VH
sou350121/VLA-Handbook
本项目旨在为致力于进入VLA(Vision-Language-Action)领域的算法工程师提供一份全中文、实战导向的学习/面试手册。 不同于通用的 CV/NLP 面试指南，本项目聚焦于 Robotics 特有的挑战
119 6 +2/wk
GitHub
chinese deep-learning embodied-ai llm robot-learning robotics vision-language-action vla
Trend
3
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
sou350121/VLA-Handbook has +2 stars this period . 7-day velocity: 4.4%.
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Signal-backed technical analysis will be available soon.
| Metric | VLA-Handbook | Matryoshka | selene | paper-list |
|---|---|---|---|---|
| Stars | 119 | 119 | 119 | 118 |
| Forks | 6 | 15 | 13 | 10 |
| Weekly Growth | +2 | +0 | +1 | +0 |
| Language | HTML | TypeScript | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | Apache-2.0 | NOASSERTION | Apache-2.0 |
Capability Radar vs Matryoshka
VLA-Handbook
Matryoshka
Maintenance Activity 100
Last code push 0 days ago.
Community Engagement 25
Fork-to-star ratio: 5.0%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 100
+2 stars this period — 1.68% growth rate.
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.