvm
```
-- [PyPi](https://pypi.org/project/thundersvm) (π₯ 1.4K / month Β· β±οΈ 13.03.2020):
+- [PyPi](https://pypi.org/project/thundersvm) (π₯ 1.6K / month Β· β±οΈ 13.03.2020):
```
pip install thundersvm
```
Objax (π₯22 Β· β 770 Β· π€) - Objax is a machine learning framework that provides an Object.. Apache-2
-
-- [GitHub](https://github.com/google/objax) (π¨βπ» 26 Β· π 78 Β· π¦ 60 Β· π 110 - 45% open Β· β±οΈ 27.01.2024):
-
- ```
- git clone https://github.com/google/objax
- ```
-- [PyPi](https://pypi.org/project/objax) (π₯ 1.4K / month Β· π¦ 4 Β· β±οΈ 06.11.2023):
- ```
- pip install objax
- ```
-NeoML (π₯22 Β· β 770) - Machine learning framework for both deep learning and traditional.. Apache-2
- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 40 Β· π 130 Β· π¦ 2 Β· π 91 - 40% open Β· β±οΈ 30.09.2024):
@@ -706,7 +694,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/neoml-lib/neoml
```
-- [PyPi](https://pypi.org/project/neoml) (π₯ 3.2K / month Β· β±οΈ 26.12.2023):
+- [PyPi](https://pypi.org/project/neoml) (π₯ 2.4K / month Β· β±οΈ 26.12.2023):
```
pip install neoml
```
@@ -718,7 +706,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/pytorchbearer/torchbearer
```
-- [PyPi](https://pypi.org/project/torchbearer) (π₯ 1.5K / month Β· π¦ 4 Β· β±οΈ 01.12.2023):
+- [PyPi](https://pypi.org/project/torchbearer) (π₯ 1.3K / month Β· π¦ 4 Β· β±οΈ 01.12.2023):
```
pip install torchbearer
```
@@ -730,7 +718,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/serengil/chefboost
```
-- [PyPi](https://pypi.org/project/chefboost) (π₯ 5.7K / month Β· β±οΈ 30.10.2024):
+- [PyPi](https://pypi.org/project/chefboost) (π₯ 6K / month Β· β±οΈ 30.10.2024):
```
pip install chefboost
```
@@ -743,14 +731,26 @@ _General-purpose machine learning and deep learning frameworks._
git clone https://github.com/XiaoMi/mace
```
ThunderGBM (π₯18 Β· β 690 Β· π€) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
+Objax (π₯21 Β· β 770 Β· π€) - Objax is a machine learning framework that provides an Object.. Apache-2
+
+- [GitHub](https://github.com/google/objax) (π¨βπ» 26 Β· π 78 Β· π¦ 60 Β· π 110 - 45% open Β· β±οΈ 27.01.2024):
+
+ ```
+ git clone https://github.com/google/objax
+ ```
+- [PyPi](https://pypi.org/project/objax) (π₯ 1.1K / month Β· π¦ 4 Β· β±οΈ 06.11.2023):
+ ```
+ pip install objax
+ ```
+ThunderGBM (π₯19 Β· β 690 Β· π€) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
- [GitHub](https://github.com/Xtra-Computing/thundergbm) (π¨βπ» 12 Β· π 87 Β· π¦ 4 Β· π 81 - 48% open Β· β±οΈ 29.01.2024):
```
git clone https://github.com/Xtra-Computing/thundergbm
```
-- [PyPi](https://pypi.org/project/thundergbm) (π₯ 1.1K / month Β· β±οΈ 19.09.2022):
+- [PyPi](https://pypi.org/project/thundergbm) (π₯ 1.4K / month Β· β±οΈ 19.09.2022):
```
pip install thundergbm
```
@@ -769,11 +769,11 @@ _General-purpose machine learning and deep learning frameworks._
- Lasagne (π₯28 Β· β 3.8K Β· π) - Lightweight library to build and train neural networks in Theano. MIT
- NuPIC (π₯27 Β· β 6.3K Β· π) - Numenta Platform for Intelligent Computing is an implementation.. βοΈAGPL-3.0
- xLearn (π₯25 Β· β 3.1K Β· π) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2
-- neon (π₯24 Β· β 3.9K Β· π) - Intel Nervana reference deep learning framework committed to best.. Apache-2
- NeuPy (π₯24 Β· β 740 Β· π) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT
+- neon (π₯23 Β· β 3.9K Β· π) - Intel Nervana reference deep learning framework committed to best.. Apache-2
- elegy (π₯20 Β· β 470 Β· π) - A High Level API for Deep Learning in JAX. MIT MIT
-- nanodl (π₯16 Β· β 270) - A Jax-based library for designing and training transformer models from.. MIT MIT
@@ -785,12 +785,12 @@ _General-purpose and task-specific data visualization libraries._
Matplotlib (π₯48 Β· β 20K) - matplotlib: plotting with Python. βUnlicensed
-- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.7K Β· π 7.6K Β· π¦ 1.4M Β· π 11K - 14% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.7K Β· π 7.6K Β· π¦ 1.4M Β· π 11K - 14% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/matplotlib/matplotlib
```
-- [PyPi](https://pypi.org/project/matplotlib) (π₯ 77M / month Β· π¦ 50K Β· β±οΈ 13.08.2024):
+- [PyPi](https://pypi.org/project/matplotlib) (π₯ 71M / month Β· π¦ 51K Β· β±οΈ 01.11.2024):
```
pip install matplotlib
```
@@ -801,48 +801,48 @@ _General-purpose and task-specific data visualization libraries._
Bokeh (π₯45 Β· β 19K) - Interactive Data Visualization in the browser, from Python. BSD-3
-- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 700 Β· π 4.2K Β· π¦ 94K Β· π 7.8K - 9% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 700 Β· π 4.2K Β· π¦ 94K Β· π 7.8K - 9% open Β· β±οΈ 31.10.2024):
```
git clone https://github.com/bokeh/bokeh
```
-- [PyPi](https://pypi.org/project/bokeh) (π₯ 4.1M / month Β· π¦ 1.8K Β· β±οΈ 30.10.2024):
+- [PyPi](https://pypi.org/project/bokeh) (π₯ 4.1M / month Β· π¦ 1.8K Β· β±οΈ 06.11.2024):
```
pip install bokeh
```
-- [Conda](https://anaconda.org/conda-forge/bokeh) (π₯ 15M Β· β±οΈ 14.10.2024):
+- [Conda](https://anaconda.org/conda-forge/bokeh) (π₯ 15M Β· β±οΈ 07.11.2024):
```
conda install -c conda-forge bokeh
```
Plotly (π₯45 Β· β 16K) - The interactive graphing library for Python This project now includes.. MIT
-- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 280 Β· π 2.5K Β· π¦ 320K Β· π 3K - 17% open Β· β±οΈ 24.10.2024):
+- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 280 Β· π 2.5K Β· π¦ 320K Β· π 3K - 17% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/plotly/plotly.py
```
-- [PyPi](https://pypi.org/project/plotly) (π₯ 20M / month Β· π¦ 6.3K Β· β±οΈ 12.09.2024):
+- [PyPi](https://pypi.org/project/plotly) (π₯ 19M / month Β· π¦ 6.3K Β· β±οΈ 12.09.2024):
```
pip install plotly
```
-- [Conda](https://anaconda.org/conda-forge/plotly) (π₯ 7.3M Β· β±οΈ 12.09.2024):
+- [Conda](https://anaconda.org/conda-forge/plotly) (π₯ 7.4M Β· β±οΈ 12.09.2024):
```
conda install -c conda-forge plotly
```
-- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 5.9K / month Β· π¦ 9 Β· β±οΈ 12.01.2021):
+- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 5.8K / month Β· π¦ 9 Β· β±οΈ 12.01.2021):
```
npm install plotlywidget
```
dash (π₯43 Β· β 21K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
-- [GitHub](https://github.com/plotly/dash) (π¨βπ» 170 Β· π 2.1K Β· π₯ 85 Β· π¦ 71K Β· π 1.8K - 26% open Β· β±οΈ 23.10.2024):
+- [GitHub](https://github.com/plotly/dash) (π¨βπ» 170 Β· π 2.1K Β· π₯ 85 Β· π¦ 71K Β· π 1.8K - 26% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/plotly/dash
```
-- [PyPi](https://pypi.org/project/dash) (π₯ 3.6M / month Β· π¦ 1.3K Β· β±οΈ 12.09.2024):
+- [PyPi](https://pypi.org/project/dash) (π₯ 3.6M / month Β· π¦ 1.3K Β· β±οΈ 04.11.2024):
```
pip install dash
```
@@ -851,9 +851,25 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge dash
```
Seaborn (π₯42 Β· β 13K) - Statistical data visualization in Python. BSD-3
+Altair (π₯42 Β· β 9.3K) - Declarative statistical visualization library for Python. BSD-3
+
+- [GitHub](https://github.com/vega/altair) (π¨βπ» 170 Β· π 790 Β· π₯ 200 Β· π¦ 170K Β· π 2K - 9% open Β· β±οΈ 06.11.2024):
+
+ ```
+ git clone https://github.com/altair-viz/altair
+ ```
+- [PyPi](https://pypi.org/project/altair) (π₯ 22M / month Β· π¦ 870 Β· β±οΈ 27.08.2024):
+ ```
+ pip install altair
+ ```
+- [Conda](https://anaconda.org/conda-forge/altair) (π₯ 2.5M Β· β±οΈ 02.10.2024):
+ ```
+ conda install -c conda-forge altair
+ ```
+Seaborn (π₯41 Β· β 13K Β· π) - Statistical data visualization in Python. BSD-3
-- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 210 Β· π 1.9K Β· π₯ 450 Β· π¦ 490K Β· π 2.6K - 6% open Β· β±οΈ 22.07.2024):
+- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 210 Β· π 1.9K Β· π₯ 450 Β· π¦ 500K Β· π 2.6K - 6% open Β· β±οΈ 22.07.2024):
```
git clone https://github.com/mwaskom/seaborn
@@ -867,62 +883,46 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge seaborn
```
Altair (π₯42 Β· β 9.3K) - Declarative statistical visualization library for Python. BSD-3
+pyecharts (π₯38 Β· β 15K Β· π) - Python Echarts Plotting Library. MIT 
-- [GitHub](https://github.com/vega/altair) (π¨βπ» 170 Β· π 790 Β· π₯ 200 Β· π¦ 170K Β· π 2K - 9% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 45 Β· π 2.9K Β· π₯ 70 Β· π¦ 4.6K Β· β±οΈ 03.11.2024):
```
- git clone https://github.com/altair-viz/altair
- ```
-- [PyPi](https://pypi.org/project/altair) (π₯ 22M / month Β· π¦ 870 Β· β±οΈ 27.08.2024):
- ```
- pip install altair
+ git clone https://github.com/pyecharts/pyecharts
```
-- [Conda](https://anaconda.org/conda-forge/altair) (π₯ 2.5M Β· β±οΈ 02.10.2024):
+- [PyPi](https://pypi.org/project/pyecharts) (π₯ 190K / month Β· π¦ 220 Β· β±οΈ 03.11.2024):
```
- conda install -c conda-forge altair
+ pip install pyecharts
```
HoloViews (π₯38 Β· β 2.7K) - With Holoviews, your data visualizes itself. BSD-3
-- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 140 Β· π 400 Β· π¦ 13K Β· π 3.3K - 32% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 140 Β· π 400 Β· π¦ 13K Β· π 3.3K - 33% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/holoviz/holoviews
```
-- [PyPi](https://pypi.org/project/holoviews) (π₯ 560K / month Β· π¦ 400 Β· β±οΈ 23.10.2024):
+- [PyPi](https://pypi.org/project/holoviews) (π₯ 550K / month Β· π¦ 400 Β· β±οΈ 04.11.2024):
```
pip install holoviews
```
-- [Conda](https://anaconda.org/conda-forge/holoviews) (π₯ 1.8M Β· β±οΈ 07.07.2024):
+- [Conda](https://anaconda.org/conda-forge/holoviews) (π₯ 1.8M Β· β±οΈ 04.11.2024):
```
conda install -c conda-forge holoviews
```
-- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 270 / month Β· π¦ 5 Β· β±οΈ 01.08.2024):
+- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 280 / month Β· π¦ 5 Β· β±οΈ 01.08.2024):
```
npm install @pyviz/jupyterlab_pyviz
```
pyecharts (π₯37 Β· β 15K) - Python Echarts Plotting Library. MIT
-
-- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 44 Β· π 2.8K Β· π₯ 70 Β· π¦ 4.6K Β· π 1.9K - 0% open Β· β±οΈ 20.06.2024):
-
- ```
- git clone https://github.com/pyecharts/pyecharts
- ```
-- [PyPi](https://pypi.org/project/pyecharts) (π₯ 160K / month Β· π¦ 210 Β· β±οΈ 20.06.2024):
- ```
- pip install pyecharts
- ```
-pandas-profiling (π₯37 Β· β 13K) - 1 Line of code data quality profiling & exploratory.. MIT 
-- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 130 Β· π 1.7K Β· π₯ 200 Β· π¦ 4.5K Β· π 810 - 28% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 130 Β· π 1.7K Β· π₯ 200 Β· π¦ 4.5K Β· π 810 - 28% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/ydataai/pandas-profiling
```
-- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 330K / month Β· π¦ 180 Β· β±οΈ 03.02.2023):
+- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 360K / month Β· π¦ 180 Β· β±οΈ 03.02.2023):
```
pip install pandas-profiling
```
@@ -933,12 +933,12 @@ _General-purpose and task-specific data visualization libraries._
PyQtGraph (π₯37 Β· β 3.9K) - Fast data visualization and GUI tools for scientific / engineering.. MIT
-- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 290 Β· π 1.1K Β· π¦ 11K Β· π 1.3K - 32% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 300 Β· π 1.1K Β· π¦ 11K Β· π 1.3K - 32% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/pyqtgraph/pyqtgraph
```
-- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 350K / month Β· π¦ 1K Β· β±οΈ 29.04.2024):
+- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 360K / month Β· π¦ 1K Β· β±οΈ 29.04.2024):
```
pip install pyqtgraph
```
@@ -947,14 +947,14 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge pyqtgraph
```
PyVista (π₯37 Β· β 2.7K Β· π) - 3D plotting and mesh analysis through a streamlined interface.. MIT
+PyVista (π₯37 Β· β 2.7K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
-- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 160 Β· π 490 Β· π₯ 840 Β· π¦ 3.6K Β· π 1.7K - 34% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 160 Β· π 500 Β· π₯ 840 Β· π¦ 3.6K Β· π 1.7K - 34% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/pyvista/pyvista
```
-- [PyPi](https://pypi.org/project/pyvista) (π₯ 350K / month Β· π¦ 530 Β· β±οΈ 20.07.2024):
+- [PyPi](https://pypi.org/project/pyvista) (π₯ 360K / month Β· π¦ 530 Β· β±οΈ 20.07.2024):
```
pip install pyvista
```
@@ -965,7 +965,7 @@ _General-purpose and task-specific data visualization libraries._
FiftyOne (π₯36 Β· β 8.8K) - Visualize, create, and debug image and video datasets.. Apache-2
-- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 140 Β· π 550 Β· π¦ 710 Β· π 1.6K - 31% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 140 Β· π 550 Β· π¦ 720 Β· π 1.6K - 31% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/voxel51/fiftyone
@@ -977,7 +977,7 @@ _General-purpose and task-specific data visualization libraries._
cartopy (π₯36 Β· β 1.4K) - Cartopy - a cartographic python library with matplotlib support. BSD-3
-- [GitHub](https://github.com/SciTools/cartopy) (π¨βπ» 130 Β· π 360 Β· π¦ 5.9K Β· π 1.3K - 24% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/SciTools/cartopy) (π¨βπ» 130 Β· π 360 Β· π¦ 5.9K Β· π 1.3K - 24% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/SciTools/cartopy
@@ -993,12 +993,12 @@ _General-purpose and task-specific data visualization libraries._
UMAP (π₯35 Β· β 7.4K) - Uniform Manifold Approximation and Projection. BSD-3
-- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 140 Β· π 810 Β· π¦ 1 Β· π 820 - 58% open Β· β±οΈ 28.10.2024):
+- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 140 Β· π 810 Β· π¦ 1 Β· π 820 - 58% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/lmcinnes/umap
```
-- [PyPi](https://pypi.org/project/umap-learn) (π₯ 1.7M / month Β· π¦ 1.1K Β· β±οΈ 28.10.2024):
+- [PyPi](https://pypi.org/project/umap-learn) (π₯ 1.9M / month Β· π¦ 1.1K Β· β±οΈ 28.10.2024):
```
pip install umap-learn
```
@@ -1009,23 +1009,23 @@ _General-purpose and task-specific data visualization libraries._
plotnine (π₯35 Β· β 4K) - A Grammar of Graphics for Python. MIT
-- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 110 Β· π 220 Β· π¦ 9.1K Β· π 680 - 12% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 110 Β· π 220 Β· π¦ 9.2K Β· π 680 - 11% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/has2k1/plotnine
```
-- [PyPi](https://pypi.org/project/plotnine) (π₯ 2.8M / month Β· π¦ 320 Β· β±οΈ 28.10.2024):
+- [PyPi](https://pypi.org/project/plotnine) (π₯ 2.8M / month Β· π¦ 320 Β· β±οΈ 05.11.2024):
```
pip install plotnine
```
-- [Conda](https://anaconda.org/conda-forge/plotnine) (π₯ 410K Β· β±οΈ 29.10.2024):
+- [Conda](https://anaconda.org/conda-forge/plotnine) (π₯ 410K Β· β±οΈ 05.11.2024):
```
conda install -c conda-forge plotnine
```
Graphviz (π₯35 Β· β 1.6K) - Simple Python interface for Graphviz. MIT
-- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 23 Β· π 210 Β· π¦ 75K Β· π 180 - 7% open Β· β±οΈ 13.05.2024):
+- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 23 Β· π 210 Β· π¦ 76K Β· π 180 - 7% open Β· β±οΈ 13.05.2024):
```
git clone https://github.com/xflr6/graphviz
@@ -1046,7 +1046,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/vispy/vispy
```
-- [PyPi](https://pypi.org/project/vispy) (π₯ 290K / month Β· π¦ 170 Β· β±οΈ 17.06.2024):
+- [PyPi](https://pypi.org/project/vispy) (π₯ 270K / month Β· π¦ 170 Β· β±οΈ 17.06.2024):
```
pip install vispy
```
@@ -1054,14 +1054,14 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge vispy
```
-- [npm](https://www.npmjs.com/package/vispy) (π₯ 9 / month Β· π¦ 3 Β· β±οΈ 15.03.2020):
+- [npm](https://www.npmjs.com/package/vispy) (π₯ 8 / month Β· π¦ 3 Β· β±οΈ 15.03.2020):
```
npm install vispy
```
datashader (π₯34 Β· β 3.3K) - Quickly and accurately render even the largest data. BSD-3
-- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 56 Β· π 360 Β· π¦ 5K Β· π 580 - 23% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 56 Β· π 360 Β· π¦ 5K Β· π 580 - 23% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/holoviz/datashader
@@ -1075,14 +1075,14 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge datashader
```
Perspective (π₯33 Β· β 8.4K) - A data visualization and analytics component, especially.. Apache-2
+Perspective (π₯33 Β· β 8.5K) - A data visualization and analytics component, especially.. Apache-2
-- [GitHub](https://github.com/finos/perspective) (π¨βπ» 98 Β· π 1.2K Β· π₯ 5.6K Β· π¦ 150 Β· π 820 - 12% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/finos/perspective) (π¨βπ» 98 Β· π 1.2K Β· π₯ 5.9K Β· π¦ 150 Β· π 820 - 13% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/finos/perspective
```
-- [PyPi](https://pypi.org/project/perspective-python) (π₯ 22K / month Β· π¦ 26 Β· β±οΈ 22.10.2024):
+- [PyPi](https://pypi.org/project/perspective-python) (π₯ 19K / month Β· π¦ 26 Β· β±οΈ 31.10.2024):
```
pip install perspective-python
```
@@ -1090,7 +1090,7 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge perspective
```
-- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 3.8K / month Β· π¦ 6 Β· β±οΈ 22.10.2024):
+- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 3.8K / month Β· π¦ 6 Β· β±οΈ 31.10.2024):
```
npm install @finos/perspective-jupyterlab
```
@@ -1102,46 +1102,46 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/amueller/word_cloud
```
-- [PyPi](https://pypi.org/project/wordcloud) (π₯ 1.6M / month Β· π¦ 530 Β· β±οΈ 09.12.2023):
+- [PyPi](https://pypi.org/project/wordcloud) (π₯ 1.7M / month Β· π¦ 530 Β· β±οΈ 09.12.2023):
```
pip install wordcloud
```
-- [Conda](https://anaconda.org/conda-forge/wordcloud) (π₯ 550K Β· β±οΈ 16.09.2024):
+- [Conda](https://anaconda.org/conda-forge/wordcloud) (π₯ 560K Β· β±οΈ 16.09.2024):
```
conda install -c conda-forge wordcloud
```
lets-plot (π₯32 Β· β 1.6K) - Multiplatform plotting library based on the Grammar of Graphics. MIT
-- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 21 Β· π 51 Β· π₯ 1.3K Β· π¦ 130 Β· π 620 - 24% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 21 Β· π 51 Β· π₯ 1.3K Β· π¦ 130 Β· π 630 - 24% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/JetBrains/lets-plot
```
-- [PyPi](https://pypi.org/project/lets-plot) (π₯ 64K / month Β· π¦ 13 Β· β±οΈ 25.10.2024):
+- [PyPi](https://pypi.org/project/lets-plot) (π₯ 63K / month Β· π¦ 13 Β· β±οΈ 25.10.2024):
```
pip install lets-plot
```
hvPlot (π₯32 Β· β 1.1K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3
-- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 50 Β· π 110 Β· π¦ 6K Β· π 820 - 44% open Β· β±οΈ 16.10.2024):
+- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 50 Β· π 110 Β· π¦ 6K Β· π 820 - 44% open Β· β±οΈ 03.11.2024):
```
git clone https://github.com/holoviz/hvplot
```
-- [PyPi](https://pypi.org/project/hvplot) (π₯ 220K / month Β· π¦ 200 Β· β±οΈ 16.10.2024):
+- [PyPi](https://pypi.org/project/hvplot) (π₯ 210K / month Β· π¦ 200 Β· β±οΈ 16.10.2024):
```
pip install hvplot
```
-- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 660K Β· β±οΈ 17.10.2024):
+- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 670K Β· β±οΈ 17.10.2024):
```
conda install -c conda-forge hvplot
```
D-Tale (π₯31 Β· β 4.8K) - Visualizer for pandas data structures. βοΈLGPL-2.1
-- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 400 Β· π¦ 1.2K Β· π 590 - 10% open Β· β±οΈ 25.10.2024):
+- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 400 Β· π¦ 1.3K Β· π 590 - 10% open Β· β±οΈ 25.10.2024):
```
git clone https://github.com/man-group/dtale
@@ -1170,7 +1170,7 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge mpld3
```
-- [npm](https://www.npmjs.com/package/mpld3) (π₯ 850 / month Β· π¦ 9 Β· β±οΈ 23.12.2023):
+- [npm](https://www.npmjs.com/package/mpld3) (π₯ 800 / month Β· π¦ 9 Β· β±οΈ 23.12.2023):
```
npm install mpld3
```
@@ -1182,7 +1182,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/bqplot/bqplot
```
-- [PyPi](https://pypi.org/project/bqplot) (π₯ 190K / month Β· π¦ 99 Β· β±οΈ 25.03.2024):
+- [PyPi](https://pypi.org/project/bqplot) (π₯ 200K / month Β· π¦ 99 Β· β±οΈ 25.03.2024):
```
pip install bqplot
```
@@ -1197,12 +1197,12 @@ _General-purpose and task-specific data visualization libraries._
openTSNE (π₯28 Β· β 1.5K) - Extensible, parallel implementations of t-SNE. BSD-3
-- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 13 Β· π 160 Β· π¦ 900 Β· π 140 - 3% open Β· β±οΈ 24.10.2024):
+- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 13 Β· π 160 Β· π¦ 910 Β· π 140 - 3% open Β· β±οΈ 24.10.2024):
```
git clone https://github.com/pavlin-policar/openTSNE
```
-- [PyPi](https://pypi.org/project/opentsne) (π₯ 39K / month Β· π¦ 47 Β· β±οΈ 13.08.2024):
+- [PyPi](https://pypi.org/project/opentsne) (π₯ 40K / month Β· π¦ 47 Β· β±οΈ 13.08.2024):
```
pip install opentsne
```
@@ -1218,7 +1218,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/spotify/chartify
```
-- [PyPi](https://pypi.org/project/chartify) (π₯ 4.1K / month Β· π¦ 9 Β· β±οΈ 16.10.2024):
+- [PyPi](https://pypi.org/project/chartify) (π₯ 4K / month Β· π¦ 9 Β· β±οΈ 16.10.2024):
```
pip install chartify
```
@@ -1227,30 +1227,42 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge chartify
```
Sweetviz (π₯27 Β· β 2.9K Β· π€) - Visualize and compare datasets, target values and associations, with.. MIT
+data-validation (π₯27 Β· β 760) - Library for exploring and validating machine learning.. Apache-2
+
+- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 27 Β· π 170 Β· π₯ 880 Β· π 180 - 20% open Β· β±οΈ 01.11.2024):
+
+ ```
+ git clone https://github.com/tensorflow/data-validation
+ ```
+- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 170K / month Β· π¦ 31 Β· β±οΈ 15.10.2024):
+ ```
+ pip install tensorflow-data-validation
+ ```
+Sweetviz (π₯26 Β· β 2.9K Β· π€) - Visualize and compare datasets, target values and associations, with.. MIT
- [GitHub](https://github.com/fbdesignpro/sweetviz) (π¨βπ» 11 Β· π 280 Β· π¦ 2.6K Β· π 140 - 31% open Β· β±οΈ 29.11.2023):
```
git clone https://github.com/fbdesignpro/sweetviz
```
-- [PyPi](https://pypi.org/project/sweetviz) (π₯ 73K / month Β· π¦ 30 Β· β±οΈ 29.11.2023):
+- [PyPi](https://pypi.org/project/sweetviz) (π₯ 72K / month Β· π¦ 30 Β· β±οΈ 29.11.2023):
```
pip install sweetviz
```
-- [Conda](https://anaconda.org/conda-forge/sweetviz) (π₯ 35K Β· β±οΈ 04.12.2023):
+- [Conda](https://anaconda.org/conda-forge/sweetviz) (π₯ 36K Β· β±οΈ 04.12.2023):
```
conda install -c conda-forge sweetviz
```
HyperTools (π₯26 Β· β 1.8K Β· π€) - A Python toolbox for gaining geometric insights into high-.. MIT
-- [GitHub](https://github.com/ContextLab/hypertools) (π¨βπ» 22 Β· π 160 Β· π₯ 52 Β· π¦ 490 Β· π 200 - 34% open Β· β±οΈ 19.03.2024):
+- [GitHub](https://github.com/ContextLab/hypertools) (π¨βπ» 22 Β· π 160 Β· π₯ 55 Β· π¦ 490 Β· π 200 - 34% open Β· β±οΈ 19.03.2024):
```
git clone https://github.com/ContextLab/hypertools
```
-- [PyPi](https://pypi.org/project/hypertools) (π₯ 2.2K / month Β· π¦ 2 Β· β±οΈ 12.02.2022):
+- [PyPi](https://pypi.org/project/hypertools) (π₯ 1.6K / month Β· π¦ 2 Β· β±οΈ 12.02.2022):
```
pip install hypertools
```
@@ -1262,7 +1274,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/AutoViML/AutoViz
```
-- [PyPi](https://pypi.org/project/autoviz) (π₯ 43K / month Β· π¦ 11 Β· β±οΈ 10.06.2024):
+- [PyPi](https://pypi.org/project/autoviz) (π₯ 41K / month Β· π¦ 11 Β· β±οΈ 10.06.2024):
```
pip install autoviz
```
@@ -1271,18 +1283,6 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge autoviz
```
data-validation (π₯26 Β· β 760) - Library for exploring and validating machine learning.. Apache-2
-
-- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 27 Β· π 170 Β· π₯ 880 Β· π 180 - 20% open Β· β±οΈ 23.10.2024):
-
- ```
- git clone https://github.com/tensorflow/data-validation
- ```
-- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 170K / month Β· π¦ 31 Β· β±οΈ 15.10.2024):
- ```
- pip install tensorflow-data-validation
- ```
-Plotly-Resampler (π₯25 Β· β 1K) - Visualize large time series data with plotly.py. MIT
- [GitHub](https://github.com/predict-idlab/plotly-resampler) (π¨βπ» 13 Β· π 67 Β· π¦ 1.5K Β· π 170 - 30% open Β· β±οΈ 28.10.2024):
@@ -1290,23 +1290,23 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/predict-idlab/plotly-resampler
```
-- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 370K / month Β· π¦ 24 Β· β±οΈ 27.03.2024):
+- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 380K / month Β· π¦ 24 Β· β±οΈ 27.03.2024):
```
pip install plotly-resampler
```
-- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (π₯ 73K Β· β±οΈ 29.03.2024):
+- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (π₯ 75K Β· β±οΈ 29.03.2024):
```
conda install -c conda-forge plotly-resampler
```
python-ternary (π₯24 Β· β 730) - Ternary plotting library for python with matplotlib. MIT
-- [GitHub](https://github.com/marcharper/python-ternary) (π¨βπ» 28 Β· π 160 Β· π₯ 32 Β· π¦ 190 Β· π 140 - 24% open Β· β±οΈ 12.06.2024):
+- [GitHub](https://github.com/marcharper/python-ternary) (π¨βπ» 28 Β· π 160 Β· π₯ 34 Β· π¦ 190 Β· π 140 - 24% open Β· β±οΈ 12.06.2024):
```
git clone https://github.com/marcharper/python-ternary
```
-- [PyPi](https://pypi.org/project/python-ternary) (π₯ 21K / month Β· π¦ 32 Β· β±οΈ 17.02.2021):
+- [PyPi](https://pypi.org/project/python-ternary) (π₯ 18K / month Β· π¦ 32 Β· β±οΈ 17.02.2021):
```
pip install python-ternary
```
@@ -1317,7 +1317,7 @@ _General-purpose and task-specific data visualization libraries._
vega (π₯24 Β· β 370) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3
-- [GitHub](https://github.com/vega/ipyvega) (π¨βπ» 15 Β· π 65 Β· π¦ 4 Β· π 110 - 14% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/vega/ipyvega) (π¨βπ» 15 Β· π 65 Β· π¦ 4 Β· π 110 - 14% open Β· β±οΈ 01.11.2024):
```
git clone https://github.com/vega/ipyvega
@@ -1338,7 +1338,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/beringresearch/ivis
```
-- [PyPi](https://pypi.org/project/ivis) (π₯ 2.5K / month Β· π¦ 2 Β· β±οΈ 13.06.2024):
+- [PyPi](https://pypi.org/project/ivis) (π₯ 2.3K / month Β· π¦ 2 Β· β±οΈ 13.06.2024):
```
pip install ivis
```
@@ -1350,23 +1350,23 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/DmitryUlyanov/Multicore-TSNE
```
-- [PyPi](https://pypi.org/project/MulticoreTSNE) (π₯ 1.9K / month Β· π¦ 22 Β· β±οΈ 09.01.2019):
+- [PyPi](https://pypi.org/project/MulticoreTSNE) (π₯ 1.8K / month Β· π¦ 22 Β· β±οΈ 09.01.2019):
```
pip install MulticoreTSNE
```
-- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (π₯ 53K Β· β±οΈ 11.10.2023):
+- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (π₯ 54K Β· β±οΈ 11.10.2023):
```
conda install -c conda-forge multicore-tsne
```
PyWaffle (π₯22 Β· β 580) - Make Waffle Charts in Python. MIT
-- [GitHub](https://github.com/gyli/PyWaffle) (π¨βπ» 6 Β· π 100 Β· π¦ 410 Β· π 22 - 27% open Β· β±οΈ 16.06.2024):
+- [GitHub](https://github.com/gyli/PyWaffle) (π¨βπ» 6 Β· π 100 Β· π¦ 420 Β· π 22 - 27% open Β· β±οΈ 16.06.2024):
```
git clone https://github.com/gyli/PyWaffle
```
-- [PyPi](https://pypi.org/project/pywaffle) (π₯ 9.8K / month Β· π¦ 6 Β· β±οΈ 16.06.2024):
+- [PyPi](https://pypi.org/project/pywaffle) (π₯ 9.5K / month Β· π¦ 6 Β· β±οΈ 16.06.2024):
```
pip install pywaffle
```
@@ -1377,7 +1377,7 @@ _General-purpose and task-specific data visualization libraries._
animatplot (π₯21 Β· β 410) - A python package for animating plots build on matplotlib. MIT
-- [GitHub](https://github.com/t-makaro/animatplot) (π¨βπ» 7 Β· π 38 Β· π¦ 60 Β· π 37 - 45% open Β· β±οΈ 29.08.2024):
+- [GitHub](https://github.com/t-makaro/animatplot) (π¨βπ» 7 Β· π 38 Β· π¦ 62 Β· π 37 - 45% open Β· β±οΈ 29.08.2024):
```
git clone https://github.com/t-makaro/animatplot
@@ -1391,14 +1391,14 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge animatplot
```
vegafusion (π₯20 Β· β 320) - Serverside scaling for Vega and Altair visualizations. BSD-3
+vegafusion (π₯19 Β· β 330) - Serverside scaling for Vega and Altair visualizations. BSD-3
- [GitHub](https://github.com/vega/vegafusion) (π¨βπ» 4 Β· π 18 Β· π₯ 7.7K Β· π 140 - 36% open Β· β±οΈ 14.08.2024):
```
git clone https://github.com/vegafusion/vegafusion
```
-- [PyPi](https://pypi.org/project/vegafusion-jupyter) (π₯ 4.1K / month Β· π¦ 2 Β· β±οΈ 09.05.2024):
+- [PyPi](https://pypi.org/project/vegafusion-jupyter) (π₯ 3.8K / month Β· π¦ 2 Β· β±οΈ 09.05.2024):
```
pip install vegafusion-jupyter
```
@@ -1406,25 +1406,25 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge vegafusion-python-embed
```
-- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (π₯ 180 / month Β· π¦ 3 Β· β±οΈ 09.05.2024):
+- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (π₯ 150 / month Β· π¦ 3 Β· β±οΈ 09.05.2024):
```
npm install vegafusion-jupyter
```
Show 15 hidden projects...
