Alternatives and similar repositories for Neural-Document-Modeling

Users that are interested in Neural-Document-Modeling are comparing it to the libraries listed below

• estebandito22 / PyTorchAVITM
  PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017)
  ☆38Updated 5 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 5 years ago
• tshi04 / SeaNMF
  Short Text Topic Modeling
  ☆65Updated 6 years ago
• linkstrife / NVDM-GSM
  A tensorflow implementation of the neural variational topic,document model with Gaussian Softmax Construction (GSM).
  ☆21Updated 6 years ago
• adjidieng / DETM
  ☆136Updated 4 years ago
• dice-group / palmetto-py
  Python interface for https://github.com/dice-group/Palmetto
  ☆39Updated 2 years ago
• valdersoul / GraphBTM
  Code for paper "GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model". Under preparation.
  ☆46Updated 6 years ago
• dallascard / scholar
  Replication code for "Neural Models for Documents with Metadata"
  ☆105Updated 5 years ago
• ahoho / kd-topic-models
  Repo for EMNLP 2020 paper, "Improving Neural Topic Models using Knowledge Distillation"
  ☆31Updated 4 years ago
• dheeraj7596 / ConWea
  Code for the paper "Contextualized Weak Supervision for Text Classification"
  ☆52Updated 4 years ago
• SmilesDZgk / GNTM
  ☆17Updated 3 years ago
• pgcool / textTOvec
  ICLR 2019 paper: "textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR"
  ☆25Updated 6 years ago
• bobxwu / NQTM
  Code for Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder (EMNLP2020).
  ☆43Updated last year
• pgcool / iDocNADEe
  AAAI 2019 paper: "Document Informed Neural Autoregressive Topic Models with Distributional Prior" (a Contextualized Neural Topic Model wi…
  ☆19Updated 6 years ago
• ysmiao / nvdm
  neural variational document model
  ☆132Updated 7 years ago
• yjxiao / ProdLDA
  ☆17Updated 7 years ago
• awslabs / w-lda
  Source code for paper "Topic Modeling with Wasserstein Autoencoders".
  ☆41Updated 5 years ago
• vlukiyanov / pt-avitm
  PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)
  ☆36Updated 2 years ago
• clips / cat
  cat🐈: the repo for the paper "Embarrassingly Simple Unsupervised Aspect extraction"
  ☆78Updated 4 years ago
• stangelid / oposum
  ☆102Updated 4 years ago
• sf-wa-326 / phrase-bert-topic-model
  ☆87Updated 3 years ago
• yumeng5 / CatE
  [WWW 2020] Discriminative Topic Mining via Category-Name Guided Text Embedding
  ☆50Updated 4 years ago
• hyqneuron / pytorch-avitm
  PyTorch implementation of AVITM
  ☆159Updated 6 years ago
• misonuma / tsntm
  A code for "Tree-Structured Neural Topic Model" in ACL2020
  ☆18Updated 2 years ago
• sumeetkr / AwesomeStanceLearning
  The page lists recent research developments in the area of Stance Learning.
  ☆53Updated last year
• rit-git / Snippext_public
  Snippext: Semi-supervised Opinion Mining with Augmented Data
  ☆58Updated 2 years ago
• kenchan0226 / keyphrase-generation-rl
  Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"
  ☆107Updated 4 years ago
• PKU-TANGENT / NeuralEDUSeg
  A toolkit for discourse segmentation (EDU segmentation).
  ☆101Updated 2 years ago
• valentinhofmann / dcwe
  Code for "Dynamic Contextualized Word Embeddings"
  ☆31Updated 3 years ago
• UKPLab / acl2019-BERT-argument-classification-and-clustering
  ☆83Updated 4 years ago