NicolaRFranco / dlromsView external linksLinks
☆14Jan 17, 2026Updated 3 weeks ago
Alternatives and similar repositories for dlroms
Users that are interested in dlroms are comparing it to the libraries listed below
Sorting:
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆37Nov 13, 2025Updated 3 months 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
- Reduced order modeling with shallow recurrent decoder networks☆19Jan 20, 2026Updated 3 weeks ago
- 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
- Multi-fidelity reduced-order surrogate modeling☆31Jun 17, 2025Updated 7 months ago
- Mathematical interdisciplinary toolbox for helping engineers, researchers and scientist☆20Mar 6, 2025Updated 11 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
- Material for workshop and autumn school on scientific machine learning 2023☆21Dec 18, 2023Updated 2 years ago
- Python tools for non-intrusive reduced order modeling☆21Jan 31, 2026Updated 2 weeks ago
- Neural Operators with Applications to the Helmholtz Equation☆11Sep 19, 2024Updated last year
- ☆10Nov 24, 2025Updated 2 months ago
- ☆12Dec 13, 2024Updated last year
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆45May 2, 2018Updated 7 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆29Sep 6, 2021Updated 4 years ago
- ☆13Feb 14, 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…☆30Jan 20, 2025Updated last year
- Code for paper Sparse identification of nonlinear dynamics with Shallow Recurrent Decoder Networks.☆36Updated this week
- ☆14Jan 22, 2022Updated 4 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Jan 9, 2024Updated 2 years ago
- ☆16Aug 6, 2024Updated last year
- ☆20Aug 24, 2025Updated 5 months ago
- ☆18May 25, 2024Updated last year
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆17Jun 1, 2023Updated 2 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
- ☆12Aug 22, 2025Updated 5 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
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆23May 9, 2021Updated 4 years ago
- Deep learning framework for model reduction of dynamical systems☆21Dec 31, 2020Updated 5 years ago
- ☆29Oct 30, 2023Updated 2 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 2 years ago
- ☆21May 10, 2019Updated 6 years ago
- Deep Learning for Reduced Order Modelling☆107Nov 11, 2021Updated 4 years ago
- ☆21Dec 8, 2022Updated 3 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…☆27Jun 2, 2025Updated 8 months ago
- The MegaFlow2D dataset package☆24Sep 21, 2023Updated 2 years ago
- ☆26Jul 7, 2022Updated 3 years ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Jan 28, 2021Updated 5 years ago
- 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
- Reduced-Order Modeling of Fluid Flows with Transformers☆25May 30, 2023Updated 2 years ago