KTH-FlowAI / beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flowsView on GitHub
☆48Apr 21, 2025Updated last year
Alternatives and similar repositories for beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows
Users that are interested in beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆11Apr 5, 2023Updated 3 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆26May 30, 2023Updated 3 years ago
- ☆12Dec 13, 2024Updated last year
- 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
- 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
- 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.
- Multi-fidelity reduced-order surrogate modeling☆35Jun 17, 2025Updated last year
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆25May 9, 2021Updated 5 years ago
- A dissipative particle dynamics (DPD) project.☆13Aug 16, 2023Updated 2 years ago
- ITHACA-SEM - In real Time Highly Advanced Computational Applications for Spectral Element Methods☆21Jun 21, 2022Updated 4 years ago
- A Glyph script for generating NACA 4-series airfoil geometries and boundary layer meshes.☆31Jun 4, 2026Updated last month
- ☆13May 27, 2025Updated last year
- This is the implementation of the RecFNO.☆27Feb 21, 2023Updated 3 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆29Apr 20, 2024Updated 2 years ago
- ☆12May 3, 2023Updated 3 years 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.
- Reduced order modeling with shallow recurrent decoder networks☆30Jun 10, 2026Updated last month
- Code and data for paper named: Large language models for automatic equation discovery of nonlinear dynamics☆14Mar 6, 2025Updated last year
- ☆10Mar 31, 2021Updated 5 years ago
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆22Jul 5, 2023Updated 3 years ago
- Code for Sparse identification of nonlinear dynamics with Shallow Recurrent Decoder Networks, PNAS.☆56Jun 11, 2026Updated last month
- ☆11Mar 31, 2021Updated 5 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
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆78Jan 2, 2026Updated 6 months ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆28Nov 6, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- This is a 3D test case of the code PFMICE☆12Mar 1, 2022Updated 4 years ago
- Fourier neural operator for real-time simulation of 3D dynamic urban microclimate☆24Dec 4, 2024Updated last year
- Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration☆19Sep 7, 2024Updated last year
- ☆29Jun 12, 2025Updated last year
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆30Sep 6, 2021Updated 4 years ago
- ☆13Jan 23, 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…☆32Jan 20, 2025Updated last year
- Use deep learning to learn a turbulence model from high fedelity data. The model can reasonably predict other turbulent flows.☆21Mar 27, 2019Updated 7 years ago
- ☆23May 10, 2019Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- This repository is for the paper: Computation of two-dimensional Stokes flows via lightning and AAA rational approximation. These MATLAB …☆17Apr 29, 2026Updated 3 months ago
- ☆17Apr 28, 2024Updated 2 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
- A Physics Informed Neural Network Implementation for Burgers Equation in Tensorflow 2.0☆11Feb 25, 2022Updated 4 years ago
- ☆14Apr 24, 2026Updated 3 months ago
- Prediction of the velocity flow fields at a given distance from wall, starting from wall-measured quantities in wall-bounded turbulence☆22Jan 27, 2022Updated 4 years ago
- Repository outlining functions and tests for automatic regression of governing equations (ARGOS)☆19Jan 11, 2024Updated 2 years ago