# Rose-STL-Lab/dyffusion

<https://repo.masters-masters.com/en/repos/Rose-STL-Lab/dyffusion>

[Home](https://repo.masters-masters.com/en) › [Rose-STL-Lab](https://repo.masters-masters.com/en/owners/Rose-STL-Lab) › [dyffusion](https://repo.masters-masters.com/en/repos/Rose-STL-Lab/dyffusion)

Rose-STL-Lab/dyffusion has 235 stars on GitHub. Its RepoMasters card: Prototype tier. \[NeurIPS 2023\] A Dynamics-informed Diffusion Model for Spatiotemporal…

| Field | Value |
| --- | --- |
| Owner | [Rose-STL-Lab](https://repo.masters-masters.com/en/owners/Rose-STL-Lab) |
| Stars | 235 |
| Forks | 27 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2023 |
| Topics | diffusion, diffusion-models, ensemble-forecasts, machine-learning, neurips, neurips-2023, probabilistic-forecasting, spatiotemporal-forecasting, deep-learning, pytorch |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Rose-STL-Lab/dyffusion](https://github.com/Rose-STL-Lab/dyffusion) |

## Repository

\[NeurIPS 2023\] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## Nearby in Python

- [miyang-ai/Mi-Ripple · ★ 235 · Python · Prototype](https://repo.masters-masters.com/en/repos/miyang-ai/Mi-Ripple)
- [edison-land/paragravity · ★ 235 · Python · Prototype](https://repo.masters-masters.com/en/repos/edison-land/paragravity)
- [cxm947/FakeLiang · ★ 235 · Python · Prototype](https://repo.masters-masters.com/en/repos/cxm947/FakeLiang)
- [certik/theoretical-physics · ★ 235 · Python · Prototype](https://repo.masters-masters.com/en/repos/certik/theoretical-physics)
- [IlyaSkriblovsky/txredisapi · ★ 235 · Python · Prototype](https://repo.masters-masters.com/en/repos/IlyaSkriblovsky/txredisapi)
- [RecursiveForest/whatmp3 · ★ 235 · Python · Prototype](https://repo.masters-masters.com/en/repos/RecursiveForest/whatmp3)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.