Python · MIT
tianrun-chen/SAM-Adapter-PyTorch
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
★ 1.6k
Stars
125 forks · 66 open issues
+1.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
23.9
Momentum / 100
see the breakdown below
3y ago
Created
last push 5mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 1.1 | +1.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 12.9 | last week ran 1.86× the monthly pace |
| Freshness | 15 | 0.6 | last push 5mo ago; decays to zero at 180 days |
| Scale | 15 | 9.3 | 1.6k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 23.9 | sum of the above |
Detail
| Topics | 2d-segmentationadaptercamouflage-imagescamouflaged-object-detectioncamouflaged-target-detectionfine-tunefine-tuningimage-segmentationimage-segmentation-pytorchsegment-anythingsegment-anything-model |
| Matched on | LLM & Inference (fine-tuning) Computer Vision (image-segmentation) |
| Short window | +1 stars over 7 days = 0.1/day |
| Long window | +2 stars over 26 days = 0.1/day |
| Lifetime average | 1.20 stars/day over 1,301 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |