What are the best tools for model versioning?

What are the best tools for model versioning?

There are several great tools for model versioning, including DVC, MLflow, and Weights & Biases. Each has its own strengths.

Can you explain the main features of DVC?

DVC (Data Version Control) is designed for data science projects. It allows you to version control datasets and models, track experiments, and collaborate with your team.

How does MLflow compare to DVC?

MLflow is more focused on the entire machine learning lifecycle, including tracking experiments, packaging code, and sharing models, while DVC is more about data and model versioning.

Which tool is better for collaboration?

It depends on your team's needs. MLflow offers more features for collaboration, while DVC is great for versioning and can be integrated with Git for team workflows.

Are there any free options available?

Yes, both DVC and MLflow are open-source and free to use, making them accessible for individuals and teams.