Alternatives and similar repositories for EPyStateEstimator

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

• ido90 / UsingKalmanFilterTheRightWay
  ☆27Updated 2 years ago
• sorooshafiee / WKF
  ☆16Updated 7 years ago
• urosolia / Learning_Robust_MPC
  ☆11Updated 3 years ago
• decargroup / pykoop
  Koopman operator identification library in Python, compatible with `scikit-learn`
  ☆102Updated 3 months ago
• manschuer / SRGP
  stochastic recursive Gaussian Process (SRGP)
  ☆20Updated 5 years ago
• vmartinezalvarez / DyNODE
  DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
  ☆23Updated 5 years ago
• boisgera / control-engineering-with-python
  Control Engineering with Python
  ☆77Updated 3 months ago
• haozhg / oml
  AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
  ☆33Updated 3 years ago
• mazen-alamir / torczon
  ☆11Updated 4 years ago
• aerorobotics / neural-swarm
  Code related to the Neural-Swarm (ICRA 2020, Journal) papers
  ☆28Updated 3 years ago
• merlresearch / pycvxset
  pycvxset is a Python package for manipulation and visualization of convex sets.
  ☆41Updated 6 months ago
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆99Updated 4 years ago
• pratyushkumar211 / industrial_nnmpc_2021
  Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."
  ☆19Updated 4 years ago
• StanfordASL / SNDL
  Stabilizable Nonlinear Dynamics Learning
  ☆22Updated 6 years ago
• TUM-ITR / koopcore
  Koopman Kernels for Learning Dynamical Systems from Trajectory Data
  ☆31Updated 2 years ago
• vdorobantu / lyapy
  Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.
  ☆42Updated 3 years ago
• ajthor / socks
  Stochastic Optimal Control and Reachability Toolbox Written in Python
  ☆15Updated 2 years ago
• Eric-Bradford / UKF-SNMPC
  This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).
  ☆61Updated 2 years ago
• jacobnzw / SSMToybox
  Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature
  ☆12Updated 4 years ago
• GuanyaShi / Online-Meta-Adaptive-Control
  ☆58Updated 4 years ago
• asrvsn / koopman-robust-control
  Uncertainty sets for nonlinear dynamical systems
  ☆10Updated 5 years ago
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆50Updated 5 years ago
• Bigpig4396 / Incremental-Gaussian-Process-Regression-IGPR
  ☆16Updated 4 years ago
• pnnl / deps_arXiv2020
  Differentiable predictive control (DPC) policy optimization examples.
  ☆61Updated 2 years ago
• LearningByDoingCompetition / learningbydoing-comp
  LearningByDoing NeurIPS 2021 Competition: Standalone Code and Results
  ☆20Updated 3 years ago
• MaartenSchoukens / deepSI
  Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)
  ☆63Updated 8 months ago
• decargroup / closed_loop_koopman
  Companion code for Closed-Loop Koopman Operator Approximation
  ☆16Updated last year
• GAMES-UChile / BayesianSpectralEstimation
  Bayesian nonparametric spectral estimation
  ☆14Updated 3 years ago
• zgbkdlm / ssdgp
  State-space deep Gaussian processes in Python and Matlab
  ☆30Updated 3 years ago
• HildoBijl / SONIG
  Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.
  ☆29Updated 8 years ago