Alternatives and similar repositories for docnade

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

• hugochan / KATE
  Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"
  ☆146Updated 2 years ago
• piskvorky / word_embeddings
  Code for the blog post "Making Sense of Word2vec"
  ☆113Updated 11 years ago
• jwieting / charagram
  Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".
  ☆124Updated 9 years ago
• ParallelDots / WordEmbeddingAutoencoder
  An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
  ☆74Updated 8 years ago
• fh295 / SentenceRepresentation
  ☆125Updated 8 years ago
• Ardavans / sHDP
  Nonparametric Topic Modeling with Word Vectors
  ☆75Updated 8 years ago
• cvangysel / cuNVSM
  Neural Vector Space Models
  ☆49Updated 7 years ago
• offbit / char-models
  Character level models for sentiment analysis
  ☆91Updated 8 years ago
• uhh-lt / sensegram
  Making sense embedding out of word embeddings using graph-based word sense induction
  ☆213Updated 4 years ago
• rajarshd / Gaussian_LDA
  ☆144Updated 6 years ago
• alvations / stasis
  Semantic Textual Similarity in Python
  ☆80Updated 8 years ago
• lopuhin / python-adagram
  AdaGram (adaptive skip-gram) for Python
  ☆74Updated 8 years ago
• mariru / exponential_family_embeddings
  Bernoulli Embeddings for Text
  ☆84Updated 8 years ago
• pdasigi / neural-semantic-encoders
  Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)
  ☆59Updated 9 years ago
• mead-ml / mead-baseline
  Deep-Learning Model Exploration and Development for NLP
  ☆244Updated 2 years ago
• napsternxg / DeepSequenceClassification
  Deep neural network based model for sequence to sequence classification
  ☆76Updated 8 years ago
• cedricdeboom / RepresentationLearning
  Code base for representation learning of very short texts, such as tweets. By Cedric De Boom, IBCN, Ghent University, Belgium.
  ☆34Updated 9 years ago
• ai-ku / wvec
  Word vectors
  ☆64Updated 7 years ago
• rguthrie3 / MorphologicalPriorsForWordEmbeddings
  Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings
  ☆53Updated 9 years ago
• hanxiao / encoding-blocks
  Code for my blog post
  ☆50Updated 7 years ago
• larsmaaloee / deep-belief-nets-for-topic-modeling
  This repository is a proof of concept toolbox for using Deep Belief Nets for Topic Modeling in Python.
  ☆144Updated 10 years ago
• seomoz / word2gauss
  Gaussian word embeddings
  ☆190Updated 7 years ago
• travisbrady / word2phrase
  Python port of Mikolov's word2phrase.c from the word2vec toolkit
  ☆111Updated 5 years ago
• ehsansherkat / ConVec
  In this project, we use skip-gram model to embed Wikipedia Concepts and Entities. The English version of Wikipedia contains more than fiv…
  ☆57Updated 8 years ago
• mfaruqui / non-distributional
  Non-distributional linguistic word vector representations.
  ☆62Updated 8 years ago
• dallascard / neural_topic_models
  Code to accompany "A Neural Framework for Generalized Topic Models"
  ☆67Updated 7 years ago
• benathi / word2gm
  Word to Gaussian Mixture Model
  ☆283Updated 6 years ago
• johnb30 / py_crepe
  Keras implementation of the Crepe character-level convolutional neural net.
  ☆75Updated 7 years ago
• BarakOshri / TextualReconstructor
  Training autoencoders to reconstruct text to generate valuable summarizations of sentences or paragraphs
  ☆39Updated 10 years ago
• ikekonglp / TweeboParser
  A Dependency Parser for Tweets
  ☆78Updated 6 years ago