DLRM
An implementation of a deep learning recommendation model (DLRM) observed · 2026-10-14
Health v2 · maintenance only
57/100
- Activity 54
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2717
- days_rel: n/a
- days_push: 281
- n_releases_24m: 0
Adoption not part of the score
4074 stars · 858 forks observed · 2026-10-14
Summary
No AI-extracted summary yet.
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| facebookresearch/dlrm | main | 57 |
| facebookresearch/dlrm_datasets | infra | 10 |
For agents
markdown · JSON · MCP: product_card(name="facebookresearch/dlrm")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem