mlops
Ctrlk
  • MLops
  • MLops
    • Chap 0. Before everything
    • Chap 1. Tools for developers
    • Chap 2. Hardware
    • Chap 3. Infrastructure/platform design
    • Chap 4. Toolkit/codebase
    • Chap 5. Paper reproduction
      • 5.0 Takeaway
        • common issues in code reproduction
        • A checklist for open-sourcing your code for reproducibility
        • practice on the version control and reproducing the experiments
        • Toy pipeline on all paper reproduction with code available
      • 5.1 Case study
      • 5.2 What's next: simple is better
    • Chap 6. Prototype development
    • Chap 7. Deployment and model serving
    • Chap 8. Productionization/Maintenance/Adoption
    • Chap 9. PR/keep stoa
    • Acknowledge
  • DataOps
    • Chap 0. Preface
    • Chap 1. Data engineering
    • 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. Process
    • Chap 2. Metrics
    • Chap 3. Case Study
  • Softskills
    • Chap 1. Mindsets
    • Chap 2. Soft skills in getting things done
    • Chap 3. Portfolio and side projects
    • Chap 4. Mentorship
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  1. MLops
  2. Chap 5. Paper reproduction

5.0 Takeaway

common issues in code reproductionA checklist for open-sourcing your code for reproducibilitypractice on the version control and reproducing the experimentsToy pipeline on all paper reproduction with code available
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Last updated 4 years ago

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