This repository contains Facebook Research’s PyTorch implementation of the SimSiam paper, which explores simple Siamese representation learning for self-supervised visual representation training. The code supports unsupervised pre-training of ResNet-50 on ImageNet using multi-GPU distributed training, followed by linear classification evaluation on frozen features. It builds upon MoCo v2 augmentation recipes and uses the LARS optimizer for classification training.