-- missingno (π₯29 Β· β 3.9K Β· π) - Missing data visualization module for Python. MIT
+- missingno (π₯29 Β· β 4K Β· π) - Missing data visualization module for Python. MIT
- Cufflinks (π₯29 Β· β 3K Β· π) - Productivity Tools for Plotly + Pandas. MIT Apache-2 BSD-3 MIT
+- HiPlot (π₯24 Β· β 2.7K Β· π) - HiPlot makes understanding high dimensional data easy. MIT
- PandasGUI (π₯23 Β· β 3.2K Β· π€) - A GUI for Pandas DataFrames. βοΈMIT-0 MIT MIT MIT
- joypy (π₯21 Β· β 560 Β· π) - Joyplots in Python with matplotlib & pandas. MIT
- Popmon (π₯21 Β· β 500 Β· π) - Monitor the stability of a Pandas or Spark dataframe. MIT MIT
+- pdvega (π₯16 Β· β 340 Β· π) - Interactive plotting for Pandas using Vega-Lite. MIT
- data-describe (π₯15 Β· β 300 Β· π) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2
- nx-altair (π₯15 Β· β 220 Β· π) - Draw interactive NetworkX graphs with Altair. MIT Apache-2
@@ -1439,28 +1439,28 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (π₯52 Β· β 130K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
-- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 2.9K Β· π 27K Β· π¦ 230K Β· π 17K - 8% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 2.9K Β· π 27K Β· π¦ 240K Β· π 17K - 8% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/huggingface/transformers
```
-- [PyPi](https://pypi.org/project/transformers) (π₯ 45M / month Β· π¦ 6.6K Β· β±οΈ 29.10.2024):
+- [PyPi](https://pypi.org/project/transformers) (π₯ 44M / month Β· π¦ 6.7K Β· β±οΈ 05.11.2024):
```
pip install transformers
```
-- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 2.2M Β· β±οΈ 29.10.2024):
+- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 2.2M Β· β±οΈ 06.11.2024):
```
conda install -c conda-forge transformers
```
spaCy (π₯45 Β· β 30K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
-- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 760 Β· π 4.4K Β· π₯ 400 Β· π¦ 100K Β· π 5.7K - 2% open Β· β±οΈ 23.10.2024):
+- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 760 Β· π 4.4K Β· π₯ 430 Β· π¦ 100K Β· π 5.7K - 2% open Β· β±οΈ 23.10.2024):
```
git clone https://github.com/explosion/spaCy
```
-- [PyPi](https://pypi.org/project/spacy) (π₯ 14M / month Β· π¦ 2.7K Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/spacy) (π₯ 13M / month Β· π¦ 2.7K Β· β±οΈ 01.10.2024):
```
pip install spacy
```
@@ -1476,67 +1476,67 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/nltk/nltk
```
-- [PyPi](https://pypi.org/project/nltk) (π₯ 22M / month Β· π¦ 4.7K Β· β±οΈ 18.08.2024):
+- [PyPi](https://pypi.org/project/nltk) (π₯ 21M / month Β· π¦ 4.7K Β· β±οΈ 18.08.2024):
```
pip install nltk
```
-- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 2.8M Β· β±οΈ 18.08.2024):
+- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 2.9M Β· β±οΈ 18.08.2024):
```
conda install -c conda-forge nltk
```
litellm (π₯43 Β· β 13K Β· π) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s
+litellm (π₯43 Β· β 14K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s
-- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 350 Β· π 1.6K Β· π₯ 350 Β· π¦ 4.2K Β· π 3.6K - 19% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 350 Β· π 1.6K Β· π₯ 320 Β· π¦ 4.3K Β· π 3.6K - 20% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/BerriAI/litellm
```
-- [PyPi](https://pypi.org/project/litellm) (π₯ 3.1M / month Β· π¦ 480 Β· β±οΈ 30.10.2024):
+- [PyPi](https://pypi.org/project/litellm) (π₯ 3.3M / month Β· π¦ 500 Β· β±οΈ 05.11.2024):
```
pip install litellm
```
sentence-transformers (π₯41 Β· β 15K) - State-of-the-Art Text Embeddings. Apache-2
-- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 190 Β· π 2.5K Β· π¦ 53K Β· π 2.2K - 53% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 190 Β· π 2.5K Β· π¦ 54K Β· π 2.2K - 53% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/UKPLab/sentence-transformers
```
-- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 6M / month Β· π¦ 1.7K Β· β±οΈ 21.10.2024):
+- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 6.1M / month Β· π¦ 1.7K Β· β±οΈ 21.10.2024):
```
pip install sentence-transformers
```
-- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 430K Β· β±οΈ 21.10.2024):
+- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 440K Β· β±οΈ 21.10.2024):
```
conda install -c conda-forge sentence-transformers
```
Tokenizers (π₯40 Β· β 9K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
-- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 99 Β· π 790 Β· π₯ 66 Β· π¦ 110K Β· π 1K - 5% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 100 Β· π 800 Β· π₯ 67 Β· π¦ 110K Β· π 1K - 5% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/huggingface/tokenizers
```
-- [PyPi](https://pypi.org/project/tokenizers) (π₯ 32M / month Β· π¦ 1K Β· β±οΈ 10.10.2024):
+- [PyPi](https://pypi.org/project/tokenizers) (π₯ 31M / month Β· π¦ 1K Β· β±οΈ 05.11.2024):
```
pip install tokenizers
```
-- [Conda](https://anaconda.org/conda-forge/tokenizers) (π₯ 2.2M Β· β±οΈ 10.10.2024):
+- [Conda](https://anaconda.org/conda-forge/tokenizers) (π₯ 2.2M Β· β±οΈ 06.11.2024):
```
conda install -c conda-forge tokenizers
```
gensim (π₯39 Β· β 16K) - Topic Modelling for Humans. βοΈLGPL-2.1
-- [GitHub](https://github.com/piskvorky/gensim) (π¨βπ» 460 Β· π 4.4K Β· π₯ 4.9K Β· π¦ 66K Β· π 1.8K - 20% open Β· β±οΈ 10.08.2024):
+- [GitHub](https://github.com/piskvorky/gensim) (π¨βπ» 460 Β· π 4.4K Β· π₯ 5K Β· π¦ 66K Β· π 1.8K - 20% open Β· β±οΈ 10.08.2024):
```
git clone https://github.com/RaRe-Technologies/gensim
```
-- [PyPi](https://pypi.org/project/gensim) (π₯ 4.4M / month Β· π¦ 1.4K Β· β±οΈ 19.07.2024):
+- [PyPi](https://pypi.org/project/gensim) (π₯ 4.3M / month Β· π¦ 1.4K Β· β±οΈ 19.07.2024):
```
pip install gensim
```
@@ -1547,7 +1547,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Rasa (π₯38 Β· β 19K Β· π€) - Open source machine learning framework to automate text- and.. Apache-2
-- [GitHub](https://github.com/RasaHQ/rasa) (π¨βπ» 600 Β· π 4.6K Β· π¦ 4.5K Β· π 6.8K - 1% open Β· β±οΈ 21.03.2024):
+- [GitHub](https://github.com/RasaHQ/rasa) (π¨βπ» 600 Β· π 4.6K Β· π¦ 4.6K Β· π 6.8K - 1% open Β· β±οΈ 21.03.2024):
```
git clone https://github.com/RasaHQ/rasa
@@ -1573,18 +1573,18 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge python-flair
```
sentencepiece (π₯37 Β· β 10K Β· π) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
+sentencepiece (π₯37 Β· β 10K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
-- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 89 Β· π 1.2K Β· π₯ 45K Β· π¦ 81K Β· π 750 - 4% open Β· β±οΈ 18.08.2024):
+- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 89 Β· π 1.2K Β· π₯ 45K Β· π¦ 82K Β· π 750 - 4% open Β· β±οΈ 18.08.2024):
```
git clone https://github.com/google/sentencepiece
```
-- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 24M / month Β· π¦ 1.7K Β· β±οΈ 19.02.2024):
+- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 23M / month Β· π¦ 1.7K Β· β±οΈ 19.02.2024):
```
pip install sentencepiece
```
-- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 1.1M Β· β±οΈ 22.10.2024):
+- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 1.1M Β· β±οΈ 05.11.2024):
```
conda install -c conda-forge sentencepiece
```
@@ -1600,19 +1600,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install fairseq
```
-- [Conda](https://anaconda.org/conda-forge/fairseq) (π₯ 99K Β· β±οΈ 31.10.2024):
+- [Conda](https://anaconda.org/conda-forge/fairseq) (π₯ 100K Β· β±οΈ 31.10.2024):
```
conda install -c conda-forge fairseq
```
NeMo (π₯36 Β· β 12K) - A scalable generative AI framework built for researchers and.. Apache-2
-- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 360 Β· π 2.5K Β· π₯ 290K Β· π¦ 21 Β· π 2.4K - 7% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 360 Β· π 2.5K Β· π₯ 300K Β· π¦ 21 Β· π 2.4K - 6% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/NVIDIA/NeMo
```
-- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 100K / month Β· π¦ 13 Β· β±οΈ 15.08.2024):
+- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 79K / month Β· π¦ 13 Β· β±οΈ 15.08.2024):
```
pip install nemo-toolkit
```
@@ -1633,9 +1633,9 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge textblob
```
spark-nlp (π₯36 Β· β 3.9K Β· π) - State of the Art Natural Language Processing. Apache-2
+spark-nlp (π₯36 Β· β 3.9K) - State of the Art Natural Language Processing. Apache-2
-- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 110 Β· π 710 Β· π¦ 510 Β· π 890 - 3% open Β· β±οΈ 24.10.2024):
+- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 110 Β· π 710 Β· π¦ 520 Β· π 890 - 3% open Β· β±οΈ 24.10.2024):
```
git clone https://github.com/JohnSnowLabs/spark-nlp
@@ -1661,9 +1661,9 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge fasttext
```
haystack (π₯35 Β· β 17K) - AI orchestration framework to build customizable, production-ready.. Apache-2
+haystack (π₯35 Β· β 18K) - AI orchestration framework to build customizable, production-ready.. Apache-2
-- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 270 Β· π 1.9K Β· π¦ 600 Β· π 3.6K - 2% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 270 Β· π 1.9K Β· π¦ 610 Β· π 3.6K - 2% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/deepset-ai/haystack
@@ -1689,14 +1689,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c stanfordnlp stanza
```
rubrix (π₯34 Β· β 3.9K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2
+rubrix (π₯34 Β· β 4K) - Argilla is a collaboration tool for AI engineers and domain experts to.. Apache-2
-- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 100 Β· π 370 Β· π¦ 2.8K Β· π 2.2K - 5% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 100 Β· π 370 Β· π¦ 2.8K Β· π 2.2K - 5% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/recognai/rubrix
```
-- [PyPi](https://pypi.org/project/rubrix) (π₯ 3.4K / month Β· β±οΈ 24.10.2022):
+- [PyPi](https://pypi.org/project/rubrix) (π₯ 2.7K / month Β· β±οΈ 24.10.2022):
```
pip install rubrix
```
@@ -1705,40 +1705,40 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge rubrix
```
ftfy (π₯34 Β· β 3.8K Β· π) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2
+TensorFlow Text (π₯34 Β· β 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2
-- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 20 Β· π 120 Β· π₯ 20 Β· π¦ 24K Β· π 140 - 5% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 140 Β· π 340 Β· π¦ 7.5K Β· π 360 - 53% open Β· β±οΈ 06.11.2024):
```
- git clone https://github.com/rspeer/python-ftfy
+ git clone https://github.com/tensorflow/text
```
-- [PyPi](https://pypi.org/project/ftfy) (π₯ 5.4M / month Β· π¦ 570 Β· β±οΈ 26.10.2024):
+- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 8M / month Β· π¦ 220 Β· β±οΈ 28.10.2024):
```
- pip install ftfy
+ pip install tensorflow-text
```
-- [Conda](https://anaconda.org/conda-forge/ftfy) (π₯ 300K Β· β±οΈ 26.10.2024):
+qdrant (π₯33 Β· β 20K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2
+
+- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 120 Β· π 1.4K Β· π₯ 250K Β· π¦ 120 Β· π 1.3K - 23% open Β· β±οΈ 11.10.2024):
+
```
- conda install -c conda-forge ftfy
+ git clone https://github.com/qdrant/qdrant
```
TensorFlow Text (π₯34 Β· β 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2
+ftfy (π₯33 Β· β 3.8K) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2
-- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 130 Β· π 340 Β· π¦ 7.5K Β· π 360 - 52% open Β· β±οΈ 05.09.2024):
+- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 20 Β· π 120 Β· π₯ 21 Β· π¦ 24K Β· π 140 - 5% open Β· β±οΈ 30.10.2024):
```
- git clone https://github.com/tensorflow/text
+ git clone https://github.com/rspeer/python-ftfy
```
-- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 8.1M / month Β· π¦ 220 Β· β±οΈ 28.10.2024):
+- [PyPi](https://pypi.org/project/ftfy) (π₯ 5.5M / month Β· π¦ 570 Β· β±οΈ 26.10.2024):
```
- pip install tensorflow-text
+ pip install ftfy
```
-qdrant (π₯33 Β· β 20K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2
-
-- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 120 Β· π 1.4K Β· π₯ 240K Β· π¦ 120 Β· π 1.3K - 23% open Β· β±οΈ 11.10.2024):
-
+- [Conda](https://anaconda.org/conda-forge/ftfy) (π₯ 310K Β· β±οΈ 26.10.2024):
```
- git clone https://github.com/qdrant/qdrant
+ conda install -c conda-forge ftfy
```
jellyfish (π₯33 Β· β 2.1K) - a python library for doing approximate and phonetic matching of strings. MIT
@@ -1748,7 +1748,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/jamesturk/jellyfish
```
-- [PyPi](https://pypi.org/project/jellyfish) (π₯ 6M / month Β· π¦ 270 Β· β±οΈ 28.07.2024):
+- [PyPi](https://pypi.org/project/jellyfish) (π₯ 5.9M / month Β· π¦ 270 Β· β±οΈ 28.07.2024):
```
pip install jellyfish
```
@@ -1764,7 +1764,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/facebookresearch/ParlAI
```
-- [PyPi](https://pypi.org/project/parlai) (π₯ 4.2K / month Β· π¦ 5 Β· β±οΈ 20.09.2022):
+- [PyPi](https://pypi.org/project/parlai) (π₯ 3.8K / month Β· π¦ 5 Β· β±οΈ 20.09.2022):
```
pip install parlai
```
@@ -1781,22 +1781,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install OpenNMT-py
```
Dedupe (π₯32 Β· β 4.1K) - A python library for accurate and scalable fuzzy matching, record.. MIT
-
-- [GitHub](https://github.com/dedupeio/dedupe) (π¨βπ» 72 Β· π 550 Β· π¦ 340 Β· π 820 - 8% open Β· β±οΈ 15.08.2024):
-
- ```
- git clone https://github.com/dedupeio/dedupe
- ```
-- [PyPi](https://pypi.org/project/dedupe) (π₯ 160K / month Β· π¦ 19 Β· β±οΈ 15.08.2024):
- ```
- pip install dedupe
- ```
-- [Conda](https://anaconda.org/conda-forge/dedupe) (π₯ 79K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge dedupe
- ```
-torchtext (π₯32 Β· β 3.5K) - Models, data loaders and abstractions for language processing,.. BSD-3
- [GitHub](https://github.com/pytorch/text) (π¨βπ» 160 Β· π 810 Β· π 850 - 38% open Β· β±οΈ 14.08.2024):
@@ -1804,7 +1788,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/pytorch/text
```
-- [PyPi](https://pypi.org/project/torchtext) (π₯ 1.5M / month Β· π¦ 280 Β· β±οΈ 24.04.2024):
+- [PyPi](https://pypi.org/project/torchtext) (π₯ 1.4M / month Β· π¦ 280 Β· β±οΈ 24.04.2024):
```
pip install torchtext
```
@@ -1816,11 +1800,27 @@ _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₯ 15K / month Β· π¦ 4 Β· β±οΈ 12.08.2024):
+- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 14K / month Β· π¦ 4 Β· β±οΈ 12.08.2024):
```
pip install deeppavlov
```
Dedupe (π₯31 Β· β 4.1K) - A python library for accurate and scalable fuzzy matching, record.. MIT
+
+- [GitHub](https://github.com/dedupeio/dedupe) (π¨βπ» 72 Β· π 550 Β· π¦ 340 Β· π 820 - 8% open Β· β±οΈ 01.11.2024):
+
+ ```
+ git clone https://github.com/dedupeio/dedupe
+ ```
+- [PyPi](https://pypi.org/project/dedupe) (π₯ 140K / month Β· π¦ 19 Β· β±οΈ 15.08.2024):
+ ```
+ pip install dedupe
+ ```
+- [Conda](https://anaconda.org/conda-forge/dedupe) (π₯ 80K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge dedupe
+ ```
+TextDistance (π₯30 Β· β 3.4K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 17 Β· π 250 Β· π₯ 1K Β· π¦ 7.3K Β· β±οΈ 09.09.2024):
@@ -1828,23 +1828,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/life4/textdistance
```
-- [PyPi](https://pypi.org/project/textdistance) (π₯ 830K / month Β· π¦ 99 Β· β±οΈ 16.07.2024):
+- [PyPi](https://pypi.org/project/textdistance) (π₯ 790K / month Β· π¦ 99 Β· β±οΈ 16.07.2024):
```
pip install textdistance
```
-- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 650K Β· β±οΈ 17.07.2024):
+- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 660K Β· β±οΈ 17.07.2024):
```
conda install -c conda-forge textdistance
```
SciSpacy (π₯30 Β· β 1.7K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
-- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 36 Β· π 230 Β· π¦ 980 Β· π 320 - 9% open Β· β±οΈ 28.10.2024):
+- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 36 Β· π 230 Β· π¦ 990 Β· π 320 - 9% open Β· β±οΈ 28.10.2024):
```
git clone https://github.com/allenai/scispacy
```
-- [PyPi](https://pypi.org/project/scispacy) (π₯ 24K / month Β· π¦ 34 Β· β±οΈ 27.10.2024):
+- [PyPi](https://pypi.org/project/scispacy) (π₯ 22K / month Β· π¦ 34 Β· β±οΈ 27.10.2024):
```
pip install scispacy
```
@@ -1865,34 +1865,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge snowballstemmer
```
CLTK (π₯29 Β· β 840) - The Classical Language Toolkit. MIT
-
-- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 330 Β· π₯ 100 Β· π¦ 280 Β· π 570 - 6% open Β· β±οΈ 12.05.2024):
-
- ```
- git clone https://github.com/cltk/cltk
- ```
-- [PyPi](https://pypi.org/project/cltk) (π₯ 15K / month Β· π¦ 15 Β· β±οΈ 12.05.2024):
- ```
- pip install cltk
- ```
-Ciphey (π₯28 Β· β 18K Β· π€) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
-
-- [GitHub](https://github.com/Ciphey/Ciphey) (π¨βπ» 48 Β· π 1.2K Β· π 340 - 22% open Β· β±οΈ 12.10.2023):
-
- ```
- git clone https://github.com/Ciphey/Ciphey
- ```
-- [PyPi](https://pypi.org/project/ciphey) (π₯ 210K / month Β· β±οΈ 06.06.2021):
- ```
- pip install ciphey
- ```
-- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (π₯ 26K Β· β 17 Β· β±οΈ 14.10.2023):
- ```
- docker pull remnux/ciphey
- ```
-Sumy (π₯28 Β· β 3.5K) - Module for automatic summarization of text documents and HTML pages. Apache-2
- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 32 Β· π 530 Β· π¦ 3.2K Β· π 120 - 18% open Β· β±οΈ 16.05.2024):
@@ -1900,16 +1872,16 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/miso-belica/sumy
```
-- [PyPi](https://pypi.org/project/sumy) (π₯ 390K / month Β· π¦ 31 Β· β±οΈ 23.10.2022):
+- [PyPi](https://pypi.org/project/sumy) (π₯ 360K / month Β· π¦ 31 Β· β±οΈ 23.10.2022):
```
pip install sumy
```
-- [Conda](https://anaconda.org/conda-forge/sumy) (π₯ 9.7K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sumy) (π₯ 9.8K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge sumy
```
spacy-transformers (π₯28 Β· β 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
+spacy-transformers (π₯28 Β· β 1.4K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
- [GitHub](https://github.com/explosion/spacy-transformers) (π¨βπ» 22 Β· π 160 Β· π¦ 1.9K Β· β±οΈ 05.06.2024):
@@ -1920,7 +1892,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install spacy-transformers
```
-- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (π₯ 69K Β· β±οΈ 19.12.2023):
+- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (π₯ 71K Β· β±οΈ 19.12.2023):
```
conda install -c conda-forge spacy-transformers
```
@@ -1932,23 +1904,35 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/dwyl/english-words
```
-- [PyPi](https://pypi.org/project/english-words) (π₯ 210K / month Β· π¦ 14 Β· β±οΈ 24.05.2023):
+- [PyPi](https://pypi.org/project/english-words) (π₯ 220K / month Β· π¦ 14 Β· β±οΈ 24.05.2023):
```
pip install english-words
```
DeepKE (π₯27 Β· β 3.5K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT
-- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 31 Β· π 680 Β· π¦ 24 Β· π 570 - 1% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 31 Β· π 680 Β· π¦ 24 Β· π 570 - 1% open Β· β±οΈ 03.11.2024):
```
git clone https://github.com/zjunlp/deepke
```
-- [PyPi](https://pypi.org/project/deepke) (π₯ 5.2K / month Β· β±οΈ 21.09.2023):
+- [PyPi](https://pypi.org/project/deepke) (π₯ 5K / month Β· β±οΈ 21.09.2023):
```
pip install deepke
```
CLTK (π₯27 Β· β 840 Β· π) - The Classical Language Toolkit. MIT
+
+- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 330 Β· π₯ 100 Β· π¦ 280 Β· π 570 - 6% open Β· β±οΈ 12.05.2024):
+
+ ```
+ git clone https://github.com/cltk/cltk
+ ```
+- [PyPi](https://pypi.org/project/cltk) (π₯ 15K / month Β· π¦ 15 Β· β±οΈ 12.05.2024):
+ ```
+ pip install cltk
+ ```
+scattertext (π₯26 Β· β 2.2K) - Beautiful visualizations of how language differs among document.. Apache-2
- [GitHub](https://github.com/JasonKessler/scattertext) (π¨βπ» 14 Β· π 290 Β· π¦ 640 Β· π 100 - 21% open Β· β±οΈ 23.09.2024):
@@ -1956,7 +1940,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/JasonKessler/scattertext
```
-- [PyPi](https://pypi.org/project/scattertext) (π₯ 20K / month Β· π¦ 5 Β· β±οΈ 23.09.2024):
+- [PyPi](https://pypi.org/project/scattertext) (π₯ 17K / month Β· π¦ 5 Β· β±οΈ 23.09.2024):
```
pip install scattertext
```
@@ -1967,24 +1951,24 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
PyTextRank (π₯26 Β· β 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT
-- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 340 Β· π¦ 730 Β· π 100 - 12% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 340 Β· π¦ 740 Β· π 100 - 12% open Β· β±οΈ 21.05.2024):
```
git clone https://github.com/DerwenAI/pytextrank
```
-- [PyPi](https://pypi.org/project/pytextrank) (π₯ 63K / month Β· π¦ 19 Β· β±οΈ 21.02.2024):
+- [PyPi](https://pypi.org/project/pytextrank) (π₯ 75K / month Β· π¦ 19 Β· β±οΈ 21.02.2024):
```
pip install pytextrank
```
Opik (π₯25 Β· β 1.9K) - Open-source end-to-end LLM Development Platform. Apache-2
+Opik (π₯25 Β· β 2K) - Open-source end-to-end LLM Development Platform. Apache-2
-- [GitHub](https://github.com/comet-ml/opik) (π¨βπ» 26 Β· π 110 Β· π 39 - 33% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/comet-ml/opik) (π¨βπ» 26 Β· π 120 Β· π 60 - 48% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/comet-ml/opik
```
-- [PyPi](https://pypi.org/project/opik) (π₯ 6.3K / month Β· β±οΈ 30.10.2024):
+- [PyPi](https://pypi.org/project/opik) (π₯ 7.4K / month Β· β±οΈ 07.11.2024):
```
pip install opik
```
@@ -1996,31 +1980,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/google-research/text-to-text-transfer-transformer
```
-- [PyPi](https://pypi.org/project/t5) (π₯ 45K / month Β· π¦ 2 Β· β±οΈ 18.10.2021):
+- [PyPi](https://pypi.org/project/t5) (π₯ 38K / month Β· π¦ 2 Β· β±οΈ 18.10.2021):
```
pip install t5
```
promptsource (π₯24 Β· β 2.7K Β· π€) - Toolkit for creating, sharing and using natural language.. Apache-2
-
-- [GitHub](https://github.com/bigscience-workshop/promptsource) (π¨βπ» 65 Β· π 340 Β· π¦ 110 Β· π 190 - 22% open Β· β±οΈ 23.10.2023):
-
- ```
- git clone https://github.com/bigscience-workshop/promptsource
- ```
-- [PyPi](https://pypi.org/project/promptsource) (π₯ 410 / month Β· π¦ 4 Β· β±οΈ 18.04.2022):
- ```
- pip install promptsource
- ```
-detoxify (π₯23 Β· β 950) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
+detoxify (π₯23 Β· β 960) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
-- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 12 Β· π 120 Β· π₯ 720K Β· π¦ 710 Β· π 67 - 56% open Β· β±οΈ 19.09.2024):
+- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 12 Β· π 120 Β· π₯ 720K Β· π¦ 720 Β· π 67 - 56% open Β· β±οΈ 19.09.2024):
```
git clone https://github.com/unitaryai/detoxify
```
-- [PyPi](https://pypi.org/project/detoxify) (π₯ 55K / month Β· π¦ 30 Β· β±οΈ 01.02.2024):
+- [PyPi](https://pypi.org/project/detoxify) (π₯ 51K / month Β· π¦ 30 Β· β±οΈ 01.02.2024):
```
pip install detoxify
```
@@ -2032,83 +2004,83 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/IndicoDataSolutions/finetune
```
-- [PyPi](https://pypi.org/project/finetune) (π₯ 2K / month Β· π¦ 2 Β· β±οΈ 29.09.2023):
+- [PyPi](https://pypi.org/project/finetune) (π₯ 1.7K / month Β· π¦ 2 Β· β±οΈ 29.09.2023):
```
pip install finetune
```
happy-transformer (π₯23 Β· β 520 Β· π€) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
+Sockeye (π₯22 Β· β 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 
-- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 66 Β· π¦ 290 Β· π 130 - 15% open Β· β±οΈ 19.03.2024):
+- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 60 Β· π 320 Β· π₯ 21 Β· π 310 - 3% open Β· β±οΈ 24.10.2024):
```
- git clone https://github.com/EricFillion/happy-transformer
+ git clone https://github.com/awslabs/sockeye
```
-- [PyPi](https://pypi.org/project/happytransformer) (π₯ 4.1K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
+- [PyPi](https://pypi.org/project/sockeye) (π₯ 4.4K / month Β· β±οΈ 03.03.2023):
```
- pip install happytransformer
+ pip install sockeye
```
fast-bert (π₯22 Β· β 1.9K) - Super easy library for BERT based NLP models. Apache-2
+small-text (π₯22 Β· β 560) - Active Learning for Text Classification in Python. MIT
-- [GitHub](https://github.com/utterworks/fast-bert) (π¨βπ» 37 Β· π 340 Β· π 260 - 63% open Β· β±οΈ 19.08.2024):
+- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 7 Β· π 61 Β· π¦ 33 Β· π 58 - 24% open Β· β±οΈ 18.08.2024):
```
- git clone https://github.com/utterworks/fast-bert
+ git clone https://github.com/webis-de/small-text
```
-- [PyPi](https://pypi.org/project/fast-bert) (π₯ 7.5K / month Β· β±οΈ 19.08.2024):
+- [PyPi](https://pypi.org/project/small-text) (π₯ 1.6K / month Β· β±οΈ 18.08.2024):
```
- pip install fast-bert
+ pip install small-text
+ ```
+- [Conda](https://anaconda.org/conda-forge/small-text) (π₯ 10K Β· β±οΈ 18.08.2024):
+ ```
+ conda install -c conda-forge small-text
```
Sockeye (π₯22 Β· β 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
+happy-transformer (π₯22 Β· β 520 Β· π€) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
-- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 60 Β· π 320 Β· π₯ 21 Β· π 310 - 3% open Β· β±οΈ 24.10.2024):
+- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 66 Β· π¦ 290 Β· π 130 - 15% open Β· β±οΈ 19.03.2024):
```
- git clone https://github.com/awslabs/sockeye
+ git clone https://github.com/EricFillion/happy-transformer
```
-- [PyPi](https://pypi.org/project/sockeye) (π₯ 5.1K / month Β· β±οΈ 03.03.2023):
+- [PyPi](https://pypi.org/project/happytransformer) (π₯ 4.2K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
```
- pip install sockeye
+ pip install happytransformer
```
small-text (π₯22 Β· β 560) - Active Learning for Text Classification in Python. MIT
+fast-bert (π₯21 Β· β 1.9K) - Super easy library for BERT based NLP models. Apache-2
-- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 7 Β· π 61 Β· π¦ 32 Β· π 58 - 24% open Β· β±οΈ 18.08.2024):
+- [GitHub](https://github.com/utterworks/fast-bert) (π¨βπ» 37 Β· π 340 Β· π 260 - 63% open Β· β±οΈ 19.08.2024):
```
- git clone https://github.com/webis-de/small-text
- ```
-- [PyPi](https://pypi.org/project/small-text) (π₯ 2K / month Β· β±οΈ 18.08.2024):
- ```
- pip install small-text
+ git clone https://github.com/utterworks/fast-bert
```
-- [Conda](https://anaconda.org/conda-forge/small-text) (π₯ 10K Β· β±οΈ 18.08.2024):
+- [PyPi](https://pypi.org/project/fast-bert) (π₯ 7.1K / month Β· β±οΈ 19.08.2024):
```
- conda install -c conda-forge small-text
+ pip install fast-bert
```
UForm (π₯20 Β· β 1K) - Pocket-Sized Multimodal AI for content understanding and generation.. Apache-2
+UForm (π₯19 Β· β 1K) - Pocket-Sized Multimodal AI for content understanding and generation.. Apache-2
-- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 18 Β· π 62 Β· π₯ 440 Β· π¦ 6 Β· π 30 - 30% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 18 Β· π 62 Β· π₯ 450 Β· π 30 - 30% open Β· β±οΈ 01.10.2024):
```
git clone https://github.com/unum-cloud/uform
```
-- [PyPi](https://pypi.org/project/uform) (π₯ 2.4K / month Β· π¦ 2 Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/uform) (π₯ 2K / month Β· π¦ 2 Β· β±οΈ 01.10.2024):
```
pip install uform
```
textaugment (π₯18 Β· β 400 Β· π€) - TextAugment: Text Augmentation Library. MIT
-- [GitHub](https://github.com/dsfsi/textaugment) (π¨βπ» 8 Β· π 60 Β· π₯ 110 Β· π¦ 130 Β· π 29 - 37% open Β· β±οΈ 17.11.2023):
+- [GitHub](https://github.com/dsfsi/textaugment) (π¨βπ» 8 Β· π 60 Β· π₯ 120 Β· π¦ 130 Β· π 29 - 37% open Β· β±οΈ 17.11.2023):
```
git clone https://github.com/dsfsi/textaugment
```
-- [PyPi](https://pypi.org/project/textaugment) (π₯ 5.1K / month Β· π¦ 4 Β· β±οΈ 16.11.2023):
+- [PyPi](https://pypi.org/project/textaugment) (π₯ 5K / month Β· π¦ 4 Β· β±οΈ 16.11.2023):
```
pip install textaugment
```
@@ -2128,64 +2100,66 @@ _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₯ 530 / month Β· β±οΈ 07.08.2020):
+- [PyPi](https://pypi.org/project/vizseq) (π₯ 480 / month Β· β±οΈ 07.08.2020):
```
pip install vizseq
```
Show 52 hidden projects...
+Show 54 hidden projects...
- AllenNLP (π₯36 Β· β 12K Β· π) - An open-source NLP research library, built on PyTorch. Apache-2 BSD-3
+- ChatterBot (π₯34 Β· β 14K Β· π) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3
- fuzzywuzzy (π₯31 Β· β 9.2K Β· π) - Fuzzy String Matching in Python. βοΈGPL-2.0
- nlpaug (π₯29 Β· β 4.4K Β· π) - Data augmentation for NLP. MIT
- fastNLP (π₯29 Β· β 3.1K Β· π) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
- GluonNLP (π₯29 Β· β 2.6K Β· π) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 MIT
- langid (π₯28 Β· β 2.3K Β· π) - Stand-alone language identification system. BSD-3
- underthesea (π₯28 Β· β 1.4K) - Underthesea - Vietnamese NLP Toolkit. βοΈGPL-3.0
-- vaderSentiment (π₯27 Β· β 4.4K Β· π) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
+- vaderSentiment (π₯27 Β· β 4.5K Β· π) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
- textacy (π₯27 Β· β 2.2K Β· π) - NLP, before and after spaCy. βUnlicensed
- FARM (π₯27 Β· β 1.7K Β· π) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 MIT
- flashtext (π₯26 Β· β 5.6K Β· π) - Extract Keywords from sentence or Replace keywords in sentences. MIT
- Snips NLU (π₯26 Β· β 3.9K Β· π) - Snips Python library to extract meaning from text. Apache-2
-- MatchZoo (π₯26 Β· β 3.8K Β· π) - Facilitating the design, comparison and sharing of deep.. Apache-2 βοΈGPL-3.0
+- pySBD (π₯26 Β· β 800 Β· π) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
- PyText (π₯25 Β· β 6.3K Β· π) - A natural language modeling framework based on PyTorch. BSD-3 Apache-2
+- MatchZoo (π₯25 Β· β 3.8K Β· π) - Facilitating the design, comparison and sharing of deep.. Apache-2 MIT
- Kashgari (π₯25 Β· β 2.4K Β· π) - Kashgari is a production-level NLP Transfer learning.. Apache-2 BSD-3 MIT Apache-2
+- promptsource (π₯24 Β· β 2.7K Β· π) - Toolkit for creating, sharing and using natural language.. Apache-2
- sense2vec (π₯24 Β· β 1.6K Β· π) - Contextually-keyed word vectors. MIT
- whoosh (π₯24 Β· β 580 Β· π) - Pure-Python full-text search library. βοΈBSD-1-Clause
- Texar (π₯23 Β· β 2.4K Β· π) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 MIT
-- YouTokenToMe (π₯23 Β· β 960 Β· π) - Unsupervised text tokenizer focused on computational efficiency. MIT
- gpt-2-simple (π₯22 Β· β 3.4K Β· π) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT Apache-2
- Texthero (π₯22 Β· β 2.9K Β· π) - Text preprocessing, representation and visualization from zero to.. MIT
- anaGo (π₯22 Β· β 1.5K Β· π) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT MIT
- stop-words (π₯22 Β· β 160 Β· π) - Get list of common stop words in various languages in Python. BSD-3
-- textpipe (π₯21 Β· β 300 Β· π) - Textpipe: clean and extract metadata from text. MIT
- numerizer (π₯21 Β· β 220) - A Python module to convert natural language numerics into ints and.. MIT
- DeepMatcher (π₯20 Β· β 5.1K Β· π) - Python package for performing Entity and Text Matching using.. BSD-3
- lightseq (π₯20 Β· β 3.2K Β· π) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2
- DELTA (π₯20 Β· β 1.6K Β· π) - DELTA is a deep learning based natural language and speech.. Apache-2 MIT
- pyfasttext (π₯20 Β· β 230 Β· π) - Yet another Python binding for fastText. βοΈGPL-3.0
-- nboost (π₯19 Β· β 680 Β· π) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2
-- fastT5 (π₯19 Β· β 560 Β· π) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
- Camphr (π₯19 Β· β 340 Β· π) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy
- NeuroNER (π₯18 Β· β 1.7K Β· π) - Named-entity recognition using neural networks. Easy-to-use and.. MIT
+- nboost (π₯18 Β· β 680 Β· π) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2
+- fastT5 (π₯18 Β· β 560 Β· π) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
- skift (π₯17 Β· β 240 Β· π) - scikit-learn wrappers for Python fastText. MIT MIT
-- Translate (π₯16 Β· β 820 Β· π) - Translate - a PyTorch Language Library. BSD-3 BSD-3 MIT
- BLINK (π₯15 Β· β 1.2K Β· π) - Entity Linker solution. MIT
+- TextBox (π₯15 Β· β 1.1K Β· π) - TextBox 2.0 is a text generation library with pre-trained language.. MIT
- ONNX-T5 (π₯15 Β· β 250 Β· π) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2
- NeuralQA (π₯15 Β· β 230 Β· π) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT
- TransferNLP (π₯14 Β· β 290 Β· π) - NLP library designed for reproducible experimentation.. MIT MIT MIT MIT spacy
@@ -2198,7 +2172,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (π₯48 Β· β 12K) - Python Imaging Library (Fork). βοΈPIL
-- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 480 Β· π 2.2K Β· π¦ 1.9M Β· π 3.2K - 3% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 480 Β· π 2.2K Β· π¦ 1.9M Β· π 3.2K - 3% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/python-pillow/Pillow
@@ -2214,12 +2188,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
PyTorch Image Models (π₯42 Β· β 32K) - The largest collection of PyTorch image encoders /.. Apache-2
-- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 150 Β· π 4.7K Β· π₯ 7.2M Β· π¦ 39K Β· π 920 - 5% open Β· β±οΈ 24.10.2024):
+- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 150 Β· π 4.8K Β· π₯ 7.2M Β· π¦ 40K Β· π 920 - 5% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/rwightman/pytorch-image-models
```
-- [PyPi](https://pypi.org/project/timm) (π₯ 5.7M / month Β· π¦ 950 Β· β±οΈ 16.10.2024):
+- [PyPi](https://pypi.org/project/timm) (π₯ 5.6M / month Β· π¦ 950 Β· β±οΈ 16.10.2024):
```
pip install timm
```
@@ -2230,28 +2204,28 @@ _Libraries for image & video processing, manipulation, and augmentation as well
torchvision (π₯42 Β· β 16K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
-- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 610 Β· π 6.9K Β· π₯ 39K Β· π¦ 21 Β· π 3.5K - 29% open Β· β±οΈ 23.10.2024):
+- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 610 Β· π 6.9K Β· π₯ 39K Β· π¦ 21 Β· π 3.5K - 29% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/pytorch/vision
```
-- [PyPi](https://pypi.org/project/torchvision) (π₯ 14M / month Β· π¦ 5.8K Β· β±οΈ 29.10.2024):
+- [PyPi](https://pypi.org/project/torchvision) (π₯ 15M / month Β· π¦ 5.9K Β· β±οΈ 29.10.2024):
```
pip install torchvision
```
-- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 1.7M Β· β±οΈ 14.10.2024):
+- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 1.8M Β· β±οΈ 05.11.2024):
```
conda install -c conda-forge torchvision
```
Albumentations (π₯40 Β· β 14K) - Fast and flexible image augmentation library. Paper about.. MIT
-- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 150 Β· π 1.6K Β· π¦ 28K Β· π 1.2K - 23% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 150 Β· π 1.6K Β· π¦ 29K Β· π 1K - 15% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/albumentations-team/albumentations
```
-- [PyPi](https://pypi.org/project/albumentations) (π₯ 4.6M / month Β· π¦ 600 Β· β±οΈ 24.10.2024):
+- [PyPi](https://pypi.org/project/albumentations) (π₯ 4.6M / month Β· π¦ 600 Β· β±οΈ 01.11.2024):
```
pip install albumentations
```
@@ -2262,44 +2236,28 @@ _Libraries for image & video processing, manipulation, and augmentation as well
deepface (π₯39 Β· β 14K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
-- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 71 Β· π 2.2K Β· π¦ 4.3K Β· π 1.1K - 0% open Β· β±οΈ 28.10.2024):
+- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 71 Β· π 2.2K Β· π¦ 4.4K Β· π 1.1K - 0% open Β· β±οΈ 28.10.2024):
```
git clone https://github.com/serengil/deepface
```
-- [PyPi](https://pypi.org/project/deepface) (π₯ 180K / month Β· π¦ 44 Β· β±οΈ 17.08.2024):
+- [PyPi](https://pypi.org/project/deepface) (π₯ 230K / month Β· π¦ 44 Β· β±οΈ 17.08.2024):
```
pip install deepface
```
MoviePy (π₯38 Β· β 13K) - Video editing with Python. MIT
-
-- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 160 Β· π 1.6K Β· π¦ 48K Β· π 1.5K - 31% open Β· β±οΈ 27.05.2024):
-
- ```
- git clone https://github.com/Zulko/moviepy
- ```
-- [PyPi](https://pypi.org/project/moviepy) (π₯ 1.4M / month Β· π¦ 940 Β· β±οΈ 15.12.2021):
- ```
- pip install moviepy
- ```
-- [Conda](https://anaconda.org/conda-forge/moviepy) (π₯ 270K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge moviepy
- ```
-Kornia (π₯38 Β· β 9.9K) - Geometric Computer Vision Library for Spatial AI. Apache-2
-- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 270 Β· π 960 Β· π₯ 1.5K Β· π¦ 12K Β· π 950 - 30% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 270 Β· π 970 Β· π₯ 1.5K Β· π¦ 12K Β· π 950 - 30% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/kornia/kornia
```
-- [PyPi](https://pypi.org/project/kornia) (π₯ 1.9M / month Β· π¦ 260 Β· β±οΈ 28.06.2024):
+- [PyPi](https://pypi.org/project/kornia) (π₯ 1.9M / month Β· π¦ 290 Β· β±οΈ 05.11.2024):
```
pip install kornia
```
-- [Conda](https://anaconda.org/conda-forge/kornia) (π₯ 150K Β· β±οΈ 28.06.2024):
+- [Conda](https://anaconda.org/conda-forge/kornia) (π₯ 160K Β· β±οΈ 05.11.2024):
```
conda install -c conda-forge kornia
```
@@ -2311,7 +2269,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/imageio/imageio
```
-- [PyPi](https://pypi.org/project/imageio) (π₯ 32M / month Β· π¦ 2.4K Β· β±οΈ 14.10.2024):
+- [PyPi](https://pypi.org/project/imageio) (π₯ 25M / month Β· π¦ 2.4K Β· β±οΈ 14.10.2024):
```
pip install imageio
```
@@ -2320,36 +2278,52 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge imageio
```
MMDetection (π₯37 Β· β 29K Β· π€) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
+InsightFace (π₯37 Β· β 23K) - State-of-the-art 2D and 3D Face Analysis Project. MIT
-- [GitHub](https://github.com/open-mmlab/mmdetection) (π¨βπ» 480 Β· π 9.4K Β· π¦ 3.1K Β· π 8.5K - 21% open Β· β±οΈ 05.02.2024):
+- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 61 Β· π 5.4K Β· π₯ 5.3M Β· π¦ 2.9K Β· π 2.5K - 45% open Β· β±οΈ 05.11.2024):
```
- git clone https://github.com/open-mmlab/mmdetection
+ git clone https://github.com/deepinsight/insightface
```
-- [PyPi](https://pypi.org/project/mmdet) (π₯ 190K / month Β· π¦ 82 Β· β±οΈ 05.01.2024):
+- [PyPi](https://pypi.org/project/insightface) (π₯ 250K / month Β· π¦ 30 Β· β±οΈ 17.12.2022):
```
- pip install mmdet
+ pip install insightface
```
InsightFace (π₯37 Β· β 23K) - State-of-the-art 2D and 3D Face Analysis Project. MIT
+MoviePy (π₯37 Β· β 13K Β· π) - Video editing with Python. MIT
-- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 61 Β· π 5.4K Β· π₯ 5.2M Β· π¦ 2.9K Β· π 2.5K - 45% open Β· β±οΈ 11.10.2024):
+- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 160 Β· π 1.6K Β· π¦ 48K Β· π 1.5K - 31% open Β· β±οΈ 27.05.2024):
```
- git clone https://github.com/deepinsight/insightface
+ git clone https://github.com/Zulko/moviepy
```
-- [PyPi](https://pypi.org/project/insightface) (π₯ 260K / month Β· π¦ 30 Β· β±οΈ 17.12.2022):
+- [PyPi](https://pypi.org/project/moviepy) (π₯ 1.4M / month Β· π¦ 940 Β· β±οΈ 15.12.2021):
```
- pip install insightface
+ pip install moviepy
+ ```
+- [Conda](https://anaconda.org/conda-forge/moviepy) (π₯ 270K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge moviepy
```
opencv-python (π₯36 Β· β 4.5K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
+MMDetection (π₯36 Β· β 30K Β· π€) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
-- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 49 Β· π 840 Β· π¦ 460K Β· π 820 - 16% open Β· β±οΈ 24.07.2024):
+- [GitHub](https://github.com/open-mmlab/mmdetection) (π¨βπ» 480 Β· π 9.4K Β· π¦ 3.1K Β· π 8.5K - 21% open Β· β±οΈ 05.02.2024):
```
- git clone https://github.com/opencv/opencv-python
+ git clone https://github.com/open-mmlab/mmdetection
+ ```
+- [PyPi](https://pypi.org/project/mmdet) (π₯ 200K / month Β· π¦ 82 Β· β±οΈ 05.01.2024):
+ ```
+ pip install mmdet
+ ```
+opencv-python (π₯35 Β· β 4.5K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
+
+- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 49 Β· π 840 Β· π¦ 460K Β· π 820 - 16% open Β· β±οΈ 24.07.2024):
+
+ ```
+ git clone https://github.com/opencv/opencv-python
```
- [PyPi](https://pypi.org/project/opencv-python) (π₯ 15M / month Β· π¦ 10K Β· β±οΈ 17.06.2024):
```
@@ -2358,7 +2332,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
detectron2 (π₯34 Β· β 30K) - Detectron2 is a platform for object detection, segmentation.. Apache-2
-- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 270 Β· π 7.4K Β· π¦ 2.1K Β· π 3.6K - 14% open Β· β±οΈ 14.10.2024):
+- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 270 Β· π 7.5K Β· π¦ 2.1K Β· π 3.6K - 14% open Β· β±οΈ 14.10.2024):
```
git clone https://github.com/facebookresearch/detectron2
@@ -2367,37 +2341,37 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
pip install detectron2
```
-- [Conda](https://anaconda.org/conda-forge/detectron2) (π₯ 450K Β· β±οΈ 26.08.2024):
+- [Conda](https://anaconda.org/conda-forge/detectron2) (π₯ 460K Β· β±οΈ 06.11.2024):
```
conda install -c conda-forge detectron2
```
Wand (π₯34 Β· β 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT
+PaddleSeg (π₯34 Β· β 8.7K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
-- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 110 Β· π 200 Β· π₯ 51K Β· π¦ 20K Β· π 430 - 6% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (π¨βπ» 130 Β· π 1.7K Β· π¦ 1.3K Β· π 2.2K - 10% open Β· β±οΈ 05.11.2024):
```
- git clone https://github.com/emcconville/wand
- ```
-- [PyPi](https://pypi.org/project/wand) (π₯ 940K / month Β· π¦ 260 Β· β±οΈ 03.11.2023):
- ```
- pip install wand
+ git clone https://github.com/PaddlePaddle/PaddleSeg
```
-- [Conda](https://anaconda.org/conda-forge/wand) (π₯ 81K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/paddleseg) (π₯ 1.6K / month Β· π¦ 7 Β· β±οΈ 30.11.2022):
```
- conda install -c conda-forge wand
+ pip install paddleseg
```
PaddleSeg (π₯33 Β· β 8.7K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
+Wand (π₯34 Β· β 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT
-- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (π¨βπ» 130 Β· π 1.7K Β· π¦ 1.3K Β· π 2.2K - 10% open Β· β±οΈ 25.10.2024):
+- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 110 Β· π 200 Β· π₯ 51K Β· π¦ 20K Β· π 430 - 6% open Β· β±οΈ 01.10.2024):
```
- git clone https://github.com/PaddlePaddle/PaddleSeg
+ git clone https://github.com/emcconville/wand
```
-- [PyPi](https://pypi.org/project/paddleseg) (π₯ 1.5K / month Β· π¦ 7 Β· β±οΈ 30.11.2022):
+- [PyPi](https://pypi.org/project/wand) (π₯ 920K / month Β· π¦ 260 Β· β±οΈ 03.11.2023):
```
- pip install paddleseg
+ pip install wand
+ ```
+- [Conda](https://anaconda.org/conda-forge/wand) (π₯ 82K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge wand
```
vit-pytorch (π₯32 Β· β 20K) - Implementation of Vision Transformer, a simple way to achieve.. MIT
@@ -2407,63 +2381,63 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/lucidrains/vit-pytorch
```
-- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 31K / month Β· π¦ 15 Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 33K / month Β· π¦ 15 Β· β±οΈ 31.10.2024):
```
pip install vit-pytorch
```
lightly (π₯32 Β· β 3.2K) - A python library for self-supervised learning on images. MIT
-- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 57 Β· π 280 Β· π¦ 330 Β· π 580 - 12% open Β· β±οΈ 28.10.2024):
+- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 59 Β· π 280 Β· π¦ 330 Β· π 580 - 12% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/lightly-ai/lightly
```
-- [PyPi](https://pypi.org/project/lightly) (π₯ 35K / month Β· π¦ 14 Β· β±οΈ 24.09.2024):
+- [PyPi](https://pypi.org/project/lightly) (π₯ 41K / month Β· π¦ 17 Β· β±οΈ 07.11.2024):
```
pip install lightly
```
imageai (π₯31 Β· β 8.6K Β· π€) - A python library built to empower developers to build applications.. MIT
+ImageHash (π₯31 Β· β 3.2K) - A Python Perceptual Image Hashing Module. BSD-2
-- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (π¨βπ» 19 Β· π 2.2K Β· π₯ 940K Β· π¦ 1.7K Β· π 760 - 41% open Β· β±οΈ 20.02.2024):
+- [GitHub](https://github.com/JohannesBuchner/imagehash) (π¨βπ» 27 Β· π 330 Β· π¦ 15K Β· π 140 - 13% open Β· β±οΈ 09.10.2024):
```
- git clone https://github.com/OlafenwaMoses/ImageAI
+ git clone https://github.com/JohannesBuchner/imagehash
```
-- [PyPi](https://pypi.org/project/imageai) (π₯ 9.5K / month Β· π¦ 19 Β· β±οΈ 02.01.2023):
+- [PyPi](https://pypi.org/project/ImageHash) (π₯ 1.4M / month Β· π¦ 240 Β· β±οΈ 28.09.2022):
```
- pip install imageai
+ pip install ImageHash
```
-- [Conda](https://anaconda.org/conda-forge/imageai) (π₯ 8.1K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 400K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge imageai
+ conda install -c conda-forge imagehash
```
ImageHash (π₯31 Β· β 3.2K) - A Python Perceptual Image Hashing Module. BSD-2
+imageai (π₯30 Β· β 8.6K Β· π€) - A python library built to empower developers to build applications.. MIT
-- [GitHub](https://github.com/JohannesBuchner/imagehash) (π¨βπ» 27 Β· π 330 Β· π¦ 15K Β· π 140 - 13% open Β· β±οΈ 09.10.2024):
+- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (π¨βπ» 19 Β· π 2.2K Β· π₯ 940K Β· π¦ 1.7K Β· π 760 - 41% open Β· β±οΈ 20.02.2024):
```
- git clone https://github.com/JohannesBuchner/imagehash
+ git clone https://github.com/OlafenwaMoses/ImageAI
```
-- [PyPi](https://pypi.org/project/ImageHash) (π₯ 1.5M / month Β· π¦ 240 Β· β±οΈ 28.09.2022):
+- [PyPi](https://pypi.org/project/imageai) (π₯ 11K / month Β· π¦ 19 Β· β±οΈ 02.01.2023):
```
- pip install ImageHash
+ pip install imageai
```
-- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 400K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/imageai) (π₯ 8.2K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge imagehash
+ conda install -c conda-forge imageai
```
CellProfiler (π₯30 Β· β 910) - An open-source application for biological image analysis. BSD-3
+CellProfiler (π₯30 Β· β 920) - An open-source application for biological image analysis. BSD-3
-- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 140 Β· π 380 Β· π₯ 8K Β· π¦ 24 Β· π 3.3K - 9% open Β· β±οΈ 24.09.2024):
+- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 140 Β· π 380 Β· π₯ 8K Β· π¦ 24 Β· π 3.3K - 9% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/CellProfiler/CellProfiler
```
-- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 3.3K / month Β· π¦ 2 Β· β±οΈ 16.09.2024):
+- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 3.2K / month Β· π¦ 2 Β· β±οΈ 16.09.2024):
```
pip install cellprofiler
```
@@ -2475,77 +2449,65 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/PaddlePaddle/PaddleDetection
```
-- [PyPi](https://pypi.org/project/paddledet) (π₯ 680 / month Β· π¦ 2 Β· β±οΈ 19.09.2022):
+- [PyPi](https://pypi.org/project/paddledet) (π₯ 620 / month Β· π¦ 2 Β· β±οΈ 19.09.2022):
```
pip install paddledet
```
sahi (π₯29 Β· β 4.1K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
-
-- [GitHub](https://github.com/obss/sahi) (π¨βπ» 48 Β· π 570 Β· π₯ 28K Β· π¦ 1.4K Β· β±οΈ 27.08.2024):
-
- ```
- git clone https://github.com/obss/sahi
- ```
-- [PyPi](https://pypi.org/project/sahi) (π₯ 130K / month Β· π¦ 26 Β· β±οΈ 10.07.2024):
- ```
- pip install sahi
- ```
-- [Conda](https://anaconda.org/conda-forge/sahi) (π₯ 77K Β· β±οΈ 24.07.2024):
- ```
- conda install -c conda-forge sahi
- ```
-doctr (π₯29 Β· β 3.8K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
-- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 53 Β· π 430 Β· π₯ 4.1M Β· π 370 - 7% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 54 Β· π 430 Β· π₯ 4.1M Β· π 370 - 7% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/mindee/doctr
```
-- [PyPi](https://pypi.org/project/python-doctr) (π₯ 47K / month Β· π¦ 12 Β· β±οΈ 21.10.2024):
+- [PyPi](https://pypi.org/project/python-doctr) (π₯ 46K / month Β· π¦ 12 Β· β±οΈ 21.10.2024):
```
pip install python-doctr
```
vidgear (π₯29 Β· β 3.4K) - A High-performance cross-platform Video Processing Python framework.. Apache-2
+mtcnn (π₯29 Β· β 2.2K) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT
-- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 14 Β· π 250 Β· π₯ 1.8K Β· π¦ 630 Β· π 300 - 3% open Β· β±οΈ 22.06.2024):
+- [GitHub](https://github.com/ipazc/mtcnn) (π¨βπ» 16 Β· π 530 Β· π₯ 7 Β· π¦ 6.4K Β· π 130 - 37% open Β· β±οΈ 08.10.2024):
```
- git clone https://github.com/abhiTronix/vidgear
+ git clone https://github.com/ipazc/mtcnn
```
-- [PyPi](https://pypi.org/project/vidgear) (π₯ 21K / month Β· π¦ 15 Β· β±οΈ 22.06.2024):
+- [PyPi](https://pypi.org/project/mtcnn) (π₯ 130K / month Β· π¦ 73 Β· β±οΈ 08.10.2024):
```
- pip install vidgear
+ pip install mtcnn
+ ```
+- [Conda](https://anaconda.org/conda-forge/mtcnn) (π₯ 13K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge mtcnn
```
mtcnn (π₯29 Β· β 2.2K) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT
+sahi (π₯28 Β· β 4.1K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
-- [GitHub](https://github.com/ipazc/mtcnn) (π¨βπ» 16 Β· π 530 Β· π₯ 4 Β· π¦ 6.3K Β· π 130 - 37% open Β· β±οΈ 08.10.2024):
+- [GitHub](https://github.com/obss/sahi) (π¨βπ» 48 Β· π 570 Β· π₯ 28K Β· π¦ 1.4K Β· β±οΈ 27.08.2024):
```
- git clone https://github.com/ipazc/mtcnn
+ git clone https://github.com/obss/sahi
```
-- [PyPi](https://pypi.org/project/mtcnn) (π₯ 120K / month Β· π¦ 73 Β· β±οΈ 08.10.2024):
+- [PyPi](https://pypi.org/project/sahi) (π₯ 130K / month Β· π¦ 26 Β· β±οΈ 10.07.2024):
```
- pip install mtcnn
+ pip install sahi
```
-- [Conda](https://anaconda.org/conda-forge/mtcnn) (π₯ 13K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sahi) (π₯ 77K Β· β±οΈ 24.07.2024):
```
- conda install -c conda-forge mtcnn
+ conda install -c conda-forge sahi
```
facenet-pytorch (π₯28 Β· β 4.5K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
+vidgear (π₯28 Β· β 3.4K) - A High-performance cross-platform Video Processing Python framework.. Apache-2
-- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 18 Β· π 940 Β· π₯ 1.4M Β· π¦ 2.3K Β· π 180 - 41% open Β· β±οΈ 02.08.2024):
+- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 14 Β· π 250 Β· π₯ 1.8K Β· π¦ 640 Β· π 300 - 3% open Β· β±οΈ 22.06.2024):
```
- git clone https://github.com/timesler/facenet-pytorch
+ git clone https://github.com/abhiTronix/vidgear
```
-- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 70K / month Β· π¦ 51 Β· β±οΈ 29.04.2024):
+- [PyPi](https://pypi.org/project/vidgear) (π₯ 20K / month Β· π¦ 15 Β· β±οΈ 22.06.2024):
```
- pip install facenet-pytorch
+ pip install vidgear
```
mahotas (π₯28 Β· β 840) - Computer Vision in Python. MIT
@@ -2555,7 +2517,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/luispedro/mahotas
```
-- [PyPi](https://pypi.org/project/mahotas) (π₯ 29K / month Β· π¦ 63 Β· β±οΈ 17.07.2024):
+- [PyPi](https://pypi.org/project/mahotas) (π₯ 27K / month Β· π¦ 63 Β· β±οΈ 17.07.2024):
```
pip install mahotas
```
@@ -2564,26 +2526,26 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge mahotas
```
Face Alignment (π₯27 Β· β 7.1K) - 2D and 3D Face alignment library build using pytorch. BSD-3
+facenet-pytorch (π₯27 Β· β 4.5K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
-- [GitHub](https://github.com/1adrianb/face-alignment) (π¨βπ» 26 Β· π 1.3K Β· π¦ 21 Β· π 320 - 24% open Β· β±οΈ 30.08.2024):
+- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 18 Β· π 940 Β· π₯ 1.4M Β· π¦ 2.4K Β· π 180 - 41% open Β· β±οΈ 02.08.2024):
```
- git clone https://github.com/1adrianb/face-alignment
+ git clone https://github.com/timesler/facenet-pytorch
```
-- [PyPi](https://pypi.org/project/face-alignment) (π₯ 56K / month Β· π¦ 10 Β· β±οΈ 17.08.2023):
+- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 78K / month Β· π¦ 51 Β· β±οΈ 29.04.2024):
```
- pip install face-alignment
+ pip install facenet-pytorch
```
pyvips (π₯27 Β· β 640) - python binding for libvips using cffi. MIT
+pyvips (π₯27 Β· β 650) - python binding for libvips using cffi. MIT
- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 49 Β· π¦ 820 Β· π 450 - 42% open Β· β±οΈ 29.10.2024):
```
git clone https://github.com/libvips/pyvips
```
-- [PyPi](https://pypi.org/project/pyvips) (π₯ 66K / month Β· π¦ 77 Β· β±οΈ 28.04.2024):
+- [PyPi](https://pypi.org/project/pyvips) (π₯ 60K / month Β· π¦ 77 Β· β±οΈ 28.04.2024):
```
pip install pyvips
```
@@ -2592,14 +2554,26 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge pyvips
```
tensorflow-graphics (π₯26 Β· β 2.7K Β· π) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
+Face Alignment (π₯26 Β· β 7.1K) - 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¦ 21 Β· π 320 - 24% open Β· β±οΈ 30.08.2024):
+
+ ```
+ git clone https://github.com/1adrianb/face-alignment
+ ```
+- [PyPi](https://pypi.org/project/face-alignment) (π₯ 55K / month Β· π¦ 10 Β· β±οΈ 17.08.2023):
+ ```
+ pip install face-alignment
+ ```
+tensorflow-graphics (π₯26 Β· β 2.8K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
- [GitHub](https://github.com/tensorflow/graphics) (π¨βπ» 39 Β· π 360 Β· π 240 - 60% open Β· β±οΈ 01.08.2024):
```
git clone https://github.com/tensorflow/graphics
```
-- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 67K / month Β· π¦ 11 Β· β±οΈ 03.12.2021):
+- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 69K / month Β· π¦ 11 Β· β±οΈ 03.12.2021):
```
pip install tensorflow-graphics
```
@@ -2623,43 +2597,43 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/facebookresearch/mmf
```
-- [PyPi](https://pypi.org/project/mmf) (π₯ 1.9K / month Β· π¦ 1 Β· β±οΈ 12.06.2020):
+- [PyPi](https://pypi.org/project/mmf) (π₯ 1.5K / month Β· π¦ 1 Β· β±οΈ 12.06.2020):
```
pip install mmf
```
pytorchvideo (π₯25 Β· β 3.3K) - A deep learning library for video understanding research. Apache-2
+pytorchvideo (π₯24 Β· β 3.3K) - A deep learning library for video understanding research. Apache-2
- [GitHub](https://github.com/facebookresearch/pytorchvideo) (π¨βπ» 56 Β· π 410 Β· π 210 - 50% open Β· β±οΈ 13.08.2024):
```
git clone https://github.com/facebookresearch/pytorchvideo
```
-- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 20K / month Β· π¦ 24 Β· β±οΈ 20.01.2022):
+- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 24K / month Β· π¦ 24 Β· β±οΈ 20.01.2022):
```
pip install pytorchvideo
```
ffcv (π₯25 Β· β 2.9K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2
+ffcv (π₯24 Β· β 2.9K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2
-- [GitHub](https://github.com/libffcv/ffcv) (π¨βπ» 31 Β· π 180 Β· π¦ 54 Β· π 290 - 38% open Β· β±οΈ 06.05.2024):
+- [GitHub](https://github.com/libffcv/ffcv) (π¨βπ» 31 Β· π 180 Β· π¦ 56 Β· π 290 - 38% open Β· β±οΈ 06.05.2024):
```
git clone https://github.com/libffcv/ffcv
```
-- [PyPi](https://pypi.org/project/ffcv) (π₯ 1.1K / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
+- [PyPi](https://pypi.org/project/ffcv) (π₯ 1K / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
```
pip install ffcv
```
segmentation_models (π₯24 Β· β 4.7K) - Segmentation models with pretrained backbones. Keras.. MIT
+segmentation_models (π₯23 Β· β 4.8K) - Segmentation models with pretrained backbones. Keras.. MIT
- [GitHub](https://github.com/qubvel/segmentation_models) (π¨βπ» 15 Β· π 1K Β· π 540 - 50% open Β· β±οΈ 21.08.2024):
```
git clone https://github.com/qubvel/segmentation_models
```
-- [PyPi](https://pypi.org/project/segmentation_models) (π₯ 28K / month Β· π¦ 28 Β· β±οΈ 10.01.2020):
+- [PyPi](https://pypi.org/project/segmentation_models) (π₯ 30K / month Β· π¦ 28 Β· β±οΈ 10.01.2020):
```
pip install segmentation_models
```
@@ -2671,7 +2645,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/facebookresearch/vissl
```
-- [PyPi](https://pypi.org/project/vissl) (π₯ 270 / month Β· π¦ 1 Β· β±οΈ 02.11.2021):
+- [PyPi](https://pypi.org/project/vissl) (π₯ 250 / month Β· π¦ 1 Β· β±οΈ 02.11.2021):
```
pip install vissl
```
@@ -2683,7 +2657,7 @@ _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₯ 60K / month Β· β±οΈ 27.12.2023):
+- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 53K / month Β· β±οΈ 27.12.2023):
```
pip install kubric-nightly
```
@@ -2695,12 +2669,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/airctic/icevision
```
-- [PyPi](https://pypi.org/project/icevision) (π₯ 5.6K / month Β· π¦ 6 Β· β±οΈ 10.02.2022):
+- [PyPi](https://pypi.org/project/icevision) (π₯ 5.4K / month Β· π¦ 6 Β· β±οΈ 10.02.2022):
```
pip install icevision
```
DEβ«ΆTR (π₯21 Β· β 14K Β· π€) - End-to-End Object Detection with Transformers. Apache-2
+DEβ«ΆTR (π₯20 Β· β 14K Β· π€) - End-to-End Object Detection with Transformers. Apache-2
- [GitHub](https://github.com/facebookresearch/detr) (π¨βπ» 27 Β· π 2.4K Β· π¦ 21 Β· π 540 - 47% open Β· β±οΈ 12.03.2024):
@@ -2708,7 +2682,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
git clone https://github.com/facebookresearch/detr
```
PySlowFast (π₯21 Β· β 6.6K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
+PySlowFast (π₯20 Β· β 6.6K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
- [GitHub](https://github.com/facebookresearch/SlowFast) (π¨βπ» 33 Β· π 1.2K Β· π¦ 20 Β· π 700 - 58% open Β· β±οΈ 13.08.2024):
@@ -2730,30 +2704,30 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Show 24 hidden projects...
