jiny2001/dcscn-super-resolution
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
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jiny2001/dcscn-super-resolution has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | dcscn-super-resolution | ultimateALPR-SDK | UCR_Time_Series_Classification_Deep_Learning_Baseline | emlearn |
|---|---|---|---|---|
| Stars | 714 | 714 | 714 | 713 |
| Forks | 219 | 175 | 207 | 73 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | C++ | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | NOASSERTION | N/A | MIT |
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Last code push 1098 days ago.
Fork-to-star ratio: 30.7%. Active community forking and contributing.
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.
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