Machine-Learning-Dynamical-Systems / kooplearnLinks
A Python package to learn the Koopman operator.
☆63Updated this week
Alternatives and similar repositories for kooplearn
Users that are interested in kooplearn are comparing it to the libraries listed below
Sorting:
- Data-driven dynamical systems toolbox.☆77Updated this week
- A general-purpose Python package for Koopman theory using deep learning.☆110Updated last month
- ☆28Updated 3 years ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆31Updated last year
- A framework for neural network control of dynamical systems over graphs.☆56Updated 3 years ago
- A package for computing data-driven approximations to the Koopman operator.☆387Updated 11 months ago
- neural networks to learn Koopman eigenfunctions☆437Updated last year
- ☆11Updated last year
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆21Updated 2 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆31Updated 3 years ago
- Consistent Koopman Autoencoders☆74Updated 2 years ago
- Learning Neural Differential Algebraic Equations via Operator Splitting☆20Updated 3 months ago
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆52Updated 3 years ago
- A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax☆49Updated 3 weeks ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆78Updated 3 years ago
- This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…☆21Updated 2 years ago
- Koopman operator identification library in Python, compatible with `scikit-learn`☆95Updated last month
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆79Updated last year
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆153Updated 4 years ago
- This gym provides implementations of various PDEs for easy testing and comparison of data-driven and classical PDE control algorithms.☆33Updated 3 months ago
- Python model for constrained GP☆26Updated 4 years ago
- Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes☆13Updated 3 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆59Updated 3 years ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆81Updated 3 months ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆48Updated last year
- Offline Contextual Bayesian Optimization☆14Updated 2 years ago
- ☆30Updated 7 months ago
- Learning unknown ODE models with Gaussian processes☆26Updated 7 years ago
- ☆89Updated 2 years ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆29Updated 4 months ago