PDEBench
lagrangebench
PDEBench | lagrangebench | |
---|---|---|
2 | 1 | |
631 | 53 | |
4.9% | - | |
6.3 | 9.4 | |
7 days ago | 5 days ago | |
Python | Jupyter Notebook | |
GNU General Public License v3.0 or later | MIT License |
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PDEBench
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[P] LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
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 and PDEArena, and we propose it as a Lagrangian alternative.
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[D] what are the SOTA neural PDE solvers besides FNO?
try https://github.com/pdebench/pdebench
lagrangebench
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[P] LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
Github: github.com/tumaer/lagrangebench arXiv: arxiv.org/abs/2309.16342
What are some alternatives?
squirrel-core - A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ivy - The Unified Machine Learning Framework [Moved to: https://github.com/unifyai/ivy]
pdearena
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
ivy - The Unified AI Framework