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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