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Awesome Decision Tree PapersPython

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

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A minimal benchmark comparing scalability, speed, and accuracy of popular open-source machine learning libraries for binary classification.

Awesome Gradient Boosting PapersPython

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

ChefBoostPython

A lightweight Python decision tree framework supporting ID3, C4.5, CART, CHAID, regression trees, gradient boosting, random forest, and AdaBoost with categorical feature support.