deeponet 开源项目推荐（58 个）

lululxvi /deepxde

科学机器学习和物理知识学习的图书馆

jdtoscano94 /NABLA-SciML

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

SciML /FluxNeuralOperators.jl

Julia 中的 DeepONets、（傅里叶）神经算子、物理信息神经算子等

katiana22 /latent-deeponet

Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."

katiana22 /TL-DeepONet

Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.

dtu-act /deeponet-acoustic-wave-prop

Code for training and inferring acoustic wave propagation in 3D

SciML /OperatorLearning.jl

No need to train, he's a smooth operator

HewlettPackard /separable-operator-networks

Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.

pankajkmishra /NodeLab

NodeLab is a simple MATLAB-repository for node-generation and adaptive refinement for testing, and implementing various meshfree methods (including physics-informed neural networks, PINNs and DeepOnet) for solving PDEs in arbitrary domains.

CEADpx /neural_operators

Implementations of three neural operators and application in Bayesian inference problems

Michael-Jackson666 /AI4CFD

Various methods for solving PDEs using artificial intelligence

HamidrezaEiv /KPCA-DeepONet

Nonlinear model reduction for operator learning

binbinao /physicsnemo-from-zero-to-one

NVIDIA PhysicsNeMo 中文教程书 · 8 章 + 4 附录 · PINN 与神经算子三种实现（裸 PyTorch / SDK / GPU production）

erkara /fem-pi-deeponet

End-to-end implementation of our work on coupling FEM with Physics Informed DeepOnet

katiana22 /surrogate-overparameterization

Source code of "On the influence of over-parameterization in manifold based surrogates and deep neural operators".

FouadAmin /I-FENN-DeepONet-Multiphysics

I-FENN framework integrating DeepONets (PyTorch) with FEM (deal.II) for accelerated, HPC-enabled, coupled multiphysics simulations (thermoelasticity & poroelasticity). Code for Amin et al., CMAME 2026.

AstroAI-Lab /CODES-Benchmark

Benchmarking Surrogates for coupled ODE systems.

DangHa /cut_deeponet

[NeurIPS'26] Handling Moving and Unknown Discontinuities/Sharp Transitions in Operator Learning

liminghao0914 /CE7454-final

We implement a Multifidelity-DeepONet that leverages both high-fidelity CFD simulations and real-time, low-fidelity sensor data. We also proved that Multifidelity-DeepONet has better performance compare to all the others baseline methods in our experiments.

Quantiphi-INC /XPIDON-Composites

This repository implements an Extended Physics-Informed DeepONet (XPIDON) model for simulating autoclave composite curing processes. It features a nonlinear decoder, subdomain-specific input normalization, and an adaptive and automated domain decomposition strategy.