Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

Neural network visualization toolkit for tf.keras

Gcam is an easy to use Pytorch library that makes model predictions more interpretable for humans. It allows the generation of attention maps with multiple methods like Guided Backpropagation, Grad-Cam, Guided Grad-Cam and Grad-Cam++.

tensorflow.keras implementation of gradcam and gradcam++

Efficient explaining AI algorithms for Keras models

Weakly supervised Classification and Localization of Chest X-ray images

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

One of the firsts dataset level explanability libraries for 1d signal using GRAD-CAM++