SLISEMAP: Combining supervised dimensionality reduction with local explanations
GEBI: Global Explanations for Bias Identification. Open source code for discovering bias in data with skin lesion dataset
Generating global explanations from local ones
IN PROGRESS - after the paper "Shapley-Lorenz decompositions in eXplainable Artificial Intelligence" by Giudici and Raffinetti - 2020
A scoring system for explainability
A simple and explainable deep learning model for NLP.
This repository presents a comprehensive research paper exploring the role of Explainable Artificial Intelligence (XAI) in modern Machine Learning. It aims to shed light on the interpretability of 'black-box' models like Neural Networks, Explainable AI and highlights the need for transparent, human-understandable ML systems.
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