tum-pbs / apebench

[Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled Training; Rollout Metrics)

Date Created 2024-05-21 (7 months ago)

Commits 137 (last one about a month ago)

Stargazers 52 (2 this week)

Watchers 5 (0 this week)

Forks 0

License mit

Ranking

RepositoryStats indexes 595,890 repositories, of these tum-pbs/apebench is ranked #457,063 (23rd percentile) for total stargazers, and #335,639 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #87,636/119,419.

tum-pbs/apebench is also tagged with popular topics, for these it's ranked: deep-learning (#6,938/8511), benchmark (#625/777)

Other Information

tum-pbs/apebench has 3 open pull requests on Github, 22 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 9 open issues and 5 closed issues.

There have been 3 releases, the latest one was published on 2024-11-09 (about a month ago) with the name v0.1.1.

Homepage URL: https://tum-pbs.github.io/apebench/

All Topics

pde benchmark deep-learning neural-emulation surrogate-models unrolled-training differentiable-physics autoregressive-neural-networks

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137 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-12-21 @ 01:49am, id: 803698745 / R_kgDOL-d4OQ