> For the complete documentation index, see [llms.txt](https://machine-learning.paperspace.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://machine-learning.paperspace.com/wiki/managing-machine-learning-models.md).

# Managing Machine Learning Models

## Managing Models with a Model Catalog

A *model catalog* (commonly referred to as a *model store*) is a collection of private models in development and models that are deployed to production.  A model catalog helps store, version, analyze, and deploy machine learning models. 

## Model Zoo

A model zoo is a collection of pre-trained models ready to be deployed.  Models can either be deployed directly or re-refitted to a new dataset with [transfer learning](/wiki/transfer-learning.md). 

## Managing Models + Gradient

Gradient provides both a model catalog and model zoo for working with private and public models.  Gradient brings a shared [model repository](https://docs.paperspace.com/gradient/models/about) to organizations of any scale which reduces tedious tasks and can accelerate adoption of machine learning throughout an entire organization. 


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