# IntuitionEngineeringTeam/chars2vec

<https://repo.masters-masters.com/en/repos/IntuitionEngineeringTeam/chars2vec>

[Home](https://repo.masters-masters.com/en) › [IntuitionEngineeringTeam](https://repo.masters-masters.com/en/owners/IntuitionEngineeringTeam) › [chars2vec](https://repo.masters-masters.com/en/repos/IntuitionEngineeringTeam/chars2vec)

IntuitionEngineeringTeam/chars2vec has 174 stars on GitHub. Its RepoMasters card: Prototype tier. Character-based word embeddings model based on RNN for…

| Field | Value |
| --- | --- |
| Owner | [IntuitionEngineeringTeam](https://repo.masters-masters.com/en/owners/IntuitionEngineeringTeam) |
| Stars | 174 |
| Forks | 38 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2019 |
| Topics | natural-language-processing, natural-language-understanding, language-model, embeddings |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [IntuitionEngineeringTeam/chars2vec](https://github.com/IntuitionEngineeringTeam/chars2vec) |

## Repository

Character-based word embeddings model based on RNN for handling real world texts

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.