Alternatives and similar repositories for aex:

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

• 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 / aehmc
  An HMC/NUTS implementation in Aesara
  ☆32Updated last year
• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆19Updated 7 months ago
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆65Updated 6 months ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆75Updated this week
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• wesselb / varz
  Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX
  ☆23Updated 2 years ago
• awllee / SequentialMonteCarlo.jl
  A light interface to serial and multi-threaded Sequential Monte Carlo
  ☆31Updated 3 years ago
• elizavetasemenova / PriorVAE
  Code of PriorVAE: encoding spatial priors with variational autoencoders
  ☆12Updated last year
• elizavetasemenova / prob-epi
  Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
  ☆64Updated 2 months ago
• martiningram / jax_advi
  ☆15Updated last month
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆40Updated 6 months ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆30Updated 2 years ago
• bernarditaried / ZigZag-Sampling-Tutorial
  This tutorial is a basic guide to understanding the Zig-Zag Sampling method. This document is released with the aim of diffusion and shar…
  ☆20Updated 5 years ago
• wesselb / mlkernels
  Kernels, the machine learning ones
  ☆14Updated 2 years ago
• probsys / AutoGP.jl
  Automated Bayesian model discovery for time series data
  ☆72Updated 2 months ago
• MLGlobalHealth / pi-vae
  Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space
  ☆14Updated last year
• martiningram / mcmc_runtime_comparison
  Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
  ☆32Updated 2 years ago
• QuantEcon / lecture-jax
  Lectures on Quantitative Economics Using JAX
  ☆37Updated this week
• geraschenko / gmrfs
  Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)
  ☆21Updated last year
• pnkraemer / tornadox
  Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…
  ☆21Updated 9 months ago
• msainsburydale / NeuralEstimators.jl
  Julia package for neural estimation
  ☆21Updated this week
• aseyboldt / covadapt
  Low rank adaptation of covariance matrices for nuts sampling in pymc3
  ☆14Updated 2 years ago
• onnela-lab / gptools
  Gaussian processes on graphs and lattices in Stan.
  ☆17Updated last month
• roualdes / bridgestan
  BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
  ☆101Updated last week
• JiaYaobo / fenbux
  A Simple Statistical Distribution Library in JAX
  ☆16Updated last year
• EEA-sensors / sqrt-parallel-smoothers
  A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…
  ☆12Updated 5 months ago
• elanmart / rust-pgbart
  ☆18Updated 2 years ago
• betanalpha / quarto_chapters
  Book Chapter Drafts
  ☆32Updated 8 months ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆213Updated last week