GitHub topics: occlusion-sensitivity
kajendra10/WOA7015-CHESTXRAY-CNN-RESNET50
A CNN model developed to observe and predict lung related chronic diseases at an early stage. ResNet-50 architecture is used to classify x-ray images and Occlusion Sensitivity Function is used to visualise the image with its affected areas.
Language: Python - Size: 63.5 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

kazuto1011/grad-cam-pytorch
PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
Language: Python - Size: 42.6 MB - Last synced at: 6 months ago - Pushed at: over 5 years ago - Stars: 787 - Forks: 174

hans66hsu/nn_interpretability
Pytorch implementation of various neural network interpretability methods
Language: Jupyter Notebook - Size: 30.5 MB - Last synced at: 12 months ago - Pushed at: about 3 years ago - Stars: 104 - Forks: 19

oswaldoludwig/Sensitivity-to-occlusion-Keras-
This script evaluates the sensitivity of VGG-16 to occlusion using Keras
Language: Python - Size: 503 KB - Last synced at: over 1 year ago - Pushed at: over 8 years ago - Stars: 14 - Forks: 4

pranshu28/cnn-viz
Visualizing and interpreting features of CNN model
Language: Python - Size: 54.8 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 3

matheushent/covid-19-detector
Repository containing scripts to train and test a neural network whose goal is to detect presence of COVID-19
Language: Python - Size: 21.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 5
