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#

machine-learning-workflow

Here are 14 public repositories matching this topic...

blazingsql

AI Flow is an open source framework that bridges big data and artificial intelligence.

  • UpdatedOct 9, 2022
  • Python

A curated list of awesome open source tools and commercial products that will help you train, deploy, monitor, version, scale, and secure your production machine learning on kubernetes 🚀

  • UpdatedApr 20, 2022

This repository demonstrated how you can use Github Actions to perform inference with your ML model

  • UpdatedJul 6, 2023
  • Jupyter Notebook

Machine Learning with Python can be used to predict the likelihood of events based on data. Includes the steps to be followed which applying machine learning to the problem statement.

  • UpdatedMay 28, 2017
  • Jupyter Notebook

Framework for managing machine learning models using MLFlow, focusing on advanced model tracking, versioning, and experiment management.

  • UpdatedSep 13, 2024
  • Jupyter Notebook

The automlpipeline by Agile Creative Labs is a comprehensive automated machine learning pipeline designed to streamline the entire ML workflow from data loading to model deployment.

  • UpdatedJun 24, 2025
  • Python

🤖 Automate workflows effortlessly with AI-Flow, a low-code platform that streamlines business processes and enhances team productivity.

  • UpdatedFeb 19, 2026
  • TypeScript

Tutorial followed from the Understanding Machine Learning with Python pluralsight course by Jerry Kurata. Used the Machine Learning workflow to process and transform Pima Indian Diabetes data to create a prediction model that would predict which people are likely to develop diabetes with 70% or greater accuracy.

  • UpdatedSep 21, 2017
  • Jupyter Notebook

Homework solutions for CPE-4903: Neural Networks & Machine Learning at Kennesaw State University.

  • UpdatedMay 24, 2024
  • Jupyter Notebook

Developed an image classification model for Scones Unlimited to identify delivery vehicles (bicycles vs. motorcycles) to enhance routing and loading bay assignments, thereby optimizing operational efficiency.

  • UpdatedJul 24, 2024
  • Jupyter Notebook

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