Alternatives and similar repositories for viabel:

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

• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆30Updated last year
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆191Updated 7 months ago
• YunyiShen / weird-posteriors
  Posterior with interesting shapes from actually used models
  ☆12Updated last month
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆40Updated 4 months ago
• pierrejacob / couplingsmontecarlo
  some scripts for the couplings enthusiasts!
  ☆32Updated 4 years ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆27Updated 6 years ago
• aterenin / SparseGaussianProcesses.jl
  A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
  ☆33Updated 4 years ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 3 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆71Updated 8 months ago
• oxcsml / ML_bazaar
  OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.
  ☆93Updated 3 years ago
• yao-yl / Evaluating-Variational-Inference
  Evaluating variational inference using Pareto-smoothed importance sampling and simulation-based calibration
  ☆12Updated 6 years ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆71Updated 3 weeks ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated 3 weeks ago
• STOR-i / sgmcmc
  sgmcmc: a stochastic gradient MCMC package for R
  ☆29Updated 4 years ago
• ae-foster / dad
  Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
  ☆30Updated 3 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…
  ☆20Updated 5 years ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆72Updated this week
• rgiordan / vittles
  "Variational inference tools to leverage estimator sensitivity."
  ☆16Updated last year
• jax-ml / coix
  Inference Combinators in JAX
  ☆46Updated 5 months ago
• tommasorigon / logisticVB
  Variational inference for Bayesian logistic regression
  ☆13Updated 5 years ago
• alpiges / LinConGauss
  Integrals of Gaussians under linear domain constraints
  ☆13Updated 5 years ago
• jgorham / SteinDiscrepancy.jl
  Practical tools for quantifying how well a sample approximates a target distribution
  ☆27Updated 4 years ago
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆83Updated last month
• gpschool / gpss20
  Gaussian Process and Uncertainty Quantification Summer School 2020
  ☆33Updated 2 years ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• martiningram / jax_advi
  ☆15Updated 3 years ago
• StannisZhou / mixed_hmc
  ☆12Updated 3 years ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆102Updated last year
• roualdes / bridgestan
  BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
  ☆97Updated 3 weeks ago