# ivan-bilan/The-NLP-Pandect

A comprehensive reference for all topics related to Natural Language Processing

Repository: https://github.com/ivan-bilan/The-NLP-Pandect
Canonical: https://ross.abutalabs.com/products/the-nlp-pandect
Language: Python
License: CC0-1.0
License Family: permissive
Topics: nlp, naturallanguageprocessing, awesome-list, deeplearning, natural-language-processing, pandect
Last push: 2026-06-01T21:12:51+00:00

## Health v2 (maintenance only)
Score: 70/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 85, release rhythm 35, longevity 100
- inputs: {"age_days": 2285, "days_push": 93, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2038, forks 282 (observed 2026-08-28T04:06:08.252780+00:00)

## What it is
A comprehensive curated encyclopedia (awesome list) of Natural Language Processing resources, covering papers, datasets, benchmarks, podcasts, newsletters, and tools. It serves as a reference guide for finding NLP-related materials online.

## Use cases
- find nlp learning resources
- discover nlp datasets and benchmarks
- keep up with nlp research papers
- find nlp podcasts and newsletters
- learn about transformer architectures
- find speech recognition resources

## When to choose
- you need a broad curated index of NLP materials
- you are exploring NLP topics and want starting points
- you want links to papers, datasets, and community resources in one place

## When to avoid
- you need runnable software or a library
- you want a structured course with exercises
- you need up-to-the-minute coverage of very recent work

## Facets
- artifact type: learning-resource
- maturity: active
- function: nlp, documentation
- domain: deep-learning, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, curated-resources, reference, encyclopedia, papers, podcasts, benchmarks, natural-language-processing

## Member repositories
- ivan-bilan/The-NLP-Pandect (main) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:08.252780+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 2026-08-30T02:59:14.954129+00:00, confidence not recorded.
  - readme: https://github.com/ivan-bilan/The-NLP-Pandect (fetched 2026-08-28T04:06:08.252780+00:00, sha 3d30eacc475c)
- Data as of 2026-08-30T08:39:29.467469+00:00.