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.
  ☆149Updated 8 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
• blei-lab / class-slda
  Implements supervised topic models with a categorical response.
  ☆64Updated 3 years ago
• rajarshd / Gaussian_LDA
  ☆142Updated 5 years ago
• Savvysherpa / slda
  Cython implementations of Gibbs sampling for supervised LDA
  ☆61Updated 7 years ago
• blei-lab / onlineldavb
  Online variational Bayes for latent Dirichlet allocation (LDA)
  ☆304Updated 3 years ago
• wbuntine / topic-models
  Topic modelling software using non-parametric methods
  ☆70Updated 8 years ago
• dallascard / neural_topic_models
  Code to accompany "A Neural Framework for Generalized Topic Models"
  ☆67Updated 6 years ago
• askerlee / topicvec
  ☆196Updated 7 years ago
• mariru / exponential_family_embeddings
  Bernoulli Embeddings for Text
  ☆83Updated 7 years ago
• kzhai / PyLDA
  A Latent Dirichlet Allocation implementation in Python.
  ☆51Updated 6 years ago
• kzhai / PyNPB
  Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).
  ☆73Updated 9 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
• seomoz / word2gauss
  Gaussian word embeddings
  ☆189Updated 7 years ago
• JonathanRaiman / PVDM
  Implementation of Q.V. Le, and T. Mikolov, "Distributed Representations of Sentences and Documents ICML", 2014.
  ☆244Updated 7 years ago
• Ardavans / sHDP
  Nonparametric Topic Modeling with Word Vectors
  ☆73Updated 7 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
• akashgit / autoencoding_vi_for_topic_models
  Tensorflow implementation for prodLDA and NVLDA.
  ☆253Updated 4 years ago
• jhlau / topic_interpretability
  Computation of the semantic interpretability of topics produced by topic models.
  ☆179Updated 8 years ago
• kzhai / InfVocLDA
  Online Latent Dirichlet Allocation with Infinite Vocabulary using Variational Inference
  ☆74Updated 9 years ago
• largelymfs / topical_word_embeddings
  A demo code for topical word embedding
  ☆313Updated 7 years ago
• datquocnguyen / LFTM
  Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)
  ☆177Updated 7 years ago
• miyyer / dan
  Deep Averaging Networks
  ☆238Updated 3 years ago
• mchen24 / iclr2017
  Doc2VecC from the paper "Efficient Vector Representation for Documents through Corruption"
  ☆186Updated 8 years ago
• fh295 / SentenceRepresentation
  ☆125Updated 8 years ago
• manasRK / glove-gensim
  Converting GloVe vectors into word2vec format for easy usage with Gensim
  ☆112Updated 5 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
• abhyudaynj / LSTM-CRF-models
  LSTM-CRF models for sequence labeling in text.
  ☆174Updated 7 years ago
• soroushv / Tweet2Vec
  Code for the implementation of Tweet2Vec
  ☆61Updated 7 years ago
• NobodyWHU / GPUDMM
  Topic Modeling for Short Texts with Auxiliary Word Embeddings
  ☆73Updated 6 years ago