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GitHub topics: operator-learning

PaddlePaddle/PaddleScience

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

Language: Python - Size: 71.9 MB - Last synced at: about 16 hours ago - Pushed at: about 17 hours ago - Stars: 344 - Forks: 202

HewlettPackard/separable-operator-networks

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

Language: Python - Size: 942 KB - Last synced at: 3 days ago - Pushed at: 6 months ago - Stars: 26 - Forks: 1

robin-janssen/CODES-Benchmark

Benchmarking Surrogates for coupled ODE systems.

Language: Python - Size: 196 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 5 - Forks: 2

nickhnelsen/random-features-banach

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

Language: Python - Size: 19.7 MB - Last synced at: 19 days ago - Pushed at: 9 months ago - Stars: 10 - Forks: 1

Axect/Neural_Hamilton

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

Language: Python - Size: 149 KB - Last synced at: about 16 hours ago - Pushed at: 3 months ago - Stars: 10 - Forks: 0

nickhnelsen/fourier-neural-mappings

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

Language: Python - Size: 4.3 MB - Last synced at: 19 days ago - Pushed at: 11 months ago - Stars: 18 - Forks: 0

nickhnelsen/error-bounds-for-vvRF

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

Language: Python - Size: 76.2 KB - Last synced at: 19 days ago - Pushed at: 9 months ago - Stars: 3 - Forks: 0

nngabe/roma

ROMA: Renormalized Operators with Multiscale Attention

Language: Jupyter Notebook - Size: 16.3 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Axect/HyperbolicLR

Hyperbolic Learning Rate Scheduler

Language: Python - Size: 12.4 MB - Last synced at: about 16 hours ago - Pushed at: 2 months ago - Stars: 3 - Forks: 1

amazon-science/boon

Datasets and code for results presented in the BOON paper

Language: Jupyter Notebook - Size: 458 KB - Last synced at: 14 days ago - Pushed at: about 2 years ago - Stars: 43 - Forks: 7

HamidrezaEiv/KPCA-DeepONet

Nonlinear model reduction for operator learning

Language: Python - Size: 331 KB - Last synced at: 28 days ago - Pushed at: 7 months ago - Stars: 7 - Forks: 0

dtu-act/deeponet-acoustic-wave-prop

Code for training and inferring acoustic wave propagation in 3D

Language: Python - Size: 123 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 30 - Forks: 1

Oisin-M/GFN

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

Language: Jupyter Notebook - Size: 701 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 7 - Forks: 0

AdamJamesSheppard/fokker-planck-based-data-assimilation

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

Language: Jupyter Notebook - Size: 7.29 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

junfeng-chen/position_induced_transformer

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

Language: Python - Size: 5.46 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 14 - Forks: 1

sob-ANN/Projects

Project Portfolio

Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

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

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

Language: Jupyter Notebook - Size: 57.9 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

nngabe/renonets

RenONet: Multiscale operator learning for complex social systems

Language: Python - Size: 14.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

katiana22/TL-DeepONet

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

Language: Python - Size: 8.99 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 36 - Forks: 7