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)

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。

Pytorch implementation of various neural network interpretability methods

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

PyTorch implementation of 'Vanilla' Gradient, Grad-CAM, Guided backprop, Integrated Gradients and their SmoothGrad variants.

Pytorch implementation of gradCAM, guidedBackProp, smoothGrad

PyTorch re-implementation of SmoothGrad

"XAI를 위한 Attribution Method 접근법 분석 및 동향 Analysis and Trend of Attribution Methods for XAI" 에서 사용한 코드와 예시를 공개