[P][R] Announcing `mllint` — a linter for ML project software quality.

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

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  • mllint

    `mllint` is a command-line utility to evaluate the technical quality of Python Machine Learning (ML) projects by means of static analysis of the project's repository.

  • Source: https://github.com/bvobart/mllint

  • mllint-example-projects

    Example projects for `mllint`: https://github.com/bvobart/mllint

  • There's the mllint-example-projects repository. It contains a simple example ML project, which I refactored in several steps according to the recommendations given by mllint. While not entirely complete, it should give you a good example of how mllint's recommendations are to be implemented.

  • 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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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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