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Top 61 sequence-to-sequence open source projects

Speech recognition with tensorflow
Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.
Text summarization with tensorflow
Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.
Npmt
Towards Neural Phrase-based Machine Translation
Seq2seq tutorial
Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
Video Captioning
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
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
Hred Attention Tensorflow
An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.
Sequence To Sequence 101
a series of tutorials on sequence to sequence learning, implemented with PyTorch.
Website Fingerprinting
Automatic Feature Generation for Website Fingerprinting
Nematus
Open-Source Neural Machine Translation in Tensorflow
Cluener2020
CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
Athena
an open-source implementation of sequence-to-sequence based speech processing engine
Chatlearner
A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.
Deepchatmodels
Conversation models in TensorFlow. (website removed)
pytorch-transformer-kor-eng
Transformer Implementation using PyTorch for Neural Machine Translation (Korean to English)
Seq2Seq-Tensorflow
[In-Progress] Tensorflow implementation of Sequence to Sequence Learning with Neural Networks
Natural-Language-Processing
Contains various architectures and novel paper implementations for Natural Language Processing tasks like Sequence Modelling and Neural Machine Translation.
RNNSearch
An implementation of attention-based neural machine translation using Pytorch
deep-trans
Transliterating English to Hindi using Recurrent Neural Networks
ECG-Heartbeat-Classification-seq2seq-model
Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach
CVAE Dial
CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"
Transformer-Transducer
PyTorch implementation of "Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss" (ICASSP 2020)
KBRD
Towards Knowledge-Based Recommender Dialog System @ EMNLP 2019
deep-spell-checkr
Keras implementation of character-level sequence-to-sequence learning for spelling correction
parse seq2seq
A tensorflow implementation of neural sequence-to-sequence parser for converting natural language queries to logical form.
SSIM Seq2Seq
SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data
cross-lingual-open-ie
MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models
ismir2019-music-style-translation
The code for the ISMIR 2019 paper “Supervised symbolic music style translation using synthetic data”.
1-60 of 61 sequence-to-sequence projects