# huawei-noah/noah-research

Noah Research

Repository: https://github.com/huawei-noah/noah-research
Canonical: https://ross.abutalabs.com/products/noah-research
Language: Python
License Family: other
Last push: 2026-08-18T12:08:30+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 35, longevity 100
- inputs: {"age_days": 2269, "days_push": 15, "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 1004, forks 216 (observed 2026-09-03T02:15:12.762787+00:00)

## What it is
A collection of research code subprojects released by Huawei Noah's Ark Lab, each in its own directory. It is not an official Huawei product and comes with no license or support commitment.

## Use cases
- find reference implementations of Noah's Ark Lab research papers
- experiment with experimental ML model code from Huawei research
- reproduce results from published research projects
- explore research code across NLP and vision subprojects

## When to choose
- you want to reproduce or build on Huawei Noah's Ark Lab research
- you need reference code for a specific paper implemented in one of the subprojects

## When to avoid
- you need a stable, licensed, production-ready library
- you require official vendor support or clear licensing terms

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, nlp, computer-vision
- domain: machine-learning, deep-learning, artificial-intelligence, computer-vision
- platform: python
- tags: research-code, huawei, collection-of-subprojects, academic, natural-language-processing

## Member repositories
- huawei-noah/noah-research (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:12.762787+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 2026-08-30T07:13:51.955407+00:00, confidence not recorded.
  - readme: https://github.com/huawei-noah/noah-research (fetched 2026-09-03T02:15:12.762787+00:00, sha 447a3bfb8f79)
- Data as of 2026-08-30T08:39:29.467469+00:00.