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| Description | MLflow is a futuristic machine learning platform that helps developers manage the entire machine learning lifecycle in an efficient manner. In addition, it also helps users to proceed with experimentation, deployment, and reproducibility of codes. Currently, MLflow offers four components to individual users. The first component is Tracking, which helps developers with logging parameters, metrics, code versions, and output files while running the machine learning code and result analytics part. The second component is Projects that include a command-line and other API tools facilitating seamless management of projects in progress. This also makes it possible for developers to bring all projects with a single workflow. The third component being Models, which can be used for packaging machine learning models, besides proceeding with deployment in diverse serving environments. Finally, Registry- a centralized model serves as a store for APIs and UI, besides helping out users to proceed with the full life cycle of an MLflow Model. Real-time integration facilities with Kubernetes, Google Cloud, and TensorFlow, enables seamless business management. Read more | DVC Studio software is a platform used to manage models and visualization for workflows. The software offers tools to access important metrics across multiple projects. Visualize and compare ML models to keep your code, data and model connected at all times. Collaborate with teams to iterate a no-code environment and deploy changes of code each time. Developers, Small and Medium companies make use of the software. Read more |
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MLflow Custom |
Free Free Teams Custom Enterprise Custom |
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| Company Details | Located in: San Francisco, California | Located in: San Francisco, CA |
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