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DagsHub is where people build data science projects. A centralized place to host, version, and manage code, data, models, experiments, and more. It allows you and your team to easily share, review, and reuse work, providing a GitHub experience for machine learning.
DagsHub is built on popular open-source tools and formats, making it easy to integrate with the tools you already use. For example, we use Git and DVC to version control all project components (code, data, models, artifacts, etc.), MLflow for experiment tracking, model registry and deployment and Label Studio to improve the annotation workflow.
Getting started with what you need is easy. No need to set up servers or add complicated cloud permissions, DagsHub does the DevOps heavy lifting for you. Learn more about how we're doing it in the video below.
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Are you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?