GEBI: Global Explanations for Bias Identification. Open source code for discovering bias in data with skin lesion dataset
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Updated
Feb 20, 2022 - Jupyter Notebook
GEBI: Global Explanations for Bias Identification. Open source code for discovering bias in data with skin lesion dataset
SLISEMAP: Combining supervised dimensionality reduction with local explanations
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.
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