apebench

apebench

tum-pbs

[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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111 Stars
2 Forks
4 Watchers
Python Language
mit License
100 SrcLog Score
Cost to Build
$165.0K
Market Value
$373.5K
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Growth over time

7 data points  ·  2025-06-01 → 2026-11-01
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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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git clone https://github.com/tum-pbs/apebench.git

Clone via SSH

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Download ZIP

Download main.zip

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