Dec. 11, 2023, 1:11 p.m. | /u/ggalletti99

Machine Learning www.reddit.com

Github: [github.com/tumaer/lagrangebench](https://github.com/tumaer/lagrangebench)
arXiv: [arxiv.org/abs/2309.16342](https://arxiv.org/abs/2309.16342)

by *Artur Toshev, Gianluca Galletti et al.*

## What is this?

*LagrangeBench* is a machine learning benchmarking library for **CFD particle problems** based on **JAX**. It is designed to evaluate and develop learned particle models (e.g. graph neural networks) on challenging physical problems. To our knowledge it's the first benchmark for this specific set of problems. Our work was inspired by the grid-based benchmarks of [PDEBench](https://github.com/pdebench/PDEBench) and [PDEArena](https://github.com/microsoft/pdearena), and we propose it as a Lagrangian alternative. …

core count datasets generated jax machinelearning neighbors search solver systems

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