fschmid56 / EfficientAT

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.

Date Created 2022-10-13 (2 years ago)

Commits 71 (last one 6 months ago)

Stargazers 237 (5 this week)

Watchers 5 (0 this week)

Forks 44

License mit

Ranking

RepositoryStats indexes 584,353 repositories, of these fschmid56/EfficientAT is ranked #158,273 (73rd percentile) for total stargazers, and #332,313 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #27,724/116,326.

fschmid56/EfficientAT is also tagged with popular topics, for these it's ranked: pytorch (#2,216/5948), convolutional-neural-networks (#190/540), knowledge-distillation (#42/157)

Other Information

fschmid56/EfficientAT has 1 open pull request on Github, 4 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 5 open issues and 26 closed issues.

There have been 1 release, the latest one was published on 2022-11-17 (2 years ago) with the name Pre-Trained Models and PaSST ensemble predictions.

All Topics

pytorch mobilenetv3 audio-tagging knowledge-distillation convolutional-neural-networks

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Recent Commit History

71 commits on the default branch (main) since jan '22

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Languages

The only known language in this repository is Python

updated: 2024-11-20 @ 02:16pm, id: 550692666 / R_kgDOINLnOg