andrewt3000/DL4NLP resource
Deep Learning for NLP resources 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: 3974
- days_rel: n/a
- days_push: 2715
- n_releases_24m: 0
Adoption not part of the score
2180 stars · 454 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated list of deep learning resources for natural language processing, covering courses, papers, and notes on sequence modeling tasks like machine translation, image captioning, and dialog. It includes links to Stanford and Oxford NLP courses, seminal papers on word vectors, and RNN/LSTM materials.
Use cases
- learn deep learning for NLP from scratch
- find courses on neural networks for text
- understand word2vec and word embeddings
- study sequence modeling for machine translation
- find seminal NLP papers to read
- prepare for NLP research or interviews
When to choose
- you want a curated starting point for deep learning NLP topics
- you need links to courses, lecture videos, and foundational papers
- you are studying word vectors, RNNs, LSTMs, or sequence-to-sequence models
When to avoid
- you need runnable code or a software library
- you want up-to-date coverage of transformer-era LLMs (list last updated 2019)
- you need a structured textbook rather than a link collection
Facets
learning-resource · maturity maintenance
nlp machine-learning deep-learning machine-learning deep-learning tutorials awesome-list curated-resources word-embeddings sequence-modeling papers courses natural-language-processing
1 source
- readme: https://github.com/andrewt3000/DL4NLP · fetched 2026-08-28 · c1cfae42b6d6
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| andrewt3000/DL4NLP | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="andrewt3000/DL4NLP")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem