Ensemble Methods

Awesome Decision Tree PapersPython

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

boruta_pyPython

Python implementation of the Boruta all-relevant feature selection method with scikit-learn compatibility.

Awesome Random Forest (GitHub)**

A curated list of resources for random forest and other tree-based machine learning methods.

Awesome Gradient Boosting PapersPython

A curated collection of gradient boosting research papers with implementations from top machine learning conferences.

rustlearnRust

A Rust crate providing efficient implementations of common machine learning algorithms with support for dense and sparse data.

Understanding random forests: from theory to practiceTeX

A comprehensive PhD dissertation providing an in-depth theoretical and practical analysis of random forests, from algorithmic foundations to interpretability.

RuleFitPython

Python implementation of the RuleFit algorithm for interpretable machine learning predictions using rule ensembles.