The Java gRPC implementation. HTTP/2 based RPC

A Flexible and Powerful Parameter Server for large-scale machine learning

AI on Hadoop

StackNet is a computational, scalable and analytical Meta modelling framework

Java教程，包括多线程，泛型，反射，IO，容器类,注解

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization …

Pure Java implementation of XGBoost predictor for online prediction tasks.

Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "

Java library and command-line application for converting XGBoost models to PMML

Ytk-mp4j is a fast, user-friendly, cross-platform, multi-process, multi-thread collective message passing java library which includes gather, scatter, allgather, reduce-scatter, broadcast, reduce, …

Java library and command-line application for converting TensorFlow models to PMML

Spark example code demonstrating RDD, DataFrame and DataSet APIs.