Python Dynamic Mode Decomposition

flowTorch - a Python library for analysis and reduced-order modeling of fluid flows

Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

Tensor Train Toolbox

Randomized Dimension Reduction Library

Modred main repository

AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.

This repository contains lecture notes and codes for the course "Computational Methods for Data Science"

Dynamic Mode Decomposition (DMD)

Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming options). Diffusion Maps to extract geometric description from data.

This repository contains all the work developed in the context of the Master Thesis dissertation entitled Model Predictive Control for Wake Steering: a Koopman Dynamic Mode Decomposition Approach. The repository includes all developed documentation (dissertation, extended abstract, poster and presentation) source code (MATLAB script and functions), datasets and results (animations, articles).

Python tools for non-intrusive reduced order modeling

a little library to help me with things involving Koopman operators

Constructing linearizing transformations for reduced-order modeling of nonlinear dynamical systems

Generic Linear Algebra Porting of PyDMD [Ongoing]

A repo for using different dynamic world modeling for prediction and control: including deep learning based koopman and State-Space Modes (SSM)

Implementation of Online DMD using NumPy

Dynamic Mode Decomposition (DMD)

This repository is dedicated to the studienarbeit project of "Numerical investigation of 2D transonic shock-buffet around a NACA 0012-34 airfoil using OpenFOAM and flowTorch" undertaken by Mr. Tushar Gholap under the guidance of Dr. Andre Weiner.

Neural Ordinary Differential Equations for model order reduction of time-dependent PDEs

A Python Implementation of Dynamic Mode Decomposition

A short introduction and implementation of the Dynamic Mode Decomposition with applications.

Code for the paper Bilinear Dynamic Mode Decomposition for Quantum Control

An Incremental Approach to Online Dynamic Mode Decomposition for Time-Varying Systems with Applications to EEG Data Modeling

Repository for the Star Log-extended eMulator package, used to solve the Tolman-Oppenheimer-Volkoff equations.

This repository stores my personal projects related to data science studies.

Non-intrusive Reduced Order Modeling package

Contains code and detailed write ups created while taking a class on Data Driven Modeling & Scientific Computation with Professor Nathan Kutz.

For research into the application of Koopman operators at Boston University.

Repository containing generic functions for the implementation of the EDMD algorithm for the approximation of the Koopman Operator.