Nothing Special   »   [go: up one dir, main page]
Skip to content
#

gradient-visualization

Star

Here are 4 public repositories matching this topic...

Language: All
Filter by language
All 4 Jupyter Notebook 2 Python 2

hans66hsu / nn_interpretability

Star 111

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

Star 49

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

Improve this page

Add a description, image, and links to the gradient-visualization topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the gradient-visualization topic, visit your repo's landing page and select "manage topics."

Learn more