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Multi Class Text Classification Cnn Rnn ⭐ 554

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Keras_snli ⭐ 265

Simple Keras model that tackles the Stanford Natural Language Inference (SNLI) corpus using summation and/or recurrent neural networks

Layer Norm ⭐ 236

Code and models from the paper "Layer Normalization"

A Joint Chinese segmentation and POS tagger based on bidirectional GRU-CRF

nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.

Tweet Classify ⭐ 45

Tweet Classification using RNN and CNN

Overview And Benchmark Of Traditional And Deep Learning Models In Text Classification ⭐ 38

Implementation of the paper "Hierarchical GRU for Utterance-level Emotion Recognition" in NAACL-2019.

Rnn_sent ⭐ 34

Recurrent neural networks and Dynamic memory networks for sentiment classification

Explainable Automated Medical Coding ⭐ 32

Implementation and demo of explainable coding of clinical notes with Hierarchical Label-wise Attention Networks (HLAN)

Identifying Human Mobility via Trajectory Embeddings(TUL)

Image Captioning ⭐ 16

Image Captioning from scratch

Toxic Comment Classification ⭐ 15

Solution to run NN Keras models for Kaggle competition 'Toxic Comment Classification Challenge'

hacking on the stanford natural language inference (SNLI) corpus (in theano)

Subjectivity_classifier ⭐ 11

Detects if a sentence is in a subjective or objective form

Haplophysh ⭐ 9

🎣 Using deep learning (word level and character level embeddings combined with GRU layers) to detect Phishing using the URL

A neural network library for natural language processing written in pure Clojure

Siamesenet Text Similarity ⭐ 7

Short text similarity matching model based on deep learning and machine learning

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