Alternatives and similar repositories for hdp

Users that are interested in hdp are comparing it to the libraries listed below

• blei-lab / class-slda
  Implements supervised topic models with a categorical response.
  ☆64Updated 3 years ago
• blei-lab / online-hdp
  Online inference for the Hierarchical Dirichlet Process. Fits hierarchical Dirichlet process topic models to massive data. The algorithm …
  ☆146Updated 10 years ago
• wbuntine / topic-models
  Topic modelling software using non-parametric methods
  ☆70Updated 9 years ago
• blei-lab / publications
  The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).
  ☆72Updated 8 years ago
• mariru / exponential_family_embeddings
  Bernoulli Embeddings for Text
  ☆83Updated 7 years ago
• blei-lab / hlda
  This implements hierarchical latent Dirichlet allocation, a topic model that finds a hierarchy of topics. The structure of the hierarchy …
  ☆78Updated 10 years ago
• blei-lab / DynamicPoissonFactorization
  Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time accordin…
  ☆48Updated 9 years ago
• kzhai / InfVocLDA
  Online Latent Dirichlet Allocation with Infinite Vocabulary using Variational Inference
  ☆74Updated 9 years ago
• dallascard / neural_topic_models
  Code to accompany "A Neural Framework for Generalized Topic Models"
  ☆67Updated 6 years ago
• kzhai / PyNPB
  Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).
  ☆73Updated 9 years ago
• blei-lab / ctm-c
  This implements variational inference for the correlated topic model.
  ☆21Updated 10 years ago
• seomoz / word2gauss
  Gaussian word embeddings
  ☆189Updated 7 years ago
• napsternxg / deepwalk_keras_igraph
  Reimplementation of deepwalk algorithm from https://github.com/phanein/deepwalk
  ☆38Updated 9 years ago
• Ardavans / sHDP
  Nonparametric Topic Modeling with Word Vectors
  ☆74Updated 8 years ago
• 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.
  ☆167Updated 9 years ago
• blei-lab / deep-exponential-families
  Deep exponential families (DEFs)
  ☆55Updated 7 years ago
• gaohuang / S-WMD
  Code for Supervised Word Mover's Distance (SWMD)
  ☆92Updated 7 years ago
• cjf00000 / ScaCTM
  Scalable inference for Correlated Topic Models
  ☆31Updated 10 years ago
• kmpoon / hlta
  Provides functions for hierarchical latent tree analysis on text data for hierarchical topic detection
  ☆83Updated 4 years ago
• chyikwei / topicModels
  topics Models extension for Mallet & scikit-learn
  ☆49Updated 8 years ago
• jacobeisenstein / SAGE
  Sparse Additive Generative Model of Text
  ☆87Updated 8 years ago
• lmjohns3 / downhill
  Stochastic gradient routines for Theano
  ☆103Updated 7 years ago
• miyyer / rmn
  relationship modeling networks (NAACL 2016)
  ☆87Updated 4 years ago
• rajarshd / Gaussian_LDA
  ☆142Updated 5 years ago
• dawenl / stochastic_PMF
  Poisson matrix factorization and autotagger
  ☆43Updated 9 years ago
• ParallelDots / WordEmbeddingAutoencoder
  An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
  ☆74Updated 8 years ago
• kzhai / PyLDA
  A Latent Dirichlet Allocation implementation in Python.
  ☆51Updated 6 years ago
• piskvorky / word_embeddings
  Code for the blog post "Making Sense of Word2vec"
  ☆113Updated 10 years ago
• premgopalan / hgaprec
  Scalable Recommendation with Hierarchical Poisson Factorization P Gopalan, JM Hofman, DM Blei UAI, 326-335
  ☆55Updated 9 years ago
• echen / dirichlet-process
  Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
  ☆306Updated 10 years ago