Alternatives and similar repositories for Probabilistic_Programming_and_Rugby:

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

• springcoil / TutorialPyMCRugby
  My Tutorial for PyData London
  ☆25Updated 9 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• dchudz / pycon2015-kaggle-tutorial
  ☆27Updated 10 years ago
• twiecki / pymc3_talk
  Bayesian Analysis in PyMC3.
  ☆79Updated 10 years ago
• cambridgecoding / pydata-tutorial
  Files for London PyData London, 2015
  ☆15Updated 9 years ago
• christophebourguignat / kaggle
  ☆8Updated 10 years ago
• amueller / advanced_git_nyu_2016
  Advanced git and github course material
  ☆39Updated 7 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 7 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
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• lmc2179 / pysterior
  Bayesian supervised learning in Python
  ☆21Updated 9 years ago
• rhiever / webstep-sklearn-quickstart
  Scikit-learn quickstart tutorial for Webstep
  ☆19Updated 7 years ago
• mvaz / osqf2015
  ☆25Updated 9 years ago
• RJT1990 / PyData2016-SanFrancisco
  A Tour of Time Series Analysis
  ☆23Updated 8 years ago
• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 10 years ago
• erikson84 / BayesDataAnalysisWithPyMC
  Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
  ☆64Updated 8 years ago
• chdoig / dss-scaling-tutorial
  ☆28Updated 8 years ago
• manugarri / pydata_2016_talk_recommenders
  PyData Madrid 2016 material for the talk: A Primer to recommendation Systems
  ☆37Updated 9 years ago
• amueller / scikit-learn-interactive-tutorial
  IPython notebooks and data an interactive scikit-learn tutorial.
  ☆53Updated 10 years ago
• jonsedar / tsne_presentation
  Quick & dirty repo for hosting the Notebook for t-SNE presentation at delivered at Python Quants and PyData London meetups
  ☆9Updated 9 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• bugra / pydata-dal-2015
  Pydata Dallas 2015 Scikit-Learn Tutorial
  ☆62Updated 10 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 7 years ago
• posterior / distributions
  Low-level primitives for collapsed Gibbs sampling in python and C++
  ☆16Updated last year
• tfolkman / learningwithdata
  Code for Learning with Data Blog
  ☆65Updated 8 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• T-002 / pycast
  Python forecasting and smoothing library
  ☆67Updated 5 years ago
• mvaz / PyData2014-Berlin
  Networks meet Finance in Python - July 27 2014
  ☆23Updated 10 years ago
• ChenglongChen / Kaggle_The_Hunt_for_Prohibited_Content
  4th Place Solution for The Hunt for Prohibited Content Competition on Kaggle (http://www.kaggle.com/c/avito-prohibited-content)
  ☆28Updated 10 years ago
• pymc-devs / uq_chapter
  Uncertainty quantification book chapter
  ☆50Updated 9 years ago