wangyongjie-ntu/Awesome-explainable-AI

Interpretability and explainability of data and machine learning models

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

A curated list of Large Language Model (LLM) Interpretability resources.

A game theoretic approach to explain the output of any machine learning model.

A curated list of Machine Learning Surveys, Tutorials and Books.

The AI Compendium, previously called the ML Compendium, curates resources and explanations of machine learning (ML) and deep learning, from a business problem through data, AI, engineering, and product.

Fit interpretable models. Explain blackbox machine learning.

Resources to learn AI