Alternatives and similar repositories for fastText_doc2vec

Users that are interested in fastText_doc2vec are comparing it to the libraries listed below

• fbkarsdorp / doc2vec
  Tutorial and review of word2vec / doc2vec
  ☆104Updated 10 years ago
• ai-ku / wvec
  Word vectors
  ☆64Updated 7 years ago
• jimmycallin / pydsm
  A Python framework for exploring distributional semantic models.
  ☆85Updated 9 years ago
• cemoody / Document2Vec
  Finding document vectors from pre-trained word2vec word vectors
  ☆116Updated 10 years ago
• piskvorky / word_embeddings
  Code for the blog post "Making Sense of Word2vec"
  ☆113Updated 10 years ago
• jayantj / gensim
  Topic Modelling for Humans
  ☆40Updated 7 years ago
• ParallelDots / WordEmbeddingAutoencoder
  An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
  ☆74Updated 8 years ago
• nliu86 / word2vec-doc2vec
  An extension of word2vec to efficiently represent new text as vectors. New text can be query, sentence and paragraph.
  ☆67Updated 8 years ago
• alex-berard / multivec
  A Multilingual and Multilevel Representation Learning Toolkit for NLP
  ☆117Updated 7 years ago
• jwieting / charagram
  Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".
  ☆124Updated 9 years ago
• myleott / ark-twokenize-py
  Python port of the Twokenize class of ark-tweet-nlp
  ☆142Updated 7 years ago
• offbit / char-models
  Character level models for sentiment analysis
  ☆91Updated 8 years ago
• leondz / entity_recognition
  framework for doing NER and other types of entity recognition, in Python
  ☆68Updated 3 years ago
• zseymour / phrase2vec
  Implementation of phrase2vec from modified word2vec code.
  ☆94Updated 8 years ago
• brendano / stanford_corenlp_pywrapper
  ☆151Updated 5 years ago
• gouwsmeister / bilbowa
  Open-source implementation of the BilBOWA (Bilingual Bag-of-Words without Alignments) word embedding model.
  ☆69Updated 3 years ago
• mfaruqui / non-distributional
  Non-distributional linguistic word vector representations.
  ☆62Updated 7 years ago
• napsternxg / DeepSequenceClassification
  Deep neural network based model for sequence to sequence classification
  ☆76Updated 7 years ago
• giacbrd / ShallowLearn
  An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some addit…
  ☆198Updated 7 years ago
• uhh-lt / sensegram
  Making sense embedding out of word embeddings using graph-based word sense induction
  ☆213Updated 4 years ago
• jaredks / tweetokenize
  Tokenization and pre-processing for Twitter data used to train classifiers.
  ☆72Updated 8 years ago
• travisbrady / word2phrase
  Python port of Mikolov's word2phrase.c from the word2vec toolkit
  ☆111Updated 5 years ago
• kedz / sumpy
  SUMPY: a python automatic text summarization library
  ☆55Updated 9 years ago
• TaddyLab / deepir
  deep inverse regression
  ☆31Updated 9 years ago
• datquocnguyen / LFTM
  Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)
  ☆177Updated 8 years ago
• castanan / w2v
  Word2Vec models with Twitter data using Spark. Blog:
  ☆65Updated 6 years ago
• uwdata / termite-visualizations
  [development moved to termite-data-server]
  ☆61Updated 11 years ago
• vladsandulescu / topics
  Topic modeling with gensim and LDA
  ☆168Updated 8 years ago
• soroushv / Tweet2Vec
  Code for the implementation of Tweet2Vec
  ☆61Updated 7 years ago
• fh295 / SentenceRepresentation
  ☆124Updated 8 years ago