GR
model-architectures/GRAPE
[ICLR 2026] GRAPE: Group Representational Position Encoding (https://arxiv.org/abs/2512.07805)
82 4 +0/wk
GitHub
deep-learning foundation-models large-language-models llms model-architectures position-encoding pretraining
Trend
0
Star & Fork Trend (10 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
model-architectures/GRAPE has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | GRAPE | benchmark-qed | CatPred | grobid-quantities |
|---|---|---|---|---|
| Stars | 82 | 82 | 81 | 83 |
| Forks | 4 | 13 | 25 | 24 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | JavaScript |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | MIT | Apache-2.0 |
Capability Radar vs benchmark-qed
GRAPE
benchmark-qed
Maintenance Activity 100
Last code push 7 days ago.
Community Engagement 70
Fork-to-star ratio: 4.9%. Lower fork ratio may indicate passive usage.
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.