AL
allegro/allRank
allRank is a framework for training learning-to-rank neural models based on PyTorch.
999 127 +2/wk
GitHub
click-model deep-learning information-retrieval learning-to-rank machine-learning ndcg python pytorch ranking transformer
Trend
3
Star & Fork Trend (16 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
allegro/allRank has +2 stars this period . 7-day velocity: 0.2%.
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| Metric | allRank | Awesome-Open-Vocabulary | Deep-Reinforcement-Learning-Algorithms | rPPG-Toolbox |
|---|---|---|---|---|
| Stars | 999 | 999 | 1k | 998 |
| Forks | 127 | 44 | 231 | 259 |
| Weekly Growth | +2 | +0 | +0 | +0 |
| Language | Python | N/A | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | N/A | N/A | NOASSERTION |
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 52
+2 stars this period — 0.20% growth rate.
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.