DmitryRyumin/CVPR-2023-24-Papers
CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ⭐ support visual intelligence development!
Star & Fork Trend (19 data points)
Multi-Source Signals
Growth Velocity
DmitryRyumin/CVPR-2023-24-Papers has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | CVPR-2023-24-Papers | pytorch-rl | cucim | RLs |
|---|---|---|---|---|
| Stars | 452 | 452 | 452 | 452 |
| Forks | 29 | 55 | 78 | 93 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | Apache-2.0 | Apache-2.0 |
Capability Radar vs pytorch-rl
Last code push 633 days ago.
Fork-to-star ratio: 6.4%. Lower fork ratio may indicate passive usage.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.