VBayesLab / VBLabLinks
Official documentation
☆30Updated 4 years ago
Alternatives and similar repositories for VBLab
Users that are interested in VBLab are comparing it to the libraries listed below
Sorting:
- Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson☆73Updated last year
- ☆16Updated 4 years ago
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆226Updated 2 years ago
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…☆54Updated 6 years ago
- GPstuff - Gaussian process models for Bayesian analysis☆175Updated 2 years ago
- Gaussian process regression + automatical model selection for logitudinal -omics data☆21Updated 4 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆140Updated 8 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
- Repository for "Fitting a Kalman Smoother to Data"☆59Updated last year
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Accompanying code for "State Estimation of a Physical System without Governing Equations"☆88Updated last year
- multivariate Gaussian process regression and multivariate Student-t process regression☆76Updated 4 years ago
- Course webpage for PGM, Spring 2019.☆76Updated 4 years ago
- Bayesian System IDentification☆28Updated 7 years ago
- Sparse Spectrum Gaussian Process Regression☆23Updated 5 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Updated 4 years ago
- [ICML 2017] Robust estimation of mean and covariance in high dimensions☆33Updated 4 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Particle filtering and sequential parameter inference in Python☆83Updated 2 years ago
- Bayesian Filtering & Smoothing demos☆19Updated 5 years ago
- Variational Gaussian mixture model for MATLAB.☆12Updated 4 years ago
- Manopt, a Matlab toolbox for optimization on manifolds☆354Updated 4 months ago
- An up-to-date version of GPML library.☆38Updated 6 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- ☆15Updated 6 years ago
- Streaming sparse Gaussian process approximations☆67Updated 2 years ago
- Various packages used by PMTK.☆55Updated 5 years ago
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆13Updated 3 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆51Updated 9 years ago