Alternatives and similar repositories for pmtksupport:

Users that are interested in pmtksupport are comparing it to the libraries listed below

• probml / pmtkdata
  A collection of MATLAB data sets used by PMTK.
  ☆56Updated 11 years ago
• PhDP / mlbop
  Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).
  ☆66Updated 6 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆66Updated 7 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 10 years ago
• michaelchughes / NPBayesHMM
  Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…
  ☆78Updated 7 years ago
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆92Updated 3 years ago
• kamperh / bayes_gmm
  Bayesian Gaussian mixture models in Python.
  ☆63Updated last year
• epfl-lts2 / pyunlocbox
  A Python convex optimization package using proximal splitting methods
  ☆111Updated last year
• yunjhongwu / Sticky-HDPHMM-demo
  Sticky hierarchical Dirichlet process hidden Markov model for time series denoising
  ☆46Updated 8 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆38Updated 7 years ago
• jerkern / pyParticleEst
  Python Library for Particle based estimation methods
  ☆63Updated 6 years ago
• SheffieldML / vargplvm
  Bayesian GPLVM in MATLAB and R
  ☆74Updated 7 years ago
• SheffieldML / ChainedGP
  Repository for Chained Gaussian Processes
  ☆14Updated 9 years ago
• jluttine / variational-bayes-book
  Open access book on variational Bayesian methods written collaboratively
  ☆28Updated 9 years ago
• SimonDu / CUR-matrix-decomposition
  A matlab library for CUR matrix decomposition
  ☆26Updated 7 years ago
• murphyk / matlabtools
  Matlab tools (from code.google.com/p/matlabtools/)
  ☆14Updated 11 years ago
• tbroderick / bnp_tutorial
  ☆29Updated 7 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 7 years ago
• avehtari / BDA_m_demos
  Bayesian Data Analysis demos for Matlab/Octave
  ☆63Updated 5 years ago
• rmgarnett / gpml_extensions
  Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.
  ☆31Updated 8 years ago
• wangshusen / RandMatrixMatlab
  simple MATLAB code for randomized matrix computation
  ☆23Updated 9 years ago
• anhncs / Probabilistic-Graphical-Models
  Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
  ☆104Updated 12 years ago
• rgiordan / LinearResponseVariationalBayesNIPS2015
  Code and text for our NIPS 2015 paper on linear response variational Bayes
  ☆19Updated 7 years ago
• gpschool / gpss17
  Gaussian Process and Uncertainty Quantification Summer School 2017
  ☆26Updated 2 years ago
• ubcmatlabguide / ubcmatlabguide.github.io
  YAGTOM: Yet Another Guide TO Matlab
  ☆56Updated 11 years ago
• BigBayes / SMS
  Sampling via Moment Sharing
  ☆11Updated 9 years ago
• covartech / PRT
  Pattern Recognition Toolbox for MATLAB
  ☆146Updated 5 years ago
• philipphennig / probabilistic-numerics.org
  This repository houses the code for the community website http://www.probabilistic-numerics.org
  ☆35Updated 4 years ago
• davharris / mcmc-tutorial
  Tutorial introducing Monte Carlo integration and Markov Chain Monte Carlo
  ☆52Updated 12 years ago
• VietTran86 / Copula-Variational-Bayes
  Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…
  ☆52Updated 6 years ago