Alternatives and similar repositories for notes-on-dirichlet-processes:

Users that are interested in notes-on-dirichlet-processes are comparing it to the libraries listed below

• echen / dirichlet-process
  Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
  ☆304Updated 9 years ago
• blei-lab / online-hdp
  Online inference for the Hierarchical Dirichlet Process. Fits hierarchical Dirichlet process topic models to massive data. The algorithm …
  ☆145Updated 9 years ago
• daft-dev / daft
  Render probabilistic graphical models using matplotlib
  ☆677Updated this week
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆697Updated 5 months ago
• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆163Updated 9 years ago
• mila-iqia / summerschool2015
  Slides and exercises for the Deep Learning Summer School 2015 programming tutorials
  ☆389Updated 9 years ago
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆488Updated 7 years ago
• blei-lab / onlineldavb
  Online variational Bayes for latent Dirichlet allocation (LDA)
  ☆304Updated 3 years ago
• glouppe / phd-thesis
  Repository of my thesis "Understanding Random Forests"
  ☆524Updated 8 years ago
• blei-lab / hdp
  Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.
  ☆150Updated 8 years ago
• craffel / theano-tutorial
  A collection of tutorials on neural networks, using Theano
  ☆222Updated 2 years ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 9 years ago
• hal3 / vwnlp
  Solving NLP problems with Vowpal Wabbit: Tutorial and more
  ☆182Updated 9 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆517Updated 3 years ago
• blei-lab / class-slda
  Implements supervised topic models with a categorical response.
  ☆64Updated 3 years ago
• HIPS / Kayak
  Kayak is a library for automatic differentiation with applications to deep neural networks.
  ☆228Updated 7 years ago
• scikit-learn-contrib / polylearn
  A library for factorization machines and polynomial networks for classification and regression in Python.
  ☆245Updated 4 years ago
• CyberPoint / libpgm
  A library for creating and using probabilistic graphical models
  ☆76Updated 7 years ago
• pystruct / pystruct
  Simple structured learning framework for python
  ☆665Updated 3 years ago
• aloctavodia / Doing_bayesian_data_analysis
  Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
  ☆899Updated 3 years ago
• unnati-xyz / intro-to-deep-learning-for-nlp
  The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.
  ☆109Updated 8 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆266Updated 2 years ago
• inf16nyu / home
  ☆77Updated 8 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 6 years ago
• gwtaylor / theano-rnn
  Demonstration of recurrent neural network implemented with Theano
  ☆377Updated 7 years ago
• jmschrei / yahmm
  Yet Another Hidden Markov Model repository.
  ☆248Updated 9 years ago
• strawlab / best
  Bayesian estimation supersedes the t test
  ☆145Updated 3 years ago
• larsmans / seqlearn
  Sequence learning toolkit for Python
  ☆692Updated 2 years ago
• ronojoy / pylearn
  Bayesian machine learning in Python
  ☆76Updated 9 years ago
• jxieeducation / DIY-Data-Science
  Machine Learning Tool Guides and Theory Notes
  ☆423Updated 8 years ago