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Topic: "rnn-models"

eliyetres/lt2316-ht19-a2

A binary classification task for identifying speakers in a dialogue, training using a RNN with attention and BERT on data from the British parliment.

Language: Python - Size: 69.5 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

kochlisGit/LSTM-Stock-Predictions

Prediction of Stock price using Recurrent Neural Network (RNN) models. Contains GRU, LSTM, Bidirection LSTM & LSTM combinations with GRU units. The models were deveoped using the keras module from Tensorlfow.

Language: Python - Size: 8.9 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

michimichiamo/pos-tagging

Training three different RNN models on a portion of Penn Treebank data to perform POS-tagging

Language: Jupyter Notebook - Size: 42 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Related Topics
dataset 1 google 1 gru 1 keras 1 lstm 1 lstm-neural-network 1 prediction-algorithms 1 prediction-model 1 python 1 recurrent-neural-networks 1 rnn 1 rnn-architectures 1 stock-price 1 stocks-prediction 1 tensorflow2 1 tesla 1 attention 1 bert 1 bert-model 1 binary-classification 1 classifier 1 rnn-network 1 sentence-pair-classification 1 sentences 1 speaker 1 embeddings 1 glove-embeddings 1 pos-tags 1 sequence-labelling 1