A collection of notebooks to explore bias, fairness and explainability of machine learning models
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Updated
Feb 7, 2021 - Jupyter Notebook
A collection of notebooks to explore bias, fairness and explainability of machine learning models
Explainable AI (XAI) Notebooks
Repository containing sample datasets, models and notebooks to start using EXPAI.
This repository introduces different Explainable AI approaches and demonstrates how they can be implemented with PyTorch and torchvision. Used approaches are Class Activation Mappings, LIMA and SHapley Additive exPlanations.
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