A library for Koopman Neural Operator with Pytorch.

A general-purpose Python package for Koopman theory using deep learning.

Modred main repository

Koopman operator identification library in Python, compatible with `scikit-learn`

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

A Python package to learn the Koopman operator.

Model-based Control using Koopman Operators

Companion code for Closed-Loop Koopman Operator Approximation

a little library to help me with things involving Koopman operators

Code for "Dynamics Harmonics Analysis of Robotic Systems: Application in Data-Driven Koopman Modeling", enabling the modeling of symmetric dynamical systems with decomposed Koopman operators per each irrep type.

Companion code for System Norm Regularization Methods for Koopman Operator Approximation

Companion code for Uncertainty Modelling and Robust Observer Synthesis using the Koopman Operator

This repository provides code in R reproducing examples of the states space models presented in book "An Introduction to State Space Time Series Analysis" by J.J.F. Commandeur and S.J. Koopman.

Vector implementation of CRC algorithms based on Intel carry-less multiplication instruction.

Train AI to read your brain! 🤖➡️🧠

koopman operator examples

Code to run the Quanser QUBE-Servo using the HIL SDK

Welcome the repo for Ishana Koopman