LA
lucidrains/linear-attention-transformer
Transformer based on a variant of attention that is linear complexity in respect to sequence length
824 75 +0/wk
GitHub
artificial-intelligence attention-mechanism deep-learning pytorch transformer
Trend
0
Star & Fork Trend (31 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lucidrains/linear-attention-transformer has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | linear-attention-transformer | FedLab | kur | taichi-nerfs |
|---|---|---|---|---|
| Stars | 824 | 824 | 823 | 826 |
| Forks | 75 | 142 | 108 | 56 |
| Weekly Growth | +0 | +1 | +0 | +0 |
| Language | Python | Jupyter Notebook | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | Apache-2.0 | Apache-2.0 |
Capability Radar vs FedLab
linear-attention-transformer
FedLab
Maintenance Activity 0
Last code push 703 days ago.
Community Engagement 46
Fork-to-star ratio: 9.1%. 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.