-- scikit-image (π₯42 Β· β 6.1K Β· π) - Image processing in Python. βUnlicensed
+- scikit-image (π₯42 Β· β 6.1K) - Image processing in Python. βUnlicensed
- imgaug (π₯36 Β· β 14K Β· π) - Image augmentation for machine learning experiments. MIT
-- glfw (π₯36 Β· β 13K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. βοΈZlib
-- Face Recognition (π₯35 Β· β 53K Β· π) - The worlds simplest facial recognition api for Python.. MIT βοΈZlib
+- Face Recognition (π₯34 Β· β 53K Β· π) - The worlds simplest facial recognition api for Python.. MIT βUnlicensed MIT
+- imutils (π₯30 Β· β 4.5K Β· π) - A series of convenience functions to make basic image processing.. MIT
- GluonCV (π₯29 Β· β 5.8K Β· π) - Gluon CV Toolkit. Apache-2 Apache-2
+- layout-parser (π₯27 Β· β 4.9K Β· π) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2
- Pillow-SIMD (π₯27 Β· β 2.2K) - The friendly PIL fork. βοΈPIL
- chainercv (π₯27 Β· β 1.5K Β· π) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT
- Augmentor (π₯26 Β· β 5.1K Β· π) - Image augmentation library in Python for machine learning. MIT
-- Image Deduplicator (π₯24 Β· β 5.1K Β· π) - Finding duplicate images made easy!. Apache-2 Apache-2 MIT
- Luminoth (π₯23 Β· β 2.4K Β· π) - Deep Learning toolkit for Computer Vision. BSD-3 MIT Apache-2 Apache-2 Apache-2
-- pycls (π₯20 Β· β 2.1K Β· π) - Codebase for Image Classification Research, written in PyTorch. MIT MIT
- detecto (π₯20 Β· β 610 Β· π) - Build fully-functioning computer vision models with PyTorch. MIT MIT MIT
- solt (π₯18 Β· β 260) - Streaming over lightweight data transformations. MIT
- Torch Points 3D (π₯17 Β· β 220 Β· π) - Pytorch framework for doing deep learning on point.. BSD-3 MIT huggingface
+- HugsVision (π₯16 Β· β 200 Β· π) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface
@@ -2765,12 +2739,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
networkx (π₯44 Β· β 15K) - Network Analysis in Python. BSD-3
-- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 750 Β· π 3.2K Β· π₯ 76 Β· π¦ 310K Β· π 3.4K - 10% open Β· β±οΈ 25.10.2024):
+- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 750 Β· π 3.2K Β· π₯ 76 Β· π¦ 310K Β· π 3.4K - 10% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/networkx/networkx
```
-- [PyPi](https://pypi.org/project/networkx) (π₯ 76M / month Β· π¦ 9.6K Β· β±οΈ 21.10.2024):
+- [PyPi](https://pypi.org/project/networkx) (π₯ 68M / month Β· π¦ 9.6K Β· β±οΈ 21.10.2024):
```
pip install networkx
```
@@ -2786,11 +2760,11 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/pyg-team/pytorch_geometric
```
-- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 370K / month Β· π¦ 360 Β· β±οΈ 26.09.2024):
+- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 380K / month Β· π¦ 360 Β· β±οΈ 26.09.2024):
```
pip install torch-geometric
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (π₯ 100K Β· β±οΈ 26.09.2024):
+- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (π₯ 110K Β· β±οΈ 26.09.2024):
```
conda install -c conda-forge pytorch_geometric
```
@@ -2802,7 +2776,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/dmlc/dgl
```
-- [PyPi](https://pypi.org/project/dgl) (π₯ 200K / month Β· π¦ 150 Β· β±οΈ 13.05.2024):
+- [PyPi](https://pypi.org/project/dgl) (π₯ 230K / month Β· π¦ 150 Β· β±οΈ 13.05.2024):
```
pip install dgl
```
@@ -2814,38 +2788,38 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/graphistry/pygraphistry
```
-- [PyPi](https://pypi.org/project/graphistry) (π₯ 16K / month Β· π¦ 6 Β· β±οΈ 20.10.2024):
+- [PyPi](https://pypi.org/project/graphistry) (π₯ 14K / month Β· π¦ 6 Β· β±οΈ 20.10.2024):
```
pip install graphistry
```
PyKEEN (π₯32 Β· β 1.7K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
-- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 41 Β· π 190 Β· π₯ 220 Β· π¦ 250 Β· π 570 - 19% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 41 Β· π 190 Β· π₯ 220 Β· π¦ 250 Β· π 580 - 19% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/pykeen/pykeen
```
-- [PyPi](https://pypi.org/project/pykeen) (π₯ 11K / month Β· π¦ 19 Β· β±οΈ 29.10.2024):
+- [PyPi](https://pypi.org/project/pykeen) (π₯ 12K / month Β· π¦ 19 Β· β±οΈ 29.10.2024):
```
pip install pykeen
```
Spektral (π₯28 Β· β 2.4K Β· π€) - Graph Neural Networks with Keras and Tensorflow 2. MIT
-- [GitHub](https://github.com/danielegrattarola/spektral) (π¨βπ» 27 Β· π 340 Β· π¦ 340 Β· π 280 - 24% open Β· β±οΈ 21.01.2024):
+- [GitHub](https://github.com/danielegrattarola/spektral) (π¨βπ» 27 Β· π 340 Β· π¦ 340 Β· π 280 - 25% open Β· β±οΈ 21.01.2024):
```
git clone https://github.com/danielegrattarola/spektral
```
-- [PyPi](https://pypi.org/project/spektral) (π₯ 11K / month Β· π¦ 7 Β· β±οΈ 21.01.2024):
+- [PyPi](https://pypi.org/project/spektral) (π₯ 10K / month Β· π¦ 7 Β· β±οΈ 21.01.2024):
```
pip install spektral
```
ogb (π₯28 Β· β 1.9K Β· π€) - 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¦ 2K Β· π 300 - 8% open Β· β±οΈ 01.02.2024):
+- [GitHub](https://github.com/snap-stanford/ogb) (π¨βπ» 32 Β· π 400 Β· π¦ 2K Β· π 300 - 9% open Β· β±οΈ 01.02.2024):
```
git clone https://github.com/snap-stanford/ogb
@@ -2866,7 +2840,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/Accenture/AmpliGraph
```
-- [PyPi](https://pypi.org/project/ampligraph) (π₯ 3.4K / month Β· π¦ 2 Β· β±οΈ 26.02.2024):
+- [PyPi](https://pypi.org/project/ampligraph) (π₯ 3.5K / month Β· π¦ 2 Β· β±οΈ 26.02.2024):
```
pip install ampligraph
```
@@ -2883,7 +2857,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pip install torch-geometric-temporal
```
Node2Vec (π₯25 Β· β 1.2K) - Implementation of the node2vec algorithm. MIT
+PyTorch-BigGraph (π₯24 Β· β 3.4K Β· π€) - Generate embeddings from large-scale graph-structured.. BSD-3
+
+- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (π¨βπ» 32 Β· π 450 Β· π₯ 210 Β· π 200 - 32% open Β· β±οΈ 03.03.2024):
+
+ ```
+ git clone https://github.com/facebookresearch/PyTorch-BigGraph
+ ```
+- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 450K / month Β· π¦ 2 Β· β±οΈ 14.10.2019):
+ ```
+ pip install torchbiggraph
+ ```
+Node2Vec (π₯24 Β· β 1.2K) - Implementation of the node2vec algorithm. MIT
- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 16 Β· π 240 Β· π¦ 710 Β· π 93 - 5% open Β· β±οΈ 02.08.2024):
@@ -2899,18 +2885,6 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
conda install -c conda-forge node2vec
```
PyTorch-BigGraph (π₯24 Β· β 3.4K Β· π€) - Generate embeddings from large-scale graph-structured.. BSD-3
-
-- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (π¨βπ» 32 Β· π 450 Β· π₯ 210 Β· π 200 - 32% open Β· β±οΈ 03.03.2024):
-
- ```
- git clone https://github.com/facebookresearch/PyTorch-BigGraph
- ```
-- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 440K / month Β· π¦ 2 Β· β±οΈ 14.10.2019):
- ```
- pip install torchbiggraph
- ```
-torch-cluster (π₯22 Β· β 820) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
- [GitHub](https://github.com/rusty1s/pytorch_cluster) (π¨βπ» 35 Β· π 140 Β· π 180 - 21% open Β· β±οΈ 10.09.2024):
@@ -2922,19 +2896,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
pip install torch-cluster
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (π₯ 210K Β· β±οΈ 28.08.2024):
+- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (π₯ 220K Β· β±οΈ 28.08.2024):
```
conda install -c conda-forge pytorch_cluster
```
deepsnap (π₯20 Β· β 550 Β· π€) - Python library assists deep learning on graphs. MIT
-- [GitHub](https://github.com/snap-stanford/deepsnap) (π¨βπ» 18 Β· π 57 Β· π₯ 13 Β· π¦ 110 Β· π 50 - 50% open Β· β±οΈ 11.11.2023):
+- [GitHub](https://github.com/snap-stanford/deepsnap) (π¨βπ» 18 Β· π 57 Β· π₯ 13 Β· π¦ 120 Β· π 50 - 50% open Β· β±οΈ 11.11.2023):
```
git clone https://github.com/snap-stanford/deepsnap
```
-- [PyPi](https://pypi.org/project/deepsnap) (π₯ 910 / month Β· π¦ 2 Β· β±οΈ 05.09.2021):
+- [PyPi](https://pypi.org/project/deepsnap) (π₯ 850 / month Β· π¦ 2 Β· β±οΈ 05.09.2021):
```
pip install deepsnap
```
@@ -2946,7 +2920,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/gsi-upm/sematch
```
-- [PyPi](https://pypi.org/project/sematch) (π₯ 310 / month Β· β±οΈ 17.04.2017):
+- [PyPi](https://pypi.org/project/sematch) (π₯ 260 / month Β· β±οΈ 17.04.2017):
```
pip install sematch
```
@@ -2958,12 +2932,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/vaticle/kglib
```
-- [PyPi](https://pypi.org/project/grakn-kglib) (π₯ 490 / month Β· β±οΈ 19.08.2020):
+- [PyPi](https://pypi.org/project/grakn-kglib) (π₯ 410 / month Β· β±οΈ 19.08.2020):
```
pip install grakn-kglib
```
AutoGL (π₯16 Β· β 1.1K Β· π€) - An autoML framework & toolkit for machine learning on graphs. Apache-2
+AutoGL (π₯15 Β· β 1.1K Β· π€) - An autoML framework & toolkit for machine learning on graphs. Apache-2
- [GitHub](https://github.com/THUMNLab/AutoGL) (π¨βπ» 16 Β· π 120 Β· π 39 - 35% open Β· β±οΈ 05.02.2024):
@@ -2997,9 +2971,9 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
Show 18 hidden projects...
-- igraph (π₯35 Β· β 1.3K) - Python interface for igraph. βοΈGPL-2.0
+- igraph (π₯34 Β· β 1.3K) - Python interface for igraph. βοΈGPL-2.0
- StellarGraph (π₯28 Β· β 2.9K Β· π) - StellarGraph - Machine Learning on Graphs. Apache-2 βοΈLGPL-3.0
+- pygal (π₯26 Β· β 2.7K Β· π) - PYthon svg GrAph plotting Library. βοΈLGPL-3.0
- Paddle Graph Learning (π₯26 Β· β 1.6K Β· π) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 βοΈGPL-3.0
- graph-nets (π₯22 Β· β 5.4K Β· π) - Build Graph Nets in Tensorflow. Apache-2 MIT
- DeepGraph (π₯19 Β· β 280 Β· π€) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 Apache-2 MIT MIT MIT MIT βUnlicensed
@@ -3024,54 +2998,38 @@ _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._
-speechbrain (π₯41 Β· β 8.8K) - A PyTorch-based Speech Toolkit. Apache-2
+speechbrain (π₯41 Β· β 8.9K) - A PyTorch-based Speech Toolkit. Apache-2
-- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 250 Β· π 1.4K Β· π¦ 2.4K Β· π 1.1K - 11% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 250 Β· π 1.4K Β· π¦ 2.4K Β· π 1.1K - 11% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/speechbrain/speechbrain
```
-- [PyPi](https://pypi.org/project/speechbrain) (π₯ 3.5M / month Β· π¦ 67 Β· β±οΈ 30.10.2024):
+- [PyPi](https://pypi.org/project/speechbrain) (π₯ 3.4M / month Β· π¦ 67 Β· β±οΈ 30.10.2024):
```
pip install speechbrain
```
espnet (π₯38 Β· β 8.4K) - End-to-End Speech Processing Toolkit. Apache-2
+espnet (π₯38 Β· β 8.5K) - End-to-End Speech Processing Toolkit. Apache-2
-- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 460 Β· π 2.2K Β· π₯ 82 Β· π¦ 380 Β· π 2.4K - 14% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 460 Β· π 2.2K Β· π₯ 82 Β· π¦ 380 Β· π 2.4K - 14% open Β· β±οΈ 01.11.2024):
```
git clone https://github.com/espnet/espnet
```
-- [PyPi](https://pypi.org/project/espnet) (π₯ 41K / month Β· π¦ 12 Β· β±οΈ 06.02.2024):
+- [PyPi](https://pypi.org/project/espnet) (π₯ 37K / month Β· π¦ 12 Β· β±οΈ 06.02.2024):
```
pip install espnet
```
Coqui TTS (π₯35 Β· β 35K Β· π€) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
-
-- [GitHub](https://github.com/coqui-ai/TTS) (π¨βπ» 170 Β· π 4.2K Β· π₯ 3.6M Β· π¦ 1.8K Β· π 1.1K - 7% open Β· β±οΈ 10.02.2024):
-
- ```
- git clone https://github.com/coqui-ai/TTS
- ```
-- [PyPi](https://pypi.org/project/tts) (π₯ 130K / month Β· π¦ 53 Β· β±οΈ 12.12.2023):
- ```
- pip install tts
- ```
-- [Conda](https://anaconda.org/conda-forge/tts) (π₯ 18K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge tts
- ```
-SpeechRecognition (π₯35 Β· β 8.4K) - Speech recognition module for Python, supporting several.. BSD-3
-- [GitHub](https://github.com/Uberi/speech_recognition) (π¨βπ» 51 Β· π 2.4K Β· π¦ 21 Β· π 660 - 50% open Β· β±οΈ 21.10.2024):
+- [GitHub](https://github.com/Uberi/speech_recognition) (π¨βπ» 51 Β· π 2.4K Β· π¦ 21 Β· π 660 - 50% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/Uberi/speech_recognition
```
-- [PyPi](https://pypi.org/project/SpeechRecognition) (π₯ 1M / month Β· π¦ 580 Β· β±οΈ 20.10.2024):
+- [PyPi](https://pypi.org/project/SpeechRecognition) (π₯ 1.1M / month Β· π¦ 580 Β· β±οΈ 20.10.2024):
```
pip install SpeechRecognition
```
@@ -3087,37 +3045,41 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/pytorch/audio
```
-- [PyPi](https://pypi.org/project/torchaudio) (π₯ 6.3M / month Β· π¦ 1.4K Β· β±οΈ 29.10.2024):
+- [PyPi](https://pypi.org/project/torchaudio) (π₯ 6.4M / month Β· π¦ 1.4K Β· β±οΈ 29.10.2024):
```
pip install torchaudio
```
librosa (π₯33 Β· β 7.1K) - Python library for audio and music analysis. ISC
+Coqui TTS (π₯34 Β· β 35K Β· π€) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
-- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 120 Β· π 960 Β· π 1.2K - 4% open Β· β±οΈ 08.10.2024):
+- [GitHub](https://github.com/coqui-ai/TTS) (π¨βπ» 170 Β· π 4.3K Β· π₯ 3.6M Β· π¦ 1.9K Β· π 1.1K - 8% open Β· β±οΈ 10.02.2024):
```
- git clone https://github.com/librosa/librosa
+ git clone https://github.com/coqui-ai/TTS
```
-- [PyPi](https://pypi.org/project/librosa) (π₯ 2.9M / month Β· π¦ 1.4K Β· β±οΈ 14.05.2024):
+- [PyPi](https://pypi.org/project/tts) (π₯ 130K / month Β· π¦ 53 Β· β±οΈ 12.12.2023):
```
- pip install librosa
+ pip install tts
```
-- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 820K Β· β±οΈ 15.05.2024):
+- [Conda](https://anaconda.org/conda-forge/tts) (π₯ 19K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge librosa
+ conda install -c conda-forge tts
```
Magenta (π₯32 Β· β 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
+librosa (π₯32 Β· β 7.1K) - Python library for audio and music analysis. ISC
-- [GitHub](https://github.com/magenta/magenta) (π¨βπ» 160 Β· π 3.7K Β· π¦ 540 Β· π 1K - 41% open Β· β±οΈ 01.08.2024):
+- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 120 Β· π 960 Β· π 1.2K - 4% open Β· β±οΈ 08.10.2024):
```
- git clone https://github.com/magenta/magenta
+ git clone https://github.com/librosa/librosa
```
-- [PyPi](https://pypi.org/project/magenta) (π₯ 7.8K / month Β· π¦ 5 Β· β±οΈ 01.08.2022):
+- [PyPi](https://pypi.org/project/librosa) (π₯ 3M / month Β· π¦ 1.4K Β· β±οΈ 14.05.2024):
```
- pip install magenta
+ pip install librosa
+ ```
+- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 830K Β· β±οΈ 15.05.2024):
+ ```
+ conda install -c conda-forge librosa
```
spleeter (π₯31 Β· β 26K) - Deezer source separation library including pretrained models. MIT
@@ -3127,15 +3089,27 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/deezer/spleeter
```
-- [PyPi](https://pypi.org/project/spleeter) (π₯ 23K / month Β· π¦ 12 Β· β±οΈ 10.06.2022):
+- [PyPi](https://pypi.org/project/spleeter) (π₯ 24K / month Β· π¦ 12 Β· β±οΈ 10.06.2022):
```
pip install spleeter
```
-- [Conda](https://anaconda.org/conda-forge/spleeter) (π₯ 95K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/spleeter) (π₯ 96K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge spleeter
```
Magenta (π₯31 Β· β 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
+
+- [GitHub](https://github.com/magenta/magenta) (π¨βπ» 160 Β· π 3.7K Β· π¦ 540 Β· π 1K - 41% open Β· β±οΈ 01.08.2024):
+
+ ```
+ git clone https://github.com/magenta/magenta
+ ```
+- [PyPi](https://pypi.org/project/magenta) (π₯ 7.3K / month Β· π¦ 5 Β· β±οΈ 01.08.2022):
+ ```
+ pip install magenta
+ ```
+audiomentations (π₯31 Β· β 1.9K) - A Python library for audio data augmentation. Inspired by.. MIT
- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 29 Β· π 190 Β· π¦ 590 Β· π 180 - 25% open Β· β±οΈ 07.10.2024):
@@ -3143,14 +3117,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/iver56/audiomentations
```
-- [PyPi](https://pypi.org/project/audiomentations) (π₯ 50K / month Β· π¦ 18 Β· β±οΈ 03.09.2024):
+- [PyPi](https://pypi.org/project/audiomentations) (π₯ 52K / month Β· π¦ 18 Β· β±οΈ 03.09.2024):
```
pip install audiomentations
```
Porcupine (π₯30 Β· β 3.8K) - On-device wake word detection powered by deep learning. Apache-2
-- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 39 Β· π 500 Β· π¦ 34 Β· π 560 - 0% open Β· β±οΈ 28.10.2024):
+- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 39 Β· π 500 Β· π¦ 35 Β· π 560 - 0% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/Picovoice/Porcupine
@@ -3178,12 +3152,12 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
python-soundfile (π₯29 Β· β 710) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
-- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 34 Β· π 110 Β· π₯ 20K Β· π¦ 44K Β· π 260 - 46% open Β· β±οΈ 27.07.2024):
+- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 34 Β· π 110 Β· π₯ 20K Β· π¦ 45K Β· π 260 - 46% open Β· β±οΈ 27.07.2024):
```
git clone https://github.com/bastibe/python-soundfile
```
-- [PyPi](https://pypi.org/project/soundfile) (π₯ 4.2M / month Β· π¦ 780 Β· β±οΈ 15.02.2023):
+- [PyPi](https://pypi.org/project/soundfile) (π₯ 3.7M / month Β· π¦ 780 Β· β±οΈ 15.02.2023):
```
pip install soundfile
```
@@ -3192,31 +3166,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
conda install -c anaconda pysoundfile
```
pyAudioAnalysis (π₯28 Β· β 5.9K Β· π€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
-
-- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 28 Β· π 1.2K Β· π¦ 520 Β· π 320 - 62% open Β· β±οΈ 22.10.2023):
-
- ```
- git clone https://github.com/tyiannak/pyAudioAnalysis
- ```
-- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 14K / month Β· π¦ 12 Β· β±οΈ 07.02.2022):
- ```
- pip install pyAudioAnalysis
- ```
-tinytag (π₯28 Β· β 700) - Python library for reading audio file metadata. MIT
+tinytag (π₯29 Β· β 700) - Python library for reading audio file metadata. MIT
-- [GitHub](https://github.com/tinytag/tinytag) (π¨βπ» 27 Β· π 100 Β· π¦ 1.1K Β· π 130 - 11% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/tinytag/tinytag) (π¨βπ» 27 Β· π 100 Β· π¦ 1.1K Β· π 120 - 3% open Β· β±οΈ 03.11.2024):
```
git clone https://github.com/devsnd/tinytag
```
-- [PyPi](https://pypi.org/project/tinytag) (π₯ 26K / month Β· π¦ 110 Β· β±οΈ 26.10.2023):
+- [PyPi](https://pypi.org/project/tinytag) (π₯ 28K / month Β· π¦ 110 Β· β±οΈ 03.11.2024):
```
pip install tinytag
```
Madmom (π₯27 Β· β 1.3K) - Python audio and music signal processing library. BSD-3
+Madmom (π₯26 Β· β 1.3K) - Python audio and music signal processing library. BSD-3
- [GitHub](https://github.com/CPJKU/madmom) (π¨βπ» 24 Β· π 200 Β· π¦ 440 Β· π 280 - 24% open Β· β±οΈ 25.08.2024):
@@ -3230,12 +3192,12 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
DDSP (π₯24 Β· β 2.9K) - DDSP: Differentiable Digital Signal Processing. Apache-2
-- [GitHub](https://github.com/magenta/ddsp) (π¨βπ» 32 Β· π 320 Β· π¦ 60 Β· π 170 - 28% open Β· β±οΈ 23.09.2024):
+- [GitHub](https://github.com/magenta/ddsp) (π¨βπ» 32 Β· π 330 Β· π¦ 61 Β· π 170 - 28% open Β· β±οΈ 23.09.2024):
```
git clone https://github.com/magenta/ddsp
```
-- [PyPi](https://pypi.org/project/ddsp) (π₯ 6K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
+- [PyPi](https://pypi.org/project/ddsp) (π₯ 5.5K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
```
pip install ddsp
```
@@ -3256,18 +3218,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
pip install nnAudio
```
Show 12 hidden projects...
+Show 13 hidden projects...
- DeepSpeech (π₯35 Β· β 25K Β· π) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 MIT
-- aubio (π₯28 Β· β 3.3K Β· π€) - a library for audio and music analysis. βοΈGPL-3.0
+- pyAudioAnalysis (π₯28 Β· β 5.9K Β· π) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
- Essentia (π₯28 Β· β 2.8K) - C++ library for audio and music analysis, description and.. βοΈAGPL-3.0
+- aubio (π₯27 Β· β 3.3K Β· π€) - a library for audio and music analysis. βοΈGPL-3.0
- TTS (π₯26 Β· β 9.4K Β· π) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
- python_speech_features (π₯24 Β· β 2.4K Β· π) - This library provides common speech features for ASR.. MIT
- Dejavu (π₯23 Β· β 6.4K Β· π) - Audio fingerprinting and recognition in Python. MIT
- kapre (π₯22 Β· β 920 Β· π) - kapre: Keras Audio Preprocessors. MIT βοΈAGPL-3.0
-- Julius (π₯21 Β· β 420 Β· π) - Fast PyTorch based DSP for audio and 1D signals. MIT MIT ISC
- textlesslib (π₯10 Β· β 530 Β· π) - Library for Textless Spoken Language Processing. MIT pydeck (π₯43 Β· β 12K) - WebGL2 powered visualization framework. MIT
-- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 270 Β· π 2.1K Β· π¦ 8.2K Β· π 3.1K - 11% open Β· β±οΈ 21.10.2024):
+- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 270 Β· π 2.1K Β· π¦ 8.3K Β· π 3.1K - 11% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/visgl/deck.gl
@@ -3290,7 +3253,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
pip install pydeck
```
-- [Conda](https://anaconda.org/conda-forge/pydeck) (π₯ 630K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pydeck) (π₯ 640K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge pydeck
```
@@ -3301,12 +3264,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Shapely (π₯40 Β· β 3.9K) - Manipulation and analysis of geometric objects. BSD-3
-- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 160 Β· π 560 Β· π₯ 3.7K Β· π¦ 83K Β· π 1.2K - 23% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 160 Β· π 560 Β· π₯ 3.7K Β· π¦ 84K Β· π 1.2K - 23% open Β· β±οΈ 30.10.2024):
```
git clone https://github.com/shapely/shapely
```
-- [PyPi](https://pypi.org/project/shapely) (π₯ 33M / month Β· π¦ 2.9K Β· β±οΈ 19.08.2024):
+- [PyPi](https://pypi.org/project/shapely) (π₯ 32M / month Β· π¦ 2.9K Β· β±οΈ 19.08.2024):
```
pip install shapely
```
@@ -3317,7 +3280,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
folium (π₯39 Β· β 6.9K) - Python Data. Leaflet.js Maps. MIT
-- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 170 Β· π 2.2K Β· π¦ 45K Β· π 1.1K - 7% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 170 Β· π 2.2K Β· π¦ 45K Β· π 1.1K - 7% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/python-visualization/folium
@@ -3333,12 +3296,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
GeoPandas (π₯39 Β· β 4.5K) - Python tools for geographic data. BSD-3
-- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 230 Β· π 930 Β· π₯ 2.7K Β· π¦ 43K Β· π 1.7K - 26% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 240 Β· π 930 Β· π₯ 2.7K Β· π¦ 43K Β· π 1.7K - 26% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/geopandas/geopandas
```
-- [PyPi](https://pypi.org/project/geopandas) (π₯ 7.5M / month Β· π¦ 2.8K Β· β±οΈ 02.07.2024):
+- [PyPi](https://pypi.org/project/geopandas) (π₯ 7.2M / month Β· π¦ 2.8K Β· β±οΈ 02.07.2024):
```
pip install geopandas
```
@@ -3349,12 +3312,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Rasterio (π₯38 Β· β 2.3K) - Rasterio reads and writes geospatial raster datasets. BSD-3
-- [GitHub](https://github.com/rasterio/rasterio) (π¨βπ» 160 Β· π 530 Β· π₯ 970 Β· π¦ 14K Β· π 1.8K - 7% open Β· β±οΈ 22.10.2024):
+- [GitHub](https://github.com/rasterio/rasterio) (π¨βπ» 160 Β· π 530 Β· π₯ 970 Β· π¦ 14K Β· π 1.8K - 7% open Β· β±οΈ 31.10.2024):
```
git clone https://github.com/rasterio/rasterio
```
-- [PyPi](https://pypi.org/project/rasterio) (π₯ 3.6M / month Β· π¦ 1.5K Β· β±οΈ 30.10.2024):
+- [PyPi](https://pypi.org/project/rasterio) (π₯ 3.5M / month Β· π¦ 1.5K Β· β±οΈ 30.10.2024):
```
pip install rasterio
```
@@ -3365,12 +3328,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
ArcGIS API (π₯37 Β· β 1.9K) - Documentation and samples for ArcGIS API for Python. Apache-2
-- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 94 Β· π 1.1K Β· π₯ 13K Β· π¦ 840 Β· π 770 - 8% open Β· β±οΈ 17.10.2024):
+- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 94 Β· π 1.1K Β· π₯ 13K Β· π¦ 840 Β· π 780 - 8% open Β· β±οΈ 01.11.2024):
```
git clone https://github.com/Esri/arcgis-python-api
```
-- [PyPi](https://pypi.org/project/arcgis) (π₯ 83K / month Β· π¦ 40 Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/arcgis) (π₯ 84K / month Β· π¦ 40 Β· β±οΈ 01.10.2024):
```
pip install arcgis
```
@@ -3386,7 +3349,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/Toblerity/Fiona
```
-- [PyPi](https://pypi.org/project/fiona) (π₯ 5.2M / month Β· π¦ 300 Β· β±οΈ 16.09.2024):
+- [PyPi](https://pypi.org/project/fiona) (π₯ 5M / month Β· π¦ 300 Β· β±οΈ 16.09.2024):
```
pip install fiona
```
@@ -3402,7 +3365,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/pyproj4/pyproj
```
-- [PyPi](https://pypi.org/project/pyproj) (π₯ 9.6M / month Β· π¦ 1.7K Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/pyproj) (π₯ 9.4M / month Β· π¦ 1.7K Β· β±οΈ 01.10.2024):
```
pip install pyproj
```
@@ -3411,9 +3374,9 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge pyproj
```
geopy (π₯33 Β· β 4.5K Β· π€) - Geocoding library for Python. MIT
+geopy (π₯32 Β· β 4.5K Β· π€) - Geocoding library for Python. MIT
-- [GitHub](https://github.com/geopy/geopy) (π¨βπ» 130 Β· π 640 Β· π₯ 91 Β· π 290 - 13% open Β· β±οΈ 23.11.2023):
+- [GitHub](https://github.com/geopy/geopy) (π¨βπ» 130 Β· π 640 Β· π₯ 94 Β· π 290 - 13% open Β· β±οΈ 23.11.2023):
```
git clone https://github.com/geopy/geopy
@@ -3427,7 +3390,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge geopy
```
ipyleaflet (π₯32 Β· β 1.5K) - A Jupyter - Leaflet.js bridge. MIT
+ipyleaflet (π₯32 Β· β 1.5K) - A Jupyter - Leaflet.js bridge. MIT
- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 90 Β· π 360 Β· π¦ 12K Β· π 650 - 44% open Β· β±οΈ 21.10.2024):
@@ -3442,7 +3405,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
conda install -c conda-forge ipyleaflet
```
-- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 7.5K / month Β· π¦ 9 Β· β±οΈ 22.07.2024):
+- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 7.4K / month Β· π¦ 9 Β· β±οΈ 22.07.2024):
```
npm install jupyter-leaflet
```
@@ -3454,7 +3417,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/pysal/pysal
```
-- [PyPi](https://pypi.org/project/pysal) (π₯ 41K / month Β· π¦ 49 Β· β±οΈ 30.07.2024):
+- [PyPi](https://pypi.org/project/pysal) (π₯ 38K / month Β· π¦ 49 Β· β±οΈ 30.07.2024):
```
pip install pysal
```
@@ -3465,12 +3428,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
geojson (π₯30 Β· β 920) - Python bindings and utilities for GeoJSON. BSD-3
-- [GitHub](https://github.com/jazzband/geojson) (π¨βπ» 58 Β· π 120 Β· π¦ 19K Β· π 99 - 24% open Β· β±οΈ 25.10.2024):
+- [GitHub](https://github.com/jazzband/geojson) (π¨βπ» 58 Β· π 120 Β· π¦ 19K Β· π 100 - 24% open Β· β±οΈ 25.10.2024):
```
git clone https://github.com/jazzband/geojson
```
-- [PyPi](https://pypi.org/project/geojson) (π₯ 2.9M / month Β· π¦ 700 Β· β±οΈ 05.11.2023):
+- [PyPi](https://pypi.org/project/geojson) (π₯ 2.8M / month Β· π¦ 700 Β· β±οΈ 05.11.2023):
```
pip install geojson
```
@@ -3486,11 +3449,11 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/holoviz/geoviews
```
-- [PyPi](https://pypi.org/project/geoviews) (π₯ 22K / month Β· π¦ 59 Β· β±οΈ 16.09.2024):
+- [PyPi](https://pypi.org/project/geoviews) (π₯ 24K / month Β· π¦ 59 Β· β±οΈ 16.09.2024):
```
pip install geoviews
```
-- [Conda](https://anaconda.org/conda-forge/geoviews) (π₯ 250K Β· β±οΈ 17.09.2024):
+- [Conda](https://anaconda.org/conda-forge/geoviews) (π₯ 260K Β· β±οΈ 17.09.2024):
```
conda install -c conda-forge geoviews
```
@@ -3502,7 +3465,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/geospace-code/pymap3d
```
-- [PyPi](https://pypi.org/project/pymap3d) (π₯ 220K / month Β· π¦ 44 Β· β±οΈ 11.02.2024):
+- [PyPi](https://pypi.org/project/pymap3d) (π₯ 210K / month Β· π¦ 44 Β· β±οΈ 11.02.2024):
```
pip install pymap3d
```
@@ -3513,8 +3476,8 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Show 8 hidden projects...
