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…
☆28Jun 2, 2025Updated 11 months ago
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☆75Jan 2, 2026Updated 4 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 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 3 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…☆29Feb 3, 2026Updated 3 months 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
- Deep Learning for Reduced Order Modelling☆111Nov 11, 2021Updated 4 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆26May 30, 2023Updated 2 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.
- Model-Order Reduction Framework for Nek5000☆16Apr 10, 2026Updated last month
- ☆28Oct 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
- Codes for paper "Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning", published on AIAA Aviation F…☆22Dec 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
- Turbulent flow network source code☆72Mar 14, 2025Updated last year
- 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.
- This repository introduces Partial Differential Equation Solver using neural network that can learn resolution-invariant solution operato…☆17Nov 23, 2021Updated 4 years ago
- ☆19Jan 27, 2018Updated 8 years ago
- ☆14Apr 24, 2026Updated 3 weeks ago
- ☆19Oct 17, 2021Updated 4 years ago
- Python 2D Navier-Stokes solver☆31Aug 4, 2025Updated 9 months ago
- Deep finite volume method☆22Jun 26, 2024Updated last year
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆15Jun 27, 2025Updated 10 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆37Nov 13, 2025Updated 6 months ago
- Tecplot parser to read binary format (.plt)☆24Feb 13, 2025Updated last year
- 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 POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆39Sep 7, 2023Updated 2 years ago
- Probabilistic Finite Volume Method based on Affine Gaussian Process inference☆11Jun 10, 2024Updated last year
- System identification toolkit for multistep prediction using deep learning and hybrid methods.☆19Sep 25, 2025Updated 7 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…☆11Apr 29, 2026Updated 2 weeks ago
- An airfoil parametric method☆26Oct 20, 2018Updated 7 years ago
- Image-based estimation of the heart ventricular volume using deep learning and Gaussian process☆11Feb 28, 2023Updated 3 years ago