Awesome Python Data Science

Lightweight and extensible compatibility layer between dataframe libraries!

Synthetic data generators for tabular and time-series data

Mesh TensorFlow: Model Parallelism Made Easier

Keras community contributions

Distributed Deep learning with Keras & Spark

Simple text to phones converter for multiple languages

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

PySAL: Python Spatial Analysis Library Meta-Package

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

OpenMMLab Foundational Library for Training Deep Learning Models

No-code in the front, Python in the back. An open-source framework for creating data apps.

A research toolkit for particle swarm optimization in Python

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

Scalable machine 🤖 learning for time series forecasting.

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

Fast NumPy array functions written in C

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

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

Pretrained model hub for Keras 3.

A scikit-learn based module for multi-label et. al. classification

Scalable Machine Learning with Dask

The Classical Language Toolkit

python partial dependence plot toolbox

Universal model exchange and serialization format for decision tree forests

Library for exploring and validating machine learning data

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

Bias Auditing & Fair ML Toolkit

Easy pipelines for pandas DataFrames.

Python package for stacking (machine learning technique)

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

A Free and Open Source Python Library for Multiobjective Optimization

QKeras: a quantization deep learning library for Tensorflow Keras

A library of metrics for evaluating recommender systems

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

Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

This library has moved to https://github.com/googleapis/google-cloud-python/tree/main/packages/pandas-gbq

Directions overlay for working with pandas in an analysis environment

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

Multiple Pairwise Comparisons (Post Hoc) Tests in Python

PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io

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

Solve automatic numerical differentiation problems in one or more variables.

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

A library for augmenting annotated audio data

A fast xgboost feature selection algorithm

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.