Showing 1-5 of 5 projects
A high-performance gradient boosting library for machine learning tasks on CPUs and GPUs.
An AutoML Python package for tabular data with feature engineering, hyperparameter tuning, and automatic documentation.
A curated collection of research papers on decision, classification and regression trees with implementations.
CatBoost tutorials repository providing hands-on examples and guides for the open-source machine learning library.
A curated list of gradient boosting research papers with implementations in Python.
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