GitHub topics: grad-cam-visualization
AbidHasanRafi/brain-tumor-detection-streamlit
This project is a lightweight, interactive Streamlit application for classifying brain MRI scans into Glioma, Meningioma, or Pituitary tumor categories.
Language: Python - Size: 8 MB - Last synced at: 2 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0
Romilagarwal/diabetic_retinoplasty
A hybrid deep learning framework for automated diabetic retinopathy detection combining EfficientNetB0 with Swin Transformer attention mechanisms. Features Bayesian uncertainty quantification through Monte Carlo Dropout, explainable AI visualizations with Grad-CAM, and specialized preprocessing techniques.
Language: Python - Size: 52.4 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0
ashutosh1919/explainable-cnn
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
Language: Python - Size: 3.99 MB - Last synced at: 8 days ago - Pushed at: over 1 year ago - Stars: 226 - Forks: 33
manjaryp/GANvsGraphicsvsReal
Distinguishing Natural and Computer-Generated Images using Multi-Colorspace fused EfficientNet
Language: Jupyter Notebook - Size: 5.38 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 2
anoopkdcs/GANvsGraphicsvsReal Fork of manjaryp/GANvsGraphicsvsReal
Distinguishing Natural and Computer-Generated Images using Multi-Colorspace fused EfficientNet
Language: Jupyter Notebook - Size: 5.39 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
offoabhii/RobustEX
Improvising adversarial attack against prediction of neural network
Language: Python - Size: 25.4 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
usmarcv/deele-rad
DEELE-Rad: Deep Learning-based Radiomics
Language: Python - Size: 63.5 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
TyBruceChen/Grad-CAM-pytorch---Understand-deep-learning-from-higher-view
Gradient Class Activation Map (with pytorch): Visualize the model's prediction to help understand CNN and ViT models better
Language: Python - Size: 1.91 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
Arka-Bhowmik/mri_triage_normal
Deep Learning Breast MRI Segmentation and Classification
Language: Jupyter Notebook - Size: 14.6 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 6 - Forks: 1
gaurav104/WSS-CMER
Code for the paper : "Weakly supervised segmentation with cross-modality equivariant constraints", available at https://arxiv.org/pdf/2104.02488.pdf
Language: Python - Size: 656 KB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 20 - Forks: 3
AhmedBALAAZI/Detection-and-localization-of-COVID-19-and-Pneumonia-on-chest-radiographs
Detection and localization of COVID-19 on chest X-rays
Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
muyishen2040/Racing-AI-Reinforcement-Learning-for-Mario-Kart-64 Fork of bzier/gym-mupen64plus
Fork of the Mario Kart 64 Gym Environment. Includes training scripts for RL algorithms and Grad-CAM visualization
Language: Python - Size: 54.8 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
Neloy-Barman/Interpretable-Bengali-Fish-Recognizer
Collecting fish image data, after training classifiers grad-cam is applied for the prediction interpretation
Language: Jupyter Notebook - Size: 98.4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
Wenhao-Yang/GradientFrequencyAttention
Gradient Frequency Attention: Tell Neural Networks where speaker information is.
Language: Python - Size: 677 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
IDU-CVLab/Images_Preprocessing
Prerocessing the images before classification as well as visualizations aiming at understanding how the final model performs classification
Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
cm-awais/sar_performance_metrics
Deep Learning for SAR Ship classification: Focus on Unbalanced Datasets and Inter-Dataset Generalization
Language: Python - Size: 595 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
matteo-giri/bachelor-degree-thesis
Thesis name: Comparative evaluation of deep neural networks for automatic detection of violence scenes within videos
Size: 20 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
IbrahimSobh/see-inside-cnn
Going deeper into Deep CNNs through visualization methods: Saliency maps, optimize a random input image and deep dreaming with Keras
Language: Jupyter Notebook - Size: 41.9 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 68 - Forks: 16
NeelBhowmik/imfication
Image classification using deep learning models with activation map visualisation and TensorRT support
Language: Python - Size: 2.98 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
d4nh5u/Covid19_CT_Attention
Exploring the Application of Attention Mechanisms in Conjunction with Baseline Models on the COVID-19-CT Dataset
Language: Jupyter Notebook - Size: 98.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
miguelaltuve/ICHdetection
Intracerebral Hemorrhage Detection on Computed Tomography Images Using a Residual Neural Network
Language: MATLAB - Size: 263 MB - Last synced at: 11 days ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1
haksorus/mobilenetv2-cars-classification
PyTorch MobileNetV2 Stanford Cars Dataset Classification (0.85 Accuracy)
Language: Jupyter Notebook - Size: 5.46 MB - Last synced at: 6 months ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0
coderjolly/chest-x-ray-classification
This study tries to compare the detection of lung diseases using xray scans from three different datasets using three different neural network architectures using Pytorch and perform an ablation study by changing learning rates. The dimensional understanding is visualised using t-SNE and Grad-CAM for visualisation of diseases in x-ray scans.
Language: Jupyter Notebook - Size: 66.6 MB - Last synced at: 28 days ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
GBitocchi/Pneumonia-Detection-Chest-X-Ray-Exams
Master's thesis - Austral University - Pneumonia detection on X-ray chest exams
Language: Jupyter Notebook - Size: 4.04 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
shantanu-ai/Explainability-with-LTH
Repository of the course project of CMU 16-824 Visual Learning and Recognition
Language: Jupyter Notebook - Size: 124 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
baotramduong/Explainable-AI-Scene-Classification-and-GradCam-Visualization
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.
Language: Jupyter Notebook - Size: 24.8 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1
AhmadRK94/Image-Classification-PyTorch
image classification using deep learning
Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
behzadshomali/Grad_CAM_Pytorch
Have you ever asked yourself, which regions of the input image were considered more by the model? If so, Grad-CAM has exciting answers for you!
Language: Python - Size: 29.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
ZizZu94/resnet-grad-cam
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.
Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
PerXeptron/CAM-Localization
Heat Map :fire: Generation codes for using PyTorch and CAM Localization Algorithm.
Language: Python - Size: 58.8 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 0
WaterKnight1998/spegc-datathon
First position in Gran Canary Datathon 2021
Language: Jupyter Notebook - Size: 79.5 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 2
