VBayesLab / VBLabLinks
Official documentation
☆29Updated 4 years ago
Alternatives and similar repositories for VBLab
Users that are interested in VBLab are comparing it to the libraries listed below
Sorting:
- ☆15Updated 4 years ago
- Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson☆73Updated last year
- Gaussian process regression + automatical model selection for logitudinal -omics data☆21Updated 4 years ago
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- Infinite-horizon Gaussian processes☆33Updated 4 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
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆13Updated 3 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
- State-space deep Gaussian processes in Python and Matlab☆30Updated 2 years ago
- Zheng Zhao's doctoral dissertation from Aalto University☆34Updated 2 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- ☆15Updated 8 years ago
- Adaptive MCMC and CMA-ES Python code☆14Updated 5 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆51Updated 9 years ago
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆224Updated 2 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
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆31Updated last year
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆62Updated 4 years ago
- Particle filtering and sequential parameter inference in Python☆83Updated 2 years ago
- Codes for Hilbert space reduced-rank GP regression☆14Updated 5 years ago
- Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.☆27Updated 9 months ago
- Recyclable Gaussian Processes☆11Updated 2 years ago
- Code for the simulations in the neural Kalman filtering paper☆17Updated 3 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- ☆23Updated last year
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- Bayesian System IDentification☆28Updated 7 years ago
- Variational Gaussian mixture model for MATLAB.☆12Updated 4 years ago
- Tutorial on Gaussian Processes☆62Updated 5 years ago