asikist / nncLinks
A framework for neural network control of dynamical systems over graphs.
☆58Updated 2 years ago
Alternatives and similar repositories for nnc
Users that are interested in nnc are comparing it to the libraries listed below
Sorting:
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆48Updated 3 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆73Updated last year
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆45Updated 4 years ago
- Data-driven dynamical systems toolbox.☆74Updated 3 weeks ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆27Updated last year
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆40Updated 6 years ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆46Updated 3 years ago
- ☆45Updated 4 years ago
- ☆15Updated 4 years ago
- A Python package to learn the Koopman operator.☆57Updated 6 months ago
- ☆72Updated 7 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax☆34Updated 2 months ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 4 years ago
- A general-purpose Python package for Koopman theory using deep learning.☆104Updated 3 months ago
- Koopman operator identification library in Python, compatible with `scikit-learn`☆75Updated 3 weeks ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆53Updated last year
- Data-driven Koopman control theory applied to reinforcement learning!☆32Updated last year
- ☆29Updated 2 years ago
- Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms☆43Updated last year
- Model-based Control using Koopman Operators☆51Updated 4 years ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆90Updated 4 years ago
- Nonparametric Differential Equation Modeling☆53Updated last year
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆46Updated last year
- Koopman Reduced-Order Nonlinear Identification and Control☆90Updated 5 years ago
- Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248☆16Updated last year
- Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes☆12Updated 2 years ago
- ☆43Updated 3 years ago
- Consistent Koopman Autoencoders☆74Updated 2 years ago