DY
Rose-STL-Lab/dyffusion
[NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
233 26 +0/wk
GitHub
deep-learning diffusion diffusion-models ensemble-forecasts machine-learning neurips neurips-2023 probabilistic-forecasting pytorch pytorch-lightning spatiotemporal-forecasting
Trend
0
Star & Fork Trend (18 data points)
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Forks
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Rose-STL-Lab/dyffusion has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | dyffusion | DiffDock-PP | bert-classification-tutorial | rag-ecosystem |
|---|---|---|---|---|
| Stars | 233 | 233 | 234 | 232 |
| Forks | 26 | 43 | 22 | 71 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | N/A | MIT | MIT |
Capability Radar vs DiffDock-PP
dyffusion
DiffDock-PP
Maintenance Activity 10
Last code push 163 days ago.
Community Engagement 56
Fork-to-star ratio: 11.2%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.