mohammadkazem-sadoughi / Multi-output-Gaussian-ProcessLinks
☆15Updated 6 years ago
Alternatives and similar repositories for Multi-output-Gaussian-Process
Users that are interested in Multi-output-Gaussian-Process are comparing it to the libraries listed below
Sorting:
- multivariate Gaussian process regression and multivariate Student-t process regression☆77Updated 4 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆71Updated 8 years ago
- An Intuitive Tutorial to Gaussian Processes Regression☆657Updated last year
- Streaming sparse Gaussian process approximations☆69Updated 3 years ago
- Gaussian Process Model Dynamic System Identification Toolbox for Matlab☆94Updated 8 years ago
- Multi-Output Gaussian Process Toolkit☆184Updated 6 months ago
- MPC with Gaussian Process☆228Updated 6 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆81Updated last year
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆129Updated 2 years ago
- Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart☆221Updated 5 years ago
- ☆294Updated 5 years ago
- Subspace methods for MIMO system identification☆66Updated 6 years ago
- A highly efficient and modular implementation of Gaussian Processes in PyTorch☆16Updated 5 years ago
- A package for computing data-driven approximations to the Koopman operator.☆395Updated last year
- A general-purpose Python package for Koopman theory using deep learning.☆116Updated 2 months ago
- HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problem…☆188Updated 3 weeks ago
- stochastic recursive Gaussian Process (SRGP)☆20Updated 5 years ago
- Gaussian Process Regression using GPML toolbox☆36Updated 5 years ago
- Sparse Spectrum Gaussian Process Regression☆24Updated 5 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆156Updated 5 years ago
- "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga☆48Updated last year
- 高斯过程回归☆84Updated 3 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆92Updated 5 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆144Updated 2 years ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆63Updated 7 months ago
- Learning Koopman operator by EDMD with trainable dictionary☆27Updated 3 years ago
- Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the tempora…☆39Updated 7 years ago
- GLIS package☆31Updated 2 years ago
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆67Updated 7 months ago
- Master thesis spring 2019. Template to be futher used by the department of chemical engineering at NTNU,☆38Updated last year