  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.
