Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Pytorch implementation of convolutional neural network visualization techniques

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)

[ICCV 2017] Torch code for Grad-CAM

PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

An implementation of Grad-CAM with keras

Official implementation of Score-CAM in PyTorch

Neural network visualization toolkit for tf.keras

tensorflow implementation of Grad-CAM (CNN visualization)

A generalized gradient-based CNN visualization technique

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

Implementation of Grad CAM in tensorflow

📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.

TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

🌈 📷 Gradient-weighted Class Activation Mapping (Grad-CAM) Demo

This repo contains Grad-CAM for 3D volumes.

COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807

Visualizations for understanding the regressed wheel steering angle for self driving cars