oxford-cs-deepnlp-2017/lectures resource
Oxford Deep NLP 2017 course 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: 3495
- days_rel: n/a
- days_push: 1158
- n_releases_24m: 0
Adoption not part of the score
15853 stars · 3544 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Repository of lecture slides and course materials for the Oxford Deep NLP 2017 course, delivered with DeepMind. It covers neural network approaches to language modelling, machine translation, speech recognition, and question answering.
Use cases
- learn deep learning for NLP
- study neural language models
- find lecture slides on machine translation
- self-study recurrent neural networks for text
- prepare for a course on natural language processing
When to choose
- you want structured university-level course material on deep NLP
- you are learning RNNs, seq2seq, and language modelling from slides
When to avoid
- you need up-to-date content covering transformers and LLMs
- you need runnable software rather than lecture slides
Facets
learning-resource · maturity maintenance
nlp deep-learning machine-learning deep-learning education tutorials python lecture-slides course-materials oxford deepmind rnn natural-language-processing
1 source
- readme: https://github.com/oxford-cs-deepnlp-2017/lectures · fetched 2026-08-28 · 95e4d861f2b6
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| oxford-cs-deepnlp-2017/lectures | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="oxford-cs-deepnlp-2017/lectures")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem