tshi04 / SeaNMF

Related projects ⓘ

Alternatives and complementary repositories for SeaNMF

• YongfeiYan / Neural-Document-Modeling
  PyTorch implementations of NVDM, GSM, NTM, NTMR
  ☆74Updated 5 years ago
• estebandito22 / PyTorchAVITM
  PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017)
  ☆38Updated 5 years ago
• adjidieng / DETM
  ☆131Updated 3 years ago
• ahoho / kd-topic-models
  Repo for EMNLP 2020 paper, "Improving Neural Topic Models using Knowledge Distillation"
  ☆31Updated 4 years ago
• dice-group / palmetto-py
  Python interface for https://github.com/dice-group/Palmetto
  ☆40Updated 2 years ago
• WANGXinyiLinda / Neural-Topic-Model-with-Attention-for-Supervised-Learning
  This the repository for the AISTATS 2020 paper Neural Topic Model with Attention for Supervised Learning.
  ☆31Updated 4 years ago
• qiang2100 / STTM
  Short Text Topic Modeling, JAVA
  ☆154Updated 4 years ago
• linkstrife / NVDM-GSM
  A tensorflow implementation of the neural variational topic,document model with Gaussian Softmax Construction (GSM).
  ☆21Updated 5 years ago
• valdersoul / GraphBTM
  Code for paper "GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model". Under preparation.
  ☆46Updated 5 years ago
• KenHBS / LDA_thesis
  Hierarchical, multi-label topic modelling with LDA
  ☆53Updated last year
• dallascard / scholar
  Neural models for documents with metadata
  ☆103Updated 4 years ago
• pgcool / textTOvec
  ICLR 2019 paper: "textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR"
  ☆24Updated 5 years ago
• awslabs / w-lda
  Source code for paper "Topic Modeling with Wasserstein Autoencoders".
  ☆41Updated 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.
  ☆30Updated 3 years ago
• vlukiyanov / pt-avitm
  PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)
  ☆36Updated 2 years ago
• m94h / dtm_gensim
  Dynamic Topic Modelling Tutorial Files
  ☆13Updated 9 years ago
• sheffieldnlp / stance-semeval2016
  USFD submission code for Semeval 2016 Task 6, Subtask B
  ☆26Updated 8 years ago
• wangjin0818 / word_embedding_refine
  ☆24Updated 6 years ago
• atefm / pDMM
  Python implemetation for Dirichlet Multinomial Mixture (DMM) model
  ☆48Updated 3 years ago
• stangelid / oposum
  ☆101Updated 3 years ago
• sumeetkr / AwesomeStanceLearning
  The page lists recent research developments in the area of Stance Learning.
  ☆53Updated last year
• IBM / WordMoversEmbeddings
  WordMoversEmbeddings(WME) is a simple code for generating the vector representation of sentence/document for text classification and clus…
  ☆81Updated 5 years ago
• zengjichuan / Topic_Disc
  Source code and dataset of "Joint Modeling of Topics and Discourse in Microblog Conversations"
  ☆34Updated 5 years ago
• rit-git / Snippext_public
  Snippext: Semi-supervised Opinion Mining with Augmented Data
  ☆59Updated last year
• UKPLab / acl2019-BERT-argument-classification-and-clustering
  ☆83Updated 3 years ago
• complementizer / news-tls
  ☆32Updated 4 years ago
• dangitstam / topic-rnn
  Implementation (in progress) of Dieng et al.'s TopicRNN: a neural topic model & RNN hybrid.
  ☆53Updated 5 years ago
• Tixierae / EMNLP_2016
  ☆14Updated 8 years ago
• idiap / gile
  A generalized input-label embedding for text classification
  ☆23Updated 4 years ago
• yifan0sun / DynamicWord2Vec
  Dynamic Word Embeddings for Evolving Semantic Discovery code.
  ☆71Updated last year