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Data Science Project Repository Template

This repo constitutes a skeleton for a typical ML/DS project. Docker is a first class citizen and can be customized by editing the provided Dockerfile.

When starting a new project, please do the following:

  1. On GitHub, create your own repository from this template by clicking the "Use this template" button
  2. Update DOCKER_IMAGE_NAME in start.sh. Also set "name" in .devcontainer/devcontainer.json to the same name.
  3. In .devcontainer/devcontainer.json, update the source=tobias-default-home to the same name (but with dashes instead of slashes + "-home"). This is for the same home volume to be used whether or not the container is started with start.sh script or VS Code.

The devcontainer can either be started in a terminal, using the start.sh script:

./start.sh [--gpu] [-v|--mount /host/path:/container/path] [--detach]

Or using the Dev Containers extension to VS Code.

  • Run Remote-Containers: Reopen in container (F1).