https://github.com/racinmat/pycon_cz_2023_serving_models

Codes snippets and presentation for the talk How to actually serve your ML models
https://github.com/racinmat/pycon_cz_2023_serving_models

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Codes snippets and presentation for the talk How to actually serve your ML models

• Host: GitHub
• URL: https://github.com/racinmat/pycon_cz_2023_serving_models
• Owner: racinmat
• Created: 2023-09-16T10:09:24.000Z (about 1 year ago)
• Default Branch: master
• Last Pushed: 2023-09-16T10:16:10.000Z (about 1 year ago)
• Last Synced: 2023-09-16T20:26:48.085Z (about 1 year ago)
• Language: Python
• Size: 6.13 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

        
# Examples of serving with some non-trivial requirements

This is a repo for talk https://cz.pycon.org/2023/program/talks/80/

The powerpoint presentation is [here](How%20to%20actually%20serve%20your%20ML%20models.pptx).

The code snippets are for illustration and showing the proof of concept, they are not meant to be runnable out of the box,

but feel free to use them as inspiration for your needs.