Alternatives and similar repositories for PyDMD

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

• baddoo / piDMD
  MATLAB codes for physics-informed dynamic mode decomposition (piDMD)
  ☆158Updated last year
• opaliss / dmd_autoencoder
  Enhancing Dynamic Mode Decomposition using Autoencoder Networks.
  ☆30Updated 4 years ago
• baddoo / LANDO
  Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
  ☆29Updated 3 years ago
• dynamicslab / SINDy-PI
  SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
  ☆152Updated 4 years ago
• LivingMatterLab / xPINNs
  when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…
  ☆75Updated 3 years ago
• haller-group / SSMLearn
  Data-driven reduced order modeling for nonlinear dynamical systems
  ☆86Updated 3 months ago
• Crunch-UQ4MI / neuraluq
  ☆189Updated 5 months ago
• mathLab / EZyRB
  Easy Reduced Basis method
  ☆87Updated 2 weeks ago
• dynamicslab / pykoopman
  A package for computing data-driven approximations to the Koopman operator.
  ☆376Updated 10 months ago
• snagcliffs / PDE-FIND
  ☆259Updated 2 years ago
• PML-UCF / pinn_ode_tutorial
  ☆130Updated 3 years ago
• benmoseley / DLSC-2023
  ETH Zürich Deep Learning in Scientific Computing Master's course 2023
  ☆116Updated last year
• dynamicslab / dominant-balance
  Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
  ☆57Updated 4 years ago
• Willcox-Research-Group / rom-operator-inference-Python3
  Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
  ☆74Updated 2 months ago
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆150Updated 2 years ago
• jkneifl / VENI-VINDy-VICI
  An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification
  ☆34Updated 6 months ago
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆93Updated 3 weeks ago
• cwrowley / dmdtools
  A library of tools for computing variants of Dynamic Mode Decomposition
  ☆48Updated 8 years ago
• janblechschmidt / PDEsByNNs
  This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…
  ☆178Updated 4 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 2 years ago
• haozhg / odmd
  AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
  ☆44Updated 2 years ago
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆49Updated 5 years ago
• JayLago / DLDMD
  Deep learning assisted dynamic mode decomposition
  ☆20Updated 3 years ago
• rmojgani / LPINNs
  To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…
  ☆49Updated 2 years ago
• LLNL / GPLaSDI
  Gaussian process-based interpretable latent space dynamics identification through deep autoencoder
  ☆35Updated last week
• benmoseley / harmonic-oscillator-pinn-workshop
  Introductory workshop on PINNs using the harmonic oscillator
  ☆128Updated 4 months ago
• Koopman-Laboratory / KoopmanLab
  A library for Koopman Neural Operator with Pytorch.
  ☆302Updated 11 months ago
• eigensteve / pysindy
  A package for the sparse identification of nonlinear dynamical systems from data
  ☆11Updated 5 years ago
• geelenr / quad_manifold
  Supporting codes for the numerical implementations in the paper "Operator inference for non-intrusive model reduction with quadratic mani…
  ☆11Updated 3 years ago
• raj-brown / APMA2070
  ☆50Updated 2 years ago