Alternatives and similar repositories for bayesian-analysis-recipes:

Users that are interested in bayesian-analysis-recipes are comparing it to the libraries listed below

• ericmjl / bayesian-stats-modelling-tutorial
  How to do Bayesian statistical modelling using numpy and PyMC3
  ☆664Updated 2 years ago
• JWarmenhoven / DBDA-python
  Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
  ☆679Updated 3 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆230Updated 3 years ago
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 6 years ago
• aloctavodia / Statistical-Rethinking-with-Python-and-PyMC3
  Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
  ☆852Updated 4 years ago
• aloctavodia / Doing_bayesian_data_analysis
  Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
  ☆900Updated 3 years ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆328Updated 4 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆228Updated 4 years ago
• bambinos / bambi
  BAyesian Model-Building Interface (Bambi) in Python.
  ☆1,153Updated 2 weeks ago
• aloctavodia / BAP
  Bayesian Analysis with Python (Second Edition)
  ☆663Updated last year
• pymc-devs / pymc4
  (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.
  ☆710Updated 3 years ago
• AllenDowney / BayesMadeSimple
  Code for a tutorial on Bayesian Statistics by Allen Downey.
  ☆351Updated 4 years ago
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆271Updated 3 years ago
• gbosquechacon / statrethink_course_in_pymc3
  Statistical Rethinking course in pymc3
  ☆143Updated 4 years ago
• parsing-science / pymc3_models
  ☆158Updated 2 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆166Updated 4 years ago
• ericmjl / bayesian-deep-learning-demystified
  In which I try to demystify the fundamental concepts behind Bayesian deep learning.
  ☆123Updated 7 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆126Updated 5 years ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆315Updated 2 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆156Updated 5 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆287Updated 2 weeks ago
• avehtari / BDA_py_demos
  Bayesian Data Analysis demos for Python
  ☆1,012Updated last year
• pymc-devs / pymc-resources
  PyMC educational resources
  ☆2,005Updated 4 months ago
• dabl / dabl
  Data Analysis Baseline Library
  ☆727Updated 4 months ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆323Updated 2 weeks ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆267Updated 2 years ago
• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆456Updated last year
• stan-dev / pystan2
  PyStan, the Python interface to Stan
  ☆926Updated 4 years ago
• daft-dev / daft
  Render probabilistic graphical models using matplotlib
  ☆678Updated last week