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 100 steps in rollout. The model is trained using both data-driven and physics-constrained methods. While Burgers' equation was learned successfully with PDE loss, unsteady Navier–Stokes training did not conver…
☆29Jun 2, 2025Updated last year
Alternatives and similar repositories for AE-ConvLSTM-Flow-Dynamics
Users that are interested in AE-ConvLSTM-Flow-Dynamics are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆30Sep 6, 2021Updated 4 years ago
- ConvLSTM-AE_VAD_ICME2017 (code reimplementation)☆21Oct 10, 2020Updated 5 years ago
- Convolution Neural Network based solution for 2D steady state Navier Stokes equation for submerged badies☆13May 3, 2021Updated 5 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆78Jan 2, 2026Updated 5 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- 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
- Python tools for non-intrusive reduced order modeling☆21Jan 31, 2026Updated 4 months ago
- Mapping, Radial Basis Function, RBF, FSI☆12May 17, 2020Updated 6 years ago
- ☆12Dec 13, 2024Updated 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
- Enabling in Silico Clinical Trials with Cardiac Digital Twins: Data-driven Calibration of Human Biventricular Activation and Repolarisati…☆32Feb 3, 2026Updated 4 months ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆31Jan 20, 2025Updated last year
- Deep Learning for Reduced Order Modelling☆114Nov 11, 2021Updated 4 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆26May 30, 2023Updated 3 years ago
- 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.
- Model-Order Reduction Framework for Nek5000☆16Apr 10, 2026Updated 2 months ago
- ☆30Oct 31, 2023Updated 2 years ago
- Standardized Non-Intrusive Reduced Order Modeling☆13Nov 30, 2022Updated 3 years ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆31Jan 21, 2021Updated 5 years ago
- Simple (and not-so-simple) CFD solvers written in Fortran with Python plotting routines☆20Oct 8, 2019Updated 6 years ago
- Headway - Selenium Maven TestNG POM Data Driven Framework☆18Jul 2, 2025Updated 11 months ago
- Codes for paper "Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning", published on AIAA Aviation F…☆23Dec 5, 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
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆21Jan 6, 2021Updated 5 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.
- Turbulent flow network source code☆72Mar 14, 2025Updated last year
- ☆19Jan 27, 2018Updated 8 years ago
- Companion code for Data-Driven Resolvent Analysis☆24Jun 17, 2021Updated 5 years ago
- ☆14Apr 24, 2026Updated 2 months ago
- ☆19Oct 17, 2021Updated 4 years ago
- Python 2D Navier-Stokes solver☆30Aug 4, 2025Updated 10 months ago
- Deep finite volume method☆22Jun 26, 2024Updated 2 years ago
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆15Jun 27, 2025Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆39May 15, 2026Updated last month
- 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.
- 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
- Tecplot parser to read binary format (.plt)☆24Feb 13, 2025Updated last year
- Probabilistic Finite Volume Method based on Affine Gaussian Process inference☆11Jun 10, 2024Updated 2 years ago
- System identification toolkit for multistep prediction using deep learning and hybrid methods.☆19Sep 25, 2025Updated 9 months ago
- Mathematical interdisciplinary toolbox for helping engineers, researchers and scientist☆20Mar 6, 2025Updated last year
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆12Apr 29, 2026Updated last month
- An airfoil parametric method☆26Oct 20, 2018Updated 7 years ago