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Build, train and track all of your machine learning project metadata including ML models and datasets with semantic versioning, extensive artifact logging and dynamic reporting with local↔cloud training.
Layer AI
Metadata store for production ML
Derrick Mwiti
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To get started, you can simply run our Quickstart Example!
https://lnkd.in/eUJGPhXx
How is Layer different from other tools?
Although there are plenty of ML and DS tooling products, we believe that there is still a large gap around collaboration. Many data science projects are hosted on GitHub, which, in our experience, does not provide sufficient depth and abstractions for ML/DS projects.
We...
Layer AI
Metadata store for production ML