wb14123/seq2seq-couplet
A seq2seq neural network trained with TensorFlow to generate Chinese couplets in response to user-provided input.
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This project implements a sequence-to-sequence model for generating Chinese couplets, a traditional poetic form. The model is trained on couplet datasets and uses encoder-decoder architecture with attention mechanisms. It provides both training scripts with TensorBoard logging and a web server for serving predictions. The project includes Docker support for deployment.
Frequently asked
- What is wb14123/seq2seq-couplet?
- A seq2seq neural network trained with TensorFlow to generate Chinese couplets in response to user-provided input.
- Is seq2seq-couplet open source?
- Yes — wb14123/seq2seq-couplet is open source, released under the AGPL-3.0 license.
- What language is seq2seq-couplet written in?
- wb14123/seq2seq-couplet is primarily written in Python.
- How popular is seq2seq-couplet?
- wb14123/seq2seq-couplet has 5.5k stars on GitHub.
- Where can I find seq2seq-couplet?
- wb14123/seq2seq-couplet is on GitHub at https://github.com/wb14123/seq2seq-couplet.