Pytorch implementation of convolutional neural network visualization techniques
Pytorch implementation of various neural network interpretability methods
This repo contains Grad-CAM for 3D volumes.
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++.
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
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