Alternatives and similar repositories for palmetto-py:

Users that are interested in palmetto-py are comparing it to the libraries listed below

• tshi04 / SeaNMF
  Short Text Topic Modeling
  ☆65Updated 6 years ago
• dallascard / scholar
  Neural models for documents with metadata
  ☆103Updated 4 years ago
• KenHBS / LDA_thesis
  Hierarchical, multi-label topic modelling with LDA
  ☆54Updated 2 years ago
• atefm / pDMM
  Python implemetation for Dirichlet Multinomial Mixture (DMM) model
  ☆47Updated 3 years ago
• estebandito22 / PyTorchAVITM
  PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017)
  ☆38Updated 5 years ago
• dice-group / Palmetto
  Palmetto is a quality measuring tool for topics
  ☆216Updated last year
• YongfeiYan / Neural-Document-Modeling
  PyTorch implementations of NVDM, GSM, NTM, NTMR
  ☆74Updated 5 years ago
• ysmiao / nvdm
  neural variational document model
  ☆131Updated 7 years ago
• adjidieng / DETM
  ☆133Updated 4 years ago
• Savvysherpa / slda
  Cython implementations of Gibbs sampling for supervised LDA
  ☆61Updated 7 years ago
• jhlau / topic_interpretability
  Computation of the semantic interpretability of topics produced by topic models.
  ☆180Updated 7 years ago
• pgcool / textTOvec
  ICLR 2019 paper: "textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR"
  ☆24Updated 6 years ago
• rajarshd / Gaussian_LDA
  ☆141Updated 5 years ago
• dallascard / neural_topic_models
  Code to accompany "A Neural Framework for Generalized Topic Models"
  ☆67Updated 6 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
• xiaohuiyan / BurstyBTM
  Code for Bursty Biterm Topic Model (published in AAAI2015)
  ☆53Updated 6 years ago
• NobodyWHU / GPUDMM
  Topic Modeling for Short Texts with Auxiliary Word Embeddings
  ☆73Updated 6 years ago
• mansweet / Gaussian-LDA-word2vec
  LDA topic modeling with word2vec using gaussian topic distributions for infinite vocabulary
  ☆51Updated 9 years ago
• valdersoul / GraphBTM
  Code for paper "GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model". Under preparation.
  ☆46Updated 6 years ago
• datquocnguyen / LFTM
  Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)
  ☆177Updated 7 years ago
• akashgit / autoencoding_vi_for_topic_models
  Tensorflow implementation for prodLDA and NVLDA.
  ☆252Updated 3 years ago
• vlukiyanov / pt-avitm
  PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)
  ☆36Updated 2 years ago
• abrazinskas / BSG
  Bayesian Skip-gram model
  ☆47Updated 4 years ago
• dangitstam / topic-rnn
  Implementation (in progress) of Dieng et al.'s TopicRNN: a neural topic model & RNN hybrid.
  ☆52Updated 6 years ago
• hyqneuron / pytorch-avitm
  PyTorch implementation of AVITM
  ☆158Updated 6 years ago
• qiang2100 / STTM
  Short Text Topic Modeling, JAVA
  ☆155Updated 4 years ago
• tca19 / dict2vec
  Dict2vec is a framework to learn word embeddings using lexical dictionaries.
  ☆114Updated 4 years ago
• yotam-happy / NEDforNoisyText
  Named Entity Disambiguation for Noisy Text
  ☆66Updated 7 years ago
• m-ochi / mglda
  mg-lda with gibbs sampling です。
  ☆22Updated 12 years ago
• pgcool / iDocNADEe
  AAAI 2019 paper: "Document Informed Neural Autoregressive Topic Models with Distributional Prior" (a Contextualized Neural Topic Model wi…
  ☆18Updated 6 years ago