Alternatives and similar repositories for vargplvm:

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

• SheffieldML / vargplvm
  Bayesian GPLVM in MATLAB and R
  ☆73Updated 7 years ago
• earcher / vilds
  Black box variational inference for state space models
  ☆1Updated 8 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 9 years ago
• slinderman / thesis
  My PhD Thesis
  ☆22Updated 8 years ago
• mattjj / pyslds
  ☆94Updated 6 years ago
• KamitaniLab / VBCCA
  Variational Bayesian Canonical Correlation Analysis
  ☆30Updated 8 years ago
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 10 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 7 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆66Updated 7 years ago
• arolet / wasserstein-dictionary-learning
  A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
  ☆32Updated 8 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• rmgarnett / gpml_extensions
  Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.
  ☆31Updated 7 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆38Updated 7 years ago
• slinderman / theano_pyglm
  Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…
  ☆44Updated 10 years ago
• mijungi / lllvm
  ☆16Updated 9 years ago
• LCSL / FALKON_paper
  FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"
  ☆29Updated 4 years ago
• RogerFrigola / VGPSSM
  Variational Gaussian Process State-Space Models
  ☆23Updated 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
• davmre / gprf
  Gaussian Process Random Fields
  ☆21Updated 9 years ago
• ssydasheng / Neural-Kernel-Network
  Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
  ☆71Updated 6 years ago
• thangbui / deepGP_approxEP
  see https://github.com/thangbui/geepee for a faster implementation
  ☆37Updated 7 years ago
• lawrennd / fgplvm
  Faster GP-LVM software in MATLAB.
  ☆31Updated 3 years ago
• epfl-lts2 / pyunlocbox
  A Python convex optimization package using proximal splitting methods
  ☆111Updated last year
• markvdw / GParML
  Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.
  ☆43Updated 11 years ago
• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆36Updated 4 years ago
• duvenaud / warped-mixtures
  Code for density estimation with nonparametric cluster shapes.
  ☆38Updated 8 years ago
• gpapamak / epsilon_free_inference
  Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"
  ☆31Updated 5 years ago
• imurray / chol-rev
  Backpropagate derivatives through the Cholesky decomposition
  ☆58Updated 4 years ago
• Simon-Lacoste-Julien / linearFW
  Frank-Wolfe optimization variants with a linear convergence rate
  ☆20Updated 8 years ago
• ahwillia / tensor-demo
  A quickstart guide to tensor decomposition
  ☆70Updated 2 years ago