manschuer / SRGP
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
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- Koopman operator identification library in Python, compatible with `scikit-learn`☆74Updated this week
- GPyTorch Implementation of Online Sparse Gaussian Process Regression☆10Updated last year
- Batch and incremental Sparse Spectrum Gaussian Process for Regression☆10Updated 4 years ago
- Companion code for Closed-Loop Koopman Operator Approximation☆16Updated last year
- SIMBa☆12Updated 3 months ago
- Toolbox for system identification of nonlinear state space grey-box models using CasADi☆25Updated last year
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆53Updated 3 weeks ago
- Sequential Convex Programming For Non-Linear Stochastic Optimal Control☆11Updated 2 years ago
- Gaussian Process Model Dynamic System Identification Toolbox for Matlab☆94Updated 7 years ago
- ☆15Updated 3 years ago
- Data Driven Reachability Analysis from Noisy Data☆27Updated last year
- Implementation of Numerical Gaussian Processes in C++☆28Updated 6 years ago
- Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"☆41Updated last year
- "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga☆44Updated 11 months ago
- Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson☆71Updated last year
- State-space deep Gaussian processes in Python and Matlab☆30Updated 2 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆72Updated 8 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…☆40Updated last year
- Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the tempora…☆39Updated 6 years ago
- Imposition of Hard Convex Constraints on Neural Networks☆80Updated last year
- MATLAB implementation of standard particle filter, auxiliary particle filter, mixture particle filter, and out-of-sequence particle filte…☆36Updated 5 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆59Updated 2 years ago
- Library for High-Performance implementation of solvers for MPC.☆56Updated 4 years ago
- Sparse Spectrum Gaussian Process Regression☆23Updated 5 years ago
- MIT 16.S498: Risk Aware and Robust Nonlinear Planning (rarnop) by Ashkan Jasour☆65Updated 2 weeks ago
- Code for ICRA 2022 paper - KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic enviro…☆13Updated 9 months ago
- Bayesian Filtering & Smoothing demos☆19Updated 5 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆51Updated 2 years ago