# cwx-worst-one/EAT

<https://repo.masters-masters.com/en/repos/cwx-worst-one/EAT>

[Home](https://repo.masters-masters.com/en) › [cwx-worst-one](https://repo.masters-masters.com/en/owners/cwx-worst-one) › [EAT](https://repo.masters-masters.com/en/repos/cwx-worst-one/EAT)

cwx-worst-one/EAT has 248 stars on GitHub. Its RepoMasters card: Prototype tier. \[IJCAI 2024\] EAT: Self-Supervised Pre-Training with Efficient Audio Transformer

| Field | Value |
| --- | --- |
| Owner | [cwx-worst-one](https://repo.masters-masters.com/en/owners/cwx-worst-one) |
| Stars | 248 |
| Forks | 16 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | audio, audio-classification, deep-learning, eat, fairseq, pytorch, representation-learning, self-supervised-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [cwx-worst-one/EAT](https://github.com/cwx-worst-one/EAT) |

## Repository

\[IJCAI 2024\] EAT: Self-Supervised Pre-Training with Efficient Audio Transformer

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.