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

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

Neural Machine Translation with Keras

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

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

Sequence to sequence learning using TensorFlow.

A list of Neural MT implementations

Conversation models in TensorFlow. (website removed)

Pytorch seq2seq chatbot

End-to-end ASR/LM implementation with PyTorch

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

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"

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.

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.

Input Output Hidden Markov Model (IOHMM) in Python

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.

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

A Neural Network based Chatbot

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

An implementation of RNNsearch using TensorFlow