delip/PyTorchNLPBook resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2057 stars · 807 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Companion repository of Jupyter Notebook code and data for the O'Reilly book 'Natural Language Processing with PyTorch' by Delip Rao and Brian McMahan. It walks through neural NLP fundamentals from perceptrons and embeddings to sequence-to-sequence models and neural machine translation.

Use cases

• learn nlp with pytorch from scratch
• pytorch tutorial for text classification
• understand word embeddings and CBOW
• implement sequence-to-sequence models with attention
• build a neural machine translation example
• practice deep learning for sentiment analysis

When to choose

• you are reading the book and want runnable code per chapter
• you want hands-on Jupyter notebooks covering classic NLP deep learning techniques
• you are learning PyTorch through NLP examples

When to avoid

• you need production NLP pipelines or pretrained transformer models
• you want actively maintained code compatible with the latest PyTorch versions
• you need a library rather than educational example code

Facets

learning-resource · maturity maintenance

nlp machine-learning deep-learning deep-learning tutorials python pytorch jupyter-notebooks book-companion neural-networks sequence-modeling word-embeddings machine-translation natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="delip/PyTorchNLPBook")