📄️ Using XetHub as a MLflow artifact store
MLflow is an open source platform for managing end-to-end machine learning workflows. The MLflow-XetHub plugin allows you to turn your XetHub repository into a MLflow artifact store.
📄️ Using XetHub with VSCode
Most modern IDEs include simple user interfaces for running Git commands with buttons and simple dialogs. This makes it incredibly quick to commit, stage, and push changes to a centralized version control system like GitHub or GitLab.
📄️ Using XetHub with containers
Running ML training on containers is the modern standard for ensuring reproducible runtime environments and results. A challenge, however, is the ability to efficiently access large data from containers without having download it all. Our mount feature is perfect for addressing this issue, lazily fetching files as needed to avoid spending expensive compute time on downloads, but making a mount system call in containerized environments like Docker and Kubernetes usually requires CAPSYSADMIN capability — which provides far too much admin access to the container.