microsoft/dstoolkit-mlops-databricks
ML Ops Accelerator: Databricks & Azure Machine Learning Unification
This project helps data professionals automate the deployment and management of machine learning projects built on Azure Databricks. It takes your machine learning code and associated configurations, and automatically sets up and deploys it across development, testing, and production environments in Azure. Data scientists and machine learning engineers will use this to streamline their MLOps workflows.
No commits in the last 6 months.
Use this if you are a data scientist or machine learning engineer struggling to automate the deployment and continuous integration of your Azure Databricks-based machine learning models.
Not ideal if your organization does not use Azure Databricks or requires a different cloud provider for ML deployments.
Stars
81
Forks
72
Language
Python
License
MIT
Category
Last pushed
Aug 05, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/microsoft/dstoolkit-mlops-databricks"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
apache/airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
mlrun/mlrun
MLRun is an open source MLOps platform for quickly building and managing continuous ML...
clearml/clearml
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data...
argoproj-labs/hera
Hera makes Python code easy to orchestrate on Argo Workflows through native Python integrations....
argoproj/argo-workflows
Workflow Engine for Kubernetes