PaddleCFD is a deep learning toolkit for surrogate modeling, equation discovery, shape optimization and flow-control strategy discovery in the field of fluid mechanics. Currently, it mainly supports surrogate modeling, including models based on fourier neural operator (FNO), diffusion model, transformer, physics-informed model and Kolmogorov-Arnold Networks (KAN).
config: config files for different tasksdoc: documentationexamples: example scriptsppcfd/data: data-process source codeppcfd/model: model source codeppcfd/utils: util code