Alternatives and similar repositories for posteriordb-python:

Users that are interested in posteriordb-python are comparing it to the libraries listed below

• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆129Updated 2 weeks ago
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆98Updated this week
• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆18Updated 6 months ago
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆25Updated last week
• pymc-devs / nutpie
  Python wrapper for nuts-rs
  ☆144Updated last week
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆208Updated this week
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆49Updated 3 weeks ago
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated last year
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• pymc-devs / mcbackend
  A backend for storing MCMC draws.
  ☆17Updated 2 weeks ago
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆65Updated 5 months ago
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆193Updated 8 months ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆30Updated 2 years ago
• GaussianProcessesCambridge / meetup-resources
  Collection of resources from each meetup event
  ☆13Updated 4 years ago
• roualdes / bridgestan
  BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
  ☆99Updated 2 weeks ago
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆84Updated 2 months ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• betanalpha / mcmc_visualization_tools
  Markov Chain Monte Carlo Visualization Tools
  ☆25Updated 2 weeks ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆71Updated 8 months ago
• rlouf / aex
  Sampling with Blackjax on Aesara
  ☆11Updated 2 years ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆73Updated this week
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆55Updated 8 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆102Updated last year
• gabriuma / basis_functions_approach_to_GP
  ☆54Updated 2 years ago
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆306Updated this week
• junpenglao / All-that-likelihood-with-PyMC3
  ☆72Updated 6 years ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆20Updated last week
• pymc-devs / pymc-bart
  ☆107Updated this week
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆232Updated last year
• JakobRobnik / MicroCanonicalHMC
  MCHMC: sampler from an arbitrary differentiable distribution
  ☆72Updated last month