Welcome to MLReef documentation.
For all early access users, we suggest starting with this early access documentation. It will give you a fast introduction to the basic concepts and features of MLReef and guide you safely on your pioneering voyage.
If you need more support than you can find here, feel free to either raise a ticket, connect with the MLReef community through our Slack channel or send us an email at email@example.com. You are never alone in the reef!
Regardless of how you use MLReef, we have the following documentation for you:
Discover features and concepts for MLReef users.
|Early Access Documentation
Best start for all early access users.
|Contributing to MLReef
Explore this section if you want to contribute.
|New to GIT and MLReef?
We have the resources to get you started.
Explore the power of MLReef through hands-on use cases!
What´s new in MLReef.
Take a look at some of our most popular documentation resources:
|Setting parameter values on data operations and models.
|Repository classes in MLReef
|Understand the classes and functions of data and code repositories in MLReef.
The ML life cycle
MLReef aims to be the first single application for the entire Machine Learning (ML) life cycle. MLReef builds on the experience gathered in Concurrent DevOps and ML specific operations that will enable you to work faster, be more transparent and use the power of the entire MLReef community to create the best Machine Learning.
MLReef provides solutions for all the stages in MLOps
The following links provide documentation for each MLOps stage:
|Features to create.
|Pipelines and experiments.
|Projects, users, groups and resources.
|Releasing code repositories.
Working with new systems can be daunting.
We have the following documentation to get you started with MLReef:
|Early access guide
|Start using MLReef with a first project!
|Starter guide to using GIT
|Enhance your workflow with the best of MLReef workflow.
Learn more about user management in MLReef.
|Manage your account.
|Manage your groups.