A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)
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Oct 22, 2018 - Python
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attention-layer
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In this repository, I have developed a CycleGAN architecture with embedded Self-Attention Layers, that could solve three different complex tasks. Here the same principle Neural Network architecture has been used to solve the three different task. Although truth be told, my model has not exceeded any state of the art performances for the given ta…
data-science machine-learning ai computer-vision tensorflow architecture discriminator generative-adversarial-network neural-networks attention research-project gans attention-mechanism cyclegan attention-layer convolution-layers
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Jan 26, 2022 - Python
NLP - Semantic Role Labeling using GCN, Bert and Biaffine Attention Layer. Developed in Pytorch
nlp natural-language-processing neural-network crf pytorch neural bert gcn srl semantic-role-labeling biaffine graph-convolutional-network attention-layer gcn-architecture graph-deep-learning conditional-random-field biaffine-attention-layer
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Sep 12, 2020 - Python
This is a deep learning network: ResNet with an attention layer that can be used on a custom data set.
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Dec 23, 2020 - Python
nlp encoder text-generation lstm-model data-preprocessing hyperparameter-tuning attention-layer summarization-algorithm
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Jul 13, 2020 - Jupyter Notebook
pytorch sentiment classification example used NSMC data
nlp natural-language-processing cnn pytorch lstm attention sentiment-classification attention-layer nsmc
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Jul 20, 2021 - Jupyter Notebook
Using a deep learning model that takes advantage of LSTM and a custom Attention layer, we create an algorithm that is able to train on reviews and existent summaries to churn out and generate brand new summaries of its own.
text summary attention-mechanism abstractive-text-summarization abstractive-summarization summarisation attention-layer
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Mar 25, 2023 - Python
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