Alternatives and similar repositories for online-hdp:

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

• blei-lab / hdp
  Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.
  ☆150Updated 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.
  ☆166Updated 8 years ago
• blei-lab / class-slda
  Implements supervised topic models with a categorical response.
  ☆64Updated 3 years ago
• blei-lab / onlineldavb
  Online variational Bayes for latent Dirichlet allocation (LDA)
  ☆304Updated 3 years ago
• rajarshd / Gaussian_LDA
  ☆141Updated 5 years ago
• wbuntine / topic-models
  Topic modelling software using non-parametric methods
  ☆70Updated 8 years ago
• jhlau / topic_interpretability
  Computation of the semantic interpretability of topics produced by topic models.
  ☆180Updated 7 years ago
• kzhai / PyLDA
  A Latent Dirichlet Allocation implementation in Python.
  ☆51Updated 5 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
• dongwookim-ml / python-topic-model
  Implementation of various topic models
  ☆369Updated 4 years ago
• kzhai / PyNPB
  Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).
  ☆73Updated 9 years ago
• Savvysherpa / slda
  Cython implementations of Gibbs sampling for supervised LDA
  ☆61Updated 7 years ago
• askerlee / topicvec
  ☆196Updated 6 years ago
• seomoz / word2gauss
  Gaussian word embeddings
  ☆190Updated 6 years ago
• dallascard / neural_topic_models
  Code to accompany "A Neural Framework for Generalized Topic Models"
  ☆67Updated 6 years ago
• mchen24 / iclr2017
  Doc2VecC from the paper "Efficient Vector Representation for Documents through Corruption"
  ☆186Updated 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
• akashgit / autoencoding_vi_for_topic_models
  Tensorflow implementation for prodLDA and NVLDA.
  ☆252Updated 3 years ago
• blei-lab / ctr
  Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend item…
  ☆147Updated 9 years ago
• mariru / exponential_family_embeddings
  Bernoulli Embeddings for Text
  ☆83Updated 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
• ahmaurya / topics_over_time
  Topics over Time implementation
  ☆115Updated 4 years ago
• suzuki-shm / LLDA
  Scikit-learn like Labeled-LDA
  ☆38Updated 8 years ago
• derekgreene / dynamic-nmf
  Dynamic Topic Modeling via Non-negative Matrix Factorization
  ☆281Updated 3 years ago
• Hesamalian / HDP
  Python code for HDP(Hierarchical Dirichlet Process) using Direct Assignment
  ☆20Updated 8 years ago
• Ardavans / sHDP
  Nonparametric Topic Modeling with Word Vectors
  ☆73Updated 7 years ago
• kzhai / InfVocLDA
  Online Latent Dirichlet Allocation with Infinite Vocabulary using Variational Inference
  ☆74Updated 9 years ago
• aschein / bptf
  Bayesian Poisson tensor factorization
  ☆58Updated 4 months ago
• xiaohuiyan / OnlineBTM
  Code for Online Biterm Topic Model (published in TKDE2014)
  ☆65Updated 10 years ago
• hugochan / KATE
  Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"
  ☆144Updated last year