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 73 (last one about a month ago)

Stargazers 245 (0 this week)

Watchers 5 (0 this week)

Forks 44

License mit

Ranking

RepositoryStats indexes 598,732 repositories, of these fschmid56/EfficientAT is ranked #156,969 (74th percentile) for total stargazers, and #336,587 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #27,630/120,199.

fschmid56/EfficientAT is also tagged with popular topics, for these it's ranked: pytorch (#2,205/6032), convolutional-neural-networks (#186/550), knowledge-distillation (#43/160)

Other Information

fschmid56/EfficientAT has Github issues enabled, there are 3 open issues and 28 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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73 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-12-21 @ 02:40pm, id: 550692666 / R_kgDOINLnOg