sorooshafiee / WKFLinks
☆15Updated 6 years ago
Alternatives and similar repositories for WKF
Users that are interested in WKF are comparing it to the libraries listed below
Sorting:
- Stabilizable Nonlinear Dynamics Learning☆21Updated 5 years ago
- Streaming sparse Gaussian process approximations☆67Updated 2 years ago
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆13Updated 3 years ago
- ☆16Updated 3 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆96Updated 3 years ago
- Mixtures of Gaussian Process Experts in GPflow/TensorFlow☆11Updated 2 years ago
- Infinite-horizon Gaussian processes☆33Updated 4 years ago
- stochastic recursive Gaussian Process (SRGP)☆20Updated 4 years ago
- State-space deep Gaussian processes in Python and Matlab☆30Updated 3 years ago
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- Source code for the examples accompanying the paper "Learning convex optimization control policies."☆84Updated 2 years ago
- Sparse Spectrum Gaussian Process Regression☆23Updated 5 years ago
- Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.☆41Updated 2 years ago
- Enforcing robust control guarantees within neural network policies☆54Updated 4 years ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 4 years ago
- Repository for "Fitting a Kalman Smoother to Data"☆59Updated last year
- Koopman operator identification library in Python, compatible with `scikit-learn`☆80Updated 2 months ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆46Updated 4 years ago
- Bayesian Filtering & Smoothing demos☆19Updated 5 years ago
- ☆46Updated 2 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- This is a re-implementation and test on paper Deep Kalman Filter: https://arxiv.org/pdf/1511.05121.pdf☆19Updated 5 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆58Updated 2 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Simple optimal control framework for python☆13Updated 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
- ☆36Updated 2 years ago
- MPC package for solving optimal control problems☆14Updated last month
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago
- Input Inference for Control (i2c), a control-as-inference framework for optimal control☆25Updated last year