Explainable Ai

shapJupyter Notebook

A unified Python library for explaining any machine learning model's predictions using Shapley values from game theory.

pytorch-grad-camPython

A PyTorch library providing state-of-the-art methods for generating visual explanations (Class Activation Maps) for computer vision models.

LimeJavaScript

A Python library that explains predictions of any machine learning classifier using local interpretable model-agnostic explanations.

InterpretMLC++

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

shapashJupyter Notebook

A Python library that makes machine learning models interpretable and transparent through user-friendly visualizations and a web application.

AlibiPython

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

Awesome Explainable Graph Reasoning

A curated collection of research papers and software for explainable graph machine learning and reasoning.

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.