EL
AIoT-MLSys-Lab/Efficient-LLMs-Survey
[TMLR 2024] Efficient Large Language Models: A Survey
1.3k 98 +0/wk
GitHub
efficient-deep-learning generative-ai large-language-models machine-learning-systems survey
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Star & Fork Trend (38 data points)
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AIoT-MLSys-Lab/Efficient-LLMs-Survey has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Efficient-LLMs-Survey | LeanCopilot | awesome-ai-web-search | OpenContracts |
|---|---|---|---|---|
| Stars | 1.3k | 1.3k | 1.3k | 1.3k |
| Forks | 98 | 123 | 100 | 141 |
| Weekly Growth | +0 | +1 | +0 | +0 |
| Language | N/A | C++ | HTML | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | CC0-1.0 | AGPL-3.0 |
Capability Radar vs LeanCopilot
Efficient-LLMs-Survey
LeanCopilot
Maintenance Activity 0
Last code push 290 days ago.
Community Engagement 39
Fork-to-star ratio: 7.8%. 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.