Alternatives and similar repositories for MCMC

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

• wiseodd / MCMC
  Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
  ☆383Updated 7 years ago
• PredictiveScienceLab / uq-course
  Introduction to Uncertainty Quantification
  ☆254Updated 3 years ago
• PacktPublishing / Bayesian-Analysis-with-Python-Second-Edition
  Bayesian Analysis with Python - Second Edition, published by Packt
  ☆134Updated 4 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆160Updated 5 years ago
• tensorchiefs / dl_book
  legend
  ☆209Updated 2 years ago
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 3 months ago
• fonnesbeck / gp_regression
  A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
  ☆165Updated 4 years ago
• pat-hanbury / MonteCarloTutorial
  Repo to supplement my tutorial on Monte Carlo Simulations and Importance Sampling
  ☆75Updated 6 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 7 years ago
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆228Updated 2 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆232Updated 3 years ago
• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆132Updated 4 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
  ☆218Updated 2 years ago
• aloctavodia / BAP
  Bayesian Analysis with Python (Second Edition)
  ☆668Updated 2 years ago
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆345Updated last month
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆239Updated 7 months ago
• GAA-UAM / scikit-fda
  Functional Data Analysis Python package
  ☆333Updated 2 months ago
• wangronin / Bayesian-Optimization
  Bayesian Optimization algorithms with various recent improvements
  ☆100Updated 2 years ago
• BayesianModelingandComputationInPython / BookCode_Edition1
  ☆545Updated last year
• dfm / gp
  A tutorial about Gaussian process regression
  ☆189Updated 5 years ago
• AxelThevenot / Python_Benchmark_Test_Optimization_Function_Single_Objective
  ☆85Updated 2 years ago
• zacharyaanglin / ProbabilisticDeepLearningTensorFlow
  Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how
  ☆72Updated 5 years ago
• leowyy / mcmc-importance-sampling
  Markov Chain Monte Carlo (MCMC) and importance sampling in the context of Bayesian linear regression
  ☆11Updated 7 years ago
• gdroguski / GaussianProcesses
  Python3 project applying Gaussian process regression for forecasting stock trends
  ☆156Updated 7 years ago
• sydney-machine-learning / Bayesianneuralnetworks-MCMC-tutorial
  Bayesian neural networks via MCMC: tutorial
  ☆58Updated 10 months ago
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆232Updated last week
• ireis / PRF
  Probabilistic Random Forest: A machine learning algorithm for noisy datasets
  ☆130Updated last year
• pafoster / path_signatures_introduction
  A Brief Introduction to Path Signatures for Machine Learning Practitioners
  ☆54Updated 4 years ago
• pablormier / yabox
  Yet another black-box optimization library for Python
  ☆138Updated 2 years ago