A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.
-
Updated
Nov 13, 2019 - Python
A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.
TURJUMAN, a neural toolkit for translating from 20 languages into Modern Standard Arabic (MSA).
A Chinese to English Neural Model Translation Project
Neural Machine Translation for RDFS reasoning: code and datasets for "Deep learning for noise-tolerant RDFS reasoning" http://www.semantic-web-journal.net/content/deep-learning-noise-tolerant-rdfs-reasoning-4
Implementation of Character level NMT(Neural Machine Translation) using RNN and Attention Wrapper
A web application to display the retrosynthetic reaction pathway using FLASK
This is the sequential Encoder-Decoder implementation of Neural Machine Translation using Keras
whole package for seq2seq nmt model, machine translation.
Neural Machine Translation using Attention Mechanism
French to English neural machine translation trained on multi30k dataset.
Neural Machine Translator with Transformers. Implementation for "Attention Is All You Need" paper
detransliteration library and tools
Neural Machine Translation with attention mechanism
Implementation of LSTM and GRU for the English-Vietnamese (IWSLT'15) dataset.
Implemented transformer NN block for Machine translation, text classfication, Natural language inference as well as Machine reading comprehension model.
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.
Add a description, image, and links to the nmt-model topic page so that developers can more easily learn about it.
To associate your repository with the nmt-model topic, visit your repo's landing page and select "manage topics."