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)
  ☆160Updated last year
• opaliss / dmd_autoencoder
  Enhancing Dynamic Mode Decomposition using Autoencoder Networks.
  ☆33Updated 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…
  ☆78Updated 3 years ago
• haller-group / SSMLearn
  Data-driven reduced order modeling for nonlinear dynamical systems
  ☆90Updated 4 months ago
• baddoo / LANDO
  Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
  ☆31Updated 3 years ago
• dynamicslab / SINDy-PI
  SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
  ☆153Updated 4 years ago
• Willcox-Research-Group / rom-operator-inference-Python3
  Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
  ☆75Updated this week
• cwrowley / dmdtools
  A library of tools for computing variants of Dynamic Mode Decomposition
  ☆49Updated 8 years ago
• Crunch-UQ4MI / neuraluq
  ☆194Updated 6 months ago
• PML-UCF / pinn_ode_tutorial
  ☆131Updated 3 years ago
• mathLab / EZyRB
  Easy Reduced Basis method
  ☆88Updated last month
• dynamicslab / dominant-balance
  Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
  ☆59Updated 4 years ago
• benmoseley / DLSC-2023
  ETH Zürich Deep Learning in Scientific Computing Master's course 2023
  ☆118Updated last year
• haozhg / odmd
  AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
  ☆44Updated 3 years ago
• jkneifl / VENI-VINDy-VICI
  An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification
  ☆35Updated 7 months ago
• PredictiveIntelligenceLab / PINNsNTK
  ☆99Updated 4 years ago
• dynamicslab / pykoopman
  A package for computing data-driven approximations to the Koopman operator.
  ☆387Updated 11 months ago
• mia-jinns / jinns
  Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs + Adaptative Loss Weights with JAX 📓 Check out our various notebooks to g…
  ☆39Updated this week
• janblechschmidt / PDEsByNNs
  This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…
  ☆178Updated 4 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
• pranshupant / DL-ROM
  Deep Learning for Reduced Order Modelling
  ☆100Updated 3 years ago
• snagcliffs / PDE-FIND
  ☆264Updated 2 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
• rmojgani / LPINNs
  To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…
  ☆50Updated 2 years ago
• nn4pde / SPINN
  Sparse Physics-based and Interpretable Neural Networks
  ☆52Updated 4 years ago
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆154Updated 2 years ago
• maziarraissi / HPM
  Hidden physics models: Machine learning of nonlinear partial differential equations
  ☆147Updated 5 years ago
• ASEM000 / Physics-informed-neural-network-in-JAX
  Example problems in Physics informed neural network in JAX
  ☆81Updated 2 years ago
• PhIMaL / DeePyMoD
  ☆49Updated last year
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆105Updated this week