Alternatives and similar repositories for sysid-transformers:

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

• forgi86 / dynonet
  "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga
  ☆44Updated 10 months ago
• EthanJamesLew / AutoKoopman
  AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
  ☆72Updated 11 months ago
• bemporad / jax-sysid
  A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax
  ☆31Updated 3 weeks ago
• forgi86 / sysid-transfer-functions-pytorch
  Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"
  ☆22Updated last year
• forgi86 / pytorch-ident
  System identification in PyTorch
  ☆25Updated 2 years ago
• MaartenSchoukens / deepSI
  Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)
  ☆54Updated 2 weeks ago
• wuwushrek / physics_constrained_nn
  Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
  ☆48Updated 3 years ago
• decargroup / pykoop
  Koopman operator identification library in Python, compatible with `scikit-learn`
  ☆73Updated 5 months ago
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆45Updated 4 years ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆55Updated 5 months ago
• GaloisInc / dlkoopman
  A general-purpose Python package for Koopman theory using deep learning.
  ☆98Updated 2 months ago
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆52Updated 4 years ago
• forgi86 / sysid-neural-estimator
  Code accompanying the paper "Learning neural state-space models: do we need a state estimator?"
  ☆10Updated last year
• bemporad / GLIS
  GLIS package
  ☆28Updated 2 years ago
• FilippoAiraldi / casadi-neural-nets
  Neural Networks with CasADi
  ☆10Updated 3 weeks ago
• urban-fasel / SEIR_SINDY_MPC
  ☆41Updated 3 years ago
• meco-group / nlgreyfast
  Toolbox for system identification of nonlinear state space grey-box models using CasADi
  ☆25Updated last year
• forgi86 / sysid-neural-continuous
  Continuous-time system identification with neural networks
  ☆25Updated 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
• giorgosmamakoukas / MemoryEfficientStableLDS
  Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"
  ☆23Updated 4 years ago
• Pdbz199 / Koopman-RL-Old
  Data-driven Koopman control theory applied to reinforcement learning!
  ☆32Updated last year
• MilanKorda / KoopmanMPC
  ☆71Updated 6 years ago
• forgi86 / sysid-neural-structures-fitting
  Python code of the paper "Model structures and fitting criteria for system identification with neural networks" by Marco Forgione and Dar…
  ☆20Updated 3 years ago
• pnnl / deps_arXiv2020
  Differentiable predictive control (DPC) policy optimization examples.
  ☆53Updated last year
• sklus / d3s
  Data-driven dynamical systems toolbox.
  ☆74Updated last week
• eurika-kaiser / KRONIC
  Koopman Reduced-Order Nonlinear Identification and Control
  ☆88Updated 5 years ago
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆62Updated 2 years ago
• srl-ethz / DeSKO-Deep-Stochastic-Koopman-Operator
  ☆13Updated 2 months ago
• StanfordASL / Adaptive-Control-Oriented-Meta-Learning
  Adaptive control-oriented meta-learning for nonlinear systems
  ☆61Updated 3 years ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆58Updated 2 years ago