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dmlc/xgboost

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

Scala (JVM): 2.11 2.12

distributed-systems xgboost gbrt gbdt gbm machine-learning

20917 7982 412

catboost/catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Scala (JVM): 2.11 2.12

gradient-boosting gpu cuda kaggle decision-trees data-mining r gbm tutorial gpu-computing big-data coreml categorical-features gbdt catboost python data-science machine-learning

5986 906 162

h2oai/h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Scala (JVM): 2.10 2.11

multi-threading gpu distributed big-data random-forest h2o gbm opensource python pca automl deep-learning ensemble-learning java naive-bayes r hadoop data-science machine-learning spark

4777 1723 132

pierrenodet/spark-ensemble

Ensemble Learning for Apache Spark 🌲

Scala (JVM): 2.11 2.12

bagging mllib spark-ml ensemble-learning boosting scala ensembling gbm stacking machine-learning spark

12 6 2

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