FoundationVision/VAR
[NeurIPS 2024 Best Paper Award][GPT beats diffusionš„] [scaling laws in visual generationš] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
Star & Fork Trend (33 data points)
Multi-Source Signals
Growth Velocity
FoundationVision/VAR has -2 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 | VAR | X-AnyLabeling | librealsense | introtodeeplearning |
|---|---|---|---|---|
| Stars | 8.7k | 8.7k | 8.7k | 8.6k |
| Forks | 565 | 931 | 5.0k | 4.5k |
| Weekly Growth | -2 | +10 | +4 | +4 |
| Language | Jupyter Notebook | Python | C++ | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | GPL-3.0 | Apache-2.0 | MIT |
Capability Radar vs X-AnyLabeling
Last code push 149 days ago.
Fork-to-star ratio: 6.5%. Lower fork ratio may indicate passive usage.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under MIT. Permissive ā safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.