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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 gbm gbrt xgboost machine-learning gbdt

20391 7862 413

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

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

5658 858 155

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

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

4777 1723 132

pierrenodet/spark-ensemble

Ensemble Learning for Apache Spark 🌲

Scala (JVM): 2.11 2.12

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

5 3 2

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