A neural network based chatbot
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Updated
Mar 15, 2017 - Python
A neural network based chatbot
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
A chatbot using Tensorflow and Cornell Universities movie dialogue dataset.
An AI chatbot using seq2seq
emotional dialogue genertion
chatbot using tensor flow seq2seq model
A generative-model based chatbot trained with Chinese corpus
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.
Chatbot developed in PyTorch and Keras for the final project of the module Natural Language Processing (Spring 2017) at Sapienza University of Rome.
A neural conversation model implementation in Spanish built with Tensor Flow
Game Of Thrones Generative ChatBot Trained using Seq2Seq Model on Game Of Thrones Subs and Book data
ChatBot Trained using Seq2Seq Model on Mahabharatha Subtitles
Facebook chatbot that I trained to talk like me using Word2Vec, and LSTMs to build a Sequence to Sequence Model
STEVE will be a deep learning general purpose chatbot. Initially it will be completely useless but fun. Later on it could turn useful.
Chatbot using Seq2Seq model using Tensorflow
Configurable Encoder-Decoder Sequence-to-Sequence model. Built with TensorFlow.
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