[P] Deepchecks: an open-source tool for high standards validations for ML models and data.

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  • deepchecks

    Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

  • great_expectations

    Always know what to expect from your data.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • model-validation-toolkit

    Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.

  • Looks very cool, thanks for sharing! I see someone else already mentioned great_expectations -- in addition, here's another library it might be interesting to integrate with: https://github.com/FINRAOS/model-validation-toolkit

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