Xai

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.

AlibiPython

A Python library for explaining machine learning models using black-box, white-box, local, and global interpretation methods.

AI Explainability 360Python

An open-source Python toolkit providing a comprehensive collection of algorithms for interpreting and explaining machine learning models and datasets.

Awesome Explainable AIMarkdown

A curated collection of research papers, books, courses, and Python libraries for explainable AI (XAI) and machine learning interpretability.