Alternatives and similar repositories for How-to-use-SyntaxNet

Users that are interested in How-to-use-SyntaxNet are comparing it to the libraries listed below

• harpribot / deep-summarization
  Uses Recurrent Neural Network (LSTM/GRU/basic_RNN units) for summarization of amazon reviews
  ☆132Updated 7 years ago
• alvations / stasis
  Semantic Textual Similarity in Python
  ☆80Updated 8 years ago
• siddk / deep-nlp
  Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models.
  ☆47Updated 9 years ago
• yuhui-lin / text-classification
  deep learning models for text classification written in TensorFlow(Python).
  ☆61Updated 3 years ago
• hanxiao / daanet
  DAANet: Dual Ask-Answer Network for Machine Reading Comprehension
  ☆144Updated 7 years ago
• Steven-Hewitt / Entailment-with-Tensorflow
  Accompanying notebook for the Entailment with Tensorflow article.
  ☆82Updated 6 years ago
• aatkinson / deep-named-entity-recognition
  Use RNNs to identify entities in news queries
  ☆56Updated 9 years ago
• akanimax / natural-language-summary-generation-from-structured-data
  Implementation of the paper -> https://arxiv.org/abs/1709.00155. For converting information present in the form of structured data into n…
  ☆187Updated 6 years ago
• GauravBh1010tt / DL-text
  Text pre-processing library for deep learning (Keras, tensorflow).
  ☆117Updated 7 years ago
• tambetm / allenAI
  ☆88Updated 9 years ago
• ilkarman / NLP-Sentiment
  Various NLP methods (in python) to perform sentiment analysis
  ☆77Updated 8 years ago
• guillitte / pytorch-sentiment-neuron
  ☆188Updated 7 years ago
• batzner / tensorlm
  Wrapper library for text generation / language models at character and word level with RNNs in TensorFlow
  ☆60Updated 3 years ago
• abhaikollara / CNN-Sentence-Classification
  A tensorflow implementation of Convolutional Neural Networks for Sentence Classification
  ☆76Updated 8 years ago
• vsl9 / Sentiment-Analysis-with-Convolutional-Networks
  Convolutional Neural Network model for Sentiment Analysis of IMDB movie reviews
  ☆65Updated 8 years ago
• bwbaugh / causeofwhy
  The goal of this project is to implement a Question Answering (QA) system that answers causal type questions. We use Wikipedia as a knowl…
  ☆102Updated 12 years ago
• guillaume-chevalier / GloVe-as-a-TensorFlow-Embedding-Layer
  Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send…
  ☆90Updated 7 years ago
• hohoCode / textSimilarityConvNet
  Semantic Similarity Measurement of Texts using Convolutional Neural Networks (He et al., EMNLP 2015)
  ☆43Updated 8 years ago
• surmenok / TextSum
  Preparing a dataset for TensorFlow text summarization (TextSum) model.
  ☆145Updated 8 years ago
• DongjunLee / conversation-tensorflow
  TensorFlow implementation of Conversation Models
  ☆142Updated 7 years ago
• ArdalanM / gensim2tensorboard
  Train word embeddings with Gensim and vizualize them with TensorBoard
  ☆34Updated 6 years ago
• offbit / char-models
  Character level models for sentiment analysis
  ☆91Updated 8 years ago
• microsoft / LMChallenge
  A library & tools to evaluate predictive language models.
  ☆63Updated 2 years ago
• dandxy89 / DeepLearningReading
  Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)
  ☆76Updated 9 years ago
• stanfordnlp / stanza-old
  Stanford NLP group's shared Python tools.
  ☆137Updated 7 years ago
• brmson / Sentence-selection
  Answer Sentence Selection using Deep Learning
  ☆63Updated 9 years ago
• jayantj / gensim
  Topic Modelling for Humans
  ☆40Updated 7 years ago
• bwallace / CNN-for-text-classification
  A simple CNN implementation in Keras.
  ☆30Updated 9 years ago
• bplank / bilstm-aux
  Bidirectional Long-Short Term Memory tagger (bi-LSTM) (in DyNet) -- hierarchical (with word and character embeddings)
  ☆123Updated 2 years ago
• jwieting / charagram
  Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".
  ☆124Updated 9 years ago