This repository contains Jupyter Notebooks and code samples from the O’Reilly book Natural Language Processing with PyTorch. It covers foundational NLP deep learning topics including feed-forward networks, word embeddings, sequence modeling, CNNs for text, and neural machine translation. The materials teach how to build intelligent language applications using PyTorch, with examples for sentiment classification, surname generation, and other NLP tasks.