SP
mit-han-lab/spvnas
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
620 113 +0/wk
GitHub
3d-deep-learning architecture-search computer-vision deep-learning efficiency lidar point-cloud pytorch semantickitti
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
mit-han-lab/spvnas has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | spvnas | reservoirpy | mlops-v2 | EBT |
|---|---|---|---|---|
| Stars | 620 | 620 | 620 | 619 |
| Forks | 113 | 141 | 331 | 87 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Shell | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | Apache-2.0 |
Capability Radar vs reservoirpy
spvnas
reservoirpy
Maintenance Activity 0
Last code push 636 days ago.
Community Engagement 91
Fork-to-star ratio: 18.2%. 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.