sequence-to-sequence

Delta-ML/delta

DELTA is a deep learning based natural language and speech processing platform.

NVIDIA/OpenSeq2Seq

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

CLUEbenchmark/CLUENER2020

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

awslabs/sockeye

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

athena-team/athena

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

EdinburghNLP/nematus

Open-Source Neural Machine Translation in Tensorflow

Shark-NLP/DiffuSeq

[ICLR'23] DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

hirofumi0810/neural_sp

End-to-end ASR/LM implementation with PyTorch

bshao001/ChatLearner

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

lvapeab/nmt-keras

Neural Machine Translation with Keras

ufal/neuralmonkey

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

jayparks/tf-seq2seq

Sequence to sequence learning using TensorFlow.

ywk991112/pytorch-chatbot

Pytorch seq2seq chatbot

jonsafari/nmt-list

A list of Neural MT implementations

Gurupradeep/deeplearning.ai-Assignments

inseq-team/inseq

Interpretability for sequence generation models 🐛 🔍

mckinziebrandon/DeepChatModels

Conversation models in TensorFlow. (website removed)

THUDM/KOBE

Towards Knowledge-Based Personalized Product Description Generation in E-commerce @ KDD 2019

samueldobbie/markup

A web-based document annotation tool, powered by GPT-4 :rocket:

KasperGroesLudvigsen/influenza_transformer

PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"

MousaviSajad/SleepEEGNet

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

zhongkaifu/Seq2SeqSharp

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.

posenhuang/NPMT

Towards Neural Phrase-based Machine Translation

MousaviSajad/ECG-Heartbeat-Classification-seq2seq-model

Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach

vijayvee/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.

LYH-YF/MWPToolkit

MWPToolkit is an open-source framework for math word problem(MWP) solvers.

Mogeng/IOHMM

Input Output Hidden Markov Model (IOHMM) in Python

JasonYao81000/MLDS2018SPRING

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

hamelsmu/Seq2Seq_Tutorial

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

arian-askari/ChatGPT-RetrievalQA

A dataset for training/evaluating Question Answering Retrieval models on ChatGPT responses with the possibility to training/evaluating on real human responses.

THUDM/KBRD

Towards Knowledge-Based Recommender Dialog System @ EMNLP 2019

pipidog/DeepTimeSeries

A Keras-based library for analysis of time series data using deep learning algorithms.

MarlonCajamarca/Keras-LSTM-Trajectory-Prediction

A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting

nouhadziri/THRED

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

jonathanking/protein-transformer

Predicting protein structure through sequence modeling