An Open Source Machine Learning Framework for Everyone

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

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）

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

1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.

Library for factorization machines

Parallel ML System - Bosen project

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

moved to https://github.com/dmlc/ps-lite

Sample code for the Effective Modern C++ book by Scott Meyers.

Distributed training framework with parameter server

A Python wrapper for the libffm library.

Multi-thread implementation of Piece-wise Linear Model(PLM) or Mixture of LR(MLR) with FTRL for binary-class classification problem.

Distributed FM and LR based on Parameter Server with Ftrl

Multithreaded Asynchronous FTRL Proximal Implementation

a parameter server for distributed machine learning applications

一个分布式的高性能Word2Vec实现