model-explain

A comprehensive Python package for interpreting and explaining machine learning and deep learning models. Includes support for feature attention mechanisms and integrates popular explanation methods such as LIME, SHAP, Grad-CAM, permutation importance, and saliency maps. Offers a unified interface for tabular, image, and other data types to enhance model transparency and interpretability.