Vgg16 Python Packages

starttf

A tensorflow batteries included kit to write tensorflow networks from scratch or use existing ones.

seg-torch

Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.

covidxai

Implementation of explainability algorithms (layer-wise relevance propagation, local interpretable model-agnostic explanations, gradient-weighted class activation mapping) on computer vision architectures to identify and explain regions of COVID 19 pneumonia in chest X-ray and CT scans.

pytorch-vgg-named

Provides VGG networks to do things like this: r11, r31, r51 = net.forward(targets=['relu1_1', 'relu3_1', 'relu5_1']). Nuff said. :)

segmentation-torch

Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.