gradcam

There are 3 repositories under gradcam topic.

torch-cam
frgfm / torch-cam
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)
activation-maps class-activation-map cnn deep-learning grad-cam gradcam gradcam-plus-plus interpretability interpretable-deep-learning python pytorch saliency-map score-cam smoothgrad
Language:Python 2038
triplet-attention
landskape-ai / triplet-attention
Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
arxiv attention-mechanism attention-mechanisms computer-vision convolutional-neural-networks deep-learning detection gradcam imagenet paper triplet-attention
Language:Jupyter Notebook 413
haofanwang / Score-CAM
Official implementation of Score-CAM in PyTorch
score-cam cam cnn-visualization-technique saliency cnn-visualization pytorch visual-explanations explainability class-activation-maps gradient-free heatmap scorecam grad-cam gradcam
Language:Python 405
1Konny / gradcam_plus_plus-pytorch
A Simple pytorch implementation of GradCAM and GradCAM++
cnn-visualization gradcam gradcam-plus-plus interpretable-deep-learning
Language:Jupyter Notebook 358
keisen / tf-keras-vis
Neural network visualization toolkit for tf.keras
activation-maximization deep-learning explainability explainable-ai explainable-ml grad-cam gradcam gradcam-plus-plus keras keras-vis keras-visualization python saliency saliency-maps score-cam tensorflow visualization xai xai-library
Language:Python 315
insikk / Grad-CAM-tensorflow
tensorflow implementation of Grad-CAM (CNN visualization)
machinelearning convolutional-neural-networks visualization tesnorflow gradcam grad-cam resnet vgg16
Language:Jupyter Notebook 307
pooya-mohammadi / yolov5-gradcam
Visualizing Yolov5's layers using GradCam
convolutional-neural-networks deep-learning deeputils gradcam pytorch visualizing yolov5
Language:Jupyter Notebook 288
chitra
aniketmaurya / chitra
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
tensorflow image-processing object-detection deep-learning image-dataset visualization gradcam model-interpretation model-visualization image-classification bounding-boxes model-deployment mlops model-serving python machine-learning fastapi hacktoberfest pytorch
Language:Python 224
AnshMittal1811 / MachineLearning-AI
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).
3d-computer-vision audio-signal-processing computer-vision convolutional-neural-networks deep-learning deep-neural-networks generative-models gradcam graph-neural-networks image-classification lidar-point-cloud machine-learning neural-network neural-networks neural-radiance-fields neural-rendering pytorch transformers vision-transformer
Language:Jupyter Notebook 202
rigvedrs / YOLO-V8-CAM
Wanna know what your model sees? Here's a package for applying EigenCAM on the new YOLO V8 model
interpretability yolov8 eigencam deeplearning computer-vision pytorch class-activation-map gradcam yolo
Language:Jupyter Notebook 130
rsk97 / Diabetic-Retinopathy-Detection
DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,
image-processing diabetic-retinopathy-detection sklearn svm-classifier knn-classification machine-learning gradcam deep-learning medical-imaging
Language:Jupyter Notebook 118
hans66hsu / nn_interpretability
Pytorch implementation of various neural network interpretability methods
pytorch lrp cnn-visualization interpretable-deep-learning interpretable saliency-map deepdream guided-backpropagation integrated-gradients smoothgrad activation-maximization deconvnet occlusion-sensitivity deeplift gradcam gradient-visualization interpretability-methods uncertainty-interpretability taylor-decomposition nn-interpretability
Language:Jupyter Notebook 111
Berry-Wu / Visualization
visualization：filter、feature map、attention map、image-mask、grad-cam、human keypoint、guided-backpro
attention cam convolutional-neural-networks filter gradcam guided-backpropagation heatmap-visualization human-pose-estimation mae mask pytorch visaul
Language:Python 94
vizgradcam
gkeechin / vizgradcam
vizgradcam is the fastest way to visualize GradCAM with your Keras models.
deep-learning gradcam keras tensorflow visualization
Language:Python 60
leftthomas / GradCAM
A PyTorch implementation of Grad-CAM based on ICCV 2017 paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization"
gradcam pytorch opencv3
Language:Python 57
Karol-G / Gcam
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++.
pytorch gradcam gradcam-plus-plus grad-cam guided-backpropagation guidedgradcam visualization saliency cnn-visualization guided-grad-cam segmentation 2d 3d medical-imaging gradient-visualization gcam
Language:Python 49
xrays-and-gradcam
priyavrat-misra / xrays-and-gradcam
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
fine-tuning vgg16 resnet18 densenet121 gradcam pytorch-implementation covid-19 xrays transfer-learning imbalanced-data oversampling radiographs pneumonia deep-learning cnn early-stopping localization
Language:Jupyter Notebook 49
fastcam
LLNL / fastcam
A toolkit for efficent computation of saliency maps for explainable AI attribution. This tool was developed at Lawrence Livermore National Laboratory.
cnn-visualization deep-learning demo explainable-ai gradcam interpretability pytorch pytorch-gradcam saliency saliency-maps visual-explanations xai
Language:Jupyter Notebook 44
samson6460 / tf_keras_gradcamplusplus
tensorflow.keras implementation of gradcam and gradcam++
tensorflow2 tensorflow keras tensorflow-keras gradcam gradcam-plus-plus deep-learning deeplearning neural-network neural-networks
Language:Python 41
Oichii / DeepPulse-pytorch
PyTorch implementation of pulse measurement neural networks.
gradcam pytorch hr-cnn physnet-3d physnet pulse heart-rate
Language:Python 40
matlab-deep-learning / Explore-Deep-Network-Explainability-Using-an-App
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, visualize layer activations, and many more techniques to help you understand and explain your deep network’s predictions.
deep-learning explainable-ai gradcam interpretable-deep-learning matlab matlab-deep-learning pretrained-models transfer-learning
Language:MATLAB 35
koriavinash1 / BioExp
Explainability of Deep Learning Models
explainable-ai causal-inference causality dissection ablation rct intervention uncertainty activation-maximization gradcam clustering interpretability explainability concept-extraction joint-analysis interpretable-ai
Language:Python 29
pifalken / YOLOv3-GradCAM
GradCAM algorithm implementation for YOLOv3
pytorch yolov3 gradcam
Language:Python 28
da2so / GradCAM_PyTorch
GradCAM Pytorch
explainable-ai gradcam
Language:Python 27
himanshurawlani / convnet-interpretability-keras
Visualizing VGG16 Convolutional Neural Network using Keras
convolutional-neural-networks deconvnet filters gradcam heatmaps keras tensorflow vgg16 visualization
Language:Jupyter Notebook 27
hnguyentt / cnn-visualization-keras-tf2
Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream
cnn-visualization filter-visualization gradcam deepdream feature-visualization guided-backpropagation guided-grad-cam tf2 keras-tensorflow demos
Language:Jupyter Notebook 27
hnguyentt / GradCAM_and_GuidedGradCAM_tf2
Implementation of GradCAM & Guided GradCAM with Tensorflow 2.x
demo gradcam guided-backpropagation guided-grad-cam keras-tensorflow tensorflow2 visualization
Language:Jupyter Notebook 26
cnn_explainer
gsurma / cnn_explainer
Making CNNs interpretable.
cnn cnn-classification python pytorch convolutional-neural-networks convolutional-neural-network interpretability explainable-ai occlusion occlusions imagenet imagenet-classifier machine-learning artificial-intelligence gradcam gradcam-visualization gradcam-heatmap heatmaps cnn-explainer
Language:Jupyter Notebook 19
ayulockin / interpretabilitycnn
Custom Keras Callbacks for Feature Visualization, Class Activation Map, Grad-CAM
cam gradcam gradcam-visualization feature-visualization keras tensorflow classification
Language:Jupyter Notebook 15
Mahiro2211 / GradCAM_Auto
这是一个用于计算ViT及其变种模型的GradCAM自动脚本，可以自动处理批量的图像 A GradCAM automatic script to visualize the model result
gradcam gradcam-visualization vision-transformer
Language:Jupyter Notebook 15
kamata1729 / visualize-pytorch
Pytorch implementation of gradCAM, guidedBackProp, smoothGrad
gradcam guidedbackprop python pytorch smoothgrad visualization
Language:Python 12
stavrostheocharis / easy_explain
An XAI library that helps to explain AI models in a really quick & easy way
artificial-intelligence explainable-ai explainable-artificial-intelligence gradcam image lrp occlusion xai xai-library yolov8
Language:Python 12
SerdarHelli / The-Classification-of-Thyroid-Tumors-on-UltraSound-Images-using-Deep-Learning-Methods
The Basic Classification
thyroid deep-learning gradcam-heatmap gradcam ultrasound thyroid-ultrasound-image thyroid-cancer thyroid-disease-detection thyroid-tumors
Language:Jupyter Notebook 11
Why
mburaksayici / Why
Frame-agnostic XAI Library for Computer Vision, for understanding why models behave that way.
explainable-ai gradcam gradcam-heatmap gradcam-plus-plus pytorch pytorch-implementation tensorflow xai
Language:Jupyter Notebook 10
alinstein / X_RAY
Weakly supervised Classification and Localization of Chest X-ray images
chest-xray-images chestxpert chestxray14 class-activation-maps cnn densenet disease-location gradcam gradcam-plus-plus heatmap nih-chest-x-ray
Language:Python 9
soumik12345 / GradCam
Tensorflow 2.2.0 implementation of GradCam
tensorflow tensorflow2 gradcam deep-learning explainable-ai
Language:Jupyter Notebook 9

