awesome-mlops

A curated list of references for MLOps

View on GitHub↗Upstream visenger/awesome-mlops↗

Builder

visenger

visenger • individual

Stars

13,836

Using upstream star count

Forks

2,039

Using upstream fork count

Open Issues

Activity Score

0/100

0 commits in 30d

Created

Mar 3, 2020

Project creation date

README Summary

This repository is a curated collection of resources, tools, and references for MLOps (Machine Learning Operations). It serves as a comprehensive guide covering various aspects of MLOps including deployment, monitoring, versioning, and best practices. The repository aggregates valuable links, papers, and tools to help practitioners implement effective ML workflows in production.

AI Dev Skills

Unmapped

Tags

MLOps EngineeringMachine Learning Pipeline DesignModel Deployment and ServingML Model MonitoringData Pipeline ManagementML Infrastructure ManagementContinuous Integration/Continuous Deployment for MLModel Versioning and Lifecycle ManagementFeature Store ManagementML Experiment TrackingModel Performance MonitoringData Quality ManagementML Security and GovernanceML Platform EngineeringModel GovernanceAutoMLML ObservabilityMLOpsML Model GovernanceOn-premiseCloud APIServerlessData Quality AssuranceAudioML Infrastructure PlanningML Experiment ManagementMultimodalML Pipeline AutomationModel Deployment OrchestrationVideoTextML InfrastructureImageTabularFeature Engineering Pipeline ManagementSelf-hostedEdge/Mobile

Recent Activity

Updated 1 years ago

7 Days

30 Days

90 Days

Quality

production

Quality: medium
Maturity: production

PM Skills

Product DiscoveryUser Experience

Languages

No language breakdown recorded.

Timeline

Project created: Mar 3, 2020
Forked: Mar 23, 2026
Your last push: 1 years ago
Upstream last push: 1 years ago
Tracked since: Nov 21, 2024

Similar Repos

pgvector cosine similarity · $0

Loading…