Alternatives and similar repositories for SSMLearn

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

• baddoo / piDMD
  MATLAB codes for physics-informed dynamic mode decomposition (piDMD)
  ☆151Updated last year
• haller-group / SSMLearnPy
  Data-driven reduced order modeling for nonlinear dynamical systems
  ☆30Updated this week
• haller-group / SSMTool-2.4
  Computation of invariant manifolds in high-dimensional mechanics problems
  ☆25Updated last year
• pranshupant / DL-ROM
  Deep Learning for Reduced Order Modelling
  ☆99Updated 3 years ago
• opaliss / dmd_autoencoder
  Enhancing Dynamic Mode Decomposition using Autoencoder Networks.
  ☆30Updated 4 years ago
• dynamicslab / dominant-balance
  Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
  ☆56Updated 4 years ago
• mathLab / EZyRB
  Easy Reduced Basis method
  ☆85Updated last week
• jain-shobhit / SSMTool
  Computation of invariant manifolds in high-dimensional mechanics problems
  ☆25Updated 9 months ago
• cwrowley / dmdtools
  A library of tools for computing variants of Dynamic Mode Decomposition
  ☆48Updated 8 years ago
• ASEM000 / Physics-informed-neural-network-in-JAX
  Example problems in Physics informed neural network in JAX
  ☆80Updated last year
• mathLab / ATHENA
  ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
  ☆53Updated 2 years ago
• dynamicslab / SINDy-PI
  SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
  ☆149Updated 3 years ago
• mathLab / PyDMD
  mathLab mirror of Python Dynamic Mode Decomposition
  ☆97Updated 4 months ago
• LivingMatterLab / xPINNs
  when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…
  ☆73Updated 2 years ago
• Willcox-Research-Group / rom-operator-inference-Python3
  Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
  ☆73Updated 3 weeks ago
• baddoo / LANDO
  Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
  ☆29Updated 3 years ago
• PredictiveIntelligenceLab / PINNsNTK
  ☆97Updated 3 years 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" …
  ☆32Updated 3 years ago
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆30Updated 2 years ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• panchgonzalez / nmor
  Deep learning framework for model reduction of dynamical systems
  ☆21Updated 4 years ago
• maziarraissi / MultistepNNs
  Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
  ☆63Updated 5 years ago
• matlab-deep-learning / SciML-and-Physics-Informed-Machine-Learning-Examples
  This repository collates a number of MATLAB examples demonstrating Scientific Machine Learning (SciML) and Physics Informed Machine Learn…
  ☆83Updated this week
• PML-UCF / pinn_ode_tutorial
  ☆128Updated 2 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…
  ☆32Updated last year
• rezaakb / pinns-jax
  PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.
  ☆49Updated 10 months ago
• weipengOO98 / PDPINN
  ☆15Updated 5 years ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆56Updated 3 years ago
• kylebeggs / POD-RBF
  Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network
  ☆67Updated last year
• mroberto166 / PinnsSub
  ☆68Updated last year