umbertocappellazzo / PETL_AST

This is the official repository of the papers "Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers" and "Efficient Fine-tuning of Audio Spectrogram Transformers via Soft Mixture of Adapters".

Date Created 2023-12-02 (about a year ago)
Commits 53 (last one 6 months ago)
Stargazers 36 (0 this week)
Watchers 5 (0 this week)
Forks 4
License unknown
Ranking

RepositoryStats indexes 617,630 repositories, of these umbertocappellazzo/PETL_AST is ranked #556,790 (10th percentile) for total stargazers, and #339,508 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #110,434/124,984.

umbertocappellazzo/PETL_AST is also tagged with popular topics, for these it's ranked: transfer-learning (#302/320),  audio-processing (#273/300),  lora (#254/289)

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Recent Commit History

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

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Issue History

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Languages

The only known language in this repository is Python

PythonPython

updated: 2025-02-15 @ 10:15am, id: 726425219 / R_kgDOK0xegw