ischerl / RPCA-PIVLinks
☆52Updated 2 years ago
Alternatives and similar repositories for RPCA-PIV
Users that are interested in RPCA-PIV are comparing it to the libraries listed below
Sorting:
- A Python package for spectral proper orthogonal decomposition (SPOD).☆114Updated 3 weeks ago
- ☆19Updated 4 years ago
- Easy Reduced Basis method☆89Updated 2 weeks ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆95Updated 6 years ago
- Gaussian process-based interpretable latent space dynamics identification through deep autoencoder☆35Updated this week
- A library of tools for computing variants of Dynamic Mode Decomposition☆49Updated 8 years ago
- RBniCS - reduced order modelling in FEniCS (legacy)☆113Updated 8 months ago
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆160Updated this week
- MODULO (MODal mULtiscale pOd) is a software developed at the von Karman Institute to perform Multiscale Modal Analysis of numerical and e…☆94Updated last week
- This code implements the Tensor Basis Neural Network (TBNN) as described in Ling et al. (Journal of Fluid Mechanics, 2016).☆42Updated 7 years ago
- Deep Learning for Reduced Order Modelling☆100Updated 4 years ago
- multiphenicsx - easy prototyping of multiphysics problems in FEniCSx☆60Updated 3 weeks ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆33Updated 3 years ago
- This repository contains codes related to our work on physics-guided machine learning.☆15Updated 3 years ago
- Python for Scientific Computing (FEniCS, PyTorch, VTK)☆130Updated last year
- Tutorial on a number of topics in Deep Learning☆36Updated 5 years ago
- A Python library for solving any system of hyperbolic or parabolic Partial Differential Equations. The PDEs can have stiff source terms a…☆62Updated 5 years ago
- ☆54Updated 2 years ago
- Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.☆26Updated 2 years ago
- Machine learning of linear differential equations using Gaussian processes☆25Updated 7 years ago
- Immersed Boundary Projection Method☆118Updated 5 years ago
- POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…☆32Updated 5 years ago
- Computational engine for variational Lagrangian coherent structures☆45Updated 9 years ago
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆29Updated last year
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆69Updated 2 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆62Updated 4 years ago
- Python interface for libROM, library for reduced order models☆62Updated 2 months ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆75Updated last month
- A curated list of awesome Machine Learning projects in Fluid Dynamics☆106Updated 3 years ago