The objective of this GitHub project is to demo a simple CRUD web api application with additional tutorials (including YouTube videos) and references including ...

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

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.

We test dozens of laptops every year here at ZDNET: from the latest MacBooks to the best Windows PCs, aiming for a dual approach. On one hand, we run a series of benchmarking programs to gather ...