Alternatives and similar repositories for variational_koopman

Users that are interested in variational_koopman are comparing it to the libraries listed below

• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆50Updated 5 years ago
• YunzhuLi / CompositionalKoopmanOperators
  [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control
  ☆93Updated 4 years ago
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆100Updated 3 years ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆56Updated 3 years ago
• chennnnnyize-zz / Optimal-Control-via-Neural-Networks
  Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach
  ☆84Updated 6 years ago
• LeeLinJun / KoopmanControl
  ☆20Updated 5 years ago
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆33Updated 6 years ago
• tony23545 / DeepKoopman
  Use deep learning to learn Koopman operator and LQR for optimal control
  ☆16Updated 5 years ago
• Pdbz199 / Koopman-RL-Old
  Data-driven Koopman control theory applied to reinforcement learning!
  ☆34Updated 2 years ago
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆75Updated 2 years ago
• MilanKorda / KoopmanMPC
  ☆79Updated 7 years ago
• Cafolkes / keedmd
  Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…
  ☆29Updated 3 years ago
• wuwushrek / physics_constrained_nn
  Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
  ☆53Updated 4 years ago
• samholt / NeuralLaplaceControl
  Neural Laplace Control for Continuous-time Delayed Systems - an offline RL method combining Neural Laplace dynamics model and MPC planner…
  ☆14Updated 2 years ago
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆57Updated 5 years ago
• morim3 / DeepKalmanFilter
  Pytorch Implementation of Deep Kalman Filter
  ☆11Updated 2 months ago
• SimonRennotte / Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
  Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…
  ☆146Updated 2 years ago
• EthanJamesLew / AutoKoopman
  AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
  ☆82Updated last year
• mlpotter / DeepKoopmanLusch
  PyTorch Implementation of Lusch et al DeepKoopman
  ☆15Updated 2 years ago
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 5 years ago
• d-biswa / Symplectic-ODENet
  ☆15Updated 5 years ago
• Physics-aware-AI / Symplectic-ODENet
  ☆46Updated 5 years ago
• vmartinezalvarez / DyNODE
  DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
  ☆23Updated 5 years ago
• aravindsrinivas / neural-mpc
  ☆73Updated 5 years ago
• haozhg / oml
  AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
  ☆33Updated 3 years ago
• YaChienChang / Neural-Lyapunov-Control
  Learning Lyapunov functions and control policies of nonlinear dynamical systems
  ☆139Updated 4 years ago
• DesmondZhong / Lagrangian_caVAE
  Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"
  ☆20Updated 3 years ago
• donken / NeuralOC
  A Neural Network Approach for Real-Time High-Dimensional Optimal Control
  ☆27Updated 3 years ago
• Cafolkes / koopman_learning_and_control
  Repository for Koopman based learning and nonlinear control
  ☆51Updated 3 years ago
• arbabiha / KoopmanMPC_for_flowcontrol
  A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control
  ☆157Updated 5 years ago