LT
zhenye234/LLaSA_training
LLaSA: Scaling Train-time and Inference-time Compute for LLaMA-based Speech Synthesis
659 53 +0/wk
GitHub
llama llm text-to-speech xcodec2
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
zhenye234/LLaSA_training has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | LLaSA_training | genv | xyne | tenere |
|---|---|---|---|---|
| Stars | 659 | 659 | 659 | 658 |
| Forks | 53 | 43 | 61 | 34 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | TypeScript | Rust |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | AGPL-3.0 | Apache-2.0 | GPL-3.0 |
Capability Radar vs genv
LLaSA_training
genv
Maintenance Activity 59
Last code push 78 days ago.
Community Engagement 40
Fork-to-star ratio: 8.0%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.