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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107 Stars

2 Forks

4 Watchers

Python Language

mit License

100 SrcLog Score

Cost to Build

$160.0K

Market Value

$395.8K

How is this calculated?

Growth over time

3 data points · 2025-06-01 → 2026-07-01

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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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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 main.zip

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