In machine learning applications reproducibility is a key criterion, but random initialization and sampling can make it difficult. I show you a docker setup with jupyterlab and fastai/pytorch that automatically initializes the random seed on every startup, helping you to reproduce your results. Why is reproducibility so important? Reproducibility, the property that an experiment can…