SU
magicleap/SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
4.0k 761 +0/wk
GitHub
deep-learning feature-matching graph-neural-networks pose-estimation
Trend
3
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
magicleap/SuperGluePretrainedNetwork has +0 stars this period . 7-day velocity: 0.1%.
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| Metric | SuperGluePretrainedNetwork | Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials | Surface-Defect-Detection | oneDNN |
|---|---|---|---|---|
| Stars | 4.0k | 4.0k | 4.0k | 4.0k |
| Forks | 761 | 1.6k | 598 | 1.1k |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | NOASSERTION | MIT | Apache-2.0 |
Capability Radar vs Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
SuperGluePretrainedNetwork
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
Maintenance Activity 0
Last code push 586 days ago.
Community Engagement 96
Fork-to-star ratio: 19.1%. Active community forking and contributing.
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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.