There are 6 repositories under sequence-to-sequence topic.
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
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.
Neural Machine Translation with Keras
An open-source tool for sequence learning in NLP built on TensorFlow.
Sequence to sequence learning using TensorFlow.
Pytorch seq2seq chatbot
A list of Neural MT implementations
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
Input Output Hidden Markov Model (IOHMM) in Python
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.
Towards Knowledge-Based Recommender Dialog System @ EMNLP 2019
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
Converting handwritten equations to LaTeX
A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting
Tensorflow Temporal Convolutional Network