There are 9 repositories under sequence-to-sequence topic.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Large Concept Models: Language modeling in a sentence representation space
DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/
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.
Interpretability for sequence generation models 🐛 🔍
An open-source tool for sequence learning in NLP built on TensorFlow.
Pytorch seq2seq chatbot
Sequence to sequence learning using TensorFlow.
Conversation models in TensorFlow. (website removed)
A web-based document annotation tool, powered by GPT-4 :rocket:
PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
Towards Knowledge-Based Personalized Product Description Generation in E-commerce @ KDD 2019
Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on.
Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach
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.
MWPToolkit is an open-source framework for math word problem(MWP) solvers.
Machine Learning and having it Deep and Structured (MLDS) in 2018 spring
A dataset for training/evaluating Question Answering Retrieval models on ChatGPT responses with the possibility to training/evaluating on real human responses.
Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting
A Keras-based library for analysis of time series data using deep learning algorithms.
Predicting protein structure through sequence modeling