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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.
Collection of notebooks performing analysis of data and visualisations of outputs for a research paper on evaluation of GHG emissions in Burmese reservoirs