#Guided-backpropagation
Showing 5 of 5 repositories tagged #guided-backpropagation, ranked by stars
utkuozbulak
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
Score
0
โ
8.2k
โ 1.5k
+3/day
Python
kazuto1011
grad-cam-pytorch
PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
Score
100
โ
804
โ 167
โ
Python
ashutosh1919
explainable-cnn
๐ฆ PyTorch based visualization package for generating layer-wise explanations for CNNs.
Score
67
โ
234
โ 33
โ
Python
conan7882
CNN-Visualization
TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation
Score
33
โ
198
โ 43
โ
Python
Karol-G
Gcam
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++.
Score
0
โ
50
โ 6
โ
Python