What GitHub template do you guys follow?

• cookiecutter-data-science

  17 7,588 1.9 Python

  A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

I have to set up a GitHub repo for an upcoming project and was researching some data science templates to follow. I came across cookie cutter and this template by drivendata: https://github.com/drivendata/cookiecutter-data-science

• MLflow

  55 17,234 9.9 Python

  Open source platform for the machine learning lifecycle

  

I would say yes because you won’t know if the newer model has better or worse performance until you test it so you may elect to keep the older one. As your data changes and the model drifts one of the previously trained models might begin to perform better. You also will likely want to switch approaches and may have several different implementations. I suggest checking out MLFlow and setting up a model pipeline and registry. https://mlflow.org/

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• cookiecutter-datascience-lite

  1 1 0.0 Python

  Light `cookiecutter` template for starting data science projects

I also thought that the drivendata template is a great starting point, but is too comprehensive for my needs. Ended up putting together a quick and dirty version that I gradually update as my needs evolve (https://github.com/tnwei/cookiecutter-datascience-lite/). Otherwise I concur w/ the sentiment to just take what works for you and evolve upon that

Suggest a related project