SR
caoscott/SReC
PyTorch Implementation of "Lossless Image Compression through Super-Resolution"
1.1k 92 +0/wk
GitHub
compression lossless neural-network pytorch
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
caoscott/SReC has +0 stars this period . 7-day velocity: -0.1%.
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Signal-backed technical analysis will be available soon.
| Metric | SReC | deepmedic | PyGame-Learning-Environment | rapping-neural-network |
|---|---|---|---|---|
| Stars | 1.1k | 1.1k | 1.1k | 1.1k |
| Forks | 92 | 345 | 230 | 165 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | BSD-3-Clause | MIT | N/A |
Capability Radar vs deepmedic
SReC
deepmedic
Maintenance Activity 0
Last code push 918 days ago.
Community Engagement 44
Fork-to-star ratio: 8.7%. Lower fork ratio may indicate passive usage.
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.