Alternatives and similar repositories for EZyRB:

Users that are interested in EZyRB are comparing it to the libraries listed below

• RBniCS / RBniCS
  RBniCS - reduced order modelling in FEniCS (legacy)
  ☆106Updated last month
• ITHACA-FV / ITHACA-FV
  Reduced order modelling techniques for OpenFOAM
  ☆188Updated last week
• MathEXLab / PySPOD
  A Python package for spectral proper orthogonal decomposition (SPOD).
  ☆108Updated 4 months ago
• FlowModelingControl / flowtorch
  flowTorch - a Python library for analysis and reduced-order modeling of fluid flows
  ☆149Updated last month
• pranshupant / DL-ROM
  Deep Learning for Reduced Order Modelling
  ☆97Updated 3 years ago
• kylebeggs / POD-RBF
  Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network
  ☆65Updated last year
• Willcox-Research-Group / rom-operator-inference-Python3
  Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
  ☆72Updated this week
• cwrowley / ibpm
  Immersed Boundary Projection Method
  ☆110Updated 5 years ago
• LLNL / pylibROM
  Python interface for libROM, library for reduced order models
  ☆61Updated 2 months ago
• mendezVKI / MODULO
  MODULO (MODal mULtiscale pOd) is a software developed at the von Karman Institute to perform Multiscale Modal Analysis of numerical and e…
  ☆88Updated 5 months ago
• KVSlab / turtleFSI
  Monolithic Fluid-Structure Interaction (FSI) solver
  ☆68Updated 3 weeks ago
• ContiPaolo / MultiFidelity_POD
  Multi-fidelity reduced-order surrogate modeling
  ☆21Updated 4 months ago
• Willcox-Research-Group / ROM-OpInf-Combustion-2D
  Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …
  ☆30Updated 2 years ago
• cics-nd / rans-uncertainty
  Uncertainty Quantification of RANS Data-Driven Turbulence Modeling
  ☆58Updated 4 years ago
• DrZGan / Python_CFD
  A Computational Fluid Dynamics (CFD) course with Python
  ☆74Updated last year
• fpichi / gca-rom
  GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.
  ☆36Updated last week
• LLNL / libROM
  Data-driven model reduction library with an emphasis on large scale parallelism and linear subspace methods
  ☆216Updated 3 weeks ago
• xiaoh / turbulence-modeling-PIML
  Data-driven Reynolds stress modeling with physics-informed machine learning
  ☆92Updated 6 years ago
• cwrowley / dmdtools
  A library of tools for computing variants of Dynamic Mode Decomposition
  ☆46Updated 7 years ago
• LLNL / LaSDI
  ☆51Updated 2 years ago
• vassilikitsios / snapshot_pod_rom_py
  Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …
  ☆35Updated 9 years ago
• mathLab / ATHENA
  ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
  ☆52Updated last year
• xiaoh / DAFI
  DAFI: Ensemble based data assimilation and field inversion, repository for internal development
  ☆54Updated last year
• LLNL / GPLaSDI
  ☆33Updated last week
• redbKIT / redbKIT
  redbKIT is a MATLAB library for reduced-order modeling of parametrized PDEs
  ☆57Updated 7 months ago
• LLNL / gLaSDI
  ☆29Updated last year
• cics-nd / ar-pde-cnn
  Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
  ☆92Updated 2 years ago
• haranjackson / PyPDE
  A Python library for solving any system of hyperbolic or parabolic Partial Differential Equations. The PDEs can have stiff source terms a…
  ☆57Updated 5 years ago
• stefaniafresca / POD-DL-ROM
  Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…
  ☆29Updated last year
• SpectralPOD / spod_matlab
  Spectral proper orthogonal decomposition in Matlab
  ☆135Updated 7 months ago