Fairness

InterpretMLC++

An open-source Python package for training interpretable glassbox models and explaining blackbox machine learning systems.

Awesome Machine Learning Interpretability

A curated list of practical resources for responsible machine learning, covering interpretability, governance, safety, and ethics.

AI Fairness 360Python

An extensible open-source toolkit for detecting, mitigating, and explaining bias in machine learning datasets and models.

Awesome Decision Tree PapersPython

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