Alternatives and similar repositories for rust-pgbart

Users that are interested in rust-pgbart are comparing it to the libraries listed below

• skdeshpande91 / flexBART
  Towards a more flexible BART
  ☆22Updated last week
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆31Updated 2 weeks ago
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆34Updated 7 months ago
• flatironinstitute / mcmc-monitor
  Monitor MCMC runs in the browser
  ☆36Updated last year
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 3 years ago
• yao-yl / hierarchical-stacking-code
  code and demo for hierarchical stacking paper
  ☆10Updated 4 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆86Updated 9 years ago
• stan-dev / docs
  Documentation for the Stan language and CmdStan
  ☆39Updated this week
• to-mi / stan-survival-shrinkage
  Bayesian linear survival analysis with shrinkage priors in Stan
  ☆24Updated 9 years ago
• avehtari / casestudies
  ☆30Updated 8 months ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆24Updated this week
• bob-carpenter / case-studies
  Case studies in applied and computational statistics.
  ☆38Updated last month
• gabriuma / basis_functions_approach_to_GP
  ☆56Updated 2 years ago
• hectormz / awesome-bayes
  A curated list of awesome Bayesian statistics blogs and resources
  ☆22Updated last year
• jgabry / stancon2018helsinki_intro
  StanCon2018 Helsinki Tutorial
  ☆30Updated 5 years ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆53Updated this week
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆86Updated 4 months ago
• fonnesbeck / vi_pydata_virginia_2025
  A Beginner's Guide to Variational Inference
  ☆15Updated 2 months ago
• cbergmeir / Rlgt
  Rlgt is an R package for Bayesian Exponential Smoothing
  ☆22Updated 2 months ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆66Updated 4 years ago
• avehtari / rhat_ess
  Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
  ☆32Updated 3 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated 10 months ago
• roualdes / bridgestan
  BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
  ☆102Updated 2 weeks ago
• vincentarelbundock / pymarginaleffects
  ☆71Updated last month
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated 3 months ago
• rmcelreath / cmdstan_map_rect_tutorial
  Beginner tutorial for using cmdstan with multithreading
  ☆62Updated 5 years ago
• martiningram / mcmc_runtime_comparison
  Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
  ☆32Updated 2 years ago
• WardBrian / scikit-stan
  A sklearn style interface to Stan regression models
  ☆25Updated 8 months ago
• betanalpha / quarto_chapters
  Book Chapter Drafts
  ☆33Updated 9 months ago
• bambinos / kulprit
  Kullback-Leibler projections for Bayesian model selection in Python
  ☆36Updated 2 months ago