Model Auditing

Awesome Machine Learning Interpretability

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

shapashJupyter Notebook

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

dalexPython

A model-agnostic toolkit for exploring and explaining the behavior of complex machine learning models in R and Python.