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
    • Chap 6. Prototype development
    • Chap 7. Deployment and model serving
      • Documentation
      • Cloud - instance selection
      • Environments (Staging, production) set up
      • Authentication and security
      • New integration
      • use uWSGI and NGinx to serve a DL model
      • Monitoring
      • Scaling
      • Dashboard
      • Model serving
      • Case study
        • Multiple deployment phases
        • An example of SAAS deployment TODO list
        • Convert matlab script to python's
        • PyTorch JIT
    • 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 7. Deployment and model serving
  3. Case study

PyTorch JIT

Lernapparat - Machine Learninglernapparat.de

PreviousConvert matlab script to python'sNextChap 8. Productionization/Maintenance/Adoption

Last updated 4 years ago

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