-- Geocoder (π₯32 Β· β 1.6K Β· π) - Python Geocoder. MIT
-- Satpy (π₯32 Β· β 1.1K) - Python package for earth-observing satellite data processing. βοΈGPL-3.0
+- Geocoder (π₯32 Β· β 1.6K Β· π) - Python Geocoder. MIT
+- Satpy (π₯32 Β· β 1.1K) - Python package for earth-observing satellite data processing. βοΈGPL-3.0
- Sentinelsat (π₯27 Β· β 980 Β· π€) - Search and download Copernicus Sentinel satellite images. βοΈGPL-3.0
- EarthPy (π₯26 Β· β 510 Β· π) - A package built to support working with spatial data using open.. BSD-3
- prettymaps (π₯24 Β· β 11K) - A small set of Python functions to draw pretty maps from.. βοΈAGPL-3.0
@@ -3530,14 +3493,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
_Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data._
-yfinance (π₯41 Β· β 14K) - Download market data from Yahoo! Finances API. Apache-2
+yfinance (π₯41 Β· β 15K) - Download market data from Yahoo! Finances API. Apache-2
-- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 130 Β· π 2.4K Β· π¦ 50K Β· π 1.4K - 13% open Β· β±οΈ 25.10.2024):
+- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 130 Β· π 2.4K Β· π¦ 50K Β· π 1.4K - 13% open Β· β±οΈ 03.11.2024):
```
git clone https://github.com/ranaroussi/yfinance
```
-- [PyPi](https://pypi.org/project/yfinance) (π₯ 2.6M / month Β· π¦ 670 Β· β±οΈ 25.10.2024):
+- [PyPi](https://pypi.org/project/yfinance) (π₯ 2.9M / month Β· π¦ 670 Β· β±οΈ 25.10.2024):
```
pip install yfinance
```
@@ -3546,9 +3509,25 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
conda install -c ranaroussi yfinance
```
bt (π₯31 Β· β 2.3K) - bt - flexible backtesting for Python. MIT
+ta (π₯30 Β· β 4.3K Β· π€) - Technical Analysis Library using Pandas and Numpy. MIT
+
+- [GitHub](https://github.com/bukosabino/ta) (π¨βπ» 34 Β· π 900 Β· π¦ 4.4K Β· π 240 - 57% open Β· β±οΈ 02.11.2023):
+
+ ```
+ git clone https://github.com/bukosabino/ta
+ ```
+- [PyPi](https://pypi.org/project/ta) (π₯ 150K / month Β· π¦ 110 Β· β±οΈ 02.11.2023):
+ ```
+ pip install ta
+ ```
+- [Conda](https://anaconda.org/conda-forge/ta) (π₯ 30K Β· β±οΈ 02.11.2023):
+ ```
+ conda install -c conda-forge ta
+ ```
+bt (π₯30 Β· β 2.3K) - bt - flexible backtesting for Python. MIT
-- [GitHub](https://github.com/pmorissette/bt) (π¨βπ» 34 Β· π 430 Β· π¦ 1.6K Β· π 340 - 22% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/pmorissette/bt) (π¨βπ» 34 Β· π 430 Β· π¦ 1.6K Β· π 340 - 22% open Β· β±οΈ 01.11.2024):
```
git clone https://github.com/pmorissette/bt
@@ -3557,47 +3536,47 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
pip install bt
```
-- [Conda](https://anaconda.org/conda-forge/bt) (π₯ 49K Β· β±οΈ 21.09.2024):
+- [Conda](https://anaconda.org/conda-forge/bt) (π₯ 50K Β· β±οΈ 21.09.2024):
```
conda install -c conda-forge bt
```
Qlib (π₯30 Β· β 15K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT
+Qlib (π₯29 Β· β 15K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT
- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 130 Β· π 2.6K Β· π₯ 730 Β· π¦ 21 Β· π 930 - 25% open Β· β±οΈ 12.09.2024):
```
git clone https://github.com/microsoft/qlib
```
-- [PyPi](https://pypi.org/project/pyqlib) (π₯ 7.2K / month Β· π¦ 1 Β· β±οΈ 24.05.2024):
+- [PyPi](https://pypi.org/project/pyqlib) (π₯ 6.2K / month Β· π¦ 1 Β· β±οΈ 24.05.2024):
```
pip install pyqlib
```
ta (π₯29 Β· β 4.3K Β· π€) - Technical Analysis Library using Pandas and Numpy. MIT
+ffn (π₯28 Β· β 2K) - ffn - a financial function library for Python. MIT
-- [GitHub](https://github.com/bukosabino/ta) (π¨βπ» 34 Β· π 900 Β· π¦ 4.3K Β· π 240 - 57% open Β· β±οΈ 02.11.2023):
+- [GitHub](https://github.com/pmorissette/ffn) (π¨βπ» 35 Β· π 300 Β· π¦ 500 Β· π 130 - 16% open Β· β±οΈ 02.11.2024):
```
- git clone https://github.com/bukosabino/ta
+ git clone https://github.com/pmorissette/ffn
```
-- [PyPi](https://pypi.org/project/ta) (π₯ 150K / month Β· π¦ 110 Β· β±οΈ 02.11.2023):
+- [PyPi](https://pypi.org/project/ffn) (π₯ 17K / month Β· π¦ 18 Β· β±οΈ 02.11.2024):
```
- pip install ta
+ pip install ffn
```
-- [Conda](https://anaconda.org/conda-forge/ta) (π₯ 30K Β· β±οΈ 02.11.2023):
+- [Conda](https://anaconda.org/conda-forge/ffn) (π₯ 13K Β· β±οΈ 03.11.2024):
```
- conda install -c conda-forge ta
+ conda install -c conda-forge ffn
```
Alpha Vantage (π₯28 Β· β 4.3K) - A python wrapper for Alpha Vantage API for financial data. MIT
+Alpha Vantage (π₯27 Β· β 4.3K) - A python wrapper for Alpha Vantage API for financial data. MIT
- [GitHub](https://github.com/RomelTorres/alpha_vantage) (π¨βπ» 44 Β· π 740 Β· π 290 - 0% open Β· β±οΈ 18.07.2024):
```
git clone https://github.com/RomelTorres/alpha_vantage
```
-- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 48K / month Β· π¦ 35 Β· β±οΈ 18.07.2024):
+- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 54K / month Β· π¦ 35 Β· β±οΈ 18.07.2024):
```
pip install alpha_vantage
```
@@ -3606,41 +3585,25 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
conda install -c conda-forge alpha_vantage
```
ffn (π₯28 Β· β 2K) - ffn - a financial function library for Python. MIT
-
-- [GitHub](https://github.com/pmorissette/ffn) (π¨βπ» 35 Β· π 290 Β· π¦ 500 Β· π 130 - 17% open Β· β±οΈ 01.10.2024):
-
- ```
- git clone https://github.com/pmorissette/ffn
- ```
-- [PyPi](https://pypi.org/project/ffn) (π₯ 17K / month Β· π¦ 18 Β· β±οΈ 05.08.2024):
- ```
- pip install ffn
- ```
-- [Conda](https://anaconda.org/conda-forge/ffn) (π₯ 13K Β· β±οΈ 06.08.2024):
- ```
- conda install -c conda-forge ffn
- ```
-IB-insync (π₯27 Β· β 2.8K Β· π€) - Python sync/async framework for Interactive Brokers API. BSD-2
+IB-insync (π₯27 Β· β 2.8K Β· π€) - Python sync/async framework for Interactive Brokers API. BSD-2
- [GitHub](https://github.com/erdewit/ib_insync) (π¨βπ» 36 Β· π 760 Β· π 590 - 3% open Β· β±οΈ 14.03.2024):
```
git clone https://github.com/erdewit/ib_insync
```
-- [PyPi](https://pypi.org/project/ib_insync) (π₯ 44K / month Β· π¦ 44 Β· β±οΈ 21.11.2022):
+- [PyPi](https://pypi.org/project/ib_insync) (π₯ 48K / month Β· π¦ 44 Β· β±οΈ 21.11.2022):
```
pip install ib_insync
```
-- [Conda](https://anaconda.org/conda-forge/ib-insync) (π₯ 48K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ib-insync) (π₯ 49K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge ib-insync
```
TensorTrade (π₯26 Β· β 4.5K) - An open source reinforcement learning framework for training,.. Apache-2
+TensorTrade (π₯26 Β· β 4.6K) - An open source reinforcement learning framework for training,.. Apache-2
-- [GitHub](https://github.com/tensortrade-org/tensortrade) (π¨βπ» 61 Β· π 1K Β· π¦ 65 Β· π 260 - 20% open Β· β±οΈ 09.06.2024):
+- [GitHub](https://github.com/tensortrade-org/tensortrade) (π¨βπ» 61 Β· π 1K Β· π¦ 66 Β· π 260 - 20% open Β· β±οΈ 09.06.2024):
```
git clone https://github.com/tensortrade-org/tensortrade
@@ -3661,38 +3624,49 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/jealous/stockstats
```
-- [PyPi](https://pypi.org/project/stockstats) (π₯ 9.4K / month Β· π¦ 11 Β· β±οΈ 30.07.2023):
+- [PyPi](https://pypi.org/project/stockstats) (π₯ 9.1K / month Β· π¦ 11 Β· β±οΈ 30.07.2023):
```
pip install stockstats
```
finmarketpy (π₯23 Β· β 3.4K) - Python library for backtesting trading strategies & analyzing.. Apache-2
+tf-quant-finance (π₯22 Β· β 4.5K) - High-performance TensorFlow library for quantitative.. Apache-2
-- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 14 Β· π 490 Β· π₯ 56 Β· π¦ 16 Β· π 28 - 85% open Β· β±οΈ 19.05.2024):
+- [GitHub](https://github.com/google/tf-quant-finance) (π¨βπ» 47 Β· π 570 Β· π 63 - 55% open Β· β±οΈ 06.11.2024):
+
+ ```
+ git clone https://github.com/google/tf-quant-finance
+ ```
+- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 1.3K / month Β· π¦ 3 Β· β±οΈ 19.08.2022):
+ ```
+ pip install tf-quant-finance
+ ```
+finmarketpy (π₯22 Β· β 3.5K) - Python library for backtesting trading strategies & analyzing.. Apache-2
+
+- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 14 Β· π 490 Β· π₯ 57 Β· π¦ 16 Β· π 28 - 85% open Β· β±οΈ 19.05.2024):
```
git clone https://github.com/cuemacro/finmarketpy
```
-- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 1.5K / month Β· β±οΈ 19.05.2024):
+- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 1.2K / month Β· β±οΈ 19.05.2024):
```
pip install finmarketpy
```
Show 15 hidden projects...
+Show 14 hidden projects...
- zipline (π₯32 Β· β 18K Β· π) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
- arch (π₯32 Β· β 1.3K) - ARCH models in Python. βUnlicensed
-- pyfolio (π₯30 Β· β 5.7K Β· π) - Portfolio and risk analytics in Python. Apache-2
-- backtrader (π₯29 Β· β 15K Β· π) - Python Backtesting library for trading strategies. βοΈGPL-3.0
-- Alphalens (π₯27 Β· β 3.3K Β· π) - Performance analysis of predictive (alpha) stock factors. Apache-2
-- Enigma Catalyst (π₯27 Β· β 2.5K Β· π) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
-- empyrical (π₯27 Β· β 1.3K Β· π) - Common financial risk and performance metrics. Used by.. Apache-2
+- pyfolio (π₯31 Β· β 5.7K Β· π) - Portfolio and risk analytics in Python. Apache-2
+- backtrader (π₯28 Β· β 15K Β· π) - Python Backtesting library for trading strategies. βοΈGPL-3.0
+- Alphalens (π₯27 Β· β 3.4K Β· π) - Performance analysis of predictive (alpha) stock factors. Apache-2
+- Enigma Catalyst (π₯27 Β· β 2.5K Β· π) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
+- empyrical (π₯27 Β· β 1.3K Β· π) - Common financial risk and performance metrics. Used by.. Apache-2
- PyAlgoTrade (π₯24 Β· β 4.4K Β· π) - Python Algorithmic Trading Library. Apache-2
- FinTA (π₯24 Β· β 2.1K Β· π) - Common financial technical indicators implemented in Pandas. βοΈLGPL-3.0
-- Backtesting.py (π₯23 Β· β 5.5K Β· π) - Backtest trading strategies in Python. βοΈAGPL-3.0
- FinQuant (π₯23 Β· β 1.4K Β· π) - A program for financial portfolio management, analysis and.. MIT
+- Backtesting.py (π₯22 Β· β 5.5K Β· π) - Backtest trading strategies in Python. βοΈAGPL-3.0
- Crypto Signals (π₯22 Β· β 4.9K Β· π) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT
-- tf-quant-finance (π₯22 Β· β 4.5K Β· π) - High-performance TensorFlow library for quantitative.. Apache-2 βοΈGPL-3.0
- pyrtfolio (π₯9 Β· β 150 Β· π) - Python package to generate stock portfolios. βοΈGPL-3.0
sktime (π₯39 Β· β 7.9K) - A unified framework for machine learning with time series. BSD-3
-- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 410 Β· π 1.4K Β· π₯ 100 Β· π¦ 3.4K Β· π 2.6K - 37% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 410 Β· π 1.4K Β· π₯ 100 Β· π¦ 3.5K Β· π 2.6K - 37% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/alan-turing-institute/sktime
```
-- [PyPi](https://pypi.org/project/sktime) (π₯ 780K / month Β· π¦ 130 Β· β±οΈ 19.10.2024):
+- [PyPi](https://pypi.org/project/sktime) (π₯ 800K / month Β· π¦ 130 Β· β±οΈ 19.10.2024):
```
pip install sktime
```
@@ -3727,7 +3701,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/facebook/prophet
```
-- [PyPi](https://pypi.org/project/fbprophet) (π₯ 210K / month Β· π¦ 91 Β· β±οΈ 05.09.2020):
+- [PyPi](https://pypi.org/project/fbprophet) (π₯ 200K / month Β· π¦ 91 Β· β±οΈ 05.09.2020):
```
pip install fbprophet
```
@@ -3736,14 +3710,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge prophet
```
StatsForecast (π₯34 Β· β 3.9K) - Lightning fast forecasting with statistical and econometric.. Apache-2
+StatsForecast (π₯34 Β· β 4K) - Lightning fast forecasting with statistical and econometric.. Apache-2
-- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 46 Β· π 280 Β· π¦ 1.2K Β· π 340 - 29% open Β· β±οΈ 28.10.2024):
+- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 47 Β· π 280 Β· π¦ 1.2K Β· π 340 - 29% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/Nixtla/statsforecast
```
-- [PyPi](https://pypi.org/project/statsforecast) (π₯ 730K / month Β· π¦ 57 Β· β±οΈ 19.09.2024):
+- [PyPi](https://pypi.org/project/statsforecast) (π₯ 750K / month Β· π¦ 57 Β· β±οΈ 19.09.2024):
```
pip install statsforecast
```
@@ -3754,12 +3728,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
pytorch-forecasting (π₯32 Β· β 4K) - Time series forecasting with PyTorch. MIT
-- [GitHub](https://github.com/sktime/pytorch-forecasting) (π¨βπ» 55 Β· π 620 Β· π¦ 440 Β· π 780 - 60% open Β· β±οΈ 26.10.2024):
+- [GitHub](https://github.com/sktime/pytorch-forecasting) (π¨βπ» 55 Β· π 620 Β· π¦ 440 Β· π 780 - 60% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/jdb78/pytorch-forecasting
```
-- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 52K / month Β· π¦ 22 Β· β±οΈ 09.09.2024):
+- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 53K / month Β· π¦ 22 Β· β±οΈ 09.09.2024):
```
pip install pytorch-forecasting
```
@@ -3770,12 +3744,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
STUMPY (π₯32 Β· β 3.7K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
-- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 41 Β· π 320 Β· π¦ 920 Β· π 520 - 12% open Β· β±οΈ 14.10.2024):
+- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 41 Β· π 320 Β· π¦ 920 Β· π 520 - 12% open Β· β±οΈ 03.11.2024):
```
git clone https://github.com/TDAmeritrade/stumpy
```
-- [PyPi](https://pypi.org/project/stumpy) (π₯ 250K / month Β· π¦ 30 Β· β±οΈ 09.07.2024):
+- [PyPi](https://pypi.org/project/stumpy) (π₯ 230K / month Β· π¦ 30 Β· β±οΈ 09.07.2024):
```
pip install stumpy
```
@@ -3786,16 +3760,16 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
NeuralForecast (π₯32 Β· β 3.1K) - Scalable and user friendly neural forecasting algorithms. Apache-2
-- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 48 Β· π 350 Β· π¦ 240 Β· π 560 - 20% open Β· β±οΈ 28.10.2024):
+- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 48 Β· π 350 Β· π¦ 240 Β· π 560 - 20% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/Nixtla/neuralforecast
```
-- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 67K / month Β· π¦ 17 Β· β±οΈ 20.09.2024):
+- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 63K / month Β· π¦ 17 Β· β±οΈ 20.09.2024):
```
pip install neuralforecast
```
-- [Conda](https://anaconda.org/conda-forge/neuralforecast) (π₯ 24K Β· β±οΈ 20.09.2024):
+- [Conda](https://anaconda.org/conda-forge/neuralforecast) (π₯ 25K Β· β±οΈ 20.09.2024):
```
conda install -c conda-forge neuralforecast
```
@@ -3807,7 +3781,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/blue-yonder/tsfresh
```
-- [PyPi](https://pypi.org/project/tsfresh) (π₯ 220K / month Β· π¦ 93 Β· β±οΈ 03.08.2024):
+- [PyPi](https://pypi.org/project/tsfresh) (π₯ 210K / month Β· π¦ 93 Β· β±οΈ 03.08.2024):
```
pip install tsfresh
```
@@ -3816,14 +3790,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge tsfresh
```
Darts (π₯31 Β· β 8K) - A python library for user-friendly forecasting and anomaly detection on.. Apache-2
+Darts (π₯31 Β· β 8.1K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
-- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 120 Β· π 870 Β· π 1.6K - 15% open Β· β±οΈ 27.10.2024):
+- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 120 Β· π 870 Β· π 1.6K - 15% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/unit8co/darts
```
-- [PyPi](https://pypi.org/project/u8darts) (π₯ 62K / month Β· π¦ 10 Β· β±οΈ 13.10.2024):
+- [PyPi](https://pypi.org/project/u8darts) (π₯ 59K / month Β· π¦ 10 Β· β±οΈ 13.10.2024):
```
pip install u8darts
```
@@ -3831,14 +3805,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
conda install -c conda-forge u8darts-all
```
-- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 800 Β· β±οΈ 17.04.2024):
+- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 830 Β· β±οΈ 17.04.2024):
```
docker pull unit8/darts
```
pmdarima (π₯31 Β· β 1.6K) - A statistical library designed to fill the void in Pythons time series.. MIT
-- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 23 Β· π 230 Β· π¦ 9.6K Β· π 340 - 18% open Β· β±οΈ 24.09.2024):
+- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 23 Β· π 230 Β· π¦ 9.7K Β· π 340 - 18% open Β· β±οΈ 24.09.2024):
```
git clone https://github.com/alkaline-ml/pmdarima
@@ -3852,70 +3826,70 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge pmdarima
```
tslearn (π₯30 Β· β 2.9K) - The machine learning toolkit for time series analysis in Python. BSD-2
+skforecast (π₯31 Β· β 1.1K Β· π) - Time series forecasting with machine learning models. BSD-3
-- [GitHub](https://github.com/tslearn-team/tslearn) (π¨βπ» 43 Β· π 340 Β· π¦ 1.5K Β· π 330 - 40% open Β· β±οΈ 01.07.2024):
+- [GitHub](https://github.com/skforecast/skforecast) (π¨βπ» 16 Β· π 130 Β· π¦ 350 Β· π 170 - 12% open Β· β±οΈ 01.11.2024):
```
- git clone https://github.com/tslearn-team/tslearn
- ```
-- [PyPi](https://pypi.org/project/tslearn) (π₯ 390K / month Β· π¦ 79 Β· β±οΈ 12.12.2023):
- ```
- pip install tslearn
+ git clone https://github.com/JoaquinAmatRodrigo/skforecast
```
-- [Conda](https://anaconda.org/conda-forge/tslearn) (π₯ 1.4M Β· β±οΈ 26.07.2024):
+- [PyPi](https://pypi.org/project/skforecast) (π₯ 84K / month Β· π¦ 15 Β· β±οΈ 01.08.2024):
```
- conda install -c conda-forge tslearn
+ pip install skforecast
```
GluonTS (π₯29 Β· β 4.6K) - Probabilistic time series modeling in Python. Apache-2
+GluonTS (π₯30 Β· β 4.6K) - Probabilistic time series modeling in Python. Apache-2
-- [GitHub](https://github.com/awslabs/gluonts) (π¨βπ» 120 Β· π 750 Β· π 960 - 34% open Β· β±οΈ 17.10.2024):
+- [GitHub](https://github.com/awslabs/gluonts) (π¨βπ» 120 Β· π 750 Β· π 960 - 33% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/awslabs/gluon-ts
```
-- [PyPi](https://pypi.org/project/gluonts) (π₯ 660K / month Β· π¦ 33 Β· β±οΈ 21.10.2024):
+- [PyPi](https://pypi.org/project/gluonts) (π₯ 600K / month Β· π¦ 33 Β· β±οΈ 21.10.2024):
```
pip install gluonts
```
-- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 990 Β· β±οΈ 22.12.2023):
+- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 1K Β· β±οΈ 22.12.2023):
```
conda install -c anaconda gluonts
```
NeuralProphet (π₯29 Β· β 3.9K) - NeuralProphet: A simple forecasting package. MIT
+tslearn (π₯30 Β· β 2.9K) - The machine learning toolkit for time series analysis in Python. BSD-2
-- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 56 Β· π 470 Β· π 560 - 10% open Β· β±οΈ 13.09.2024):
+- [GitHub](https://github.com/tslearn-team/tslearn) (π¨βπ» 43 Β· π 340 Β· π¦ 1.5K Β· π 330 - 40% open Β· β±οΈ 01.07.2024):
```
- git clone https://github.com/ourownstory/neural_prophet
+ git clone https://github.com/tslearn-team/tslearn
```
-- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 100K / month Β· π¦ 8 Β· β±οΈ 26.06.2024):
+- [PyPi](https://pypi.org/project/tslearn) (π₯ 400K / month Β· π¦ 79 Β· β±οΈ 12.12.2023):
```
- pip install neuralprophet
+ pip install tslearn
+ ```
+- [Conda](https://anaconda.org/conda-forge/tslearn) (π₯ 1.4M Β· β±οΈ 26.07.2024):
+ ```
+ conda install -c conda-forge tslearn
```
skforecast (π₯29 Β· β 1.1K) - Time series forecasting with machine learning models. BSD-3
+NeuralProphet (π₯29 Β· β 3.9K) - NeuralProphet: A simple forecasting package. MIT
-- [GitHub](https://github.com/skforecast/skforecast) (π¨βπ» 14 Β· π 130 Β· π¦ 340 Β· π 170 - 13% open Β· β±οΈ 13.08.2024):
+- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 56 Β· π 470 Β· π 560 - 10% open Β· β±οΈ 13.09.2024):
```
- git clone https://github.com/JoaquinAmatRodrigo/skforecast
+ git clone https://github.com/ourownstory/neural_prophet
```
-- [PyPi](https://pypi.org/project/skforecast) (π₯ 86K / month Β· π¦ 15 Β· β±οΈ 01.08.2024):
+- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 110K / month Β· π¦ 8 Β· β±οΈ 26.06.2024):
```
- pip install skforecast
+ pip install neuralprophet
```
TSFEL (π₯24 Β· β 930) - An intuitive library to extract features from time series. BSD-3
-- [GitHub](https://github.com/fraunhoferportugal/tsfel) (π¨βπ» 20 Β· π 140 Β· π¦ 160 Β· π 78 - 8% open Β· β±οΈ 17.10.2024):
+- [GitHub](https://github.com/fraunhoferportugal/tsfel) (π¨βπ» 20 Β· π 140 Β· π¦ 160 Β· π 79 - 10% open Β· β±οΈ 17.10.2024):
```
git clone https://github.com/fraunhoferportugal/tsfel
```
-- [PyPi](https://pypi.org/project/tsfel) (π₯ 14K / month Β· π¦ 7 Β· β±οΈ 12.09.2024):
+- [PyPi](https://pypi.org/project/tsfel) (π₯ 16K / month Β· π¦ 7 Β· β±οΈ 12.09.2024):
```
pip install tsfel
```
@@ -3943,7 +3917,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/wwrechard/pydlm
```
-- [PyPi](https://pypi.org/project/pydlm) (π₯ 26K / month Β· π¦ 2 Β· β±οΈ 13.08.2024):
+- [PyPi](https://pypi.org/project/pydlm) (π₯ 25K / month Β· π¦ 2 Β· β±οΈ 13.08.2024):
```
pip install pydlm
```
@@ -3955,7 +3929,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/predict-idlab/tsflex
```
-- [PyPi](https://pypi.org/project/tsflex) (π₯ 2K / month Β· π¦ 2 Β· β±οΈ 06.09.2024):
+- [PyPi](https://pypi.org/project/tsflex) (π₯ 1.8K / month Β· π¦ 2 Β· β±οΈ 06.09.2024):
```
pip install tsflex
```
@@ -3971,14 +3945,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/linkedin/greykite
```
-- [PyPi](https://pypi.org/project/greykite) (π₯ 7.8K / month Β· β±οΈ 12.01.2024):
+- [PyPi](https://pypi.org/project/greykite) (π₯ 7.5K / month Β· β±οΈ 12.01.2024):
```
pip install greykite
```
Auto TS (π₯20 Β· β 730) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
+Auto TS (π₯18 Β· β 730 Β· π) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
-- [GitHub](https://github.com/AutoViML/Auto_TS) (π¨βπ» 13 Β· π 110 Β· π 89 - 2% open Β· β±οΈ 05.05.2024):
+- [GitHub](https://github.com/AutoViML/Auto_TS) (π¨βπ» 13 Β· π 120 Β· π 89 - 2% open Β· β±οΈ 05.05.2024):
```
git clone https://github.com/AutoViML/Auto_TS
@@ -3994,9 +3968,9 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
- pyts (π₯26 Β· β 1.8K Β· π) - A Python package for time series classification. BSD-3
- PyFlux (π₯25 Β· β 2.1K Β· π) - Open source time series library for Python. BSD-3
- luminol (π₯22 Β· β 1.2K Β· π) - Anomaly Detection and Correlation library. Apache-2
-- tick (π₯22 Β· β 490 Β· π) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
- ADTK (π₯21 Β· β 1.1K Β· π) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0
- seglearn (π₯21 Β· β 570 Β· π) - Python module for machine learning time series:. BSD-3
+- tick (π₯21 Β· β 490 Β· π) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
- matrixprofile-ts (π₯19 Β· β 730 Β· π) - A Python library for detecting patterns and anomalies.. Apache-2
- atspy (π₯16 Β· β 510 Β· π) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
- tsaug (π₯14 Β· β 350 Β· π) - A Python package for time series augmentation. Apache-2
@@ -4012,12 +3986,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (π₯39 Β· β 2.7K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
-- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 380 Β· π 1.3K Β· π¦ 4.6K Β· π 4.9K - 10% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 380 Β· π 1.3K Β· π¦ 4.6K Β· π 4.9K - 10% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/mne-tools/mne-python
```
-- [PyPi](https://pypi.org/project/mne) (π₯ 160K / month Β· π¦ 390 Β· β±οΈ 19.08.2024):
+- [PyPi](https://pypi.org/project/mne) (π₯ 170K / month Β· π¦ 390 Β· β±οΈ 19.08.2024):
```
pip install mne
```
@@ -4026,78 +4000,78 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge mne
```
MONAI (π₯36 Β· β 5.8K) - AI Toolkit for Healthcare Imaging. Apache-2
+Nilearn (π₯37 Β· β 1.2K Β· π) - Machine learning for NeuroImaging in Python. BSD-3
-- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 210 Β· π 1.1K Β· π¦ 3K Β· π 3.1K - 11% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 250 Β· π 600 Β· π₯ 240 Β· π¦ 3.5K Β· π 2.1K - 13% open Β· β±οΈ 07.11.2024):
```
- git clone https://github.com/Project-MONAI/MONAI
+ git clone https://github.com/nilearn/nilearn
```
-- [PyPi](https://pypi.org/project/monai) (π₯ 160K / month Β· π¦ 120 Β· β±οΈ 16.10.2024):
+- [PyPi](https://pypi.org/project/nilearn) (π₯ 63K / month Β· π¦ 300 Β· β±οΈ 09.04.2024):
```
- pip install monai
+ pip install nilearn
```
-- [Conda](https://anaconda.org/conda-forge/monai):
+- [Conda](https://anaconda.org/conda-forge/nilearn) (π₯ 300K Β· β±οΈ 09.04.2024):
```
- conda install -c conda-forge monai
+ conda install -c conda-forge nilearn
```
Nilearn (π₯36 Β· β 1.2K) - Machine learning for NeuroImaging in Python. BSD-3
+MONAI (π₯36 Β· β 5.8K) - AI Toolkit for Healthcare Imaging. Apache-2
-- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 250 Β· π 600 Β· π₯ 240 Β· π¦ 3.5K Β· π 2.1K - 13% open Β· β±οΈ 25.10.2024):
+- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 210 Β· π 1.1K Β· π¦ 3.1K Β· π 3.1K - 11% open Β· β±οΈ 07.11.2024):
```
- git clone https://github.com/nilearn/nilearn
+ git clone https://github.com/Project-MONAI/MONAI
```
-- [PyPi](https://pypi.org/project/nilearn) (π₯ 65K / month Β· π¦ 300 Β· β±οΈ 09.04.2024):
+- [PyPi](https://pypi.org/project/monai) (π₯ 170K / month Β· π¦ 120 Β· β±οΈ 16.10.2024):
```
- pip install nilearn
+ pip install monai
```
-- [Conda](https://anaconda.org/conda-forge/nilearn) (π₯ 300K Β· β±οΈ 09.04.2024):
+- [Conda](https://anaconda.org/conda-forge/monai) (π₯ 32K Β· β±οΈ 17.10.2024):
```
- conda install -c conda-forge nilearn
+ conda install -c conda-forge monai
```
NiBabel (π₯36 Β· β 650) - Python package to access a cacophony of neuro-imaging file formats. MIT
+NIPYPE (π₯36 Β· β 750 Β· π) - Workflows and interfaces for neuroimaging packages. Apache-2
-- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 100 Β· π 260 Β· π¦ 22K Β· π 540 - 23% open Β· β±οΈ 23.10.2024):
+- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 260 Β· π 510 Β· π¦ 5.2K Β· π 1.4K - 29% open Β· β±οΈ 31.10.2024):
```
- git clone https://github.com/nipy/nibabel
+ git clone https://github.com/nipy/nipype
```
-- [PyPi](https://pypi.org/project/nibabel) (π₯ 1.2M / month Β· π¦ 1.2K Β· β±οΈ 23.10.2024):
+- [PyPi](https://pypi.org/project/nipype) (π₯ 190K / month Β· π¦ 150 Β· β±οΈ 31.10.2024):
```
- pip install nibabel
+ pip install nipype
```
-- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 790K Β· β±οΈ 23.10.2024):
+- [Conda](https://anaconda.org/conda-forge/nipype) (π₯ 710K Β· β±οΈ 22.09.2023):
```
- conda install -c conda-forge nibabel
+ conda install -c conda-forge nipype
```
NIPYPE (π₯35 Β· β 750) - Workflows and interfaces for neuroimaging packages. Apache-2
+NiBabel (π₯36 Β· β 650) - Python package to access a cacophony of neuro-imaging file formats. MIT
-- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 260 Β· π 510 Β· π¦ 5.1K Β· π 1.4K - 29% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 100 Β· π 260 Β· π¦ 23K Β· π 540 - 23% open Β· β±οΈ 23.10.2024):
```
- git clone https://github.com/nipy/nipype
+ git clone https://github.com/nipy/nibabel
```
-- [PyPi](https://pypi.org/project/nipype) (π₯ 190K / month Β· π¦ 150 Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/nibabel) (π₯ 1.1M / month Β· π¦ 1.2K Β· β±οΈ 23.10.2024):
```
- pip install nipype
+ pip install nibabel
```
-- [Conda](https://anaconda.org/conda-forge/nipype) (π₯ 700K Β· β±οΈ 22.09.2023):
+- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 790K Β· β±οΈ 23.10.2024):
```
- conda install -c conda-forge nipype
+ conda install -c conda-forge nibabel
```
Lifelines (π₯34 Β· β 2.4K Β· π) - Survival analysis in Python. MIT
+Lifelines (π₯34 Β· β 2.4K) - Survival analysis in Python. MIT
- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (π¨βπ» 120 Β· π 560 Β· π¦ 3K Β· π 980 - 27% open Β· β±οΈ 29.10.2024):
```
git clone https://github.com/CamDavidsonPilon/lifelines
```
-- [PyPi](https://pypi.org/project/lifelines) (π₯ 2.2M / month Β· π¦ 160 Β· β±οΈ 29.10.2024):
+- [PyPi](https://pypi.org/project/lifelines) (π₯ 2.3M / month Β· π¦ 160 Β· β±οΈ 29.10.2024):
```
pip install lifelines
```
@@ -4106,21 +4080,21 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge lifelines
```
Hail (π₯32 Β· β 980) - Cloud-native genomic dataframes and batch computing. MIT
+Hail (π₯33 Β· β 980) - Cloud-native genomic dataframes and batch computing. MIT
-- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 97 Β· π 240 Β· π¦ 150 Β· π 2.5K - 10% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 97 Β· π 240 Β· π¦ 150 Β· π 2.5K - 10% open Β· β±οΈ 01.11.2024):
```
git clone https://github.com/hail-is/hail
```
-- [PyPi](https://pypi.org/project/hail) (π₯ 59K / month Β· π¦ 34 Β· β±οΈ 04.10.2024):
+- [PyPi](https://pypi.org/project/hail) (π₯ 65K / month Β· π¦ 34 Β· β±οΈ 04.10.2024):
```
pip install hail
```
DeepVariant (π₯24 Β· β 3.2K Β· π€) - DeepVariant is an analysis pipeline that uses a deep.. BSD-3
-- [GitHub](https://github.com/google/deepvariant) (π¨βπ» 30 Β· π 710 Β· π₯ 4.8K Β· π 840 - 0% open Β· β±οΈ 18.03.2024):
+- [GitHub](https://github.com/google/deepvariant) (π¨βπ» 30 Β· π 720 Β· π₯ 4.8K Β· π 840 - 0% open Β· β±οΈ 18.03.2024):
```
git clone https://github.com/google/deepvariant
@@ -4137,7 +4111,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
```
git clone https://github.com/brainiak/brainiak
```
-- [PyPi](https://pypi.org/project/brainiak) (π₯ 1K / month Β· β±οΈ 15.10.2020):
+- [PyPi](https://pypi.org/project/brainiak) (π₯ 930 / month Β· β±οΈ 15.10.2020):
```
pip install brainiak
```
@@ -4148,7 +4122,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 10 hidden projects...
-- DIPY (π₯32 Β· β 710) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains.. βUnlicensed
+- DIPY (π₯32 Β· β 710) - DIPY is the paragon 3D/4D+ medical imaging library in Python... βUnlicensed
- NIPY (π₯27 Β· β 380) - Neuroimaging in Python FMRI analysis package. βUnlicensed
- NiftyNet (π₯25 Β· β 1.4K Β· π) - [unmaintained] An open-source convolutional neural.. Apache-2 βοΈGPL-3.0
@@ -4167,32 +4141,32 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
_Libraries for processing tabular and structured data._
-miceforest (π₯24 Β· β 350) - Multiple Imputation with LightGBM in Python. MIT
+pytorch_tabular (π₯23 Β· β 1.4K) - A standard framework for modelling Deep Learning Models.. MIT
-- [GitHub](https://github.com/AnotherSamWilson/miceforest) (π¨βπ» 8 Β· π 30 Β· π¦ 170 Β· π 85 - 8% open Β· β±οΈ 02.08.2024):
+- [GitHub](https://github.com/manujosephv/pytorch_tabular) (π¨βπ» 24 Β· π 140 Β· π₯ 47 Β· π 160 - 12% open Β· β±οΈ 28.10.2024):
```
- git clone https://github.com/AnotherSamWilson/miceforest
- ```
-- [PyPi](https://pypi.org/project/miceforest) (π₯ 63K / month Β· π¦ 9 Β· β±οΈ 02.08.2024):
- ```
- pip install miceforest
+ git clone https://github.com/manujosephv/pytorch_tabular
```
-- [Conda](https://anaconda.org/conda-forge/miceforest) (π₯ 16K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 3.9K / month Β· π¦ 3 Β· β±οΈ 15.01.2024):
```
- conda install -c conda-forge miceforest
+ pip install pytorch_tabular
```
pytorch_tabular (π₯23 Β· β 1.4K) - A standard framework for modelling Deep Learning Models.. MIT
+miceforest (π₯22 Β· β 350 Β· π) - Multiple Imputation with LightGBM in Python. MIT
-- [GitHub](https://github.com/manujosephv/pytorch_tabular) (π¨βπ» 24 Β· π 140 Β· π₯ 46 Β· π 160 - 12% open Β· β±οΈ 28.10.2024):
+- [GitHub](https://github.com/AnotherSamWilson/miceforest) (π¨βπ» 8 Β· π 30 Β· π¦ 170 Β· π 85 - 8% open Β· β±οΈ 02.08.2024):
```
- git clone https://github.com/manujosephv/pytorch_tabular
+ git clone https://github.com/AnotherSamWilson/miceforest
```
-- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 3.9K / month Β· π¦ 3 Β· β±οΈ 15.01.2024):
+- [PyPi](https://pypi.org/project/miceforest) (π₯ 57K / month Β· π¦ 9 Β· β±οΈ 02.08.2024):
```
- pip install pytorch_tabular
+ pip install miceforest
+ ```
+- [Conda](https://anaconda.org/conda-forge/miceforest) (π₯ 16K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge miceforest
```
upgini (π₯21 Β· β 320) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
@@ -4202,7 +4176,7 @@ _Libraries for processing tabular and structured data._
```
git clone https://github.com/upgini/upgini
```
-- [PyPi](https://pypi.org/project/upgini) (π₯ 40K / month Β· β±οΈ 21.10.2024):
+- [PyPi](https://pypi.org/project/upgini) (π₯ 37K / month Β· β±οΈ 07.11.2024):
```
pip install upgini
```
@@ -4214,7 +4188,7 @@ _Libraries for processing tabular and structured data._
```
git clone https://github.com/carefree0910/carefree-learn
```
-- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 6K / month Β· β±οΈ 09.01.2024):
+- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 6.5K / month Β· β±οΈ 09.01.2024):
```
pip install carefree-learn
```
@@ -4233,40 +4207,40 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
PaddleOCR (π₯40 Β· β 44K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 270 Β· π 7.8K Β· π₯ 560K Β· π¦ 3.5K Β· π 9.4K - 1% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 270 Β· π 7.8K Β· π₯ 610K Β· π¦ 3.6K Β· π 9.4K - 1% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/PaddlePaddle/PaddleOCR
```
-- [PyPi](https://pypi.org/project/paddleocr) (π₯ 270K / month Β· π¦ 110 Β· β±οΈ 22.10.2024):
+- [PyPi](https://pypi.org/project/paddleocr) (π₯ 290K / month Β· π¦ 110 Β· β±οΈ 22.10.2024):
```
pip install paddleocr
```
EasyOCR (π₯35 Β· β 24K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2
-- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 130 Β· π 3.1K Β· π₯ 16M Β· π¦ 9.1K Β· π 1K - 41% open Β· β±οΈ 24.09.2024):
+- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 130 Β· π 3.2K Β· π₯ 16M Β· π¦ 9.2K Β· π 1K - 42% open Β· β±οΈ 24.09.2024):
```
git clone https://github.com/JaidedAI/EasyOCR
```
-- [PyPi](https://pypi.org/project/easyocr) (π₯ 500K / month Β· π¦ 210 Β· β±οΈ 24.09.2024):
+- [PyPi](https://pypi.org/project/easyocr) (π₯ 550K / month Β· π¦ 210 Β· β±οΈ 24.09.2024):
```
pip install easyocr
```
OCRmyPDF (π₯34 Β· β 14K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
+OCRmyPDF (π₯35 Β· β 14K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
-- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 100 Β· π 1K Β· π₯ 5.5K Β· π¦ 1K Β· π 1.2K - 9% open Β· β±οΈ 28.10.2024):
+- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 100 Β· π 1K Β· π₯ 5.6K Β· π¦ 1K Β· π 1.2K - 9% open Β· β±οΈ 01.11.2024):
```
git clone https://github.com/ocrmypdf/OCRmyPDF
```
-- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 130K / month Β· π¦ 36 Β· β±οΈ 29.10.2024):
+- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 140K / month Β· π¦ 36 Β· β±οΈ 29.10.2024):
```
pip install ocrmypdf
```
-- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (π₯ 81K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (π₯ 82K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge ocrmypdf
```
@@ -4289,12 +4263,12 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
tesserocr (π₯30 Β· β 2K) - A Python wrapper for the tesseract-ocr API. MIT
-- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 30 Β· π 250 Β· π₯ 610 Β· π¦ 1.1K Β· π 280 - 18% open Β· β±οΈ 26.08.2024):
+- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 30 Β· π 250 Β· π₯ 610 Β· π¦ 1.1K Β· π 280 - 17% open Β· β±οΈ 26.08.2024):
```
git clone https://github.com/sirfz/tesserocr
```
-- [PyPi](https://pypi.org/project/tesserocr) (π₯ 98K / month Β· π¦ 36 Β· β±οΈ 26.08.2024):
+- [PyPi](https://pypi.org/project/tesserocr) (π₯ 95K / month Β· π¦ 36 Β· β±οΈ 26.08.2024):
```
pip install tesserocr
```
@@ -4303,52 +4277,41 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
conda install -c conda-forge tesserocr
```
keras-ocr (π₯27 Β· β 1.4K Β· π€) - A packaged and flexible version of the CRAFT text detector.. MIT
-
-- [GitHub](https://github.com/faustomorales/keras-ocr) (π¨βπ» 18 Β· π 330 Β· π₯ 1.7M Β· π¦ 580 Β· π 210 - 46% open Β· β±οΈ 06.11.2023):
-
- ```
- git clone https://github.com/faustomorales/keras-ocr
- ```
-- [PyPi](https://pypi.org/project/keras-ocr) (π₯ 27K / month Β· π¦ 8 Β· β±οΈ 06.11.2023):
- ```
- pip install keras-ocr
- ```
-- [Conda](https://anaconda.org/anaconda/keras-ocr) (π₯ 340 Β· β±οΈ 16.06.2023):
- ```
- conda install -c anaconda keras-ocr
- ```
-MMOCR (π₯26 Β· β 4.3K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2
+MMOCR (π₯26 Β· β 4.3K Β· π€) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2
- [GitHub](https://github.com/open-mmlab/mmocr) (π¨βπ» 90 Β· π 740 Β· π¦ 170 Β· π 930 - 20% open Β· β±οΈ 23.04.2024):
```
git clone https://github.com/open-mmlab/mmocr
```
-- [PyPi](https://pypi.org/project/mmocr) (π₯ 5K / month Β· π¦ 4 Β· β±οΈ 05.05.2022):
+- [PyPi](https://pypi.org/project/mmocr) (π₯ 4.8K / month Β· π¦ 4 Β· β±οΈ 05.05.2022):
```
pip install mmocr
```
attention-ocr (π₯22 Β· β 1.1K Β· π€) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT
+keras-ocr (π₯26 Β· β 1.4K Β· π€) - A packaged and flexible version of the CRAFT text detector.. MIT
-- [GitHub](https://github.com/emedvedev/attention-ocr) (π¨βπ» 28 Β· π 250 Β· π¦ 30 Β· π 150 - 16% open Β· β±οΈ 20.10.2023):
+- [GitHub](https://github.com/faustomorales/keras-ocr) (π¨βπ» 18 Β· π 330 Β· π₯ 1.7M Β· π¦ 580 Β· π 210 - 46% open Β· β±οΈ 06.11.2023):
```
- git clone https://github.com/emedvedev/attention-ocr
+ git clone https://github.com/faustomorales/keras-ocr
+ ```
+- [PyPi](https://pypi.org/project/keras-ocr) (π₯ 25K / month Β· π¦ 8 Β· β±οΈ 06.11.2023):
```
-- [PyPi](https://pypi.org/project/aocr) (π₯ 4K / month Β· β±οΈ 19.04.2019):
+ pip install keras-ocr
+ ```
+- [Conda](https://anaconda.org/anaconda/keras-ocr) (π₯ 340 Β· β±οΈ 16.06.2023):
```
- pip install aocr
+ conda install -c anaconda keras-ocr
```
Show 4 hidden projects...
+Show 5 hidden projects...
