Ecosyste.ms: Awesome

https://github.com/blei-lab/edward

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

bayesian-methods data-science deep-learning machine-learning neural-networks probabilistic-programming statistics tensorflow

Last synced: 13 Oct 2024

https://github.com/blei-lab/onlineldavb

Online variational Bayes for latent Dirichlet allocation (LDA)

Last synced: 02 Aug 2024

https://github.com/blei-lab/dtm

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

Last synced: 02 Aug 2024

https://github.com/blei-lab/lda-c

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

Last synced: 02 Aug 2024

https://github.com/blei-lab/hdp

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

Last synced: 02 Aug 2024

https://github.com/blei-lab/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.

Last synced: 02 Aug 2024

https://github.com/blei-lab/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.

Last synced: 06 Nov 2024

https://github.com/blei-lab/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.

Last synced: 02 Aug 2024

https://github.com/blei-lab/class-slda

Implements supervised topic models with a categorical response.

Last synced: 02 Aug 2024

https://github.com/blei-lab/turbotopics

Turbo topics find significant multiword phrases in topics.

Last synced: 02 Aug 2024

https://github.com/blei-lab/ctm-c

This implements variational inference for the correlated topic model.

Last synced: 02 Aug 2024

https://github.com/blei-lab/diln

This implements the discrete infinite logistic normal, a Bayesian nonparametric topic model that finds correlated topics.

Last synced: 02 Aug 2024