AL
allegro/allRank
allRank is a framework for training learning-to-rank neural models based on PyTorch.
999 127 +0/wk
GitHub
click-model deep-learning information-retrieval learning-to-rank machine-learning ndcg python pytorch ranking transformer
Trend
3
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
allegro/allRank has +0 stars this period . 7-day velocity: 0.2%.
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Signal-backed technical analysis will be available soon.
| Metric | allRank | Awesome-Open-Vocabulary | rPPG-Toolbox | what-if-tool |
|---|---|---|---|---|
| Stars | 999 | 999 | 998 | 1k |
| Forks | 127 | 44 | 260 | 183 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | N/A | Python | HTML |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | N/A | NOASSERTION | Apache-2.0 |
Capability Radar vs Awesome-Open-Vocabulary
allRank
Awesome-Open-Vocabulary
Maintenance Activity 0
Last code push 610 days ago.
Community Engagement 64
Fork-to-star ratio: 12.7%. 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.