- calamari (π₯23 Β· β 1K) - Line based ATR Engine based on OCRopy. βοΈGPL-3.0
+- attention-ocr (π₯22 Β· β 1.1K Β· π) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT Apache-2
- doc2text (π₯20 Β· β 1.3K Β· π) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT
-- Mozart (π₯10 Β· β 610 Β· π) - An optical music recognition (OMR) system. Converts sheet.. Apache-2 Apache-2
@@ -4400,7 +4363,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (π₯45 Β· β 34K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. Apache-2
-- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 1.1K Β· π 5.7K Β· π₯ 240 Β· π¦ 19K Β· π 19K - 21% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 1.1K Β· π 5.7K Β· π₯ 240 Β· π¦ 19K Β· π 19K - 21% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/ray-project/ray
@@ -4409,14 +4372,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
pip install ray
```
-- [Conda](https://anaconda.org/conda-forge/ray-tune) (π₯ 440K Β· β±οΈ 30.10.2024):
+- [Conda](https://anaconda.org/conda-forge/ray-tune) (π₯ 450K Β· β±οΈ 30.10.2024):
```
conda install -c conda-forge ray-tune
```
dask (π₯44 Β· β 13K) - Parallel computing with task scheduling. BSD-3
-- [GitHub](https://github.com/dask/dask) (π¨βπ» 610 Β· π 1.7K Β· π¦ 66K Β· π 5.4K - 20% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/dask/dask) (π¨βπ» 610 Β· π 1.7K Β· π¦ 66K Β· π 5.4K - 20% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/dask/dask
@@ -4432,23 +4395,23 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
DeepSpeed (π₯41 Β· β 35K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2
-- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 350 Β· π 4.1K Β· π¦ 9.3K Β· π 2.9K - 37% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 350 Β· π 4.1K Β· π¦ 9.4K Β· π 2.9K - 37% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/microsoft/DeepSpeed
```
-- [PyPi](https://pypi.org/project/deepspeed) (π₯ 490K / month Β· π¦ 210 Β· β±οΈ 22.10.2024):
+- [PyPi](https://pypi.org/project/deepspeed) (π₯ 510K / month Β· π¦ 210 Β· β±οΈ 22.10.2024):
```
pip install deepspeed
```
-- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (π₯ 19K Β· β 4 Β· β±οΈ 02.09.2022):
+- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (π₯ 20K Β· β 4 Β· β±οΈ 02.09.2022):
```
docker pull deepspeed/deepspeed
```
dask.distributed (π₯40 Β· β 1.6K) - A distributed task scheduler for Dask. BSD-3
-- [GitHub](https://github.com/dask/distributed) (π¨βπ» 330 Β· π 720 Β· π¦ 37K Β· π 4K - 39% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/dask/distributed) (π¨βπ» 330 Β· π 720 Β· π¦ 37K Β· π 4K - 39% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/dask/distributed
@@ -4464,7 +4427,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
metrics (π₯36 Β· β 2.1K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 260 Β· π 400 Β· π₯ 5.7K Β· π¦ 32K Β· π 880 - 7% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 260 Β· π 400 Β· π₯ 5.7K Β· π¦ 32K Β· π 880 - 7% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/Lightning-AI/metrics
@@ -4478,33 +4441,33 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge torchmetrics
```
horovod (π₯35 Β· β 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2
+H2O-3 (π₯35 Β· β 6.9K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2
-- [GitHub](https://github.com/horovod/horovod) (π¨βπ» 170 Β· π 2.2K Β· π¦ 1.2K Β· π 2.3K - 17% open Β· β±οΈ 31.08.2024):
+- [GitHub](https://github.com/h2oai/h2o-3) (π¨βπ» 270 Β· π 2K Β· π¦ 21 Β· π 9.5K - 29% open Β· β±οΈ 01.11.2024):
```
- git clone https://github.com/horovod/horovod
+ git clone https://github.com/h2oai/h2o-3
```
-- [PyPi](https://pypi.org/project/horovod) (π₯ 100K / month Β· π¦ 33 Β· β±οΈ 12.06.2023):
+- [PyPi](https://pypi.org/project/h2o) (π₯ 280K / month Β· π¦ 49 Β· β±οΈ 02.11.2024):
```
- pip install horovod
+ pip install h2o
```
H2O-3 (π₯35 Β· β 6.9K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2
+horovod (π₯34 Β· β 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2
-- [GitHub](https://github.com/h2oai/h2o-3) (π¨βπ» 270 Β· π 2K Β· π¦ 21 Β· π 9.5K - 29% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/horovod/horovod) (π¨βπ» 170 Β· π 2.2K Β· π¦ 1.3K Β· π 2.3K - 17% open Β· β±οΈ 31.08.2024):
```
- git clone https://github.com/h2oai/h2o-3
+ git clone https://github.com/horovod/horovod
```
-- [PyPi](https://pypi.org/project/h2o) (π₯ 280K / month Β· π¦ 48 Β· β±οΈ 29.08.2024):
+- [PyPi](https://pypi.org/project/horovod) (π₯ 98K / month Β· π¦ 33 Β· β±οΈ 12.06.2023):
```
- pip install h2o
+ pip install horovod
```
BigDL (π₯34 Β· β 6.6K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2
+BigDL (π₯34 Β· β 6.7K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2
-- [GitHub](https://github.com/intel-analytics/ipex-llm) (π¨βπ» 110 Β· π 1.3K Β· π₯ 640 Β· π 2.6K - 38% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/intel-analytics/ipex-llm) (π¨βπ» 110 Β· π 1.3K Β· π₯ 640 Β· π 2.6K - 38% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/intel-analytics/BigDL
@@ -4522,22 +4485,22 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
ColossalAI (π₯33 Β· β 39K Β· π) - Making large AI models cheaper, faster and more accessible. Apache-2
+ColossalAI (π₯33 Β· β 39K) - Making large AI models cheaper, faster and more accessible. Apache-2
-- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 190 Β· π 4.3K Β· π¦ 430 Β· π 1.7K - 25% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 190 Β· π 4.3K Β· π¦ 430 Β· π 1.7K - 25% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/hpcaitech/colossalai
```
FairScale (π₯31 Β· β 3.2K) - PyTorch extensions for high performance and large scale training. BSD-3
+FairScale (π₯30 Β· β 3.2K) - PyTorch extensions for high performance and large scale training. BSD-3
-- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 75 Β· π 280 Β· π¦ 6.6K Β· π 390 - 26% open Β· β±οΈ 03.05.2024):
+- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 75 Β· π 280 Β· π¦ 6.7K Β· π 390 - 26% open Β· β±οΈ 03.05.2024):
```
git clone https://github.com/facebookresearch/fairscale
```
-- [PyPi](https://pypi.org/project/fairscale) (π₯ 410K / month Β· π¦ 150 Β· β±οΈ 11.12.2022):
+- [PyPi](https://pypi.org/project/fairscale) (π₯ 400K / month Β· π¦ 150 Β· β±οΈ 11.12.2022):
```
pip install fairscale
```
@@ -4546,18 +4509,18 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge fairscale
```
mpi4py (π₯30 Β· β 800) - Python bindings for MPI. BSD-3
+mpi4py (π₯30 Β· β 810) - Python bindings for MPI. BSD-3
-- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 27 Β· π 120 Β· π₯ 28K Β· π 180 - 4% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 27 Β· π 120 Β· π₯ 28K Β· π 190 - 4% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/mpi4py/mpi4py
```
-- [PyPi](https://pypi.org/project/mpi4py) (π₯ 490K / month Β· π¦ 750 Β· β±οΈ 11.10.2024):
+- [PyPi](https://pypi.org/project/mpi4py) (π₯ 420K / month Β· π¦ 750 Β· β±οΈ 11.10.2024):
```
pip install mpi4py
```
-- [Conda](https://anaconda.org/conda-forge/mpi4py) (π₯ 3M Β· β±οΈ 12.10.2024):
+- [Conda](https://anaconda.org/conda-forge/mpi4py) (π₯ 3.1M Β· β±οΈ 12.10.2024):
```
conda install -c conda-forge mpi4py
```
@@ -4569,7 +4532,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/microsoft/SynapseML
```
-- [PyPi](https://pypi.org/project/synapseml) (π₯ 250K / month Β· π¦ 5 Β· β±οΈ 16.10.2024):
+- [PyPi](https://pypi.org/project/synapseml) (π₯ 260K / month Β· π¦ 5 Β· β±οΈ 16.10.2024):
```
pip install synapseml
```
@@ -4581,7 +4544,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/facebookincubator/submitit
```
-- [PyPi](https://pypi.org/project/submitit) (π₯ 530K / month Β· π¦ 49 Β· β±οΈ 18.09.2024):
+- [PyPi](https://pypi.org/project/submitit) (π₯ 550K / month Β· π¦ 49 Β· β±οΈ 18.09.2024):
```
pip install submitit
```
@@ -4618,6 +4581,18 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge dask-ml
```
Hivemind (π₯25 Β· β 2K) - Decentralized deep learning in PyTorch. Built to train models on thousands.. MIT
+
+- [GitHub](https://github.com/learning-at-home/hivemind) (π¨βπ» 33 Β· π 160 Β· π¦ 110 Β· π 180 - 41% open Β· β±οΈ 05.11.2024):
+
+ ```
+ git clone https://github.com/learning-at-home/hivemind
+ ```
+- [PyPi](https://pypi.org/project/hivemind) (π₯ 3.6K / month Β· π¦ 10 Β· β±οΈ 31.08.2023):
+ ```
+ pip install hivemind
+ ```
+Apache Singa (π₯24 Β· β 3.4K) - a distributed deep learning platform. Apache-2
- [GitHub](https://github.com/apache/singa) (π¨βπ» 91 Β· π 1.2K Β· π¦ 5 Β· π 130 - 37% open Β· β±οΈ 17.08.2024):
@@ -4629,23 +4604,11 @@ _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₯ 8.2K Β· β 4 Β· β±οΈ 31.05.2022):
+- [Docker Hub](https://hub.docker.com/r/apache/singa) (π₯ 8.3K Β· β 4 Β· β±οΈ 31.05.2022):
```
docker pull apache/singa
```
Hivemind (π₯24 Β· β 2K) - Decentralized deep learning in PyTorch. Built to train models on thousands.. MIT
-
-- [GitHub](https://github.com/learning-at-home/hivemind) (π¨βπ» 32 Β· π 160 Β· π¦ 110 Β· π 180 - 41% open Β· β±οΈ 21.10.2024):
-
- ```
- git clone https://github.com/learning-at-home/hivemind
- ```
-- [PyPi](https://pypi.org/project/hivemind) (π₯ 3.9K / month Β· π¦ 10 Β· β±οΈ 31.08.2023):
- ```
- pip install hivemind
- ```
-MMLSpark (π₯23 Β· β 5.1K) - Simple and Distributed Machine Learning. MIT
- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 120 Β· π 830 Β· π 780 - 48% open Β· β±οΈ 16.10.2024):
@@ -4677,7 +4640,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/tensorflow/mesh
```
-- [PyPi](https://pypi.org/project/mesh-tensorflow) (π₯ 49K / month Β· π¦ 3 Β· β±οΈ 15.05.2022):
+- [PyPi](https://pypi.org/project/mesh-tensorflow) (π₯ 42K / month Β· π¦ 3 Β· β±οΈ 15.05.2022):
```
pip install mesh-tensorflow
```
@@ -4685,19 +4648,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Show 16 hidden projects...
- DEAP (π₯33 Β· β 5.8K) - Distributed Evolutionary Algorithms in Python. βοΈLGPL-3.0
-- ipyparallel (π₯30 Β· β 2.6K Β· π) - IPython Parallel: Interactive Parallel Computing in.. βUnlicensed βUnlicensed Apache-2 MIT keras MIT keras Apache-2
- sk-dist (π₯21 Β· β 280 Β· π) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 MIT
- launchpad (π₯19 Β· β 310 Β· π) - Launchpad is a library that simplifies writing.. Apache-2 Apache-2 Apache-2
- bluefog (π₯18 Β· β 290 Β· π) - Distributed and decentralized training framework for PyTorch.. Apache-2 Apache-2
- parallelformers (π₯17 Β· β 780 Β· π) - Parallelformers: An Efficient Model Parallelization.. Apache-2
- TensorFrames (π₯16 Β· β 720 Β· π) - Tensorflow wrapper for DataFrames on Apache Spark. Apache-2 Apache-2
+- LazyCluster (π₯15 Β· β 49 Β· π) - Distributed machine learning made simple. Apache-2
- autodist (π₯13 Β· β 130 Β· π) - Simple Distributed Deep Learning on TensorFlow. Apache-2 MIT Optuna (π₯43 Β· β 11K) - A hyperparameter optimization framework. MIT
-- [GitHub](https://github.com/optuna/optuna) (π¨βπ» 280 Β· π 1K Β· π¦ 19K Β· π 1.7K - 4% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/optuna/optuna) (π¨βπ» 280 Β· π 1K Β· π¦ 19K Β· π 1.7K - 4% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/optuna/optuna
```
-- [PyPi](https://pypi.org/project/optuna) (π₯ 3.6M / month Β· π¦ 1K Β· β±οΈ 02.09.2024):
+- [PyPi](https://pypi.org/project/optuna) (π₯ 3.7M / month Β· π¦ 1K Β· β±οΈ 02.09.2024):
```
pip install optuna
```
@@ -4725,50 +4688,50 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
conda install -c conda-forge optuna
```
Ax (π₯36 Β· β 2.4K) - Adaptive Experimentation Platform. MIT
+AutoGluon (π₯36 Β· β 8K Β· π) - Fast and Accurate ML in 3 Lines of Code. Apache-2
-- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 180 Β· π 310 Β· π¦ 830 Β· π 780 - 7% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/autogluon/autogluon) (π¨βπ» 120 Β· π 930 Β· π¦ 870 Β· π 1.5K - 25% open Β· β±οΈ 06.11.2024):
```
- git clone https://github.com/facebook/Ax
+ git clone https://github.com/autogluon/autogluon
```
-- [PyPi](https://pypi.org/project/ax-platform) (π₯ 120K / month Β· π¦ 54 Β· β±οΈ 23.09.2024):
+- [PyPi](https://pypi.org/project/autogluon) (π₯ 540K / month Β· π¦ 27 Β· β±οΈ 07.11.2024):
```
- pip install ax-platform
+ pip install autogluon
```
-- [Conda](https://anaconda.org/conda-forge/ax-platform) (π₯ 29K Β· β±οΈ 24.09.2024):
+- [Conda](https://anaconda.org/conda-forge/autogluon) (π₯ 22K Β· β±οΈ 18.10.2024):
```
- conda install -c conda-forge ax-platform
+ conda install -c conda-forge autogluon
+ ```
+- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (π₯ 11K Β· β 17 Β· β±οΈ 07.03.2024):
+ ```
+ docker pull autogluon/autogluon
```
AutoGluon (π₯35 Β· β 8K) - Fast and Accurate ML in 3 Lines of Code. Apache-2
+Ax (π₯36 Β· β 2.4K) - Adaptive Experimentation Platform. MIT
-- [GitHub](https://github.com/autogluon/autogluon) (π¨βπ» 120 Β· π 920 Β· π¦ 860 Β· π 1.5K - 25% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 180 Β· π 310 Β· π¦ 840 Β· π 780 - 7% open Β· β±οΈ 07.11.2024):
```
- git clone https://github.com/autogluon/autogluon
- ```
-- [PyPi](https://pypi.org/project/autogluon) (π₯ 550K / month Β· π¦ 27 Β· β±οΈ 31.10.2024):
- ```
- pip install autogluon
+ git clone https://github.com/facebook/Ax
```
-- [Conda](https://anaconda.org/conda-forge/autogluon) (π₯ 21K Β· β±οΈ 18.10.2024):
+- [PyPi](https://pypi.org/project/ax-platform) (π₯ 110K / month Β· π¦ 54 Β· β±οΈ 23.09.2024):
```
- conda install -c conda-forge autogluon
+ pip install ax-platform
```
-- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (π₯ 11K Β· β 17 Β· β±οΈ 07.03.2024):
+- [Conda](https://anaconda.org/conda-forge/ax-platform) (π₯ 29K Β· β±οΈ 24.09.2024):
```
- docker pull autogluon/autogluon
+ conda install -c conda-forge ax-platform
```
BoTorch (π₯34 Β· β 3.1K) - Bayesian optimization in PyTorch. MIT
-- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 130 Β· π 390 Β· π¦ 1.2K Β· π 540 - 12% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 130 Β· π 390 Β· π¦ 1.2K Β· π 540 - 12% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/pytorch/botorch
```
-- [PyPi](https://pypi.org/project/botorch) (π₯ 210K / month Β· π¦ 84 Β· β±οΈ 17.09.2024):
+- [PyPi](https://pypi.org/project/botorch) (π₯ 200K / month Β· π¦ 84 Β· β±οΈ 17.09.2024):
```
pip install botorch
```
@@ -4784,51 +4747,51 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/fmfn/BayesianOptimization
```
-- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 400K / month Β· π¦ 150 Β· β±οΈ 21.10.2024):
+- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 430K / month Β· π¦ 150 Β· β±οΈ 21.10.2024):
```
pip install bayesian-optimization
```
featuretools (π₯33 Β· β 7.3K) - An open source python library for automated feature engineering. BSD-3
+Hyperopt (π₯33 Β· β 7.2K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3
-- [GitHub](https://github.com/alteryx/featuretools) (π¨βπ» 73 Β· π 870 Β· π¦ 1.8K Β· π 1K - 14% open Β· β±οΈ 21.06.2024):
+- [GitHub](https://github.com/hyperopt/hyperopt) (π¨βπ» 100 Β· π 1.1K Β· π¦ 18K Β· π 670 - 21% open Β· β±οΈ 25.09.2024):
```
- git clone https://github.com/alteryx/featuretools
+ git clone https://github.com/hyperopt/hyperopt
```
-- [PyPi](https://pypi.org/project/featuretools) (π₯ 100K / month Β· π¦ 74 Β· β±οΈ 14.05.2024):
+- [PyPi](https://pypi.org/project/hyperopt) (π₯ 2.2M / month Β· π¦ 450 Β· β±οΈ 17.11.2021):
```
- pip install featuretools
+ pip install hyperopt
```
-- [Conda](https://anaconda.org/conda-forge/featuretools) (π₯ 210K Β· β±οΈ 15.05.2024):
+- [Conda](https://anaconda.org/conda-forge/hyperopt) (π₯ 800K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge featuretools
+ conda install -c conda-forge hyperopt
```
Hyperopt (π₯33 Β· β 7.2K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3
+featuretools (π₯32 Β· β 7.3K) - An open source python library for automated feature engineering. BSD-3
-- [GitHub](https://github.com/hyperopt/hyperopt) (π¨βπ» 100 Β· π 1.1K Β· π¦ 17K Β· π 670 - 21% open Β· β±οΈ 25.09.2024):
+- [GitHub](https://github.com/alteryx/featuretools) (π¨βπ» 73 Β· π 870 Β· π¦ 1.8K Β· π 1K - 14% open Β· β±οΈ 21.06.2024):
```
- git clone https://github.com/hyperopt/hyperopt
+ git clone https://github.com/alteryx/featuretools
```
-- [PyPi](https://pypi.org/project/hyperopt) (π₯ 2.2M / month Β· π¦ 450 Β· β±οΈ 17.11.2021):
+- [PyPi](https://pypi.org/project/featuretools) (π₯ 98K / month Β· π¦ 74 Β· β±οΈ 14.05.2024):
```
- pip install hyperopt
+ pip install featuretools
```
-- [Conda](https://anaconda.org/conda-forge/hyperopt) (π₯ 800K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/featuretools) (π₯ 210K Β· β±οΈ 15.05.2024):
```
- conda install -c conda-forge hyperopt
+ conda install -c conda-forge featuretools
```
nevergrad (π₯32 Β· β 4K) - A Python toolbox for performing gradient-free optimization. MIT
-- [GitHub](https://github.com/facebookresearch/nevergrad) (π¨βπ» 57 Β· π 350 Β· π¦ 770 Β· π 300 - 39% open Β· β±οΈ 12.10.2024):
+- [GitHub](https://github.com/facebookresearch/nevergrad) (π¨βπ» 57 Β· π 350 Β· π¦ 780 Β· π 300 - 39% open Β· β±οΈ 12.10.2024):
```
git clone https://github.com/facebookresearch/nevergrad
```
-- [PyPi](https://pypi.org/project/nevergrad) (π₯ 93K / month Β· π¦ 58 Β· β±οΈ 25.09.2024):
+- [PyPi](https://pypi.org/project/nevergrad) (π₯ 130K / month Β· π¦ 58 Β· β±οΈ 25.09.2024):
```
pip install nevergrad
```
@@ -4837,26 +4800,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
conda install -c conda-forge nevergrad
```
NNI (π₯31 Β· β 14K Β· π€) - 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¦ 21 Β· π 2.1K - 19% open Β· β±οΈ 26.10.2023):
-
- ```
- git clone https://github.com/microsoft/nni
- ```
-- [PyPi](https://pypi.org/project/nni) (π₯ 18K / month Β· π¦ 47 Β· β±οΈ 14.09.2023):
- ```
- pip install nni
- ```
-AutoKeras (π₯31 Β· β 9.1K) - AutoML library for deep learning. Apache-2
-- [GitHub](https://github.com/keras-team/autokeras) (π¨βπ» 140 Β· π 1.4K Β· π₯ 19K Β· π¦ 750 Β· π 900 - 15% open Β· β±οΈ 17.10.2024):
+- [GitHub](https://github.com/keras-team/autokeras) (π¨βπ» 140 Β· π 1.4K Β· π₯ 19K Β· π¦ 760 Β· π 900 - 15% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/keras-team/autokeras
```
-- [PyPi](https://pypi.org/project/autokeras) (π₯ 30K / month Β· π¦ 13 Β· β±οΈ 20.03.2024):
+- [PyPi](https://pypi.org/project/autokeras) (π₯ 31K / month Β· π¦ 13 Β· β±οΈ 20.03.2024):
```
pip install autokeras
```
@@ -4868,7 +4819,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/keras-team/keras-tuner
```
-- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 330K / month Β· π¦ 120 Β· β±οΈ 04.03.2024):
+- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 490K / month Β· π¦ 120 Β· β±οΈ 04.03.2024):
```
pip install keras-tuner
```
@@ -4879,12 +4830,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
mljar-supervised (π₯30 Β· β 3K) - Python package for AutoML on Tabular Data with Feature.. MIT
-- [GitHub](https://github.com/mljar/mljar-supervised) (π¨βπ» 29 Β· π 400 Β· π¦ 130 Β· π 660 - 21% open Β· β±οΈ 14.10.2024):
+- [GitHub](https://github.com/mljar/mljar-supervised) (π¨βπ» 29 Β· π 410 Β· π¦ 130 Β· π 660 - 21% open Β· β±οΈ 14.10.2024):
```
git clone https://github.com/mljar/mljar-supervised
```
-- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 8.6K / month Β· π¦ 4 Β· β±οΈ 09.10.2024):
+- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 9.1K / month Β· π¦ 4 Β· β±οΈ 09.10.2024):
```
pip install mljar-supervised
```
@@ -4893,14 +4844,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
conda install -c conda-forge mljar-supervised
```
lazypredict (π₯26 Β· β 3K) - Lazy Predict help build a lot of basic models without much code.. MIT
+lazypredict (π₯30 Β· β 3K Β· π) - Lazy Predict help build a lot of basic models without much.. MIT
-- [GitHub](https://github.com/shankarpandala/lazypredict) (π¨βπ» 18 Β· π 340 Β· π¦ 1.1K Β· π 120 - 67% open Β· β±οΈ 02.06.2024):
+- [GitHub](https://github.com/shankarpandala/lazypredict) (π¨βπ» 18 Β· π 340 Β· π¦ 1.1K Β· π 130 - 70% open Β· β±οΈ 03.11.2024):
```
git clone https://github.com/shankarpandala/lazypredict
```
-- [PyPi](https://pypi.org/project/lazypredict) (π₯ 17K / month Β· π¦ 1 Β· β±οΈ 28.09.2022):
+- [PyPi](https://pypi.org/project/lazypredict) (π₯ 16K / month Β· π¦ 6 Β· β±οΈ 02.11.2024):
```
pip install lazypredict
```
@@ -4909,54 +4860,42 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
conda install -c conda-forge lazypredict
```
Talos (π₯25 Β· β 1.6K) - Hyperparameter Experiments with TensorFlow and Keras. MIT
+Talos (π₯25 Β· β 1.6K Β· π€) - Hyperparameter Experiments with TensorFlow and Keras. MIT
- [GitHub](https://github.com/autonomio/talos) (π¨βπ» 23 Β· π 270 Β· π¦ 190 Β· π 400 - 2% open Β· β±οΈ 22.04.2024):
```
git clone https://github.com/autonomio/talos
```
-- [PyPi](https://pypi.org/project/talos) (π₯ 2.8K / month Β· π¦ 8 Β· β±οΈ 21.04.2024):
+- [PyPi](https://pypi.org/project/talos) (π₯ 2.5K / month Β· π¦ 8 Β· β±οΈ 21.04.2024):
```
pip install talos
```
FEDOT (π₯25 Β· β 640) - Automated modeling and machine learning framework FEDOT. BSD-3
-- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 35 Β· π 88 Β· π¦ 55 Β· π 550 - 11% open Β· β±οΈ 17.10.2024):
+- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 36 Β· π 88 Β· π¦ 55 Β· π 550 - 11% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/nccr-itmo/FEDOT
```
-- [PyPi](https://pypi.org/project/fedot) (π₯ 3K / month Β· π¦ 5 Β· β±οΈ 28.08.2024):
+- [PyPi](https://pypi.org/project/fedot) (π₯ 2.7K / month Β· π¦ 5 Β· β±οΈ 28.08.2024):
```
pip install fedot
```
Hyperactive (π₯25 Β· β 510) - An optimization and data collection toolbox for convenient and fast.. MIT
-- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 9 Β· π 42 Β· π₯ 260 Β· π¦ 36 Β· π 77 - 19% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 9 Β· π 42 Β· π₯ 260 Β· π¦ 36 Β· π 77 - 18% open Β· β±οΈ 30.10.2024):
```
git clone https://github.com/SimonBlanke/Hyperactive
```
-- [PyPi](https://pypi.org/project/hyperactive) (π₯ 5.1K / month Β· π¦ 13 Β· β±οΈ 15.08.2024):
+- [PyPi](https://pypi.org/project/hyperactive) (π₯ 4.5K / month Β· π¦ 13 Β· β±οΈ 15.08.2024):
```
pip install hyperactive
```
Auto ViML (π₯22 Β· β 520) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2
-
-- [GitHub](https://github.com/AutoViML/Auto_ViML) (π¨βπ» 9 Β· π 100 Β· π¦ 27 Β· π 34 - 2% open Β· β±οΈ 11.05.2024):
-
- ```
- git clone https://github.com/AutoViML/Auto_ViML
- ```
-- [PyPi](https://pypi.org/project/autoviml) (π₯ 40K / month Β· π¦ 3 Β· β±οΈ 11.05.2024):
- ```
- pip install autoviml
- ```
-AlphaPy (π₯21 Β· β 1.2K Β· π€) - Python AutoML for Trading Systems and Sports Betting. Apache-2
- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (π¨βπ» 5 Β· π 200 Β· π¦ 6 Β· π 42 - 30% open Β· β±οΈ 10.02.2024):
@@ -4964,23 +4903,35 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/ScottfreeLLC/AlphaPy
```
-- [PyPi](https://pypi.org/project/alphapy) (π₯ 7.7K / month Β· β±οΈ 29.08.2020):
+- [PyPi](https://pypi.org/project/alphapy) (π₯ 7.8K / month Β· β±οΈ 29.08.2020):
```
pip install alphapy
```
featurewiz (π₯21 Β· β 590) - Use advanced feature engineering strategies and select best.. Apache-2
-- [GitHub](https://github.com/AutoViML/featurewiz) (π¨βπ» 18 Β· π 87 Β· π¦ 74 Β· π 96 - 4% open Β· β±οΈ 02.05.2024):
+- [GitHub](https://github.com/AutoViML/featurewiz) (π¨βπ» 18 Β· π 87 Β· π¦ 76 Β· π 99 - 7% open Β· β±οΈ 02.05.2024):
```
git clone https://github.com/AutoViML/featurewiz
```
-- [PyPi](https://pypi.org/project/featurewiz) (π₯ 48K / month Β· π¦ 2 Β· β±οΈ 10.02.2024):
+- [PyPi](https://pypi.org/project/featurewiz) (π₯ 47K / month Β· π¦ 2 Β· β±οΈ 10.02.2024):
```
pip install featurewiz
```
Auto ViML (π₯21 Β· β 520) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2
+
+- [GitHub](https://github.com/AutoViML/Auto_ViML) (π¨βπ» 9 Β· π 100 Β· π¦ 27 Β· π 34 - 2% open Β· β±οΈ 11.05.2024):
+
+ ```
+ git clone https://github.com/AutoViML/Auto_ViML
+ ```
+- [PyPi](https://pypi.org/project/autoviml) (π₯ 40K / month Β· π¦ 3 Β· β±οΈ 11.05.2024):
+ ```
+ pip install autoviml
+ ```
+opytimizer (π₯20 Β· β 600) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2
- [GitHub](https://github.com/gugarosa/opytimizer) (π¨βπ» 4 Β· π 41 Β· π¦ 19 Β· β±οΈ 18.08.2024):
@@ -4993,21 +4944,22 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
pip install opytimizer
```
shap-hypetune (π₯18 Β· β 560 Β· π€) - A python package for simultaneous Hyperparameters Tuning and.. MIT
+shap-hypetune (π₯18 Β· β 570 Β· π€) - A python package for simultaneous Hyperparameters Tuning and.. MIT
- [GitHub](https://github.com/cerlymarco/shap-hypetune) (π¨βπ» 3 Β· π 69 Β· π¦ 20 Β· π 36 - 11% open Β· β±οΈ 21.02.2024):
```
git clone https://github.com/cerlymarco/shap-hypetune
```
-- [PyPi](https://pypi.org/project/shap-hypetune) (π₯ 3.3K / month Β· π¦ 2 Β· β±οΈ 21.02.2024):
+- [PyPi](https://pypi.org/project/shap-hypetune) (π₯ 2.9K / month Β· π¦ 2 Β· β±οΈ 21.02.2024):
```
pip install shap-hypetune
```
Show 31 hidden projects...
+Show 32 hidden projects...
- scikit-optimize (π₯33 Β· β 2.7K Β· π) - Sequential model-based optimization with a.. BSD-3
+- NNI (π₯31 Β· β 14K Β· π) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT
- TPOT (π₯31 Β· β 9.7K Β· π€) - A Python Automated Machine Learning tool that optimizes.. βοΈLGPL-3.0 BSD-3 MIT BSD-3
- AdaNet (π₯25 Β· β 3.5K Β· π) - Fast and flexible AutoML with learning guarantees. Apache-2 MIT
-- lightwood (π₯24 Β· β 440) - Lightwood is Legos for Machine Learning. βοΈGPL-3.0 βοΈGPL-3.0 BSD-3
- MLBox (π₯22 Β· β 1.5K Β· π) - MLBox is a powerful Automated Machine Learning python library. βοΈBSD-1-Clause
- HpBandSter (π₯22 Β· β 610 Β· π) - a distributed Hyperband implementation on Steroids. BSD-3
@@ -5026,11 +4978,11 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
- sklearn-deap (π₯20 Β· β 770 Β· π) - Use evolutionary algorithms instead of gridsearch in.. MIT MIT
- Advisor (π₯19 Β· β 1.5K Β· π) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2
-- Dragonfly (π₯19 Β· β 850 Β· π) - An open source python library for scalable Bayesian optimisation. MIT
+- Dragonfly (π₯19 Β· β 860 Β· π) - An open source python library for scalable Bayesian optimisation. MIT
- Sherpa (π₯19 Β· β 330 Β· π) - Hyperparameter optimization that enables researchers to.. βοΈGPL-3.0
- Xcessiv (π₯18 Β· β 1.3K Β· π) - A web-based application for quick, scalable, and automated.. Apache-2
-- HyperparameterHunter (π₯18 Β· β 710 Β· π) - Easy hyperparameter optimization and automatic result.. MIT
- automl-gs (π₯17 Β· β 1.8K Β· π) - Provide an input CSV and a target field to predict, generate a.. MIT
+- HyperparameterHunter (π₯17 Β· β 710 Β· π) - Easy hyperparameter optimization and automatic result.. MIT
- Parfit (π₯15 Β· β 200 Β· π) - A package for parallelizing the fit and flexibly scoring of.. MIT βοΈGPL-3.0
- ENAS (π₯13 Β· β 2.7K Β· π) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2
@@ -5049,12 +5001,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
FinRL (π₯31 Β· β 10K) - FinRL: Financial Reinforcement Learning. MIT
-- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 120 Β· π 2.4K Β· π¦ 52 Β· π 720 - 34% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 120 Β· π 2.4K Β· π¦ 52 Β· π 720 - 33% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/AI4Finance-Foundation/FinRL
```
-- [PyPi](https://pypi.org/project/finrl) (π₯ 2.1K / month Β· β±οΈ 08.01.2022):
+- [PyPi](https://pypi.org/project/finrl) (π₯ 2K / month Β· β±οΈ 08.01.2022):
```
pip install finrl
```
@@ -5066,7 +5018,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/mwydmuch/ViZDoom
```
-- [PyPi](https://pypi.org/project/vizdoom) (π₯ 6.2K / month Β· π¦ 15 Β· β±οΈ 20.08.2024):
+- [PyPi](https://pypi.org/project/vizdoom) (π₯ 5.9K / month Β· π¦ 15 Β· β±οΈ 20.08.2024):
```
pip install vizdoom
```
@@ -5078,14 +5030,14 @@ _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₯ 80K / month Β· π¦ 14 Β· β±οΈ 14.12.2023):
+- [PyPi](https://pypi.org/project/tf-agents) (π₯ 78K / month Β· π¦ 14 Β· β±οΈ 14.12.2023):
```
pip install tf-agents
```
Dopamine (π₯28 Β· β 11K) - 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¦ 21 Β· π 190 - 54% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/google/dopamine) (π¨βπ» 15 Β· π 1.4K Β· π¦ 21 Β· π 190 - 54% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/google/dopamine
@@ -5118,7 +5070,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/tensorforce/tensorforce
```
-- [PyPi](https://pypi.org/project/tensorforce) (π₯ 1.4K / month Β· π¦ 4 Β· β±οΈ 30.08.2021):
+- [PyPi](https://pypi.org/project/tensorforce) (π₯ 1.3K / month Β· π¦ 4 Β· β±οΈ 30.08.2021):
```
pip install tensorforce
```
@@ -5130,48 +5082,48 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/PaddlePaddle/PARL
```
-- [PyPi](https://pypi.org/project/parl) (π₯ 1.9K / month Β· π¦ 1 Β· β±οΈ 13.05.2022):
+- [PyPi](https://pypi.org/project/parl) (π₯ 1.7K / month Β· π¦ 1 Β· β±οΈ 13.05.2022):
```
pip install parl
```
RLax (π₯25 Β· β 1.3K) - A library of reinforcement learning building blocks in JAX. Apache-2
-- [GitHub](https://github.com/google-deepmind/rlax) (π¨βπ» 21 Β· π 87 Β· π¦ 280 Β· π 26 - 30% open Β· β±οΈ 24.05.2024):
+- [GitHub](https://github.com/google-deepmind/rlax) (π¨βπ» 21 Β· π 86 Β· π¦ 280 Β· π 26 - 30% open Β· β±οΈ 24.05.2024):
```
git clone https://github.com/deepmind/rlax
```
-- [PyPi](https://pypi.org/project/rlax) (π₯ 18K / month Β· π¦ 11 Β· β±οΈ 09.01.2023):
+- [PyPi](https://pypi.org/project/rlax) (π₯ 19K / month Β· π¦ 11 Β· β±οΈ 09.01.2023):
```
pip install rlax
```
ReAgent (π₯22 Β· β 3.6K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3
+PFRL (π₯22 Β· β 1.2K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT
-- [GitHub](https://github.com/facebookresearch/ReAgent) (π¨βπ» 170 Β· π 510 Β· π 160 - 53% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/pfnet/pfrl) (π¨βπ» 20 Β· π 150 Β· π¦ 120 Β· π 79 - 41% open Β· β±οΈ 04.08.2024):
```
- git clone https://github.com/facebookresearch/ReAgent
+ git clone https://github.com/pfnet/pfrl
```
-- [PyPi](https://pypi.org/project/reagent) (π₯ 71 / month Β· β±οΈ 27.05.2020):
+- [PyPi](https://pypi.org/project/pfrl) (π₯ 590 / month Β· π¦ 1 Β· β±οΈ 16.07.2023):
```
- pip install reagent
+ pip install pfrl
```
PFRL (π₯22 Β· β 1.2K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT
+ReAgent (π₯21 Β· β 3.6K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3
-- [GitHub](https://github.com/pfnet/pfrl) (π¨βπ» 20 Β· π 150 Β· π¦ 120 Β· π 79 - 41% open Β· β±οΈ 04.08.2024):
+- [GitHub](https://github.com/facebookresearch/ReAgent) (π¨βπ» 170 Β· π 510 Β· π 160 - 53% open Β· β±οΈ 29.10.2024):
```
- git clone https://github.com/pfnet/pfrl
+ git clone https://github.com/facebookresearch/ReAgent
```
-- [PyPi](https://pypi.org/project/pfrl) (π₯ 700 / month Β· π¦ 1 Β· β±οΈ 16.07.2023):
+- [PyPi](https://pypi.org/project/reagent) (π₯ 61 / month Β· β±οΈ 27.05.2020):
```
- pip install pfrl
+ pip install reagent
```
rliable (π₯14 Β· β 760) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2
+rliable (π₯13 Β· β 760) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2
- [GitHub](https://github.com/google-research/rliable) (π¨βπ» 9 Β· π 47 Β· π¦ 160 Β· π 17 - 5% open Β· β±οΈ 12.08.2024):
@@ -5186,7 +5138,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
Show 12 hidden projects...
- OpenAI Gym (π₯41 Β· β 35K Β· π) - A toolkit for developing and comparing reinforcement learning.. MIT
-- baselines (π₯30 Β· β 16K Β· π) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT
+- baselines (π₯29 Β· β 16K Β· π) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT
- keras-rl (π₯28 Β· β 5.5K Β· π) - Deep Reinforcement Learning for Keras. MIT Apache-2 MIT Recommenders (π₯34 Β· β 19K Β· π) - Best Practices on Recommendation Systems. MIT
+Recommenders (π₯33 Β· β 19K) - Best Practices on Recommendation Systems. MIT
- [GitHub](https://github.com/recommenders-team/recommenders) (π¨βπ» 140 Β· π 3.1K Β· π₯ 600 Β· π¦ 130 Β· π 870 - 18% open Β· β±οΈ 11.09.2024):
```
git clone https://github.com/microsoft/recommenders
```
-- [PyPi](https://pypi.org/project/recommenders) (π₯ 31K / month Β· π¦ 4 Β· β±οΈ 01.05.2024):
+- [PyPi](https://pypi.org/project/recommenders) (π₯ 30K / month Β· π¦ 4 Β· β±οΈ 01.05.2024):
```
pip install recommenders
```
torchrec (π₯32 Β· β 1.9K) - Pytorch domain library for recommendation systems. BSD-3
-- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 280 Β· π 420 Β· π¦ 150 Β· π 420 - 71% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 290 Β· π 420 Β· π¦ 150 Β· π 420 - 71% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/pytorch/torchrec
```
-- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (π₯ 11K / month Β· β±οΈ 12.05.2022):
+- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (π₯ 14K / month Β· β±οΈ 12.05.2022):
```
pip install torchrec-nightly-cpu
```
implicit (π₯30 Β· β 3.5K Β· π€) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT
+implicit (π₯29 Β· β 3.6K Β· π€) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT
- [GitHub](https://github.com/benfred/implicit) (π¨βπ» 35 Β· π 600 Β· π₯ 1.5K Β· π¦ 1.5K Β· π 500 - 17% open Β· β±οΈ 21.11.2023):
```
git clone https://github.com/benfred/implicit
```
-- [PyPi](https://pypi.org/project/implicit) (π₯ 210K / month Β· π¦ 29 Β· β±οΈ 29.09.2023):
+- [PyPi](https://pypi.org/project/implicit) (π₯ 200K / month Β· π¦ 29 Β· β±οΈ 29.09.2023):
```
pip install implicit
```
-- [Conda](https://anaconda.org/conda-forge/implicit) (π₯ 910K Β· β±οΈ 23.08.2024):
+- [Conda](https://anaconda.org/conda-forge/implicit) (π₯ 920K Β· β±οΈ 23.08.2024):
```
conda install -c conda-forge implicit
```
scikit-surprise (π₯28 Β· β 6.4K) - A Python scikit for building and analyzing recommender.. BSD-3
+Cornac (π₯28 Β· β 880) - A Comparative Framework for Multimodal Recommender Systems. Apache-2
-- [GitHub](https://github.com/NicolasHug/Surprise) (π¨βπ» 46 Β· π 1K Β· π¦ 21 Β· π 400 - 21% open Β· β±οΈ 14.06.2024):
+- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 22 Β· π 140 Β· π¦ 240 Β· π 160 - 11% open Β· β±οΈ 14.09.2024):
```
- git clone https://github.com/NicolasHug/Surprise
+ git clone https://github.com/PreferredAI/cornac
```
-- [PyPi](https://pypi.org/project/scikit-surprise) (π₯ 97K / month Β· π¦ 37 Β· β±οΈ 19.05.2024):
+- [PyPi](https://pypi.org/project/cornac) (π₯ 62K / month Β· π¦ 18 Β· β±οΈ 15.08.2024):
```
- pip install scikit-surprise
+ pip install cornac
```
-- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (π₯ 420K Β· β±οΈ 20.05.2024):
+- [Conda](https://anaconda.org/conda-forge/cornac) (π₯ 600K Β· β±οΈ 13.09.2024):
```
- conda install -c conda-forge scikit-surprise
+ conda install -c conda-forge cornac
```
Cornac (π₯28 Β· β 880) - A Comparative Framework for Multimodal Recommender Systems. Apache-2
+scikit-surprise (π₯27 Β· β 6.4K) - A Python scikit for building and analyzing recommender.. BSD-3
-- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 22 Β· π 140 Β· π¦ 240 Β· π 160 - 11% open Β· β±οΈ 14.09.2024):
+- [GitHub](https://github.com/NicolasHug/Surprise) (π¨βπ» 46 Β· π 1K Β· π¦ 21 Β· π 400 - 21% open Β· β±οΈ 14.06.2024):
```
- git clone https://github.com/PreferredAI/cornac
+ git clone https://github.com/NicolasHug/Surprise
```
-- [PyPi](https://pypi.org/project/cornac) (π₯ 64K / month Β· π¦ 18 Β· β±οΈ 15.08.2024):
+- [PyPi](https://pypi.org/project/scikit-surprise) (π₯ 120K / month Β· π¦ 37 Β· β±οΈ 19.05.2024):
```
- pip install cornac
+ pip install scikit-surprise
```
-- [Conda](https://anaconda.org/conda-forge/cornac) (π₯ 600K Β· β±οΈ 13.09.2024):
+- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (π₯ 420K Β· β±οΈ 20.05.2024):
```
- conda install -c conda-forge cornac
+ conda install -c conda-forge scikit-surprise
```
TF Ranking (π₯26 Β· β 2.7K Β· π€) - Learning to Rank in TensorFlow. Apache-2
@@ -5285,19 +5237,19 @@ _Libraries for building and evaluating recommendation systems._
```
git clone https://github.com/tensorflow/ranking
```
-- [PyPi](https://pypi.org/project/tensorflow_ranking) (π₯ 110K / month Β· π¦ 15 Β· β±οΈ 18.03.2024):
+- [PyPi](https://pypi.org/project/tensorflow_ranking) (π₯ 100K / month Β· π¦ 15 Β· β±οΈ 18.03.2024):
```
pip install tensorflow_ranking
```
RecBole (π₯25 Β· β 3.4K) - A unified, comprehensive and efficient recommendation library. MIT
-- [GitHub](https://github.com/RUCAIBox/RecBole) (π¨βπ» 74 Β· π 610 Β· π 990 - 28% open Β· β±οΈ 05.09.2024):
+- [GitHub](https://github.com/RUCAIBox/RecBole) (π¨βπ» 74 Β· π 610 Β· π 1K - 28% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/RUCAIBox/RecBole
```
-- [PyPi](https://pypi.org/project/recbole) (π₯ 27K / month Β· π¦ 2 Β· β±οΈ 31.10.2023):
+- [PyPi](https://pypi.org/project/recbole) (π₯ 33K / month Β· π¦ 2 Β· β±οΈ 31.10.2023):
```
pip install recbole
```
@@ -5318,24 +5270,13 @@ _Libraries for building and evaluating recommendation systems._
pip install tensorflow-recommenders
```
recmetrics (π₯19 Β· β 560 Β· π€) - A library of metrics for evaluating recommender systems. MIT
-
-- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (π¨βπ» 20 Β· π 97 Β· π₯ 8 Β· π¦ 58 Β· π 29 - 44% open Β· β±οΈ 04.10.2023):
-
- ```
- git clone https://github.com/statisticianinstilettos/recmetrics
- ```
-- [PyPi](https://pypi.org/project/recmetrics) (π₯ 4.6K / month Β· β±οΈ 26.04.2022):
- ```
- pip install recmetrics
- ```
-Show 8 hidden projects...
+Show 9 hidden projects...
- lightfm (π₯28 Β· β 4.8K Β· π) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2
- lkpy (π₯25 Β· β 270) - Python recommendation toolkit. MIT
- fastFM (π₯22 Β· β 1.1K Β· π) - fastFM: A Library for Factorization Machines. BSD-3
- tensorrec (π₯21 Β· β 1.3K Β· π) - A TensorFlow recommendation algorithm and framework in.. Apache-2 MIT
- Case Recommender (π₯19 Β· β 480 Β· π) - Case Recommender: A Flexible and Extensible Python.. MIT MIT Apache-2
@@ -5351,24 +5292,24 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
PySyft (π₯37 Β· β 9.5K) - Perform data science on data that remains in someone elses server. Apache-2
-- [GitHub](https://github.com/OpenMined/PySyft) (π¨βπ» 520 Β· π 2K Β· π₯ 2.3K Β· π¦ 1 Β· π 3.4K - 1% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/OpenMined/PySyft) (π¨βπ» 520 Β· π 2K Β· π₯ 2.3K Β· π¦ 1 Β· π 3.4K - 1% open Β· β±οΈ 03.11.2024):
```
git clone https://github.com/OpenMined/PySyft
```
-- [PyPi](https://pypi.org/project/syft) (π₯ 23K / month Β· π¦ 4 Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/syft) (π₯ 19K / month Β· π¦ 4 Β· β±οΈ 03.11.2024):
```
pip install syft
```
Opacus (π₯32 Β· β 1.7K) - Training PyTorch models with differential privacy. Apache-2
+Opacus (π₯31 Β· β 1.7K) - Training PyTorch models with differential privacy. Apache-2
-- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 82 Β· π 330 Β· π₯ 130 Β· π¦ 890 Β· π 310 - 23% open Β· β±οΈ 19.10.2024):
+- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 82 Β· π 330 Β· π₯ 130 Β· π¦ 890 Β· π 310 - 23% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/pytorch/opacus
```
-- [PyPi](https://pypi.org/project/opacus) (π₯ 270K / month Β· π¦ 36 Β· β±οΈ 03.08.2024):
+- [PyPi](https://pypi.org/project/opacus) (π₯ 280K / month Β· π¦ 36 Β· β±οΈ 03.08.2024):
```
pip install opacus
```
@@ -5379,12 +5320,12 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
TensorFlow Privacy (π₯26 Β· β 1.9K) - Library for training machine learning models with.. Apache-2
-- [GitHub](https://github.com/tensorflow/privacy) (π¨βπ» 59 Β· π 440 Β· π₯ 170 Β· π 210 - 55% open Β· β±οΈ 25.10.2024):
+- [GitHub](https://github.com/tensorflow/privacy) (π¨βπ» 59 Β· π 440 Β· π₯ 180 Β· π 210 - 55% open Β· β±οΈ 25.10.2024):
```
git clone https://github.com/tensorflow/privacy
```
-- [PyPi](https://pypi.org/project/tensorflow-privacy) (π₯ 21K / month Β· π¦ 21 Β· β±οΈ 14.02.2024):
+- [PyPi](https://pypi.org/project/tensorflow-privacy) (π₯ 20K / month Β· π¦ 21 Β· β±οΈ 14.02.2024):
```
pip install tensorflow-privacy
```
@@ -5396,33 +5337,33 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
```
git clone https://github.com/tf-encrypted/tf-encrypted
```
-- [PyPi](https://pypi.org/project/tf-encrypted) (π₯ 3K / month Β· π¦ 9 Β· β±οΈ 16.11.2022):
+- [PyPi](https://pypi.org/project/tf-encrypted) (π₯ 2.5K / month Β· π¦ 9 Β· β±οΈ 16.11.2022):
```
pip install tf-encrypted
```
FATE (π₯24 Β· β 5.7K Β· π) - An Industrial Grade Federated Learning Framework. Apache-2
+CrypTen (π₯24 Β· β 1.5K) - A framework for Privacy Preserving Machine Learning. MIT
-- [GitHub](https://github.com/FederatedAI/FATE) (π¨βπ» 100 Β· π 1.5K Β· π 2K - 3% open Β· β±οΈ 21.08.2024):
+- [GitHub](https://github.com/facebookresearch/CrypTen) (π¨βπ» 38 Β· π 270 Β· π¦ 45 Β· π 280 - 28% open Β· β±οΈ 19.10.2024):
```
- git clone https://github.com/FederatedAI/FATE
+ git clone https://github.com/facebookresearch/CrypTen
```
-- [PyPi](https://pypi.org/project/ETAF) (β±οΈ 06.05.2020):
+- [PyPi](https://pypi.org/project/crypten) (π₯ 810 / month Β· π¦ 1 Β· β±οΈ 08.12.2022):
```
- pip install ETAF
+ pip install crypten
```
CrypTen (π₯24 Β· β 1.5K) - A framework for Privacy Preserving Machine Learning. MIT
+FATE (π₯23 Β· β 5.7K) - An Industrial Grade Federated Learning Framework. Apache-2
-- [GitHub](https://github.com/facebookresearch/CrypTen) (π¨βπ» 38 Β· π 270 Β· π¦ 45 Β· π 280 - 28% open Β· β±οΈ 19.10.2024):
+- [GitHub](https://github.com/FederatedAI/FATE) (π¨βπ» 100 Β· π 1.5K Β· π 2K - 3% open Β· β±οΈ 21.08.2024):
```
- git clone https://github.com/facebookresearch/CrypTen
+ git clone https://github.com/FederatedAI/FATE
```
-- [PyPi](https://pypi.org/project/crypten) (π₯ 840 / month Β· π¦ 1 Β· β±οΈ 08.12.2022):
+- [PyPi](https://pypi.org/project/ETAF) (β±οΈ 06.05.2020):
```
- pip install crypten
+ pip install ETAF
```
Show 1 hidden projects...
