QU
understandable-machine-intelligence-lab/Quantus
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
656 89 +0/wk
GitHub
deep-learning explainable-ai interpretability machine-learning pytorch quantification-evaluation-methods reproducibility tensorflow xai
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Star & Fork Trend (21 data points)
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understandable-machine-intelligence-lab/Quantus has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Quantus | tensor_parallel | SkillNet | BMW-YOLOv4-Training-Automation |
|---|---|---|---|---|
| Stars | 656 | 656 | 656 | 655 |
| Forks | 89 | 44 | 64 | 125 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | MIT | MIT | BSD-3-Clause |
Capability Radar vs tensor_parallel
Quantus
tensor_parallel
Maintenance Activity 86
Last code push 30 days ago.
Community Engagement 68
Fork-to-star ratio: 13.6%. 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.