Alternatives and similar repositories for onlineldavb

Users that are interested in onlineldavb 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 …
  ☆146Updated 10 years ago
• dongwookim-ml / python-topic-model
  Implementation of various topic models
  ☆371Updated 4 years ago
• derekgreene / dynamic-nmf
  Dynamic Topic Modeling via Non-negative Matrix Factorization
  ☆285Updated 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.
  ☆167Updated 9 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.
  ☆203Updated 7 years ago
• blei-lab / class-slda
  Implements supervised topic models with a categorical response.
  ☆64Updated 3 years ago
• Savvysherpa / slda
  Cython implementations of Gibbs sampling for supervised LDA
  ☆61Updated 7 years ago
• rajarshd / Gaussian_LDA
  ☆142Updated 5 years ago
• ahmaurya / topics_over_time
  Topics over Time implementation
  ☆115Updated 4 years ago
• joewandy / hlda
  Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model
  ☆151Updated last month
• akashgit / autoencoding_vi_for_topic_models
  Tensorflow implementation for prodLDA and NVLDA.
  ☆254Updated 4 years ago
• meereeum / lda2vec-tf
  tensorflow port of the lda2vec model for unsupervised learning of document + topic + word embeddings
  ☆436Updated 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
• jhlau / topic_interpretability
  Computation of the semantic interpretability of topics produced by topic models.
  ☆180Updated 8 years ago
• datquocnguyen / LFTM
  Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)
  ☆177Updated 8 years ago
• JonathanRaiman / PVDM
  Implementation of Q.V. Le, and T. Mikolov, "Distributed Representations of Sentences and Documents ICML", 2014.
  ☆245Updated 7 years ago
• askerlee / topicvec
  ☆196Updated 7 years ago
• suzuki-shm / LLDA
  Scikit-learn like Labeled-LDA
  ☆37Updated 8 years ago
• seomoz / word2gauss
  Gaussian word embeddings
  ☆189Updated 7 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
• benathi / word2gm
  Word to Gaussian Mixture Model
  ☆283Updated 6 years ago
• xiaohuiyan / BTM
  Code for Biterm Topic Model (published in WWW 2013)
  ☆408Updated 5 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
• 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
• williamleif / socialsent
  Code and data for inducing domain-specific sentiment lexicons.
  ☆196Updated last year
• shuyo / iir
  Machine Learning / Natural Language Processing / Information Retrieval
  ☆712Updated 4 years ago
• minghui / Twitter-LDA
  Latent Dirichlet Allocation (LDA) model for Microblogs (Twitter, weibo etc.)
  ☆320Updated 7 years ago
• largelymfs / topical_word_embeddings
  A demo code for topical word embedding
  ☆313Updated 7 years ago
• wbuntine / topic-models
  Topic modelling software using non-parametric methods
  ☆70Updated 8 years ago
• dice-group / Palmetto
  Palmetto is a quality measuring tool for topics
  ☆216Updated last year