lacerbi / vbgmmLinks
Variational Gaussian mixture model for MATLAB.
☆12Updated 4 years ago
Alternatives and similar repositories for vbgmm
Users that are interested in vbgmm are comparing it to the libraries listed below
Sorting:
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 9 years ago
- Matlab implementation of the Bayesian Fuzzy Clustering algorithms. See related paper, doi: 10.1109/TFUZZ.2014.2370676☆25Updated 6 years ago
- Bayesian System IDentification☆28Updated 7 years ago
- Matlab implementation of the Adam stochastic gradient descent optimisation algorithm☆58Updated 8 years ago
- Magnetic resonance imaging (MRI) images are known to be sparse. This is an implementation using non-convex penalty function that encourag…☆19Updated 6 years ago
- I implemented the fllowing article by Matlab.Refrence:Oh T H, Matsushita Y, Tai Y W, et al. Fast Randomized Singular Value Thresholding f…☆30Updated 7 years ago
- Computing the discrete spectrum of the Koopman operator using Dynamic Mode Decomposition☆10Updated 5 years ago
- Source codes for paper "Faster FISTA" and "Improving FISTA: Faster, Smarter and Greedier''☆44Updated 3 years ago
- MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3☆55Updated 6 years ago
- This includes codes for Alternating Direction Method of Multipliers (ADMM) on several interesting applications, such as Lq basis pursuit,…☆21Updated 9 years ago
- Matlab Toolbox for Bayesian Estimation☆44Updated 9 years ago
- This repository provides a Matlab implementation of the ADMM-based solvers for L1-L1 and L1-L2 minimization.☆17Updated 7 years ago
- A repository comprising multiple functions for making elegant publication-quality figures in MATLAB☆48Updated 5 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
- An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''☆22Updated 6 years ago
- ☆33Updated 2 years ago
- MATLAB code for Relevance Vector Machine using SB2_Release_200.☆56Updated 3 years ago
- Matlab implementation of a Generative Adversarial Network☆24Updated 7 years ago
- Code for multichannel sparse blind deconvolution problem.☆13Updated 5 years ago
- The collection of tensor decomposition, completion and recovery papers and codes.☆52Updated 6 years ago
- Application and framework for executing and testing numerical optimization methods. State of the art algorithms such as l-bfgs, cg_descen…☆41Updated 5 years ago
- The code for the paper "Spatio-Temporal Structured Sparse Regression With Hierarchical Gaussian Process Priors" by Danil Kuzin, Olga Isup…☆13Updated 6 years ago
- MATLAB codes for multilevel optimal transport☆25Updated 6 years ago
- Official documentation☆30Updated 4 years ago
- A MATLAB Toolbox for High-order Tensor Data Decompositions and Analysis☆20Updated 7 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆12Updated 4 years ago
- Gaussian process regression + automatical model selection for logitudinal -omics data☆20Updated 4 years ago
- Creates a legend with a specified number of columns☆21Updated 5 years ago
- Bayesian Convolutional Neural Networks for Compressed Sensing Restoration☆19Updated 6 years ago