repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
databricks/mlops-stacks
This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 59%The Deployed Data Scientist by Ankit Anand, Dr. Scott Burk and Kinshuk Dutta Showcases Practical MLOps Expertise - EIN Presswire →
- PossiblePossibly related (embedding) · 47%Operating AI/ML Workloads on Kubernetes: A Headlamp Plugin for Kubeflow →
- PossiblePossibly related (embedding) · 53%Databricks expands Microsoft Azure partnership, to use more custom chips - The Economic Times →
- PossiblePossibly related (embedding) · 50%Azure Databricks delivers proven business value →
- PossiblePossibly related (embedding) · 52%Run, debug, and scale Databricks workloads from your local IDE - Databricks →
Covers
Covers (incoming)
Related across the graph
newsAzure Databricks delivers proven business valuenewsThe Deployed Data Scientist by Ankit Anand, Dr. Scott Burk and Kinshuk Dutta Showcases Practical MLOps Expertise - EIN PresswirenewsDatabricks expands Microsoft Azure partnership, to use more custom chips - The Economic TimesnewsOperating AI/ML Workloads on Kubernetes: A Headlamp Plugin for KubeflownewsRun, debug, and scale Databricks workloads from your local IDE - Databricks