Alternatives and similar repositories for couplingsmontecarlo

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

• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆32Updated 2 years ago
• YunyiShen / wild-posteriors-in-the-wild
  Posterior with interesting shapes from actually used models
  ☆13Updated 7 months ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆30Updated 3 years ago
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆44Updated last year
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆207Updated 2 weeks ago
• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆19Updated 11 months ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆28Updated 7 years ago
• ColCarroll / couplings
  Unbiased MCMC with couplings
  ☆19Updated 5 years ago
• omaclaren / open-learning-material
  Some teaching material and other educational resources
  ☆41Updated 2 weeks ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated 6 months ago
• martiningram / jax_advi
  ☆16Updated 5 months ago
• alpiges / LinConGauss
  Integrals of Gaussians under linear domain constraints
  ☆14Updated 5 years ago
• ColCarroll / minimc
  Just a little MCMC
  ☆231Updated last year
• gabriuma / basis_functions_approach_to_GP
  ☆56Updated 3 years ago
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆42Updated last month
• roualdes / bridgestan
  BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
  ☆104Updated this week
• aterenin / SparseGaussianProcesses.jl
  A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
  ☆33Updated 5 years ago
• bernarditaried / ZigZag-Sampling-Tutorial
  This tutorial is a basic guide to understanding the Zig-Zag Sampling method. This document is released with the aim of diffusion and shar…
  ☆21Updated 6 years ago
• elizavetasemenova / prob-epi
  Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
  ☆68Updated 6 months ago
• EEA-sensors / parallel-gps
  GPFlow based implementation of temporal parallellization of state space GPs
  ☆15Updated 3 years ago
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆87Updated 2 months ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆75Updated this week
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆77Updated last year
• BasisResearch / millipede
  A library for bayesian variable selection
  ☆30Updated 7 months ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆222Updated 4 months ago
• pierrejacob / winference
  R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)
  ☆28Updated 5 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated last year
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆45Updated last year
• betanalpha / quarto_chapters
  Book Chapter Drafts
  ☆35Updated last year
• chris-nemeth / sgmcmc-review-paper
  The code in this repository follows the paper "Stochastic gradient MCMC"
  ☆26Updated 6 years ago