@@ -5439,28 +5380,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (π₯44 Β· β 19K) - Open source platform for the machine learning lifecycle. Apache-2
-- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 780 Β· π 4.2K Β· π¦ 45K Β· π 4.3K - 38% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 790 Β· π 4.2K Β· π¦ 45K Β· π 4.3K - 38% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/mlflow/mlflow
```
-- [PyPi](https://pypi.org/project/mlflow) (π₯ 16M / month Β· π¦ 890 Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/mlflow) (π₯ 17M / month Β· π¦ 890 Β· β±οΈ 31.10.2024):
```
pip install mlflow
```
-- [Conda](https://anaconda.org/conda-forge/mlflow) (π₯ 2.4M Β· β±οΈ 28.10.2024):
+- [Conda](https://anaconda.org/conda-forge/mlflow) (π₯ 2.5M Β· β±οΈ 01.11.2024):
```
conda install -c conda-forge mlflow
```
DVC (π₯42 Β· β 14K) - Data Versioning and ML Experiments. Apache-2
-- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 310 Β· π 1.2K Β· π¦ 19K Β· π 4.7K - 4% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 310 Β· π 1.2K Β· π¦ 19K Β· π 4.7K - 4% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/iterative/dvc
```
-- [PyPi](https://pypi.org/project/dvc) (π₯ 660K / month Β· π¦ 130 Β· β±οΈ 23.10.2024):
+- [PyPi](https://pypi.org/project/dvc) (π₯ 630K / month Β· π¦ 130 Β· β±οΈ 23.10.2024):
```
pip install dvc
```
@@ -5471,16 +5412,16 @@ _Libraries to organize, track, and visualize machine learning experiments._
wandb client (π₯42 Β· β 9.1K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT
-- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 190 Β· π 670 Β· π₯ 350 Β· π¦ 57K Β· π 3.4K - 26% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 200 Β· π 670 Β· π₯ 350 Β· π¦ 57K Β· π 3.4K - 26% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/wandb/client
```
-- [PyPi](https://pypi.org/project/wandb) (π₯ 21M / month Β· π¦ 1.4K Β· β±οΈ 17.10.2024):
+- [PyPi](https://pypi.org/project/wandb) (π₯ 20M / month Β· π¦ 1.5K Β· β±οΈ 06.11.2024):
```
pip install wandb
```
-- [Conda](https://anaconda.org/conda-forge/wandb) (π₯ 700K Β· β±οΈ 23.10.2024):
+- [Conda](https://anaconda.org/conda-forge/wandb) (π₯ 720K Β· β±οΈ 23.10.2024):
```
conda install -c conda-forge wandb
```
@@ -5503,48 +5444,48 @@ _Libraries to organize, track, and visualize machine learning experiments._
SageMaker SDK (π₯41 Β· β 2.1K) - A library for training and deploying machine learning.. Apache-2
-- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 460 Β· π 1.1K Β· π¦ 4.7K Β· π 1.5K - 21% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 460 Β· π 1.1K Β· π¦ 4.7K Β· π 1.5K - 21% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/aws/sagemaker-python-sdk
```
-- [PyPi](https://pypi.org/project/sagemaker) (π₯ 27M / month Β· π¦ 160 Β· β±οΈ 30.10.2024):
+- [PyPi](https://pypi.org/project/sagemaker) (π₯ 26M / month Β· π¦ 160 Β· β±οΈ 04.11.2024):
```
pip install sagemaker
```
-- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (π₯ 1.1M Β· β±οΈ 31.07.2024):
+- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (π₯ 1.2M Β· β±οΈ 31.07.2024):
```
conda install -c conda-forge sagemaker-python-sdk
```
PyCaret (π₯36 Β· β 8.9K) - An open-source, low-code machine learning library in Python. MIT
+PyCaret (π₯35 Β· β 8.9K) - An open-source, low-code machine learning library in Python. MIT
- [GitHub](https://github.com/pycaret/pycaret) (π¨βπ» 140 Β· π 1.7K Β· π₯ 720 Β· π¦ 6.6K Β· π 2.3K - 16% open Β· β±οΈ 30.08.2024):
```
git clone https://github.com/pycaret/pycaret
```
-- [PyPi](https://pypi.org/project/pycaret) (π₯ 280K / month Β· π¦ 31 Β· β±οΈ 28.04.2024):
+- [PyPi](https://pypi.org/project/pycaret) (π₯ 290K / month Β· π¦ 31 Β· β±οΈ 28.04.2024):
```
pip install pycaret
```
-- [Conda](https://anaconda.org/conda-forge/pycaret) (π₯ 57K Β· β±οΈ 25.04.2024):
+- [Conda](https://anaconda.org/conda-forge/pycaret) (π₯ 58K Β· β±οΈ 25.04.2024):
```
conda install -c conda-forge pycaret
```
Metaflow (π₯35 Β· β 8.2K) - Open Source Platform for developing, scaling and deploying serious.. Apache-2
-- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 96 Β· π 770 Β· π¦ 740 Β· π 760 - 44% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 96 Β· π 770 Β· π¦ 750 Β· π 760 - 44% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/Netflix/metaflow
```
-- [PyPi](https://pypi.org/project/metaflow) (π₯ 870K / month Β· π¦ 47 Β· β±οΈ 24.10.2024):
+- [PyPi](https://pypi.org/project/metaflow) (π₯ 900K / month Β· π¦ 47 Β· β±οΈ 01.11.2024):
```
pip install metaflow
```
-- [Conda](https://anaconda.org/conda-forge/metaflow) (π₯ 220K Β· β±οΈ 08.10.2024):
+- [Conda](https://anaconda.org/conda-forge/metaflow) (π₯ 230K Β· β±οΈ 08.10.2024):
```
conda install -c conda-forge metaflow
```
@@ -5556,7 +5497,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/lanpa/tensorboardX
```
-- [PyPi](https://pypi.org/project/tensorboardX) (π₯ 3.4M / month Β· π¦ 620 Β· β±οΈ 20.08.2023):
+- [PyPi](https://pypi.org/project/tensorboardX) (π₯ 3.6M / month Β· π¦ 620 Β· β±οΈ 20.08.2023):
```
pip install tensorboardX
```
@@ -5567,28 +5508,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
snakemake (π₯34 Β· β 2.3K) - This is the development home of the workflow management system.. MIT
-- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 340 Β· π 550 Β· π¦ 2.1K Β· π 1.8K - 62% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 340 Β· π 550 Β· π¦ 2.1K Β· π 1.8K - 61% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/snakemake/snakemake
```
-- [PyPi](https://pypi.org/project/snakemake) (π₯ 120K / month Β· π¦ 240 Β· β±οΈ 29.10.2024):
+- [PyPi](https://pypi.org/project/snakemake) (π₯ 120K / month Β· π¦ 240 Β· β±οΈ 05.11.2024):
```
pip install snakemake
```
-- [Conda](https://anaconda.org/bioconda/snakemake) (π₯ 1.2M Β· β±οΈ 29.10.2024):
+- [Conda](https://anaconda.org/bioconda/snakemake) (π₯ 1.2M Β· β±οΈ 05.11.2024):
```
conda install -c bioconda snakemake
```
ClearML (π₯33 Β· β 5.7K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2
-- [GitHub](https://github.com/allegroai/clearml) (π¨βπ» 100 Β· π 650 Β· π₯ 2.9K Β· π¦ 1.4K Β· π 1.1K - 46% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/allegroai/clearml) (π¨βπ» 100 Β· π 650 Β· π₯ 2.9K Β· π¦ 1.4K Β· π 1.1K - 46% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/allegroai/clearml
```
-- [PyPi](https://pypi.org/project/clearml) (π₯ 320K / month Β· π¦ 44 Β· β±οΈ 27.10.2024):
+- [PyPi](https://pypi.org/project/clearml) (π₯ 330K / month Β· π¦ 44 Β· β±οΈ 27.10.2024):
```
pip install clearml
```
@@ -5599,28 +5540,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
aim (π₯33 Β· β 5.2K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2
-- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 76 Β· π 320 Β· π¦ 720 Β· π 1.1K - 36% open Β· β±οΈ 02.10.2024):
+- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 76 Β· π 320 Β· π¦ 730 Β· π 1.1K - 36% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/aimhubio/aim
```
-- [PyPi](https://pypi.org/project/aim) (π₯ 1M / month Β· π¦ 38 Β· β±οΈ 30.10.2024):
+- [PyPi](https://pypi.org/project/aim) (π₯ 1M / month Β· π¦ 38 Β· β±οΈ 06.11.2024):
```
pip install aim
```
-- [Conda](https://anaconda.org/conda-forge/aim) (π₯ 83K Β· β±οΈ 14.06.2024):
+- [Conda](https://anaconda.org/conda-forge/aim) (π₯ 84K Β· β±οΈ 14.06.2024):
```
conda install -c conda-forge aim
```
kaggle (π₯32 Β· β 6.2K) - Official Kaggle API. Apache-2
-- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 47 Β· π 1.1K Β· π¦ 21 Β· π 480 - 30% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 47 Β· π 1.1K Β· π¦ 21 Β· π 490 - 30% open Β· β±οΈ 29.10.2024):
```
git clone https://github.com/Kaggle/kaggle-api
```
-- [PyPi](https://pypi.org/project/kaggle) (π₯ 210K / month Β· π¦ 210 Β· β±οΈ 24.07.2024):
+- [PyPi](https://pypi.org/project/kaggle) (π₯ 220K / month Β· π¦ 210 Β· β±οΈ 24.07.2024):
```
pip install kaggle
```
@@ -5640,19 +5581,19 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
pip install sacred
```
-- [Conda](https://anaconda.org/conda-forge/sacred) (π₯ 6.8K Β· β±οΈ 28.11.2023):
+- [Conda](https://anaconda.org/conda-forge/sacred) (π₯ 6.9K Β· β±οΈ 28.11.2023):
```
conda install -c conda-forge sacred
```
AzureML SDK (π₯32 Β· β 4.1K) - Python notebooks with ML and deep learning examples with Azure.. MIT
-- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (π¨βπ» 64 Β· π 2.5K Β· π₯ 660 Β· π 1.5K - 26% open Β· β±οΈ 21.10.2024):
+- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (π¨βπ» 64 Β· π 2.5K Β· π₯ 660 Β· π 1.5K - 26% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/Azure/MachineLearningNotebooks
```
-- [PyPi](https://pypi.org/project/azureml-sdk) (π₯ 390K / month Β· π¦ 31 Β· β±οΈ 16.10.2024):
+- [PyPi](https://pypi.org/project/azureml-sdk) (π₯ 370K / month Β· π¦ 31 Β· β±οΈ 16.10.2024):
```
pip install azureml-sdk
```
@@ -5669,61 +5610,61 @@ _Libraries to organize, track, and visualize machine learning experiments._
pip install visualdl
```
Labml (π₯29 Β· β 2K) - Monitor deep learning model training and hardware usage from your mobile phone. MIT
+
+- [GitHub](https://github.com/labmlai/labml) (π¨βπ» 9 Β· π 140 Β· π¦ 180 Β· π 47 - 10% open Β· β±οΈ 06.11.2024):
+
+ ```
+ git clone https://github.com/labmlai/labml
+ ```
+- [PyPi](https://pypi.org/project/labml) (π₯ 12K / month Β· π¦ 14 Β· β±οΈ 15.09.2024):
+ ```
+ pip install labml
+ ```
+Neptune.ai (π₯29 Β· β 580) - The experiment tracker for foundation model training. Apache-2
-- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 55 Β· π 63 Β· π¦ 640 Β· π 240 - 9% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 55 Β· π 63 Β· π¦ 640 Β· π 240 - 9% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/neptune-ai/neptune-client
```
-- [PyPi](https://pypi.org/project/neptune-client) (π₯ 480K / month Β· π¦ 77 Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/neptune-client) (π₯ 490K / month Β· π¦ 77 Β· β±οΈ 31.10.2024):
```
pip install neptune-client
```
-- [Conda](https://anaconda.org/conda-forge/neptune-client) (π₯ 290K Β· β±οΈ 02.10.2024):
+- [Conda](https://anaconda.org/conda-forge/neptune-client) (π₯ 290K Β· β±οΈ 31.10.2024):
```
conda install -c conda-forge neptune-client
```
Labml (π₯28 Β· β 2K) - Monitor deep learning model training and hardware usage from your mobile phone. MIT
-
-- [GitHub](https://github.com/labmlai/labml) (π¨βπ» 9 Β· π 140 Β· π¦ 180 Β· π 47 - 10% open Β· β±οΈ 29.10.2024):
-
- ```
- git clone https://github.com/labmlai/labml
- ```
-- [PyPi](https://pypi.org/project/labml) (π₯ 13K / month Β· π¦ 14 Β· β±οΈ 15.09.2024):
- ```
- pip install labml
- ```
-ml-metadata (π₯28 Β· β 620 Β· π) - For recording and retrieving metadata associated with ML.. Apache-2
+ml-metadata (π₯28 Β· β 620) - For recording and retrieving metadata associated with ML.. Apache-2
- [GitHub](https://github.com/google/ml-metadata) (π¨βπ» 21 Β· π 140 Β· π₯ 2.7K Β· π¦ 580 Β· π 120 - 39% open Β· β±οΈ 24.10.2024):
```
git clone https://github.com/google/ml-metadata
```
-- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 81K / month Β· π¦ 31 Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 85K / month Β· π¦ 31 Β· β±οΈ 01.10.2024):
```
pip install ml-metadata
```
TNT (π₯26 Β· β 1.7K) - A lightweight library for PyTorch training tools and utilities. BSD-3
-- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 140 Β· π 270 Β· π 140 - 54% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 140 Β· π 270 Β· π 140 - 54% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/pytorch/tnt
```
-- [PyPi](https://pypi.org/project/torchnet) (π₯ 6K / month Β· π¦ 24 Β· β±οΈ 29.07.2018):
+- [PyPi](https://pypi.org/project/torchnet) (π₯ 5.6K / month Β· π¦ 24 Β· β±οΈ 29.07.2018):
```
pip install torchnet
```
quinn (π₯26 Β· β 640) - pyspark methods to enhance developer productivity. Apache-2
-- [GitHub](https://github.com/mrpowers-io/quinn) (π¨βπ» 32 Β· π 96 Β· π₯ 41 Β· π¦ 86 Β· π 140 - 26% open Β· β±οΈ 12.10.2024):
+- [GitHub](https://github.com/mrpowers-io/quinn) (π¨βπ» 32 Β· π 97 Β· π₯ 41 Β· π¦ 87 Β· π 140 - 26% open Β· β±οΈ 12.10.2024):
```
git clone https://github.com/MrPowers/quinn
@@ -5733,14 +5674,14 @@ _Libraries to organize, track, and visualize machine learning experiments._
pip install quinn
```
gokart (π₯26 Β· β 320) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT
+gokart (π₯25 Β· β 320) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT
-- [GitHub](https://github.com/m3dev/gokart) (π¨βπ» 41 Β· π 57 Β· π¦ 83 Β· π 88 - 28% open Β· β±οΈ 27.10.2024):
+- [GitHub](https://github.com/m3dev/gokart) (π¨βπ» 41 Β· π 57 Β· π¦ 83 Β· π 88 - 28% open Β· β±οΈ 02.11.2024):
```
git clone https://github.com/m3dev/gokart
```
-- [PyPi](https://pypi.org/project/gokart) (π₯ 8.8K / month Β· π¦ 8 Β· β±οΈ 28.10.2024):
+- [PyPi](https://pypi.org/project/gokart) (π₯ 7.9K / month Β· π¦ 8 Β· β±οΈ 28.10.2024):
```
pip install gokart
```
@@ -5752,7 +5693,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/google/caliban
```
-- [PyPi](https://pypi.org/project/caliban) (π₯ 1.6K / month Β· β±οΈ 12.09.2020):
+- [PyPi](https://pypi.org/project/caliban) (π₯ 1.7K / month Β· β±οΈ 12.09.2020):
```
pip install caliban
```
@@ -5764,7 +5705,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/comet-ml/examples
```
-- [PyPi](https://pypi.org/project/comet_ml) (π₯ 550K / month Β· π¦ 77 Β· β±οΈ 23.10.2024):
+- [PyPi](https://pypi.org/project/comet_ml) (π₯ 480K / month Β· π¦ 79 Β· β±οΈ 05.11.2024):
```
pip install comet_ml
```
@@ -5776,7 +5717,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
Show 17 hidden projects...
- Catalyst (π₯28 Β· β 3.3K Β· π) - Accelerated deep learning R&D. Apache-2 MIT
+- knockknock (π₯25 Β· β 2.8K Β· π) - Knock Knock: Get notified when your training ends with only two.. MIT
- livelossplot (π₯25 Β· β 1.3K Β· π) - Live training loss plot in Jupyter Notebook for Keras,.. MIT βοΈBSD-1-Clause Apache-2
@@ -5786,11 +5727,11 @@ _Libraries to organize, track, and visualize machine learning experiments._
- TensorBoard Logger (π₯21 Β· β 630 Β· π) - Log TensorBoard events without touching TensorFlow. MIT
- TensorWatch (π₯20 Β· β 3.4K Β· π) - Debugging, monitoring and visualization for Python Machine.. MIT
- MXBoard (π₯20 Β· β 320 Β· π) - Logging MXNet data for visualization in TensorBoard. Apache-2 Apache-2
- datmo (π₯19 Β· β 340 Β· π) - Open source production model management tool for data scientists. MIT
+- keepsake (π₯18 Β· β 1.6K Β· π) - Version control for machine learning. Apache-2
- chitra (π₯17 Β· β 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2
- steppy (π₯17 Β· β 130 Β· π) - Lightweight, Python library for fast and reproducible experimentation. MIT
-- ModelChimp (π₯14 Β· β 130 Β· π) - Experiment tracking for machine and deep learning projects. BSD-2
+- ModelChimp (π₯13 Β· β 130 Β· π) - Experiment tracking for machine and deep learning projects. BSD-2
- traintool (π₯10 Β· β 12 Β· π) - Train off-the-shelf machine learning models in one.. Apache-2
@@ -5803,12 +5744,12 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (π₯43 Β· β 18K) - Open standard for machine learning interoperability. Apache-2
-- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 330 Β· π 3.7K Β· π₯ 22K Β· π¦ 35K Β· π 2.9K - 12% open Β· β±οΈ 28.10.2024):
+- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 330 Β· π 3.7K Β· π₯ 22K Β· π¦ 35K Β· π 2.9K - 12% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/onnx/onnx
```
-- [PyPi](https://pypi.org/project/onnx) (π₯ 5.9M / month Β· π¦ 1.1K Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/onnx) (π₯ 6M / month Β· π¦ 1.1K Β· β±οΈ 01.10.2024):
```
pip install onnx
```
@@ -5819,7 +5760,7 @@ _Libraries to serialize models to files, convert between a variety of model form
triton (π₯43 Β· β 13K) - Development repository for the Triton language and compiler. MIT
-- [GitHub](https://github.com/triton-lang/triton) (π¨βπ» 340 Β· π 1.6K Β· π¦ 41K Β· π 1.5K - 44% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/triton-lang/triton) (π¨βπ» 340 Β· π 1.6K Β· π¦ 42K Β· π 1.5K - 44% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/openai/triton
@@ -5831,12 +5772,12 @@ _Libraries to serialize models to files, convert between a variety of model form
huggingface_hub (π₯38 Β· β 2.1K) - The official Python client for the Huggingface Hub. Apache-2
-- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 200 Β· π 550 Β· π 980 - 15% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 200 Β· π 550 Β· π 990 - 15% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/huggingface/huggingface_hub
```
-- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 48M / month Β· π¦ 2K Β· β±οΈ 28.10.2024):
+- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 47M / month Β· π¦ 2K Β· β±οΈ 28.10.2024):
```
pip install huggingface_hub
```
@@ -5847,12 +5788,12 @@ _Libraries to serialize models to files, convert between a variety of model form
Core ML Tools (π₯36 Β· β 4.4K) - Core ML tools contain supporting tools for Core ML model.. BSD-3
-- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 180 Β· π 630 Β· π₯ 12K Β· π¦ 4.2K Β· π 1.4K - 24% open Β· β±οΈ 28.10.2024):
+- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 180 Β· π 630 Β· π₯ 12K Β· π¦ 4.2K Β· π 1.5K - 24% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/apple/coremltools
```
-- [PyPi](https://pypi.org/project/coremltools) (π₯ 670K / month Β· π¦ 81 Β· β±οΈ 16.09.2024):
+- [PyPi](https://pypi.org/project/coremltools) (π₯ 790K / month Β· π¦ 81 Β· β±οΈ 16.09.2024):
```
pip install coremltools
```
@@ -5863,28 +5804,28 @@ _Libraries to serialize models to files, convert between a variety of model form
BentoML (π₯35 Β· β 7.1K) - The easiest way to serve AI apps and models - Build Model Inference.. Apache-2
-- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 210 Β· π 790 Β· π₯ 1.1K Β· π¦ 2.1K Β· π 1.1K - 15% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 210 Β· π 790 Β· π₯ 1.1K Β· π¦ 2.2K Β· π 1.1K - 15% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/bentoml/BentoML
```
-- [PyPi](https://pypi.org/project/bentoml) (π₯ 120K / month Β· π¦ 28 Β· β±οΈ 29.10.2024):
+- [PyPi](https://pypi.org/project/bentoml) (π₯ 130K / month Β· π¦ 28 Β· β±οΈ 29.10.2024):
```
pip install bentoml
```
TorchServe (π₯34 Β· β 4.2K) - Serve, optimize and scale PyTorch models in production. Apache-2
-- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 220 Β· π 860 Β· π₯ 7K Β· π¦ 740 Β· π 1.7K - 24% open Β· β±οΈ 23.10.2024):
+- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 220 Β· π 860 Β· π₯ 7K Β· π¦ 750 Β· π 1.7K - 24% open Β· β±οΈ 23.10.2024):
```
git clone https://github.com/pytorch/serve
```
-- [PyPi](https://pypi.org/project/torchserve) (π₯ 55K / month Β· π¦ 22 Β· β±οΈ 30.09.2024):
+- [PyPi](https://pypi.org/project/torchserve) (π₯ 54K / month Β· π¦ 22 Β· β±οΈ 30.09.2024):
```
pip install torchserve
```
-- [Conda](https://anaconda.org/pytorch/torchserve) (π₯ 330K Β· β±οΈ 30.09.2024):
+- [Conda](https://anaconda.org/pytorch/torchserve) (π₯ 340K Β· β±οΈ 30.09.2024):
```
conda install -c pytorch torchserve
```
@@ -5893,14 +5834,14 @@ _Libraries to serialize models to files, convert between a variety of model form
docker pull pytorch/torchserve
```
Hummingbird (π₯26 Β· β 3.3K) - Hummingbird compiles trained ML models into tensor computation for.. MIT
+Hummingbird (π₯26 Β· β 3.4K) - Hummingbird compiles trained ML models into tensor computation for.. MIT
-- [GitHub](https://github.com/microsoft/hummingbird) (π¨βπ» 40 Β· π 280 Β· π₯ 710 Β· π 330 - 20% open Β· β±οΈ 24.10.2024):
+- [GitHub](https://github.com/microsoft/hummingbird) (π¨βπ» 40 Β· π 280 Β· π₯ 720 Β· π 330 - 20% open Β· β±οΈ 24.10.2024):
```
git clone https://github.com/microsoft/hummingbird
```
-- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 7.6K / month Β· π¦ 7 Β· β±οΈ 25.10.2024):
+- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 7.9K / month Β· π¦ 7 Β· β±οΈ 25.10.2024):
```
pip install hummingbird-ml
```
@@ -5916,11 +5857,11 @@ _Libraries to serialize models to files, convert between a variety of model form
```
git clone https://github.com/fastmachinelearning/hls4ml
```
-- [PyPi](https://pypi.org/project/hls4ml) (π₯ 1.9K / month Β· β±οΈ 19.12.2023):
+- [PyPi](https://pypi.org/project/hls4ml) (π₯ 1.7K / month Β· β±οΈ 19.12.2023):
```
pip install hls4ml
```
-- [Conda](https://anaconda.org/conda-forge/hls4ml) (π₯ 8.9K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/hls4ml) (π₯ 9K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge hls4ml
```
@@ -5932,7 +5873,7 @@ _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₯ 1.7K / month Β· π¦ 2 Β· β±οΈ 18.06.2023):
+- [PyPi](https://pypi.org/project/nebullvm) (π₯ 1.3K / month Β· π¦ 2 Β· β±οΈ 18.06.2023):
```
pip install nebullvm
```
@@ -5944,23 +5885,23 @@ _Libraries to serialize models to files, convert between a variety of model form
```
git clone https://github.com/riga/tfdeploy
```
-- [PyPi](https://pypi.org/project/tfdeploy) (π₯ 630 / month Β· β±οΈ 30.03.2017):
+- [PyPi](https://pypi.org/project/tfdeploy) (π₯ 500 / month Β· β±οΈ 30.03.2017):
```
pip install tfdeploy
```
Show 10 hidden projects...
-- m2cgen (π₯26 Β· β 2.8K Β· π) - Transform ML models into a native code (Java, C, Python, Go,.. MIT
- mmdnn (π₯25 Β· β 5.8K Β· π) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT
+- m2cgen (π₯25 Β· β 2.8K Β· π) - Transform ML models into a native code (Java, C, Python, Go,.. MIT
- sklearn-porter (π₯24 Β· β 1.3K Β· π) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 Apache-2
-- OMLT (π₯21 Β· β 280) - Represent trained machine learning models as Pyomo optimization.. βUnlicensed
- Larq Compute Engine (π₯21 Β· β 240) - Highly optimized inference engine for Binarized.. Apache-2
+- OMLT (π₯20 Β· β 280) - Represent trained machine learning models as Pyomo optimization.. βUnlicensed
- pytorch2keras (π₯19 Β· β 860 Β· π) - PyTorch to Keras model convertor. MIT
- modelkit (π₯17 Β· β 160) - Toolkit for developing and maintaining ML models. MIT
- backprop (π₯16 Β· β 240 Β· π) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2
-- ml-ane-transformers (π₯13 Β· β 2.5K Β· π) - Reference implementation of the Transformer.. βUnlicensed βUnlicensed
@@ -5972,40 +5913,40 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (π₯43 Β· β 23K) - A game theoretic approach to explain the output of any machine learning model. MIT
-- [GitHub](https://github.com/shap/shap) (π¨βπ» 250 Β· π 3.3K Β· π¦ 21K Β· π 2.5K - 29% open Β· β±οΈ 15.10.2024):
+- [GitHub](https://github.com/shap/shap) (π¨βπ» 250 Β· π 3.3K Β· π¦ 22K Β· π 2.5K - 28% open Β· β±οΈ 15.10.2024):
```
git clone https://github.com/slundberg/shap
```
-- [PyPi](https://pypi.org/project/shap) (π₯ 6.4M / month Β· π¦ 750 Β· β±οΈ 27.06.2024):
+- [PyPi](https://pypi.org/project/shap) (π₯ 6.3M / month Β· π¦ 750 Β· β±οΈ 27.06.2024):
```
pip install shap
```
-- [Conda](https://anaconda.org/conda-forge/shap) (π₯ 4.2M Β· β±οΈ 08.05.2024):
+- [Conda](https://anaconda.org/conda-forge/shap) (π₯ 4.2M Β· β±οΈ 07.11.2024):
```
conda install -c conda-forge shap
```
Netron (π₯37 Β· β 28K) - Visualizer for neural network, deep learning and machine learning.. MIT
-- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.8K Β· π₯ 190K Β· π¦ 580 Β· π 1.1K - 1% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.8K Β· π₯ 120K Β· π¦ 590 Β· π 1.2K - 1% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/lutzroeder/netron
```
-- [PyPi](https://pypi.org/project/netron) (π₯ 25K / month Β· π¦ 83 Β· β±οΈ 26.10.2024):
+- [PyPi](https://pypi.org/project/netron) (π₯ 25K / month Β· π¦ 83 Β· β±οΈ 02.11.2024):
```
pip install netron
```
arviz (π₯36 Β· β 1.6K) - Exploratory analysis of Bayesian models with Python. Apache-2
-- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 160 Β· π 400 Β· π₯ 160 Β· π¦ 7.9K Β· π 870 - 20% open Β· β±οΈ 08.10.2024):
+- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 160 Β· π 400 Β· π₯ 160 Β· π¦ 8K Β· π 870 - 20% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/arviz-devs/arviz
```
-- [PyPi](https://pypi.org/project/arviz) (π₯ 1.3M / month Β· π¦ 310 Β· β±οΈ 28.09.2024):
+- [PyPi](https://pypi.org/project/arviz) (π₯ 1.2M / month Β· π¦ 310 Β· β±οΈ 28.09.2024):
```
pip install arviz
```
@@ -6021,18 +5962,18 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/pytorch/captum
```
-- [PyPi](https://pypi.org/project/captum) (π₯ 200K / month Β· π¦ 130 Β· β±οΈ 05.12.2023):
+- [PyPi](https://pypi.org/project/captum) (π₯ 220K / month Β· π¦ 130 Β· β±οΈ 05.12.2023):
```
pip install captum
```
-- [Conda](https://anaconda.org/conda-forge/captum) (π₯ 80K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/captum) (π₯ 83K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge captum
```
InterpretML (π₯33 Β· β 6.3K) - Fit interpretable models. Explain blackbox machine learning. MIT
-- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 48 Β· π 730 Β· π¦ 770 Β· π 450 - 23% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 48 Β· π 730 Β· π¦ 780 Β· π 450 - 23% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/interpretml/interpret
@@ -6061,14 +6002,42 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/MAIF/shapash
```
-- [PyPi](https://pypi.org/project/shapash) (π₯ 35K / month Β· π¦ 4 Β· β±οΈ 25.10.2024):
+- [PyPi](https://pypi.org/project/shapash) (π₯ 40K / month Β· π¦ 4 Β· β±οΈ 25.10.2024):
```
pip install shapash
```
fairlearn (π₯30 Β· β 1.9K) - A Python package to assess and improve fairness of machine.. MIT
+
+- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 85 Β· π 420 Β· π¦ 3 Β· π 480 - 32% open Β· β±οΈ 05.11.2024):
+
+ ```
+ git clone https://github.com/fairlearn/fairlearn
+ ```
+- [PyPi](https://pypi.org/project/fairlearn) (π₯ 230K / month Β· π¦ 59 Β· β±οΈ 31.10.2024):
+ ```
+ pip install fairlearn
+ ```
+- [Conda](https://anaconda.org/conda-forge/fairlearn) (π₯ 37K Β· β±οΈ 04.11.2024):
+ ```
+ conda install -c conda-forge fairlearn
+ ```
+Model Analysis (π₯30 Β· β 1.3K) - Model analysis tools for TensorFlow. Apache-2
+
+- [GitHub](https://github.com/tensorflow/model-analysis) (π¨βπ» 58 Β· π 270 Β· π 88 - 37% open Β· β±οΈ 05.11.2024):
+
+ ```
+ git clone https://github.com/tensorflow/model-analysis
+ ```
+- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 81K / month Β· π¦ 19 Β· β±οΈ 05.11.2024):
+ ```
+ pip install tensorflow-model-analysis
+ ```
+DoWhy (π₯29 Β· β 7.1K) - DoWhy is a Python library for causal inference that supports explicit.. MIT
-- [GitHub](https://github.com/py-why/dowhy) (π¨βπ» 96 Β· π 930 Β· π₯ 40 Β· π¦ 440 Β· π 480 - 28% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/py-why/dowhy) (π¨βπ» 97 Β· π 930 Β· π₯ 40 Β· π¦ 450 Β· π 480 - 28% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/py-why/dowhy
@@ -6089,7 +6058,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/oegedijk/explainerdashboard
```
-- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 78K / month Β· π¦ 10 Β· β±οΈ 18.03.2024):
+- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 74K / month Β· π¦ 10 Β· β±οΈ 18.03.2024):
```
pip install explainerdashboard
```
@@ -6098,23 +6067,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge explainerdashboard
```
fairlearn (π₯29 Β· β 1.9K) - A Python package to assess and improve fairness of machine.. MIT
-
-- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 85 Β· π 420 Β· π¦ 3 Β· π 490 - 33% open Β· β±οΈ 31.10.2024):
-
- ```
- git clone https://github.com/fairlearn/fairlearn
- ```
-- [PyPi](https://pypi.org/project/fairlearn) (π₯ 230K / month Β· π¦ 55 Β· β±οΈ 19.12.2023):
- ```
- pip install fairlearn
- ```
-- [Conda](https://anaconda.org/conda-forge/fairlearn) (π₯ 37K Β· β±οΈ 20.12.2023):
- ```
- conda install -c conda-forge fairlearn
- ```
-pyLDAvis (π₯29 Β· β 1.8K) - Python library for interactive topic model visualization. Port of.. BSD-3
+pyLDAvis (π₯29 Β· β 1.8K Β· π€) - Python library for interactive topic model visualization... BSD-3
- [GitHub](https://github.com/bmabey/pyLDAvis) (π¨βπ» 42 Β· π 360 Β· π¦ 6.6K Β· π 190 - 40% open Β· β±οΈ 29.04.2024):
@@ -6125,40 +6078,28 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
pip install pyldavis
```
-- [Conda](https://anaconda.org/conda-forge/pyldavis) (π₯ 87K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pyldavis) (π₯ 88K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge pyldavis
```
Model Analysis (π₯29 Β· β 1.3K) - Model analysis tools for TensorFlow. Apache-2
-
-- [GitHub](https://github.com/tensorflow/model-analysis) (π¨βπ» 58 Β· π 270 Β· π 88 - 37% open Β· β±οΈ 30.10.2024):
-
- ```
- git clone https://github.com/tensorflow/model-analysis
- ```
-- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 76K / month Β· π¦ 19 Β· β±οΈ 25.04.2024):
- ```
- pip install tensorflow-model-analysis
- ```
-LIT (π₯28 Β· β 3.5K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2
-- [GitHub](https://github.com/PAIR-code/lit) (π¨βπ» 38 Β· π 350 Β· π¦ 40 Β· π 200 - 57% open Β· β±οΈ 22.10.2024):
+- [GitHub](https://github.com/PAIR-code/lit) (π¨βπ» 38 Β· π 350 Β· π¦ 41 Β· π 200 - 57% open Β· β±οΈ 22.10.2024):
```
git clone https://github.com/PAIR-code/lit
```
-- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 4.4K / month Β· π¦ 3 Β· β±οΈ 22.10.2024):
+- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 4K / month Β· π¦ 3 Β· β±οΈ 22.10.2024):
```
pip install lit-nlp
```
-- [Conda](https://anaconda.org/conda-forge/lit-nlp) (π₯ 93K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/lit-nlp) (π₯ 94K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge lit-nlp
```
dtreeviz (π₯28 Β· β 3K) - A python library for decision tree visualization and model interpretation. MIT
+dtreeviz (π₯27 Β· β 3K) - A python library for decision tree visualization and model interpretation. MIT
- [GitHub](https://github.com/parrt/dtreeviz) (π¨βπ» 27 Β· π 330 Β· π¦ 1.3K Β· π 210 - 34% open Β· β±οΈ 29.08.2024):
@@ -6169,31 +6110,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
pip install dtreeviz
```
-- [Conda](https://anaconda.org/conda-forge/dtreeviz) (π₯ 87K Β· β±οΈ 13.07.2023):
+- [Conda](https://anaconda.org/conda-forge/dtreeviz) (π₯ 88K Β· β±οΈ 13.07.2023):
```
conda install -c conda-forge dtreeviz
```
imodels (π₯27 Β· β 1.4K) - Interpretable ML package for concise, transparent, and accurate.. MIT
-- [GitHub](https://github.com/csinva/imodels) (π¨βπ» 24 Β· π 120 Β· π¦ 110 Β· π 93 - 38% open Β· β±οΈ 24.10.2024):
+- [GitHub](https://github.com/csinva/imodels) (π¨βπ» 24 Β· π 120 Β· π¦ 110 Β· π 93 - 38% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/csinva/imodels
```
-- [PyPi](https://pypi.org/project/imodels) (π₯ 28K / month Β· π¦ 9 Β· β±οΈ 15.10.2024):
+- [PyPi](https://pypi.org/project/imodels) (π₯ 29K / month Β· π¦ 9 Β· β±οΈ 15.10.2024):
```
pip install imodels
```
Fairness 360 (π₯26 Β· β 2.4K) - A comprehensive set of fairness metrics for datasets and.. Apache-2
-- [GitHub](https://github.com/Trusted-AI/AIF360) (π¨βπ» 73 Β· π 830 Β· π¦ 500 Β· π 300 - 66% open Β· β±οΈ 05.07.2024):
+- [GitHub](https://github.com/Trusted-AI/AIF360) (π¨βπ» 73 Β· π 830 Β· π¦ 510 Β· π 300 - 66% open Β· β±οΈ 05.07.2024):
```
git clone https://github.com/Trusted-AI/AIF360
```
-- [PyPi](https://pypi.org/project/aif360) (π₯ 40K / month Β· π¦ 32 Β· β±οΈ 08.04.2024):
+- [PyPi](https://pypi.org/project/aif360) (π₯ 38K / month Β· π¦ 32 Β· β±οΈ 08.04.2024):
```
pip install aif360
```
@@ -6209,69 +6150,57 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/microsoft/responsible-ai-toolbox
```
-- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 12K / month Β· π¦ 6 Β· β±οΈ 08.07.2024):
+- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 13K / month Β· π¦ 6 Β· β±οΈ 08.07.2024):
```
pip install raiwidgets
```
iNNvestigate (π₯26 Β· β 1.3K Β· π€) - A toolbox to iNNvestigate neural networks predictions!. BSD-2
+aequitas (π₯25 Β· β 690) - Bias Auditing & Fair ML Toolkit. MIT
-- [GitHub](https://github.com/albermax/innvestigate) (π¨βπ» 22 Β· π 240 Β· π₯ 160 Β· π¦ 140 Β· π 260 - 21% open Β· β±οΈ 12.10.2023):
+- [GitHub](https://github.com/dssg/aequitas) (π¨βπ» 22 Β· π 110 Β· π¦ 170 Β· π 99 - 51% open Β· β±οΈ 11.09.2024):
```
- git clone https://github.com/albermax/innvestigate
+ git clone https://github.com/dssg/aequitas
```
-- [PyPi](https://pypi.org/project/innvestigate) (π₯ 1.3K / month Β· π¦ 2 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/aequitas) (π₯ 36K / month Β· π¦ 8 Β· β±οΈ 30.01.2024):
```
- pip install innvestigate
+ pip install aequitas
```
CausalNex (π₯25 Β· β 2.2K Β· π€) - A Python library that helps data scientists to infer.. Apache-2
+CausalNex (π₯24 Β· β 2.2K Β· π€) - A Python library that helps data scientists to infer.. Apache-2
- [GitHub](https://github.com/mckinsey/causalnex) (π¨βπ» 40 Β· π 260 Β· π¦ 130 Β· π 140 - 17% open Β· β±οΈ 10.02.2024):
```
git clone https://github.com/quantumblacklabs/causalnex
```
-- [PyPi](https://pypi.org/project/causalnex) (π₯ 12K / month Β· π¦ 4 Β· β±οΈ 22.06.2023):
+- [PyPi](https://pypi.org/project/causalnex) (π₯ 6.1K / month Β· π¦ 4 Β· β±οΈ 22.06.2023):
```
pip install causalnex
```
keract (π₯25 Β· β 1K Β· π€) - Layers Outputs and Gradients in Keras. Made easy. MIT
-
-- [GitHub](https://github.com/philipperemy/keract) (π¨βπ» 16 Β· π 180 Β· π¦ 230 Β· π 89 - 3% open Β· β±οΈ 17.11.2023):
-
- ```
- git clone https://github.com/philipperemy/keract
- ```
-- [PyPi](https://pypi.org/project/keract) (π₯ 12K / month Β· π¦ 9 Β· β±οΈ 25.09.2022):
- ```
- pip install keract
- ```
-aequitas (π₯25 Β· β 690) - Bias Auditing & Fair ML Toolkit. MIT
+Explainability 360 (π₯24 Β· β 1.6K) - Interpretability and explainability of data and.. Apache-2
-- [GitHub](https://github.com/dssg/aequitas) (π¨βπ» 22 Β· π 110 Β· π¦ 170 Β· π 99 - 51% open Β· β±οΈ 11.09.2024):
+- [GitHub](https://github.com/Trusted-AI/AIX360) (π¨βπ» 41 Β· π 300 Β· π¦ 100 Β· π 85 - 63% open Β· β±οΈ 16.07.2024):
```
- git clone https://github.com/dssg/aequitas
+ git clone https://github.com/Trusted-AI/AIX360
```
-- [PyPi](https://pypi.org/project/aequitas) (π₯ 37K / month Β· π¦ 8 Β· β±οΈ 30.01.2024):
+- [PyPi](https://pypi.org/project/aix360) (π₯ 3.1K / month Β· π¦ 1 Β· β±οΈ 31.07.2023):
```
- pip install aequitas
+ pip install aix360
```
Explainability 360 (π₯24 Β· β 1.6K) - Interpretability and explainability of data and.. Apache-2
+keract (π₯24 Β· β 1K Β· π€) - Layers Outputs and Gradients in Keras. Made easy. MIT
-- [GitHub](https://github.com/Trusted-AI/AIX360) (π¨βπ» 41 Β· π 300 Β· π¦ 100 Β· π 85 - 63% open Β· β±οΈ 16.07.2024):
+- [GitHub](https://github.com/philipperemy/keract) (π¨βπ» 16 Β· π 180 Β· π¦ 230 Β· π 89 - 3% open Β· β±οΈ 17.11.2023):
```
- git clone https://github.com/Trusted-AI/AIX360
+ git clone https://github.com/philipperemy/keract
```
-- [PyPi](https://pypi.org/project/aix360) (π₯ 3K / month Β· π¦ 1 Β· β±οΈ 31.07.2023):
+- [PyPi](https://pypi.org/project/keract) (π₯ 12K / month Β· π¦ 9 Β· β±οΈ 25.09.2022):
```
- pip install aix360
+ pip install keract
```
What-If Tool (π₯23 Β· β 910 Β· π€) - Source code/webpage/demos for the What-If Tool. Apache-2
@@ -6281,7 +6210,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/PAIR-code/what-if-tool
```
-- [PyPi](https://pypi.org/project/witwidget) (π₯ 9.5K / month Β· π¦ 6 Β· β±οΈ 12.10.2021):
+- [PyPi](https://pypi.org/project/witwidget) (π₯ 9K / month Β· π¦ 6 Β· β±οΈ 12.10.2021):
```
pip install witwidget
```
@@ -6289,59 +6218,59 @@ _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₯ 570 / month Β· π¦ 3 Β· β±οΈ 12.10.2021):
+- [npm](https://www.npmjs.com/package/wit-widget) (π₯ 550 / month Β· π¦ 3 Β· β±οΈ 12.10.2021):
```
npm install wit-widget
```
ecco (π₯22 Β· β 2K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3
+random-forest-importances (π₯22 Β· β 600) - Code to compute permutation and drop-column.. MIT
-- [GitHub](https://github.com/jalammar/ecco) (π¨βπ» 12 Β· π 160 Β· π₯ 120 Β· π¦ 31 Β· π 64 - 51% open Β· β±οΈ 15.08.2024):
+- [GitHub](https://github.com/parrt/random-forest-importances) (π¨βπ» 15 Β· π 130 Β· π¦ 170 Β· π 39 - 20% open Β· β±οΈ 29.09.2024):
```
- git clone https://github.com/jalammar/ecco
- ```
-- [PyPi](https://pypi.org/project/ecco) (π₯ 1.5K / month Β· π¦ 1 Β· β±οΈ 09.01.2022):
- ```
- pip install ecco
+ git clone https://github.com/parrt/random-forest-importances
```
-- [Conda](https://anaconda.org/conda-forge/ecco) (π₯ 5.6K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/rfpimp) (π₯ 14K / month Β· π¦ 5 Β· β±οΈ 28.01.2021):
```
- conda install -c conda-forge ecco
+ pip install rfpimp
```
random-forest-importances (π₯22 Β· β 600) - Code to compute permutation and drop-column.. MIT
+ecco (π₯21 Β· β 2K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3
-- [GitHub](https://github.com/parrt/random-forest-importances) (π¨βπ» 15 Β· π 130 Β· π¦ 170 Β· π 39 - 20% open Β· β±οΈ 29.09.2024):
+- [GitHub](https://github.com/jalammar/ecco) (π¨βπ» 12 Β· π 160 Β· π₯ 120 Β· π¦ 31 Β· π 64 - 51% open Β· β±οΈ 15.08.2024):
```
- git clone https://github.com/parrt/random-forest-importances
+ git clone https://github.com/jalammar/ecco
```
-- [PyPi](https://pypi.org/project/rfpimp) (π₯ 14K / month Β· π¦ 5 Β· β±οΈ 28.01.2021):
+- [PyPi](https://pypi.org/project/ecco) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 09.01.2022):
```
- pip install rfpimp
+ pip install ecco
+ ```
+- [Conda](https://anaconda.org/conda-forge/ecco) (π₯ 5.6K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge ecco
```
DiCE (π₯20 Β· β 1.4K) - Generate Diverse Counterfactual Explanations for any machine.. MIT
+DiCE (π₯20 Β· β 1.4K Β· π€) - Generate Diverse Counterfactual Explanations for any machine.. MIT
- [GitHub](https://github.com/interpretml/DiCE) (π¨βπ» 19 Β· π 190 Β· π 180 - 48% open Β· β±οΈ 17.04.2024):
```
git clone https://github.com/interpretml/DiCE
```
-- [PyPi](https://pypi.org/project/dice-ml) (π₯ 30K / month Β· π¦ 6 Β· β±οΈ 27.10.2023):
+- [PyPi](https://pypi.org/project/dice-ml) (π₯ 33K / month Β· π¦ 6 Β· β±οΈ 27.10.2023):
```
pip install dice-ml
```
fairness-indicators (π₯19 Β· β 340) - Tensorflows Fairness Evaluation and Visualization.. Apache-2
+fairness-indicators (π₯19 Β· β 340 Β· π€) - Tensorflows Fairness Evaluation and Visualization.. Apache-2
- [GitHub](https://github.com/tensorflow/fairness-indicators) (π¨βπ» 36 Β· π 78 Β· π 36 - 72% open Β· β±οΈ 26.04.2024):
```
git clone https://github.com/tensorflow/fairness-indicators
```
-- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 3.3K / month Β· β±οΈ 26.04.2024):
+- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 2.9K / month Β· β±οΈ 26.04.2024):
```
pip install fairness-indicators
```
@@ -6353,19 +6282,19 @@ _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₯ 3.6K / month Β· π¦ 4 Β· β±οΈ 16.01.2024):
+- [PyPi](https://pypi.org/project/lofo-importance) (π₯ 3.4K / month Β· π¦ 4 Β· β±οΈ 16.01.2024):
```
pip install lofo-importance
```
ExplainX.ai (π₯16 Β· β 420) - Explainable AI framework for data scientists. Explain & debug any.. MIT
+ExplainX.ai (π₯15 Β· β 420) - Explainable AI framework for data scientists. Explain & debug any.. MIT
- [GitHub](https://github.com/explainX/explainx) (π¨βπ» 5 Β· π 52 Β· π₯ 19 Β· π 39 - 25% open Β· β±οΈ 21.08.2024):
```
git clone https://github.com/explainX/explainx
```
-- [PyPi](https://pypi.org/project/explainx) (π₯ 2.4K / month Β· β±οΈ 04.02.2021):
+- [PyPi](https://pypi.org/project/explainx) (π₯ 2.2K / month Β· β±οΈ 04.02.2021):
```
pip install explainx
```
@@ -6377,21 +6306,22 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/interpretml/interpret-text
```
-- [PyPi](https://pypi.org/project/interpret-text) (π₯ 430 / month Β· β±οΈ 07.12.2021):
+- [PyPi](https://pypi.org/project/interpret-text) (π₯ 400 / month Β· β±οΈ 07.12.2021):
```
pip install interpret-text
```
Show 24 hidden projects...
