CatBoost
CatBoost is a fast, scalable, high performance gradient boosting on decision trees library. Used for ranking, classification, regression and other ML tasks.
Pinned Repositories
benchmarks
Comparison tools
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.
catboost-viewer
Standalone application for plotting charts with different training statistics in a browser.
docs
tutorials
CatBoost tutorials repository
CatBoost's Repositories
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.
catboost/tutorials
CatBoost tutorials repository
catboost/benchmarks
Comparison tools
catboost/catboost-viewer
Standalone application for plotting charts with different training statistics in a browser.
catboost/docs