Alternatives and similar repositories for PSIS

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

• elfi-dev / elfi
  ELFI - Engine for Likelihood-Free Inference
  ☆277Updated 4 months ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 6 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated last year
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated 2 years ago
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆83Updated 5 years ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆55Updated 2 weeks ago
• eth-cscs / abcpy
  ABCpy package
  ☆116Updated last year
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆73Updated 7 years ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆30Updated 3 years ago
• ColCarroll / minimc
  Just a little MCMC
  ☆231Updated last year
• JingyuHe / XBART
  ☆92Updated 9 months ago
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆209Updated last month
• STOR-i / sgmcmc
  sgmcmc: a stochastic gradient MCMC package for R
  ☆30Updated 4 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆268Updated 3 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
• ebonilla / AutoGP
  Code for AutoGP
  ☆27Updated 6 years ago
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆87Updated 2 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆85Updated 9 years ago
• ColCarroll / ppl-api
  A comparison of PPL APIs
  ☆27Updated 6 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆50Updated last year
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 8 years ago
• lee-group-cmu / RFCDE
  Random Forests for Conditional Density Estimation
  ☆42Updated 4 years ago
• pierrejacob / couplingsmontecarlo
  some scripts for the couplings enthusiasts!
  ☆32Updated 5 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 7 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago
• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆19Updated 11 months ago
• sinhrks / stan-statespace
  Stan models for state space time series
  ☆146Updated 8 years ago