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#

machine-learning-operations

Here are 29 public repositories matching this topic...

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

  • UpdatedDec 17, 2025
  • Go
frouros

Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.

  • UpdatedDec 17, 2023
  • Jupyter Notebook
chassis

Chassis turns machine learning models into portable container images that can run just about anywhere.

  • UpdatedApr 24, 2024
  • Python

Machine Learning Engineering for Production (MLOps) Coursera Specialization

  • UpdatedMay 22, 2021
  • Jupyter Notebook

A curated list of resources to deep dive into the intersection of applied machine learning and threat detection.

  • UpdatedSep 23, 2020

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

Learn the ins and outs of efficiently serving Large Language Models (LLMs). Dive into optimization techniques, including KV caching and Low Rank Adapters (LoRA), and gain hands-on experience with Predibase’s LoRAX framework inference server.

  • UpdatedApr 12, 2024
  • Jupyter Notebook

The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈

  • UpdatedDec 17, 2025
  • Python

The official Java library for the Modzy Machine Learning Operations (MLOps) Platform

  • UpdatedDec 14, 2021
  • Java

This project contains the production-ready Machine Learning solution for detecting and classifying Covid-19, Viral disease, and No disease in posteroanterior and anteroposterior views of chest x-ray

  • UpdatedMar 31, 2023
  • Python

Curated set of MLOps tools to work with the Neu.ro MLOps platform

  • UpdatedDec 17, 2025
  • Python

A framework for conducting MLOps.

  • UpdatedApr 16, 2022
  • Python

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