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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 gbrt machine-learning xgboost gbm gbdt

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

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

5885 898 165

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

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

4777 1723 132

pierrenodet/spark-ensemble

Ensemble Learning for Apache Spark 🌲

Scala (JVM): 2.11 2.12

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

12 6 2

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