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#

machine-learning-engineering

Here are 63 public repositories matching this topic...

kedro

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

  • UpdatedFeb 20, 2026
  • Python

😎 A curated list of awesome MLOps tools

  • UpdatedDec 10, 2025
  • Python

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

  • UpdatedApr 26, 2025
  • Python

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

  • UpdatedMay 17, 2023
frouros

💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML

  • UpdatedMar 6, 2025
  • Jupyter Notebook

A robust (🐢) and fast (🐇) MLOps tool for managing data and pipelines in Rust (🦀)

  • UpdatedFeb 20, 2026
  • Rust

Tutorials on how to engineer Machine Learning projects using Deep Neural Networks with PyTorch and Python

  • UpdatedDec 2, 2020
  • Jupyter Notebook
MLZoomcamp2022

My repo for the Machine Learning Engineering bootcamp 2022 by DataTalks.Club

  • UpdatedAug 8, 2023
  • Jupyter Notebook

A Helm chart containing Kubeflow Pipelines as a standalone service.

  • UpdatedMay 1, 2023

End-to-end Email Spam Detection system using Machine Learning and NLP, featuring TF-IDF, Logistic Regression, threshold optimization, and a FastAPI-based real-time inference API.

  • UpdatedJan 28, 2026
  • Jupyter Notebook

This repository contains examples of using various libraries/tools for MLOps.

  • UpdatedApr 22, 2022
  • Python

ML System - Model Deployment & Lifecycle Management

  • UpdatedFeb 25, 2025
  • Python

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