IG
junyanz/iGAN
Interactive Image Generation via Generative Adversarial Networks
4.0k 589 +0/wk
GitHub
computer-graphics computer-vision dcgan deep-learning gan generative-adversarial-network image-manipulation pix2pix
Trend
0
Star & Fork Trend (36 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
junyanz/iGAN has +0 stars this period . 7-day velocity: -0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | iGAN | VLMEvalKit | deepchecks | photo2cartoon |
|---|---|---|---|---|
| Stars | 4.0k | 4.0k | 4.0k | 4.0k |
| Forks | 589 | 673 | 291 | 769 |
| Weekly Growth | +0 | +2 | -1 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | NOASSERTION | MIT |
Capability Radar vs VLMEvalKit
iGAN
VLMEvalKit
Maintenance Activity 0
Last code push 2073 days ago.
Community Engagement 73
Fork-to-star ratio: 14.7%. 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.