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.
data-science
machine-learning
notebook
pytorch
transfer-learning
cam
lime
class-activation-maps
explainable-ai
explainable-ml
shap
explainable-deepneuralnetwork
hymenoptera-dataset
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Updated
Jul 1, 2022 - Jupyter Notebook