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4 results

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 versions: 2.11 2.12

distributed-systems gbdt gbm gbrt xgboost machine-learning

23523 476 411
pierrenodet/spark-ensemble

Ensemble Learning for Apache Spark 🌲

Scala versions: 2.11 2.12 2.13

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

18 2
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 versions: 2.11 2.12 2.13

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

6826 181
h2oai/h2o-3

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.

Scala versions: 2.10 2.11

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

6064 793 161