Awesome Python Data Science

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments

allRank is a framework for training learning-to-rank neural models based on PyTorch.

[CONTRIBUTORS WELCOME] Generalized Additive Models in Python

Pretrained model hub for Keras 3.

The Classical Language Toolkit

ML powered analytics engine for outlier detection and root cause analysis.

:small_red_triangle: Ternary plotting library for python with matplotlib

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

Add built-in support for quaternions to numpy

A Free and Open Source Python Library for Multiobjective Optimization

Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!

🎯 A comprehensive gradient-free optimization framework written in Python

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

Module for statistical learning, with a particular emphasis on time-dependent modelling

Python package for Bayesian Machine Learning with scikit-learn API

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

A python package for animating plots build on matplotlib.

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

🎆 A visualization of the CapsNet layers to better understand how it works

Multiple Pairwise Comparisons (Post Hoc) Tests in Python

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

A pure Python implementation of Apache Spark's RDD and DStream interfaces.

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

Python-based implementations of algorithms for learning on imbalanced data.

A library for augmenting annotated audio data

BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.

PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.

Python histogram library - histograms as updateable, fully semantic objects with visualization tools. [P]ython [HYST]ograms.

A strongly-typed genetic programming framework for Python

Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

Universal 1d/2d data containers with Transformers functionality for data analysis.

A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