Alternatives and similar repositories for bnt

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

• gpstuff-dev / gpstuff
  GPstuff - Gaussian process models for Bayesian analysis
  ☆175Updated 3 years ago
• wengjn / MatlabDBN
  Dynamic Bayesian Network
  ☆32Updated 13 years ago
• SheffieldML / GPmat
  Matlab implementations of Gaussian processes and other machine learning tools.
  ☆144Updated 8 years ago
• mattjj / pyhsmm
  ☆570Updated 11 months 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
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆704Updated 5 months ago
• PhDP / mlbop
  Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).
  ☆71Updated 7 years ago
• marionmari / pyGPs
  pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
  ☆217Updated 6 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
• eBay / bayesian-belief-networks
  Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python…
  ☆1,139Updated 4 years ago
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆93Updated 4 years ago
• probml / pmtksupport
  Various packages used by PMTK.
  ☆56Updated 6 years ago
• SheffieldML / multigp
  Multiple output Gaussian processes in MATLAB including the latent force model.
  ☆52Updated 10 years ago
• bnpy / bnpy
  Bayesian nonparametric machine learning for Python
  ☆235Updated 2 years ago
• kamperh / bayes_gmm
  Bayesian Gaussian mixture models in Python.
  ☆64Updated 2 years ago
• jamesrobertlloyd / gpss-research
  Kernel structure discovery research code - likely to be unstable
  ☆195Updated 10 years ago
• mattjj / pylds
  some tools for gaussian linear dynamical systems
  ☆90Updated 7 years ago
• jacobeisenstein / DPMM
  Dirichlet process mixture model code in Matlab. Sampling and variational.
  ☆71Updated 13 years ago
• tminka / lightspeed
  lightspeed matlab toolbox
  ☆134Updated 4 years ago
• CyberPoint / libpgm
  A library for creating and using probabilistic graphical models
  ☆75Updated 8 years ago
• jamesrobertlloyd / gp-structure-search
  ☆244Updated 8 years ago
• acerbilab / vbmc
  Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
  ☆232Updated 2 years ago
• ncullen93 / pyBN
  Bayesian Networks in Python
  ☆149Updated 2 years ago
• JamesRitchie / scikit-rvm
  Relevance Vector Machine implementation using the scikit-learn API.
  ☆237Updated 5 months ago
• avehtari / BDA_m_demos
  Bayesian Data Analysis demos for Matlab/Octave
  ☆65Updated 6 years ago
• brian-lau / MatlabStan
  Matlab interface to Stan, a package for Bayesian inference
  ☆86Updated 2 years ago
• yabata / pyrenn
  A Recurrent Neural Network Toolbox for Python and Matlab
  ☆102Updated 5 years ago
• rmgarnett / gpml_extensions
  Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.
  ☆34Updated 8 years ago
• Craigacp / MIToolbox
  Mutual Information functions for C and MATLAB
  ☆144Updated 7 years ago
• rmcantin / bayesopt
  BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
  ☆425Updated 2 years ago