# 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. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://machine-learning.paperspace.com/wiki/managing-machine-learning-models.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.