Learning Koopman operator by EDMD with trainable dictionary
☆28Jul 8, 2022Updated 3 years ago
Alternatives and similar repositories for KoopmanDL
Users that are interested in KoopmanDL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Learning dynamical systems from data: Koopman☆19Feb 3, 2020Updated 6 years ago
- General purpose code and examples for the mpEDMD algorithm.☆16Nov 16, 2023Updated 2 years ago
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆31Dec 8, 2022Updated 3 years ago
- Sparsity-Promoting Dynamic Mode Decomposition with Control☆10Jul 6, 2023Updated 2 years ago
- ☆81May 3, 2018Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆52Nov 15, 2020Updated 5 years ago
- Code for reviewers☆12Oct 8, 2024Updated last year
- Official Code Repository for the paper "Key-value memory in the brain"☆32Feb 25, 2025Updated last year
- ☆23Mar 23, 2020Updated 6 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆20Sep 4, 2023Updated 2 years ago
- Model-based Control using Koopman Operators☆57Jun 13, 2020Updated 5 years ago
- neural networks to learn Koopman eigenfunctions☆481Mar 22, 2024Updated 2 years ago
- A library for Koopman Neural Operator with Pytorch.☆328Oct 5, 2024Updated last year
- ☆21Nov 26, 2020Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆26Mar 14, 2024Updated 2 years ago
- Confidence Estimates with KalmanNet☆12Oct 6, 2021Updated 4 years ago
- Develop a Koopman operator based MPC for controlling a quadrotor☆82Sep 3, 2025Updated 8 months ago
- A package for computing data-driven approximations to the Koopman operator.☆428Jan 22, 2026Updated 4 months ago
- G2ELin is an open-access power system linearization tool developed by Fadi Kelada, a PhD candidate at University of Grenoble Alpes and Gr…☆17Aug 19, 2024Updated last year
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆83May 7, 2024Updated 2 years ago
- ☆11Jun 4, 2024Updated last year
- Neural Koopman Lyapunov Control☆28May 5, 2023Updated 3 years ago
- Code needed to reproduce the examples found in the various works published on Distributed and Localized Model Predictive Control via Syst…☆54May 18, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- mathLab mirror of Python Dynamic Mode Decomposition☆121Mar 6, 2025Updated last year
- ☆11Jan 14, 2017Updated 9 years ago
- J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…☆85Dec 6, 2023Updated 2 years ago
- Matlab code for Y. Yuan, et. al. Machine Discovery of Partial Differential Equations from Spatiotemporal Data☆15Sep 29, 2018Updated 7 years ago
- Scripts for Lectures on Network Systems - Francesco Bullo☆16Oct 22, 2023Updated 2 years ago
- ☆12Sep 18, 2025Updated 8 months ago
- Reduced-order Variational Mode Decomposition (RVMD)☆32Mar 7, 2026Updated 2 months ago
- Special-purpose numerical integrators for spacecraft attitude dynamics☆13Feb 4, 2016Updated 10 years ago
- Soure code for Deep Koopman with Control☆111Jun 19, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Claude, Codex, Gemini 协作驱动的 Claude-Team!☆88Mar 28, 2026Updated last month
- ☆17May 31, 2024Updated last year
- Repository for the paper "Interpreting Temporal Graph Neural Networks with Koopman Theory"☆12Apr 7, 2026Updated last month
- Code for CDC2022 submission☆11Sep 1, 2025Updated 8 months ago
- Hierarchical reinforcement learning framework which uses a directed graph to define the hierarchy.☆16Aug 5, 2022Updated 3 years ago
- ☆10May 23, 2022Updated 4 years ago
- Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C…☆84Mar 4, 2020Updated 6 years ago