r-catboost (conda): 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.
Keywords: big-data|catboost|categorical-features|coreml|cuda|data-mining|data-science|decision-trees|gbdt|gbm|gpu|gpu-computing|gradient-boosting|kaggle|machine-learning|python|r|tutorial