This repository aggregates state-of-the-art resources for deep learning applied to natural language processing. It collects links to Stanford CS224D and Oxford Deep NLP course materials including lecture slides and videos, seminal papers on word vectors and neural probabilistic language models, and tutorials on topics like Word2Vec and word embeddings. The content targets sequence modeling tasks such as machine translation, image captioning, and dialog systems.