Configurable Encoder-Decoder Sequence-to-Sequence model. Built with TensorFlow.
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Updated
Oct 1, 2018 - Python
Configurable Encoder-Decoder Sequence-to-Sequence model. Built with TensorFlow.
A new seq2seq model for fast training.
Testing out different seq2seq models in TensorFlow, and an implementation of a neural transducer.
Chatbot using Seq2Seq model using Tensorflow
Realistic Chatbot based on NLP & TensorFlow
include many sub-algorithms for the field of NLP
Seq2Seq model that restores punctuation on English input text.
Recurrent Neural Networks and their fun little usage
Implementation of Neural Machine Translation from Spanish to English
Introduction nmt-chatbot is the implementation of chatbot using NMT - Neural Machine Translation (seq2seq). Includes BPE/WPM-like tokenizator (own implementation). Main purpose of that project is to make an NMT chatbot, but it's fully compatible with NMT and still can be used for sentence translations between two languages.
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