PO
stevenygd/PointFlow
PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
861 109 +1/wk
GitHub
3d-point-clouds computer-vision continuous-normalizing-flows machine-learning pytorch shapes
Trend
3
Star & Fork Trend (28 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
stevenygd/PointFlow has +1 stars this period . 7-day velocity: 0.2%.
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| Metric | PointFlow | swin-transformer-pytorch | Learn-Statistical-Learning-Method | mlens |
|---|---|---|---|---|
| Stars | 861 | 861 | 860 | 862 |
| Forks | 109 | 130 | 268 | 111 |
| Weekly Growth | +1 | +0 | -2 | +0 |
| Language | Python | Python | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | MIT |
Capability Radar vs swin-transformer-pytorch
PointFlow
swin-transformer-pytorch
Maintenance Activity 0
Last code push 610 days ago.
Community Engagement 63
Fork-to-star ratio: 12.7%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 47
+1 stars this period — 0.12% growth rate.
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.