There are 6 repositories under sequence-to-sequence topic.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
an open-source implementation of sequence-to-sequence based speech processing engine
Open-Source Neural Machine Translation in Tensorflow
End-to-end ASR/LM implementation with PyTorch
A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.
An open-source tool for sequence learning in NLP built on TensorFlow.
Sequence to sequence learning using TensorFlow.
Pytorch seq2seq chatbot
Conversation models in TensorFlow. (website removed)
Towards Knowledge-Based Personalized Product Description Generation in E-commerce @ KDD 2019
Towards Neural Phrase-based Machine Translation
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.
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
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 web-based text annotation tool, powered by active learning :rocket:
Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach
A Keras-based library for analysis of time series data using deep learning algorithms.
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"
MWPToolkit is an open-source framework for math word problem(MWP) solvers.
Bin Packing Problem using Neural Combinatorial Optimization.
Neural machine translator for English2German translation.
Predicting protein structure through sequence modeling
A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting
Tensorflow Temporal Convolutional Network