Alternatives and similar repositories for ep-stan:

Users that are interested in ep-stan are comparing it to the libraries listed below

• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated 11 months ago
• glmgen / glmgen
  Generalized lasso implementations
  ☆46Updated 3 months ago
• strongh / stark
  Experimenting with Stan on Spark for distributed MCMC
  ☆28Updated 7 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆84Updated 8 years ago
• STOR-i / sgmcmc
  sgmcmc: a stochastic gradient MCMC package for R
  ☆28Updated 4 years ago
• bikestra / bdapy
  Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python
  ☆45Updated 9 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 8 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆75Updated 10 months ago
• rtrangucci / gps_in_stan
  ☆12Updated 7 years ago
• ryantibs / genlasso
  Path algorithm for generalized lasso problems
  ☆32Updated 2 years ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 6 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• khakieconomics / MSW
  Files for Modern Statistical Workflow workshop
  ☆10Updated 8 years ago
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆82Updated 4 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 6 years ago
• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 7 years ago
• rgiordan / CovariancesRobustnessVBPaper
  ☆11Updated last year
• nanw16 / RstanWorkflow
  We would like create Bayesian workflows following "A quick-start introduction to Stan for economists" by Jim Savage for all example model…
  ☆16Updated 7 years ago
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 4 years ago
• hannawallach / dpmm
  Dirichlet process mixture model.
  ☆26Updated 10 years ago
• itsrainingdata / sparsebn
  Software for learning sparse Bayesian networks
  ☆43Updated 4 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 5 years ago
• dadaromeo / recsys-hpf
  Movies Recommendation with Hierarchical Poisson Factorization in Edward
  ☆18Updated 7 years ago
• tbroderick / streaming_vb
  This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…
  ☆41Updated 10 years ago
• stokasto / sgmcmc
  Stochastic Gradient MCMC algorithms implemented in theano (and autograd)
  ☆10Updated 8 years ago
• rgiordan / LinearResponseVariationalBayesNIPS2015
  Code and text for our NIPS 2015 paper on linear response variational Bayes
  ☆19Updated 7 years ago
• ajbc / lda-svi
  an implementation of latent Dirichlet allocation (LDA) with stochastic variational inference
  ☆20Updated 7 years ago
• mwhoffman / pygp
  Python package for inference with Gaussian processes
  ☆11Updated 9 years ago
• ptoulis / implicit-sgd
  Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.
  ☆16Updated 10 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆48Updated 10 months ago