Alternatives and similar repositories for EasySurrogate:

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

• sheadan / SINDy-BVP
  Sparse Identification of Nonlinear Dynamics for Boundary Value Problems
  ☆12Updated 4 years ago
• Willcox-Research-Group / rom-operator-inference-Python3
  Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
  ☆72Updated 3 weeks ago
• UCL-CCS / EasyVVUQ
  Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.
  ☆94Updated last week
• DENG-MIT / Stiff-PINN
  Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics
  ☆56Updated 2 years ago
• LLNL / DD-NM-ROM
  ☆14Updated 8 months ago
• ContiPaolo / MultiFidelity_POD
  Multi-fidelity reduced-order surrogate modeling
  ☆22Updated this week
• 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
• elvissoares / PyCahnHilliard
  A python script to solve the Cahn-Hilliard equation using an implicit pseudospectral method
  ☆40Updated 9 months ago
• DENG-MIT / reactorch
  A Differentiable Reacting Flow Simulation Package in PyTorch
  ☆51Updated 3 years ago
• kamilazdybal / POD-DMD-decompositions
  POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…
  ☆30Updated 4 years ago
• LLNL / LaSDI
  ☆51Updated 2 years ago
• LLNL / gLaSDI
  ☆29Updated last year
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆68Updated 4 years ago
• MathEXLab / PySPOD
  A Python package for spectral proper orthogonal decomposition (SPOD).
  ☆108Updated 5 months ago
• pavaninguva / pde-Solver-Course
  Introduction to declarative PDE solvers
  ☆41Updated 3 years ago
• lu-group / multifidelity-deeponet
  Multifidelity DeepONet
  ☆31Updated last year
• bfly123 / PINN_WE
  Discontinuity Computing Using Physics-Informed Neural Network
  ☆24Updated last year
• kylebeggs / POD-RBF
  Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network
  ☆65Updated last year
• CraigGin / PDEKoopman2
  Update PDEKoopman code to Tensorflow 2
  ☆23Updated 4 years ago
• CarlosJose126 / NeuralODE-ROM
  This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"
  ☆19Updated 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…
  ☆58Updated 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…
  ☆30Updated last year
• sandialabs / UQTk
  Sandia Uncertainty Quantification Toolkit
  ☆80Updated 4 months ago
• mathLab / EZyRB
  Easy Reduced Basis method
  ☆84Updated last month
• fpichi / gca-rom
  GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.
  ☆36Updated 3 weeks ago
• fluid126 / machine-learning-turbulence
  ☆19Updated 7 years 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 6 months ago
• hippylib / hippyflow
  Dimension reduced surrogate construction for parametric PDE maps
  ☆37Updated last month
• chyalexcheng / grainLearning
  A Bayesian uncertainty quantification toolbox for discrete and continuum models of granular materials. Note that this repository contains…
  ☆12Updated last year
• DENG-MIT / StiffNeuralODE
  Stiff Neural Ordinary Differential Equations
  ☆32Updated last year