Alternatives and similar repositories for PSIS

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

• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆82Updated 5 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated 11 months ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 6 years ago
• eth-cscs / abcpy
  ABCpy package
  ☆114Updated last year
• elfi-dev / elfi
  ELFI - Engine for Likelihood-Free Inference
  ☆276Updated 2 months ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆61Updated 8 years ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆55Updated 3 weeks ago
• JingyuHe / XBART
  ☆92Updated 7 months ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated 2 years ago
• ColCarroll / minimc
  Just a little MCMC
  ☆227Updated last year
• ebonilla / AutoGP
  Code for AutoGP
  ☆27Updated 5 years ago
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆202Updated last month
• junpenglao / All-that-likelihood-with-PyMC3
  ☆73Updated 6 years ago
• lee-group-cmu / RFCDE
  Random Forests for Conditional Density Estimation
  ☆42Updated 4 years ago
• STOR-i / sgmcmc
  sgmcmc: a stochastic gradient MCMC package for R
  ☆29Updated 4 years ago
• jonsedar / pymc3_vs_pystan
  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…
  ☆127Updated 9 years ago
• sinhrks / stan-statespace
  Stan models for state space time series
  ☆145Updated 8 years ago
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 7 years ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• to-mi / gp-demo-js
  Gaussian process regression demo in Javascript
  ☆36Updated 7 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
• glmgen / glmgen
  Generalized lasso implementations
  ☆46Updated 9 months ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆49Updated last year
• HIPS / pgmult
  Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation
  ☆61Updated 4 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆32Updated 2 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆86Updated 9 years ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆32Updated 10 years ago