mathLab mirror of Python Dynamic Mode Decomposition
☆121Mar 6, 2025Updated last year
Alternatives and similar repositories for PyDMD
Users that are interested in PyDMD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A package for computing data-driven approximations to the Koopman operator.☆428Jan 22, 2026Updated 4 months ago
- Python Dynamic Mode Decomposition☆1,226Dec 19, 2025Updated 5 months ago
- Implementation of N4SID, Kalman filtering and state-space models☆28Jul 24, 2025Updated 9 months ago
- Learning Koopman operator by EDMD with trainable dictionary☆28Jul 8, 2022Updated 3 years ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆88Aug 15, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆168Oct 28, 2025Updated 6 months ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆50Jul 11, 2017Updated 8 years ago
- ☆15Jan 16, 2023Updated 3 years ago
- Koopman operator identification library in Python, compatible with `scikit-learn`☆106Sep 22, 2025Updated 8 months ago
- ☆19Feb 11, 2025Updated last year
- ☆11Dec 7, 2021Updated 4 years ago
- Data-driven model reduction library with an emphasis on large scale parallelism and linear subspace methods☆235May 14, 2026Updated last week
- ☆11Jun 4, 2024Updated last year
- Repository for xL-SINDy, a robust algorithm to extract Lagrangian of nonlinear dynamical systems from noisy measurement data.☆13Aug 8, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆45May 28, 2019Updated 6 years ago
- A library for Koopman Neural Operator with Pytorch.☆328Oct 5, 2024Updated last year
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆83May 7, 2024Updated 2 years ago
- Reduced order modelling techniques for OpenFOAM☆211Apr 21, 2026Updated last month
- Parallel Adaptive Simplical Remeshing for OpenFOAM☆40May 23, 2015Updated 11 years ago
- Multifactor Sequential Disentanglement via Structured Koopman Autoencoders☆20Dec 2, 2024Updated last year
- PyTorch Implementation of Lusch et al DeepKoopman☆18Jan 5, 2023Updated 3 years ago
- MATLAB packages accompanying the review article "The Multiverse of Dynamic Mode Decomposition Algorithms"☆21May 1, 2024Updated 2 years ago
- A package for the sparse identification of nonlinear dynamical systems from data☆1,835Mar 24, 2026Updated last month
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆31Oct 23, 2022Updated 3 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆52Nov 15, 2020Updated 5 years ago
- Python Loop Replacement with NumPy and PyTorch - Fancy Slicing, UFuncs and equivalent, Aggregations, Sorting and more☆16Sep 24, 2024Updated last year
- A general-purpose Python package for Koopman theory using deep learning.☆118Sep 24, 2025Updated 7 months ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆167Feb 21, 2024Updated 2 years ago
- A Python package for working with OpenFOAM.☆15Oct 2, 2024Updated last year
- This repository contains all the work developed in the context of the Master Thesis dissertation entitled Model Predictive Control for Wa…☆23Jul 17, 2022Updated 3 years ago
- Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation☆859Mar 30, 2026Updated last month
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆167Aug 3, 2021Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆36Apr 8, 2021Updated 5 years ago
- Sparsity-Promoting Dynamic Mode Decomposition with Control☆10Jul 6, 2023Updated 2 years ago
- GNNs to predict wind farm-wide power, local flow variables and damage-equivalent loads.☆27Jul 7, 2025Updated 10 months ago
- Neural Emulator Architectures in JAX.☆24May 11, 2026Updated last week
- Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming opti…☆31Sep 12, 2024Updated last year
- Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …☆37Apr 25, 2026Updated 3 weeks ago
- Koopman operator☆29Jan 28, 2020Updated 6 years ago