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
  ☆75Updated this week
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆66Updated 10 months ago
• jax-ml / coix
  Inference Combinators in JAX
  ☆50Updated 3 months ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆222Updated 4 months ago
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆40Updated last year
• 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.
  ☆32Updated 2 years ago
• darrenjw / fp-ssc-course
  An introduction to functional programming for scalable statistical computing
  ☆75Updated last year
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆44Updated last year
• NeilGirdhar / efax
  Exponential families for JAX
  ☆73Updated this week
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 6 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated last year
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆42Updated 2 years ago
• aesara-devs / aehmc
  An HMC/NUTS implementation in Aesara
  ☆31Updated 2 years ago
• JiaYaobo / fenbux
  A Simple Statistical Distribution Library in JAX
  ☆16Updated last year
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆207Updated 2 weeks 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
• NeilGirdhar / tjax
  Tools for JAX
  ☆49Updated this week
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated last year
• pyro-ppl / pyroed
  Bayesian optimization of discrete sequences
  ☆21Updated 3 years 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.
  ☆236Updated last year
• wesselb / stheno
  Gaussian process modelling in Python
  ☆223Updated 8 months ago
• ColCarroll / minimc
  Just a little MCMC
  ☆231Updated last year
• pierrejacob / couplingsmontecarlo
  some scripts for the couplings enthusiasts!
  ☆32Updated 5 years ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆55Updated last week
• rlouf / aex
  Sampling with Blackjax on Aesara
  ☆11Updated 2 years ago
• wesselb / varz
  Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX
  ☆23Updated 2 years ago
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆97Updated 4 months ago
• probsys / AutoGP.jl
  Automated Bayesian model discovery for time series data
  ☆80Updated 2 weeks ago