MM
lucidrains/mmdit
Implementation of a single layer of the MMDiT, proposed in Stable Diffusion 3, in Pytorch
515 15 +0/wk
GitHub
artificial-intelligence attention-mechanisms deep-learning multi-modal-attention
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lucidrains/mmdit has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | mmdit | dlwin | INSTA | artificial-intelligence |
|---|---|---|---|---|
| Stars | 515 | 515 | 515 | 515 |
| Forks | 15 | 100 | 46 | 398 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | C++ | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | NOASSERTION | Apache-2.0 |
Capability Radar vs dlwin
mmdit
dlwin
Maintenance Activity 57
Last code push 81 days ago.
Community Engagement 64
Fork-to-star ratio: 2.9%. 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.