Decision Trees

LightGBMC++

A fast, distributed gradient boosting framework based on decision tree algorithms for ranking, classification, and other machine learning tasks.

lightgbmC++

A fast, distributed gradient boosting framework based on decision tree algorithms for ranking, classification, and other ML tasks.

CatBoostC++

A high-performance gradient boosting library with best-in-class handling of categorical features and support for CPU/GPU training.

Awesome Decision Tree PapersPython

A curated collection of research papers on decision, classification, and regression trees with implementations from top ML conferences.

imodelsJupyter Notebook

A Python package for concise, transparent, and accurate predictive modeling with sklearn-compatible interpretable models.