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gradient-visualization

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hans66hsu / nn_interpretability

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Pytorch implementation of various neural network interpretability methods

pytorch deepdream saliency-map occlusion-sensitivity smoothgrad guided-backpropagation interpretable-deep-learning lrp gradient-visualization interpretable gradcam deconvnet cnn-visualization deeplift integrated-gradients activation-maximization interpretability-methods uncertainty-interpretability taylor-decomposition nn-interpretability
  • Updated Mar 8, 2022
  • Jupyter Notebook

Karol-G / Gcam

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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++.

visualization grad-cam pytorch medical-imaging segmentation 3d 2d gcam saliency guided-backpropagation guided-grad-cam gradient-visualization gradcam cnn-visualization gradcam-plus-plus guidedgradcam
  • Updated Nov 17, 2020
  • Python

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