Protocol Buffers - Google's data interchange format

Mirror of https://git.ffmpeg.org/ffmpeg.git

The fundamental package for scientific computing with Python.

Unsloth Studio is a web UI for training and running open models like Qwen, DeepSeek, gpt-oss and Gemma locally.

Streamlit — A faster way to build and share data apps.

Google Research

C++ based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)

Google's Operations Research tools:

Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA

An open-source C++ library developed and used at Facebook.

Visualizer for neural network, deep learning and machine learning models

The Prometheus monitoring system and time series database.

Gephi - The Open Graph Viz Platform

SRS is a simple, high-efficiency, real-time media server supporting RTMP, WebRTC, HLS, HTTP-FLV, HTTP-TS, SRT, MPEG-DASH, and GB28181, with codec support for H.264, H.265, AV1, VP9, AAC, Opus, and …

jMuxer - a simple javascript mp4 muxer that works in both browser and node environment.

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

Open Source Computer Vision Library

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A library for efficient similarity search and clustering of dense vectors.

ncnn is a high-performance neural network inference framework optimized for the mobile platform

A Fast and Easy to use microframework for the web.

The Database Toolkit for Python

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

A cross-platform, linkable library implementation of Git that you can use in your application.

Git Source Code Mirror - This is a publish-only repository but pull requests can be turned into patches to the mailing list via GitGitGadget (https://gitgitgadget.github.io/). Please follow Documen…

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Use your Raspberry Pi as a browser-based KVM.

Models and examples built with TensorFlow

Autonomous mobile robots (2WD, 4WD, Mecanum Drive)