visual-explanations topic
visual-attribution
Pytorch Implementation of recent visual attribution methods for model interpretability
Score-CAM
Official implementation of Score-CAM in PyTorch
breakDown
Model Agnostics breakDown plots
Class_Feature_Visualization_Pyramid
[ICCVW 2019] PyTorch code for Class Visualization Pyramid for intpreting spatio-temporal class-specific activations throughout the network
live
Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN
fastcam
A toolkit for efficent computation of saliency maps for explainable AI attribution. This tool was developed at Lawrence Livermore National Laboratory.