ST
tegg89/SRCNN-Tensorflow
Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
617 274 +0/wk
GitHub
computer-vision python super-resolution tensorflow
Trend
0
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
tegg89/SRCNN-Tensorflow 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 | SRCNN-Tensorflow | efficientdet | class-balanced-loss | fbow |
|---|---|---|---|---|
| Stars | 617 | 617 | 616 | 619 |
| Forks | 274 | 152 | 69 | 146 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | N/A |
Capability Radar vs efficientdet
SRCNN-Tensorflow
efficientdet
Maintenance Activity 0
Last code push 1002 days ago.
Community Engagement 20
Fork-to-star ratio: 44.4%. 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.