autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks
This toolkit addresses the need for efficient and modular training frameworks in computer audition, but it is incremental as it builds on existing PyTorch infrastructure without introducing new methods.
The authors introduced autrainer, a PyTorch-based deep learning toolkit designed for computer audition tasks, enabling rapid, reproducible, and extensible training with low-code support for various neural networks and preprocessing routines.
This work introduces the key operating principles for autrainer, our new deep learning training framework for computer audition tasks. autrainer is a PyTorch-based toolkit that allows for rapid, reproducible, and easily extensible training on a variety of different computer audition tasks. Concretely, autrainer offers low-code training and supports a wide range of neural networks as well as preprocessing routines. In this work, we present an overview of its inner workings and key capabilities.