AP
lucidrains/audiolm-pytorch
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
2.6k 280 +0/wk
GitHub
artificial-intelligence attention-mechanisms audio-synthesis deep-learning transformers
Trend
3
Star & Fork Trend (43 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lucidrains/audiolm-pytorch has +0 stars this period . 7-day velocity: 0.1%.
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Signal-backed technical analysis will be available soon.
| Metric | audiolm-pytorch | manga-ocr | cv_note | Time-LLM |
|---|---|---|---|---|
| Stars | 2.6k | 2.6k | 2.6k | 2.6k |
| Forks | 280 | 129 | 391 | 463 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | Apache-2.0 | Apache-2.0 |
Capability Radar vs manga-ocr
audiolm-pytorch
manga-ocr
Maintenance Activity 0
Last code push 451 days ago.
Community Engagement 53
Fork-to-star ratio: 10.7%. Active community forking and contributing.
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.