How are ML projects deployed/distributed?

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

Scout Monitoring - Free Django app performance insights with Scout Monitoring
Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
www.scoutapm.com
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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.
www.influxdata.com
featured

  • mlops_example_lambda

    MLOps example with AWS Lambda, Docker, CDK, Github Actions, and DVC

    • Here's an example of training, testing, and hosting a scikit-learn pipeline on AWS Lambda: https://github.com/ktrnka/mlops_example_lambda

  • Scout Monitoring

    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

    Scout Monitoring 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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