Alternatives and similar repositories for mcx:

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

• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆457Updated this week
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆65Updated 6 months ago
• pyro-ppl / funsor
  Functional tensors for probabilistic programming
  ☆240Updated last year
• ColCarroll / minimc
  Just a little MCMC
  ☆226Updated 10 months ago
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆257Updated last week
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆212Updated last week
• pymc-devs / nutpie
  Python wrapper for nuts-rs
  ☆145Updated last week
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated 9 months ago
• SymJAX / SymJAX
  Documentation:
  ☆119Updated last year
• blackjax-devs / blackjax
  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
  ☆908Updated last week
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆195Updated last week
• probml / sts-jax
  Structural Time Series in JAX
  ☆190Updated 11 months ago
• elfi-dev / elfi
  ELFI - Engine for Likelihood-Free Inference
  ☆274Updated 9 months ago
• fehiepsi / rethinking-pyro
  Statistical Rethinking with PyTorch and Pyro
  ☆163Updated 5 years ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆103Updated last year
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆307Updated this week
• wesselb / stheno
  Gaussian process modelling in Python
  ☆223Updated 4 months 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.
  ☆231Updated last year
• pyprob / pyprob
  A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
  ☆391Updated 11 months ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆99Updated last year
• google / tree-math
  Mathematical operations for JAX pytrees
  ☆199Updated 5 months ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆75Updated this week
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆133Updated this week
• google-deepmind / distrax
  ☆566Updated this week
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆90Updated 4 years ago
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆507Updated 3 weeks ago
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆230Updated 2 weeks ago
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated last year
• eth-cscs / abcpy
  ABCpy package
  ☆114Updated 11 months ago
• cgarciae / treex
  A Pytree Module system for Deep Learning in JAX
  ☆214Updated 2 years ago