Topic: neural-operator Goto Github
Some thing interesting about neural-operator
Some thing interesting about neural-operator
neural-operator,Datasets and code for results presented in the BOON paper
Organization: amazon-science
neural-operator,Codomain attention neural operator for single to multi-physics PDE adaptation.
User: ashiq24
neural-operator,
User: ashiq24
neural-operator,Positron's Milky Way Energy Loss using Operator learning
User: axect
neural-operator,Official implementation of Scalable Transformer for PDE surrogate modelling
Organization: baratilab
neural-operator,This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
Organization: camlab-ethz
Home Page: https://arxiv.org/abs/2302.01178
neural-operator,Official implementation of the NeurIPS 23 spotlight paper of ♾️InfGCN♾️.
User: ccr-cheng
neural-operator,Using FNO to learning elasticity model of composite materials
User: hanfengzhai
neural-operator,A multiphase multiphysics dataset and benchmarks for scientific machine learning
Organization: hpcforge
Home Page: https://openreview.net/forum?id=0Wmglu8zak
neural-operator,Neural Operators with Applications to the Helmholtz Equation
User: jakobeliaswagner
Home Page: https://jakobeliaswagner.github.io/Neural-Operators/
neural-operator,A library for Koopman Neural Operator with Pytorch.
Organization: koopman-laboratory
neural-operator,The first global synthetic dataset for physics-ML seismic wavefield modeling and full-waveform inversion
User: lishiqianhugh
Home Page: https://global-tomo.github.io/
neural-operator,
User: minkaixu
neural-operator,Learning in infinite dimension with neural operators.
Organization: neuraloperator
Home Page: https://neuraloperator.github.io/neuraloperator/dev/index.html
neural-operator,Code for the paper ``Error Bounds for Learning with Vector-Valued Random Features''
User: nickhnelsen
neural-operator,An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
User: nickhnelsen
Home Page: https://doi.org/10.22002/r5ga1-55d06
neural-operator,Code for the paper "The Random Feature Model for Input-Output Maps between Banach Spaces"
User: nickhnelsen
Home Page: https://doi.org/10.22002/55tdh-hda68
neural-operator,Implementation of neural operator papers in PyTorch for easier usage. Achieve SOTA in PDE prediction.
User: nicolailassen
neural-operator,Neural Operators implemented with JAX and Equinox
User: nimahsn
neural-operator,This repository contains the code for the paper: Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation
User: optray
Home Page: https://arxiv.org/abs/2302.05104
neural-operator,This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physical mechanisms, National Science Review, 2024
User: optray
Home Page: https://academic.oup.com/nsr/advance-article/doi/10.1093/nsr/nwad336/7503933?login=false
neural-operator,Automatic Functional Differentiation in JAX
Organization: sail-sg
neural-operator,Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
User: scaomath
neural-operator,No need to train, he's a smooth operator
Organization: sciml
Home Page: https://operatorlearning.sciml.ai/dev
neural-operator,Submission to the Stanford FLAME AI 2023 - ML Challenge
User: thomasxwang
Home Page: https://www.kaggle.com/competitions/2023-flame-ai-challenge
neural-operator,Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
User: tomoleary
neural-operator,Code for ICML 24 paper "Implicit Representations via Operator Learning"
Organization: vsingh-group
neural-operator,Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks
User: yichengdwu
Home Page: https://yichengdwu.github.io/Sophon.jl/dev/
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