This repository implements the YOLOR (You Only Learn One Representation) paper, a unified neural network architecture that combines explicit and implicit knowledge for computer vision tasks. It extends the YOLOv4 family of object detectors with improved performance, achieving up to 58.2% AP on COCO at various input sizes. The implementation supports training, evaluation, and inference using PyTorch and is based on the Darknet framework.