This repository provides a PyTorch implementation of an unsupervised learning method that discriminates between individual image instances without labels. The approach uses Noise Contrastive Estimation (NCE) loss and a memory bank mechanism to learn compact 128-dimensional feature representations from ImageNet. It supports nearest neighbor classification on learned features and provides pretrained ResNet models.