Alternatives and similar repositories for sysid-neuralnet:

Users that are interested in sysid-neuralnet are comparing it to the libraries listed below

• meco-group / nlgreyfast
  Toolbox for system identification of nonlinear state space grey-box models using CasADi
  ☆25Updated last year
• haozhg / oml
  AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
  ☆30Updated 2 years ago
• Alro10 / MOESP-and-N4SID
  Subspace methods for MIMO system identification
  ☆61Updated 5 years ago
• forgi86 / dynonet
  "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga
  ☆44Updated 9 months ago
• Dynamic-Systems-and-GP / GPdyn
  Gaussian Process Model Dynamic System Identification Toolbox for Matlab
  ☆90Updated 7 years ago
• forgi86 / pytorch-ident
  System identification in PyTorch
  ☆24Updated last year
• eurika-kaiser / KRONIC
  Koopman Reduced-Order Nonlinear Identification and Control
  ☆87Updated 4 years ago
• AleksandarHaber / Subspace-Identification-State-Space-System-Identification-of-Dynamical-Systems-and-Time-Series-
  ☆44Updated last year
• sabean / Koopman
  Learning dynamical systems from data: Koopman
  ☆15Updated 5 years ago
• urban-fasel / SEIR_SINDY_MPC
  ☆41Updated 3 years ago
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆52Updated 4 years ago
• MaartenSchoukens / deepSI
  Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)
  ☆54Updated last month
• MilanKorda / KoopmanMPC
  ☆70Updated 6 years ago
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆90Updated 3 years ago
• Cafolkes / keedmd
  Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…
  ☆27Updated 2 years ago
• forgi86 / sysid-transfer-functions-pytorch
  Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"
  ☆22Updated last year
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆45Updated 4 years ago
• Eric-Bradford / UKF-SNMPC
  This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).
  ☆59Updated 2 years ago
• forgi86 / sysid-neural-continuous
  Continuous-time system identification with neural networks
  ☆25Updated 3 years ago
• EthanJamesLew / AutoKoopman
  AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
  ☆70Updated 10 months ago
• panweihit / BSID
  Bayesian System IDentification
  ☆28Updated 7 years ago
• pnnl / deps_arXiv2020
  Differentiable predictive control (DPC) policy optimization examples.
  ☆52Updated last year
• decargroup / pykoop
  Koopman operator identification library in Python, compatible with `scikit-learn`
  ☆69Updated 4 months ago
• manschuer / SRGP
  stochastic recursive Gaussian Process (SRGP)
  ☆20Updated 4 years ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆57Updated 2 years ago
• n-takeishi / learning-kis
  Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
  ☆40Updated 3 years ago
• ContiPaolo / EKF-SINDy
  Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)
  ☆48Updated 2 months ago
• 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