SA
tianrun-chen/SAM-Adapter-PyTorch
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
1.5k 122 +0/wk
GitHub
2d-segmentation adapter camouflage-images camouflaged-object-detection camouflaged-target-detection fine-tune fine-tuning image-segmentation image-segmentation-pytorch segment-anything segment-anything-model
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Star & Fork Trend (18 data points)
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Growth Velocity
tianrun-chen/SAM-Adapter-PyTorch has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | SAM-Adapter-PyTorch | finetuner | Curator | awesome-graph-self-supervised-learning |
|---|---|---|---|---|
| Stars | 1.5k | 1.5k | 1.5k | 1.4k |
| Forks | 122 | 68 | 252 | 164 |
| Weekly Growth | +0 | +0 | +2 | +0 |
| Language | Python | Python | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | Apache-2.0 | N/A |
Capability Radar vs finetuner
SAM-Adapter-PyTorch
finetuner
Maintenance Activity 30
Last code push 128 days ago.
Community Engagement 41
Fork-to-star ratio: 8.1%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.