AP
jianghaojun/Awesome-Parameter-Efficient-Transfer-Learning
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
410 26 +0/wk
GitHub
computer-vision deep-learning machine-learning multimodal-deep-learning parameter-efficient-learning parameter-efficient-tuning transfer-learning
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Star & Fork Trend (17 data points)
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jianghaojun/Awesome-Parameter-Efficient-Transfer-Learning has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Awesome-Parameter-Efficient-Transfer-Learning | Text-to-Image-Synthesis | p2rank | Video-RAG-master |
|---|---|---|---|---|
| Stars | 410 | 410 | 410 | 409 |
| Forks | 26 | 91 | 54 | 40 |
| Weekly Growth | +0 | +0 | +1 | +1 |
| Language | N/A | Python | Groovy | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | GPL-3.0 | MIT | N/A |
Capability Radar vs Text-to-Image-Synthesis
Awesome-Parameter-Efficient-Transfer-Learning
Text-to-Image-Synthesis
Maintenance Activity 0
Last code push 560 days ago.
Community Engagement 32
Fork-to-star ratio: 6.3%. 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.