Alternatives and similar repositories for py_crepe:

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

• offbit / char-models
  Character level models for sentiment analysis
  ☆91Updated 7 years ago
• jwieting / charagram
  Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".
  ☆124Updated 8 years ago
• napsternxg / DeepSequenceClassification
  Deep neural network based model for sequence to sequence classification
  ☆77Updated 7 years ago
• alvations / stasis
  Semantic Textual Similarity in Python
  ☆79Updated 8 years ago
• cemoody / Document2Vec
  Finding document vectors from pre-trained word2vec word vectors
  ☆115Updated 9 years ago
• ParallelDots / WordEmbeddingAutoencoder
  An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
  ☆74Updated 8 years ago
• uhh-lt / sensegram
  Making sense embedding out of word embeddings using graph-based word sense induction
  ☆212Updated 3 years ago
• gelsto / SpeakEasy-AI
  SpeakEasy is a machine learning project that aims to detect patterns in conversational responses.
  ☆82Updated 8 years ago
• ai-ku / wvec
  Word vectors
  ☆64Updated 6 years ago
• mikesj-public / rnn_spelling_bee
  ☆45Updated 8 years ago
• taolei87 / text_convnet
  Molding CNNs for text (http://arxiv.org/abs/1508.04112)
  ☆85Updated 8 years ago
• mdenil / txtnets
  A convolutional neural network library for NLP.
  ☆60Updated 7 years ago
• jarfo / kchar
  Character-Aware Neural Language Models. A keras-based implementation
  ☆118Updated 3 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
• shashankg7 / Seq2Seq
  Library to train parallel-aligned sequence data based on Keras
  ☆51Updated 7 years ago
• mead-ml / mead-baseline
  Deep-Learning Model Exploration and Development for NLP
  ☆243Updated last year
• zseymour / phrase2vec
  Implementation of phrase2vec from modified word2vec code.
  ☆94Updated 8 years ago
• nadbordrozd / text-top-model
  Benchmarking text classification algorithms
  ☆64Updated 7 years ago
• jimmycallin / pydsm
  A Python framework for exploring distributional semantic models.
  ☆85Updated 9 years ago
• niitsuma / word2vec-keras-in-gensim
  word2vec uisng keras inside gensim
  ☆206Updated 8 years ago
• piskvorky / word_embeddings
  Code for the blog post "Making Sense of Word2vec"
  ☆113Updated 10 years ago
• Smerity / keras_snli
  Simple Keras model that tackles the Stanford Natural Language Inference (SNLI) corpus using summation and/or recurrent neural networks
  ☆264Updated 8 years ago
• BarakOshri / TextualReconstructor
  Training autoencoders to reconstruct text to generate valuable summarizations of sentences or paragraphs
  ☆39Updated 9 years ago
• ReactiveCJ / SentenceEmbedding
  Code for Context is Everything: Finding Meaning Statistically in Semantic Spaces.
  ☆16Updated 6 years ago
• rguthrie3 / MorphologicalPriorsForWordEmbeddings
  Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings
  ☆52Updated 8 years ago
• jayantj / gensim
  Topic Modelling for Humans
  ☆40Updated 7 years ago
• shagunsodhani / CNN-Sentence-Classifier
  Implementation of "Convolutional Neural Networks for Sentence Classification" paper
  ☆142Updated 7 years ago
• fh295 / SentenceRepresentation
  ☆125Updated 8 years ago
• aatkinson / deep-named-entity-recognition
  Use RNNs to identify entities in news queries
  ☆56Updated 8 years ago
• jwieting / iclr2016
  Python code for training all models in the ICLR paper, "Towards Universal Paraphrastic Sentence Embeddings". These models achieve strong …
  ☆192Updated 9 years ago