Alternatives and similar repositories for Bayesian-Analysis-with-Python-Second-Edition

Users that are interested in Bayesian-Analysis-with-Python-Second-Edition are comparing it to the libraries listed below

• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆161Updated 5 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 7 years ago
• PacktPublishing / Bayesian-Analysis-with-Python
  Bayesian Analysis with Python by Packt
  ☆222Updated 3 years ago
• fonnesbeck / gp_regression
  A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
  ☆165Updated 4 years ago
• aloctavodia / BAP
  Bayesian Analysis with Python (Second Edition)
  ☆676Updated 2 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆234Updated 4 years ago
• junpenglao / PrecisionWorkshop1_Prep
  Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling
  ☆58Updated 7 years ago
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆274Updated 4 years ago
• tensorchiefs / dl_book
  legend
  ☆209Updated 2 years ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆120Updated 2 years ago
• SimonOuellette35 / Introduction_to_PyMC3
  ☆39Updated 7 years ago
• BayesianModelingandComputationInPython / BookCode_Edition1
  ☆561Updated last year
• aloctavodia / BAP3
  Figures and code examples from Bayesian Analysis with Python (third edition)
  ☆233Updated 5 months ago
• Joseph94m / MCMC
  Implementation of Markov Chain Monte Carlo in Python from scratch
  ☆226Updated 5 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆231Updated 2 years ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆73Updated 7 years ago
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆363Updated 2 weeks ago
• zacharyaanglin / ProbabilisticDeepLearningTensorFlow
  Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how
  ☆72Updated 6 years ago
• cliburn / sta-663-2020
  ☆45Updated 5 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆54Updated 3 years ago
• alexandrahotti / Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert
  My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.
  ☆75Updated last year
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆96Updated last year
• ericmjl / bayesian-analysis-recipes
  A collection of Bayesian data analysis recipes using PyMC3
  ☆561Updated 2 years ago
• MikeS96 / bayes_statististics
  Bayesian Statistics MOOC by Coursera - Solutions in Python
  ☆32Updated last year
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 5 months ago
• ericmjl / bayesian-stats-modelling-tutorial
  How to do Bayesian statistical modelling using numpy and PyMC3
  ☆672Updated 3 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆232Updated 5 years ago
• phdinds-aim / time_series_handbook
  ☆180Updated 3 years ago
• parsing-science / pymc3_models
  ☆160Updated 3 years ago
• pymc-devs / pymc-bart
  ☆134Updated last week