# isds-neu/PhyCRNet

<https://repo.masters-masters.com/en/repos/isds-neu/PhyCRNet>

[Home](https://repo.masters-masters.com/en) › [isds-neu](https://repo.masters-masters.com/en/owners/isds-neu) › [PhyCRNet](https://repo.masters-masters.com/en/repos/isds-neu/PhyCRNet)

isds-neu/PhyCRNet has 169 stars on GitHub. Its RepoMasters card: Prototype tier. Physics-informed convolutional-recurrent neural networks for solving…

| Field | Value |
| --- | --- |
| Owner | [isds-neu](https://repo.masters-masters.com/en/owners/isds-neu) |
| Stars | 169 |
| Forks | 39 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [isds-neu/PhyCRNet](https://github.com/isds-neu/PhyCRNet) |

## Repository

Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

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.