GE
qinzheng93/GeoTransformer
[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration
941 113 +0/wk
GitHub
attention-mechanism computer-vision deep-learning neural-network point-cloud point-cloud-registration pytorch registration transformer
Trend
3
Star & Fork Trend (54 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
qinzheng93/GeoTransformer has +0 stars this period . 7-day velocity: 0.3%.
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Signal-backed technical analysis will be available soon.
| Metric | GeoTransformer | CUDATutorial | Jetson-Nano-Ubuntu-20-image | deep-speaker |
|---|---|---|---|---|
| Stars | 941 | 941 | 940 | 940 |
| Forks | 113 | 94 | 99 | 237 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | JavaScript | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | BSD-3-Clause | MIT |
Capability Radar vs CUDATutorial
GeoTransformer
CUDATutorial
Maintenance Activity 0
Last code push 869 days ago.
Community Engagement 60
Fork-to-star ratio: 12.0%. 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 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.