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  • MLops
  • MLops
    • Chap 0. Before everything
    • Chap 1. Tools for developerschevron-right
    • Chap 2. Hardwarechevron-right
    • Chap 3. Infrastructure/platform designchevron-right
      • 3.1 Prototypechevron-right
        • maintenance@docker
        • Docker with GPU
        • Set up DL environment and versions/dependencies
        • GPU scheduler
        • Data version control
        • Data Parallism
        • maintenance@GPU
        • Training pipeline
        • maintenance@data
        • maintenance@storage
        • Model registry
        • A few good-to-have for training data tracking
      • 3.2 Productchevron-right
      • 3.3 Internal toolschevron-right
      • 3.4 Benchmarks
      • 3.5 Takeawayschevron-right
    • Chap 4. Toolkit/codebasechevron-right
    • Chap 5. Paper reproductionchevron-right
    • Chap 6. Prototype developmentchevron-right
    • Chap 7. Deployment and model servingchevron-right
    • Chap 8. Productionization/Maintenance/Adoptionchevron-right
    • Chap 9. PR/keep stoachevron-right
    • Acknowledge
  • DataOps
    • Chap 0. Preface
    • Chap 1. Data engineeringchevron-right
    • Chap 2. Data integration
    • Chap 3. Data security/privacy
    • Chap 4. Data quality
  • MODELOPS
    • Chap 0. Intro
    • Chap 1. Model registery
  • Fun Facts about Image
    • Chap 0. Preface
    • Chap 1. Processchevron-right
    • Chap 2. Metricschevron-right
    • Chap 3. Case Studychevron-right
  • Softskills
    • Chap 1. Mindsetschevron-right
    • Chap 2. Soft skills in getting things donechevron-right
    • Chap 3. Portfolio and side projectschevron-right
    • Chap 4. Mentorshipchevron-right
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  1. MLopschevron-right
  2. Chap 3. Infrastructure/platform designchevron-right
  3. 3.1 Prototype

Model registry

ML in production:

https://mlinproduction.com/arrow-up-right

Model registry:

https://mlinproduction.com/model-registries-for-ml-deployment-deployment-series-06/arrow-up-right

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Last updated 5 years ago

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