MP
lucidrains/musiclm-pytorch
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch
3.3k 267 +0/wk
GitHub
artificial-intelligence attention-mechanisms deep-learning music-synthesis transformers
Trend
0
Star & Fork Trend (34 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lucidrains/musiclm-pytorch has +0 stars this period . 7-day velocity: -0.1%.
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| Metric | musiclm-pytorch | audioFlux | AI-ML-Roadmap-from-scratch | Machine-Learning-with-Python |
|---|---|---|---|---|
| Stars | 3.3k | 3.3k | 3.3k | 3.3k |
| Forks | 267 | 149 | 646 | 1.8k |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | C | N/A | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | BSD-2-Clause |
Capability Radar vs audioFlux
musiclm-pytorch
audioFlux
Maintenance Activity 0
Last code push 945 days ago.
Community Engagement 41
Fork-to-star ratio: 8.1%. 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.