Alternatives and similar repositories for MCMC

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

• PacktPublishing / Bayesian-Analysis-with-Python-Second-Edition
  Bayesian Analysis with Python - Second Edition, published by Packt
  ☆138Updated 5 years ago
• wiseodd / MCMC
  Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
  ☆390Updated 8 years ago
• PredictiveScienceLab / uq-course
  Introduction to Uncertainty Quantification
  ☆258Updated 3 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆161Updated 5 years ago
• tensorchiefs / dl_book
  legend
  ☆209Updated 2 years ago
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 7 months ago
• fonnesbeck / gp_regression
  A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
  ☆165Updated 4 years ago
• dfm / gp
  A tutorial about Gaussian process regression
  ☆193Updated 5 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 7 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆234Updated 4 years ago
• aloctavodia / BAP
  Bayesian Analysis with Python (Second Edition)
  ☆676Updated 2 years ago
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆90Updated 4 years ago
• PacktPublishing / Bayesian-Analysis-with-Python
  Bayesian Analysis with Python by Packt
  ☆222Updated 3 years ago
• pat-hanbury / MonteCarloTutorial
  Repo to supplement my tutorial on Monte Carlo Simulations and Importance Sampling
  ☆76Updated 7 years ago
• zacharyaanglin / ProbabilisticDeepLearningTensorFlow
  Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how
  ☆72Updated 6 years ago
• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆131Updated 5 years ago
• LRydin / KramersMoyal
  kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
  ☆75Updated last year
• gdroguski / GaussianProcesses
  Python3 project applying Gaussian process regression for forecasting stock trends
  ☆159Updated 7 years ago
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆183Updated 8 months ago
• sydney-machine-learning / Bayesianneuralnetworks-MCMC-tutorial
  Bayesian neural networks via MCMC: tutorial
  ☆61Updated last year
• springer-math / dynamical-systems-with-applications-using-python
  Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch
  ☆160Updated 7 years ago
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆365Updated last week
• eth-cscs / abcpy
  ABCpy package
  ☆117Updated 2 weeks ago
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆231Updated 3 years ago
• cliburn / sta-663-2018
  ☆75Updated 6 years ago
• tonyshardlow / PICSPDE
  Python codes for Introduction to Computational Stochastic PDE
  ☆49Updated last month
• BayesianModelingandComputationInPython / BookCode_Edition1
  ☆561Updated last year
• Priesemann-Group / covid_bayesian_mcmc
  Bayesian Markov Chain Monte Carlo Forecast for COVID-19
  ☆41Updated 5 years ago
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆236Updated last month
• pafoster / path_signatures_introduction
  A Brief Introduction to Path Signatures for Machine Learning Practitioners
  ☆56Updated 4 years ago