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)

tensorflow implementation of Grad-CAM (CNN visualization)

A Simple pytorch implementation of GradCAM and GradCAM++

Official implementation of Score-CAM in PyTorch

DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,

This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers).

Visualizing Yolov5's layers using GradCam

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Neural network visualization toolkit for tf.keras

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

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

Pytorch implementation of various neural network interpretability methods

Wanna know what your model sees? Here's a package for applying EigenCAM on the new YOLO V8 model

Classification and Gradient-based Localization of Chest Radiographs using PyTorch.

GradCAM algorithm implementation for YOLOv3

Visualizing VGG16 Convolutional Neural Network using Keras

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

PyTorch implementation of pulse measurement neural networks.

This repository provides an app for exploring the predictions of an image classification network using several deep learning visualization techniques. Using the app, you can: explore network predictions with occlusion sensitivity, Grad-CAM, and gradient attribution methods, investigate misclassifications using confusion and t-SNE plots, visualiz…

A toolkit for efficent computation of saliency maps for explainable AI attribution. This tool was developed at Lawrence Livermore National Laboratory.