gradient-visualization

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utkuozbulak /pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

grad-cam pytorch segmentation gradient cam saliency deep-dream guided-backpropagation guided-grad-cam gradient-visualization cnn-visualization smooth-grad

UpdatedJan 1, 2025
Python

hans66hsu /nn_interpretability

Star118

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

UpdatedMar 8, 2022
Jupyter Notebook

fitushar /3D-Grad-CAM

Star79

This repo contains Grad-CAM for 3D volumes.

grad-cam cnn 3d-models gcam gradient-visualization 3d-visualization-model cnn-visualization tensorflow2 tensorflow2-models 3d-grad-cam

UpdatedAug 26, 2020
Jupyter Notebook

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

UpdatedNov 17, 2020
Python

chloewongwy /COMP4423-Computer-Vision-Assignment-2

Star0

The project explores CNN architectures (ResNet vs VGG, Deformable CNNs) and 3D scene reconstruction with Tiny NeRF, including ray sampling and volume rendering. Project Year: 2025

computer-vision deep-learning cnn pytorch vgg resnet gradient-visualization loss-landscape

UpdatedAug 26, 2025
Jupyter Notebook

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