An Open Source Machine Learning Framework for Everyone

LLM inference in C/C++

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 distributed, fast open-source graph database featuring horizontal scalability and high availability

Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

GSQL Graph Algorithms

High-performance Non-negative Matrix Factorizations (NMF) - Python/C++

Distributed NMF/NTF Library

Leon Bottou's SGD

Anomaly Detection in Dynamic Graphs

Static (Python) and streaming (C++) implementations of xStream (KDD 2018).