# hit-computer/MTA-LSTM

<https://repo.masters-masters.com/en/repos/hit-computer/MTA-LSTM>

[Home](https://repo.masters-masters.com/en) › [hit-computer](https://repo.masters-masters.com/en/owners/hit-computer) › [MTA-LSTM](https://repo.masters-masters.com/en/repos/hit-computer/MTA-LSTM)

hit-computer/MTA-LSTM has 656 stars on GitHub. Its RepoMasters card: Alpha tier. The code and data of ijcai2018 paper \<Topic-to-Essay Generation with Neural…

| Field | Value |
| --- | --- |
| Owner | [hit-computer](https://repo.masters-masters.com/en/owners/hit-computer) |
| Stars | 656 |
| Forks | 38 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [hit-computer/MTA-LSTM](https://github.com/hit-computer/MTA-LSTM) |

## Repository

The code and data of ijcai2018 paper \<Topic-to-Essay Generation with Neural Networks\>

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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