14 open source projects by blei-lab

Online variational Bayes for latent Dirichlet allocation (LDA)

This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.

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.

This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data.

Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.

Online inference for the Hierarchical Dirichlet Process. Fits hierarchical Dirichlet process topic models to massive data. The algorithm determines the number of topics.

The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).

Implements supervised topic models with a categorical response.

Deep exponential families (DEFs)

Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)

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

Software and data for "Using Text Embeddings for Causal Inference"

Code for the icml paper "zero inflated exponential family embedding"