There are 8 repositories under guided-backpropagation topic.
Pytorch implementation of convolutional neural network visualization techniques
Public facing deeplift repo
PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation
Pytorch implementation of various neural network interpretability methods
visualization:filter、feature map、attention map、image-mask、grad-cam、human keypoint、guided-backpro
In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream
Implementation of GradCAM & Guided GradCAM with Tensorflow 2.x
Use your classification neural network for object detection and localization
Neural network visualization tool after an optional model compression with parameter pruning: (integrated) gradients, guided/visual backpropagation, activation maps for the cao model on the IndianPines dataset
This repository contains all my theroy reports, written assignments and programming code that I wrote/referrd for the DL course at IIT,Madras taught my advisor Prof.Mitesh Khapra.
Part of the experiments in "A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations"
Implementation of Guided GradCAM in Keras
Suite of methods that create attribution maps from image classification models.
Computer vision visualization such as Grad-CAM, etc.
CAM, Grad-CAM, Grad-CAM++ and Guided Backpropagation post-hoc explanation methods
AI for COVID-19
Unofficial Pytorch implementation of guided backpropagation