AP
zhengli97/Awesome-Prompt-Adapter-Learning-for-VLMs-CLIP
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
768 40 +1/wk
GitHub
adapter-learning few-shot-classifcation few-shot-learning paper-list prompt-learning vision-language-model zero-shot-learning
Trend
3
Star & Fork Trend (12 data points)
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Forks
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Growth Velocity
zhengli97/Awesome-Prompt-Adapter-Learning-for-VLMs-CLIP has +1 stars this period . 7-day velocity: 0.3%.
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| Metric | Awesome-Prompt-Adapter-Learning-for-VLMs-CLIP | avoid-ai-writing | miyagi | prompt-layer-library |
|---|---|---|---|---|
| Stars | 768 | 770 | 751 | 749 |
| Forks | 40 | 79 | 255 | 76 |
| Weekly Growth | +1 | +60 | -1 | +0 |
| Language | N/A | N/A | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | NOASSERTION | Apache-2.0 |
Capability Radar vs avoid-ai-writing
Awesome-Prompt-Adapter-Learning-for-VLMs-CLIP
avoid-ai-writing
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 26
Fork-to-star ratio: 5.2%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 48
+1 stars this period — 0.13% growth rate.
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.