KA
cszn/KAIR
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
3.5k 689 +0/wk
GitHub
bsrgan deep-learning denoising dncnn dpsr esrgan ffdnet flops image-restoration pytorch sisr srmd
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
cszn/KAIR has +0 stars this period . 7-day velocity: -0.0%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | KAIR | adanet | awesome-industrial-anomaly-detection | picoGPT |
|---|---|---|---|---|
| Stars | 3.5k | 3.5k | 3.5k | 3.5k |
| Forks | 689 | 525 | 308 | 456 |
| Weekly Growth | +0 | +0 | +6 | +0 |
| Language | Python | Jupyter Notebook | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | N/A | MIT |
Capability Radar vs adanet
KAIR
adanet
Maintenance Activity 0
Last code push 553 days ago.
Community Engagement 100
Fork-to-star ratio: 20.0%. 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.