stas00/ml-engineering
ml-engineering
Machine Learning Engineering Open Book
Builder
stas00
stas00 • individual
Stars
17,601
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Forks
1,117
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Activity Score
0/100
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Created
Sep 2, 2020
Project creation date
README Summary
ML Engineering Open Book is a comprehensive resource covering machine learning engineering practices, from model development to production deployment. It provides practical guidance on MLOps, distributed training, model optimization, and engineering best practices for ML systems.
AI Dev Skills
Unmapped
Machine Learning Operations (MLOps)Model Training and OptimizationDistributed TrainingModel DeploymentPerformance MonitoringData Pipeline EngineeringModel Serving ArchitectureTraining InfrastructureModel VersioningExperiment TrackingResource ManagementProduction ML Systems
Tags
Machine Learning Operations (MLOps)Model Training and OptimizationDistributed TrainingModel DeploymentPerformance MonitoringData Pipeline EngineeringModel Serving ArchitectureTraining InfrastructureModel VersioningExperiment TrackingResource ManagementProduction ML SystemsCloudTextML Team Knowledge SharingML Engineering EducationTabularMLOpsML Model Training OptimizationModel Deployment StrategyProduction ML System DesignML Infrastructure PlanningScalable ML TrainingDistributed SystemsOn-premiseMultimodalAI InfrastructureProduction AI SystemsSelf-hostedPython
Taxonomy
Deployment Context
Modalities
Skill Areas
Recent Activity
Updated 28 days ago
7 Days
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Quality
production- Quality
- high
- Maturity
- production
Categories
AI AgentsPrimaryModel TrainingEdge & Mobile AIOther AI / MLMLOps & InfrastructureDev Tools & AutomationObservability & MonitoringInference & ServingML Platform & InfrastructureMultimodal AIFoundation Models
PM Skills
Scale & ReliabilityDeveloper Platform
Languages
Python100.0%
Timeline
- Project created
- Sep 2, 2020
- Forked
- Mar 23, 2026
- Your last push
- 28 days ago
- Upstream last push
- 28 days ago
- Tracked since
- Mar 16, 2026
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