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

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

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)

Interpretability for sequence generation models 🐛 🔍

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

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