Alternatives and similar repositories for mcmc_visualization_tools

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

• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆88Updated 4 months ago
• betanalpha / quarto_chapters
  Book Chapter Drafts
  ☆36Updated last year
• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆19Updated last year
• arviz-devs / arviz-plots
  ArviZ modular plotting
  ☆19Updated this week
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆32Updated this week
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆156Updated last week
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆46Updated last year
• bambinos / kulprit
  Kullback-Leibler projections for Bayesian model selection in Python
  ☆40Updated 2 weeks ago
• elanmart / rust-pgbart
  ☆18Updated 2 years ago
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆124Updated this week
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆25Updated this week
• fonnesbeck / vi_pydata_virginia_2025
  A Beginner's Guide to Variational Inference
  ☆18Updated 6 months ago
• gabriuma / basis_functions_approach_to_GP
  ☆56Updated 3 years ago
• CDCgov / PyRenew
  Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.
  ☆22Updated last week
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆37Updated last year
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated 8 months ago
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆210Updated 2 months ago
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆36Updated 4 months ago
• dustinstansbury / statistical-rethinking-2023
  Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.
  ☆181Updated last year
• pymc-devs / nutpie
  Python wrapper for nuts-rs
  ☆179Updated this week
• florence-bockting / elicito
  A python package for learning prior distributions based on expert knowledge
  ☆15Updated this week
• avehtari / rhat_ess
  Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
  ☆32Updated 4 years ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆57Updated last month
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆51Updated 8 months ago
• AlexAndorra / advanced-gp-pydata
  Mastering Gaussian Processes with PyMC
  ☆14Updated 2 months ago
• elizavetasemenova / prob-epi
  Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
  ☆70Updated 8 months ago
• roualdes / bridgestan
  BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
  ☆105Updated this week
• py-econometrics / jaxonometrics
  Econometrics on the GPU (and CPU) via JAX
  ☆18Updated 4 months ago
• bob-carpenter / walnuts
  Step size adaptation for the No-U-Turn Sampler
  ☆26Updated this week
• flatironinstitute / mcmc-monitor
  Monitor MCMC runs in the browser
  ☆37Updated last year