Abstract: Good unit testing plays the most important role when it comes to driving and evaluating software quality. However, writing effective tests is a very expensive and time-consuming practice. To ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

To train the models, we use the run_train.py CLI script. The script supports various arguments. See the training/README.md file for more information, along with the hyperparameters used in the paper.