Alternatives and similar repositories for wvec

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

• ParallelDots / WordEmbeddingAutoencoder
  An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
  ☆74Updated 8 years ago
• shashankg7 / glove-theano
  GloVe Word Embedding model's implementation in theano
  ☆36Updated 8 years ago
• rguthrie3 / MorphologicalPriorsForWordEmbeddings
  Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings
  ☆53Updated 8 years ago
• jimmycallin / pydsm
  A Python framework for exploring distributional semantic models.
  ☆85Updated 9 years ago
• mdenil / txtnets
  A convolutional neural network library for NLP.
  ☆59Updated 7 years ago
• piskvorky / word_embeddings
  Code for the blog post "Making Sense of Word2vec"
  ☆113Updated 10 years ago
• higgood / incremental-word2vec
  Modify word2vec such that it's possible to "condition" on existing embeddings for some words, and induce embeddings for new words.
  ☆39Updated 9 years ago
• mfaruqui / non-distributional
  Non-distributional linguistic word vector representations.
  ☆62Updated 7 years ago
• kedz / sumpy
  SUMPY: a python automatic text summarization library
  ☆55Updated 9 years ago
• taolei87 / text_convnet
  Molding CNNs for text (http://arxiv.org/abs/1508.04112)
  ☆85Updated 9 years ago
• mbartoli / deep-simplification
  Text simplification using RNNs
  ☆55Updated 9 years ago
• jwieting / paragram-word
  Python code for training Paragram word embeddings. These achieve human-level performance on some word similiarty tasks including SimLex-9…
  ☆30Updated 9 years ago
• leondz / entity_recognition
  framework for doing NER and other types of entity recognition, in Python
  ☆68Updated 3 years ago
• Smerity / keras_qa
  Keras solution to the bAbI tasks using recurrent neural networks - merged as an example into Keras mainline
  ☆33Updated 9 years ago
• mfaruqui / sparse-coding
  Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors
  ☆55Updated 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
• cemoody / Document2Vec
  Finding document vectors from pre-trained word2vec word vectors
  ☆116Updated 10 years ago
• napsternxg / DeepSequenceClassification
  Deep neural network based model for sequence to sequence classification
  ☆76Updated 7 years ago
• Cardal / Kaggle_AllenAIscience
  My solution for the Kaggle "Allen AI science challenge"
  ☆48Updated 9 years ago
• tambetm / allenAI
  ☆88Updated 9 years ago
• enewe101 / word2vec
  An implementation of Mikolov's word2vec in Python using Theano and Lasagne.
  ☆37Updated 7 years ago
• alvations / stasis
  Semantic Textual Similarity in Python
  ☆80Updated 8 years ago
• matpalm / rnn_lm
  various simple RNNs trained on synthetic grammars
  ☆30Updated 9 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
• karlstratos / singular
  ☆18Updated 10 years ago
• jiyfeng / dclm
  Document context language models
  ☆22Updated 9 years ago
• yiyang-gt / feat2vec
  Code of NAACL paper "Unsupervised Multi-Domain Adaptation with Feature Embeddings"
  ☆33Updated 10 years ago
• castorini / MP-CNN-Torch
  Multi-Perspective Convolutional Neural Networks for modeling textual similarity (He et al., EMNLP 2015)
  ☆106Updated 7 years ago
• awni / semantic-rntn
  Recursive Neural Tensor Network for sentiment classification
  ☆55Updated 10 years ago
• offbit / char-models
  Character level models for sentiment analysis
  ☆91Updated 8 years ago