mathLab mirror of Python Dynamic Mode Decomposition
☆127Mar 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:
- Koopman operator identification library in Python, compatible with `scikit-learn`☆107Sep 22, 2025Updated 10 months ago
- General purpose code and examples for the mpEDMD algorithm.☆16Nov 16, 2023Updated 2 years ago
- Python Dynamic Mode Decomposition☆1,245Dec 19, 2025Updated 7 months ago
- ☆20Feb 11, 2025Updated last year
- TurbGen - Turbulence driving and initial conditions generator.☆19Jun 8, 2026Updated 2 months 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.
- deepkoopman的实现☆14Dec 6, 2022Updated 3 years ago
- PySINDy GUI☆48Apr 15, 2023Updated 3 years ago
- Learning Koopman operator by EDMD with trainable dictionary☆28Jun 25, 2026Updated last month
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆170Oct 28, 2025Updated 9 months ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆50Jul 11, 2017Updated 9 years ago
- ☆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 2 months ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆46May 28, 2019Updated 7 years ago
- ☆29Jul 19, 2024Updated 2 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.
- Repository for xL-SINDy, a robust algorithm to extract Lagrangian of nonlinear dynamical systems from noisy measurement data.☆13Aug 8, 2022Updated 4 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆84May 7, 2024Updated 2 years ago
- Reduced order modelling techniques for OpenFOAM☆212Jul 13, 2026Updated 3 weeks ago
- PyTorch Implementation of Lusch et al DeepKoopman☆18Jan 5, 2023Updated 3 years ago
- Conservative Overset Algorithms with OpenFOAM☆11Nov 5, 2021Updated 4 years ago
- A package for the sparse identification of nonlinear dynamical systems from data☆1,885Jun 10, 2026Updated 2 months ago
- ☆32Oct 23, 2022Updated 3 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆52Nov 15, 2020Updated 5 years ago
- A Python package for working with OpenFOAM.☆16Oct 2, 2024Updated last year
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- A general-purpose Python package for Koopman theory using deep learning.☆118Sep 24, 2025Updated 10 months ago
- Python Loop Replacement with NumPy and PyTorch - Fancy Slicing, UFuncs and equivalent, Aggregations, Sorting and more☆16Sep 24, 2024Updated last year
- Multifactor Sequential Disentanglement via Structured Koopman Autoencoders☆21Dec 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 4 years ago
- Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation☆881Jun 26, 2026Updated last month
- Sparsity-Promoting Dynamic Mode Decomposition with Control☆10Jul 6, 2023Updated 3 years ago
- ☆83May 3, 2018Updated 8 years ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆173Aug 3, 2021Updated 5 years ago
- Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming opti…☆32Sep 12, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Koopman operator☆29Jan 28, 2020Updated 6 years ago
- MATLAB packages accompanying the review article "The Multiverse of Dynamic Mode Decomposition Algorithms"☆22May 1, 2024Updated 2 years ago
- Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …☆38Apr 25, 2026Updated 3 months ago
- Dynamic mode decomposition with dependent structure among observables (Graph DMD)☆13Dec 17, 2019Updated 6 years ago
- PowerDEVS is an integrated tool for hybrid systems modeling and simulation based on the DEVS formalism.☆12Mar 20, 2021Updated 5 years ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆94Apr 5, 2021Updated 5 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆78Jan 2, 2026Updated 7 months ago