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NVlabs/FasterViT
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
911 69 +0/wk
GitHub
ade20k backbone coco deep-learning foundation-models image-classification image-net object-detection pre-trained-model self-attention semantic-segmentation vision-transformer
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Star & Fork Trend (21 data points)
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| Metric | FasterViT | kafka-streams-machine-learning-examples | awesome-CARLA | pytorch-deform-conv |
|---|---|---|---|---|
| Stars | 911 | 911 | 911 | 911 |
| Forks | 69 | 317 | 127 | 146 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Java | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | Apache-2.0 | CC0-1.0 | MIT |
Capability Radar vs kafka-streams-machine-learning-examples
FasterViT
kafka-streams-machine-learning-examples
Maintenance Activity 0
Last code push 260 days ago.
Community Engagement 38
Fork-to-star ratio: 7.6%. 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
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Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.