murphyk / matlabtools

Related projects ⓘ

Alternatives and complementary repositories for matlabtools

• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 9 years ago
• zi-w / GP-EST
  Bayesian optimization with the Gaussian process assumption
  ☆29Updated 8 years ago
• trungngv / gprn
  Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'
  ☆22Updated 10 years ago
• SimonDu / CUR-matrix-decomposition
  A matlab library for CUR matrix decomposition
  ☆26Updated 7 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆44Updated 4 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆38Updated 7 years ago
• Networks-Learning / l1-ls.py
  L1 regularized Least Squares minimization problem solver.
  ☆17Updated 8 years ago
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆90Updated 3 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 7 years ago
• chengl7 / LonGP
  Gaussian process regression + automatical model selection for logitudinal -omics data
  ☆21Updated 3 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 12 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆49Updated 8 years ago
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 10 years ago
• kd383 / GPML_SLD
  Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)
  ☆18Updated 7 years ago
• PredictiveScienceLab / py-mcmc
  A simple MCMC framework for training Gaussian processes adding functionality to GPy.
  ☆21Updated 9 years ago
• rubinxin / FITBO
  Code for Fast Information-theoretic Bayesian Optimisation
  ☆16Updated 6 years ago
• rmgarnett / gpml_extensions
  Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.
  ☆31Updated 7 years ago
• mp4096 / adawhatever
  MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.
  ☆33Updated 4 years ago
• NICTA / dora
  Nonparametric Active Sampling
  ☆11Updated 6 years ago
• probml / pmtksupport
  Various packages used by PMTK.
  ☆54Updated 5 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…
  ☆50Updated 5 years ago
• mwhoffman / pygp
  Python package for inference with Gaussian processes
  ☆11Updated 9 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 9 years ago
• maziarraissi / ParametricGP-in-Matlab
  Parametric Gaussian Process Regression for Big Data (Matlab Version)
  ☆24Updated 6 years ago
• regreg / regreg
  A multi-algorithm Python framework for regularized regression
  ☆13Updated last year
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• duvenaud / harlemcmc-shake
  Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.
  ☆37Updated 10 years ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 6 years ago
• SheffieldML / ChainedGP
  Repository for Chained Gaussian Processes
  ☆14Updated 8 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 7 years ago