MA
JonasSchult/Mask3D
Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
717 127 +0/wk
GitHub
3d-computer-vision computer-vision deep-learning deep-neural-networks pytorch
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
JonasSchult/Mask3D has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | Mask3D | tinyply | ddpm-segmentation | MachineLearning-QandAI-book |
|---|---|---|---|---|
| Stars | 717 | 717 | 717 | 717 |
| Forks | 127 | 129 | 65 | 153 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | C++ | Python | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | MIT | BSD-3-Clause |
Capability Radar vs tinyply
Mask3D
tinyply
Maintenance Activity 0
Last code push 892 days ago.
Community Engagement 89
Fork-to-star ratio: 17.7%. 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.