Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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Updated
Dec 27, 2022 - Jupyter Notebook
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
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)
Official Codebase for DiffuSeq
Towards Knowledge-Based Personalized Product Description Generation in E-commerce @ KDD 2019
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.
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