This repository provides a PyTorch implementation of the EDSR (Enhanced Deep Residual Networks) paper from CVPRW 2017. The model is designed for single image super-resolution, a task that reconstructs high-resolution images from low-resolution inputs. It uses deep residual network architecture and includes scripts for training models from scratch or using pre-trained weights for image enlargement.