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Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
Created
2020-03-23
161 commits to main branch, last one 11 days ago
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
Created
2017-06-09
85 commits to master branch, last one 9 months ago
InterpretDL: Interpretation of Deep Learning Models,基于『飞桨』的模型可解释性算法库。
Created
2020-06-22
492 commits to master branch, last one 3 months ago
Pytorch implementation of various neural network interpretability methods
lrp
gradcam
pytorch
deeplift
deconvnet
deepdream
smoothgrad
saliency-map
interpretable
cnn-visualization
nn-interpretability
integrated-gradients
taylor-decomposition
occlusion-sensitivity
gradient-visualization
guided-backpropagation
activation-maximization
interpretability-methods
interpretable-deep-learning
uncertainty-interpretability
Created
2020-10-12
17 commits to main branch, last one 2 years ago