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

Official Code Release for [SIGGRAPH 2025] RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination

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

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

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.

A list of Neural MT implementations

Library for sequence-to-sequence numeric prediction, applicable to any tokenizable input, and allows pretraining and fine-tuning over multiple tasks.