A toolkit to make your unstructured datasets better
Show HN: A toolkit to make your unstructured datasets better
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Hey HN, Creator of DAGsHub here!I wanted to share something cool that we've been working on. You might've heard about DVC (dvc.org) and MLflow (mlflow.org). They are open-source projects for ML that are widely adopted, each for its own specialty.DVC is great for versioning your data. MLflow is used for a bunch of stuff (it's actually multiple tools combined into one) – but mostly for experiment tracking. Since they are open source, setting up storage for DVC and a central tracking server for MLflow can be a pain – requiring you to create cloud accounts, add permissions, and more.DAGsHub is already integrated with DVC, in the sense that whenever you create a project, it comes with a free, bui
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| Sector | Show HN launch |
|---|---|
| Stage | Show HN launch |
Website: dagshub.com/blog/launching-data-engine-toolset-for-unstructured-datasets
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