Alternatives and similar repositories for brmp

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

• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated last year
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆57Updated 3 weeks ago
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆211Updated 3 months ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆64Updated 10 months ago
• elanmart / rust-pgbart
  ☆18Updated 2 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆78Updated last year
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 7 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆25Updated last week
• bambinos / educational-resources
  Educational resources
  ☆105Updated 4 years ago
• 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 last week
• adamhaber / stan2tfp
  stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…
  ☆25Updated 3 years ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆51Updated 8 months ago
• omarfsosa / tech-talk-hierarchical-models
  ☆42Updated 3 years ago
• pymc-devs / nutpie
  Python wrapper for nuts-rs
  ☆180Updated this week
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated 9 months ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆83Updated 9 years ago
• bob-carpenter / comp-inference-reading
  Home for the computational inference reading group.
  ☆17Updated 5 years ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆79Updated this week
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆30Updated 3 years ago
• bob-carpenter / walnuts
  Step size adaptation for the No-U-Turn Sampler
  ☆26Updated last week
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆32Updated last week
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆46Updated last month
• IBM / yaps
  A surface language for programming Stan models using python syntax
  ☆45Updated 6 years ago
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆160Updated this week
• ColCarroll / ppl-api
  A comparison of PPL APIs
  ☆27Updated 6 years ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆73Updated 7 years ago
• fonnesbeck / vi_pydata_virginia_2025
  A Beginner's Guide to Variational Inference
  ☆18Updated 7 months ago