GaloisInc / dlkoopman
A general-purpose Python package for Koopman theory using deep learning.
☆96Updated last month
Alternatives and similar repositories for dlkoopman:
Users that are interested in dlkoopman are comparing it to the libraries listed below
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆69Updated 10 months ago
- A package for computing data-driven approximations to the Koopman operator.☆340Updated 4 months ago
- Koopman operator identification library in Python, compatible with `scikit-learn`☆68Updated 3 months ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆141Updated 3 years ago
- ☆41Updated 3 years ago
- Data-driven dynamical systems toolbox.☆73Updated 3 weeks ago
- Koopman Reduced-Order Nonlinear Identification and Control☆87Updated 4 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 years ago
- mathLab mirror of Python Dynamic Mode Decomposition☆83Updated last week
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆48Updated last month
- A Python package to learn the Koopman operator.☆53Updated 3 months ago
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆46Updated 3 years ago
- neural networks to learn Koopman eigenfunctions☆397Updated 11 months ago
- ☆19Updated 3 years ago
- Consistent Koopman Autoencoders☆71Updated last year
- ☆41Updated 7 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆28Updated 3 years ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆64Updated 2 months ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆45Updated 4 years ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆75Updated 2 years ago
- ☆83Updated 2 years ago
- Accompanying code for "State Estimation of a Physical System without Governing Equations"☆85Updated 7 months ago
- Discovers high dimensional models from 1D data using deep delay autoencoders☆32Updated 2 years ago
- ☆15Updated 4 years ago
- ☆66Updated 6 years ago
- Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.☆111Updated last month
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆96Updated last year
- PySINDy GUI☆37Updated last year
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆24Updated last year
- ☆28Updated 2 years ago