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autrainer — A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks

autrainer

autrainer PyPI Version autrainer Python Versions autrainer Hugging Face autrainer GitHub License autrainer arXiv preprint

A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks.

autrainer is built on top of PyTorch and Hydra, offering a modular and extensible way to perform reproducible deep learning experiments for computer audition tasks using YAML configuration files and the command line.

Installation

It is recommended to install autrainer within a virtual environment. To create a new virtual environment, refer to the Python venv documentation.

Next, install autrainer using pip.

pip install autrainer

The following optional dependencies can be installed to enable additional features:

pip install autrainer[latex]
pip install autrainer[mlflow]
pip install autrainer[tensorboard]
pip install autrainer[opensmile]
pip install autrainer[albumentations]
pip install autrainer[audiomentations]
pip install autrainer[torch-audiomentations]

To install autrainer with all optional dependencies, use the following command:

pip install autrainer[all]

To install autrainer from source, refer to the contribution guide.

Next Steps

To get started using autrainer, the quickstart guide outlines the creation of a simple training configuration and tutorials provide examples for implementing custom modules including their configurations.

For a complete list of available CLI commands, refer to the CLI reference or the CLI wrapper.

Metadata

Release files for autrainer 0.10.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for autrainer 0.10.0
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Table of built distributions (wheels) for autrainer 0.10.0
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autrainer-0.10.0-py3-none-any.whl Python 3 none any Details

Total release size: 419.9 kB

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