attention-layer

There are 0 repository under attention-layer topic.

• DeepsMoseli / Bidirectiona-LSTM-for-text-summarization-

  A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)

  deep-learninglstmtext-summarizationkerasattention-layer
  Language:Python 79

• victor369basu / CycleGAN-with-Self-Attention

  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.

  neural-networksmachine-learningdata-scienceattention-mechanismattentiontensorflowcomputer-visiongansresearch-projectattention-layercycleganconvolution-layersarchitecturediscriminatorgenerative-adversarial-networkai
  Language:Python 21

• andreabac3 / NLP-Semantic-Role-Labeling

  NLP - Semantic Role Labeling using GCN, Bert and Biaffine Attention Layer. Developed in Pytorch

  gcngcn-architecturegraph-deep-learningnlpnatural-language-processingsemantic-role-labelingsrlbertgraph-convolutional-networkbiaffine-attention-layerbiaffineattention-layerpytorchneuralneural-networkcrfconditional-random-field
  Language:Python 11

• martijnvwezel / ResNet-Attention-layer-custom-data-set

  This is a deep learning network: ResNet with an attention layer that can be used on a custom data set.

  attentiondeep-learningresnetattention-layercustom-datasetresnet-attention-layer
  Language:Python 4

• HyejinWon / pytorch-nsmc-classification

  pytorch sentiment classification example used NSMC data

  attentionattention-layercnnlstmnatural-language-processingnlpnsmcpytorchsentiment-classification
  Language:Jupyter Notebook 2

• jaotheboss / Abstractive-Summarisation

  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.

  abstractive-summarizationabstractive-text-summarizationattention-layerattention-mechanismsummarisationsummarytext
  Language:Python 2

• vatsmanish / Abstractive-summary-Using-Attention-Layer

  nlpattention-layertext-generationlstm-modelencodersummarization-algorithmhyperparameter-tuningdata-preprocessing
  Language:Jupyter Notebook 2