self-attentive-rnn

There are 1 repository under self-attentive-rnn topic.

kaushalshetty / Structured-Self-Attention
A Structured Self-attentive Sentence Embedding
attention-mechanism attention-model self-attention self-attentive-rnn pytorch deep-learning python3 attention visualization classification sentence-embeddings attention-weights
Language:Python 494
cbaziotis / neat-vision
Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)
attention attention-mechanism attention-visualization attention-scores text-visualization deep-learning deep-learning-visualization vuejs nlp natural-language-processing attention-mechanisms visualization deep-learning-library self-attention self-attentive-rnn
Language:Vue 250
flrngel / Self-Attentive-tensorflow
Tensorflow implementation of "A Structured Self-Attentive Sentence Embedding"
attention self-attention self-attentive-rnn tensorflow
Language:Python 193
timbmg / Structured-Self-Attentive-Sentence-Embedding
Re-Implementation of "A Structured Self-Attentive Sentence Embedding" by Lin et al., 2017
attention deep-learning machine-learning neural-networks nlp pytorch recurrent-neural-networks self-attention self-attentive-rnn sentiment-analysis text-classification vizualisation yelp-dataset
Language:Python 24
AREnets
nicolay-r / AREnets
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
attention bilstm cnn-model lstm pcnn rnn tensorflow neural-network classification ml nlp nlp-machine-learning cnn-attention rcnn-model self-attention self-attentive-rnn relation-extraction cnn
Language:Python 7
arianhosseini / MemArchs-in-RNNLM
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 self-attentive-rnn stack-rnn
Language:Python 5
arunarn2 / StructuredSelfAttentionTensorflow
Structured Self Attention implementation in tensorflow
attention-mechanism bilstm rnn rnn-tensorflow self-attention self-attentive-rnn structured-self-attention
Language:Python 5
keya-desai / Natural-Language-Processing
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 hmm-viterbi-algorithm pcfg crf-model em-algorithm vae-implementation n-grams log-linear-model self-attention self-attentive-rnn
Language:Python 4
yaya-1302 / SAN-HeadlineClickBait
Aplikasi ini dibuat untuk membantu pengguna dalam menentukan apakah sebuah berita yang ingin dibaca termasuk clickbait atau bukan.
clickbait-detection indonesian-language self-attentive-rnn
Language:CSS 2
hiraokusky / Jatext-Classification
Jatext Classification
python3 deep-learning self-attentive-rnn visualization japanese-language
Language:Python 1
PrashantRanjan09 / Structured-Self-Attentive-Sentence-Embedding
Implementation of the Paper Structured Self-Attentive Sentence Embedding published in ICLR 2017
attention attention-mechanism deep-learning iclr2017 pytorch self-attention self-attentive-rnn text-classification
Language:Python 1
shikhararyan / Text-Classification-Transformer-Model-
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 label-encoding nlp-machine-learning padding self-attentive-rnn tokenization transformer
Language:Jupyter Notebook 1