GAP-LAB-CUHK-SZ/LoFA
Official implementation of "LoFA: Learning to Predict Personalized Prior for Fast Adaptation of Visual Generative Models".
38
Stars
1
Forks
19.5
Radar Score
Declining
Momentum
Scoring Breakdown
Impact10.8
Velocity19.1
Health33.8
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Why it ranks
Modest but positive momentum.
Top 97% globally
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
19.5
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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