Alternatives and similar repositories for aeppl:

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

• aesara-devs / aehmc
  An HMC/NUTS implementation in Aesara
  ☆32Updated 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
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆75Updated this week
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆212Updated this week
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆133Updated this week
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• NeilGirdhar / efax
  Exponential families for JAX
  ☆67Updated last week
• rlouf / aex
  Sampling with Blackjax on Aesara
  ☆11Updated 2 years ago
• pymc-devs / nutpie
  Python wrapper for nuts-rs
  ☆145Updated last week
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 2 months ago
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆99Updated this week
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆40Updated 6 months ago
• darrenjw / fp-ssc-course
  An introduction to functional programming for scalable statistical computing
  ☆74Updated 10 months ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆71Updated 9 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆103Updated last year
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆195Updated this week
• jax-ml / coix
  Inference Combinators in JAX
  ☆47Updated 6 months ago
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆257Updated last week
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆50Updated last month
• NeilGirdhar / tjax
  Tools for JAX
  ☆45Updated 2 weeks ago
• rlouf / mcx
  Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
  ☆330Updated last year
• probsys / AutoGP.jl
  Automated Bayesian model discovery for time series data
  ☆72Updated 2 months ago
• pymc-devs / sunode
  Solve ODEs fast, with support for PyMC
  ☆112Updated 11 months ago
• Joshuaalbert / jaxns
  Probabilistic Programming and Nested sampling in JAX
  ☆177Updated 3 weeks ago
• pymc-devs / mcbackend
  A backend for storing MCMC draws.
  ☆18Updated this week
• SamDuffield / mocat
  All things Monte Carlo, written in JAX.
  ☆30Updated 2 years ago
• SymJAX / SymJAX
  Documentation:
  ☆119Updated last year
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆58Updated 3 months ago
• ASEM000 / kernex
  Stencil computations in JAX
  ☆70Updated last year
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆56Updated 9 months ago