nlp-tutorial

Why we included this project

Learning how modern NLP models actually work under the hood is easier here than almost anywhere else. Each classic architecture, from NNLM and Word2Vec through TextCNN, Seq2Seq with attention, the Transformer, and BERT, is implemented in a single compact script, most under 100 lines, so you can read the whole thing instead of hunting through a large codebase. Every section pairs the code with the original research paper it is based on, and most come with a ready-to-run Colab notebook, which makes it easy to step through the training loop and see the model behave. It is a teaching resource rather than a deployable library, so treat it as a guided tour of the field's foundations rather than something to drop into production. For students, researchers brushing up on fundamentals, or engineers who want to understand the internals of the models they use daily, the clarity of the walkthroughs is the main draw.