Projects in Awesome Lists by blei-lab
A curated list of projects in awesome lists by blei-lab .
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: 14 May 2025
https://github.com/blei-lab/onlineldavb
Online variational Bayes for latent Dirichlet allocation (LDA)
Last synced: 07 Apr 2025
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: 23 Apr 2025
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: 23 Apr 2025
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: 14 Jul 2025
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: 17 Jul 2025
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: 12 Jul 2025
https://github.com/blei-lab/causal-text-embeddings
Software and data for "Using Text Embeddings for Causal Inference"
Last synced: 18 Oct 2025
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: 23 Apr 2025
https://github.com/blei-lab/publications
The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).
Last synced: 26 Sep 2025
https://github.com/blei-lab/variational-smc
Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
Last synced: 01 Mar 2026
https://github.com/blei-lab/class-slda
Implements supervised topic models with a categorical response.
Last synced: 23 Apr 2025
https://github.com/blei-lab/deep-exponential-families
Deep exponential families (DEFs)
Last synced: 23 Apr 2025
https://github.com/blei-lab/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.
Last synced: 23 Apr 2025
https://github.com/blei-lab/turbotopics
Turbo topics find significant multiword phrases in topics.
Last synced: 23 Apr 2025
https://github.com/blei-lab/treeffuser
Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion models.
diffusion-models diffusions flexible-prediction gradient-boosting heteroscedasticity lightgbm prediction probabilistic-models probabilistic-prediction tabular-data trees
Last synced: 23 Apr 2025
https://github.com/blei-lab/ars-reparameterization
Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)
Last synced: 09 Aug 2025
https://github.com/blei-lab/zero-inflated-embedding
Code for the icml paper "zero inflated exponential family embedding"
Last synced: 23 Apr 2025
https://github.com/blei-lab/context-selection-embedding
Context Selection for Embedding Models
Last synced: 08 Oct 2025
https://github.com/blei-lab/ctm-c
This implements variational inference for the correlated topic model.
Last synced: 23 Apr 2025
https://github.com/blei-lab/factorial-network-models
Discussion of Durante et al for JSM 2017. Includes factorial network model generalization.
Last synced: 28 Jun 2025
https://github.com/blei-lab/diln
This implements the discrete infinite logistic normal, a Bayesian nonparametric topic model that finds correlated topics.
Last synced: 23 Apr 2025
https://github.com/blei-lab/twineb
Repository for the TwinEB Matrix Factorization project.
Last synced: 21 Apr 2026
https://github.com/blei-lab/embvis
Tool for visualizing and browsing over data point embeddings
Last synced: 18 Sep 2025