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Deployment template for a simple ML training and inference pipeline

Built using:

  • Docker for dependency management
  • FastAPI/uvicorn stack for API server
  • Pydantic for API input and output validation
  • Github Actions for CI/CD

The pipeline also includes logging and Docker volumes to store model weights.

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ML pipeline template API built using FastAPI/uvicorn on Docker

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