Projects in Awesome Lists tagged with operator-learning

A curated list of projects in awesome lists tagged with operator-learning .

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https://github.com/PaddlePaddle/PaddleScience

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

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

Last synced: 14 Oct 2025

https://github.com/paddlepaddle/paddlescience

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

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

Last synced: 14 May 2025

https://github.com/dtu-act/deeponet-acoustic-wave-prop

Code for training and inferring acoustic wave propagation in 3D

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

Last synced: 08 Mar 2026

https://github.com/hewlettpackard/separable-operator-networks

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

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

Last synced: 07 Mar 2026

https://github.com/axect/neural_hamilton

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

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

Last synced: 25 Feb 2026

https://github.com/amazon-science/boon

Datasets and code for results presented in the BOON paper

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

Last synced: 03 May 2025

https://github.com/nickhnelsen/fourier-neural-mappings

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

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

Last synced: 03 Apr 2025

https://github.com/oisin-m/gfn

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

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

Last synced: 23 Jun 2025

https://github.com/nickhnelsen/error-bounds-for-vvrf

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

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

Last synced: 16 Sep 2025

https://github.com/axect/hyperboliclr

Hyperbolic Learning Rate Scheduler

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

Last synced: 13 Apr 2025

https://github.com/luiswirth/epgp-thesis

Ehrenpreis-Palamodov Gaussian Process for Maxwell's Equations: Boundary Element Method Benchmark for PEC Cavity Reaction Field

ai4science boundary-element-method electromagnetics gaussian-processes hybrid-modeling inverse-scattering maxwell-equations operator-learning partial-differential-equations physics-informed-ml sciml

Last synced: 16 Jun 2026

https://github.com/nickhnelsen/random-features-banach

Code for the paper "The Random Feature Model for Input-Output Maps between Banach Spaces"

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

Last synced: 03 Apr 2025