DD
lucidrains/deep-daze
Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
4.3k 311 +0/wk
GitHub
artificial-intelligence deep-learning implicit-neural-representation multi-modality siren text-to-image transformers
Trend
0
Star & Fork Trend (48 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lucidrains/deep-daze has +0 stars this period . 7-day velocity: -0.0%.
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| Metric | deep-daze | FLAML | onnxsim | awesome-RLHF |
|---|---|---|---|---|
| Stars | 4.3k | 4.3k | 4.3k | 4.3k |
| Forks | 311 | 556 | 422 | 252 |
| Weekly Growth | +0 | +2 | +2 | +0 |
| Language | Python | Jupyter Notebook | C++ | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | Apache-2.0 |
Capability Radar vs FLAML
deep-daze
FLAML
Maintenance Activity 0
Last code push 1487 days ago.
Community Engagement 36
Fork-to-star ratio: 7.2%. Lower fork ratio may indicate passive usage.
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.