attention model for entailment on SNLI corpus implemented in Tensorflow and Keras
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Updated
Nov 13, 2016 - Python
attention model for entailment on SNLI corpus implemented in Tensorflow and Keras
Soft attention mechanism for video caption generation
Soft attention mechanism for video caption generation
A pyTorch implementation of models used for Recognizing Textual Entailment using the SNLI corpus
Stacked attention network for open-ended visual Q&A
A deep learning implementation to detect sarcastic texts in short textual corpora.
Sentiment Analysis on Tweets based on Recurrent Neural Network and attention model, implemented using Tensorflow library.
A Keras-based library for analysis of time series data using deep learning algorithms.
CS230 Project in NLP and Deep Learning for Digital News Sentiment Analysis
attention mechanism in keras, like Dense and RNN...
Attention OCR Based On Tensorflow
Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"
Stacked attention network for answering open-ended questions about image
Final project for NLP(DATA130006) in Fudan university.
Neural Machine Translation using Attention Mechanism
Unofficial implementation algorithms of attention models on SNLI dataset
Context Awareness-Enabled Summary Attentive Reader (CAESAR)
Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.
Here a simple implementation of RNN + attention neural network on IMDB movie reviews.
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