Alternatives and similar repositories for Bayes_Computing_Course:

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

• ericmjl / bayesian-analysis-recipes
  A collection of Bayesian data analysis recipes using PyMC3
  ☆557Updated last year
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 6 years ago
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆271Updated 3 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆126Updated 5 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆156Updated 5 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆228Updated 4 years ago
• ericmjl / bayesian-stats-modelling-tutorial
  How to do Bayesian statistical modelling using numpy and PyMC3
  ☆664Updated 2 years ago
• gbosquechacon / statrethink_course_in_pymc3
  Statistical Rethinking course in pymc3
  ☆143Updated 4 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆94Updated 6 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• JWarmenhoven / DBDA-python
  Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
  ☆679Updated 3 years ago
• AllenDowney / BayesMadeSimple
  Code for a tutorial on Bayesian Statistics by Allen Downey.
  ☆351Updated 4 years ago
• fonnesbeck / gp_regression
  A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
  ☆165Updated 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
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆166Updated 4 years ago
• AllenDowney / BiteSizeBayes
  An introduction to Bayesian statistics using Python and (coming soon) R.
  ☆131Updated last year
• junpenglao / PrecisionWorkshop1_Prep
  Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling
  ☆58Updated 6 years ago
• ericmjl / bayesian-deep-learning-demystified
  In which I try to demystify the fundamental concepts behind Bayesian deep learning.
  ☆123Updated 7 years ago
• aloctavodia / BAP
  Bayesian Analysis with Python (Second Edition)
  ☆663Updated last year
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated 2 years ago
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆90Updated 4 years ago
• parsing-science / pymc3_models
  ☆158Updated 2 years ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆72Updated 6 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 8 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆267Updated 2 years ago
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆323Updated 2 weeks ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆315Updated 2 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• fehiepsi / rethinking-pyro
  Statistical Rethinking with PyTorch and Pyro
  ☆163Updated 5 years ago