Alternatives and similar repositories for mlbop

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

• probml / pmtksupport
  Various packages used by PMTK.
  ☆56Updated 6 years ago
• keskarnitish / minSQN
  Optimization using Stochastic quasi-Newton methods
  ☆42Updated 9 years ago
• ubcmatlabguide / ubcmatlabguide.github.io
  YAGTOM: Yet Another Guide TO Matlab
  ☆57Updated 12 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆39Updated 8 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 8 years ago
• probml / pmtkdata
  A collection of MATLAB data sets used by PMTK.
  ☆57Updated 12 years ago
• cvxgrp / cvx_short_course
  Materials for a short course on convex optimization.
  ☆358Updated 4 months ago
• mp4096 / adawhatever
  MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.
  ☆33Updated 5 years ago
• cvxgrp / proximal
  Sample implementations of proximal operators
  ☆194Updated 12 years ago
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆93Updated 4 years ago
• lacerbi / optimviz
  Visualize optimization algorithms in MATLAB.
  ☆156Updated 3 years ago
• steven2358 / kmbox
  Kernel Methods Toolbox for Matlab/Octave
  ☆52Updated 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
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆67Updated 8 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…
  ☆57Updated 7 years ago
• epfl-lts2 / pyunlocbox
  A Python convex optimization package using proximal splitting methods
  ☆119Updated 4 months ago
• cnel / KernelAdaptiveFiltering
  Kernel Adaptive Filtering: A Comprehensive Introduction
  ☆44Updated 10 years ago
• cvxr / TFOCS
  A MATLAB toolbox for building first-order solvers for convex models.
  ☆142Updated 3 years ago
• zi-w / GP-EST
  Bayesian optimization with the Gaussian process assumption
  ☆30Updated 9 years ago
• covartech / PRT
  Pattern Recognition Toolbox for MATLAB
  ☆146Updated 3 months ago
• tminka / lightspeed
  lightspeed matlab toolbox
  ☆134Updated 4 years ago
• jerkern / pyParticleEst
  Python Library for Particle based estimation methods
  ☆63Updated 7 years ago
• jluttine / variational-bayes-book
  Open access book on variational Bayesian methods written collaboratively
  ☆28Updated 10 years ago
• steven2358 / kafbox
  A Matlab benchmarking toolbox for kernel adaptive filtering
  ☆100Updated 2 years ago
• SheffieldML / GPmat
  Matlab implementations of Gaussian processes and other machine learning tools.
  ☆145Updated 8 years ago
• danyaljj / constrained_clustering
  A MATLAB project containing many popular / existing constrained clustering algorithms
  ☆28Updated 7 years ago
• TENGBINN / Bayes-by-Backprop
  TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper
  ☆51Updated 7 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆51Updated 9 years ago
• marionmari / pyGPs
  pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
  ☆217Updated 7 years ago
• paulorauber / pgm
  Probabilistic graphical models in python
  ☆24Updated 6 years ago