luo-yining/CFDBench
A large-scale benchmark for machine learning methods in fluid dynamics
This project provides a comprehensive collection of fluid dynamics simulations to help researchers and engineers evaluate how well machine learning models can predict fluid behavior. It includes various scenarios like fluid flowing through tubes or around objects, with different conditions and geometries. If you're developing or testing machine learning models for computational fluid dynamics (CFD), this benchmark helps you assess their generalizability across diverse real-world problems.
261 stars.
Use this if you are developing or evaluating machine learning models designed to predict fluid flow and need a standardized, large-scale dataset to rigorously test their performance and generalizability.
Not ideal if you are a practitioner looking for an off-the-shelf fluid dynamics simulator or a tool to run specific fluid flow analyses without involving machine learning model development.
Stars
261
Forks
33
Language
Python
License
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Category
Last pushed
Oct 25, 2025
Commits (30d)
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