An Open Source Machine Learning Framework for Everyone

Build cross-platform desktop apps with JavaScript, HTML, and CSS

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

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

Productive, portable, and performant GPU programming in Python.

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 …

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

Background Music, a macOS audio utility: automatically pause your music, set individual apps' volumes and record system audio.

Seamless operability between C++11 and Python

World's largest Contributor driven code dataset | Used in Quark Search Engine, @OpenGenus IQ, OpenGenus Visual Project

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

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

software version control visualization

Turi Create simplifies the development of custom machine learning models.

Open3D: A Modern Library for 3D Data Processing

Point Cloud Library (PCL)

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…

cuDF - GPU DataFrame Library

High-speed Large Language Model Serving on PCs with Consumer-grade GPUs

COLMAP - Structure-from-Motion and Multi-View Stereo

The Fast Cross-Platform Package Manager

Fit interpretable models. Explain blackbox machine learning.

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

A Python-embedded modeling language for convex optimization problems.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search sc…

PlaidML is a framework for making deep learning work everywhere.

Header-only C++/python library for fast approximate nearest neighbors

cuML - RAPIDS Machine Learning Library