A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Easily runnable on Google Colab.
☆30Jan 20, 2025Updated last year
Alternatives and similar repositories for Reduced-Order-Modeling-Tutorials
Users that are interested in Reduced-Order-Modeling-Tutorials are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robus…☆37Dec 29, 2023Updated 2 years ago
- ☆32Oct 6, 2022Updated 3 years ago
- A hybrid Decoder-DeepONet operator regression framework for unaligned observation data☆10Jul 16, 2023Updated 2 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆10Sep 4, 2025Updated 9 months ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆20Mar 23, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Deep Learning for Reduced Order Modelling☆112Nov 11, 2021Updated 4 years ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆42Sep 7, 2023Updated 2 years ago
- ☆14Apr 24, 2026Updated last month
- Python tools for non-intrusive reduced order modeling☆21Jan 31, 2026Updated 4 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆82Aug 4, 2023Updated 2 years ago
- A Deep Learning Approach to Solving PDEs: Implementing Neural Networks with Pytorch and Jax☆10Apr 27, 2023Updated 3 years ago
- Multi-fidelity reduced-order surrogate modeling☆34Jun 17, 2025Updated 11 months ago
- Implementing a physics-informed DeepONet from scratch☆63Jul 9, 2023Updated 2 years ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆31Jan 21, 2021Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Applied project based on PINNs. The physical problem is sound propagation underwater&Helmholtz equation.☆17Oct 14, 2021Updated 4 years ago
- ☆14Apr 5, 2024Updated 2 years ago
- Competitive Physics Informed Networks☆31Sep 21, 2024Updated last year
- Reduced order modeling with shallow recurrent decoder networks☆29May 26, 2026Updated 2 weeks ago
- ☆48Jul 6, 2023Updated 2 years ago
- ☆28Oct 31, 2023Updated 2 years ago
- ☆55Oct 9, 2022Updated 3 years ago
- Implementation of the deep operator network in pytorch, with examples of solving Differential Equations☆17Mar 30, 2024Updated 2 years ago
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆36Aug 2, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆29Mar 17, 2026Updated 2 months ago
- This repo contains a PyTorch-based AE-ConvLSTM model for fluid flow prediction. It can forecast 5–10 time steps per forward pass and over…☆28Jun 2, 2025Updated last year
- The MegaFlow2D dataset package☆25Sep 21, 2023Updated 2 years ago
- ☆12Dec 13, 2024Updated last year
- ☆11Mar 18, 2023Updated 3 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆37May 15, 2026Updated 3 weeks ago
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆46May 2, 2018Updated 8 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆30Sep 6, 2021Updated 4 years ago
- Code for training and inferring acoustic wave propagation in 3D☆46May 12, 2026Updated 3 weeks ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆17Sep 7, 2023Updated 2 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆382Jul 14, 2023Updated 2 years ago
- Material for the tutorial on "Physics-Informed Machine Learning (PIML) for Modeling and Control of Dynamical Systems" presented at the Am…☆19Apr 4, 2024Updated 2 years ago
- Repository for sharing code and data assocaited with En-DeepONet architecture☆36Jan 15, 2024Updated 2 years ago
- This is the implementation of the RecFNO.☆26Feb 21, 2023Updated 3 years ago
- OMesh2KRAKEN: A tool for mesh generation with OceanMesh2D for underwater acoustic modeling with KRAKEN☆13Mar 14, 2023Updated 3 years ago
- Tutorial on proper orthogonal decomposition (POD) based reduced order modeling (ROM) for the heat equation with FEniCS.☆10Mar 30, 2022Updated 4 years ago