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template's Introduction

Template repository for ML Projects

Setup

  • Install poetry

  • Install the virtual environment

    poetry install
  • Activate the virtual environment

    source $(poetry env info --path)/bin/activate
  • Activate pre-commit hooks

    pre-commit install
  • Download the raw datasets (optional)

    dvc pull

Current Tasks

  • Add functions to create custom pytorch datasets and dataloaders from raw data
  • Add tests for these custom datasets and dataloaders
  • Add CI pipelines for checking code linting and tests
  • Create supervised model for fashion MNIST dataset using pytorch
  • Create supervised model for fashion MNIST dataset using pytorch-lightning
  • Use dvc to save the models and version them

Tools

  • git for code version control
  • dvc for data version control
  • poetry for python dependency management
  • pylint, black for code quality
  • pytest for all types of tests
  • clearml for experiment tracking and model monitoring

Contributing Instructions

  • Fork this repository and make sure that the fork is in-sync before sending a pull request.
  • Note all the steps that you think are worth noting along with any good tutorials for the particular task that you are doing.
  • Make sure that you are following coding best practices for python.

template's People

Contributors

lokeshmohanty avatar

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