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)
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Updated
Jul 26, 2024 - Python
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
One of the firsts dataset level explanability libraries for 1d signal using GRAD-CAM++
Efficient explaining AI algorithms for Keras models
tensorflow.keras implementation of gradcam and gradcam++
Weakly supervised Classification and Localization of Chest X-ray images
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
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++.
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