all AI news
[P] LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
Dec. 11, 2023, 1:11 p.m. | /u/ggalletti99
Machine Learning www.reddit.com
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
More from www.reddit.com / Machine Learning
[D] Recognizing uncommon terms with whisper
1 day, 1 hour ago |
www.reddit.com
[D] Is EOS token crucial during pre-training?
1 day, 1 hour ago |
www.reddit.com
Jobs in AI, ML, Big Data
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote