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
Official Code Release for [SIGGRAPH 2025] RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination
an open-source implementation of sequence-to-sequence based speech processing engine
[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.