pytorch-3dunet is a popular Pytorch implementation of the standard 3D U-Net and its variant Residual 3D U-Net for volumetric semantic segmentation. It provides common functionalities for neural network training and inference accessible via a convenient config-based interface. It has been widely used by researchers and machine learning practitioners.