Python · MIT
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
★ 25.6k
Stars
3.5k forks · 151 open issues
+6.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
38.5
Momentum / 100
see the breakdown below
6y ago
Created
last push 7d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 5.1 | +6.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 5.9 | last week ran 1.39× the monthly pace |
| Freshness | 15 | 14.6 | last push 7d ago; decays to zero at 180 days |
| Scale | 15 | 12.8 | 25.6k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 38.5 | sum of the above |
Detail
| Topics | artificial-intelligenceattention-mechanismcomputer-visionimage-classificationtransformers |
| Matched on | Computer Vision (computer-vision) |
| Short window | +6 stars over 7 days = 0.9/day |
| Long window | +16 stars over 26 days = 0.6/day |
| Lifetime average | 11.50 stars/day over 2,224 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |