Alternatives and similar repositories for wvec

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

• shashankg7 / glove-theano
  GloVe Word Embedding model's implementation in theano
  ☆36Updated 8 years ago
• ParallelDots / WordEmbeddingAutoencoder
  An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
  ☆74Updated 8 years ago
• rguthrie3 / MorphologicalPriorsForWordEmbeddings
  Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings
  ☆53Updated 8 years ago
• mbartoli / deep-simplification
  Text simplification using RNNs
  ☆55Updated 9 years ago
• mdenil / txtnets
  A convolutional neural network library for NLP.
  ☆59Updated 7 years ago
• mfaruqui / non-distributional
  Non-distributional linguistic word vector representations.
  ☆62Updated 7 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.
  ☆40Updated 9 years ago
• piskvorky / word_embeddings
  Code for the blog post "Making Sense of Word2vec"
  ☆113Updated 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
• taolei87 / text_convnet
  Molding CNNs for text (http://arxiv.org/abs/1508.04112)
  ☆85Updated 9 years ago
• alvations / stasis
  Semantic Textual Similarity in Python
  ☆81Updated 8 years ago
• jwieting / charagram
  Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".
  ☆124Updated 9 years ago
• tambetm / allenAI
  ☆88Updated 9 years ago
• napsternxg / DeepSequenceClassification
  Deep neural network based model for sequence to sequence classification
  ☆76Updated 7 years ago
• jimmycallin / pydsm
  A Python framework for exploring distributional semantic models.
  ☆85Updated 9 years ago
• jiyfeng / dclm
  Document context language models
  ☆22Updated 9 years ago
• fh295 / DefGen2
  ☆86Updated 8 years ago
• cemoody / Document2Vec
  Finding document vectors from pre-trained word2vec word vectors
  ☆116Updated 10 years ago
• pdasigi / neural-semantic-encoders
  Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)
  ☆59Updated 8 years ago
• matpalm / rnn_lm
  various simple RNNs trained on synthetic grammars
  ☆30Updated 10 years ago
• SwordYork / DCNMT
  Deep Character-Level Neural Machine Translation
  ☆71Updated 8 years ago
• zseymour / phrase2vec
  Implementation of phrase2vec from modified word2vec code.
  ☆94Updated 8 years ago
• swabhs / joint-lstm-parser
  Transition-based joint syntactic dependency parser and semantic role labeler using a stack LSTM RNN architecture.
  ☆61Updated 8 years ago
• dandxy89 / DeepLearningReading
  Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)
  ☆76Updated 9 years ago
• Smerity / keras_qa
  Keras solution to the bAbI tasks using recurrent neural networks - merged as an example into Keras mainline
  ☆33Updated 10 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
• mfaruqui / sparse-coding
  Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors
  ☆55Updated 7 years ago
• chyikwei / topicModels
  topics Models extension for Mallet & scikit-learn
  ☆49Updated 8 years ago
• neubig / yrsnlp-2016
  Structured Neural Networks for NLP: From Idea to Code
  ☆59Updated 8 years ago
• leondz / entity_recognition
  framework for doing NER and other types of entity recognition, in Python
  ☆68Updated 3 years ago