Alternatives and similar repositories for NeuralEKF:

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

• morim3 / DeepKalmanFilter
  Pytorch Implementation of Deep Kalman Filter
  ☆9Updated 2 years ago
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆91Updated 3 years ago
• antonior92 / sysid-neuralnet
  Deep neural networks for system identification problems. (WIP)
  ☆11Updated 5 years ago
• jnez71 / kalmaNN
  Extended Kalman filter for training neural-networks
  ☆90Updated 4 years ago
• ContiPaolo / EKF-SINDy
  Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)
  ☆49Updated 2 weeks ago
• Alro10 / MOESP-and-N4SID
  Subspace methods for MIMO system identification
  ☆63Updated 5 years ago
• haozhg / oml
  AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
  ☆30Updated 2 years ago
• coursekevin / svise
  Accompanying code for "State Estimation of a Physical System without Governing Equations"
  ☆86Updated 9 months ago
• decargroup / pykoop
  Koopman operator identification library in Python, compatible with `scikit-learn`
  ☆73Updated 5 months ago
• EthanJamesLew / AutoKoopman
  AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
  ☆72Updated 11 months ago
• HildoBijl / GPRT
  Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.
  ☆72Updated 7 years ago
• sisl / variational_koopman
  Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…
  ☆39Updated 5 years ago
• GaloisInc / dlkoopman
  A general-purpose Python package for Koopman theory using deep learning.
  ☆98Updated 2 months ago
• AleksandarHaber / Machine-Learning-of-Dynamical-Systems-using-Recurrent-Neural-Networks
  This project deals with learning to reproduce the input-output behavior of state-space models using recurrent neural networks and the Ker…
  ☆31Updated 3 weeks ago
• MaartenSchoukens / deepSI
  Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)
  ☆54Updated 2 weeks ago
• mikdangana / lstm_ekf
  Adaptive Control System Using ML-Tunable Kalman Filters
  ☆16Updated 2 years ago
• eurika-kaiser / KRONIC
  Koopman Reduced-Order Nonlinear Identification and Control
  ☆88Updated 5 years ago
• panweihit / BSID
  Bayesian System IDentification
  ☆28Updated 7 years ago
• MilanKorda / KoopmanMPC
  ☆71Updated 6 years ago
• AleksandarHaber / Subspace-Identification-State-Space-System-Identification-of-Dynamical-Systems-and-Time-Series-
  ☆44Updated 3 weeks ago
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆52Updated 4 years ago
• urban-fasel / SEIR_SINDY_MPC
  ☆41Updated 3 years ago
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆45Updated 4 years ago
• MarcoTodescato / Efficient-GP-Regression-via-Kalman-Filtering
  Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the tempora…
  ☆39Updated 6 years ago
• forgi86 / pytorch-ident
  System identification in PyTorch
  ☆25Updated 2 years ago
• eurika-kaiser / koopman-mpc-comparison
  ☆23Updated 3 years ago
• Jonas-Nicodemus / PINNs-based-MPC
  We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…
  ☆101Updated last year
• forgi86 / dynonet
  "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga
  ☆44Updated 10 months ago
• mlpotter / DeepKoopmanLusch
  PyTorch Implementation of Lusch et al DeepKoopman
  ☆13Updated 2 years ago
• hanyoseob / matlab-koopman
  Koopman operator
  ☆27Updated 5 years ago