Alternatives and similar repositories for MultiRes_Discovery

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

• tumaer / SITE
  Sparse Identification of Truncation Errors (SITE) for Data-Driven Discovery of Modified Differential Equations
  ☆10Updated 5 years ago
• niallmm / SINDy_AIC
  combination of sparse identification of nonlinear dynamics with Akaike information criteria
  ☆16Updated 7 years ago
• cwrowley / dmdtools
  A library of tools for computing variants of Dynamic Mode Decomposition
  ☆48Updated 7 years ago
• dynamicslab / langevin-regression
  Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
  ☆25Updated 3 years ago
• maziarraissi / PDE_GP
  Machine learning of linear differential equations using Gaussian processes
  ☆24Updated 7 years ago
• duqbo / optdmd
  A MATLAB package for computing the optimized dynamic mode decomposition (DMD)
  ☆18Updated 6 years ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• aaren / sparse_dmd
  sparse dynamic mode decomposition in python
  ☆37Updated 9 years ago
• barbagroup / jcs_paper_pinn
  PINN paper that will be submitted to Journal of Computational Science
  ☆11Updated 11 months ago
• akaptano / POD-Galerkin_MHD
  This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…
  ☆20Updated 4 years ago
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆30Updated 2 years ago
• clawpack / riemann
  One place for all Clawpack-style Riemann solvers
  ☆47Updated last week
• stefaniafresca / DL-ROM
  Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.
  ☆15Updated last year
• gramian / hapod
  HAPOD - Hierarchical Approximate Proper Orthogonal Decomposition
  ☆15Updated 3 years ago
• rocketmlhq / sciml
  Scientific Machine Learning Tutorials
  ☆38Updated 3 years ago
• tomoleary / dino
  Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
  ☆16Updated last year
• mpimd-csc / RK4-SinDy
  ☆11Updated 3 years ago
• jeffrey-hokanson / PSDR
  Parameter space dimension reduction toolbox
  ☆13Updated 2 years ago
• MatthewGeleta / Numerical-methods-for-the-Cahn-Hilliard-equation
  Numerical schemes for the Cahn-Hilliard equation.
  ☆18Updated 8 years ago
• erichson / DMDpack
  Dynamic Mode Decomposition
  ☆59Updated 7 years ago
• hippylib / hippyflow
  Dimension reduced surrogate construction for parametric PDE maps
  ☆37Updated 2 months ago
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆69Updated last year
• ahbarnett / mpspack
  2D Helmholtz scattering and eigenvalue problems via particular solutions and integral equations
  ☆36Updated 2 years ago
• Pressio / pressio4py
  Python bindings to pressio
  ☆10Updated 2 years ago
• nw2190 / ConvPDE
  Convolutional Solvers for Partial Differential Equations
  ☆28Updated 4 years ago
• jesserobertson / pydym
  Dynamic mode decomposition in Python
  ☆13Updated 10 years ago
• IvanYashchuk / jax-fenics
  Differentiable interface to FEniCS for JAX
  ☆54Updated 4 years ago
• oxfordcontrol / OMD
  A Matlab package for computing the optimal mode decomposition (OMD) or dynamic mode decomposition (DMD).
  ☆15Updated 8 years ago
• lanl / SEPIA
  Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.
  ☆35Updated last year
• mathLab / ITHACA-SEM
  ITHACA-SEM - In real Time Highly Advanced Computational Applications for Spectral Element Methods
  ☆20Updated 3 years ago