Alternatives and similar repositories for bayes-kit:

Users that are interested in bayes-kit are comparing it to the libraries listed below

• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆18Updated 6 months ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆73Updated this week
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆30Updated 2 years ago
• rlouf / aex
  Sampling with Blackjax on Aesara
  ☆11Updated 2 years ago
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated last year
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆65Updated 5 months ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆49Updated 3 weeks ago
• martiningram / mcmc_runtime_comparison
  Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
  ☆32Updated 2 years ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆208Updated this week
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆98Updated this week
• elizavetasemenova / prob-epi
  Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
  ☆61Updated last month
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated last month
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆193Updated 8 months ago
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆25Updated last week
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆40Updated 5 months ago
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆84Updated last month
• roualdes / bridgestan
  BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
  ☆99Updated 2 weeks ago
• hectormz / awesome-bayes
  A curated list of awesome Bayesian statistics blogs and resources
  ☆22Updated last year
• martiningram / jax_advi
  ☆15Updated last week
• aesara-devs / aehmc
  An HMC/NUTS implementation in Aesara
  ☆32Updated last year
• onnela-lab / gptools
  Gaussian processes on graphs and lattices in Stan.
  ☆16Updated 3 weeks ago
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆43Updated last year
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆20Updated last week
• elanmart / rust-pgbart
  ☆18Updated 2 years ago
• pymc-devs / nutpie
  Python wrapper for nuts-rs
  ☆144Updated last week
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆50Updated last month
• betanalpha / quarto_chapters
  Book Chapter Drafts
  ☆29Updated 7 months ago
• gabriuma / basis_functions_approach_to_GP
  ☆54Updated 2 years ago
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆129Updated 2 weeks ago
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆55Updated 8 months ago