Alternatives and similar repositories for K-NODE

Users that are interested in K-NODE are comparing it to the libraries listed below

• TomJZ / Online-KNODE-MPC
  ☆33Updated 2 years ago
• HaojieSHI98 / DeepKoopmanWithControl
  Soure code for Deep Koopman with Control
  ☆85Updated 3 years ago
• thaipduong / LieGroupHamDL
  ☆19Updated last year
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆51Updated 5 years ago
• KevinHuang8 / DATT
  Repo for paper DATT: Deep Adaptive Trajectory Tracking for Quadrotor Drones
  ☆57Updated last year
• leggedrobotics / rayen
  Imposition of Hard Convex Constraints on Neural Networks
  ☆80Updated last year
• uiuc-iml / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆43Updated 2 years ago
• wecacuee / Bayesian_CBF
  Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
  ☆28Updated 2 years ago
• jisacks / dmpo
  Code for the paper "Deep Model Predictive Optimization"
  ☆27Updated last year
• Cafolkes / koopman_learning_and_control
  Repository for Koopman based learning and nonlinear control
  ☆43Updated 2 years ago
• Sheng-Cheng / DiffTuneOpenSource
  ☆47Updated 7 months ago
• decargroup / pykoop
  Koopman operator identification library in Python, compatible with `scikit-learn`
  ☆79Updated last month
• Rory-WeiCheng / ESE-619-Model-Predictive-Control
  Lecture Slides, Personal Notes, Homework Solutions and Codes for ESE 619: Model Predictive Control 2023 Spring @ UPenn
  ☆41Updated last year
• RIVeR-Lab / Stochastic-MPPI
  Adaptive control for skid-steer robots using GP-enhanced MPPI for robust navigation and obstacle avoidance on diverse terrains.
  ☆33Updated 7 months ago
• TUM-AAS / ml-casadi
  Use PyTorch Models with CasADi and Acados
  ☆225Updated last year
• srl-ethz / DeSKO-Deep-Stochastic-Koopman-Operator
  ☆14Updated 4 months ago
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆64Updated 2 years ago
• thaipduong / SE3HamDL
  Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"
  ☆42Updated last year
• IntelligentControlSystems / l4acados
  ☆49Updated last week
• UMich-CURLY / Lie-MPC-AMVs
  Convex Geometric Trajectory Tracking using Lie Algebraic MPC for Autonomous Marine Vehicles
  ☆49Updated last year
• RCL-NUS / NeuroMHE
  Neural Moving Horizon Estimation (NeuroMHE) is an auto-tuning and adaptive optimal estimator. It fuses a nueral network with an MHE to re…
  ☆60Updated last month
• smidmatej / mpc_quad_ros
  Model Predictive Controller for a quadcopter model using online learning with recursive Gaussian process regression in ROS-Gazebo
  ☆19Updated last year
• shaoanlu / mppi_cbf
  Colab notebooks showcasing experiments on MPPI (model predictive path integral control) and CBF (control barrier function). Utilizes jax …
  ☆78Updated 4 months ago
• GuanyaShi / Online-Meta-Adaptive-Control
  ☆56Updated 3 years ago
• TobiaMarcucci / shortest-paths-in-graphs-of-convex-sets
  ☆76Updated 2 years ago
• ZhaomingXie / CDDP
  constraint differential dynamical programming
  ☆29Updated 2 years ago
• bardhh / cbfkit
  Toolbox for Robotics Control
  ☆65Updated last month
• Jonas-Nicodemus / PINNs-based-MPC
  We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…
  ☆107Updated last year
• manish-pra / sampling-gpmpc
  Sampling based GP MPC
  ☆28Updated last week
• forgi86 / efficient-calibration-embedded-MPC
  Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Be…
  ☆25Updated 4 years ago