Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
☆37Jan 7, 2022Updated 4 years ago
Alternatives and similar repositories for learning-kis
Users that are interested in learning-kis are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Computing the discrete spectrum of the Koopman operator using Dynamic Mode Decomposition☆10Apr 4, 2020Updated 6 years ago
- neural networks to learn Koopman eigenfunctions☆495Mar 22, 2024Updated 2 years ago
- Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"☆15Oct 10, 2023Updated 3 years ago
- Koopman Mode Decomposition☆78Jul 19, 2017Updated 9 years ago
- ☆11Jan 23, 2017Updated 9 years ago
- 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.
- Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018☆48Dec 3, 2018Updated 7 years ago
- A package for computing data-driven approximations to the Koopman operator.☆462Updated this week
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Dec 2, 2019Updated 6 years ago
- Repository for Koopman based learning and nonlinear control☆54Dec 8, 2022Updated 3 years ago
- Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf☆19May 3, 2025Updated last year
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆86May 7, 2024Updated 2 years ago
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆23Apr 7, 2023Updated 3 years ago
- Isomap in Python☆10Mar 1, 2013Updated 13 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆164Jun 10, 2020Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Learn sparse representations of the Koopman operator in POD basis in kernel feature space☆10Jun 9, 2017Updated 9 years ago
- This is all the codes used in "Large Scale Online Kernel Learning"☆11Aug 8, 2017Updated 9 years ago
- Reinforcement Learning for Autonomous Helicopter Control☆11Aug 8, 2014Updated 12 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆54Nov 15, 2020Updated 5 years ago
- Deep learning assisted dynamic mode decomposition☆19Oct 5, 2021Updated 5 years ago
- Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data☆41Dec 28, 2018Updated 7 years ago
- A general-purpose Python package for Koopman theory using deep learning.☆121Sep 24, 2025Updated last year
- Python package GNP (graph neural preconditioners)☆27Feb 4, 2025Updated last year
- POD-PINN code and manuscript☆62Nov 10, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆47Oct 23, 2022Updated 4 years ago
- A library for Koopman Neural Operator with Pytorch.☆334Oct 5, 2024Updated 2 years ago
- Learning dynamical systems from data: Koopman☆19Feb 3, 2020Updated 6 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Jul 22, 2020Updated 6 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆29Aug 8, 2018Updated 8 years ago
- FAIR Convolutional Sequence to Sequence Learning implemented with Pytorch☆10May 5, 2018Updated 8 years ago
- Learning Koopman operator by EDMD with trainable dictionary☆32Jun 25, 2026Updated 4 months ago
- Distributed Aberration Correction Techniques Based on Tomographic Sound Speed Estimates☆13Dec 25, 2025Updated 10 months ago
- ☆18May 25, 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.
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Oct 17, 2016Updated 10 years ago
- A modular deep reinforcement learning framework that supports a variety of algorithms, environments and models.☆24May 9, 2020Updated 6 years ago
- All the code needed to learn models from data using Koopman operator approach.☆13Apr 18, 2019Updated 7 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37May 30, 2017Updated 9 years ago
- Pytorch implementation of Count-ception and custom CNN counting models for Kaggle Sea Lion Count challenge☆11Jun 30, 2017Updated 9 years ago
- Code for recreating the results of our RSS 2020 paper, 'Learning Memory-Based Control for Human-Scale Bipedal Locomotion.'☆10Aug 18, 2022Updated 4 years ago
- Parse asf/amc files in Python.☆12Nov 9, 2016Updated 10 years ago
Are these results useful?