Recommendation for MLOps resources

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

SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
  1. Made-With-ML

    Learn how to develop, deploy and iterate on production-grade ML applications.

    Hey, I’m also working in ML. Here’s a great resource: https://madewithml.com. Also, check out Noah Gift’s book Practical MLOPs.

  2. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
  3. MLSys-NYU-2022

    Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022

    - Machine Learning Systems

  4. hands-on-train-and-deploy-ml

    Train and Deploy an ML REST API to predict crypto prices, in 10 steps

    - Hands-on Train and Deploy ML

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.

Suggest a related project

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Did you know that Jupyter Notebook is
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based on number of references?