Seq2seq Chatbot with Attention Mechanism
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Updated
Aug 25, 2019 - Python
Seq2seq Chatbot with Attention Mechanism
Code and Configuration for Bringing self-attention architectures into real world scenarios
Facebook chatbot that I trained to talk like me using Word2Vec, and LSTMs to build a Sequence to Sequence Model
Automatic Response Generation to Conversational Stimuli
Use a Seq2Seq model to Train a ChatBot
chatbot using tensor flow seq2seq model
STEVE will be a deep learning general purpose chatbot. Initially it will be completely useless but fun. Later on it could turn useful.
This repository is base on Pytorch Tutorial with some experiments and refined.
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
Seq2Seq ChatBot
A python based chat-bot based on deep seq2seq model trained to talk and interact like a friend. The system uses a encoder-decoder architecture with each block being a LSTM model. The models were trained on the Movie Dialog dataset and the end product was an interactive python app which could hold a good conversation with a human.
Tensorflow implementation of Seq2Seq-based chatbot (Attention)
The sequence-to sequence model implemented by pytorch
Recommender and Chatbot Systems
A english chatbot build using seq2seq model
A personified chatbot responding to a query based on the answering pattern of Dr. APJ Abdul Kalam using Information Retrieval, Natural Language Processing, and Deep Learning techniques.
AIParrot is an intelligent conversational AI that uses machine learning to generate responses to a given question.
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