awesome-seml

A curated list of articles that cover the software engineering best practices for building machine learning applications. (by SE-ML)

Awesome-seml Alternatives

Similar projects and alternatives to awesome-seml based on common topics and language

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better awesome-seml alternative or higher similarity.

awesome-seml reviews and mentions

Posts with mentions or reviews of awesome-seml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-16.
  • [D] How to maintain ML models?
    5 projects | /r/MachineLearning | 16 Sep 2021
    They also have an awesome-seml repo on GitHub outlining many (scientific) articles as well as tools and frameworks that may help you out in implementing these best practices.

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23 days ago
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