Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

DELTA is a deep learning based natural language and speech processing platform.

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Open-Source Neural Machine Translation in Tensorflow

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.

Neural Machine Translation with Keras

an open-source implementation of sequence-to-sequence based speech processing engine

An open-source tool for sequence learning in NLP built on TensorFlow.

Sequence to sequence learning using TensorFlow.

A list of Neural MT implementations

End-to-end ASR/LM implementation with PyTorch

Pytorch seq2seq chatbot

Conversation models in TensorFlow. (website removed)

Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

Towards Neural Phrase-based Machine Translation

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

This repository contains the code for a video captioning system inspired by Sequence to Sequence -- Video to Text. This system takes as input a video and generates a caption in English describing the video.

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

A Keras-based library for analysis of time series data using deep learning algorithms.

Input Output Hidden Markov Model (IOHMM) in Python

Fast and accurate punctuation restoration on unsegmented text using sequence to sequence model consisting of bidirectional recurrent neural network model ( LSTM ) and attention mechanism.

The implementation of the paper "Augmenting Neural Response Generation with Context-Aware Topical Attention"

Neural machine translator for English2German translation.

Seq2SeqSharp is a tensor based fast & flexible encoder-decoder deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, many different types of encoders/decoders(Transformer, LSTM, BiLSTM and so on), multi-GPUs supported and so on.

Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach

A Neural Network based Chatbot