erichson / koopmanAELinks
Consistent Koopman Autoencoders
☆74Updated 2 years ago
Alternatives and similar repositories for koopmanAE
Users that are interested in koopmanAE are comparing it to the libraries listed below
Sorting:
- Linear and non-linear spectral forecasting algorithms☆138Updated 4 years ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆42Updated 6 years ago
- PyTorch Implementation of Lusch et al DeepKoopman☆14Updated 2 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆96Updated 3 years ago
- Deep learning assisted dynamic mode decomposition☆20Updated 3 years ago
- A Python package to learn the Koopman operator.☆61Updated 10 months ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆47Updated last year
- neural networks to learn Koopman eigenfunctions☆428Updated last year
- Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series☆118Updated 2 years ago
- ☆88Updated 2 years ago
- Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition☆40Updated 3 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆48Updated 4 years ago
- A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.☆45Updated last year
- A general-purpose Python package for Koopman theory using deep learning.☆108Updated 7 months ago
- ☆47Updated 4 years ago
- ☆41Updated 7 years ago
- A library for Koopman Neural Operator with Pytorch.☆302Updated 11 months ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆78Updated last year
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆52Updated 3 years ago
- ☆36Updated 7 years ago
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆90Updated 4 years ago
- Koopman operator identification library in Python, compatible with `scikit-learn`☆84Updated 2 months ago
- Code for Rice et al. 2020 "Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forcea…☆36Updated last week
- Data-driven dynamical systems toolbox.☆75Updated last month
- Discovers high dimensional models from 1D data using deep delay autoencoders☆37Updated 2 years ago
- ☆29Updated 2 years ago
- A package for computing data-driven approximations to the Koopman operator.☆376Updated 10 months ago
- Mixture density network implemented in PyTorch.☆150Updated 2 years ago
- Code and files related to random side projects☆21Updated 3 years ago