How do you document a ML research?

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

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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  • knowledge-repo

    A next-generation curated knowledge sharing platform for data scientists and other technical professions.

  • While a start, a few that just being a markdown is editor is not enough, GitHub and GitLab already have this sort of wiki. I feel something like https://github.com/airbnb/knowledge-repo provides a better experience, since it gives an incentive for Data Scientists to make their source notebook well documented, and be a SSoT. With a Wiki like, if you change something on the original project, you need to remind yourself to update your reports. If your notebook is in itself your report, that's not necessary. Plus, it would benefit from the Semantic Diffs that DagsHub already have 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.

    InfluxDB logo
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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