Skopeo works with API V2 container image registries such as docker.io and quay.io registries, private registries, local directories and local OCI-layout directories.
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Kubernetes became a de-facto standard in recent years and many of us - both DevOps engineers and developers alike - use it on daily basis. Many of the task that we perform are however, same, boring and easy to automate. Oftentimes it’s simple enough to whip up a quick shell script with a bunch of kubectl commands, but for more complicated automation tasks bash just isn’t good enough, and you need the power of proper language, such as Python.
How do you get live notifications from a service that doesn’t support live notifications? Can you watch an online store for price drops? Or track comments on someone else’s YouTube video? Or at work, can you react to changes in another
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Recently, graph neural network (GNN) has become the new state-of-the-art approach in many recommendation problems, with its strong ability to handle structured data and to explore high-order information. However, as the recommendation tasks are diverse and various in the real world, it is quite challenging to design proper GNN methods for specific problems. In this tutorial, we focus on the critical challenges of GNN-based recommendation and the potential solutions.
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The desire to make applications and machines more intelligent and the aspiration to enable their operation without human interaction have been driving innovations in neural networks, deep learning, and other machine learning techniques.
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The meteoric rise of Diffusion Models is one of the biggest developments in Machine Learning in the past several years. Learn everything you need to know about Diffusion Models in this easy-to-follow guide.
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Notebook
PyTorch is designed to be the framework that’s both easy to use and delivers performance at scale. Indeed it has become the most popular deep learning framework, by a mile among the research community. However, despite some lengthy official tutorials and a few helpful community blogs, it is not always clear what exactly has to be done to make your PyTorch training to work across multiple nodes.
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