wb14123/seq2seq-couplet
Play couplet with seq2seq model. 用深度学习对对联。 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3112
- days_rel: n/a
- days_push: 770
- n_releases_24m: 0
Adoption not part of the score
5487 stars · 1054 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A deep learning project that generates Chinese couplets (对联) using a seq2seq model built with TensorFlow. It includes training scripts, a web server for serving the model, and Docker support, with a live demo available online.
Use cases
- generate the second line of a Chinese couplet from the first line
- train a seq2seq model on Chinese couplet data
- serve a trained couplet model as a web service
- experiment with sequence-to-sequence text generation in TensorFlow
- build a fun AI demo for Chinese poetry
When to choose
- you want a working seq2seq example for Chinese text generation
- you need a ready-made couplet generation model with training and serving code
- you want to learn how to train and deploy a TensorFlow seq2seq model end to end
When to avoid
- you need modern framework support (project uses older TensorFlow and Python 3.6)
- you need production-grade NLP generation beyond couplets
- you cannot provide a GPU or the couplet dataset
Facets
application · maturity maintenance
machine-learning deep-learning nlp llm-training deep-learning machine-learning python seq2seq couplet tensorflow chinese-poetry text-generation natural-language-processing linux docker web-server
2 sources
- readme: https://github.com/wb14123/seq2seq-couplet · fetched 2026-08-28 · cf514bdc5a8b
- homepage: https://ai.binwang.me/couplet · fetched 2026-08-29 · 3778f59da473
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| wb14123/seq2seq-couplet | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="wb14123/seq2seq-couplet")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem