CatBoost is a fast, scalable, high performance gradient boosting on decision trees library. Used for ranking, classification, regression and other ML tasks.
- catboost Public
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.C 7,017 Apache-2.0 1,103 476 (22 issues need help) 37 Updated
Mar 22, 2023
- benchmarks Public
- catboost-viewer Public
Standalone application for plotting charts with different training statistics in a browser.