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
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
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
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