Alternatives and similar repositories for mcmc_runtime_comparison:

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

• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated last year
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆101Updated last week
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆89Updated this week
• rlouf / aex
  Sampling with Blackjax on Aesara
  ☆11Updated last year
• roualdes / bridgestan
  BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
  ☆96Updated this week
• arviz-devs / ArviZ.jl
  Exploratory analysis of Bayesian models with Julia
  ☆108Updated this week
• elanmart / rust-pgbart
  ☆18Updated 2 years ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆57Updated 2 months ago
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆33Updated last year
• pymc-devs / nutpie
  Python wrapper for nuts-rs
  ☆131Updated this week
• StatisticalRethinkingJulia / SR2TuringPluto.jl
  StatisticalRethinking notebook project using Turing and Pluto notebooks (derived from Max Lapan's Jupyter project)
  ☆99Updated 8 months ago
• storopoli / Turing-Workshop
  DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop
  ☆35Updated 3 years ago
• awllee / SequentialMonteCarlo.jl
  A light interface to serial and multi-threaded Sequential Monte Carlo
  ☆31Updated 3 years ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆49Updated 2 months ago
• StatisticalRethinkingJulia / StructuralCausalModels.jl
  Initial look at directed acyclic graph (DAG) based causal models in regression.
  ☆31Updated 10 months ago
• TuringLang / papers
  A Bayesian zoo
  ☆15Updated 4 years ago
• wesselb / varz
  Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX
  ☆23Updated last year
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆64Updated 2 months ago
• kskyten / BayesWorkshop2021
  ☆29Updated 3 years ago
• tjburch / ROS-turing
  Turing.jl port of the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill, and Aki Vehtari
  ☆19Updated 2 years ago
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆185Updated 5 months ago
• theogf / AugmentedGaussianProcesses.jl
  Gaussian Process package based on data augmentation, sparsity and natural gradients
  ☆135Updated 9 months ago
• wd60622 / conjugate
  Bayesian Conjugate Models in Python
  ☆25Updated this week
• WardBrian / scikit-stan
  A sklearn style interface to Stan regression models
  ☆25Updated 3 months ago
• storopoli / Bayesian-Julia
  Bayesian Statistics using Julia and Turing
  ☆166Updated 2 months ago
• gabriuma / basis_functions_approach_to_GP
  ☆53Updated 2 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆70Updated 5 months ago
• aesara-devs / aehmc
  An HMC/NUTS implementation in Aesara
  ☆32Updated last year
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆80Updated this week