neural-operators

There are 1 repository under neural-operators topic.

neuraloperator / neuraloperator
Learning in infinite dimension with neural operators.
fno fourier-neural-operator neural-operator neural-operators partial-differential-equations pde pytorch tensor-methods tensorization tensorly uno
Language:Python 3054
pdebench / PDEBench
PDEBench: An Extensive Benchmark for Scientific Machine Learning
ai autoregressive-models benchmark deep-learning fluid-dynamics jax machine-learning navier-stokes-equations neural-networks neural-operators partial-differential-equations physics-informed-neural-networks pytorch scientific scientific-computing sciml simulation
Language:Python 989
mathLab / PINA
Physics-Informed Neural networks for Advanced modeling
physics-informed-neural-networks modeling machine-learning deep-learning python pytorch differential-equations ode pde physics-informed hacktoberfest lightining pinn equation-learning neural-networks neural-operators pytorch-lightning torch-geometric
Language:Python 584
thuml / Neural-Solver-Library
A Library for Advanced Neural PDE Solvers.
deep-learning pde-solver neural-operators
Language:Python 227
camlab-ethz / ConvolutionalNeuralOperator
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
deep-learning ml4physics benchmark cno ml4science neural-operator neural-operators pytorch fno navier-stokes navier-stokes-equations partial-differential-equations pde pde-solver scientific-computing
Language:Python 195
katiana22 / latent-deeponet
Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
deeponet dimension-reduction fluid-dynamics latent-spaces materials-science neural-operators partial-differential-equations regression
Language:Python 74
aai-institute / continuiti
Learning function operators with neural networks.
physics-informed-ml neural-operators transferlab
Language:Python 34
AI4Science-WestlakeU / beno
[ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
graph-neural-networks neural-operators boundary-embedded neural-pde-solver
Language:Python 29
procf / RhINNs
Rheology-informed Machine Learning Projects
neural-networks neural-operators physics-informed-learning physics-informed-neural-networks scientific-machine-learning
Language:Jupyter Notebook 21
amazon-science / operator-probconserv
Official implementation of Operator-ProbConserv: OOD UQ for Neural Operators
conservation-laws neural-operators out-of-domain partial-differential-equations shock-capturing uncertainty-quantification
Language:Python 6
anac0der / fno_from_scratch
Implementation of Fourier Neural Operator from scratch
deep-learning fourier-neural-operator neural-operators partial-differential-equations physics-informed-neural-networks from-scratch
Language:Jupyter Notebook 4
anac0der / fnoreg
[ICPR 2024] FNOReg: Resolution-Robust Medical Image Registration Method Based on Fourier Neural Operator
deep-learning fourier-neural-operator image-registration resolution-independent medical-image-registration neural-operators
Language:Python 4
MethodsOfMachineLearning / luno
LUNO: Linearized Predictive Uncertainty in Neural Operators
bayesian-deep-learning bayesian-neural-networks gaussian-processes neural-operators uncertainty-quantification fourier-neural-operators
Language:Python 3
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
data-driven-model neural-operators operator-learning pde-solver sciml symbolic-regression transfer-learning sindy pde-find
Language:Python 0
bzlu-Group / MAD-Operator-Learning
data-generator machine-learning-algorithms neural-operators pdesolving
Language:Python
eduardburlacu / PE_ML
Physics-Enhanced Machine Learning
neural-operators physics-informed-neural-networks
Language:Jupyter Notebook
Gwangjae-Jung / deep_numerical
This repository provides numerical solvers for several kinetic equations (inelastic Boltzmann equation, Fokker-Planck-Landau equation, and the BGK equation) and several implementation of neural solvers for the Boltzmann equation.
kinetic-theory neural-networks neural-operators numerical-analysis numerical-methods
Language:Jupyter Notebook