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
  ☆236Updated last month
• elfi-dev / elfi
  ELFI - Engine for Likelihood-Free Inference
  ☆279Updated 8 months ago
• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆131Updated 5 years ago
• eth-cscs / abcpy
  ABCpy package
  ☆117Updated last year
• wesselb / stheno
  Gaussian process modelling in Python
  ☆226Updated last year
• rlouf / mcx
  Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
  ☆329Updated last year
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆241Updated 2 years ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated 2 years ago
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆59Updated last year
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆231Updated this week
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆457Updated 6 months ago
• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆465Updated 8 months ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated last year
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆241Updated 3 months ago
• pyprob / pyprob
  A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
  ☆391Updated last year
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆328Updated last week
• mcleonard / sampyl
  MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
  ☆339Updated 3 years ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆103Updated 2 years ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆108Updated 11 months ago
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆241Updated last year
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆53Updated 3 years ago
• Joshuaalbert / jaxns
  Probabilistic Programming and Nested sampling in JAX
  ☆218Updated last month
• chi-feng / gp-demo
  Gaussian Process Regression Interactive Javascript Demo
  ☆57Updated 7 years ago
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆90Updated 4 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆79Updated last year
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆67Updated last year
• pymc-devs / sunode
  Solve ODEs fast, with support for PyMC
  ☆117Updated last year
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 7 months ago
• undark-lab / swyft
  A system for scientific simulation-based inference at scale.
  ☆164Updated last year
• thomaspinder / GPJax
  Gaussian processes in JAX and Flax.
  ☆574Updated this week