# brianspiering/awesome-dl4nlp

A curated list of awesome Deep Learning (DL) for Natural Language Processing (NLP) resources

Repository: https://github.com/brianspiering/awesome-dl4nlp
Canonical: https://ross.abutalabs.com/products/awesome-dl4nlp
License Family: other
Last push: 2026-01-24T00:32:10+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 63, release rhythm 35, longevity 100
- inputs: {"age_days": 3742, "days_push": 222, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1309, forks 254 (observed 2026-08-28T04:04:19.425117+00:00)

## What it is
A curated awesome-list of Deep Learning for Natural Language Processing resources, including courses, books, tutorials, papers, frameworks, and datasets. It serves as a reference index rather than a runnable software artifact.

## Use cases
- find courses on deep learning for NLP
- discover NLP research papers and tutorials
- locate word embedding resources and datasets
- learn NLP with PyTorch implementations
- find books on neural network methods for NLP

## When to choose
- you want a curated starting point for learning deep learning NLP
- you need links to courses, books, and papers in one place

## When to avoid
- you need runnable software or a library
- you need up-to-date coverage of modern LLM tooling

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, deep-learning, machine-learning
- domain: deep-learning, machine-learning, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, curated-resources, word-embeddings, courses, papers, natural-language-processing

## Member repositories
- brianspiering/awesome-dl4nlp (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:19.425117+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:49:58.946330+00:00, confidence not recorded.
  - readme: https://github.com/brianspiering/awesome-dl4nlp (fetched 2026-08-28T04:04:19.425117+00:00, sha 13e3cd201b6d)
- Data as of 2026-08-30T08:39:29.467469+00:00.