+Show 25 hidden projects...
- Lime (π₯32 Β· β 12K Β· π) - Lime: Explaining the predictions of any machine learning classifier. BSD-2
- Deep Checks (π₯29 Β· β 3.6K Β· π€) - Deepchecks: Tests for Continuous Validation of ML Models.. βοΈAGPL-3.0
-- scikit-plot (π₯29 Β· β 2.4K Β· π) - An intuitive library to add plotting functionality to.. MIT MIT βοΈGPL-3.0
- yellowbrick (π₯27 Β· β 4.3K Β· π) - Visual analysis and diagnostic tools to facilitate.. Apache-2 Apache-2 MIT
- Alibi (π₯26 Β· β 2.4K) - Algorithms for explaining machine learning models. βοΈIntel
+- iNNvestigate (π₯26 Β· β 1.3K Β· π) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 MIT MIT MIT Faiss (π₯41 Β· β 31K) - A library for efficient similarity search and clustering of dense vectors. MIT
-- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 200 Β· π 3.6K Β· π¦ 4.1K Β· π 2.5K - 9% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 200 Β· π 3.6K Β· π¦ 4.1K Β· π 2.5K - 9% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/facebookresearch/faiss
@@ -6437,7 +6367,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Milvus (π₯41 Β· β 30K) - A cloud-native vector database, storage for next generation AI.. Apache-2
-- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 290 Β· π 2.9K Β· π₯ 280K Β· π 12K - 6% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 290 Β· π 2.9K Β· π₯ 280K Β· π 12K - 6% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/milvus-io/milvus
@@ -6446,7 +6376,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
pip install pymilvus
```
-- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 67M Β· β 64 Β· β±οΈ 31.10.2024):
+- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 67M Β· β 64 Β· β±οΈ 07.11.2024):
```
docker pull milvusdb/milvus
```
@@ -6467,66 +6397,66 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
conda install -c conda-forge python-annoy
```
hnswlib (π₯32 Β· β 4.3K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2
+NMSLIB (π₯32 Β· β 3.4K) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2
-- [GitHub](https://github.com/nmslib/hnswlib) (π¨βπ» 72 Β· π 620 Β· π¦ 7.1K Β· π 390 - 57% open Β· β±οΈ 17.06.2024):
+- [GitHub](https://github.com/nmslib/nmslib) (π¨βπ» 49 Β· π 450 Β· π¦ 1.2K Β· π 440 - 20% open Β· β±οΈ 21.09.2024):
```
- git clone https://github.com/nmslib/hnswlib
+ git clone https://github.com/nmslib/nmslib
```
-- [PyPi](https://pypi.org/project/hnswlib) (π₯ 940K / month Β· π¦ 130 Β· β±οΈ 03.12.2023):
+- [PyPi](https://pypi.org/project/nmslib) (π₯ 410K / month Β· π¦ 63 Β· β±οΈ 03.02.2021):
```
- pip install hnswlib
+ pip install nmslib
```
-- [Conda](https://anaconda.org/conda-forge/hnswlib) (π₯ 250K Β· β±οΈ 27.09.2023):
+- [Conda](https://anaconda.org/conda-forge/nmslib) (π₯ 160K Β· β±οΈ 09.09.2024):
```
- conda install -c conda-forge hnswlib
+ conda install -c conda-forge nmslib
```
NMSLIB (π₯32 Β· β 3.4K) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2
+hnswlib (π₯31 Β· β 4.4K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2
-- [GitHub](https://github.com/nmslib/nmslib) (π¨βπ» 49 Β· π 450 Β· π¦ 1.2K Β· π 440 - 20% open Β· β±οΈ 21.09.2024):
+- [GitHub](https://github.com/nmslib/hnswlib) (π¨βπ» 72 Β· π 620 Β· π¦ 7.1K Β· π 390 - 57% open Β· β±οΈ 17.06.2024):
```
- git clone https://github.com/nmslib/nmslib
+ git clone https://github.com/nmslib/hnswlib
```
-- [PyPi](https://pypi.org/project/nmslib) (π₯ 370K / month Β· π¦ 63 Β· β±οΈ 03.02.2021):
+- [PyPi](https://pypi.org/project/hnswlib) (π₯ 930K / month Β· π¦ 130 Β· β±οΈ 03.12.2023):
```
- pip install nmslib
+ pip install hnswlib
```
-- [Conda](https://anaconda.org/conda-forge/nmslib) (π₯ 150K Β· β±οΈ 09.09.2024):
+- [Conda](https://anaconda.org/conda-forge/hnswlib) (π₯ 250K Β· β±οΈ 27.09.2023):
```
- conda install -c conda-forge nmslib
+ conda install -c conda-forge hnswlib
```
USearch (π₯30 Β· β 2.2K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2
-- [GitHub](https://github.com/unum-cloud/usearch) (π¨βπ» 54 Β· π 130 Β· π₯ 30K Β· π¦ 130 Β· π 160 - 32% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/unum-cloud/usearch) (π¨βπ» 56 Β· π 140 Β· π₯ 31K Β· π¦ 130 Β· π 170 - 35% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/unum-cloud/usearch
```
-- [PyPi](https://pypi.org/project/usearch) (π₯ 190K / month Β· π¦ 21 Β· β±οΈ 29.10.2024):
+- [PyPi](https://pypi.org/project/usearch) (π₯ 210K / month Β· π¦ 21 Β· β±οΈ 04.11.2024):
```
pip install usearch
```
-- [npm](https://www.npmjs.com/package/usearch) (π₯ 9.2K / month Β· π¦ 14 Β· β±οΈ 29.10.2024):
+- [npm](https://www.npmjs.com/package/usearch) (π₯ 10K / month Β· π¦ 14 Β· β±οΈ 04.11.2024):
```
npm install usearch
```
-- [Docker Hub](https://hub.docker.com/r/unum/usearch) (π₯ 130 Β· β 1 Β· β±οΈ 29.10.2024):
+- [Docker Hub](https://hub.docker.com/r/unum/usearch) (π₯ 140 Β· β 1 Β· β±οΈ 04.11.2024):
```
docker pull unum/usearch
```
PyNNDescent (π₯28 Β· β 880) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2
+PyNNDescent (π₯28 Β· β 890) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2
-- [GitHub](https://github.com/lmcinnes/pynndescent) (π¨βπ» 29 Β· π 100 Β· π¦ 8.2K Β· π 140 - 52% open Β· β±οΈ 17.06.2024):
+- [GitHub](https://github.com/lmcinnes/pynndescent) (π¨βπ» 29 Β· π 100 Β· π¦ 8.3K Β· π 140 - 52% open Β· β±οΈ 17.06.2024):
```
git clone https://github.com/lmcinnes/pynndescent
```
-- [PyPi](https://pypi.org/project/pynndescent) (π₯ 1.7M / month Β· π¦ 160 Β· β±οΈ 17.06.2024):
+- [PyPi](https://pypi.org/project/pynndescent) (π₯ 1.8M / month Β· π¦ 160 Β· β±οΈ 17.06.2024):
```
pip install pynndescent
```
@@ -6537,12 +6467,12 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
NGT (π₯22 Β· β 1.3K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2
-- [GitHub](https://github.com/yahoojapan/NGT) (π¨βπ» 15 Β· π 110 Β· π 140 - 15% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/yahoojapan/NGT) (π¨βπ» 15 Β· π 110 Β· π 140 - 14% open Β· β±οΈ 31.10.2024):
```
git clone https://github.com/yahoojapan/NGT
```
-- [PyPi](https://pypi.org/project/ngt) (π₯ 5.4K / month Β· π¦ 8 Β· β±οΈ 06.12.2023):
+- [PyPi](https://pypi.org/project/ngt) (π₯ 4.5K / month Β· π¦ 8 Β· β±οΈ 06.12.2023):
```
pip install ngt
```
@@ -6564,12 +6494,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (π₯41 Β· β 8.7K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2
-- [GitHub](https://github.com/pymc-devs/pymc) (π¨βπ» 500 Β· π 2K Β· π₯ 2K Β· π¦ 4.4K Β· π 3.4K - 9% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/pymc-devs/pymc) (π¨βπ» 500 Β· π 2K Β· π₯ 2K Β· π¦ 4.5K Β· π 3.4K - 9% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/pymc-devs/pymc
```
-- [PyPi](https://pypi.org/project/pymc3) (π₯ 220K / month Β· π¦ 190 Β· β±οΈ 31.05.2024):
+- [PyPi](https://pypi.org/project/pymc3) (π₯ 210K / month Β· π¦ 190 Β· β±οΈ 31.05.2024):
```
pip install pymc3
```
@@ -6580,12 +6510,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
tensorflow-probability (π₯36 Β· β 4.3K) - Probabilistic reasoning and statistical analysis in.. Apache-2
-- [GitHub](https://github.com/tensorflow/probability) (π¨βπ» 500 Β· π 1.1K Β· π¦ 2 Β· π 1.4K - 47% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/tensorflow/probability) (π¨βπ» 500 Β· π 1.1K Β· π¦ 2 Β· π 1.4K - 47% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/tensorflow/probability
```
-- [PyPi](https://pypi.org/project/tensorflow-probability) (π₯ 1.5M / month Β· π¦ 610 Β· β±οΈ 12.03.2024):
+- [PyPi](https://pypi.org/project/tensorflow-probability) (π₯ 1.4M / month Β· π¦ 610 Β· β±οΈ 12.03.2024):
```
pip install tensorflow-probability
```
@@ -6596,12 +6526,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Pyro (π₯34 Β· β 8.5K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2
-- [GitHub](https://github.com/pyro-ppl/pyro) (π¨βπ» 160 Β· π 980 Β· π 1.1K - 23% open Β· β±οΈ 24.10.2024):
+- [GitHub](https://github.com/pyro-ppl/pyro) (π¨βπ» 160 Β· π 980 Β· π 1.1K - 23% open Β· β±οΈ 02.11.2024):
```
git clone https://github.com/pyro-ppl/pyro
```
-- [PyPi](https://pypi.org/project/pyro-ppl) (π₯ 370K / month Β· π¦ 190 Β· β±οΈ 02.06.2024):
+- [PyPi](https://pypi.org/project/pyro-ppl) (π₯ 360K / month Β· π¦ 190 Β· β±οΈ 02.06.2024):
```
pip install pyro-ppl
```
@@ -6629,7 +6559,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/cornellius-gp/gpytorch
```
-- [PyPi](https://pypi.org/project/gpytorch) (π₯ 280K / month Β· π¦ 170 Β· β±οΈ 06.09.2024):
+- [PyPi](https://pypi.org/project/gpytorch) (π₯ 270K / month Β· π¦ 170 Β· β±οΈ 06.09.2024):
```
pip install gpytorch
```
@@ -6645,23 +6575,23 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/hmmlearn/hmmlearn
```
-- [PyPi](https://pypi.org/project/hmmlearn) (π₯ 430K / month Β· π¦ 92 Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/hmmlearn) (π₯ 280K / month Β· π¦ 92 Β· β±οΈ 31.10.2024):
```
pip install hmmlearn
```
-- [Conda](https://anaconda.org/conda-forge/hmmlearn) (π₯ 290K Β· β±οΈ 11.09.2024):
+- [Conda](https://anaconda.org/conda-forge/hmmlearn) (π₯ 290K Β· β±οΈ 31.10.2024):
```
conda install -c conda-forge hmmlearn
```
emcee (π₯31 Β· β 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT
-- [GitHub](https://github.com/dfm/emcee) (π¨βπ» 74 Β· π 430 Β· π¦ 2.7K Β· π 300 - 19% open Β· β±οΈ 10.10.2024):
+- [GitHub](https://github.com/dfm/emcee) (π¨βπ» 74 Β· π 430 Β· π¦ 2.7K Β· π 300 - 19% open Β· β±οΈ 03.11.2024):
```
git clone https://github.com/dfm/emcee
```
-- [PyPi](https://pypi.org/project/emcee) (π₯ 730K / month Β· π¦ 440 Β· β±οΈ 19.04.2024):
+- [PyPi](https://pypi.org/project/emcee) (π₯ 520K / month Β· π¦ 440 Β· β±οΈ 19.04.2024):
```
pip install emcee
```
@@ -6677,7 +6607,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/SALib/SALib
```
-- [PyPi](https://pypi.org/project/salib) (π₯ 350K / month Β· π¦ 130 Β· β±οΈ 19.08.2024):
+- [PyPi](https://pypi.org/project/salib) (π₯ 390K / month Β· π¦ 130 Β· β±οΈ 19.08.2024):
```
pip install salib
```
@@ -6686,14 +6616,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge salib
```
pandas-ta (π₯30 Β· β 5.4K) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT
+pandas-ta (π₯30 Β· β 5.4K) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT
- [GitHub](https://github.com/twopirllc/pandas-ta) (π¨βπ» 45 Β· π 1K Β· π¦ 4.3K Β· π 600 - 19% open Β· β±οΈ 24.06.2024):
```
git clone https://github.com/twopirllc/pandas-ta
```
-- [PyPi](https://pypi.org/project/pandas-ta) (π₯ 170K / month Β· π¦ 120 Β· β±οΈ 28.07.2021):
+- [PyPi](https://pypi.org/project/pandas-ta) (π₯ 180K / month Β· π¦ 120 Β· β±οΈ 28.07.2021):
```
pip install pandas-ta
```
@@ -6702,23 +6632,23 @@ _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
+GPflow (π₯30 Β· β 1.8K) - Gaussian processes in TensorFlow. Apache-2
- [GitHub](https://github.com/GPflow/GPflow) (π¨βπ» 84 Β· π 440 Β· π¦ 700 Β· π 840 - 18% open Β· β±οΈ 04.10.2024):
```
git clone https://github.com/GPflow/GPflow
```
-- [PyPi](https://pypi.org/project/gpflow) (π₯ 69K / month Β· π¦ 35 Β· β±οΈ 17.06.2024):
+- [PyPi](https://pypi.org/project/gpflow) (π₯ 66K / month Β· π¦ 35 Β· β±οΈ 17.06.2024):
```
pip install gpflow
```
-- [Conda](https://anaconda.org/conda-forge/gpflow) (π₯ 35K Β· β±οΈ 26.06.2024):
+- [Conda](https://anaconda.org/conda-forge/gpflow) (π₯ 36K Β· β±οΈ 26.06.2024):
```
conda install -c conda-forge gpflow
```
patsy (π₯30 Β· β 950 Β· π€) - Describing statistical models in Python using symbolic formulas. BSD-2
+patsy (π₯30 Β· β 950 Β· π€) - Describing statistical models in Python using symbolic formulas. BSD-2
- [GitHub](https://github.com/pydata/patsy) (π¨βπ» 19 Β· π 100 Β· π¦ 110K Β· π 160 - 47% open Β· β±οΈ 04.01.2024):
@@ -6741,7 +6671,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/stan-dev/pystan
```
-- [PyPi](https://pypi.org/project/pystan) (π₯ 710K / month Β· π¦ 160 Β· β±οΈ 03.07.2024):
+- [PyPi](https://pypi.org/project/pystan) (π₯ 700K / month Β· π¦ 160 Β· β±οΈ 03.07.2024):
```
pip install pystan
```
@@ -6757,7 +6687,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/jmschrei/pomegranate
```
-- [PyPi](https://pypi.org/project/pomegranate) (π₯ 24K / month Β· π¦ 59 Β· β±οΈ 18.10.2024):
+- [PyPi](https://pypi.org/project/pomegranate) (π₯ 23K / month Β· π¦ 59 Β· β±οΈ 18.10.2024):
```
pip install pomegranate
```
@@ -6768,12 +6698,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
bambi (π₯26 Β· β 1.1K) - BAyesian Model-Building Interface (Bambi) in Python. MIT
-- [GitHub](https://github.com/bambinos/bambi) (π¨βπ» 40 Β· π 120 Β· π¦ 150 Β· π 420 - 19% open Β· β±οΈ 26.09.2024):
+- [GitHub](https://github.com/bambinos/bambi) (π¨βπ» 40 Β· π 120 Β· π¦ 160 Β· π 420 - 19% open Β· β±οΈ 26.09.2024):
```
git clone https://github.com/bambinos/bambi
```
-- [PyPi](https://pypi.org/project/bambi) (π₯ 33K / month Β· π¦ 10 Β· β±οΈ 10.07.2024):
+- [PyPi](https://pypi.org/project/bambi) (π₯ 30K / month Β· π¦ 10 Β· β±οΈ 10.07.2024):
```
pip install bambi
```
@@ -6784,12 +6714,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
scikit-posthocs (π₯26 Β· β 350) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT
-- [GitHub](https://github.com/maximtrp/scikit-posthocs) (π¨βπ» 15 Β· π 40 Β· π₯ 64 Β· π¦ 870 Β· π 62 - 9% open Β· β±οΈ 26.10.2024):
+- [GitHub](https://github.com/maximtrp/scikit-posthocs) (π¨βπ» 15 Β· π 40 Β· π₯ 65 Β· π¦ 880 Β· π 62 - 9% open Β· β±οΈ 26.10.2024):
```
git clone https://github.com/maximtrp/scikit-posthocs
```
-- [PyPi](https://pypi.org/project/scikit-posthocs) (π₯ 78K / month Β· π¦ 54 Β· β±οΈ 20.10.2024):
+- [PyPi](https://pypi.org/project/scikit-posthocs) (π₯ 77K / month Β· π¦ 54 Β· β±οΈ 20.10.2024):
```
pip install scikit-posthocs
```
@@ -6817,7 +6747,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/baal-org/baal
```
-- [PyPi](https://pypi.org/project/baal) (π₯ 5.7K / month Β· π¦ 2 Β· β±οΈ 11.06.2024):
+- [PyPi](https://pypi.org/project/baal) (π₯ 5.4K / month Β· π¦ 2 Β· β±οΈ 11.06.2024):
```
pip install baal
```
@@ -6826,10 +6756,22 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge baal
```
TorchUncertainty (π₯22 Β· β 300 Β· β) - Open-source framework for uncertainty and deep.. Apache-2
+
+- [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (π¨βπ» 9 Β· π 19 Β· π 37 - 29% open Β· β±οΈ 22.10.2024):
+
+ ```
+ git clone https://github.com/ENSTA-U2IS-AI/torch-uncertainty
+ ```
+- [PyPi](https://pypi.org/project/torch-uncertainty) (π₯ 1.2K / month Β· π¦ 3 Β· β±οΈ 22.10.2024):
+ ```
+ pip install torch-uncertainty
+ ```
+Show 6 hidden projects...
-- filterpy (π₯31 Β· β 3.3K Β· π) - Python Kalman filtering and optimal estimation library. Implements.. MIT
-- pingouin (π₯30 Β· β 1.6K) - Statistical package in Python based on Pandas. βοΈGPL-3.0
+- filterpy (π₯32 Β· β 3.4K Β· π) - Python Kalman filtering and optimal estimation library. Implements.. MIT
+- pingouin (π₯30 Β· β 1.6K) - Statistical package in Python based on Pandas. βοΈGPL-3.0
- Edward (π₯28 Β· β 4.8K Β· π) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 MIT
- Funsor (π₯20 Β· β 240 Β· π) - Functional tensors for probabilistic programming. Apache-2 ART (π₯35 Β· β 4.8K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT
+ART (π₯35 Β· β 4.9K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT
-- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (π¨βπ» 140 Β· π 1.2K Β· π¦ 600 Β· π 900 - 15% open Β· β±οΈ 22.10.2024):
+- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (π¨βπ» 140 Β· π 1.2K Β· π¦ 610 Β· π 900 - 15% open Β· β±οΈ 22.10.2024):
```
git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox
```
-- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (π₯ 93K / month Β· π¦ 20 Β· β±οΈ 02.10.2024):
+- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (π₯ 100K / month Β· π¦ 20 Β· β±οΈ 02.10.2024):
```
pip install adversarial-robustness-toolbox
```
@@ -6866,11 +6808,11 @@ _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₯ 6.4K / month Β· π¦ 11 Β· β±οΈ 11.03.2024):
+- [PyPi](https://pypi.org/project/textattack) (π₯ 6.1K / month Β· π¦ 11 Β· β±οΈ 11.03.2024):
```
pip install textattack
```
-- [Conda](https://anaconda.org/conda-forge/textattack) (π₯ 8.7K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/textattack) (π₯ 8.8K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge textattack
```
@@ -6882,7 +6824,7 @@ _Libraries for testing the robustness of machine learning models against attacks
```
git clone https://github.com/bethgelab/foolbox
```
-- [PyPi](https://pypi.org/project/foolbox) (π₯ 7.4K / month Β· π¦ 14 Β· β±οΈ 04.03.2024):
+- [PyPi](https://pypi.org/project/foolbox) (π₯ 6.5K / month Β· π¦ 14 Β· β±οΈ 04.03.2024):
```
pip install foolbox
```
@@ -6908,34 +6850,14 @@ _Libraries for testing the robustness of machine learning models against attacks
_Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks._
-CuPy (π₯39 Β· β 9.4K) - NumPy & SciPy for GPU. MIT
-
-- [GitHub](https://github.com/cupy/cupy) (π¨βπ» 390 Β· π 820 Β· π₯ 190K Β· π¦ 2.3K Β· π 2.4K - 26% open Β· β±οΈ 31.10.2024):
-
- ```
- git clone https://github.com/cupy/cupy
- ```
-- [PyPi](https://pypi.org/project/cupy) (π₯ 50K / month Β· π¦ 270 Β· β±οΈ 22.08.2024):
- ```
- pip install cupy
- ```
-- [Conda](https://anaconda.org/conda-forge/cupy) (π₯ 4.9M Β· β±οΈ 18.10.2024):
- ```
- conda install -c conda-forge cupy
- ```
-- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (π₯ 69K Β· β 13 Β· β±οΈ 22.08.2024):
- ```
- docker pull cupy/cupy
- ```
-optimum (π₯36 Β· β 2.5K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2
+optimum (π₯36 Β· β 2.6K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2
-- [GitHub](https://github.com/huggingface/optimum) (π¨βπ» 130 Β· π 460 Β· π¦ 3.7K Β· π 850 - 49% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/huggingface/optimum) (π¨βπ» 130 Β· π 460 Β· π¦ 3.8K Β· π 850 - 49% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/huggingface/optimum
```
-- [PyPi](https://pypi.org/project/optimum) (π₯ 960K / month Β· π¦ 180 Β· β±οΈ 29.10.2024):
+- [PyPi](https://pypi.org/project/optimum) (π₯ 930K / month Β· π¦ 180 Β· β±οΈ 29.10.2024):
```
pip install optimum
```
@@ -6944,59 +6866,59 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
conda install -c conda-forge optimum
```
cuDF (π₯35 Β· β 8.4K) - cuDF - GPU DataFrame Library. Apache-2
+cuDF (π₯35 Β· β 8.4K) - cuDF - GPU DataFrame Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 300 Β· π 890 Β· π¦ 57 Β· π 6.6K - 16% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 300 Β· π 900 Β· π¦ 57 Β· π 6.6K - 16% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/rapidsai/cudf
```
-- [PyPi](https://pypi.org/project/cudf) (π₯ 3.4K / month Β· π¦ 22 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cudf) (π₯ 3.5K / month Β· π¦ 22 Β· β±οΈ 01.06.2020):
```
pip install cudf
```
PyCUDA (π₯32 Β· β 1.8K) - CUDA integration for Python, plus shiny features. MIT
-- [GitHub](https://github.com/inducer/pycuda) (π¨βπ» 82 Β· π 280 Β· π¦ 3.2K Β· π 280 - 30% open Β· β±οΈ 17.10.2024):
+- [GitHub](https://github.com/inducer/pycuda) (π¨βπ» 82 Β· π 280 Β· π¦ 3.2K Β· π 280 - 30% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/inducer/pycuda
```
-- [PyPi](https://pypi.org/project/pycuda) (π₯ 110K / month Β· π¦ 160 Β· β±οΈ 30.07.2024):
+- [PyPi](https://pypi.org/project/pycuda) (π₯ 93K / month Β· π¦ 160 Β· β±οΈ 30.07.2024):
```
pip install pycuda
```
-- [Conda](https://anaconda.org/conda-forge/pycuda) (π₯ 610K Β· β±οΈ 17.08.2024):
+- [Conda](https://anaconda.org/conda-forge/pycuda) (π₯ 620K Β· β±οΈ 17.08.2024):
```
conda install -c conda-forge pycuda
```
cuML (π₯31 Β· β 4.2K) - cuML - RAPIDS Machine Learning Library. Apache-2
+Apex (π₯31 Β· β 8.4K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3
-- [GitHub](https://github.com/rapidsai/cuml) (π¨βπ» 180 Β· π 530 Β· π 2.5K - 36% open Β· β±οΈ 25.10.2024):
+- [GitHub](https://github.com/NVIDIA/apex) (π¨βπ» 130 Β· π 1.4K Β· π¦ 2.8K Β· π 1.3K - 58% open Β· β±οΈ 01.11.2024):
```
- git clone https://github.com/rapidsai/cuml
+ git clone https://github.com/NVIDIA/apex
```
-- [PyPi](https://pypi.org/project/cuml) (π₯ 3.2K / month Β· π¦ 14 Β· β±οΈ 01.06.2020):
+- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (π₯ 350K Β· β±οΈ 04.11.2024):
```
- pip install cuml
+ conda install -c conda-forge nvidia-apex
```
Apex (π₯30 Β· β 8.4K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3
+cuML (π₯31 Β· β 4.2K) - cuML - RAPIDS Machine Learning Library. Apache-2
-- [GitHub](https://github.com/NVIDIA/apex) (π¨βπ» 130 Β· π 1.4K Β· π¦ 2.8K Β· π 1.3K - 58% open Β· β±οΈ 17.10.2024):
+- [GitHub](https://github.com/rapidsai/cuml) (π¨βπ» 180 Β· π 530 Β· π 2.5K - 36% open Β· β±οΈ 04.11.2024):
```
- git clone https://github.com/NVIDIA/apex
+ git clone https://github.com/rapidsai/cuml
```
-- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (π₯ 340K Β· β±οΈ 10.09.2024):
+- [PyPi](https://pypi.org/project/cuml) (π₯ 3.3K / month Β· π¦ 14 Β· β±οΈ 01.06.2020):
```
- conda install -c conda-forge nvidia-apex
+ pip install cuml
```
gpustat (π₯30 Β· β 4.1K Β· π€) - A simple command-line utility for querying and monitoring GPU status. MIT
+gpustat (π₯29 Β· β 4.1K Β· π€) - A simple command-line utility for querying and monitoring GPU status. MIT
- [GitHub](https://github.com/wookayin/gpustat) (π¨βπ» 17 Β· π 280 Β· π¦ 6.2K Β· π 120 - 22% open Β· β±οΈ 12.01.2024):
@@ -7014,17 +6936,37 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
ArrayFire (π₯28 Β· β 4.6K) - ArrayFire: a general purpose GPU library. BSD-3
-- [GitHub](https://github.com/arrayfire/arrayfire) (π¨βπ» 94 Β· π 530 Β· π₯ 7.2K Β· π 1.7K - 19% open Β· β±οΈ 23.10.2024):
+- [GitHub](https://github.com/arrayfire/arrayfire) (π¨βπ» 94 Β· π 530 Β· π₯ 7.2K Β· π 1.7K - 19% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/arrayfire/arrayfire
```
-- [PyPi](https://pypi.org/project/arrayfire) (π₯ 6.5K / month Β· π¦ 10 Β· β±οΈ 22.02.2022):
+- [PyPi](https://pypi.org/project/arrayfire) (π₯ 6K / month Β· π¦ 10 Β· β±οΈ 22.02.2022):
```
pip install arrayfire
```
cuGraph (π₯27 Β· β 1.7K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2
+CuPy (π₯27 Β· β 8.1K Β· π) - NumPy & SciPy for GPU. MIT
+
+- [GitHub](https://github.com/cupy/cupy) (π¨βπ» 320 Β· π 800):
+
+ ```
+ git clone https://github.com/cupy/cupy
+ ```
+- [PyPi](https://pypi.org/project/cupy) (π₯ 53K / month Β· π¦ 270 Β· β±οΈ 22.08.2024):
+ ```
+ pip install cupy
+ ```
+- [Conda](https://anaconda.org/conda-forge/cupy) (π₯ 5M Β· β±οΈ 18.10.2024):
+ ```
+ conda install -c conda-forge cupy
+ ```
+- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (π₯ 70K Β· β 13 Β· β±οΈ 22.08.2024):
+ ```
+ docker pull cupy/cupy
+ ```
+cuGraph (π₯27 Β· β 1.7K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2
- [GitHub](https://github.com/rapidsai/cugraph) (π¨βπ» 120 Β· π 300 Β· π 1.8K - 10% open Β· β±οΈ 30.10.2024):
@@ -7035,31 +6977,19 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
pip install cugraph
```
-- [Conda](https://anaconda.org/conda-forge/libcugraph) (π₯ 24K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/libcugraph) (π₯ 25K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge libcugraph
```
DALI (π₯25 Β· β 5.1K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2
-- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 94 Β· π 620 Β· π 1.6K - 14% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 94 Β· π 620 Β· π 1.6K - 14% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/NVIDIA/DALI
```
scikit-cuda (π₯24 Β· β 990 Β· π€) - Python interface to GPU-powered libraries. BSD-3
-
-- [GitHub](https://github.com/lebedov/scikit-cuda) (π¨βπ» 44 Β· π 170 Β· π¦ 310 Β· π 220 - 23% open Β· β±οΈ 15.10.2023):
-
- ```
- git clone https://github.com/lebedov/scikit-cuda
- ```
-- [PyPi](https://pypi.org/project/scikit-cuda) (π₯ 700 / month Β· π¦ 23 Β· β±οΈ 27.05.2019):
- ```
- pip install scikit-cuda
- ```
-Vulkan Kompute (π₯23 Β· β 2K) - General purpose GPU compute framework built on Vulkan to.. Apache-2
- [GitHub](https://github.com/KomputeProject/kompute) (π¨βπ» 29 Β· π 140 Β· π₯ 600 Β· π 220 - 32% open Β· β±οΈ 18.10.2024):
@@ -7067,7 +6997,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
git clone https://github.com/KomputeProject/kompute
```
-- [PyPi](https://pypi.org/project/kp) (π₯ 820 / month Β· β±οΈ 20.01.2024):
+- [PyPi](https://pypi.org/project/kp) (π₯ 650 / month Β· β±οΈ 20.01.2024):
```
pip install kp
```
@@ -7079,18 +7009,19 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
git clone https://github.com/NVIDIA-Merlin/Merlin
```
-- [PyPi](https://pypi.org/project/merlin-core) (π₯ 11K / month Β· π¦ 1 Β· β±οΈ 29.08.2023):
+- [PyPi](https://pypi.org/project/merlin-core) (π₯ 10K / month Β· π¦ 1 Β· β±οΈ 29.08.2023):
```
pip install merlin-core
```
Show 7 hidden projects...
+Show 8 hidden projects...
- GPUtil (π₯25 Β· β 1.1K Β· π) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT
+- scikit-cuda (π₯24 Β· β 990 Β· π) - Python interface to GPU-powered libraries. BSD-3
- py3nvml (π₯22 Β· β 240 Β· π) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3
- BlazingSQL (π₯20 Β· β 1.9K Β· π) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2
- nvidia-ml-py3 (π₯18 Β· β 130) - Python 3 Bindings for the NVIDIA Management Library. BSD-3
-- ipyexperiments (π₯17 Β· β 200 Β· π€) - Automatic GPU+CPU memory profiling, re-use and memory.. Apache-2 Apache-2 Apache-2
- SpeedTorch (π₯16 Β· β 680 Β· π) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT TensorFlow Datasets (π₯39 Β· β 4.3K) - TFDS is a collection of datasets ready to use with.. Apache-2
-- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 330 Β· π 1.5K Β· π¦ 20K Β· π 1.4K - 48% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 340 Β· π 1.5K Β· π¦ 20K Β· π 1.4K - 48% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/tensorflow/datasets
@@ -7118,14 +7049,14 @@ _Libraries that extend TensorFlow with additional capabilities._
conda install -c conda-forge tensorflow-datasets
```
TFX (π₯35 Β· β 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2
+TFX (π₯34 Β· β 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2
-- [GitHub](https://github.com/tensorflow/tfx) (π¨βπ» 190 Β· π 700 Β· π¦ 1.6K Β· π 1.1K - 22% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/tensorflow/tfx) (π¨βπ» 190 Β· π 700 Β· π¦ 1.6K Β· π 1.1K - 22% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/tensorflow/tfx
```
-- [PyPi](https://pypi.org/project/tfx) (π₯ 38K / month Β· π¦ 17 Β· β±οΈ 13.05.2024):
+- [PyPi](https://pypi.org/project/tfx) (π₯ 40K / month Β· π¦ 17 Β· β±οΈ 13.05.2024):
```
pip install tfx
```
@@ -7146,7 +7077,7 @@ _Libraries that extend TensorFlow with additional capabilities._
conda install -c conda-forge tensorflow-hub
```
TF Addons (π₯32 Β· β 1.7K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2
+TF Addons (π₯32 Β· β 1.7K Β· π€) - Useful extra functionality for TensorFlow 2.x maintained.. Apache-2
- [GitHub](https://github.com/tensorflow/addons) (π¨βπ» 210 Β· π 610 Β· π 990 - 9% open Β· β±οΈ 15.04.2024):
@@ -7172,12 +7103,12 @@ _Libraries that extend TensorFlow with additional capabilities._
TF Model Optimization (π₯28 Β· β 1.5K) - A toolkit to optimize ML models for deployment for.. Apache-2
-- [GitHub](https://github.com/tensorflow/model-optimization) (π¨βπ» 86 Β· π 320 Β· π 390 - 57% open Β· β±οΈ 25.09.2024):
+- [GitHub](https://github.com/tensorflow/model-optimization) (π¨βπ» 86 Β· π 320 Β· π 390 - 57% open Β· β±οΈ 04.11.2024):
```
git clone https://github.com/tensorflow/model-optimization
```
-- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (π₯ 790K / month Β· π¦ 45 Β· β±οΈ 08.02.2024):
+- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (π₯ 750K / month Β· π¦ 45 Β· β±οΈ 08.02.2024):
```
pip install tensorflow-model-optimization
```
@@ -7189,7 +7120,7 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/transform
```
-- [PyPi](https://pypi.org/project/tensorflow-transform) (π₯ 590K / month Β· π¦ 18 Β· β±οΈ 28.10.2024):
+- [PyPi](https://pypi.org/project/tensorflow-transform) (π₯ 580K / month Β· π¦ 18 Β· β±οΈ 28.10.2024):
```
pip install tensorflow-transform
```
@@ -7201,7 +7132,7 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/neural-structured-learning
```
-- [PyPi](https://pypi.org/project/neural-structured-learning) (π₯ 6.3K / month Β· π¦ 3 Β· β±οΈ 29.07.2022):
+- [PyPi](https://pypi.org/project/neural-structured-learning) (π₯ 6K / month Β· π¦ 3 Β· β±οΈ 29.07.2022):
```
pip install neural-structured-learning
```
@@ -7213,19 +7144,19 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/PAIR-code/saliency
```
-- [PyPi](https://pypi.org/project/saliency) (π₯ 48K / month Β· π¦ 8 Β· β±οΈ 20.03.2024):
+- [PyPi](https://pypi.org/project/saliency) (π₯ 47K / month Β· π¦ 8 Β· β±οΈ 20.03.2024):
```
pip install saliency
```
TF Compression (π₯22 Β· β 860) - Data compression in TensorFlow. Apache-2
+TF Compression (π₯21 Β· β 860) - Data compression in TensorFlow. Apache-2
- [GitHub](https://github.com/tensorflow/compression) (π¨βπ» 21 Β· π 250 Β· π 100 - 10% open Β· β±οΈ 10.10.2024):
```
git clone https://github.com/tensorflow/compression
```
-- [PyPi](https://pypi.org/project/tensorflow-compression) (π₯ 5K / month Β· π¦ 2 Β· β±οΈ 02.02.2024):
+- [PyPi](https://pypi.org/project/tensorflow-compression) (π₯ 4.8K / month Β· π¦ 2 Β· β±οΈ 02.02.2024):
```
pip install tensorflow-compression
```
@@ -7237,14 +7168,14 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/cloud
```
-- [PyPi](https://pypi.org/project/tensorflow-cloud) (π₯ 33K / month Β· π¦ 7 Β· β±οΈ 17.06.2021):
+- [PyPi](https://pypi.org/project/tensorflow-cloud) (π₯ 32K / month Β· π¦ 7 Β· β±οΈ 17.06.2021):
```
pip install tensorflow-cloud
```
Show 5 hidden projects...
-- tensor2tensor (π₯33 Β· β 15K Β· π) - Library of deep learning models and datasets designed.. Apache-2 Apache-2 MIT Apache-2 MIT equinox (π₯31 Β· β 2.1K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2
-- [GitHub](https://github.com/patrick-kidger/equinox) (π¨βπ» 56 Β· π 140 Β· π¦ 810 Β· π 450 - 34% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/patrick-kidger/equinox) (π¨βπ» 56 Β· π 140 Β· π¦ 820 Β· π 460 - 34% open Β· β±οΈ 31.10.2024):
```
git clone https://github.com/patrick-kidger/equinox
@@ -7277,7 +7208,7 @@ _Libraries that extend Jax with additional capabilities._
```
git clone https://github.com/google/evojax
```
-- [PyPi](https://pypi.org/project/evojax) (π₯ 2.8K / month Β· π¦ 6 Β· β±οΈ 18.06.2024):
+- [PyPi](https://pypi.org/project/evojax) (π₯ 2.6K / month Β· π¦ 6 Β· β±οΈ 18.06.2024):
```
pip install evojax
```
@@ -7300,7 +7231,7 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-learn-intelex (π₯35 Β· β 1.2K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2
-- [GitHub](https://github.com/intel/scikit-learn-intelex) (π¨βπ» 82 Β· π 170 Β· π¦ 12K Β· π 280 - 29% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/intel/scikit-learn-intelex) (π¨βπ» 83 Β· π 170 Β· π¦ 12K Β· π 280 - 29% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/intel/scikit-learn-intelex
@@ -7314,36 +7245,36 @@ _Libraries that extend scikit-learn with additional capabilities._
conda install -c conda-forge scikit-learn-intelex
```
imbalanced-learn (π₯33 Β· β 6.8K) - A Python Package to Tackle the Curse of Imbalanced.. MIT
+MLxtend (π₯34 Β· β 4.9K Β· π) - A library of extension and helper modules for Pythons data.. BSD-3
-- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (π¨βπ» 85 Β· π 1.3K Β· π 610 - 7% open Β· β±οΈ 06.10.2024):
+- [GitHub](https://github.com/rasbt/mlxtend) (π¨βπ» 110 Β· π 870 Β· π¦ 16K Β· π 490 - 29% open Β· β±οΈ 05.11.2024):
```
- git clone https://github.com/scikit-learn-contrib/imbalanced-learn
+ git clone https://github.com/rasbt/mlxtend
```
-- [PyPi](https://pypi.org/project/imbalanced-learn) (π₯ 19M / month Β· π¦ 450 Β· β±οΈ 04.10.2024):
+- [PyPi](https://pypi.org/project/mlxtend) (π₯ 600K / month Β· π¦ 190 Β· β±οΈ 05.11.2024):
```
- pip install imbalanced-learn
+ pip install mlxtend
```
-- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (π₯ 630K Β· β±οΈ 04.10.2024):
+- [Conda](https://anaconda.org/conda-forge/mlxtend) (π₯ 330K Β· β±οΈ 05.11.2024):
```
- conda install -c conda-forge imbalanced-learn
+ conda install -c conda-forge mlxtend
```
MLxtend (π₯32 Β· β 4.9K) - A library of extension and helper modules for Pythons data.. BSD-3
+imbalanced-learn (π₯33 Β· β 6.8K) - A Python Package to Tackle the Curse of Imbalanced.. MIT
-- [GitHub](https://github.com/rasbt/mlxtend) (π¨βπ» 110 Β· π 860 Β· π¦ 16K Β· π 490 - 30% open Β· β±οΈ 23.10.2024):
+- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (π¨βπ» 85 Β· π 1.3K Β· π 610 - 7% open Β· β±οΈ 06.10.2024):
```
- git clone https://github.com/rasbt/mlxtend
+ git clone https://github.com/scikit-learn-contrib/imbalanced-learn
```
-- [PyPi](https://pypi.org/project/mlxtend) (π₯ 580K / month Β· π¦ 180 Β· β±οΈ 05.01.2024):
+- [PyPi](https://pypi.org/project/imbalanced-learn) (π₯ 18M / month Β· π¦ 450 Β· β±οΈ 04.10.2024):
```
- pip install mlxtend
+ pip install imbalanced-learn
```
-- [Conda](https://anaconda.org/conda-forge/mlxtend) (π₯ 330K Β· β±οΈ 05.01.2024):
+- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (π₯ 630K Β· β±οΈ 04.10.2024):
```
- conda install -c conda-forge mlxtend
+ conda install -c conda-forge imbalanced-learn
```
category_encoders (π₯32 Β· β 2.4K) - A library of sklearn compatible categorical variable.. BSD-3
@@ -7364,16 +7295,16 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-lego (π₯27 Β· β 1.3K) - Extra blocks for scikit-learn pipelines. MIT
-- [GitHub](https://github.com/koaning/scikit-lego) (π¨βπ» 67 Β· π 120 Β· π¦ 160 Β· π 320 - 10% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/koaning/scikit-lego) (π¨βπ» 67 Β· π 120 Β· π¦ 160 Β· π 320 - 11% open Β· β±οΈ 31.10.2024):
```
git clone https://github.com/koaning/scikit-lego
```
-- [PyPi](https://pypi.org/project/scikit-lego) (π₯ 28K / month Β· π¦ 13 Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/scikit-lego) (π₯ 29K / month Β· π¦ 13 Β· β±οΈ 31.10.2024):
```
pip install scikit-lego
```
-- [Conda](https://anaconda.org/conda-forge/scikit-lego) (π₯ 57K Β· β±οΈ 10.07.2024):
+- [Conda](https://anaconda.org/conda-forge/scikit-lego) (π₯ 58K Β· β±οΈ 10.07.2024):
```
conda install -c conda-forge scikit-lego
```
@@ -7385,7 +7316,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/guofei9987/scikit-opt
```
-- [PyPi](https://pypi.org/project/scikit-opt) (π₯ 6.5K / month Β· π¦ 15 Β· β±οΈ 14.01.2022):
+- [PyPi](https://pypi.org/project/scikit-opt) (π₯ 5.3K / month Β· π¦ 15 Β· β±οΈ 14.01.2022):
```
pip install scikit-opt
```
@@ -7397,12 +7328,12 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/trent-b/iterative-stratification
```
-- [PyPi](https://pypi.org/project/iterative-stratification) (π₯ 35K / month Β· π¦ 15 Β· β±οΈ 12.10.2024):
+- [PyPi](https://pypi.org/project/iterative-stratification) (π₯ 36K / month Β· π¦ 15 Β· β±οΈ 12.10.2024):
```
pip install iterative-stratification
```
dabl (π₯21 Β· β 720) - Data Analysis Baseline Library. BSD-3
+dabl (π₯20 Β· β 720) - Data Analysis Baseline Library. BSD-3
- [GitHub](https://github.com/amueller/dabl) (π¨βπ» 24 Β· π 110 Β· β±οΈ 07.08.2024):
@@ -7416,24 +7347,24 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-tda (π₯19 Β· β 530) - Topological Data Analysis for Python. MIT
-- [GitHub](https://github.com/scikit-tda/scikit-tda) (π¨βπ» 6 Β· π 54 Β· π¦ 62 Β· π 22 - 18% open Β· β±οΈ 19.07.2024):
+- [GitHub](https://github.com/scikit-tda/scikit-tda) (π¨βπ» 6 Β· π 54 Β· π¦ 63 Β· π 22 - 18% open Β· β±οΈ 19.07.2024):
```
git clone https://github.com/scikit-tda/scikit-tda
```
-- [PyPi](https://pypi.org/project/scikit-tda) (π₯ 1.3K / month Β· β±οΈ 19.07.2024):
+- [PyPi](https://pypi.org/project/scikit-tda) (π₯ 1.4K / month Β· β±οΈ 19.07.2024):
```
pip install scikit-tda
```
DESlib (π₯18 Β· β 480) - A Python library for dynamic classifier and ensemble selection. BSD-3
+DESlib (π₯18 Β· β 480 Β· π€) - A Python library for dynamic classifier and ensemble selection. BSD-3
- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (π¨βπ» 17 Β· π 100 Β· π 160 - 11% open Β· β±οΈ 15.04.2024):
```
git clone https://github.com/scikit-learn-contrib/DESlib
```
-- [PyPi](https://pypi.org/project/deslib) (π₯ 2.4K / month Β· π¦ 3 Β· β±οΈ 12.04.2024):
+- [PyPi](https://pypi.org/project/deslib) (π₯ 3.2K / month Β· π¦ 3 Β· β±οΈ 12.04.2024):
```
pip install deslib
```
@@ -7441,13 +7372,13 @@ _Libraries that extend scikit-learn with additional capabilities._
Show 9 hidden projects...
