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 (10 months ago)

Commits 137 (last one 4 months ago)

Stargazers 65 (1 this week)

Watchers 4 (0 this week)

Forks 1

License mit

Ranking

RepositoryStats indexes 632,894 repositories, of these tum-pbs/apebench is ranked #411,593 (35th percentile) for total stargazers, and #365,706 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #79,660/129,085.

tum-pbs/apebench is also tagged with popular topics, for these it's ranked: deep-learning (#6,424/8811), benchmark (#582/823)

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 11 open issues and 5 closed issues.

There have been 3 releases, the latest one was published on 2024-11-09 (4 months 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: 2025-03-27 @ 12:33am, id: 803698745 / R_kgDOL-d4OQ