klotz: python* + machine learning* + docker*

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  1. This article explains how to run inference on a YOLOv8 object detection model using Docker and create a REST API to orchestrate the process. It includes code implementation and a detailed README in the author's GitHub repository for running the API via REST with Docker.

  2. This is a hands-on guide with Python example code that walks through the deployment of an ML-based search API using a simple 3-step approach. The article provides a deployment strategy applicable to most machine learning solutions, and the example code is available on GitHub.

  3. tensorflow jupyter): Download the training zip file from drive, extract it docker run --rm -it -e JUPYTER_ENABLE_LAB=yes -p 8888:8888 -v /Users/foo/Learn/python/training:/home/jovyan/ jupyter/tensorflow-notebook:latest

    2021-04-29 Tags: , , , by klotz
  4. Download the Docker image and show the help text to make sure it works. docker run --rm -v pwd:/ne/input -it alexjc/neural-enhance --help

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