Alternatives and similar repositories for SRGP

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

• sorooshafiee / WKF
  ☆15Updated 6 years ago
• Weizhe-Chen / OSGPR
  GPyTorch Implementation of Online Sparse Gaussian Process Regression
  ☆11Updated last year
• erichanslee / GP_Derivatives
  Scalable Gaussian Process Regression with Derivatives
  ☆38Updated 6 years ago
• decargroup / pykoop
  Koopman operator identification library in Python, compatible with `scikit-learn`
  ☆80Updated last month
• agijsberts / ssgpr
  Batch and incremental Sparse Spectrum Gaussian Process for Regression
  ☆10Updated 4 years ago
• Cemempamoi / simba
  SIMBa
  ☆12Updated 4 months ago
• meco-group / nlgreyfast
  Toolbox for system identification of nonlinear state space grey-box models using CasADi
  ☆26Updated last year
• MarcoTodescato / Efficient-GP-Regression-via-Kalman-Filtering
  Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the tempora…
  ☆39Updated 7 years ago
• StanfordASL / stochasticSCP
  Sequential Convex Programming For Non-Linear Stochastic Optimal Control
  ☆12Updated 2 years ago
• Bigpig4396 / Incremental-Gaussian-Process-Regression-IGPR
  ☆16Updated 3 years ago
• jasour / rarnop19
  MIT 16.S498 Graduate Course: Risk Aware and Robust Nonlinear Planning (rarnop) by Ashkan Jasour
  ☆64Updated 2 months ago
• UW-ACL / pipg-demo
  Demonstration of the PIPG algorithm for trajectory optimization
  ☆23Updated 3 years ago
• zgbkdlm / ssdgp
  State-space deep Gaussian processes in Python and Matlab
  ☆30Updated 3 years ago
• osqp / osqp-matlab
  Matlab interface for OSQP
  ☆50Updated last month
• aalanwar / Data-Driven-Reachability-Analysis
  Data Driven Reachability Analysis from Noisy Data
  ☆29Updated last year
• aidanscannell / mogpe
  Mixtures of Gaussian Process Experts in GPflow/TensorFlow
  ☆11Updated 2 years ago
• decargroup / closed_loop_koopman
  Companion code for Closed-Loop Koopman Operator Approximation
  ☆16Updated last year
• HildoBijl / GPRT
  Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.
  ☆71Updated 8 years ago
• Alex-yanranwang / Imperial-KinoJGM
  Code for ICRA 2022 paper - KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic enviro…
  ☆13Updated 11 months 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
• Dynamic-Systems-and-GP / GPdyn
  Gaussian Process Model Dynamic System Identification Toolbox for Matlab
  ☆94Updated 7 years ago
• nMPyC / nmpyc
  MPC package for solving optimal control problems
  ☆14Updated 3 weeks ago
• learning-and-control / core
  Python simulation and hardware library for learning and control
  ☆20Updated 2 years ago
• giaf / hpmpc
  Library for High-Performance implementation of solvers for MPC.
  ☆56Updated last week
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆67Updated 2 years ago
• hespanha / tenscalc
  A Matlab toolbox for nonlinear optimization using symbolic tensor calculus
  ☆16Updated 5 months ago
• EmbersArc / EiCOS
  A C++ Second Order Cone Solver based on Eigen
  ☆32Updated 3 years ago
• TUDelft-DataDrivenControl / Predictor-Based-Subspace-IDentification-toolbox
  In this toolbox you find a family of PBSID algorithms for LTI, LPV and other model structures.
  ☆15Updated 7 years ago
• EEA-sensors / Bayesian-Filtering-and-Smoothing
  Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson
  ☆73Updated last year
• sursu / Bayesian-Filtering
  Bayesian Filtering & Smoothing demos
  ☆19Updated 5 years ago