Search Packages

unet

"pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.

bio-image-unet

Implementation of U-Net, U-Net++, and 3D U-Net in PyTorch for analysis of bio-images

keras-unet

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image segmentation tasks

pylocron

PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne). Other additions: AdEMAMix

napari-mm3

Mother machine image analysis through napari

torch-segment

A library for deep learning image segmentation using PyTorch

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.

ct-segnet

Automated 3D segmentation powered by 2D convolutional neural networks