Neural Operators with Applications to the Helmholtz Equation
☆11Sep 19, 2024Updated last year
Alternatives and similar repositories for NeuralOperators
Users that are interested in NeuralOperators are comparing it to the libraries listed below
Sorting:
- The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"☆11May 17, 2024Updated last year
- code for Deep Neural Helmholtz Operators for 3D Elastic Wave Propagation and Inversion☆31May 16, 2025Updated 9 months ago
- Code to run 3D simulations of the elastic wave equation and predict outputs with 3D neural operators☆41Jun 20, 2025Updated 8 months ago
- ☆14Feb 16, 2026Updated 2 weeks ago
- ☆18May 25, 2024Updated last year
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆17Jun 1, 2023Updated 2 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆16Sep 7, 2023Updated 2 years ago
- ☆12Aug 22, 2025Updated 6 months ago
- ☆42May 8, 2020Updated 5 years ago
- ☆16Dec 13, 2022Updated 3 years ago
- ☆87Jul 18, 2023Updated 2 years ago
- ☆15Oct 25, 2021Updated 4 years ago
- ☆53Jul 21, 2025Updated 7 months ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆24May 13, 2024Updated last year
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆25Jun 3, 2025Updated 9 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Jun 10, 2024Updated last year
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆28Oct 22, 2024Updated last year
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆34Dec 7, 2025Updated 2 months ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆31Jan 21, 2021Updated 5 years ago
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- ☆16Nov 2, 2025Updated 4 months ago
- ☆37Jul 9, 2025Updated 7 months ago
- ☆11Nov 13, 2023Updated 2 years ago
- ☆29Jul 8, 2024Updated last year
- NodeLab is a simple MATLAB-repository for node-generation and adaptive refinement for testing, and implementing various meshfree methods …☆32Feb 12, 2025Updated last year
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆36Oct 17, 2024Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆37Nov 13, 2025Updated 3 months ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- ☆17Apr 18, 2024Updated last year
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆37Sep 7, 2023Updated 2 years ago
- A LaTeX poster template for scientific posters.☆14Oct 11, 2012Updated 13 years ago
- This repository is a guided tutorial on Pseudo-Spectral method that in long run can help as a basis for study material on Direct Numerica…☆12Sep 23, 2021Updated 4 years ago
- GPU based 2D elastic FWI☆12Mar 6, 2018Updated 7 years ago
- 深度学习之神经网络核心原理与算法-课程学习相关代码☆12Aug 18, 2018Updated 7 years ago
- InVivoTools a set of neurophysiology tools, forked from VanHooserTools, containing tools for visual stimulation and analysis of calcium i…☆14Oct 12, 2025Updated 4 months ago
- Physics Informed Sparse Identification of Nonlinear Dynamics☆12Jan 3, 2025Updated last year
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆18Nov 18, 2024Updated last year
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆14Dec 24, 2025Updated 2 months ago
- Generalized sparse regression for continuous and discrete data☆12Feb 23, 2026Updated last week