# ExplorerFreda/Structured-Self-Attentive-Sentence-Embedding

<https://repo.masters-masters.com/en/repos/ExplorerFreda/Structured-Self-Attentive-Sentence-Embedding>

[Home](https://repo.masters-masters.com/en) › [ExplorerFreda](https://repo.masters-masters.com/en/owners/ExplorerFreda) › [Structured-Self-Attentive-Sentence-Embedding](https://repo.masters-masters.com/en/repos/ExplorerFreda/Structured-Self-Attentive-Sentence-Embedding)

ExplorerFreda/Structured-Self-Attentive-Sentence-Embedding has 432 stars on GitHub. Its RepoMasters card: Alpha tier. An open-source implementation of the…

| Field | Value |
| --- | --- |
| Owner | [ExplorerFreda](https://repo.masters-masters.com/en/owners/ExplorerFreda) |
| Stars | 432 |
| Forks | 95 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2017 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [ExplorerFreda/Structured-Self-Attentive-Sentence-Embedding](https://github.com/ExplorerFreda/Structured-Self-Attentive-Sentence-Embedding) |

## Repository

An open-source implementation of the paper \`\`A Structured Self-Attentive Sentence Embedding'' (Lin et al., ICLR 2017).

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.