Alternatives and similar repositories for DeepKoopmanLusch

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

• sisl / variational_koopman
  Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…
  ☆41Updated 6 years ago
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆74Updated 2 years ago
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆47Updated 4 years ago
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆96Updated 3 years ago
• EthanJamesLew / AutoKoopman
  AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
  ☆78Updated last year
• Jianxun-Wang / PIMBRL
  Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control
  ☆57Updated 3 years ago
• JayLago / DLDMD
  Deep learning assisted dynamic mode decomposition
  ☆20Updated 3 years ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆57Updated 2 years ago
• Pdbz199 / Koopman-RL-Old
  Data-driven Koopman control theory applied to reinforcement learning!
  ☆33Updated 2 years ago
• mengcz13 / IJCAI2022_ST-KMRN
  Official implementation of "Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data".
  ☆10Updated 2 years ago
• GaloisInc / dlkoopman
  A general-purpose Python package for Koopman theory using deep learning.
  ☆106Updated 6 months ago
• wuwushrek / physics_constrained_nn
  Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
  ☆51Updated 3 years ago
• yriyazi / Koopman-Operator-and-Deep-Neural-Networks-ISAV2023
  In this work, we present a novel approach that combines the power of Koopman operators and deep neural networks to generate a linear rep…
  ☆10Updated last year
• d-biswa / Symplectic-ODENet
  ☆15Updated 4 years ago
• MLDS-NUS / KoopmanDL
  Learning Koopman operator by EDMD with trainable dictionary
  ☆26Updated 3 years ago
• LSY-Cython / DiffCharge
  ☆26Updated last year
• BethanyL / DeepKoopman
  neural networks to learn Koopman eigenfunctions
  ☆422Updated last year
• yongkyung-oh / Stable-Neural-SDEs
  [ICLR2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
  ☆47Updated last week
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆33Updated 5 years ago
• Koopman-Laboratory / KoopmanLab
  A library for Koopman Neural Operator with Pytorch.
  ☆302Updated 10 months ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆61Updated 9 months ago
• azencot-group / SKD
  Multifactor Sequential Disentanglement via Structured Koopman Autoencoders
  ☆18Updated 8 months ago
• HildoBijl / GPRT
  Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.
  ☆72Updated 8 years ago
• JRice15 / physics-informed-autoencoders
  Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid …
  ☆36Updated 2 years ago
• azencot-group / KoVAE
  Koopman VAE (KoVAE), a new generative framework that is based on a novel design for the model prior.
  ☆25Updated 5 months ago
• dynamicslab / pykoopman
  A package for computing data-driven approximations to the Koopman operator.
  ☆374Updated 9 months ago
• LeeLinJun / KoopmanControl
  ☆20Updated 5 years ago
• clegaard / deep_learning_for_dynamical_systems
  ☆88Updated 2 years ago
• samholt / NeuralLaplaceControl
  Neural Laplace Control for Continuous-time Delayed Systems - an offline RL method combining Neural Laplace dynamics model and MPC planner…
  ☆12Updated 2 years ago
• ae-foster / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆12Updated 5 years ago