Alternatives and similar repositories for Labeled-LDA-Python

Users that are interested in Labeled-LDA-Python are comparing it to the libraries listed below

• qiang2100 / STTM
  Short Text Topic Modeling, JAVA
  ☆156Updated 5 years ago
• adjidieng / DETM
  ☆136Updated 4 years ago
• tshi04 / SeaNMF
  Short Text Topic Modeling
  ☆65Updated 6 years ago
• markoarnauto / biterm
  Biterm Topic Model
  ☆136Updated last year
• KenHBS / LDA_thesis
  Hierarchical, multi-label topic modelling with LDA
  ☆54Updated 2 years ago
• Savvysherpa / slda
  Cython implementations of Gibbs sampling for supervised LDA
  ☆61Updated 7 years ago
• dice-group / palmetto-py
  Python interface for https://github.com/dice-group/Palmetto
  ☆39Updated 2 years ago
• suzuki-shm / LLDA
  Scikit-learn like Labeled-LDA
  ☆38Updated 8 years ago
• dallascard / scholar
  Replication code for "Neural Models for Documents with Metadata"
  ☆105Updated 5 years ago
• valdersoul / GraphBTM
  Code for paper "GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model". Under preparation.
  ☆46Updated 6 years ago
• joewandy / hlda
  Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model
  ☆150Updated this week
• 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
• xiaohuiyan / OnlineBTM
  Code for Online Biterm Topic Model (published in TKDE2014)
  ☆65Updated 10 years ago
• xiaohuiyan / BurstyBTM
  Code for Bursty Biterm Topic Model (published in AAAI2015)
  ☆53Updated 6 years ago
• atefm / pDMM
  Python implemetation for Dirichlet Multinomial Mixture (DMM) model
  ☆47Updated 3 years ago
• yifan0sun / DynamicWord2Vec
  Dynamic Word Embeddings for Evolving Semantic Discovery code.
  ☆74Updated 2 years ago
• YongfeiYan / Neural-Document-Modeling
  PyTorch implementations of NVDM, GSM, NTM, NTMR
  ☆74Updated 5 years ago
• magsilva / dtm
  This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.
  ☆30Updated 4 years ago
• IBM / WordMoversEmbeddings
  WordMoversEmbeddings(WME) is a simple code for generating the vector representation of sentence/document for text classification and clus…
  ☆81Updated 6 years ago
• NobodyWHU / GPUDMM
  Topic Modeling for Short Texts with Auxiliary Word Embeddings
  ☆73Updated 7 years ago
• yumeng5 / Spherical-Text-Embedding
  [NeurIPS 2019] Spherical Text Embedding
  ☆177Updated last year
• awslabs / w-lda
  Source code for paper "Topic Modeling with Wasserstein Autoencoders".
  ☆41Updated 5 years ago
• JiaxiangBU / dynamic_topic_modeling
  dynamic topic modeling
  ☆40Updated 2 years ago
• balikasg / topicModelling
  A project with topic model implementations
  ☆132Updated 2 years ago
• derekgreene / dynamic-nmf
  Dynamic Topic Modeling via Non-negative Matrix Factorization
  ☆284Updated 4 years ago
• jhlau / topic_interpretability
  Computation of the semantic interpretability of topics produced by topic models.
  ☆180Updated 8 years ago
• linkstrife / NVDM-GSM
  A tensorflow implementation of the neural variational topic,document model with Gaussian Softmax Construction (GSM).
  ☆21Updated 6 years ago
• akashgit / autoencoding_vi_for_topic_models
  Tensorflow implementation for prodLDA and NVLDA.
  ☆254Updated 4 years ago
• zengjichuan / TMN
  Source code of TMN (Topic Memory Network)
  ☆84Updated 6 years ago
• jcapde / Biterm
  Biterm topic model
  ☆24Updated 9 years ago