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awesome-topic-models

✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)
https://github.com/jonaschn/awesome-topic-models

Last synced: 7 days ago
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  • Research Implementations

    • Embedding based Topic Models

      • fast - A Fast And Scalable Topic-Modeling Toolbox (Fast-LDA, CVB0) by Arthur Asuncion and colleagues [:page_facing_up:](https://arxiv.org/pdf/1205.2662.pdf)
      • hLDA - C implementation of hierarchical LDA by David Blei
      • ctm-c - C implementation of the correlated topic model by David Blei
      • sLDA - C++ implementation of supervised topic models with a categorical response.
      • lda-c - C implementation using variational EM by David Blei
      • onlineldavb - Python online variational Bayes implementation by Matthew Hoffman [:page_facing_up:](https://proceedings.neurips.cc/paper/2010/file/71f6278d140af599e06ad9bf1ba03cb0-Paper.pdf)
      • HDP - C++ implementation of hierarchical Dirichlet processes by Chong Wang
      • online-hdp - Python implementation of online hierarchical Dirichlet processes by Chong Wang
      • ctr - C++ implementation of collaborative topic models by Chong Wang
      • dtm - C implementation of dynamic topic models by David Blei & Sean Gerrish
      • diln - C implementation of Discrete Infinite Logistic Normal (with HDP option) by John Paisley
      • turbotopics - Python implementation that finds significant multiword phrases in topics by David Blei
      • LDAGibbs - Java implementation of LDA using Gibbs sampling by Liu Yang
      • cvbLDA - Python C extension implementation of collapsed variational Bayesian inference for LDA
      • fast - A Fast And Scalable Topic-Modeling Toolbox (Fast-LDA, CVB0) by Arthur Asuncion and colleagues [:page_facing_up:](https://arxiv.org/pdf/1205.2662.pdf)
  • Resources

    • Embedding based Topic Models

      • David Blei - David Blei's Homepage with introductory materials
      • David Blei - David Blei's Homepage with introductory materials
  • Visualizations

    • Embedding based Topic Models

      • topicmodel-lib - Python wrapper for TMVE for visualizing LDA (trained with topicmodel-lib)
      • LDAvis - R package for interactive topic model visualization
      • pyLDAvis - Python library for interactive topic model visualization
      • scalaLDAvis - Scala port of pyLDAvis
      • dtmvisual - Python package for visualizing DTM (trained with gensim)
      • TMVE online - Online Django variant of topic model visualization engine (*TMVE*)
      • TMVE - Original topic model visualization engine (LDA trained with *lda-c*) [:page_facing_up:](https://www.aaai.org/ocs/index.php/ICWSM/ICWSM12/paper/viewFile/4645/5021)
      • wordcloud - Python package for visualizing topics via word_cloud
      • Mallet-GUI - GUI for creating and analyzing topic models produced by MALLET
      • TWiC - Topic Words in Context is a highly-interactive, browser-based visualization for MALLET topic models
      • dfr-browser - Explore Mallet's topic models of texts in a web browser
      • Termite - Explore topic models using term-topic matrix, group-in-a-box visualization or scatter plot.
      • Topics - Python library for topic modeling and visualization
      • TopicsExplorer - Explore your own text collection with a topic model – without prior knowledge [:page_facing_up:](https://dh2018.adho.org/a-graphical-user-interface-for-lda-topic-modeling)
      • topicApp - A Simple Shiny App for Topic Modeling
      • stminsights - A Shiny Application for Inspecting Structural Topic Models
      • wordcloud - Python package for visualizing topics via word_cloud