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

Productive, portable, and performant GPU programming in Python.

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 …

Tensor library for machine learning

Guidelines Support Library

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

A Python-embedded modeling language for convex optimization problems.

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

Deep Learning Chinese Word Segment

A lightweight parameter server interface

AutoPhrase: Automated Phrase Mining from Massive Text Corpora

INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model

Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning

SFrame: Scalable tabular and graph data-structures built for out-of-core data analysis and machine learning.

Scalable, fast, and lightweight system for large-scale topic modeling

Faster Recurrent Neural Network Language Modeling Toolkit with Noise Contrastive Estimation and Hierarchical Softmax

Reliable Allreduce and Broadcast Interface for distributed machine learning

Multi-core implementation of Regularized Greedy Forest