ST
mhamilton723/STEGO
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
787 159 +0/wk
GitHub
computer-vision deep-learning iclr2022 pytorch semantic-segmentation unsupervised-learning
Trend
0
Star & Fork Trend (34 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
mhamilton723/STEGO has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | STEGO | digit-classifier | qpth | long-range-arena |
|---|---|---|---|---|
| Stars | 787 | 787 | 786 | 788 |
| Forks | 159 | 84 | 112 | 86 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | Apache-2.0 |
Capability Radar vs digit-classifier
STEGO
digit-classifier
Maintenance Activity 0
Last code push 1111 days ago.
Community Engagement 100
Fork-to-star ratio: 20.2%. 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.