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wb14123/seq2seq-couplet

Play couplet with seq2seq model. 用深度学习对对联。 observed · 2026-08-28

github.com/wb14123/seq2seq-couplet · homepage · Python · AGPL-3.0 (copyleft) 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
wb14123/seq2seq-coupletmain32

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