# Disiok/poetry-seq2seq

<https://repo.masters-masters.com/en/repos/Disiok/poetry-seq2seq>

[Home](https://repo.masters-masters.com/en) › [Disiok](https://repo.masters-masters.com/en/owners/Disiok) › [poetry-seq2seq](https://repo.masters-masters.com/en/repos/Disiok/poetry-seq2seq)

Disiok/poetry-seq2seq has 181 stars on GitHub. Its RepoMasters card: Prototype tier. Chinese Poetry Generation Language: Jupyter Notebook.

| Field | Value |
| --- | --- |
| Owner | [Disiok](https://repo.masters-masters.com/en/owners/Disiok) |
| Stars | 181 |
| Forks | 63 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2017 |
| Topics | rnn, rnn-tensorflow, rnn-encoder-decoder, seq2seq-model, seq2seq, poetry-generator, poetry, chinese-poetry, attention-mechanism, beam-search |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Disiok/poetry-seq2seq](https://github.com/Disiok/poetry-seq2seq) |

## Repository

Chinese Poetry Generation

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.