# facebookresearch/moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

Repository: https://github.com/facebookresearch/moco
Canonical: https://ross.abutalabs.com/products/moco
License Family: other
Last push: 2026-02-03T19:40:18+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 65, release rhythm 35, longevity 100
- inputs: {"age_days": 2360, "days_push": 211, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license, no_readme
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5136, forks 802 (observed 2026-08-28T04:09:11.095177+00:00)

## Summary
No AI-extracted summary yet.

## Member repositories
- facebookresearch/moco (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:11.095177+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Data as of 2026-08-30T08:39:29.467469+00:00.