Blei Lab

Repositories

• deconfounder_public
  Jupyter Notebook GPL-3.0 0 2 1 0 Updated Jul 31, 2020

• deconfounder_tutorial
  Jupyter Notebook MIT 14 53 1 0 Updated Apr 3, 2020

• causal-text-embeddings

  Software and data for "Using Text Embeddings for Causal Inference"
  Python MIT 10 80 2 0 Updated Mar 5, 2020

• edward

  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

  data-science machine-learning statistics deep-learning tensorflow bayesian-methods neural-networks
  Jupyter Notebook 776 4,546 184 35 Updated Oct 22, 2019

• variational-smc

  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  Python MIT 8 37 0 0 Updated Apr 29, 2019

• class-slda

  Implements supervised topic models with a categorical response.
  C++ GPL-2.0 16 57 3 1 Updated Jun 26, 2018

• deep-exponential-families

  Deep exponential families (DEFs)
  C++ 11 53 0 0 Updated Feb 7, 2018

• dtm

  This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.
  Shell GPL-2.0 67 150 5 0 Updated Dec 12, 2017

• context-selection-embedding

  Context Selection for Embedding Models
  Python 12 25 0 0 Updated Nov 2, 2017

• zero-inflated-embedding

  Code for the icml paper "zero inflated exponential family embedding"
  Python 10 27 0 0 Updated Nov 2, 2017

• factorial-network-models

  Discussion of Durante et al for JSM 2017. Includes factorial network model generalization.
  Jupyter Notebook 4 7 0 0 Updated Aug 14, 2017

• publications

  The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).
  TeX 11 72 0 0 Updated Apr 25, 2017

• ars-reparameterization

  Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)
  Jupyter Notebook MIT 8 30 1 0 Updated Apr 25, 2017

• tmv

  Forked from ajbc/tmv

  topic model visualization
  Python GPL-3.0 28 18 0 0 Updated Mar 31, 2017

• Riken_tutorial
  Jupyter Notebook 1 4 0 0 Updated Mar 8, 2017

• hdp

  Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.
  C++ GPL-2.0 45 135 5 0 Updated Feb 21, 2017

• embvis

  Tool for visualizing and browsing over data point embeddings
  JavaScript 0 0 0 0 Updated Nov 8, 2016

• onlineldavb

  Online variational Bayes for latent Dirichlet allocation (LDA)
  Python GPL-3.0 79 220 2 0 Updated Oct 11, 2016

• lda-c

  This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data.
  C LGPL-2.1 87 135 5 0 Updated Jun 9, 2016

• DynamicPoissonFactorization

  Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time according to user-item ratings.
  C++ GPL-3.0 28 44 0 0 Updated Feb 22, 2016

• expo-mf

  Forked from dawenl/expo-mf

  Exposure Matrix Factorization: modeling user exposure in recommendation
  Jupyter Notebook 40 4 0 0 Updated Feb 15, 2016

• ctr

  Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend items to users based on item content and other users' ratings.
  C++ GPL-2.0 41 140 2 0 Updated Aug 19, 2015

• turbotopics

  Turbo topics find significant multiword phrases in topics.
  Python 9 42 0 0 Updated Jun 16, 2015

• lda-bump-cpp

  Forked from akucukelbir/lda-bump-cpp

  Latent Dirichlet allocation (LDA) with bumping variational inference.
  C++ GPL-2.0 4 10 0 0 Updated Jun 8, 2015

• tmve

  Forked from ajbc/tmve-original

  create a browser of a corpus using a topic model; original TMVE implementation (static pages)
  Python 15 8 0 0 Updated May 21, 2015

• online-hdp

  Online inference for the Hierarchical Dirichlet Process. Fits hierarchical Dirichlet process topic models to massive data. The algorithm determines the number of topics.
  Python GPL-2.0 48 124 4 0 Updated Mar 29, 2015

• collabtm

  Forked from premgopalan/collabtm

  collaborative topic modeling
  C++ GPL-3.0 30 9 0 0 Updated Dec 31, 2014

• diln

  This implements the discrete infinite logistic normal, a Bayesian nonparametric topic model that finds correlated topics.
  C LGPL-2.1 3 6 0 0 Updated Oct 9, 2014

• hlda

  This implements hierarchical latent Dirichlet allocation, a topic model that finds a hierarchy of topics. The structure of the hierarchy is determined by the data.
  JavaScript 21 71 0 0 Updated Oct 5, 2014

• ctm-c

  This implements variational inference for the correlated topic model.
  C 5 18 0 0 Updated Oct 5, 2014