NOTE: The MLOps Incubation Engineering project has become the MLOps team. These pages are left fir historical purposes, but are not actively maintained. Please refer to the MLOps team page for updated information.
Mission: Make GitLab a tool Data Scientists and Machine Learning Engineers love to use.
Vision: Identify opportunities in our portfolio to explore ways where GitLab can provide a better user experience for Data Science and Machine Learning across the entire Machine Learning life cycle (model creation, testing, deployment, monitoring, and iteration).
Updates
May 1st 2023: Model 15.11 Overview
Current Project
Model Registry & Model Experiments
Mission: Make it dead simple for Data Scientists to manage their model lifecycle within GitLab, from testing different candidates to,
packaging a new model version.
NOTE: The MLOps Incubation Engineering project has become the MLOps team. These pages are left fir historical purposes, but are not actively maintained. Please refer to the MLOps team page for updated information.
This is a project led by the Incubation Engineer - MLOps
Make it dead simple for Data Scientists to track their model experiments within GitLab, while making it easy to access
the experiments results across the product (on Model Registry, on MRs, on Issues, etc)
NOTE: The MLOps Incubation Engineering project has become the MLOps team. These pages are left fir historical purposes, but are not actively maintained. Please refer to the MLOps team page for updated information.
This is a project led by the Incubation Engineer - MLOps
Make it dead simple for Data Scientists to track their model lifecycle with GitLab, tracking different candidates,
promoting them into model versions so that they can be served and deployed.
