This repository implements 3D U-Net architectures including standard, residual, and squeeze-and-excitation variants for volumetric semantic segmentation. It supports both binary and multi-class segmentation as well as regression tasks like de-noising. The models have been applied to connectomics and medical volume datasets, with configurations available for both 3D and 2D segmentation tasks.