neubig/nn4nlp-code resource
Code Samples from Neural Networks for NLP observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3293
- days_rel: n/a
- days_push: 2410
- n_releases_24m: 0
Adoption not part of the score
1311 stars · 478 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of Python code examples accompanying the CMU 11-747 'Neural Networks for NLP' course by Graham Neubig and collaborators. It demonstrates neural network techniques applied to NLP tasks for educational purposes.
Use cases
- learn neural networks for NLP with code examples
- study course materials for CMU neural networks for NLP
- find reference implementations of NLP deep learning models
- supplement self-study of neural NLP techniques
- explore example code for sequence models in NLP
When to choose
- you want worked code examples to accompany learning neural NLP concepts
- you are following the CMU 11-747 course or similar curriculum
- you prefer small educational samples over full production frameworks
When to avoid
- you need a production-ready NLP library or framework
- you expect maintained, up-to-date code with recent releases
- you need comprehensive documentation or support
Facets
learning-resource · maturity maintenance
machine-learning nlp deep-learning deep-learning tutorials python course-materials code-examples cmu educational natural-language-processing
1 source
- readme: https://github.com/neubig/nn4nlp-code · fetched 2026-08-28 · cff4b95b0808
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| neubig/nn4nlp-code | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="neubig/nn4nlp-code")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem