# camlab-ethz/GAOT

<https://repo.masters-masters.com/en/repos/camlab-ethz/GAOT>

[Home](https://repo.masters-masters.com/en) › [camlab-ethz](https://repo.masters-masters.com/en/owners/camlab-ethz) › [GAOT](https://repo.masters-masters.com/en/repos/camlab-ethz/GAOT)

camlab-ethz/GAOT has 109 stars on GitHub. Its RepoMasters card: Prototype tier. \[NeurIPS 2025\] Geometry Aware Operator Transformer As An Efficient And…

| Field | Value |
| --- | --- |
| Owner | [camlab-ethz](https://repo.masters-masters.com/en/owners/camlab-ethz) |
| Stars | 109 |
| Forks | 26 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2025 |
| Topics | efficiency, gno, pdes, scalability, scientific-computing, transformer, operators, unstructured-data |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [camlab-ethz/GAOT](https://github.com/camlab-ethz/GAOT) |

## Repository

\[NeurIPS 2025\] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains

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.
