GitHub - Auro-rium/audioforge: Python toolkit for audio ML experiments, including FSD50K/DCASE data prep, log-mel features, CNN training, evaluation, and anomaly/event inference scaffolding.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
audioforge		audioforge
configs		configs
data/manifests/fsd50k		data/manifests/fsd50k
reports		reports
scripts		scripts
.env		.env
.env.example		.env.example
.gitignore		.gitignore
README.md		README.md
pyproject.toml		pyproject.toml
uv.lock		uv.lock

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Python toolkit for audio ML experiments, including FSD50K/DCASE data prep, log-mel features, CNN training, evaluation, and anomaly/event inference scaffolding.

python deep-learning pytorch audio-classification anomaly-detection dcase audio-machine-learning fsd50k