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, Finer-CAM, LeGrad, RefineCAM)
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
Educational MICCAI tutorial on stress-testing saliency maps, shortcut learning, and trustworthy medical imaging AI.
Interactive and interpretable COPD screening from respiratory sounds using AeroCOPDNet, with log-Mel analysis, SmoothGrad saliency, deletion-based faithfulness testing, audio-quality checks, and a Streamlit human-review dashboard.
Five-day value-added course on Explainable Artificial Intelligence at Vel Tech, with interactive lecture pages, browser labs, Colab notebooks and PDF lecture notes. Covers interpretable models, permutation importance, LIME, SHAP, saliency maps, Grad-CAM, GEMEX, calibration, fairness and governance.
Capture cinematic photos with this WeChat Miniprogram featuring real-time filters, professional camera controls, and custom watermarks.