# hit-computer/char-rnn-tf

<https://repo.masters-masters.com/en/repos/hit-computer/char-rnn-tf>

[Home](https://repo.masters-masters.com/en) › [hit-computer](https://repo.masters-masters.com/en/owners/hit-computer) › [char-rnn-tf](https://repo.masters-masters.com/en/repos/hit-computer/char-rnn-tf)

hit-computer/char-rnn-tf has 147 stars on GitHub. Its RepoMasters card: Prototype tier. Implement character-level language models for text generation based-on…

| Field | Value |
| --- | --- |
| Owner | [hit-computer](https://repo.masters-masters.com/en/owners/hit-computer) |
| Stars | 147 |
| Forks | 44 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2016 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [hit-computer/char-rnn-tf](https://github.com/hit-computer/char-rnn-tf) |

## Repository

Implement character-level language models for text generation based-on LSTM, in Python/TensorFlow

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.