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lucidrains/BS-RoFormer
Implementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs
758 33 +0/wk
GitHub
artificial-intelligence attention-mechanisms deep-learning music-source-separation transformers
Trend
3
Star & Fork Trend (28 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lucidrains/BS-RoFormer has +0 stars this period . 7-day velocity: 0.7%.
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Signal-backed technical analysis will be available soon.
| Metric | BS-RoFormer | lemniscate.pytorch | simple_tensorflow_serving | InSPyReNet |
|---|---|---|---|---|
| Stars | 758 | 758 | 758 | 757 |
| Forks | 33 | 132 | 185 | 85 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | JavaScript | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | Apache-2.0 | MIT |
Capability Radar vs lemniscate.pytorch
BS-RoFormer
lemniscate.pytorch
Maintenance Activity 66
Last code push 67 days ago.
Community Engagement 68
Fork-to-star ratio: 4.4%. 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.