This repository contains a series of Jupyter notebooks demonstrating how to use PyTorch for common NLP problems with deep learning. Topics include bag-of-words text classification, word embeddings, RNN-based sentiment analysis, character-level language modeling, seq2seq translation with attention, transformer translation, and fine-tuning GPT-2 for text generation.