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.

Models and examples built with TensorFlow

scikit-learn: machine learning in Python

Deep Learning for humans

⚡ Serverless Framework – Effortlessly build apps that auto-scale, incur zero costs when idle, and require minimal maintenance using AWS Lambda and other managed cloud services.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

It's a presentation framework based on the power of CSS3 transforms and transitions in modern browsers and inspired by the idea behind prezi.com.

Google Research

Caffe: a fast open framework for deep learning.

💫 Industrial-strength Natural Language Processing (NLP) in Python

TLS/SSL and crypto library

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

A monitor of resources

The most cited deep learning papers

A game theoretic approach to explain the output of any machine learning model.

BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Vitess is a database clustering system for horizontal scaling of MySQL.

OpenVPN road warrior installer for Ubuntu, Debian, AlmaLinux, Rocky Linux, CentOS and Fedora

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

A high performance caching library for Java

machine learning and deep learning tutorials, articles and other resources

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Must-read papers on graph neural networks (GNN)

Network Analysis in Python

Fast key-value DB in Go.

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

memcached development tree