Ensemble Methods
Showing 7 of 7 projects
A curated collection of research papers on decision, classification, and regression trees with implementations from top ML conferences.
Python implementation of the Boruta all-relevant feature selection method with scikit-learn compatibility.
A curated list of resources for random forest and other tree-based machine learning methods.
A curated collection of gradient boosting research papers with implementations from top machine learning conferences.
A Rust crate providing efficient implementations of common machine learning algorithms with support for dense and sparse data.
A comprehensive PhD dissertation providing an in-depth theoretical and practical analysis of random forests, from algorithmic foundations to interpretability.
Python implementation of the RuleFit algorithm for interpretable machine learning predictions using rule ensembles.
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