RayYoh/GaussianCross
[MM‘25] GaussianCross: Cross-modal Self-supervised 3D Representation Learning via Gaussian Splatting
21
Stars
0
Forks
22.2
Radar Score
Stable
Momentum
Scoring Breakdown
Impact5.0
Velocity20.3
Health52.3
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Popular Alternatives & Competitors
Top projects in the same category (Multimodal AI) — compare side by side.
🛡️ 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
B
Based on maintenance, issue response, and release cadence.
Radar Score
22.2
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.
Share & Embed
Display live Radar metrics in your documentation, website, or social profiles.