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)

The implementation of the UPC published Bachelor's Thesis of Hugo Aranda titled "Deep Learning Study for Pulmonary Illness Diagnosis"

Deep Learning for SAR Ship classification: Focus on Unbalanced Datasets and Inter-Dataset Generalization

This is the public version of my master's research work.

This repository contains the official code for the paper "Learning from the Few: Fine-grained Approach to Wrist Pathology Recognition on a Limited Dataset".

TeleXGI: Explainable Gastrointestinal Image Classification for TeleSurgery Systems

GradCAM XAI service

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

Neural network visualization toolkit for tf.keras

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

Content-Based Image Retrieval (CBIR) is a significant field within computer vision that empowers efficient exploration and retrieval of images based on their visual content.

Interpretable YOLOv5

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

One of the firsts dataset level explanability libraries for 1d signal using GRAD-CAM++

Class Activation Map (CAM and Grad-CAM) Analysis of fine-tuned CNNs with transfer learning for Pokemon classification task to understand the features learned by deep CNN

A CT-scan of your CNN

Explainability of Deep Learning Models

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

Train an image classification model with NeurIPS 2021, use GradCAM to visualize the last layer of the model and Super-Resolution it via ECCV 2022.

Visualization Tool For Keras