Awesome Python Data Science

NumPy and Pandas interface to Big Data

The machine learning toolkit for time series analysis in Python

TensorFlow Reinforcement Learning

Visualize and compare datasets, target values and associations, with one line of code.

High performance datastore for time series and tick data

StellarGraph - Machine Learning on Graphs

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

With Holoviews, your data visualizes itself.

Data manipulation and transformation for audio signal processing, powered by PyTorch

Pandas integration with sklearn

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Sequential model-based optimization with a `scipy.optimize` interface

POT : Python Optimal Transport

Learning to Rank in TensorFlow

Adaptive Experimentation Platform

Neural Network Libraries

A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

Algorithms for explaining machine learning models

Automatic architecture search and hyperparameter optimization for PyTorch

Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more

Scrape Twitter for Tweets

An intuitive library to add plotting functionality to scikit-learn objects.

Graph Neural Networks with Keras and Tensorflow 2.

A modular active learning framework for Python

Source-to-Source Debuggable Derivatives in Pure Python

Optax is a gradient processing and optimization library for JAX.

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Reinforcement Learning in PyTorch

Feature engineering and selection open-source Python library compatible with sklearn.

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Open source time series library for Python

A toolkit for reproducible reinforcement learning research.

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Genetic Programming in Python, with a scikit-learn inspired API

A flexible, intuitive and fast forecasting library

Deep learning with dynamic computation graphs in TensorFlow

Interpretability and explainability of data and machine learning models

Clean PyTorch implementations of imitation and reward learning algorithms

Painlessly create beautiful matplotlib plots.

Lightweight and extensible compatibility layer between dataframe libraries!

A distributed task scheduler for Dask

Python audio and music signal processing library

An offline deep reinforcement learning library

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

Hyper-parameter optimization for sklearn