Alternatives and similar repositories for sampling-book

Users that are interested in sampling-book are comparing it to the libraries listed below

• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆220Updated 3 months ago
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆64Updated 9 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆104Updated last year
• probml / sts-jax
  Structural Time Series in JAX
  ☆199Updated last year
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆41Updated this week
• aesara-devs / aehmc
  An HMC/NUTS implementation in Aesara
  ☆31Updated 2 years ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 5 months ago
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated last year
• darrenjw / fp-ssc-course
  An introduction to functional programming for scalable statistical computing
  ☆75Updated last year
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆276Updated 2 weeks ago
• NeilGirdhar / efax
  Exponential families for JAX
  ☆73Updated this week
• JiaYaobo / fenbux
  A Simple Statistical Distribution Library in JAX
  ☆16Updated last year
• jax-ml / coix
  Inference Combinators in JAX
  ☆50Updated 2 months ago
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆95Updated 3 months ago
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆234Updated last year
• NeilGirdhar / tjax
  Tools for JAX
  ☆49Updated this week
• geraschenko / gmrfs
  Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)
  ☆22Updated last year
• probml / JSL
  Jax SSM Library
  ☆49Updated 2 years ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• canyon289 / ssm_book_club
  ☆17Updated 2 years ago
• rlouf / aex
  Sampling with Blackjax on Aesara
  ☆11Updated 2 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated last year
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆58Updated last month
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆59Updated last year
• SamDuffield / mocat
  All things Monte Carlo, written in JAX.
  ☆31Updated 2 years ago
• danielward27 / flowjax
  ☆177Updated last month
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆32Updated 2 years ago
• bob-carpenter / walnuts
  Step size adaptation for the No-U-Turn Sampler
  ☆19Updated last month
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆100Updated 2 years ago