Alternatives and similar repositories for mogpe:

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

• fmeier / local_gaussian_regression
  ☆11Updated 7 years ago
• Bigpig4396 / Incremental-Gaussian-Process-Regression-IGPR
  ☆15Updated 3 years ago
• Stanford-ILIAD / active-preference-based-gpr
  Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
  ☆40Updated last year
• lubaroli / dust
  This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.
  ☆24Updated 3 years ago
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆64Updated 2 years ago
• sorooshafiee / WKF
  ☆14Updated 6 years ago
• agijsberts / ssgpr
  Batch and incremental Sparse Spectrum Gaussian Process for Regression
  ☆10Updated 4 years ago
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 4 years ago
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆45Updated 4 years ago
• manschuer / SRGP
  stochastic recursive Gaussian Process (SRGP)
  ☆20Updated 4 years ago
• harwiltz / stable-dynamics-models
  PyTorch implementation of "Learning Stable Deep Dynamics Models" (https://papers.nips.cc/paper/9292-learning-stable-deep-dynamics-models)…
  ☆16Updated 4 years ago
• wecacuee / Bayesian_CBF
  Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
  ☆28Updated 2 years ago
• sisl / variational_koopman
  Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…
  ☆38Updated 5 years ago
• linesd / SSGPR
  Sparse Spectrum Gaussian Process Regression
  ☆22Updated 5 years ago
• tony23545 / DeepKoopman
  Use deep learning to learn Koopman operator and LQR for optimal control
  ☆16Updated 4 years ago
• Weizhe-Chen / OSGPR
  GPyTorch Implementation of Online Sparse Gaussian Process Regression
  ☆10Updated 11 months ago
• thangbui / sparseGP_powerEP
  Unifying sparse approximations for Gaussian process regression and classification, using Power EP
  ☆22Updated 8 years ago
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆60Updated 4 years ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆32Updated last year
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆52Updated 4 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"
  ☆41Updated last year
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆62Updated last year
• TBeckers / CTC_GPR
  Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems
  ☆13Updated 5 years ago
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆51Updated 3 years ago
• pmorenoz / ContinualGP
  Continual Gaussian Processes
  ☆32Updated last year
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆33Updated 5 years ago
• i-abr / active-learning-koopman
  ☆23Updated 3 years ago
• kimukook / CLF-CBF-python
  This is a python repo that implements control barrier function quadratic programming method.
  ☆12Updated 3 years ago
• giorgosmamakoukas / MemoryEfficientStableLDS
  Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"
  ☆22Updated 4 years ago
• pmorenoz / HetMOGP
  Heterogeneous Multi-output Gaussian Processes
  ☆52Updated 4 years ago