MM
MMMU-Benchmark/MMMU
This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"
553 50 +1/wk
GitHub
computer-vision deep-learning deep-neural-networks evaluation foundation-models large-language-models large-multimodal-models llm llms machine-learning multimodal multimodal-deep-learning
Trend
3
Star & Fork Trend (33 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
MMMU-Benchmark/MMMU has +1 stars this period . 7-day velocity: 0.4%.
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| Metric | MMMU | actionformer_release | MonoDepth-PyTorch | faced |
|---|---|---|---|---|
| Stars | 553 | 553 | 553 | 552 |
| Forks | 50 | 90 | 129 | 146 |
| Weekly Growth | +1 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | N/A | MIT |
Capability Radar vs actionformer_release
MMMU
actionformer_release
Maintenance Activity 72
Last code push 55 days ago.
Community Engagement 45
Fork-to-star ratio: 9.0%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 51
+1 stars this period — 0.18% growth rate.
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.