Alternatives and similar repositories for statistical-rethinking-2023

Users that are interested in statistical-rethinking-2023 are comparing it to the libraries listed below

• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆130Updated this week
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆362Updated this week
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆93Updated 6 months ago
• kpjmcg / Statistical-Rethinking-2023-Python-Notes
  Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Ret…
  ☆75Updated 2 years ago
• bambinos / educational-resources
  Educational resources
  ☆105Updated 4 years ago
• pymc-devs / pymc-bart
  ☆134Updated this week
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆161Updated 2 weeks ago
• pymc-devs / nutpie
  Python wrapper for nuts-rs
  ☆182Updated last week
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆90Updated 4 years ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆97Updated last year
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆36Updated last week
• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆465Updated 8 months ago
• aloctavodia / BAP3
  Figures and code examples from Bayesian Analysis with Python (third edition)
  ☆230Updated 4 months ago
• gbosquechacon / statrethink_course_in_pymc3
  Statistical Rethinking course in pymc3
  ☆144Updated 5 years ago
• BayesianModelingandComputationInPython / BookCode_Edition1
  ☆558Updated last year
• ecotner / statistical-rethinking
  Following along with Statistical Rethinking text on Bayesian modeling by McElreath
  ☆68Updated 5 years ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆52Updated 10 months ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆56Updated 2 months ago
• omarfsosa / tech-talk-hierarchical-models
  ☆42Updated 3 years ago
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆65Updated last month
• fonnesbeck / vi_pydata_virginia_2025
  A Beginner's Guide to Variational Inference
  ☆18Updated 8 months ago
• AlexAndorra / advanced-gp-pydata
  Mastering Gaussian Processes with PyMC
  ☆16Updated 4 months ago
• justinbois / distribution-explorer
  Tool for exploring probability distributions.
  ☆24Updated last year
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆97Updated last year
• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆123Updated 2 weeks ago
• betanalpha / mcmc_visualization_tools
  Markov Chain Monte Carlo Visualization Tools
  ☆25Updated 6 months ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆25Updated last week
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆212Updated 4 months ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆73Updated 7 years ago
• stan-dev / cmdstanpy
  CmdStanPy is a lightweight interface to Stan for Python users which provides the necessary objects and functions to compile a Stan progra…
  ☆188Updated 3 weeks ago