apebench

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

benchmark

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73 Stars

1 Forks

73 Watchers

Python Language

mit License

Cost to Build

$153.7K

Market Value

$304.0K

How is this calculated?

Growth over time

1 data points · 2025-06-06 → 2025-06-06

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What is the tum-pbs/apebench GitHub project? Description: "[Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled Training; Rollout Metrics)". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone apebench

Clone via HTTPS

git clone https://github.com/tum-pbs/apebench.git

Clone via SSH

[email protected]:tum-pbs/apebench.git

Download ZIP

Download master.zip

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