MLOps in practice: building and deploying a machine learning app

This page summarizes the projects mentioned and recommended in the original post on dev.to

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
  • snapmath

    Simple calculator using ML and image processing.

  • All this process was applied on an open project called snapmath, and the very source code is available on my Github and you can also use it as it is deployed here. And in case you would like to know the whole design and planning process check the project design document.

  • examples

    TensorFlow examples (by tensorflow)

  • The tool used to build the model per se was TensorFlow, a very powerful and end-to-end open source platform for machine learning with a rich ecosystem of tools. And in order to to create the needed script using TensorFlow Jupyter Notebook was used, which is a web-based interactive computing platform.

  • 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.

Suggest a related project

Related posts