# TingFree/NLPer-Arsenal

收录NLP竞赛策略实现、各任务baseline、相关竞赛经验贴（当前赛事、往期赛事、训练赛）、NLP会议时间、常用自媒体、GPU推荐等，持续更新中

Repository: https://github.com/TingFree/NLPer-Arsenal
Canonical: https://ross.abutalabs.com/products/nlper-arsenal
Language: Python
License: MIT
License Family: permissive
Topics: nlp-competition, gpu, nlp-conference, nlp-media, pytorch, nlp, baselines
Last push: 2023-08-29T16:20:03+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2289, "days_push": 1100, "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 2237, forks 248 (observed 2026-08-28T04:06:29.465954+00:00)

## What it is
A curated Chinese-language resource collection for NLP practitioners, aggregating competition strategies, task baselines with annotated code, experience write-ups, conference deadlines, media recommendations, and GPU resource suggestions. It includes a decoupled 'tricks' code library for plugging competition techniques into custom models.

## Use cases
- find baselines for NLP competition tasks
- learn text classification and text generation with annotated code
- track NLP conference submission deadlines
- discover NLP competitions currently open for registration
- find reusable competition tricks to add to my model
- find GPU rental resources for training
- follow NLP blogs and media for frontier updates

## When to choose
- you are preparing for NLP competitions (DataFountain, CAIL, CHIP, Tianchi, etc.)
- you want annotated baseline implementations for classification or generation tasks
- you need a single hub for deadlines, platforms, and compute resources

## When to avoid
- you need a production NLP library or maintained model codebase
- you only work with English-language resources
- you need actively running competitions - the list may lag behind current events

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, machine-learning, developer-tools
- domain: machine-learning, tutorials, awesome-lists
- platform: python
- tags: nlp-competitions, baselines, competition-strategies, gpu-resources, conference-deadlines, chinese-nlp, curated-list, natural-language-processing, gpu

## Member repositories
- TingFree/NLPer-Arsenal (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:29.465954+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 2026-08-30T02:44:15.181616+00:00, confidence not recorded.
  - readme: https://github.com/TingFree/NLPer-Arsenal (fetched 2026-08-28T04:06:29.465954+00:00, sha bb5d4641c32d)
- Data as of 2026-08-30T08:39:29.467469+00:00.