Alternatives and similar repositories for adaptive-hmc:

Users that are interested in adaptive-hmc are comparing it to the libraries listed below

• rlouf / aex
  Sampling with Blackjax on Aesara
  ☆11Updated 2 years ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆30Updated 2 years ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆25Updated last week
• 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
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆86Updated 2 months ago
• elizavetasemenova / prob-epi
  Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
  ☆64Updated 2 months ago
• betanalpha / mcmc_visualization_tools
  Markov Chain Monte Carlo Visualization Tools
  ☆25Updated last week
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated last year
• stan-dev / posteriordb-python
  ☆21Updated 7 months ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆50Updated last month
• MLGlobalHealth / pi-vae
  Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space
  ☆14Updated last year
• pierrejacob / couplingsmontecarlo
  some scripts for the couplings enthusiasts!
  ☆32Updated 4 years ago
• geraschenko / gmrfs
  Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)
  ☆21Updated last year
• JakobRobnik / MicroCanonicalHMC
  MCHMC: sampler from an arbitrary differentiable distribution
  ☆73Updated this week
• elizavetasemenova / PriorVAE
  Code of PriorVAE: encoding spatial priors with variational autoencoders
  ☆12Updated last year
• martiningram / jax_advi
  ☆15Updated 3 weeks ago
• canyon289 / ssm_book_club
  ☆17Updated 2 years ago
• elanmart / rust-pgbart
  ☆18Updated 2 years ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated 2 months ago
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆99Updated this week
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆133Updated this week
• awllee / SequentialMonteCarlo.jl
  A light interface to serial and multi-threaded Sequential Monte Carlo
  ☆31Updated 3 years ago
• roualdes / bridgestan
  BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
  ☆101Updated last week
• YunyiShen / weird-posteriors
  Posterior with interesting shapes from actually used models
  ☆13Updated 2 months ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated 9 months ago
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆33Updated last year
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆50Updated last month
• betanalpha / quarto_chapters
  Book Chapter Drafts
  ☆32Updated 7 months ago