This repository implements SuperPoint, a deep learning paper on self-supervised interest point detection and description. The project provides neural network implementations in both Tensorflow and Pytorch for detecting keypoints in images and generating feature descriptors for matching. It includes pre-trained weights and benchmark results on the HPatches dataset for evaluating detector repeatability and descriptor matching under illumination and viewpoint changes.