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)

Official implementation of Score-CAM in PyTorch

Neural network visualization toolkit for tf.keras

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

visualization：filter、feature map、attention map、image-mask、grad-cam、human keypoint、guided-backpro

vizgradcam is the fastest way to visualize GradCAM with your Keras models.

A PyTorch implementation of Grad-CAM based on ICCV 2017 paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization"

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++.

tensorflow.keras implementation of gradcam and gradcam++

PyTorch implementation of pulse measurement neural networks.

Explainability of Deep Learning Models

GradCAM Pytorch

GradCAM algorithm implementation for YOLOv3

[CVPR 2025] Code for "Notes-guided MLLM Reasoning: Enhancing MLLM with Knowledge and Visual Notes for Visual Question Answering".

An XAI library that helps to explain AI models in a really quick & easy way

Pytorch implementation of gradCAM, guidedBackProp, smoothGrad

Weakly supervised Classification and Localization of Chest X-ray images

An API to better understand and visualize the inner workings of a CNN with GradCam; currently MobileNet

This repository contains the PyTorch code for our ICIAP 2021 paper “Avoiding Shortcuts in Unpaired Image-to-Image Translation”.

Applying GradCAM method with 3 kinds of CNN-based model for NLP classification task on french dataset.