Alternatives and similar repositories for FastDTM

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

• tshi04 / SeaNMF
  Short Text Topic Modeling
  ☆65Updated 7 years ago
• dallascard / scholar
  Replication code for "Neural Models for Documents with Metadata"
  ☆107Updated 5 years ago
• joewandy / hlda
  Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model
  ☆154Updated this week
• adjidieng / DETM
  ☆138Updated 4 years ago
• magsilva / dtm
  This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.
  ☆29Updated 5 years ago
• vlukiyanov / pt-avitm
  PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)
  ☆35Updated 3 years ago
• ahoho / SentiVAE
  ☆16Updated 6 years ago
• abenton / deep-dmr
  Implementation of Deep Dirichlet Multinomial Regression in python + cython.
  ☆16Updated 7 years ago
• Savvysherpa / slda
  Cython implementations of Gibbs sampling for supervised LDA
  ☆61Updated 8 years ago
• yifan0sun / DynamicWord2Vec
  Dynamic Word Embeddings for Evolving Semantic Discovery code.
  ☆74Updated 2 years ago
• IBM / WordMoversEmbeddings
  WordMoversEmbeddings(WME) is a simple code for generating the vector representation of sentence/document for text classification and clus…
  ☆83Updated 7 years ago
• estebandito22 / PyTorchAVITM
  PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017)
  ☆39Updated 6 years ago
• dice-group / palmetto-py
  Python interface for https://github.com/dice-group/Palmetto
  ☆40Updated 3 years ago
• YongfeiYan / Neural-Document-Modeling
  PyTorch implementations of NVDM, GSM, NTM, NTMR
  ☆74Updated 6 years ago
• JoeZJH / Labeled-LDA-Python
  Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python
  ☆119Updated 3 years ago
• UKPLab / acl2019-BERT-argument-classification-and-clustering
  ☆85Updated 5 years ago
• qiang2100 / STTM
  Short Text Topic Modeling, JAVA
  ☆159Updated 5 years ago
• pgcool / textTOvec
  ICLR 2019 paper: "textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR"
  ☆25Updated 7 years ago
• valedica / twec
  Training Temporal Word Embeddings with a Compass
  ☆65Updated 4 months ago
• kzhai / PyCTM
  A Correlated Topic Model implementation in Python.
  ☆32Updated 5 years ago
• wangjin0818 / word_embedding_refine
  ☆24Updated 7 years ago
• ghdi6758 / SemAxis
  SemAxis: A Lightweight Framework to Characterize Domain-Specific Word Semantics Beyond Sentiment
  ☆22Updated 2 years ago
• abrazinskas / BSG
  Bayesian Skip-gram model
  ☆47Updated 5 years ago
• ahoho / kd-topic-models
  Repo for EMNLP 2020 paper, "Improving Neural Topic Models using Knowledge Distillation"
  ☆31Updated 5 years ago
• adalmia96 / Cluster-Analysis
  ☆54Updated 4 years ago
• BIU-NLP / word2vecf
  ☆17Updated 8 years ago
• rpryzant / deconfounded-lexicon-induction
  Find text features that are most related to an outcome, controlling for confounds.
  ☆60Updated last year
• jerbarnes / domain_blse
  Projecting Embeddings for Domain Adaptation: Joint Modeling of Sentiment in Diverse Domains
  ☆16Updated 7 years ago
• jacobeisenstein / language-change-tutorial
  Tutorial on computational models of language change
  ☆116Updated 6 years ago
• valentinhofmann / dcwe
  Code for "Dynamic Contextualized Word Embeddings"
  ☆32Updated 4 years ago