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operator-learning

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PaddlePaddle /PaddleScience

PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

machine-learning deep-learning supervised-learning paddlepaddle self-supervised-learning ai4science operator-learning

UpdatedMar 27, 2025
Python

katiana22 /TL-DeepONet

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

regression partial-differential-equations transfer-learning hilbert-spaces multi-task-learning physics-informed-learning operator-learning deeponet

UpdatedAug 4, 2023
Python

amazon-science /boon

Datasets and code for results presented in the BOON paper

partial-differential-equations boundary-conditions operator-learning neural-operator constrained-operator

UpdatedMar 2, 2023
Jupyter Notebook

dtu-act /deeponet-acoustic-wave-prop

Code for training and inferring acoustic wave propagation in 3D

transfer-learning domain-decomposition virtual-acoustics operator-learning deeponet

UpdatedDec 9, 2024
Python

HewlettPackard /separable-operator-networks

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

partial-differential-equations scientific-machine-learning physics-informed-neural-networks operator-learning deeponet physics-informed-machine-learning deep-operator-learning

UpdatedNov 2, 2024
Python

nickhnelsen /fourier-neural-mappings

An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.

partial-differential-equations functional-regression infinite-dimensions surrogate-model operator-learning neural-operator fourier-neural-operator

UpdatedJun 6, 2024
Python

junfeng-chen /position_induced_transformer

PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations

transformer attention-mechanism surrogate-models scientific-machine-learning ai4science operator-learning

UpdatedOct 28, 2024
Python

nickhnelsen /random-features-banach

Code for the paper "The Random Feature Model for Input-Output Maps between Banach Spaces" (SIREV SIGEST 2024, SISC 2021)

partial-differential-equations functional-regression infinite-dimensions random-features operator-learning neural-operator fourier-neural-operator

UpdatedAug 8, 2024
Python

Axect /Neural_Hamilton

Official implementation of the paper "Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?"

machine-learning deep-learning hamiltonian-dynamics classical-mechanics operator-learning neural-operator

UpdatedFeb 5, 2025
Python

Oisin-M /GFN

Graph Feedforward Networks: a resolution-invariant generalisation of feedforward networks for graphical data, applied to model order reduction

machine-learning deep-learning pytorch scientific-computing neural-networks partial-differential-equations model-order-reduction graph-neural-networks parametric-pdes operator-learning ml4physics ml4science

UpdatedNov 22, 2024
Jupyter Notebook

HamidrezaEiv /KPCA-DeepONet

Nonlinear model reduction for operator learning

partial-differential-equations kernel-methods pde model-reduction operator-learning deeponet

UpdatedSep 12, 2024
Python

robin-janssen /CODES-Benchmark

Benchmarking Surrogates for coupled ODE systems.

ode chemical-reaction-networks fully-connected-network surrogate-models neuralode operator-learning deeponet

UpdatedMar 19, 2025
Python

Axect /HyperbolicLR

Hyperbolic Learning Rate Scheduler

deep-learning image-classification time-series-forecasting operator-learning learning-rate-scheduler

UpdatedFeb 9, 2025
Python

nickhnelsen /error-bounds-for-vvRF

Code for the paper ``Error Bounds for Learning with Vector-Valued Random Features'' (NeurIPS 2023, Spotlight)

partial-differential-equations functional-regression infinite-dimensions random-features operator-learning neural-operator fourier-neural-operator

UpdatedAug 8, 2024
Python

sob-ANN /Projects

Project Portfolio

data-science machine-learning deep-learning image-processing parameter-estimation mcmc variational-inference kalman-filter state-space-model physics-informed-neural-networks operator-learning

UpdatedAug 6, 2024
Jupyter Notebook

skoohy /FNO

Code for ENM5310 Final Project

python machine-learning deep-learning neural-networks numerical-methods jax autoregressive-models operator-learning fourier-neural-operator

UpdatedDec 20, 2024
Jupyter Notebook

tomcjackc /Probabilistic-Operator-Learning-for-Climate-Model-Parameterisation

Code required to reproduce results presented in "Probabilistic Operator Learning for Climate Model Parameterisation"

parameterisation operator-learning

UpdatedJun 29, 2024
Jupyter Notebook

youwuyou /AISE

Final projects for 401-4656-21L AI in Sciences and Engineering @ ETHz. Includes implementation of Fourier Neural Operator (FNO) with time dependency, data-driven symbolic regression with PDE-Find and foundation model based on FNO for phase-field dynamics

symbolic-regression transfer-learning sindy pde-solver data-driven-model sciml operator-learning neural-operators pde-find

UpdatedJan 20, 2025
Python

AdamJamesSheppard /fokker-planck-based-data-assimilation

Fokker Planck based Data Assimilation method using Fourier Neural Operators as integrator

mathematics data-assimilation fenics data-fusion fpe fokker-planck operator-learning fourier-neural-operator

UpdatedNov 15, 2024
Jupyter Notebook

nngabe /roma

ROMA: Renormalized Operators with Multiscale Attention

hyperbolic-geometry graph-learning operator-learning deeponet

UpdatedFeb 27, 2025
Jupyter Notebook

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