- scikit-survival (π₯31 Β· β 1.1K) - Survival analysis built on top of scikit-learn. βοΈGPL-3.0 Apache-2 Apache-2 BSD-2 MIT BSD-3 BSD-2 xgboost
- skope-rules (π₯21 Β· β 620 Β· π) - machine learning with logical rules in Python. βοΈBSD-1-Clause BSD-3 BSD-3 MIT
@@ -7460,36 +7391,28 @@ _Libraries that extend Pytorch with additional capabilities._
accelerate (π₯40 Β· β 7.9K) - A simple way to launch, train, and use PyTorch models on.. Apache-2
-- [GitHub](https://github.com/huggingface/accelerate) (π¨βπ» 300 Β· π 960 Β· π¦ 56K Β· π 1.6K - 7% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/huggingface/accelerate) (π¨βπ» 300 Β· π 960 Β· π¦ 57K Β· π 1.6K - 7% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/huggingface/accelerate
```
-- [PyPi](https://pypi.org/project/accelerate) (π₯ 7.8M / month Β· π¦ 1.5K Β· β±οΈ 12.10.2024):
+- [PyPi](https://pypi.org/project/accelerate) (π₯ 7.9M / month Β· π¦ 1.6K Β· β±οΈ 07.11.2024):
```
pip install accelerate
```
-- [Conda](https://anaconda.org/conda-forge/accelerate) (π₯ 230K Β· β±οΈ 12.10.2024):
+- [Conda](https://anaconda.org/conda-forge/accelerate) (π₯ 240K Β· β±οΈ 12.10.2024):
```
conda install -c conda-forge accelerate
```
tinygrad (π₯33 Β· β 27K) - You like pytorch? You like micrograd? You love tinygrad!. MIT
-
-- [GitHub](https://github.com/tinygrad/tinygrad) (π¨βπ» 350 Β· π 2.9K Β· π¦ 120 Β· π 780 - 15% open Β· β±οΈ 31.10.2024):
-
- ```
- git clone https://github.com/geohot/tinygrad
- ```
-PML (π₯32 Β· β 6K) - The easiest way to use deep metric learning in your application. Modular,.. MIT
+PML (π₯34 Β· β 6K Β· π) - The easiest way to use deep metric learning in your application... MIT
-- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (π¨βπ» 42 Β· π 660 Β· π¦ 2K Β· π 510 - 12% open Β· β±οΈ 11.09.2024):
+- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (π¨βπ» 43 Β· π 660 Β· π¦ 2K Β· π 520 - 13% open Β· β±οΈ 02.11.2024):
```
git clone https://github.com/KevinMusgrave/pytorch-metric-learning
```
-- [PyPi](https://pypi.org/project/pytorch-metric-learning) (π₯ 760K / month Β· π¦ 50 Β· β±οΈ 25.07.2024):
+- [PyPi](https://pypi.org/project/pytorch-metric-learning) (π₯ 790K / month Β· π¦ 54 Β· β±οΈ 02.11.2024):
```
pip install pytorch-metric-learning
```
@@ -7498,36 +7421,12 @@ _Libraries that extend Pytorch with additional capabilities._
conda install -c metric-learning pytorch-metric-learning
```
torchdiffeq (π₯31 Β· β 5.6K Β· π€) - Differentiable ODE solvers with full GPU support and.. MIT
-
-- [GitHub](https://github.com/rtqichen/torchdiffeq) (π¨βπ» 21 Β· π 910 Β· π¦ 4K Β· π 220 - 33% open Β· β±οΈ 19.10.2023):
-
- ```
- git clone https://github.com/rtqichen/torchdiffeq
- ```
-- [PyPi](https://pypi.org/project/torchdiffeq) (π₯ 810K / month Β· π¦ 100 Β· β±οΈ 29.05.2024):
- ```
- pip install torchdiffeq
- ```
-- [Conda](https://anaconda.org/conda-forge/torchdiffeq) (π₯ 18K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge torchdiffeq
- ```
-lightning-flash (π₯27 Β· β 1.7K Β· π€) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2
+tinygrad (π₯33 Β· β 27K) - You like pytorch? You like micrograd? You love tinygrad!. MIT
-- [GitHub](https://github.com/Lightning-Universe/lightning-flash) (π¨βπ» 87 Β· π 210 Β· π¦ 300 Β· π 520 - 4% open Β· β±οΈ 08.10.2023):
+- [GitHub](https://github.com/tinygrad/tinygrad) (π¨βπ» 350 Β· π 2.9K Β· π¦ 130 Β· π 790 - 16% open Β· β±οΈ 07.11.2024):
```
- git clone https://github.com/Lightning-AI/lightning-flash
- ```
-- [PyPi](https://pypi.org/project/lightning-flash) (π₯ 4.1K / month Β· π¦ 5 Β· β±οΈ 11.05.2022):
- ```
- pip install lightning-flash
- ```
-- [Conda](https://anaconda.org/conda-forge/lightning-flash) (π₯ 23K Β· β±οΈ 04.07.2023):
- ```
- conda install -c conda-forge lightning-flash
+ git clone https://github.com/geohot/tinygrad
```
EfficientNets (π₯25 Β· β 1.6K) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2
@@ -7537,7 +7436,7 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/rwightman/gen-efficientnet-pytorch
```
-- [PyPi](https://pypi.org/project/geffnet) (π₯ 160K / month Β· π¦ 4 Β· β±οΈ 08.07.2021):
+- [PyPi](https://pypi.org/project/geffnet) (π₯ 170K / month Β· π¦ 4 Β· β±οΈ 08.07.2021):
```
pip install geffnet
```
@@ -7549,23 +7448,23 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/rusty1s/pytorch_scatter
```
-- [PyPi](https://pypi.org/project/torch-scatter) (π₯ 45K / month Β· π¦ 150 Β· β±οΈ 06.10.2023):
+- [PyPi](https://pypi.org/project/torch-scatter) (π₯ 47K / month Β· π¦ 150 Β· β±οΈ 06.10.2023):
```
pip install torch-scatter
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (π₯ 520K Β· β±οΈ 08.10.2024):
+- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (π₯ 530K Β· β±οΈ 05.11.2024):
```
conda install -c conda-forge pytorch_scatter
```
Pytorch Toolbelt (π₯24 Β· β 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT
+Pytorch Toolbelt (π₯23 Β· β 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT
- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (π¨βπ» 8 Β· π 120 Β· π₯ 45 Β· π 33 - 12% open Β· β±οΈ 14.10.2024):
```
git clone https://github.com/BloodAxe/pytorch-toolbelt
```
-- [PyPi](https://pypi.org/project/pytorch_toolbelt) (π₯ 8.5K / month Β· π¦ 7 Β· β±οΈ 27.06.2022):
+- [PyPi](https://pypi.org/project/pytorch_toolbelt) (π₯ 8K / month Β· π¦ 7 Β· β±οΈ 27.06.2022):
```
pip install pytorch_toolbelt
```
@@ -7577,27 +7476,29 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/rusty1s/pytorch_sparse
```
-- [PyPi](https://pypi.org/project/torch-sparse) (π₯ 33K / month Β· π¦ 120 Β· β±οΈ 06.10.2023):
+- [PyPi](https://pypi.org/project/torch-sparse) (π₯ 35K / month Β· π¦ 120 Β· β±οΈ 06.10.2023):
```
pip install torch-sparse
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (π₯ 490K Β· β±οΈ 08.10.2024):
+- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (π₯ 500K Β· β±οΈ 05.11.2024):
```
conda install -c conda-forge pytorch_sparse
```
Show 23 hidden projects...
+Show 25 hidden projects...
+- torchdiffeq (π₯30 Β· β 5.6K Β· π) - Differentiable ODE solvers with full GPU support and.. MIT BSD-3 Apache-2 Apache-2 MIT Apache-2 Apache-2 MIT Apache-2 MIT MIT MIT MIT Apache-2 MIT βοΈCC BY-NC-SA 4.0 scipy (π₯50 Β· β 13K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3
-- [GitHub](https://github.com/scipy/scipy) (π¨βπ» 1.7K Β· π 5.2K Β· π₯ 420K Β· π¦ 1.1M Β· π 11K - 16% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/scipy/scipy) (π¨βπ» 1.7K Β· π 5.2K Β· π₯ 420K Β· π¦ 1.1M Β· π 11K - 16% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/scipy/scipy
```
-- [PyPi](https://pypi.org/project/scipy) (π₯ 130M / month Β· π¦ 46K Β· β±οΈ 21.08.2024):
+- [PyPi](https://pypi.org/project/scipy) (π₯ 120M / month Β· π¦ 46K Β· β±οΈ 21.08.2024):
```
pip install scipy
```
@@ -7646,7 +7547,7 @@ _Libraries for connecting to, operating, and querying databases._
SymPy (π₯49 Β· β 13K) - A computer algebra system written in pure Python. BSD-3
-- [GitHub](https://github.com/sympy/sympy) (π¨βπ» 1.3K Β· π 4.4K Β· π₯ 550K Β· π¦ 180K Β· π 14K - 36% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/sympy/sympy) (π¨βπ» 1.3K Β· π 4.4K Β· π₯ 550K Β· π¦ 190K Β· π 14K - 36% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/sympy/sympy
@@ -7655,43 +7556,43 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install sympy
```
-- [Conda](https://anaconda.org/conda-forge/sympy) (π₯ 6.9M Β· β±οΈ 09.10.2024):
+- [Conda](https://anaconda.org/conda-forge/sympy) (π₯ 7M Β· β±οΈ 09.10.2024):
```
conda install -c conda-forge sympy
```
Streamlit (π₯46 Β· β 35K) - Streamlit A faster way to build and share data apps. Apache-2
+Streamlit (π₯46 Β· β 36K) - Streamlit A faster way to build and share data apps. Apache-2
-- [GitHub](https://github.com/streamlit/streamlit) (π¨βπ» 250 Β· π 3.1K Β· π¦ 560K Β· π 4.7K - 21% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/streamlit/streamlit) (π¨βπ» 250 Β· π 3.1K Β· π¦ 570K Β· π 4.7K - 21% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/streamlit/streamlit
```
-- [PyPi](https://pypi.org/project/streamlit) (π₯ 7.2M / month Β· π¦ 2.7K Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/streamlit) (π₯ 6.7M / month Β· π¦ 2.9K Β· β±οΈ 06.11.2024):
```
pip install streamlit
```
Gradio (π₯43 Β· β 34K Β· π) - Wrap UIs around any model, share with anyone. Apache-2
+Gradio (π₯44 Β· β 34K Β· π) - Wrap UIs around any model, share with anyone. Apache-2
-- [GitHub](https://github.com/gradio-app/gradio) (π¨βπ» 440 Β· π 2.5K Β· π¦ 45K Β· π 4.9K - 9% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/gradio-app/gradio) (π¨βπ» 450 Β· π 2.6K Β· π¦ 46K Β· π 5K - 8% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/gradio-app/gradio
```
-- [PyPi](https://pypi.org/project/gradio) (π₯ 6.7M / month Β· π¦ 820 Β· β±οΈ 25.10.2024):
+- [PyPi](https://pypi.org/project/gradio) (π₯ 6.8M / month Β· π¦ 840 Β· β±οΈ 04.11.2024):
```
pip install gradio
```
Autograd (π₯37 Β· β 7K) - Efficiently computes derivatives of NumPy code. MIT
-- [GitHub](https://github.com/HIPS/autograd) (π¨βπ» 60 Β· π 910 Β· π¦ 10K Β· π 420 - 42% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/HIPS/autograd) (π¨βπ» 60 Β· π 910 Β· π¦ 10K Β· π 420 - 42% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/HIPS/autograd
```
-- [PyPi](https://pypi.org/project/autograd) (π₯ 3.8M / month Β· π¦ 280 Β· β±οΈ 22.08.2024):
+- [PyPi](https://pypi.org/project/autograd) (π₯ 4.1M / month Β· π¦ 280 Β· β±οΈ 22.08.2024):
```
pip install autograd
```
@@ -7700,14 +7601,14 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge autograd
```
PennyLane (π₯36 Β· β 2.3K) - PennyLane is a cross-platform Python library for quantum.. Apache-2
+PennyLane (π₯37 Β· β 2.3K Β· π) - PennyLane is a cross-platform Python library for quantum.. Apache-2
-- [GitHub](https://github.com/PennyLaneAI/pennylane) (π¨βπ» 190 Β· π 600 Β· π₯ 96 Β· π¦ 1.1K Β· π 1.4K - 22% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/PennyLaneAI/pennylane) (π¨βπ» 190 Β· π 600 Β· π₯ 96 Β· π¦ 1.1K Β· π 1.4K - 23% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/PennyLaneAI/PennyLane
```
-- [PyPi](https://pypi.org/project/pennylane) (π₯ 73K / month Β· π¦ 120 Β· β±οΈ 12.09.2024):
+- [PyPi](https://pypi.org/project/pennylane) (π₯ 75K / month Β· π¦ 120 Β· β±οΈ 05.11.2024):
```
pip install pennylane
```
@@ -7718,56 +7619,56 @@ _Libraries for connecting to, operating, and querying databases._
carla (π₯35 Β· β 11K) - Open-source simulator for autonomous driving research. MIT
-- [GitHub](https://github.com/carla-simulator/carla) (π¨βπ» 190 Β· π 3.6K Β· π¦ 830 Β· π 5.6K - 19% open Β· β±οΈ 28.10.2024):
+- [GitHub](https://github.com/carla-simulator/carla) (π¨βπ» 190 Β· π 3.6K Β· π¦ 840 Β· π 5.6K - 19% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/carla-simulator/carla
```
-- [PyPi](https://pypi.org/project/carla) (π₯ 15K / month Β· π¦ 11 Β· β±οΈ 14.11.2023):
+- [PyPi](https://pypi.org/project/carla) (π₯ 16K / month Β· π¦ 11 Β· β±οΈ 14.11.2023):
```
pip install carla
```
Datasette (π₯35 Β· β 9.5K) - An open source multi-tool for exploring and publishing data. Apache-2
+DeepChem (π₯35 Β· β 5.5K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT
-- [GitHub](https://github.com/simonw/datasette) (π¨βπ» 80 Β· π 680 Β· π₯ 68 Β· π¦ 1.3K Β· π 1.9K - 32% open Β· β±οΈ 07.10.2024):
+- [GitHub](https://github.com/deepchem/deepchem) (π¨βπ» 250 Β· π 1.7K Β· π¦ 450 Β· π 1.9K - 34% open Β· β±οΈ 06.11.2024):
```
- git clone https://github.com/simonw/datasette
+ git clone https://github.com/deepchem/deepchem
```
-- [PyPi](https://pypi.org/project/datasette) (π₯ 79K / month Β· π¦ 410 Β· β±οΈ 07.10.2024):
+- [PyPi](https://pypi.org/project/deepchem) (π₯ 98K / month Β· π¦ 13 Β· β±οΈ 06.11.2024):
```
- pip install datasette
+ pip install deepchem
```
-- [Conda](https://anaconda.org/conda-forge/datasette) (π₯ 46K Β· β±οΈ 08.10.2024):
+- [Conda](https://anaconda.org/conda-forge/deepchem) (π₯ 110K Β· β±οΈ 05.04.2024):
```
- conda install -c conda-forge datasette
+ conda install -c conda-forge deepchem
```
DeepChem (π₯35 Β· β 5.5K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT
+Datasette (π₯34 Β· β 9.5K) - An open source multi-tool for exploring and publishing data. Apache-2
-- [GitHub](https://github.com/deepchem/deepchem) (π¨βπ» 250 Β· π 1.7K Β· π¦ 450 Β· π 1.9K - 34% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/simonw/datasette) (π¨βπ» 80 Β· π 680 Β· π₯ 68 Β· π¦ 1.3K Β· π 1.9K - 32% open Β· β±οΈ 07.10.2024):
```
- git clone https://github.com/deepchem/deepchem
+ git clone https://github.com/simonw/datasette
```
-- [PyPi](https://pypi.org/project/deepchem) (π₯ 100K / month Β· π¦ 13 Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/datasette) (π₯ 81K / month Β· π¦ 410 Β· β±οΈ 07.10.2024):
```
- pip install deepchem
+ pip install datasette
```
-- [Conda](https://anaconda.org/conda-forge/deepchem) (π₯ 110K Β· β±οΈ 05.04.2024):
+- [Conda](https://anaconda.org/conda-forge/datasette) (π₯ 47K Β· β±οΈ 08.10.2024):
```
- conda install -c conda-forge deepchem
+ conda install -c conda-forge datasette
```
PyOD (π₯34 Β· β 8.6K) - A Python Library for Outlier and Anomaly Detection, Integrating Classical.. BSD-2
-- [GitHub](https://github.com/yzhao062/pyod) (π¨βπ» 60 Β· π 1.4K Β· π¦ 4.3K Β· π 370 - 60% open Β· β±οΈ 05.09.2024):
+- [GitHub](https://github.com/yzhao062/pyod) (π¨βπ» 60 Β· π 1.4K Β· π¦ 4.4K Β· π 370 - 60% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/yzhao062/pyod
```
-- [PyPi](https://pypi.org/project/pyod) (π₯ 640K / month Β· π¦ 110 Β· β±οΈ 06.09.2024):
+- [PyPi](https://pypi.org/project/pyod) (π₯ 630K / month Β· π¦ 110 Β· β±οΈ 06.09.2024):
```
pip install pyod
```
@@ -7810,7 +7711,7 @@ _Libraries for connecting to, operating, and querying databases._
River (π₯33 Β· β 5.1K) - Online machine learning in Python. BSD-3
-- [GitHub](https://github.com/online-ml/river) (π¨βπ» 120 Β· π 540 Β· π¦ 580 Β· π 610 - 18% open Β· β±οΈ 03.10.2024):
+- [GitHub](https://github.com/online-ml/river) (π¨βπ» 120 Β· π 540 Β· π¦ 580 Β· π 620 - 19% open Β· β±οΈ 03.10.2024):
```
git clone https://github.com/online-ml/river
@@ -7819,35 +7720,35 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install river
```
-- [Conda](https://anaconda.org/conda-forge/river) (π₯ 84K Β· β±οΈ 06.10.2023):
+- [Conda](https://anaconda.org/conda-forge/river) (π₯ 85K Β· β±οΈ 06.10.2023):
```
conda install -c conda-forge river
```
Pythran (π₯33 Β· β 2K) - Ahead of Time compiler for numeric kernels. BSD-3
-- [GitHub](https://github.com/serge-sans-paille/pythran) (π¨βπ» 73 Β· π 190 Β· π¦ 2.7K Β· π 870 - 15% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/serge-sans-paille/pythran) (π¨βπ» 73 Β· π 190 Β· π¦ 2.8K Β· π 870 - 15% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/serge-sans-paille/pythran
```
-- [PyPi](https://pypi.org/project/pythran) (π₯ 280K / month Β· π¦ 21 Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/pythran) (π₯ 330K / month Β· π¦ 21 Β· β±οΈ 31.10.2024):
```
pip install pythran
```
-- [Conda](https://anaconda.org/conda-forge/pythran) (π₯ 740K Β· β±οΈ 03.09.2024):
+- [Conda](https://anaconda.org/conda-forge/pythran) (π₯ 750K Β· β±οΈ 31.10.2024):
```
conda install -c conda-forge pythran
```
tensorly (π₯33 Β· β 1.6K) - TensorLy: Tensor Learning in Python. BSD-2
-- [GitHub](https://github.com/tensorly/tensorly) (π¨βπ» 69 Β· π 290 Β· π¦ 790 Β· π 270 - 21% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/tensorly/tensorly) (π¨βπ» 69 Β· π 290 Β· π¦ 800 Β· π 270 - 21% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/tensorly/tensorly
```
-- [PyPi](https://pypi.org/project/tensorly) (π₯ 100K / month Β· π¦ 92 Β· β±οΈ 08.03.2023):
+- [PyPi](https://pypi.org/project/tensorly) (π₯ 120K / month Β· π¦ 92 Β· β±οΈ 08.03.2023):
```
pip install tensorly
```
@@ -7863,7 +7764,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/datalad/datalad
```
-- [PyPi](https://pypi.org/project/datalad) (π₯ 53K / month Β· π¦ 95 Β· β±οΈ 08.08.2024):
+- [PyPi](https://pypi.org/project/datalad) (π₯ 59K / month Β· π¦ 98 Β· β±οΈ 08.08.2024):
```
pip install datalad
```
@@ -7874,31 +7775,31 @@ _Libraries for connecting to, operating, and querying databases._
PaddleHub (π₯31 Β· β 13K) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (π¨βπ» 70 Β· π 2.1K Β· π₯ 800 Β· π¦ 1.7K Β· π 1.3K - 44% open Β· β±οΈ 07.08.2024):
+- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (π¨βπ» 70 Β· π 2.1K Β· π₯ 800 Β· π¦ 1.8K Β· π 1.3K - 44% open Β· β±οΈ 07.08.2024):
```
git clone https://github.com/PaddlePaddle/PaddleHub
```
-- [PyPi](https://pypi.org/project/paddlehub) (π₯ 5.8K / month Β· π¦ 7 Β· β±οΈ 20.09.2023):
+- [PyPi](https://pypi.org/project/paddlehub) (π₯ 5.7K / month Β· π¦ 7 Β· β±οΈ 20.09.2023):
```
pip install paddlehub
```
anomalib (π₯31 Β· β 3.8K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2
-- [GitHub](https://github.com/openvinotoolkit/anomalib) (π¨βπ» 81 Β· π 660 Β· π₯ 15K Β· π¦ 100 Β· π 940 - 15% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/openvinotoolkit/anomalib) (π¨βπ» 81 Β· π 670 Β· π₯ 15K Β· π¦ 110 Β· π 940 - 15% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/openvinotoolkit/anomalib
```
-- [PyPi](https://pypi.org/project/anomalib) (π₯ 67K / month Β· π¦ 5 Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/anomalib) (π₯ 64K / month Β· π¦ 5 Β· β±οΈ 31.10.2024):
```
pip install anomalib
```
pyjanitor (π₯31 Β· β 1.4K) - Clean APIs for data cleaning. Python implementation of R package.. MIT
-- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (π¨βπ» 110 Β· π 170 Β· π¦ 740 Β· π 570 - 19% open Β· β±οΈ 28.10.2024):
+- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (π¨βπ» 110 Β· π 170 Β· π¦ 740 Β· π 570 - 19% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/pyjanitor-devs/pyjanitor
@@ -7940,38 +7841,38 @@ _Libraries for connecting to, operating, and querying databases._
pip install causalml
```
dstack (π₯30 Β· β 1.4K) - dstack is an open-source alternative to Kubernetes, designed to.. MPL-2.0
+dstack (π₯30 Β· β 1.5K) - dstack is an open-source alternative to Kubernetes, designed to.. MPL-2.0
-- [GitHub](https://github.com/dstackai/dstack) (π¨βπ» 45 Β· π 150 Β· π¦ 16 Β· π 1K - 10% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/dstackai/dstack) (π¨βπ» 46 Β· π 150 Β· π¦ 16 Β· π 1K - 10% open Β· β±οΈ 07.11.2024):
```
git clone https://github.com/dstackai/dstack
```
-- [PyPi](https://pypi.org/project/dstack) (π₯ 18K / month Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/dstack) (π₯ 17K / month Β· β±οΈ 05.11.2024):
```
pip install dstack
```
avalanche (π₯29 Β· β 1.8K Β· π) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT
+avalanche (π₯29 Β· β 1.8K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT
- [GitHub](https://github.com/ContinualAI/avalanche) (π¨βπ» 81 Β· π 290 Β· π₯ 41 Β· π¦ 110 Β· π 820 - 12% open Β· β±οΈ 29.10.2024):
```
git clone https://github.com/ContinualAI/avalanche
```
-- [PyPi](https://pypi.org/project/avalanche-lib) (π₯ 3K / month Β· π¦ 3 Β· β±οΈ 29.10.2024):
+- [PyPi](https://pypi.org/project/avalanche-lib) (π₯ 3.2K / month Β· π¦ 3 Β· β±οΈ 29.10.2024):
```
pip install avalanche-lib
```
TabPy (π₯29 Β· β 1.6K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT
-- [GitHub](https://github.com/tableau/TabPy) (π¨βπ» 51 Β· π 590 Β· π¦ 180 Β· π 320 - 6% open Β· β±οΈ 23.09.2024):
+- [GitHub](https://github.com/tableau/TabPy) (π¨βπ» 51 Β· π 600 Β· π¦ 180 Β· π 320 - 6% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/tableau/TabPy
```
-- [PyPi](https://pypi.org/project/tabpy) (π₯ 54K / month Β· π¦ 2 Β· β±οΈ 23.09.2024):
+- [PyPi](https://pypi.org/project/tabpy) (π₯ 54K / month Β· π¦ 2 Β· β±οΈ 06.11.2024):
```
pip install tabpy
```
@@ -7987,7 +7888,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/MaxHalford/prince
```
-- [PyPi](https://pypi.org/project/prince) (π₯ 190K / month Β· π¦ 18 Β· β±οΈ 07.09.2024):
+- [PyPi](https://pypi.org/project/prince) (π₯ 180K / month Β· π¦ 18 Β· β±οΈ 07.09.2024):
```
pip install prince
```
@@ -7996,14 +7897,14 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge prince-factor-analysis
```
pycm (π₯28 Β· β 1.4K) - Multi-class confusion matrix library in Python. MIT
+pycm (π₯28 Β· β 1.5K) - Multi-class confusion matrix library in Python. MIT
-- [GitHub](https://github.com/sepandhaghighi/pycm) (π¨βπ» 17 Β· π 120 Β· π¦ 340 Β· π 200 - 5% open Β· β±οΈ 15.10.2024):
+- [GitHub](https://github.com/sepandhaghighi/pycm) (π¨βπ» 17 Β· π 120 Β· π¦ 350 Β· π 200 - 5% open Β· β±οΈ 15.10.2024):
```
git clone https://github.com/sepandhaghighi/pycm
```
-- [PyPi](https://pypi.org/project/pycm) (π₯ 40K / month Β· π¦ 24 Β· β±οΈ 17.10.2024):
+- [PyPi](https://pypi.org/project/pycm) (π₯ 39K / month Β· π¦ 24 Β· β±οΈ 17.10.2024):
```
pip install pycm
```
@@ -8019,19 +7920,19 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install kmodes
```
-- [Conda](https://anaconda.org/conda-forge/kmodes) (π₯ 50K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/kmodes) (π₯ 51K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge kmodes
```
adapter-transformers (π₯27 Β· β 2.6K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface
-- [GitHub](https://github.com/adapter-hub/adapters) (π¨βπ» 13 Β· π 340 Β· π¦ 120 Β· π 390 - 11% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/adapter-hub/adapters) (π¨βπ» 13 Β· π 340 Β· π¦ 120 Β· π 390 - 11% open Β· β±οΈ 02.11.2024):
```
git clone https://github.com/Adapter-Hub/adapter-transformers
```
-- [PyPi](https://pypi.org/project/adapter-transformers) (π₯ 39K / month Β· π¦ 12 Β· β±οΈ 07.07.2024):
+- [PyPi](https://pypi.org/project/adapter-transformers) (π₯ 41K / month Β· π¦ 12 Β· β±οΈ 07.07.2024):
```
pip install adapter-transformers
```
@@ -8043,11 +7944,11 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/annoviko/pyclustering
```
-- [PyPi](https://pypi.org/project/pyclustering) (π₯ 28K / month Β· π¦ 32 Β· β±οΈ 25.11.2020):
+- [PyPi](https://pypi.org/project/pyclustering) (π₯ 26K / month Β· π¦ 32 Β· β±οΈ 25.11.2020):
```
pip install pyclustering
```
-- [Conda](https://anaconda.org/conda-forge/pyclustering) (π₯ 92K Β· β±οΈ 16.11.2023):
+- [Conda](https://anaconda.org/conda-forge/pyclustering) (π₯ 93K Β· β±οΈ 16.11.2023):
```
conda install -c conda-forge pyclustering
```
@@ -8059,19 +7960,19 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/google/trax
```
-- [PyPi](https://pypi.org/project/trax) (π₯ 5.3K / month Β· π¦ 1 Β· β±οΈ 26.10.2021):
+- [PyPi](https://pypi.org/project/trax) (π₯ 6K / month Β· π¦ 1 Β· β±οΈ 26.10.2021):
```
pip install trax
```
Feature Engine (π₯26 Β· β 1.8K) - Feature engineering package with sklearn like functionality. BSD-3
+Feature Engine (π₯26 Β· β 1.9K) - Feature engineering package with sklearn like functionality. BSD-3
- [GitHub](https://github.com/solegalli/feature_engine) (π¨βπ» 49 Β· π 310 Β· β±οΈ 31.08.2024):
```
git clone https://github.com/solegalli/feature_engine
```
-- [PyPi](https://pypi.org/project/feature_engine) (π₯ 220K / month Β· π¦ 160 Β· β±οΈ 31.08.2024):
+- [PyPi](https://pypi.org/project/feature_engine) (π₯ 240K / month Β· π¦ 170 Β· β±οΈ 03.11.2024):
```
pip install feature_engine
```
@@ -8087,7 +7988,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/facebookresearch/AugLy
```
-- [PyPi](https://pypi.org/project/augly) (π₯ 4.4K / month Β· π¦ 4 Β· β±οΈ 05.12.2023):
+- [PyPi](https://pypi.org/project/augly) (π₯ 4.3K / month Β· π¦ 4 Β· β±οΈ 05.12.2023):
```
pip install augly
```
@@ -8099,11 +8000,11 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/scikit-learn-contrib/metric-learn
```
-- [PyPi](https://pypi.org/project/metric-learn) (π₯ 5.2K / month Β· π¦ 7 Β· β±οΈ 09.10.2023):
+- [PyPi](https://pypi.org/project/metric-learn) (π₯ 4.9K / month Β· π¦ 7 Β· β±οΈ 09.10.2023):
```
pip install metric-learn
```
-- [Conda](https://anaconda.org/conda-forge/metric-learn) (π₯ 13K Β· β±οΈ 09.10.2023):
+- [Conda](https://anaconda.org/conda-forge/metric-learn) (π₯ 14K Β· β±οΈ 09.10.2023):
```
conda install -c conda-forge metric-learn
```
@@ -8115,37 +8016,37 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/mars-project/mars
```
-- [PyPi](https://pypi.org/project/pymars) (π₯ 43K / month Β· π¦ 2 Β· β±οΈ 12.06.2022):
+- [PyPi](https://pypi.org/project/pymars) (π₯ 42K / month Β· π¦ 2 Β· β±οΈ 12.06.2022):
```
pip install pymars
```
BioPandas (π₯24 Β· β 710) - Working with molecular structures in pandas DataFrames. BSD-3
+MONAILabel (π₯24 Β· β 610) - MONAI Label is an intelligent open source image labeling and.. Apache-2
-- [GitHub](https://github.com/BioPandas/biopandas) (π¨βπ» 18 Β· π 120 Β· π¦ 290 Β· π 59 - 35% open Β· β±οΈ 01.08.2024):
+- [GitHub](https://github.com/Project-MONAI/MONAILabel) (π¨βπ» 64 Β· π 200 Β· π₯ 100K Β· π 530 - 25% open Β· β±οΈ 07.11.2024):
```
- git clone https://github.com/rasbt/biopandas
- ```
-- [PyPi](https://pypi.org/project/biopandas) (π₯ 13K / month Β· π¦ 38 Β· β±οΈ 01.08.2024):
- ```
- pip install biopandas
+ git clone https://github.com/Project-MONAI/MONAILabel
```
-- [Conda](https://anaconda.org/conda-forge/biopandas) (π₯ 170K Β· β±οΈ 02.08.2024):
+- [PyPi](https://pypi.org/project/monailabel-weekly) (π₯ 4.6K / month Β· β±οΈ 01.10.2023):
```
- conda install -c conda-forge biopandas
+ pip install monailabel-weekly
```
MONAILabel (π₯24 Β· β 600) - MONAI Label is an intelligent open source image labeling and.. Apache-2
+BioPandas (π₯23 Β· β 710) - Working with molecular structures in pandas DataFrames. BSD-3
-- [GitHub](https://github.com/Project-MONAI/MONAILabel) (π¨βπ» 64 Β· π 200 Β· π₯ 99K Β· π 530 - 24% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/BioPandas/biopandas) (π¨βπ» 18 Β· π 120 Β· π¦ 290 Β· π 59 - 35% open Β· β±οΈ 01.08.2024):
```
- git clone https://github.com/Project-MONAI/MONAILabel
+ git clone https://github.com/rasbt/biopandas
```
-- [PyPi](https://pypi.org/project/monailabel-weekly) (π₯ 5.1K / month Β· β±οΈ 01.10.2023):
+- [PyPi](https://pypi.org/project/biopandas) (π₯ 18K / month Β· π¦ 38 Β· β±οΈ 01.08.2024):
```
- pip install monailabel-weekly
+ pip install biopandas
+ ```
+- [Conda](https://anaconda.org/conda-forge/biopandas) (π₯ 170K Β· β±οΈ 02.08.2024):
+ ```
+ conda install -c conda-forge biopandas
```
AstroML (π₯22 Β· β 1.1K Β· π€) - Machine learning, statistics, and data mining for astronomy.. BSD-2
@@ -8155,7 +8056,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/astroML/astroML
```
-- [PyPi](https://pypi.org/project/astroML) (π₯ 3.8K / month Β· π¦ 16 Β· β±οΈ 01.03.2022):
+- [PyPi](https://pypi.org/project/astroML) (π₯ 3.7K / month Β· π¦ 16 Β· β±οΈ 01.03.2022):
```
pip install astroML
```
@@ -8171,19 +8072,19 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/clementchadebec/benchmark_VAE
```
-- [PyPi](https://pypi.org/project/pythae) (π₯ 1.8K / month Β· β±οΈ 06.09.2023):
+- [PyPi](https://pypi.org/project/pythae) (π₯ 1.6K / month Β· β±οΈ 06.09.2023):
```
pip install pythae
```
pykale (π₯21 Β· β 440) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT
-- [GitHub](https://github.com/pykale/pykale) (π¨βπ» 25 Β· π 64 Β· π¦ 4 Β· π 120 - 8% open Β· β±οΈ 24.09.2024):
+- [GitHub](https://github.com/pykale/pykale) (π¨βπ» 25 Β· π 64 Β· π¦ 5 Β· π 120 - 8% open Β· β±οΈ 24.09.2024):
```
git clone https://github.com/pykale/pykale
```
-- [PyPi](https://pypi.org/project/pykale) (π₯ 740 / month Β· β±οΈ 12.04.2022):
+- [PyPi](https://pypi.org/project/pykale) (π₯ 620 / month Β· β±οΈ 12.04.2022):
```
pip install pykale
```
@@ -8202,12 +8103,12 @@ _Libraries for connecting to, operating, and querying databases._
pymdp (π₯20 Β· β 460) - A Python implementation of active inference for Markov Decision Processes. MIT
-- [GitHub](https://github.com/infer-actively/pymdp) (π¨βπ» 18 Β· π 85 Β· π¦ 13 Β· π 45 - 40% open Β· β±οΈ 16.07.2024):
+- [GitHub](https://github.com/infer-actively/pymdp) (π¨βπ» 18 Β· π 86 Β· π¦ 13 Β· π 45 - 40% open Β· β±οΈ 16.07.2024):
```
git clone https://github.com/infer-actively/pymdp
```
-- [PyPi](https://pypi.org/project/inferactively-pymdp) (π₯ 2.3K / month Β· β±οΈ 08.12.2022):
+- [PyPi](https://pypi.org/project/inferactively-pymdp) (π₯ 8.1K / month Β· β±οΈ 08.12.2022):
```
pip install inferactively-pymdp
```
@@ -8219,7 +8120,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/facebookresearch/NeuralCompression
```
-- [PyPi](https://pypi.org/project/neuralcompression) (π₯ 390 / month Β· β±οΈ 03.10.2023):
+- [PyPi](https://pypi.org/project/neuralcompression) (π₯ 290 / month Β· β±οΈ 03.10.2023):
```
pip install neuralcompression
```
@@ -8232,21 +8133,21 @@ _Libraries for connecting to, operating, and querying databases._
- alibi-detect (π₯28 Β· β 2.2K) - Algorithms for outlier, adversarial and drift detection. βοΈIntel
- modAL (π₯28 Β· β 2.2K Β· π) - A modular active learning framework for Python. MIT βοΈCC-BY-3.0
-- PySwarms (π₯28 Β· β 1.3K Β· π) - A research toolkit for particle swarm optimization in Python. MIT
+- PySwarms (π₯27 Β· β 1.3K Β· π) - A research toolkit for particle swarm optimization in Python. MIT
- gplearn (π₯26 Β· β 1.6K Β· π) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 βUnlicensed
- findspark (π₯24 Β· β 510 Β· π) - Find pyspark to make it importable. BSD-3 MIT
- pandas-ai (π₯22 Β· β 13K) - Chat with your database (SQL, CSV, pandas, polars, mongodb,.. βUnlicensed
- opyrator (π₯22 Β· β 3.1K Β· π) - Turns your machine learning code into microservices with web API,.. MIT
- mlens (π₯22 Β· β 850 Β· π) - ML-Ensemble high performance ensemble learning. MIT
-- apricot (π₯22 Β· β 500 Β· π) - apricot implements submodular optimization for the purpose of.. MIT
+- vecstack (π₯22 Β· β 680 Β· π) - Python package for stacking (machine learning technique). MIT
+- apricot (π₯21 Β· β 500 Β· π) - apricot implements submodular optimization for the purpose of.. MIT
- impyute (π₯21 Β· β 350 Β· π) - Data imputations library to preprocess datasets with missing data. MIT
- StreamAlert (π₯20 Β· β 2.9K Β· π) - StreamAlert is a serverless, realtime data analysis.. Apache-2
- rrcf (π₯20 Β· β 500 Β· π) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT
- baikal (π₯19 Β· β 590 Β· π) - A graph-based functional API for building complex scikit-learn.. BSD-3
- scikit-rebate (π₯19 Β· β 410 Β· π) - A scikit-learn-compatible Python implementation of.. MIT MIT MIT BSD-3 MIT
- traingenerator (π₯13 Β· β 1.4K Β· π) - A web app to generate template code for machine learning. MIT
diff --git a/history/2024-11-07_changes.md b/history/2024-11-07_changes.md
new file mode 100644
index 0000000..543bc8a
--- /dev/null
+++ b/history/2024-11-07_changes.md
@@ -0,0 +1,36 @@
+## π Trending Up
+
+_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._
+
+- Gradio (π₯44 Β· β 34K Β· π) - Wrap UIs around any model, share with anyone. Apache-2
+- pyecharts (π₯38 Β· β 15K Β· π) - Python Echarts Plotting Library. MIT Apache-2
+- Nilearn (π₯37 Β· β 1.2K Β· π) - Machine learning for NeuroImaging in Python. BSD-3 Apache-2 Apache-2
+- PML (π₯34 Β· β 6K Β· π) - The easiest way to use deep metric learning in your application... MIT BSD-3 BSD-3 MIT BSD-3
+- MoviePy (π₯37 Β· β 13K Β· π) - Video editing with Python. MIT
+- jieba (π₯36 Β· β 33K Β· π) - Chinese Words Segmentation Utilities. MIT
+- MMDetection (π₯36 Β· β 30K Β· π€) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 MIT
+- CLTK (π₯27 Β· β 840 Β· π) - The Classical Language Toolkit. MIT
+- pygal (π₯26 Β· β 2.7K Β· π) - PYthon svg GrAph plotting Library. βοΈLGPL-3.0
+- miceforest (π₯22 Β· β 350 Β· π) - Multiple Imputation with LightGBM in Python. MIT
+- pycls (π₯18 Β· β 2.1K Β· π) - Codebase for Image Classification Research, written in PyTorch. MIT Apache-2
+
+## β Added Projects
+
+_Projects that were recently added to this best-of list._
+
+- TorchUncertainty (π₯22 Β· β 300 Β· β) - Open-source framework for uncertainty and deep.. Apache-2 BSD-3 MIT o t h e r s
-- spark-nlp (π₯36 Β· β 3.9K Β· π) - State of the Art Natural Language Processing. Apache-2 Apache-2
-- Lifelines (π₯34 Β· β 2.4K Β· π) - Survival analysis in Python. MIT
-- ipyparallel (π₯30 Β· β 2.6K Β· π) - IPython Parallel: Interactive Parallel Computing in.. βUnlicensed MIT
-- ml-metadata (π₯28 Β· β 620 Β· π) - For recording and retrieving metadata associated with ML.. Apache-2
-- tensorflow-graphics (π₯26 Β· β 2.7K Β· π) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 BSD-3 Apache-2
+- pyecharts (π₯38 Β· β 15K Β· π) - Python Echarts Plotting Library. MIT Apache-2
+- Nilearn (π₯37 Β· β 1.2K Β· π) - Machine learning for NeuroImaging in Python. BSD-3 Apache-2 Apache-2
+- PML (π₯34 Β· β 6K Β· π) - The easiest way to use deep metric learning in your application... MIT BSD-3 BSD-3 MIT Apache-2
-- pytorch-lightning (π₯43 Β· β 28K Β· π) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2 βUnlicensed
-- Jina (π₯37 Β· β 21K Β· π) - Build multimodal AI applications with cloud-native stack. Apache-2
-- sentencepiece (π₯37 Β· β 10K Β· π) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
-- PyVista (π₯37 Β· β 2.7K Β· π) - 3D plotting and mesh analysis through a streamlined interface.. MIT MIT
-- ColossalAI (π₯33 Β· β 39K Β· π) - Making large AI models cheaper, faster and more accessible. Apache-2
-- FATE (π₯24 Β· β 5.7K Β· π) - An Industrial Grade Federated Learning Framework. Apache-2
-- launchpad (π₯19 Β· β 310 Β· π) - Launchpad is a library that simplifies writing.. Apache-2 BSD-3
+- MoviePy (π₯37 Β· β 13K Β· π) - Video editing with Python. MIT
+- jieba (π₯36 Β· β 33K Β· π) - Chinese Words Segmentation Utilities. MIT
+- MMDetection (π₯36 Β· β 30K Β· π€) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 MIT
+- CLTK (π₯27 Β· β 840 Β· π) - The Classical Language Toolkit. MIT
+- pygal (π₯26 Β· β 2.7K Β· π) - PYthon svg GrAph plotting Library. βοΈLGPL-3.0
+- miceforest (π₯22 Β· β 350 Β· π) - Multiple Imputation with LightGBM in Python. MIT
+- pycls (π₯18 Β· β 2.1K Β· π) - Codebase for Image Classification Research, written in PyTorch. MIT Apache-2
+
+## β Added Projects
+
+_Projects that were recently added to this best-of list._
+
+- TorchUncertainty (π₯22 Β· β 300 Β· β) - Open-source framework for uncertainty and deep.. Apache-2