# uzaymacar/attention-mechanisms

<https://repo.masters-masters.com/en/repos/uzaymacar/attention-mechanisms>

[Home](https://repo.masters-masters.com/en) › [uzaymacar](https://repo.masters-masters.com/en/owners/uzaymacar) › [attention-mechanisms](https://repo.masters-masters.com/en/repos/uzaymacar/attention-mechanisms)

uzaymacar/attention-mechanisms has 384 stars on GitHub. Its RepoMasters card: Alpha tier. Implementations for a family of attention mechanisms, suitable for…

| Field | Value |
| --- | --- |
| Owner | [uzaymacar](https://repo.masters-masters.com/en/owners/uzaymacar) |
| Stars | 384 |
| Forks | 87 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | attention-mechanism, natural-language-processing, natural-language-understanding, recurrent-neural-networks, sequence-to-sequence-models, many-to-many, many-to-one, sentiment-classification, text-generation, language-model |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [uzaymacar/attention-mechanisms](https://github.com/uzaymacar/attention-mechanisms) |

## Repository

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

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.