Alternatives and similar repositories for language-identification-template

Users that are interested in language-identification-template are comparing it to the libraries listed below

• prateekjoshi565 / ULMFiT_Text_Classification
  Transfer Learning for NLP Tasks
  ☆55Updated 6 years ago
• Tony607 / Keras-Text-Transfer-Learning
  Keras + Universal Sentence Encoder = Transfer Learning for text data
  ☆33Updated 7 years ago
• parulsethi / gensim
  Topic Modelling for Humans
  ☆22Updated 7 years ago
• aspk / Quora_question_pairs_NLP_Kaggle
  Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training
  ☆18Updated 6 years ago
• ahmedbesbes / overview-and-benchmark-of-traditional-and-deep-learning-models-in-text-classification
  NLP tutorial
  ☆42Updated 7 years ago
• davidsbatista / text-classification
  An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines
  ☆110Updated 7 years ago
• CatalystCode / corpus-to-graph-ml
  This repository contains machine learning related work for the corpus to graph project, including Jupyter research notebooks and a Flask …
  ☆46Updated 9 years ago
• ashokc / Word-Embeddings-and-Document-Vectors
  An evaluation of word-embeddings for classification
  ☆32Updated 6 years ago
• pandeydivesh15 / NER-using-Deep-Learning
  A project on achieving Named-Entity Recognition using Deep Learning.
  ☆25Updated 7 years ago
• hamelsmu / ktext
  Utilities for preprocessing text for deep learning with Keras
  ☆180Updated 2 years ago
• dperezrada / keywords2vec
  ☆123Updated 2 years ago
• hamelsmu / Seq2Seq_Tutorial
  Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
  ☆138Updated 2 years ago
• GauravBh1010tt / DL-text
  Text pre-processing library for deep learning (Keras, tensorflow).
  ☆117Updated 7 years ago
• susanli2016 / Named-Entity-Extractor
  A simple Flask API for named entity extraction using spaCy Model
  ☆47Updated 6 years ago
• kavgan / phrase-at-scale
  Detect common phrases in large amounts of text using a data-driven approach. Size of discovered phrases can be arbitrary. Can be used in …
  ☆130Updated 6 years ago
• Steven-Hewitt / Entailment-with-Tensorflow
  Accompanying notebook for the Entailment with Tensorflow article.
  ☆82Updated 6 years ago
• Steven-Hewitt / QA-with-Tensorflow
  ☆143Updated 5 years ago
• aswalin / SQuAD
  Building QA system for Stanford Question Answering Dataset
  ☆248Updated 7 years ago
• davidsbatista / ConvNets-for-Sentence-Classification
  "Convolutional Neural Networks for Sentence Classification" (Kim 2014) - https://www.aclweb.org/anthology/D14-1181
  ☆53Updated 5 years ago
• aatkinson / deep-named-entity-recognition
  Use RNNs to identify entities in news queries
  ☆56Updated 9 years ago
• chen0040 / keras-question-and-answering-web-api
  Question answering system developed using seq2seq and memory network model in Keras
  ☆22Updated 7 years ago
• gamebusterz / French-Sentiment-Analysis-Dataset
  A collection of over 1.5 Million tweets data translated to French, with their sentiment.
  ☆35Updated 8 years ago
• sb1992 / NETL-Automatic-Topic-Labelling-
  Generating labels for topics automatically using neural embeddings
  ☆185Updated last month
• Dicksonchin93 / toxic_comment_classification
  Predict Toxic Comments in the wild
  ☆41Updated 6 years ago
• floydhub / named-entity-recognition-template
  Build a deep learning model for predicting the named entities from text.
  ☆55Updated 7 years ago
• er214 / spellchecker
  A spell checker built from GloVe word vectors
  ☆81Updated 7 years ago
• Tony607 / Text_multi-class_multi-label_Classification
  Reuters-21578 multi-class multi-label Classification with Keras
  ☆39Updated 7 years ago
• clips / clinspell
  Clinical spelling correction with word and character n-gram embeddings.
  ☆75Updated 3 years ago
• dadashkarimi / seq2sql
  The project contains tutorials and resources for the sequence to sql technieques.
  ☆94Updated 2 years ago
• Currie32 / Text-Summarization-with-Amazon-Reviews
  A seq2seq model that can generate summaries from fine food reviews on Amazon.
  ☆233Updated 8 years ago