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7 search results found

Melusine ⭐ 335

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

Text Classification Lstms Pytorch ⭐ 31

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

Omnicat Bayes ⭐ 29

Naive Bayes text classification implementation as an OmniCat classifier strategy. (#ruby #naivebayes)

Flask Deep Learning Nlp Api ⭐ 23

Flask API to productize a document classification model. Classification model was built using Keras with tensorflow backend

Question Classification With Multi Level Attention Mechanism And Keras ⭐ 15

question classification with multi-level attention mechanism 使用多层级注意力机制和keras实现问题分类

Bag Of Tricks For Efficient Text Classification ⭐ 5

Implementation of 'Bag of Tricks for Efficient Text Classification' in PyTorch using TorchText

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