SaschaDittmann / MLOps-Lab
This repository contains sample code, which is used for a MLOps Workshop
☆26Updated last year
Alternatives and similar repositories for MLOps-Lab:
Users that are interested in MLOps-Lab are comparing it to the libraries listed below
- Modular and minimalistic MLOps recipes☆70Updated 5 years ago
- MLOps using Azure Databricks, Azure DevOps and Azure ML Services☆56Updated 3 years ago
- Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps☆60Updated 3 years ago
- Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.☆84Updated last year
- MLOps practices using Azure ML service with Python SDK and Databricks for model training☆47Updated 4 years ago
- Prescriptive guidance for building, deploying, and monitoring machine learning models with Azure Databricks using containers in line with…☆23Updated 7 months ago
- ☆39Updated 3 years ago
- This repository showcases how to implement trunk-based development workflow while working in a Machine Learning project.☆38Updated 2 years ago
- Capturing model drift and handling its response - Example webinar☆107Updated 5 years ago
- Guided accelerator consolidating best practice patterns, IaaC and AML code artefacts to provide a reference approach to implementing MLOp…☆46Updated 11 months ago
- ☆13Updated 3 years ago
- End-to-end proof of concept showing core MLOps practices to develop, deploy and monitor a machine learning model for an employee retentio…☆14Updated 9 months ago
- Source code for the post Effortless deployments with MLFlow, showcasing how logging models using MLFLow can provide you want to easily de…☆16Updated last year
- Template for getting started with automated ML Ops on Azure Machine Learning☆127Updated 2 years ago
- E2E MLOps with Databricks☆14Updated 3 months ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆44Updated 5 years ago
- Batch scoring Spark models on Azure Databricks: A predictive maintenance use case☆50Updated 5 years ago
- ☆196Updated 2 years ago
- ☆15Updated last year
- Managing Data and Model Drift with Azure Machine Learning☆43Updated 2 years ago
- ☆23Updated 8 months ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…☆38Updated 3 years ago
- DevOps for AI project using Azure Databricks, Azure DevOps and Azure Machine Learning Service☆16Updated 3 years ago
- Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.☆71Updated last year
- ML Ops Accelerator: Databricks & Azure Machine Learning Unification☆72Updated 7 months ago
- Prescriptive MLOps scenarios for building, deploying and monitoring machine learning models with Azure Machine Learning.☆15Updated last year
- Azure MLOps☆135Updated last year
- This repo demonstrates GitHub actions to build and deploy your ML application☆36Updated last year
- End-to-end MLOps Credit Default Project using DABs☆17Updated 3 months ago
- Providing tools and templates to facilitate modern MLOps practices☆82Updated 6 months ago