wb14123/seq2seq-couplet
Play couplet with seq2seq model. 用深度学习对对联。
This project helps you create a program that can generate classical Chinese couplets. You provide a dataset of existing couplets, and it produces a trained artificial intelligence model. This model can then take an 'upper couplet' (上联) as input and generate a fitting 'lower couplet' (下联). It's designed for enthusiasts of Chinese literature, computational linguists, or educators interested in automated couplet generation.
5,506 stars. No commits in the last 6 months.
Use this if you want to build and train your own couplet generation system using deep learning, leveraging your own datasets.
Not ideal if you are looking for a ready-to-use application or API for couplet generation without needing to set up a development environment and train a model.
Stars
5,506
Forks
1,066
Language
Python
License
AGPL-3.0
Category
Last pushed
Jul 25, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/wb14123/seq2seq-couplet"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
facebookresearch/fairseq2
FAIR Sequence Modeling Toolkit 2
lhotse-speech/lhotse
Tools for handling multimodal data in machine learning projects.
google/sequence-layers
A neural network layer API and library for sequence modeling, designed for easy creation of...
awslabs/sockeye
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
OpenNMT/OpenNMT-tf
Neural machine translation and sequence learning using TensorFlow