Awesome Python Data Science

An Open Source Machine Learning Framework for Everyone

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Extremely fast Query Engine for DataFrames, written in Rust

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

matplotlib: plotting with Python

Interactive Data Visualization in the browser, from Python

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Network Analysis in Python

🎨 Python Echarts Plotting Library

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

NLTK Source

A hyperparameter optimization framework

A toolkit for making real world machine learning and data analysis applications in C++

Statistical data visualization in Python

Parallel computing with task scheduling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

NumPy & SciPy for GPU

Statsmodels: statistical modeling and econometrics in Python

Fast and Accurate ML in 3 Lines of Code

Modin: Scale your Pandas workflows by changing a single line of code

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

cuDF - GPU DataFrame Library

Bayesian Modeling and Probabilistic Programming in Python

A python library for user-friendly forecasting and anomaly detection on time series.

AutoML library for deep learning

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Deep universal probabilistic programming with Python and PyTorch

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

A Python implementation of global optimization with gaussian processes.

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

Python library for audio and music analysis

An open source python library for automated feature engineering

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

Efficiently computes derivatives of NumPy code.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Image processing in Python

A system for quickly generating training data with weak supervision

Python tools for geographic data

A library of extension and helper modules for Python's data analysis and machine learning libraries.

A Python implementation of LightFM, a hybrid recommendation algorithm.

Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.

Lightning ⚡️ fast forecasting with statistical and econometric models.