decargroup / pykoopLinks
Koopman operator identification library in Python, compatible with `scikit-learn`
☆84Updated 2 months ago
Alternatives and similar repositories for pykoop
Users that are interested in pykoop are comparing it to the libraries listed below
Sorting:
- Data-driven dynamical systems toolbox.☆75Updated last month
- A general-purpose Python package for Koopman theory using deep learning.☆108Updated 7 months ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆78Updated last year
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆63Updated 4 months ago
- "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga☆47Updated last year
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago
- ☆88Updated 2 years ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆61Updated 5 months ago
- Koopman Reduced-Order Nonlinear Identification and Control☆90Updated 5 years ago
- A package for computing data-driven approximations to the Koopman operator.☆376Updated 10 months ago
- ☆45Updated 4 years ago
- A Python package to learn the Koopman operator.☆61Updated 9 months ago
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆31Updated 2 years ago
- ☆29Updated 2 years ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆30Updated last year
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax☆45Updated 3 months ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆76Updated 3 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆48Updated 4 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆27Updated 3 years ago
- ☆283Updated 5 years ago
- Accompanying code for "State Estimation of a Physical System without Governing Equations"☆89Updated last year
- ☆15Updated 4 years ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆47Updated 3 years ago
- PySINDy GUI☆40Updated 2 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆96Updated 3 years ago
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆51Updated 3 years ago
- Consistent Koopman Autoencoders☆74Updated 2 years ago
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆27Updated 2 years ago