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deeppype's Introduction

MLPipe

This repository contains all the code and material used for the special project done in Spring 2022 at DTU in collaboration with Novo Nordisk, Data Management & Analytics

To install and make use of deeppype, run pip install deeppype.

Set the environment variables for AWS and W&B.

Either run Pipe().launch(config_file) or Pipe().predict().

Documentation in development.

deeppype's People

Contributors

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Watchers

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deeppype's Issues

TODO Functionalities to implement

  • Pytorch Lightning
  • HP Tuning
  • Better Logging
  • YAML validation
  • Architecture dynamic definition + inclusion in HP
  • HP on architecture
  • Read from S3 + models to S3 megastore
  • S3 project + experiment structure
  • S3 Artifacts Storage
  • Reading pre-split dataset
  • Dataset Versioning
  • Model Versioning
  • Model Deployment & Serving
  • Model Monitoring
  • Continuous Training
  • Add testing
  • Better CI/CD
  • Data cleaning/processing & training on AWS?

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