Alternatives and similar repositories for word2vec-keras-in-gensim

Users that are interested in word2vec-keras-in-gensim 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
• ai-ku / wvec
  Word vectors
  ☆64Updated 7 years ago
• hanxiao / encoding-blocks
  Code for my blog post
  ☆49Updated 6 years ago
• mfaruqui / non-distributional
  Non-distributional linguistic word vector representations.
  ☆62Updated 7 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
• shashankg7 / Seq2Seq
  Library to train parallel-aligned sequence data based on Keras
  ☆51Updated 8 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
• kostyaev / sentence2vec
  Deep sentence embedding using Sequence to Sequence learning
  ☆21Updated 8 years ago
• anayebi / CS-224U-Project
  Recurrent versus Recursive Approaches Towards Compositionality in Semantic Vector Spaces.
  ☆13Updated 3 years ago
• rguthrie3 / MorphologicalPriorsForWordEmbeddings
  Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings
  ☆53Updated 8 years ago
• neubig / lxmls-2017
  Slides/code for the Lisbon machine learning school 2017
  ☆28Updated 7 years ago
• mbartoli / deep-simplification
  Text simplification using RNNs
  ☆55Updated 9 years ago
• mikesj-public / rnn_spelling_bee
  ☆45Updated 8 years ago
• neubig / yrsnlp-2016
  Structured Neural Networks for NLP: From Idea to Code
  ☆59Updated 8 years ago
• flrngel / TagSpace-tensorflow
  Tensorflow implementation of Facebook TagSpace
  ☆73Updated 6 years ago
• jimmycallin / pydsm
  A Python framework for exploring distributional semantic models.
  ☆85Updated 9 years ago
• offbit / char-models
  Character level models for sentiment analysis
  ☆91Updated 8 years ago
• lopuhin / python-adagram
  AdaGram (adaptive skip-gram) for Python
  ☆74Updated 8 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
• taolei87 / text_convnet
  Molding CNNs for text (http://arxiv.org/abs/1508.04112)
  ☆85Updated 8 years ago
• napsternxg / DeepSequenceClassification
  Deep neural network based model for sequence to sequence classification
  ☆76Updated 7 years ago
• AYLIEN / adversarial-document-model
  Code needed to reproduce "Modeling documents with Generative Adversarial Networks"
  ☆38Updated 7 years ago
• UKPLab / emnlp2017-graphdocexplore
  Accompanying code for our EMNLP 2017 publication "GraphDocExplore: A Framework for the Experimental Comparison of Graph-based Document Ex…
  ☆28Updated 2 years ago
• sindbach / doc2vec_pymongo
  Machine learning prediction of movies genres using Gensim's Doc2Vec and PyMongo - (Python, MongoDB)
  ☆36Updated 2 years ago
• alno / batch-learn
  ☆49Updated 7 years ago
• JonathanRaiman / wikipedia_ner
  Labeled examples from wiki dumps in Python
  ☆67Updated 8 years ago
• spinningbytes / deep-mlsa
  Code for WWW 2017 conference paper "Leveraging large amounts of weakly supervised data for multi-language sentiment classification"
  ☆36Updated 6 years ago
• Cardal / Kaggle_AllenAIscience
  My solution for the Kaggle "Allen AI science challenge"
  ☆48Updated 9 years ago
• cjf00000 / ScaCTM
  Scalable inference for Correlated Topic Models
  ☆30Updated 10 years ago