Alternatives and similar repositories for hdp:

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

• blei-lab / online-hdp
  Online inference for the Hierarchical Dirichlet Process. Fits hierarchical Dirichlet process topic models to massive data. The algorithm …
  ☆145Updated 10 years ago
• blei-lab / class-slda
  Implements supervised topic models with a categorical response.
  ☆64Updated 3 years ago
• blei-lab / publications
  The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).
  ☆72Updated 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
• kzhai / PyNPB
  Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).
  ☆73Updated 9 years ago
• wbuntine / topic-models
  Topic modelling software using non-parametric methods
  ☆70Updated 8 years ago
• mariru / exponential_family_embeddings
  Bernoulli Embeddings for Text
  ☆83Updated 7 years ago
• lmjohns3 / downhill
  Stochastic gradient routines for Theano
  ☆102Updated 6 years ago
• dallascard / neural_topic_models
  Code to accompany "A Neural Framework for Generalized Topic Models"
  ☆67Updated 6 years ago
• Ardavans / sHDP
  Nonparametric Topic Modeling with Word Vectors
  ☆73Updated 7 years ago
• blei-lab / deep-exponential-families
  Deep exponential families (DEFs)
  ☆55Updated 7 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
• rajarshd / Gaussian_LDA
  ☆142Updated 5 years ago
• jwieting / iclr2016
  Python code for training all models in the ICLR paper, "Towards Universal Paraphrastic Sentence Embeddings". These models achieve strong …
  ☆192Updated 9 years ago
• ParallelDots / WordEmbeddingAutoencoder
  An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
  ☆74Updated 8 years ago
• seomoz / word2gauss
  Gaussian word embeddings
  ☆190Updated 7 years ago
• enewe101 / word2vec
  An implementation of Mikolov's word2vec in Python using Theano and Lasagne.
  ☆37Updated 7 years ago
• Savvysherpa / slda
  Cython implementations of Gibbs sampling for supervised LDA
  ☆61Updated 7 years ago
• larsmaaloee / deep-belief-nets-for-topic-modeling
  This repository is a proof of concept toolbox for using Deep Belief Nets for Topic Modeling in Python.
  ☆144Updated 10 years ago
• tbroderick / bnp_tutorial
  ☆29Updated 7 years ago
• blei-lab / dtm
  This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.
  ☆201Updated 7 years ago
• askerlee / topicvec
  ☆196Updated 7 years ago
• chyikwei / topicModels
  topics Models extension for Mallet & scikit-learn
  ☆49Updated 8 years ago
• yiyang-gt / feat2vec
  Code of NAACL paper "Unsupervised Multi-Domain Adaptation with Feature Embeddings"
  ☆33Updated 9 years ago
• blei-lab / ctm-c
  This implements variational inference for the correlated topic model.
  ☆21Updated 10 years ago
• hugochan / KATE
  Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"
  ☆144Updated last year
• nzhiltsov / Ext-RESCAL
  Scalable tensor factorization
  ☆54Updated 9 years ago
• kzhai / PyLDA
  A Latent Dirichlet Allocation implementation in Python.
  ☆51Updated 6 years ago
• kmpoon / hlta
  Provides functions for hierarchical latent tree analysis on text data for hierarchical topic detection
  ☆82Updated 4 years ago
• blei-lab / onlineldavb
  Online variational Bayes for latent Dirichlet allocation (LDA)
  ☆304Updated 3 years ago