manschuer / SRGPLinks
stochastic recursive Gaussian Process (SRGP)
☆20Updated 4 years ago
Alternatives and similar repositories for SRGP
Users that are interested in SRGP are comparing it to the libraries listed below
Sorting:
- ☆15Updated 6 years ago
- GPyTorch Implementation of Online Sparse Gaussian Process Regression☆11Updated last year
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the tempora…☆40Updated 7 years ago
- Toolbox for system identification of nonlinear state space grey-box models using CasADi☆26Updated last year
- Data Driven Reachability Analysis from Noisy Data☆29Updated last year
- ☆16Updated 3 years ago
- SIMBa☆12Updated 4 months ago
- Koopman operator identification library in Python, compatible with `scikit-learn`☆80Updated last month
- Gaussian Process Model Dynamic System Identification Toolbox for Matlab☆94Updated 7 years ago
- Code for ICRA 2022 paper - KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic enviro…☆13Updated 11 months ago
- Batch and incremental Sparse Spectrum Gaussian Process for Regression☆10Updated 4 years ago
- Sequential Convex Programming For Non-Linear Stochastic Optimal Control☆12Updated 2 years ago
- State-space deep Gaussian processes in Python and Matlab☆30Updated 3 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆58Updated 2 years ago
- Python simulation and hardware library for learning and control☆20Updated 2 years ago
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆47Updated 4 years ago
- MATLAB implementation of standard particle filter, auxiliary particle filter, mixture particle filter, and out-of-sequence particle filte…☆36Updated 5 years ago
- "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga☆44Updated last year
- Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"☆42Updated last year
- Particle filter-based Gaussian process optimisation for parameter inference☆11Updated 7 years ago
- MIT 16.S498 Graduate Course: Risk Aware and Robust Nonlinear Planning (rarnop) by Ashkan Jasour☆64Updated 2 months ago
- Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson☆73Updated last year
- Streaming sparse Gaussian process approximations☆67Updated 2 years ago
- Nonlinear Distributionally-Robust MPC via Risk-Sensitive Optimal Control in Julia☆21Updated 3 years ago
- This is the MATLAB code for a brief tutorial for Model Predictive Control (MPC) for a linear discrete-time system with constrained states…☆41Updated last year
- MPC package for solving optimal control problems☆14Updated 3 weeks ago
- In this toolbox you find a family of PBSID algorithms for LTI, LPV and other model structures.☆15Updated 7 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆71Updated 8 years ago
- Neural Koopman Lyapunov Control☆25Updated 2 years ago