Alternatives and similar repositories for InfiGMM

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

• jacobeisenstein / DPMM
  Dirichlet process mixture model code in Matlab. Sampling and variational.
  ☆71Updated 12 years ago
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆93Updated 4 years ago
• thangbui / deepGP_approxEP
  see https://github.com/thangbui/geepee for a faster implementation
  ☆37Updated 8 years ago
• wangshusen / RandMatrixMatlab
  simple MATLAB code for randomized matrix computation
  ☆23Updated 9 years ago
• peiyunh / mat-vae
  A MATLAB implementation of Auto-Encoding Variational Bayes
  ☆46Updated 8 years ago
• arolet / wasserstein-dictionary-learning
  A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
  ☆32Updated 9 years ago
• shaobohan / VariationalGaussianCopula
  Matlab Code for Variational Gaussian Copula Inference
  ☆16Updated 9 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆44Updated 10 years ago
• mikigom / large-scale-OT-mapping-TF
  Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)
  ☆20Updated 7 years ago
• bertini36 / GMM
  Variational Inference in Gaussian Mixture Model
  ☆60Updated 4 years ago
• pawni / BayesByHypernet
  Code for the paper Implicit Weight Uncertainty in Neural Networks
  ☆65Updated 5 years ago
• mauriziofilippone / deep_gp_random_features
  ☆40Updated 6 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆69Updated 8 years ago
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 11 years ago
• ssydasheng / Neural-Kernel-Network
  Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
  ☆71Updated 7 years ago
• kirthevasank / add-gp-bandits
  Additive Gaussian Process Bandits - version 1.0
  ☆27Updated 8 years ago
• kbatseli / TTr1SVD
  Tensor Train Rank-1 decomposition
  ☆19Updated 6 years ago
• markvdw / convgp
  Convolutional Gaussian processes based on GPflow.
  ☆95Updated 7 years ago
• YingzhenLi / Dropout_BBalpha
  Implementations of the ICML 2017 paper (with Yarin Gal)
  ☆38Updated 7 years ago
• zhegan27 / dpfa_icml2015
  The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"
  ☆19Updated 10 years ago
• mp4096 / adawhatever
  MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.
  ☆33Updated 5 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 8 years ago
• ChunyuanLI / pSGLD
  AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)
  ☆35Updated 7 years ago
• gpeyre / 2016-ICML-gromov-wasserstein
  Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.
  ☆74Updated 9 years ago
• akshaykgupta / SG_MCMC
  Implementation of Stochastic Gradient MCMC algorithms
  ☆41Updated 8 years ago
• rmgarnett / active_learning
  Active learning toolbox for MATLAB
  ☆46Updated 7 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆73Updated 9 years ago
• duvenaud / warped-mixtures
  Code for density estimation with nonparametric cluster shapes.
  ☆39Updated 9 years ago
• cambridge-mlg / sghmc_dgp
  ☆29Updated 6 years ago
• SheffieldML / vargplvm
  Bayesian GPLVM in MATLAB and R
  ☆75Updated 8 years ago