Alternatives and similar repositories for online-hdp

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

• blei-lab / onlineldavb
  Online variational Bayes for latent Dirichlet allocation (LDA)
  ☆304Updated 4 years ago
• blei-lab / hdp
  Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.
  ☆149Updated 8 years ago
• blei-lab / class-slda
  Implements supervised topic models with a categorical response.
  ☆65Updated 3 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
• rajarshd / Gaussian_LDA
  ☆142Updated 5 years ago
• askerlee / topicvec
  ☆196Updated 7 years ago
• mariru / exponential_family_embeddings
  Bernoulli Embeddings for Text
  ☆83Updated 7 years ago
• dongwookim-ml / python-topic-model
  Implementation of various topic models
  ☆371Updated 5 years ago
• kzhai / PyLDA
  A Latent Dirichlet Allocation implementation in Python.
  ☆51Updated 6 years ago
• seomoz / word2gauss
  Gaussian word embeddings
  ☆189Updated 7 years ago
• wbuntine / topic-models
  Topic modelling software using non-parametric methods
  ☆70Updated 9 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"
  ☆187Updated 8 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
• hugochan / KATE
  Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"
  ☆146Updated 2 years ago
• JonathanRaiman / PVDM
  Implementation of Q.V. Le, and T. Mikolov, "Distributed Representations of Sentences and Documents ICML", 2014.
  ☆246Updated 7 years ago
• akashgit / autoencoding_vi_for_topic_models
  Tensorflow implementation for prodLDA and NVLDA.
  ☆255Updated 4 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.
  ☆168Updated 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
• FredericGodin / DynamicCNN
  Dynamic Convolutional Neural Networks for Theano/Lasagne
  ☆151Updated 8 years ago
• Savvysherpa / slda
  Cython implementations of Gibbs sampling for supervised LDA
  ☆61Updated 8 years ago
• enewe101 / word2vec
  An implementation of Mikolov's word2vec in Python using Theano and Lasagne.
  ☆37Updated 8 years ago
• kzhai / InfVocLDA
  Online Latent Dirichlet Allocation with Infinite Vocabulary using Variational Inference
  ☆74Updated 10 years ago
• gaohuang / S-WMD
  Code for Supervised Word Mover's Distance (SWMD)
  ☆92Updated 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 11 years ago
• blei-lab / ctr
  Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend item…
  ☆147Updated 10 years ago
• benathi / word2gm
  Word to Gaussian Mixture Model
  ☆283Updated 6 years ago
• libofang / DV-ngram
  code for iclr workshop paper "Learning Document Embedding by Predicting N-grams for Sentiment Classification of Long Movie Reviews"
  ☆25Updated 9 years ago
• soroushv / Tweet2Vec
  Code for the implementation of Tweet2Vec
  ☆61Updated 7 years ago
• jwieting / iclr2016
  Python code for training all models in the ICLR paper, "Towards Universal Paraphrastic Sentence Embeddings". These models achieve strong …
  ☆193Updated 9 years ago