guided-backpropagation topic

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-...

Karol-G

Pytorch implementation of convolutional neural network visualization techniques

utkuozbulak

Public facing deeplift repo

kundajelab

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...

yizt

PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)

kazuto1011

TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation

conan7882

📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.

ashutosh1919

Pytorch implementation of various neural network interpretability methods

hans66hsu

In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)

TooTouch

Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream

hnguyentt