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

Apache License 2.0

xgboost

Other

XGBoost.jl

High performance gradient boosting for Ruby

xgboost-ruby

Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

deepdetect

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

h2o-3

Run XGBoost model and make predictions in Node.js

xgboost-node

MIT License

A fast xgboost feature selection algorithm

BoostARoota

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

xgboost

XGBoost.jl

xgboost-ruby

xgboost-ruby

deepdetect

h2o-3

xgboost-node

xgboost-ruby

BoostARoota

benchm-ml

clj-boost