# RolnickLab/constrained-downscaling

<https://repo.masters-masters.com/en/repos/RolnickLab/constrained-downscaling>

[Home](https://repo.masters-masters.com/en) › [RolnickLab](https://repo.masters-masters.com/en/owners/RolnickLab) › [constrained-downscaling](https://repo.masters-masters.com/en/repos/RolnickLab/constrained-downscaling)

RolnickLab/constrained-downscaling has 102 stars on GitHub. Its RepoMasters card: Prototype tier. A project on how to incorporate physics constraints into…

| Field | Value |
| --- | --- |
| Owner | [RolnickLab](https://repo.masters-masters.com/en/owners/RolnickLab) |
| Stars | 102 |
| Forks | 9 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | climate, downscaling, emulation, physics-constrained, super-resolution |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [RolnickLab/constrained-downscaling](https://github.com/RolnickLab/constrained-downscaling) |

## Repository

A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.

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

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