VBayesLab / Tutorial-on-VBLinks
☆16Updated 4 years ago
Alternatives and similar repositories for Tutorial-on-VB
Users that are interested in Tutorial-on-VB are comparing it to the libraries listed below
Sorting:
- Official documentation☆30Updated 4 years ago
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆226Updated 2 years ago
- Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson☆73Updated last year
- Codes for Hilbert space reduced-rank GP regression☆14Updated 6 years ago
- Code for random Fourier features based on Rahimi and Recht's 2007 paper.☆56Updated 4 years ago
- Example codes for the book Applied Stochastic Differential Equations☆195Updated 4 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- This document contains the functions that are currently available in the RobustSP toolbox: a Matlab toolbox for robust signal processing.…☆17Updated 5 years ago
- L1-regularized least squares with PyTorch☆69Updated 2 years ago
- Gaussian process regression + automatical model selection for logitudinal -omics data☆21Updated 4 years ago
- GPstuff - Gaussian process models for Bayesian analysis☆175Updated 2 years ago
- Zheng Zhao's doctoral dissertation from Aalto University☆34Updated 2 years ago
- ☆14Updated 2 years ago
- Python and NumPy extension module implementing the generalized signular value decomposition (GSVD).☆35Updated 5 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆35Updated 2 years ago
- Variational Gaussian Process State-Space Models☆24Updated 9 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.☆45Updated last year
- Matlab implementation of the Adam stochastic gradient descent optimisation algorithm☆58Updated 8 years ago
- Accompanying code for "State Estimation of a Physical System without Governing Equations"☆88Updated last year
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆33Updated 8 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Scalable Gaussian Process Regression with Derivatives☆37Updated 6 years ago
- A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…☆24Updated 9 months ago
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆80Updated last month
- Convolution dictionary learning for time-series☆131Updated last week
- Matlab Toolbox for Bayesian Estimation☆44Updated 9 years ago
- ☆12Updated 2 years ago
- ☆46Updated 2 years ago
- Particle filtering and sequential parameter inference in Python☆83Updated 2 years ago