Awesome Python Data Science

The Python ensemble sampling toolkit for affine-invariant MCMC

Simple text to phones converter for multiple languages

PySAL: Python Spatial Analysis Library Meta-Package

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

Clean APIs for data cleaning. Python implementation of R package Janitor

Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.

Python interface for igraph

A research toolkit for particle swarm optimization in Python

Python implementation of CMA-ES

Model analysis tools for TensorFlow

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

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

Industry-strength Computer Vision workflows with Keras

[CONTRIBUTORS WELCOME] Generalized Additive Models in Python

Pretrained model hub for Keras 3.

Scalable Machine Learning with Dask

The Classical Language Toolkit

Universal model exchange and serialization format for decision tree forests

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

Library for exploring and validating machine learning data

Bias Auditing & Fair ML Toolkit

Easy pipelines for pandas DataFrames.

Python package for stacking (machine learning technique)

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!

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

Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.

A Python toolkit for processing tabular data

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.

An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments

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

Relevance Vector Machine implementation using the scikit-learn API.

PettingZoo and Gymnasium bindings for popular reinforcement learning environments outside of Farama

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.

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

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

A library for hidden semi-Markov models with explicit durations

Machine learning on dirty tabular data (legacy clone of skrub)

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.