Alternatives and similar repositories for mcmc-tutorial

Users that are interested in mcmc-tutorial are comparing it to the libraries listed below

• cliburn / sta-663-2015
  Course materials for STA663
  ☆37Updated 9 years ago
• mpearmain / homesite
  Homesite Kaggle
  ☆30Updated 9 years ago
• ptoulis / implicit-sgd
  Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.
  ☆16Updated 11 years ago
• hannawallach / python-lda
  LDA in Python.
  ☆25Updated 11 years ago
• srikris / datascience-bowl
  National Data Science Bowl
  ☆20Updated 10 years ago
• thirdwing / mxnet_shiny
  Image Classification using MXNetR
  ☆56Updated 9 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 6 years ago
• gwulfs / Bastien-Theano-Workshop
  ☆44Updated 10 years ago
• aschein / bptd
  Bayesian Poisson Tucker decomposition
  ☆17Updated 8 years ago
• rezazadeh / spark
  Mirror of Apache Spark
  ☆24Updated 10 years ago
• gelman / ep-stan
  ☆34Updated 5 years ago
• doomie / HessianFree
  An implementation of the Hessian-free optimization algorithm in Theano
  ☆61Updated 14 years ago
• tbroderick / mlss2015_bnp_tutorial
  ☆24Updated 9 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 9 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆71Updated 9 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆67Updated 8 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆83Updated 8 years ago
• INFO-474 / m7-d3-intro
  Module 7: Introduction to D3.js
  ☆21Updated 9 years ago
• instagibbs / FactorizationMachine
  ☆36Updated 10 years ago
• gdanezis / trees
  A quick educational implementation of a random forest classifier and a decsion jungle classifier.
  ☆28Updated 10 years ago
• amirsaffari / online-multiclass-lpboost
  Online Multi-Class LPBoost and Gradient Boosting
  ☆68Updated 11 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 8 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 9 years ago
• RobeDM / LIBIRWLS
  A parallel IRWLS library to solve SVMs and budgeted SVMs
  ☆59Updated 8 years ago
• sancha / CS228T.2012
  The programming assignments from CS228T offered in Spring 2012 at Stanford
  ☆40Updated 13 years ago
• zygmuntz / kaggle-blackbox
  Deep learning made easy
  ☆116Updated 11 years ago
• tbjohns / BlitzL1
  Fast, principled L1-regularized loss minimization
  ☆24Updated last year
• banilo / nips2015
  ☆14Updated 9 years ago
• SheffieldML / ChainedGP
  Repository for Chained Gaussian Processes
  ☆14Updated 9 years ago
• mwhoffman / pygp
  Python package for inference with Gaussian processes
  ☆11Updated 10 years ago