Stars
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）
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 …
Seamless operability between C++11 and Python
A General-purpose Task-parallel Programming System using Modern C++
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
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…
A Python-embedded modeling language for convex optimization problems.
The Paxos library implemented in C++ that has been used in the WeChat production environment.
Collective communications library with various primitives for multi-machine training.
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…
Coding interview questions with solutions (deprecated)
Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface
Dive into machine learning system, start from reinventing the wheel.
Dragon: A Computation Graph Virtual Machine Based Deep Learning Framework.
Cache efficient implementation for Latent Dirichlet Allocation
Chinese Natural Language Processing tools and examples
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.