ManshaP / KoopmanNets
project for my essay on how to use neural networks to linearise nonlinear dynamical systems
☆9Updated 4 years ago
Alternatives and similar repositories for KoopmanNets:
Users that are interested in KoopmanNets are comparing it to the libraries listed below
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆45Updated 4 years ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆38Updated 5 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition☆40Updated 3 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆31Updated last year
- Learning dynamical systems from data: Koopman☆15Updated 5 years ago
- ☆19Updated 5 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
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆88Updated 3 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆72Updated 10 months ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆22Updated 4 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆88Updated 4 years ago
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆21Updated last year
- Consistent Koopman Autoencoders☆71Updated last year
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- ☆70Updated 6 years ago
- Data-driven dynamical systems toolbox.☆73Updated last month
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆18Updated 2 years ago
- Model-based Control using Koopman Operators☆52Updated 4 years ago
- Use deep learning to learn Koopman operator and LQR for optimal control☆16Updated 4 years ago
- ☆14Updated 6 years ago
- A framework for neural network control of dynamical systems over graphs.☆58Updated 2 years ago
- Learning unknown ODE models with Gaussian processes☆26Updated 6 years ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆24Updated last year
- Pytorch Implementation of Deep Kalman Filter☆9Updated 2 years ago
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆38Updated 5 years ago
- ☆45Updated 4 years ago
- ☆15Updated 4 years ago
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- Enforcing robust control guarantees within neural network policies☆54Updated 3 years ago