SA
PAIR-code/saliency
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
995 196 +0/wk
GitHub
convolutional-neural-networks deep-learning deep-neural-networks ig-saliency image-recognition machine-learning object-detection saliency saliency-map smoothgrad tensorflow
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
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Growth Velocity
PAIR-code/saliency has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | saliency | thereisnospoon | pytorch-center-loss | just-pandas-things |
|---|---|---|---|---|
| Stars | 995 | 995 | 995 | 995 |
| Forks | 196 | 85 | 219 | 133 |
| Weekly Growth | +0 | +21 | +0 | +0 |
| Language | Jupyter Notebook | Python | Python | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | MIT | N/A |
Capability Radar vs thereisnospoon
saliency
thereisnospoon
Maintenance Activity 0
Last code push 749 days ago.
Community Engagement 98
Fork-to-star ratio: 19.7%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.