This repository contains PyTorch code implementations for a deep learning textbook by Qiu Xipeng. It includes Jupyter notebooks for 10 chapters covering foundational topics like feedforward networks, convolutional networks, and recurrent networks, as well as advanced topics including attention mechanisms, graph neural networks, and large language models. Each chapter provides runnable notebooks with implementation notes and pytest sanity tests.