LF
Trustworthy-ML-Lab/Label-free-CBM
[ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept data
135 31 +0/wk
GitHub
computer-vision deep-learning deep-neural-networks interpretability interpretable-deep-learning
Trend
0
Star & Fork Trend (21 data points)
Stars
Forks
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Growth Velocity
Trustworthy-ML-Lab/Label-free-CBM has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Label-free-CBM | Awesome-Video-Frame-Interpolation | Deep-Learning-Computer-Vision | play-game-with-computer-vision |
|---|---|---|---|---|
| Stars | 135 | 135 | 135 | 135 |
| Forks | 31 | 5 | 47 | 25 |
| Weekly Growth | +0 | +1 | +0 | +0 |
| Language | Jupyter Notebook | N/A | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | NOASSERTION | N/A | Apache-2.0 |
Capability Radar vs Awesome-Video-Frame-Interpolation
Label-free-CBM
Awesome-Video-Frame-Interpolation
Maintenance Activity 100
Last code push 2 days ago.
Community Engagement 100
Fork-to-star ratio: 23.0%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.