This repository provides coding conventions and best practices for PyTorch development, covering Python style guidelines, PyTorch-specific recommendations, and reusable building blocks for deep learning components such as self-attention, perceptual loss, and spectral normalization. It includes a CIFAR-10 training example and setup guides for development environments.