This repository provides Jupyter Notebook implementations of foundational deep learning NLP models following Stanford’s cs-224n curriculum. It covers word embedding models (Skip-gram with naive softmax and negative sampling, GloVe), sequence classification (window-based NER), and structured prediction (neural dependency parsing). All models are built with PyTorch and include links to original papers.