GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.
☆40May 15, 2026Updated 4 months ago
Alternatives and similar repositories for gca-rom
Users that are interested in gca-rom are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆15Apr 24, 2026Updated 5 months ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆44Sep 7, 2023Updated 3 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆18Sep 7, 2023Updated 3 years ago
- Mathematical interdisciplinary toolbox for helping engineers, researchers and scientist☆20Mar 6, 2025Updated last year
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Python tools for non-intrusive reduced order modeling☆21Jan 31, 2026Updated 8 months ago
- ☆26Jul 16, 2026Updated 2 months ago
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆21Jan 6, 2021Updated 5 years ago
- Multi-fidelity reduced-order surrogate modeling☆35Jun 17, 2025Updated last year
- Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechan…☆14Aug 18, 2023Updated 3 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆79Jan 2, 2026Updated 9 months ago
- Deep Learning for Reduced Order Modelling☆117Nov 11, 2021Updated 4 years ago
- Graph Convolutional Networks for Unstructured Flow Fields☆14Sep 5, 2022Updated 4 years ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Oct 23, 2018Updated 7 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- 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
- POD-PINN code and manuscript☆62Nov 10, 2024Updated last year
- BARNN: A Bayesian Autoregressive and Recurrent Neural Network - Official Repository☆17Mar 10, 2025Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆26May 30, 2023Updated 3 years ago
- redbKIT is a MATLAB library for reduced-order modeling of parametrized PDEs☆64Aug 26, 2024Updated 2 years ago
- Deep learning framework for model reduction of dynamical systems☆21Dec 31, 2020Updated 5 years ago
- Turbulent flow network source code☆72Mar 14, 2025Updated last year
- Official implementation of Learning Dissipative Chaos In A Linear Way☆16Feb 6, 2025Updated last year
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 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.
- Generic Linear Algebra Porting of PyDMD [Ongoing]☆11Aug 11, 2023Updated 3 years ago
- ☆22May 25, 2024Updated 2 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆33Jan 20, 2025Updated last year
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆20Jan 9, 2024Updated 2 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆30Sep 6, 2021Updated 5 years ago
- Easy Reduced Basis method☆98May 25, 2026Updated 4 months ago
- ☆15Apr 5, 2024Updated 2 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆21Sep 14, 2022Updated 4 years ago
- Physics-Informed Neural networks for Advanced modeling☆798Oct 6, 2026Updated last week
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆12Dec 13, 2024Updated last year
- Official repository for the "Multiple wavefield solutions in physics-informed neural networks using latent representation" paper.☆17May 1, 2025Updated last year
- 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…☆29Jun 2, 2025Updated last year
- RBniCS - reduced order modelling in FEniCS (legacy)☆122Mar 1, 2025Updated last year
- Adaptive discrete empirical interpolation method☆16Feb 18, 2020Updated 6 years ago
- ☆14Feb 14, 2024Updated 2 years ago
- Neural Operators with Applications to the Helmholtz Equation☆11Sep 19, 2024Updated 2 years ago