DmitryRyumin/ICCV-2023-25-Papers
ICCV 2023-2025 Papers: Discover cutting-edge research from ICCV 2023-25, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!
Star & Fork Trend (35 data points)
Multi-Source Signals
Growth Velocity
DmitryRyumin/ICCV-2023-25-Papers has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | ICCV-2023-25-Papers | EmoPy | bert_language_understanding | Otto |
|---|---|---|---|---|
| Stars | 967 | 967 | 967 | 967 |
| Forks | 49 | 265 | 211 | 77 |
| Weekly Growth | +0 | -1 | +0 | -1 |
| Language | Python | Python | Python | JavaScript |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | AGPL-3.0 | N/A | MIT |
Capability Radar vs EmoPy
Last code push 152 days ago.
Fork-to-star ratio: 5.1%. 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.