CO
richzhang/colorization
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
3.5k 929 +0/wk
GitHub
automatic-colorization caffe colorization computer-vision deep-learning deep-learning-algorithms
Trend
0
Star & Fork Trend (32 data points)
Stars
Forks
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Growth Velocity
richzhang/colorization has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | colorization | course22 | SDV | tensorwatch |
|---|---|---|---|---|
| Stars | 3.5k | 3.5k | 3.5k | 3.5k |
| Forks | 929 | 1.3k | 413 | 359 |
| Weekly Growth | +0 | +2 | +1 | +1 |
| Language | Python | Jupyter Notebook | Python | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | BSD-2-Clause | N/A | NOASSERTION | MIT |
Capability Radar vs course22
colorization
course22
Maintenance Activity 0
Last code push 864 days ago.
Community Engagement 100
Fork-to-star ratio: 26.8%. 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 BSD-2-Clause. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.