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.

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

ETS project parser written in python

Modular, contributor-friendly and blazing-fast implementation of the Ethereum protocol, in Rust

Multi-Agent Transport Simulation

Cloudflare's Rust service foundations library.

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

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

Dude, where are my bytes: Duc, a library and suite of tools for inspecting disk usage

Pluggable in-process caching engine to build and scale high performance services

ChurchCRM is an OpenSource Church CRM & Management Software.

scikit-learn: machine learning in Python

Deep Learning for humans

Exploit Development and Reverse Engineering with GDB & LLDB Made Easy

Code. Music. Live.

Web-based MongoDB admin interface, written with Node.js and Express

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

CTF framework and exploit development library

TLS/SSL and crypto library

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

Sloc, Cloc and Code: scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go

Rails 6 re-write of Coursemology

Fast key-value DB in Go.

⚡ 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.

Reference implementations of MLPerf® training benchmarks

Latest generation of Audiveris OMR engine

Safely store secrets in Git/Mercurial/Subversion

Host applications and library for Crazyflie written in Python.

Network Analysis in Python