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)
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
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.
Tutorial code on how to build your own Deep Learning System in 2k Lines
Collective communications library with various primitives for multi-machine training.
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
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…
Multi-core implementation of Regularized Greedy Forest
This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas Mikolov.
Coding interview questions with solutions (deprecated)
Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface