Search Results for "training"

Uncertainty Baselines is a collection of strong, well-documented training pipelines that make it straightforward to evaluate predictive uncertainty in modern machine learning models. Rather than offering toy scripts, it provides end-to-end recipes—data input, model architectures, training loops, evaluation metrics, and logging—so results are comparable across runs and research groups. The library spans canonical modalities and tasks, from image classification and NLP to tabular problems, with baselines that cover both deterministic and probabilistic approaches. ...

...You will also find it named hexagonal, ports-and-adapters, or onion architecture. This architecture is used in the DDD Fundamentals course by Steve Smith and Julie Lerman. Contact Steve's company, NimblePros, for Clean Architecture or DDD training and/or implementation assistance for your team. After installing the template, you should be able to create a new project in Visual Studio and search for Clean Architecture. You should see the template appear in your list of project templates. Note that the template is generally only updated with major updates to the project. The GitHub repository will always have the latest bug fixes and enhancements.

...So if you want to receive alerts if your bastion hosts is in trouble, supply an alert stack. Do you want to accelerate your start with AWS CloudFormation and our templates? We do offer remote and on-site training for you and your team. All templates are published under Apache License Version 2.0. Besides our open-source projects, we also offer commercial products on the AWS Marketplace.