"[Discussion]" Should I be using DVC (Data Version Control) in my day-to-day work?

• dvc

  109 13,116 9.7 Python

  🦉 ML Experiments and Data Management with Git

  

You mean https://dvc.org/

• MLflow

  56 17,234 9.9 Python

  Open source platform for the machine learning lifecycle

  

Recently (just a few days back), we started looking into setting up our own wandb-like server using mlflow. It's neat. So, highly recommended to try if you want to track all your experiments.

• 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.

  

• ml-git

  1 32 0.0 Python

  Discontinued ML-Git is a tool which provides a Distributed Version Control system to enable efficient dataset management. Like its name emphasizes, it is meant to be like git in mindset, concept and workflows. ML-Git enables the following operations. Manage a repository of different datasets, labels and models. Versioning immutable versions of models, labels and documents. Distribute these ML artifacts between members of a team or across organizations. Apply the right data governance and security models to t

  

What you did looks like how ml-git works: https://github.com/HPInc/ml-git

Suggest a related project