Alternatives and similar repositories for pangolin

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

• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆77Updated last week
• jax-ml / coix
  Inference Combinators in JAX
  ☆50Updated 4 months ago
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆66Updated 11 months ago
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆45Updated last year
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆222Updated 5 months ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆45Updated last year
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆33Updated 2 years ago
• darrenjw / fp-ssc-course
  An introduction to functional programming for scalable statistical computing
  ☆76Updated last year
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 7 months ago
• NeilGirdhar / efax
  Exponential families for JAX
  ☆75Updated last week
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆40Updated last year
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated last year
• JiaYaobo / fenbux
  A Simple Statistical Distribution Library in JAX
  ☆16Updated last year
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆42Updated 2 years ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• martiningram / jax_advi
  ☆16Updated 5 months ago
• aesara-devs / aehmc
  An HMC/NUTS implementation in Aesara
  ☆31Updated 2 years ago
• bob-carpenter / walnuts
  Step size adaptation for the No-U-Turn Sampler
  ☆23Updated last week
• matt-graham / continuously-tempered-hmc
  Continuously tempered Hamiltonian Monte Carlo
  ☆12Updated 8 years ago
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆209Updated last month
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆237Updated last year
• wesselb / stheno
  Gaussian process modelling in Python
  ☆223Updated 9 months ago
• probsys / AutoGP.jl
  Automated Bayesian model discovery for time series data
  ☆82Updated this week
• StannisZhou / mixed_hmc
  ☆12Updated 3 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated last year
• NeilGirdhar / tjax
  Tools for JAX
  ☆49Updated last week
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated last year
• vr308 / Generalised-Gaussian-Processes
  Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
  ☆22Updated 2 years ago
• martiningram / mcmc_runtime_comparison
  Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
  ☆32Updated 2 years ago
• rlouf / aex
  Sampling with Blackjax on Aesara
  ☆11Updated 2 years ago