Topic: attention-layer Goto Github
Some thing interesting about attention-layer
Some thing interesting about attention-layer
attention-layer,NLP - Semantic Role Labeling using GCN, Bert and Biaffine Attention Layer. Developed in Pytorch
User: andreabac3
Home Page: https://github.com/SapienzaNLP/nlp2020-hw2
attention-layer,A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)
User: deepsmoseli
attention-layer,pytorch sentiment classification example used NSMC data
User: hyejinwon
attention-layer,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.
User: jaotheboss
attention-layer,This is a deep learning network: ResNet with an attention layer that can be used on a custom data set.
User: martijnvwezel
attention-layer,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 task, but the architecture was powerful enough to understand the task that has been given to solve and produce considerably good results.
User: victor369basu
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