Exploration of various deep neural networks for Question Answering and Reading Comprehension
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Updated
Jan 22, 2017 - Python
Exploration of various deep neural networks for Question Answering and Reading Comprehension
Building a Flask based ChatBot using seq2seq model
An AI chatbot using seq2seq
Udacity's DLND - Project 4 - Seq2seq to translate from english to french
chatbot using tensor flow seq2seq model
TensorFlow-seq2seq-Examples use embedding_rnn_seq2seq api.(under developing)
Chinese Poetry Generation
a chatbot which is implemented via seq2seq model.
A tool that allows you to easily train a Seq2Seq model, get the embeddings and the outputs without having much knowledge about deep learning.
Predict Bitcoin Price using Recurrent Neural Network
A simple language translator implemented in Keras with Flask serving web
Character-level RNN for tagging chemical entities in unparsed text.
Question answering system developed using seq2seq and memory network model in Keras
Simple keras chat bot using seq2seq model with Flask serving web
Use for sentence emotion classification.
Sequence-to-Sequence Deep Learning approach to Machine Translation
Bengali Machine Translation by using encoder-decoder with attention model
This project uses seq2seq learning model to generate abstract summaries of opinionated data.
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