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self-attentive-rnn

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AREnets

nicolay-r / AREnets

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Tensorflow-based framework which lists attentive implementation of the conventional neural network models (CNN, RNN-based), applicable for Relation Extraction classification tasks as well as API for custom model implementation

nlp neural-network tensorflow ml cnn lstm classification rnn attention pcnn nlp-machine-learning cnn-model relation-extraction bilstm self-attentive-rnn self-attention cnn-attention rcnn-model
  • Updated Nov 8, 2023
  • Python

ranfysvalle02 / ai-self-attention

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This repository provides a basic implementation of self-attention. The code demonstrates how attention mechanisms work in predicting the next word in a sequence. It's a basic implementation that demonstrates the core concept of attention but lacks the complexity of more advanced models like Transformers.

python machine-learning ml python3 rnn attention-mechanism rnn-model attention-is-all-you-need self-attentive-rnn self-attention transformer-architecture self-attention-implementation
  • Updated Sep 23, 2024
  • Python

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