Alternatives and similar repositories for minimc

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

• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆230Updated last month
• rlouf / mcx
  Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
  ☆330Updated last year
• elfi-dev / elfi
  ELFI - Engine for Likelihood-Free Inference
  ☆276Updated 2 months ago
• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆132Updated 4 years ago
• eth-cscs / abcpy
  ABCpy package
  ☆114Updated last year
• wesselb / stheno
  Gaussian process modelling in Python
  ☆223Updated 6 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆104Updated last year
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆238Updated 5 months ago
• pyprob / pyprob
  A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
  ☆390Updated last year
• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆460Updated 2 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.
  ☆233Updated last year
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆57Updated 11 months ago
• mcleonard / sampyl
  MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
  ☆339Updated 2 years ago
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆236Updated last year
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆452Updated last week
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆53Updated 3 years ago
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆313Updated this week
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆219Updated 2 months ago
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated last month
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated 8 months ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆97Updated 5 months ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆100Updated 2 years ago
• chi-feng / gp-demo
  Gaussian Process Regression Interactive Javascript Demo
  ☆55Updated 6 years ago
• jamesrobertlloyd / gp-structure-search
  ☆236Updated 8 years ago
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆64Updated 8 months ago
• Joshuaalbert / jaxns
  Probabilistic Programming and Nested sampling in JAX
  ☆187Updated last week
• pyro-ppl / funsor
  Functional tensors for probabilistic programming
  ☆241Updated last year
• dfm / gp
  A tutorial about Gaussian process regression
  ☆188Updated 4 years ago
• duvenaud / phd-thesis
  I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth
  ☆185Updated 11 years ago
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆130Updated 10 months ago