A collection of infrastructure and tools for research in neural network interpretability.

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

An unofficial pytorch implementation for "Learning Active Contour Models for Medical Image Segmentation" by Chen, Xu, et al.

An implementation of a convolutional neural network with a spatial transformer

PyTorch deep learning models for experiments in morphology