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About Deepchecks

Build Test Suites for ML Models & Data with Deepchecks https://github.com/deepchecks/deepchecks Deepchecks is an open-source package for Machine Learning validation. Our Open Source is a python library for data scientists and ML engineers. The package includes extensive test suites for machine learning models and data, built in a way that’s flexible, extendable and editable. How Does It Work? Suites are composed of checks. Each check contains outputs to display in a notebook and/or conditions with a pass/fail output. - Conditions can be added or removed from a check; - Checks can be edited or added/removed to a suite; - Suites can be created from scratch or forked from an existing suite.

Founded in 2019 by Philip Tannor and Shir Chorev.