An Open Source Machine Learning Framework for Everyone

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

Transformer related optimization, including BERT, GPT

A distributed graph deep learning framework.

Go AI program which implements the AlphaGo Zero paper

Submanifold sparse convolutional networks

A Library for Field-aware Factorization Machines

Library for factorization machines

Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

GraphVite: A General and High-performance Graph Embedding System

LINE: Large-scale information network embedding

GraphChi's C++ version. Big Data - small machine.

Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communi…

A fast and scalable C++ library for implicit-feedback matrix factorization models

PowerGraph: A framework for large-scale machine learning and graph computation.

Distributed Factorization Machines

Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend items to users based on item content and other users' ratings.

Collaborative Denoising Auto-Encoder for Top-N Recommender Systems

Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.

A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface

Implemented SVD, SVD++ and timeSVD++. Can be used on the Netflix data to make predictions/recommendations.

a novel collaborative filtering method incorporating lambda