Generation of 3D/ 2D attention maps for both classification and segmentation
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Jul 17, 2025 - Python
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grad-cam-visualization
Here are 55 public repositories matching this topic...
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
visualization grad-cam cnn pytorch saliency-map saliency-detection cnn-classification guided-backpropagation guided-grad-cam cnn-visualization-technique explainable-ai explainable-ml cnn-visualization cnn-pytorch pytorch-implementation grad-cam-visualization
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Aug 29, 2023 - Python
Going deeper into Deep CNNs through visualization methods: Saliency maps, optimize a random input image and deep dreaming with Keras
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May 17, 2020 - Jupyter Notebook
Code for the paper : "Weakly supervised segmentation with cross-modality equivariant constraints", available at https://arxiv.org/pdf/2104.02488.pdf
deep-learning grad-cam medical-imaging self-learning weakly-supervised-learning class-activation-maps brats class-activation-map multi-modal-imaging multi-modal-learning weakly-supervised-segmentation brats2019 grad-cam-visualization transformation-equivariance
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Nov 1, 2022 - Python
Deep Learning Breast MRI Segmentation and Classification
python docker machine-learning deep-learning tensorflow matlab keras grad-cam segmentation mri-images vgg16 u-net 2d-image grad-cam-visualization
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Sep 11, 2025 - Jupyter Notebook
First position in Gran Canary Datathon 2021
tensorflow keras grad-cam pytorch fastai gradcam weakly-supervised-detection tensorflow2 albumentations grad-cam-visualization weakly-supervised-object-detection gradcam-heatmap
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Sep 29, 2021 - Jupyter Notebook
We will build and train a Deep Convolutional Neural Network (CNN) with Residual Blocks to detect the type of scenery in an image. In addition, we will also use a technique known as Gradient-Weighted Class Activation Mapping (Grad-CAM) to visualize the regions of the inputs and help us explain how our CNN models think and make decision.
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Sep 10, 2021 - Jupyter Notebook
PyTorch MobileNetV2 Stanford Cars Dataset Classification (0.85 Accuracy)
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Jul 14, 2022 - Jupyter Notebook
Distinguishing Natural and Computer-Generated Images using Multi-Colorspace fused EfficientNet
deep-neural-networks computer-vision deep-learning computer-graphics grad-cam gan efficientnet grad-cam-visualization real-image classify-real-gan-images classify-real-graphics-image stattistical-significance natural-versus-computer-generated
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Mar 4, 2025 - Jupyter Notebook
Heat Map 🔥 Generation codes for using PyTorch and CAM Localization Algorithm.
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Jul 1, 2020 - Python
Deep Learning for SAR Ship classification: Focus on Unbalanced Datasets and Inter-Dataset Generalization
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Oct 18, 2024 - Python
Deep learning pipeline for classification of Cataract, Diabetic Retinopathy, Glaucoma and Normal using fundus images
machine-learning computer-vision jupyter-notebook cnn medical-imaging deep-learning-algorithms transfer-learning imageclassification diabetic-retinopathy glaucoma mobilenetv2 multiclass-image-classification fundus-image-analysis cataract fundus-image grad-cam-visualization fundus-images retinal-disease-detection fundus-image-classification
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Jul 4, 2025 - Jupyter Notebook
Curso de Redes Neuronales Convolucionales con PyTorch
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May 15, 2025 - Jupyter Notebook
Intracerebral Hemorrhage Detection on Computed Tomography Images Using a Residual Neural Network
app machine-learning computer-vision deep-learning neural-network matlab grad-cam biomedical-engineering resnet-18 grad-cam-visualization app-designer intracerebral-hemorrhage
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Jun 11, 2022 - MATLAB
Repository of the course project of CMU 16-824 Visual Learning and Recognition
computer-vision deep-learning cnn pytorch pruning cmu explainable-ai lottery-ticket-hypothesis visual-learning-recognition tcav cub200-2011 grad-cam-visualization vlr 16-824
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May 3, 2023 - Jupyter Notebook
Generate explanations for the ResNet50 classification using Grad-CAM and LIME (XAI Method)
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Mar 11, 2023 - Jupyter Notebook
A complete, straightforward digit classification project built with PyTorch, featuring CNN-based training, evaluation metrics, confusion matrix visualization, and XAI using Grad-CAM.
python image deep-learning image-processing grad-cam cnn pytorch artificial-intelligence classification image-classification convolutional-neural-network digits-recognition number-recognition cnn-classification explainable-ai explainable-ml explainability digits-classification grad-cam-visualization number-classification
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Oct 9, 2025 - Jupyter Notebook
Detection and localization of COVID-19 on chest X-rays
deep-neural-networks computer-vision ensemble-learning transfer-learning chest-xrays penumonia covid-19 grad-cam-visualization
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May 30, 2024 - Jupyter Notebook
Develop and train image classification models using advanced deep learning techniques to identify diseases specific to apples.
computer-vision deep-learning tensorflow grad-cam classification inceptionv3 normalization resnet-50 mobilenet imagehash desease tf-keras-vis grad-cam-visualization roc-auc-curve roc-auc-score
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Dec 8, 2023 - Jupyter Notebook
rad-Cam provides us with a way to look into what particular parts of the image influenced the whole model’s decision for a specifically assigned label. It is particularly useful in analyzing wrongly classified samples.
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Jun 8, 2022 - Jupyter Notebook
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