RE
lucidrains/rotary-embedding-torch
Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch
804 66 +0/wk
GitHub
artificial-intelligence deep-learning positional-encoding
Trend
0
Star & Fork Trend (28 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lucidrains/rotary-embedding-torch has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | rotary-embedding-torch | LSTM-FCN | pytorch_fundamentals | IJCAI2023-CoNR |
|---|---|---|---|---|
| Stars | 804 | 804 | 804 | 805 |
| Forks | 66 | 265 | 113 | 65 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Jupyter Notebook | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | MIT | MIT |
Capability Radar vs LSTM-FCN
rotary-embedding-torch
LSTM-FCN
Maintenance Activity 64
Last code push 69 days ago.
Community Engagement 41
Fork-to-star ratio: 8.2%. 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 MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.