Alternatives and similar repositories for matlabtools:

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

• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 9 years ago
• michaelchughes / NPBayesHMM
  Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…
  ☆79Updated 7 years ago
• zi-w / GP-EST
  Bayesian optimization with the Gaussian process assumption
  ☆30Updated 8 years ago
• Networks-Learning / l1-ls.py
  L1 regularized Least Squares minimization problem solver.
  ☆17Updated 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…
  ☆51Updated 6 years ago
• chengl7 / LonGP
  Gaussian process regression + automatical model selection for logitudinal -omics data
  ☆21Updated 3 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 7 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆38Updated 7 years ago
• regreg / regreg
  A multi-algorithm Python framework for regularized regression
  ☆13Updated last year
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆50Updated 8 years ago
• probml / pmtksupport
  Various packages used by PMTK.
  ☆54Updated 5 years ago
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆91Updated 3 years ago
• robertsychen / RobustOptimization
  Code associated with "Robust Optimization for Non-Convex Objectives" (R. Chen, B. Lucier, Y. Singer, V. Syrgkanis). NIPS 2017. https://ar…
  ☆21Updated 7 years ago
• NICTA / dora
  Nonparametric Active Sampling
  ☆11Updated 6 years ago
• jerkern / pyParticleEst
  Python Library for Particle based estimation methods
  ☆61Updated 6 years ago
• alnurali / cvxstoc
  Disciplined convex stochastic programming. For the cvxstoc home page, please see:
  ☆31Updated 4 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆44Updated 5 years ago
• danilkuzin / GP-EnKF
  Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…
  ☆17Updated 6 years ago
• dswah / sgcrfpy
  SGCRFpy: Sparse Gaussian Conditional Random Fields in Python
  ☆29Updated 8 years ago
• PredictiveScienceLab / py-mcmc
  A simple MCMC framework for training Gaussian processes adding functionality to GPy.
  ☆21Updated 10 years ago
• SimonDu / CUR-matrix-decomposition
  A matlab library for CUR matrix decomposition
  ☆26Updated 7 years ago
• SheffieldML / ChainedGP
  Repository for Chained Gaussian Processes
  ☆14Updated 8 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 12 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 9 years ago
• ubcmatlabguide / ubcmatlabguide.github.io
  YAGTOM: Yet Another Guide TO Matlab
  ☆56Updated 11 years ago
• HIPS / DESI-MCMC
  MCMC for the Dark Energy Spectroscopic Instrument
  ☆13Updated 8 years ago
• keskarnitish / minSQN
  Optimization using Stochastic quasi-Newton methods
  ☆43Updated 8 years ago
• mattjj / pyhsmm-factorial
  ☆18Updated 11 years ago
• teodor-moldovan / dpcluster
  Efficient Dirichlet process clustering
  ☆26Updated 11 years ago
• wesm / statlib
  Bayesian State Space and Dynamic Models
  ☆35Updated 13 years ago