MA
Yangyi-Chen/Multimodal-AND-Large-Language-Models
Paper list about multimodal and large language models, only used to record papers I read in the daily arxiv for personal needs.
755 42 +0/wk
GitHub
general-purpose-model large-language-models machine-learning multimodal
Trend
0
Star & Fork Trend (39 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
Yangyi-Chen/Multimodal-AND-Large-Language-Models has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Multimodal-AND-Large-Language-Models | Real-time-ML-Project | oatmeal | stringsifter |
|---|---|---|---|---|
| Stars | 755 | 755 | 755 | 754 |
| Forks | 42 | 275 | 42 | 128 |
| Weekly Growth | +0 | +1 | +0 | +0 |
| Language | N/A | N/A | Rust | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | N/A | MIT | Apache-2.0 |
Capability Radar vs Real-time-ML-Project
Multimodal-AND-Large-Language-Models
Real-time-ML-Project
Maintenance Activity 100
Last code push 2 days ago.
Community Engagement 28
Fork-to-star ratio: 5.6%. 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.