# fschmid56/EfficientAT

<https://repo.masters-masters.com/en/repos/fschmid56/EfficientAT>

[Home](https://repo.masters-masters.com/en) › [fschmid56](https://repo.masters-masters.com/en/owners/fschmid56) › [EfficientAT](https://repo.masters-masters.com/en/repos/fschmid56/EfficientAT)

fschmid56/EfficientAT has 373 stars on GitHub. Its RepoMasters card: Alpha tier. This repository aims at providing efficient CNNs for Audio Tagging. We…

| Field | Value |
| --- | --- |
| Owner | [fschmid56](https://repo.masters-masters.com/en/owners/fschmid56) |
| Stars | 373 |
| Forks | 62 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | audio-tagging, convolutional-neural-networks, knowledge-distillation, mobilenetv3, pytorch |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [fschmid56/EfficientAT](https://github.com/fschmid56/EfficientAT) |

## Repository

This repository aims at providing efficient CNNs for Audio Tagging. We provide AudioSet pre-trained models ready for downstream training and extraction of audio embeddings.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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