operator-learning
There are 20 repositories under operator-learning topic.
PaddlePaddle/PaddleScience
PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.
katiana22/TL-DeepONet
Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
amazon-science/boon
Datasets and code for results presented in the BOON paper
dtu-act/deeponet-acoustic-wave-prop
Code for training and inferring acoustic wave propagation in 3D
HewlettPackard/separable-operator-networks
Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
junfeng-chen/position_induced_transformer
PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
nickhnelsen/fourier-neural-mappings
An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
Axect/Neural_Hamilton
Official implementation of the paper "Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?"
nickhnelsen/random-features-banach
Code for the paper "The Random Feature Model for Input-Output Maps between Banach Spaces" (SIREV SIGEST 2024, SISC 2021)
Oisin-M/GFN
Graph Feedforward Networks: a resolution-invariant generalisation of feedforward networks for graphical data, applied to model order reduction
HamidrezaEiv/KPCA-DeepONet
Nonlinear model reduction for operator learning
robin-janssen/CODES-Benchmark
Benchmarking Surrogates for coupled ODE systems.
Axect/HyperbolicLR
Hyperbolic Learning Rate Scheduler
nickhnelsen/error-bounds-for-vvRF
Code for the paper ``Error Bounds for Learning with Vector-Valued Random Features'' (NeurIPS 2023, Spotlight)
sob-ANN/Projects
Project Portfolio
AdamJamesSheppard/fokker-planck-based-data-assimilation
Fokker Planck based Data Assimilation method using Fourier Neural Operators as integrator
skoohy/FNO
Code for ENM5310 Final Project
tomcjackc/Probabilistic-Operator-Learning-for-Climate-Model-Parameterisation
Code required to reproduce results presented in "Probabilistic Operator Learning for Climate Model Parameterisation"
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
nngabe/roma
ROMA: Renormalized Operators with Multiscale Attention