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YAMLE: Yet Another Machine Learning Environment

Machine Learning 2024-02-12 v1

Abstract

YAMLE: Yet Another Machine Learning Environment is an open-source framework that facilitates rapid prototyping and experimentation with machine learning (ML) models and methods. The key motivation is to reduce repetitive work when implementing new approaches and improve reproducibility in ML research. YAMLE includes a command-line interface and integrations with popular and well-maintained PyTorch-based libraries to streamline training, hyperparameter optimisation, and logging. The ambition for YAMLE is to grow into a shared ecosystem where researchers and practitioners can quickly build on and compare existing implementations. Find it at: https://github.com/martinferianc/yamle.

Keywords

Cite

@article{arxiv.2402.06268,
  title  = {YAMLE: Yet Another Machine Learning Environment},
  author = {Martin Ferianc and Miguel Rodrigues},
  journal= {arXiv preprint arXiv:2402.06268},
  year   = {2024}
}

Comments

Find it at: https://github.com/martinferianc/yamle

R2 v1 2026-06-28T14:43:50.780Z