probml / pmtksupportLinks
Various packages used by PMTK.
☆56Updated 6 years ago
Alternatives and similar repositories for pmtksupport
Users that are interested in pmtksupport are comparing it to the libraries listed below
Sorting:
- Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).☆71Updated 7 years ago
- A collection of MATLAB data sets used by PMTK.☆57Updated 12 years ago
- YAGTOM: Yet Another Guide TO Matlab☆57Updated 12 years ago
- Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…☆56Updated 7 years ago
- Python Library for Particle based estimation methods☆64Updated 7 years ago
- Visualize optimization algorithms in MATLAB.☆155Updated 3 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- lightspeed matlab toolbox☆134Updated 4 years ago
- Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…☆78Updated 7 years ago
- Kernel Methods Toolbox for Matlab/Octave☆52Updated 6 years ago
- Pattern Recognition Toolbox for MATLAB☆146Updated 2 months ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Materials for Bayesian Methods in Machine Learning Course☆92Updated last month
- Open access book on variational Bayesian methods written collaboratively☆28Updated 10 years ago
- Bayesian Gaussian mixture models in Python.☆64Updated 2 years ago
- Dirichlet Process K-means☆49Updated last year
- Kernel Adaptive Filtering: A Comprehensive Introduction☆43Updated 10 years ago
- Bayesian GPLVM in MATLAB and R☆77Updated 8 years ago
- GPstuff - Gaussian process models for Bayesian analysis☆175Updated 3 years ago
- A Python convex optimization package using proximal splitting methods☆119Updated 3 months ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆144Updated 8 years ago
- A MATLAB toolbox for building first-order solvers for convex models.☆142Updated 3 years ago
- Sample implementations of proximal operators☆194Updated 12 years ago
- Deep Gaussian Processes in matlab☆93Updated 4 years ago
- A Newton ADMM based solver for Cone programming.☆39Updated 8 years ago
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆232Updated 2 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆34Updated 8 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆67Updated 8 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆44Updated 11 years ago
- Mutual Information functions for C and MATLAB☆144Updated 7 years ago