Alternatives and similar repositories for pymc3_talk

Users that are interested in pymc3_talk are comparing it to the libraries listed below

• RJT1990 / PyData2016-SanFrancisco
  A Tour of Time Series Analysis
  ☆23Updated 8 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 7 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 8 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• amueller / advanced_git_nyu_2016
  Advanced git and github course material
  ☆39Updated 7 years ago
• fonnesbeck / scipy2015_tutorial
  Computational Statistics II Tutorial at SciPy 2015
  ☆48Updated 9 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 3 years ago
• pymc-devs / uq_chapter
  Uncertainty quantification book chapter
  ☆50Updated 9 years ago
• springcoil / TutorialPyMCRugby
  My Tutorial for PyData London
  ☆25Updated 9 years ago
• cambridgecoding / pydata-tutorial
  Files for London PyData London, 2015
  ☆15Updated 9 years ago
• jcbozonier / PyData2015
  ☆41Updated 9 years ago
• amueller / ml_meetup_nyc_2016
  Material for Machine Learning Meetup "Machine Learning with Scikit-learn"
  ☆29Updated 9 years ago
• amueller / pydata-nyc-advanced-sklearn
  Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.
  ☆69Updated 10 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 8 years ago
• chendaniely / scipy_2016_notes
  ☆52Updated 8 years ago
• quantopian / Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…
  ☆75Updated 8 years ago
• amueller / pydata-strata-2015
  Slides and notebooks for PyData Strata San Jose
  ☆50Updated 10 years ago
• twiecki / datascientist_tutorial
  ☆53Updated 12 years ago
• jreback / PyDataNYC2015
  PyData NYC 2015 conference
  ☆94Updated 9 years ago
• vmirly / DataScience
  ☆66Updated 2 years ago
• ronojoy / pylearn
  Bayesian machine learning in Python
  ☆76Updated 9 years ago
• aflaxman / pymc-examples
  PyMC Example Notebooks
  ☆74Updated 11 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…
  ☆128Updated 9 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 8 years ago
• sigopt / sigopt-sklearn
  SigOpt wrappers for scikit-learn methods
  ☆75Updated last year
• lmc2179 / pysterior
  Bayesian supervised learning in Python
  ☆21Updated 9 years ago
• bugra / pydata-dal-2015
  Pydata Dallas 2015 Scikit-Learn Tutorial
  ☆62Updated 10 years ago
• jrmontag / mnist-sklearn
  Code and notes from using scikit-learn on the MNIST digits dataset. For more of a narrative on this project, see the article:
  ☆29Updated 9 years ago
• amueller / scikit-learn-interactive-tutorial
  IPython notebooks and data an interactive scikit-learn tutorial.
  ☆53Updated 10 years ago