Alternatives and similar repositories for Intro_to_PyMC3

Users that are interested in Intro_to_PyMC3 are comparing it to the libraries listed below

• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 9 years ago
• jonsedar / pymc3_vs_pystan
  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…
  ☆127Updated 9 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆123Updated 3 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
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 7 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆68Updated 8 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 8 years ago
• chrisorm / pydata-2018
  ☆64Updated 7 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆74Updated 6 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 7 months ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆33Updated 10 years ago
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 7 years ago
• tgsmith61591 / skutil
  NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-lear…
  ☆31Updated 7 years ago
• glouppe / notebooks
  Random fiddling stored in notebooks
  ☆22Updated 8 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 8 years ago
• parsing-science / pymc3_models
  ☆160Updated 3 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆83Updated 8 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 7 years ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 7 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 9 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 6 years ago
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆58Updated 3 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 9 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 8 years ago