TUM-ITR / koopcoreLinks
Koopman Kernels for Learning Dynamical Systems from Trajectory Data
☆31Updated 2 years ago
Alternatives and similar repositories for koopcore
Users that are interested in koopcore are comparing it to the libraries listed below
Sorting:
- A framework for neural network control of dynamical systems over graphs.☆56Updated 3 years ago
- A Python package to learn the Koopman operator.☆65Updated this week
- ☆28Updated 3 years ago
- Data-driven dynamical systems toolbox.☆78Updated 2 months ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆93Updated 4 years ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆47Updated 4 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆50Updated 5 years ago
- Learning Neural Differential Algebraic Equations via Operator Splitting☆21Updated 5 months ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 5 years ago
- ☆46Updated 5 years ago
- ☆45Updated 2 years ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆48Updated 2 years ago
- Learning unknown ODE models with Gaussian processes☆27Updated 7 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆82Updated last year
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆53Updated 4 years ago
- ☆89Updated 2 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆27Updated 3 years ago
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆10Updated 2 years ago
- ☆15Updated 5 years ago
- By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …☆37Updated 2 years ago
- Koopman operator identification library in Python, compatible with `scikit-learn`☆101Updated 3 months ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆20Updated 3 years ago
- A general-purpose Python package for Koopman theory using deep learning.☆116Updated 3 months ago
- Uncertainty sets for nonlinear dynamical systems☆10Updated 5 years ago
- ☆45Updated 4 years ago
- Nonparametric Differential Equation Modeling☆56Updated last year
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆43Updated 6 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
- ☆23Updated 2 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆60Updated 3 years ago