NLP-Tutorials

Why we included this project

This repo is essentially a set of teaching scripts rather than a library you'd deploy. Each classic NLP model, from TF-IDF and word embeddings up through seq2seq, attention, the Transformer, and contextual pretrained models like ELMo, GPT, and BERT, comes as a compact standalone Python file. Paired with the author's Chinese tutorials on mofanpy.com, the code shows exactly how the math and architecture translate into working implementations. The deliberately minimal style makes it easy to follow the mechanism inside each algorithm before you move on to heavier frameworks. If you're trying to understand the inner workings of these models by reading and running small examples, this is a handy companion.