Alternatives and similar repositories for comp-inference-reading

Users that are interested in comp-inference-reading are comparing it to the libraries listed below

• bob-carpenter / case-studies
  Case studies in applied and computational statistics.
  ☆36Updated this week
• avehtari / rhat_ess
  Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
  ☆31Updated 3 years ago
• adamhaber / stan2tfp
  stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…
  ☆24Updated 3 years ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆50Updated last month
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated 2 months ago
• onnela-lab / gptools
  Gaussian processes on graphs and lattices in Stan.
  ☆17Updated last month
• flatironinstitute / mcmc-monitor
  Monitor MCMC runs in the browser
  ☆36Updated last year
• omaclaren / open-learning-material
  Some teaching material and other educational resources
  ☆41Updated 7 months ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated 9 months ago
• maverickg / stan.vim
  Vim syntax highlighting for Stan (mc-stan.org) modeling lauguage
  ☆16Updated 5 years ago
• martiningram / mcmc_runtime_comparison
  Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
  ☆32Updated 2 years ago
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆34Updated 6 months ago
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆36Updated 4 years ago
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆86Updated 2 months ago
• stan-dev / docs
  Documentation for the Stan language and CmdStan
  ☆39Updated last week
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆27Updated 6 years ago
• WardBrian / scikit-stan
  A sklearn style interface to Stan regression models
  ☆25Updated 7 months ago
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 3 years ago
• gabriuma / basis_functions_approach_to_GP
  ☆54Updated 2 years ago
• mgorinova / SlicStan
  A Stan-like probabilistic programming language.
  ☆68Updated 4 years ago
• ColCarroll / ppl-api
  A comparison of PPL APIs
  ☆27Updated 5 years ago
• seantalts / simulation-based-calibration
  Repo for code from the SBC paper
  ☆24Updated 6 years ago
• elanmart / rust-pgbart
  ☆18Updated 2 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆86Updated 8 years ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆65Updated 4 years ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆30Updated 2 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• bambinos / kulprit
  Kullback-Leibler projections for Bayesian model selection in Python
  ☆34Updated last month
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated 11 months ago