ZetaForge XAI Torch Pipeline

Fit interpretable models. Explain blackbox machine learning.

全民瘋AI系列 [探索可解釋人工智慧]

This repo contain ML & DL XAI methods.

Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

Explainable AI with Python, published by Packt

A collection of research materials on explainable AI/ML

OmniXAI: A Library for eXplainable AI

Interpretability and explainability of data and machine learning models

DL Backtrace is a new explainablity technique for deep learning models that works for any modality and model type.

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

Lime: Explaining the predictions of any machine learning classifier