Alternatives and similar repositories for pgsm

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

• rgiordan / CovariancesRobustnessVBPaper
  ☆12Updated 2 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆34Updated 10 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• naesseth / nestedsmc
  Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.
  ☆14Updated 10 years ago
• compops / pmh-tutorial
  Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
  ☆28Updated 6 years ago
• vsmolyakov / DP_means
  Dirichlet Process K-means
  ☆48Updated last year
• mwhoffman / pygp
  Python package for inference with Gaussian processes
  ☆11Updated 10 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 8 years ago
• paul-buerkner / LFO-CV-paper
  ☆14Updated 5 years ago
• renaud / hdp-faster
  Hierarchical Dirichlet Process (with Split-Merge Operations), originally by Chong Wang
  ☆18Updated 11 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• posterior / treecat
  A Bayesian latent tree model of high-dimensional heterogeneous data
  ☆23Updated 8 years ago
• gregversteeg / LinearCorex
  Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…
  ☆43Updated 4 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• HIPS / firefly-monte-carlo
  Implementation of an algorithm for Markov chain Monte Carlo with data subsampling
  ☆32Updated 9 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…
  ☆54Updated 6 years ago
• itsrainingdata / sparsebn
  Software for learning sparse Bayesian networks
  ☆42Updated 5 years ago
• cyianor / smc2017
  Collected code and materials from the intensive course preparing for the workshop on Sequential Monte Carlo (SMC) methods at Uppsala Univ…
  ☆21Updated 7 years ago
• pyro-ppl / sandbox
  Pyro models and misc examples.
  ☆19Updated 4 years ago
• dustinvtran / bayesrl
  A Python library for reinforcement learning using Bayesian approaches
  ☆54Updated 10 years ago
• lendle / SuPyLearner
  An implementation of the SuperLearner algorithm in Python based on scikit-learn.
  ☆25Updated 11 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆39Updated 8 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆50Updated last year
• compops / gpo-smc-abc
  Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
  ☆13Updated 7 years ago
• duvenaud / warped-mixtures
  Code for density estimation with nonparametric cluster shapes.
  ☆39Updated 9 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆85Updated 4 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 8 years ago
• johannbrehmer / simulator-mining-example
  Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…
  ☆33Updated 5 years ago