JEPA
PyTorch code and models for V-JEPA self-supervised learning from video. observed · 2026-10-14
Health v2 · maintenance only
26/100
- Activity 0
- Release rhythm 35
- Longevity 70
Flags: no_releases no_license
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: 981
- days_rel: n/a
- days_push: 600
- n_releases_24m: 0
Adoption not part of the score
4179 stars · 424 forks observed · 2026-10-14
Summary
No AI-extracted summary yet.
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| facebookresearch/jepa | main | 26 |
| facebookresearch/jepa-wms | plugin | 47 |
| facebookresearch/jepa-intuitive-physics | examples | 56 |
For agents
markdown · JSON · MCP: product_card(name="facebookresearch/jepa")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem