Welcome to the Deeploy documentation!
The documentation is organised to both get you started as a beginner ad answer more advanced questions.
Deeploy is MLOps software focused on making explainable Machine Learning (ML) deployments. We are convinced of the importance of human involvement in ML systems. This means that every developer or every end-user understands how the decision by an ML system has been made and how it can be reproduced.
We provide a platform where data scientists can manage ML deployments themselves while accounting for technical and compliance risks. We expect you to be using a Git based version control system like GitLab. From here, we offer you a way to manage your deployments by either using the UI or our Python client.
In case you need support outside of the documentation:
- Create a ticket from your app.deeploy.ml account by clicking the questionmark in the header
- Send an email to email@example.com