Very simple example of Seq2Seq 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.

Deep Learning practice projects and tutorials. Forked from the Deep Learning Nanodegree Foundations program at Udacity.

Testing out different seq2seq models in TensorFlow, and an implementation of a neural transducer.

Sequence-to-Sequence Models

Chatbot using Seq2Seq model using Tensorflow

Configurable Encoder-Decoder Sequence-to-Sequence model. Built with TensorFlow.

使用SequenceToSequence实现的简单聊天机器人

Repo for Mincall - MinION basecaller we're working on during academic year 2016/2017.

Recurrent Neural Networks and their fun little usage

A Seq2Seq model for Tensorflow 2.0 and a few Tensorflow/Keras Seq2Seq model experiments.

A tensorflow 2.0 implementation with keras

Build A task oriented conversational model using seq2seq approaches approaches : without-Attention, with-Attention, with-Transfer Learning

include many sub-algorithms for the field of NLP

A new seq2seq model for fast training.

Seq2Seq model that restores punctuation on English input text.

Realistic Chatbot based on NLP & TensorFlow

Fine tuned Urdu to English machine translation pre train model using Hugging-Face Trainer API on custom dataset.

Implementation of Neural Machine Translation from Spanish to English