d-biswa / Symplectic-ODENetLinks
☆15Updated 4 years ago
Alternatives and similar repositories for Symplectic-ODENet
Users that are interested in Symplectic-ODENet are comparing it to the libraries listed below
Sorting:
- A framework for neural network control of dynamical systems over graphs.☆56Updated 3 years ago
- ☆28Updated 2 years ago
- A general-purpose Python package for Koopman theory using deep learning.☆108Updated 2 weeks ago
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆52Updated 3 years ago
- This gym provides implementations of various PDEs for easy testing and comparison of data-driven and classical PDE control algorithms.☆32Updated 3 months ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆47Updated last year
- A Python package to learn the Koopman operator.☆61Updated this week
- ☆47Updated 4 years ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆31Updated last year
- ☆89Updated 2 years ago
- Koopman operator identification library in Python, compatible with `scikit-learn`☆84Updated 2 weeks ago
- Consistent Koopman Autoencoders☆74Updated 2 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆27Updated 3 years ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆47Updated 3 years ago
- Training neural networks to disentangle conservative and dissipative dynamics☆10Updated 3 years ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆42Updated 6 years ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆90Updated 4 years ago
- Data-driven dynamical systems toolbox.☆76Updated 2 months ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆48Updated 4 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆78Updated last year
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆29Updated 4 months ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆79Updated 2 months ago
- Learning Koopman operator by EDMD with trainable dictionary☆26Updated 3 years ago
- Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.☆134Updated 3 weeks ago
- A package for computing data-driven approximations to the Koopman operator.☆378Updated 11 months ago
- neural networks to learn Koopman eigenfunctions☆430Updated last year
- Learning Neural Differential Algebraic Equations via Operator Splitting☆19Updated 2 months ago
- ☆43Updated 2 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆91Updated 5 years ago