DI
konpatp/diffae
Official implementation of Diffusion Autoencoders
961 157 +0/wk
GitHub
autoencoder cvpr2022 deep-learning diffusion-models ffhq latent-variable-models lsun
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
konpatp/diffae has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | diffae | avod | Transformers-for-NLP-2nd-Edition | SASRec |
|---|---|---|---|---|
| Stars | 961 | 961 | 960 | 962 |
| Forks | 157 | 351 | 357 | 182 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Python | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | Apache-2.0 |
Capability Radar vs avod
diffae
avod
Maintenance Activity 0
Last code push 573 days ago.
Community Engagement 82
Fork-to-star ratio: 16.3%. 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.