self-attentive-rnn

Here are 13 public repositories matching this topic...

kaushalshetty / Structured-Self-Attention

A Structured Self-attentive Sentence Embedding

visualization deep-learning python3 pytorch classification attention attention-mechanism attention-model sentence-embeddings self-attentive-rnn self-attention attention-weights

Updated Sep 22, 2019
Python

cbaziotis / neat-vision

Star

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

visualization nlp natural-language-processing vuejs deep-learning attention deep-learning-library attention-mechanism text-visualization attention-mechanisms deep-learning-visualization self-attentive-rnn self-attention attention-visualization attention-scores

Updated May 4, 2018
Vue

flrngel / Self-Attentive-tensorflow

Star

Tensorflow implementation of "A Structured Self-Attentive Sentence Embedding"

tensorflow attention self-attentive-rnn self-attention

Updated Sep 8, 2021
Python

timbmg / Structured-Self-Attentive-Sentence-Embedding

Sponsor

Star

Re-Implementation of "A Structured Self-Attentive Sentence Embedding" by Lin et al., 2017

nlp machine-learning deep-learning sentiment-analysis text-classification pytorch recurrent-neural-networks neural-networks attention yelp-dataset vizualisation self-attentive-rnn self-attention

Updated May 30, 2025
Python

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 May 11, 2025
Python

keya-desai / Natural-Language-Processing

Star

Python implementation of N-gram Models, Log linear and Neural Linear Models, Back-propagation and Self-Attention, HMM, PCFG, CRF, EM, VAE

natural-language-processing n-grams log-linear-model em-algorithm hmm-viterbi-algorithm crf-model self-attentive-rnn self-attention pcfg vae-implementation

Updated Aug 20, 2020
Python

arunarn2 / StructuredSelfAttentionTensorflow

Star

Structured Self Attention implementation in tensorflow

rnn attention-mechanism rnn-tensorflow bilstm self-attentive-rnn self-attention structured-self-attention

Updated Oct 10, 2018
Python

arianhosseini / MemArchs-in-RNNLM

Star

attempt at implementing "Memory Architectures in Recurrent Neural Network Language Models" as a part of the ICLR 2018 reproducibility challenge

deep-learning language-modeling rnn-language-model stack-rnn self-attentive-rnn

Updated Dec 23, 2017
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

yaya-1302 / SAN-HeadlineClickBait

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Aplikasi ini dibuat untuk membantu pengguna dalam menentukan apakah sebuah berita yang ingin dibaca termasuk clickbait atau bukan.

indonesian-language self-attentive-rnn clickbait-detection

Updated Jan 2, 2023
CSS

shikhararyan / Text-Classification-Transformer-Model-

Star

This sentiment analysis model utilizes a Transformer architecture to classify text sentiment into positive, negative, or neutral categories with high accuracy. It preprocesses text data, trains the model on the IMDB dataset, and effectively predicts sentiment based on user input.

deep-learning transformer padding nlp-machine-learning tokenization self-attentive-rnn label-encoding