gradcam

frgfm / torch-cam

landskape-ai / triplet-attention

haofanwang / Score-CAM

1Konny / gradcam_plus_plus-pytorch

keisen / tf-keras-vis

insikk / Grad-CAM-tensorflow

pooya-mohammadi / yolov5-gradcam

aniketmaurya / chitra

AnshMittal1811 / MachineLearning-AI

rigvedrs / YOLO-V8-CAM

rsk97 / Diabetic-Retinopathy-Detection

hans66hsu / nn_interpretability

Berry-Wu / Visualization

gkeechin / vizgradcam

leftthomas / GradCAM

Karol-G / Gcam

priyavrat-misra / xrays-and-gradcam

LLNL / fastcam

samson6460 / tf_keras_gradcamplusplus

Oichii / DeepPulse-pytorch

matlab-deep-learning / Explore-Deep-Network-Explainability-Using-an-App

koriavinash1 / BioExp

pifalken / YOLOv3-GradCAM

da2so / GradCAM_PyTorch

himanshurawlani / convnet-interpretability-keras

hnguyentt / cnn-visualization-keras-tf2

hnguyentt / GradCAM_and_GuidedGradCAM_tf2

gsurma / cnn_explainer

ayulockin / interpretabilitycnn

Mahiro2211 / GradCAM_Auto

kamata1729 / visualize-pytorch

stavrostheocharis / easy_explain

SerdarHelli / The-Classification-of-Thyroid-Tumors-on-UltraSound-Images-using-Deep-Learning-Methods

mburaksayici / Why

alinstein / X_RAY

soumik12345 / GradCam