cpfpengfei/PCFM
Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints (NeurIPS 2025)
30
Stars
0
Forks
21.5
Radar Score
Stable
Momentum
Scoring Breakdown
Impact7.7
Velocity23.3
Health41.2
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Why it ranks
Modest but positive momentum.
Top 95% globally
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
NOASSERTION
Review license terms carefully before commercial adoption.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
21.5
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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