This repository compiles semantic segmentation models based on the UNet architecture, primarily implemented in PyTorch. It includes various UNet variants such as U-Net, V-Net, 3D U-Net, and H-DenseUNet spanning from 2015 onward, with links to original papers and alternative framework implementations. The focus is on medical image segmentation applications, and the project serves as a reference library for deep learning practitioners working on biomedical imaging tasks.