dgedon / DeepSSM_SysID

Related projects ⓘ

Alternatives and complementary repositories for DeepSSM_SysID

• sisl / variational_koopman
  Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…
  ☆37Updated 5 years ago
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆65Updated last year
• morim3 / DeepKalmanFilter
  Pytorch Implementation of Deep Kalman Filter
  ☆8Updated last year
• sorooshafiee / WKF
  ☆14Updated 6 years ago
• LCAS / RKN
  ☆47Updated 2 years ago
• YunzhuLi / CompositionalKoopmanOperators
  [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control
  ☆84Updated 3 years ago
• Bigpig4396 / Incremental-Gaussian-Process-Regression-IGPR
  ☆15Updated 3 years ago
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆32Updated 4 years ago
• DanieleGammelli / DeepKalmanFilter
  Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction
  ☆42Updated 4 years ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆55Updated 2 years ago
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆42Updated 4 years ago
• cagatayyildiz / oderl
  Experiment code for "Continuous-Time Model-Based Reinforcement Learning"
  ☆47Updated 11 months ago
• clegaard / deep_learning_for_dynamical_systems
  ☆79Updated last year
• ManshaP / KoopmanNets
  project for my essay on how to use neural networks to linearise nonlinear dynamical systems
  ☆9Updated 4 years ago
• liouvill / NeuralEKF
  Neural Extended Kalman Filters
  ☆11Updated last year
• Yusufma03 / pfrnns
  Particle Filter Recurrent Neural Networks (AAAI 2020)
  ☆75Updated 3 months ago
• TUM-ITR / koopcore
  Koopman Kernels for Learning Dynamical Systems from Trajectory Data
  ☆22Updated 11 months ago
• vmartinezalvarez / DyNODE
  DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
  ☆22Updated 4 years ago
• forgi86 / pytorch-ident
  System identification in PyTorch
  ☆23Updated last year
• EthanJamesLew / AutoKoopman
  AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
  ☆58Updated 6 months ago
• wuwushrek / physics_constrained_nn
  Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
  ☆41Updated 3 years ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆47Updated last month
• helange23 / from_fourier_to_koopman
  Linear and non-linear spectral forecasting algorithms
  ☆133Updated 3 years ago
• antonior92 / sysid-neuralnet
  Deep neural networks for system identification problems. (WIP)
  ☆11Updated 5 years ago
• GalaxyFox / DS-GA-3001-Deep_Kalman_Filter
  This is a re-implementation and test on paper Deep Kalman Filter: https://arxiv.org/pdf/1511.05121.pdf
  ☆16Updated 4 years ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆30Updated last year
• Physics-aware-AI / Symplectic-ODENet
  ☆42Updated 3 years ago
• haozhg / oml
  AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
  ☆29Updated 2 years ago
• mlech26l / ode-lstms
  Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series
  ☆111Updated last year
• GaloisInc / dlkoopman
  A general-purpose Python package for Koopman theory using deep learning.
  ☆84Updated last year