Interpretable Ai

pytorch-grad-camPython

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

InterpretMLC++

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

Awesome Explainable AIMarkdown

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

pyGAMPython

A Python library for building Generalized Additive Models (GAMs) with a scikit-learn-like API, emphasizing interpretability and performance.

anchorJupyter Notebook

A model-agnostic method for generating high-precision rule-based explanations for black-box classifier predictions.