An Open Source Machine Learning Framework for Everyone

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

Tesseract Open Source OCR Engine (main repository)

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

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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）

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

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

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 …

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

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

Automatic License Plate Recognition library

Unsupervised text tokenizer for Neural Network-based text generation.

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 comp…

A flexible, high-performance serving system for machine learning models

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

The repository contains Google's robots.txt parser and matcher as a C++ library (compliant to C++11).

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

A low-latency prediction-serving system

A high-quality speech analysis, manipulation and synthesis system

Trust & Safety tools for working together to fight digital harms.

Generalized Random Forests

An unmaintained programming language

NetworKit is a growing open-source toolkit for large-scale network analysis.

Experiments towards neural network theorem proving

A Fast Implementation of Random Forests

Main codebase for TeXworks, a simple interface for working with TeX documents

A Speaker Recognition System

Sketching linear classifiers over data streams with the Weight-Median Sketch (SIGMOD 2018).