CV
bradyz/cross_view_transformers
Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)
573 83 +0/wk
GitHub
cvpr2022 deep-learning pytorch transformer
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| Metric | cross_view_transformers | Multilabel-timeseries-classification-with-LSTM | papers | Transformers.jl |
|---|---|---|---|---|
| Stars | 573 | 573 | 572 | 572 |
| Forks | 83 | 183 | 120 | 81 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | N/A | Julia |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | N/A | MIT |
Capability Radar vs Multilabel-timeseries-classification-with-LSTM
cross_view_transformers
Multilabel-timeseries-classification-with-LSTM
Maintenance Activity 0
Last code push 885 days ago.
Community Engagement 72
Fork-to-star ratio: 14.5%. Active community forking and contributing.
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 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.