Deep Learning for Reduced Order Modelling
☆116Nov 11, 2021Updated 4 years ago
Alternatives and similar repositories for DL-ROM
Users that are interested in DL-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:
- 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
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆43Sep 7, 2023Updated 2 years ago
- Standardized Non-Intrusive Reduced Order Modeling☆13Nov 30, 2022Updated 3 years ago
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆21Jan 6, 2021Updated 5 years 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
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆32Jan 20, 2025Updated last year
- Python tools for non-intrusive reduced order modeling☆21Jan 31, 2026Updated 5 months ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆28Sep 7, 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.☆17Sep 7, 2023Updated 2 years ago
- OpenFOAM examples for data-driven ML and ROM☆19Jul 25, 2023Updated 2 years ago
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆173Updated this week
- Numerical tool for Construction of Reduced-order models for fluid flows.☆31Jan 21, 2021Updated 5 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆39May 15, 2026Updated 2 months ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆78Jan 2, 2026Updated 6 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- 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
- Enhancing Dynamic Mode Decomposition using Autoencoder Networks.☆35Apr 2, 2021Updated 5 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
- Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow …☆23Apr 29, 2021Updated 5 years ago
- Reduced order modelling techniques for OpenFOAM☆212Jul 13, 2026Updated last week
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆18May 14, 2021Updated 5 years ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Jun 7, 2020Updated 6 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆40Jul 4, 2015Updated 11 years ago
- Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"☆11Sep 19, 2020Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Data-driven model reduction library with an emphasis on large scale parallelism and linear subspace methods☆235May 14, 2026Updated 2 months ago
- This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogat…☆15Feb 27, 2021Updated 5 years ago
- redbKIT is a MATLAB library for reduced-order modeling of parametrized PDEs☆65Aug 26, 2024Updated last year
- RBniCS - reduced order modelling in FEniCS (legacy)☆119Mar 1, 2025Updated last year
- Turbulent flow network source code☆72Mar 14, 2025Updated last year
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 5 years 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…☆29Jun 2, 2025Updated last year
- ☆14Apr 24, 2026Updated 3 months ago
- pyMOR - Model Order Reduction with Python☆346Updated this 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.
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- Code for data-assisted reduced-order modeling of extreme events in complex dynamical systems, available on arXiv: https://arxiv.org/abs/1…☆22Aug 22, 2018Updated 7 years ago
- Deep learning framework for model reduction of dynamical systems☆21Dec 31, 2020Updated 5 years ago
- CNN model to predict the lift-drag ratio of airfoil☆18Feb 28, 2021Updated 5 years ago
- Reduced Order Model Predictive Control☆28Dec 21, 2021Updated 4 years ago
- Multi-fidelity reduced-order surrogate modeling☆35Jun 17, 2025Updated last year
- Pseudospectral Kolmogorov Flow Solver☆43Oct 24, 2023Updated 2 years ago