Alternatives and similar repositories for DETM

Users that are interested in DETM are comparing it to the libraries listed below

• tshi04 / SeaNMF
  Short Text Topic Modeling
  ☆65Updated 7 years ago
• joewandy / hlda
  Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model
  ☆151Updated last month
• JoeZJH / Labeled-LDA-Python
  Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python
  ☆120Updated 3 years ago
• valedica / twec
  Training Temporal Word Embeddings with a Compass
  ☆64Updated 2 years ago
• YongfeiYan / Neural-Document-Modeling
  PyTorch implementations of NVDM, GSM, NTM, NTMR
  ☆74Updated 5 years ago
• yifan0sun / DynamicWord2Vec
  Dynamic Word Embeddings for Evolving Semantic Discovery code.
  ☆73Updated 2 years ago
• adjidieng / ETM
  Topic Modeling in Embedding Spaces
  ☆556Updated last year
• dice-group / palmetto-py
  Python interface for https://github.com/dice-group/Palmetto
  ☆39Updated 2 years ago
• adalmia96 / Cluster-Analysis
  ☆54Updated 3 years ago
• dallascard / scholar
  Replication code for "Neural Models for Documents with Metadata"
  ☆105Updated 5 years ago
• qiang2100 / STTM
  Short Text Topic Modeling, JAVA
  ☆156Updated 5 years ago
• estebandito22 / PyTorchAVITM
  PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017)
  ☆39Updated 5 years ago
• lfmatosm / embedded-topic-model
  A package to run embedded topic modelling with ETM. Adapted from the original at: https://github.com/adjidieng/ETM
  ☆95Updated last year
• rpryzant / deconfounded-lexicon-induction
  Find text features that are most related to an outcome, controlling for confounds.
  ☆60Updated last year
• IBM / WordMoversEmbeddings
  WordMoversEmbeddings(WME) is a simple code for generating the vector representation of sentence/document for text classification and clus…
  ☆82Updated 6 years ago
• ddemszky / framing-twitter
  Code for the paper "Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings"
  ☆69Updated 2 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
• blei-lab / causal-text-embeddings
  Software and data for "Using Text Embeddings for Causal Inference"
  ☆125Updated 4 years ago
• ahoho / kd-topic-models
  Repo for EMNLP 2020 paper, "Improving Neural Topic Models using Knowledge Distillation"
  ☆31Updated 4 years ago
• jhlau / topic_interpretability
  Computation of the semantic interpretability of topics produced by topic models.
  ☆180Updated 8 years ago
• JiaxiangBU / dynamic_topic_modeling
  dynamic topic modeling
  ☆41Updated 2 years ago
• vlukiyanov / pt-avitm
  PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)
  ☆35Updated 3 years ago
• jacobeisenstein / language-change-tutorial
  Tutorial on computational models of language change
  ☆115Updated 6 years ago
• Savvysherpa / slda
  Cython implementations of Gibbs sampling for supervised LDA
  ☆61Updated 7 years ago
• akashgit / autoencoding_vi_for_topic_models
  Tensorflow implementation for prodLDA and NVLDA.
  ☆254Updated 4 years ago
• quynhneo / detm-arxiv
  Implementation of Dynamic Embedding Topic Modeling on arxiv.org articles
  ☆20Updated 3 years ago
• Arnie0426 / FastDTM
  Repo for MCMC based Dynamic Topic Model
  ☆16Updated 7 years ago
• sumeetkr / AwesomeStanceLearning
  The page lists recent research developments in the area of Stance Learning.
  ☆53Updated last year
• bobxwu / NQTM
  Code for Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder (EMNLP2020).
  ☆43Updated last year
• UKPLab / acl2019-BERT-argument-classification-and-clustering
  ☆83Updated 4 years ago