This is the Windows app named ZenML whose latest release can be downloaded as 0.22.0.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS:
ZenML
DESCRIPTION:
A simple yet powerful open-source framework that scales your MLOps stack with your needs. Set up ZenML in a matter of minutes, and start with all the tools you already use. Gradually scale up your MLOps stack by switching out components whenever your training or deployment requirements change. Keep up with the latest changes in the MLOps world and easily integrate any new developments. Define simple and clear ML workflows without wasting time on boilerplate tooling or infrastructure code. Write portable ML code and switch from experimentation to production in seconds. Manage all your favorite MLOps tools in one place with ZenML's plug-and-play integrations. Prevent vendor lock-in by writing extensible, tooling-agnostic, and infrastructure-agnostic code. Run your ML workflows anywhere: local, on-premises, or in the cloud environment of your choice. Keep yourself open to new tools - ZenML is easily extensible and forever open-source!
Features
- Prevent Vendor Lock-In
- Standardize Your ML Workflows
- Explore The MLOps Landscape
- Create Reproducible ML Pipelines
- Save time and resources by automatically caching intermediate outputs from earlier runs
- Establish a consistent lineage between your ML pipelines and your experiment tracking tools
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/zenml.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.