PR
NVlabs/prismer
The implementation of "Prismer: A Vision-Language Model with Multi-Task Experts".
1.3k 73 +0/wk
GitHub
image-captioning language-model multi-modal-learning multi-task-learning vision-and-language vision-language-model vqa
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Star & Fork Trend (24 data points)
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NVlabs/prismer has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | prismer | awesome-text-summarization | MemoryOS | awesome_LLMs_interview_notes |
|---|---|---|---|---|
| Stars | 1.3k | 1.3k | 1.3k | 1.3k |
| Forks | 73 | 205 | 129 | 327 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | N/A | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | MIT | Apache-2.0 | MIT |
Capability Radar vs awesome-text-summarization
prismer
awesome-text-summarization
Maintenance Activity 0
Last code push 812 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.