santiagxf / mlflow-deployments
Source code for the post Effortless deployments with MLFlow, showcasing how logging models using MLFLow can provide you want to easily deploy them in production later.
☆16Updated last year
Alternatives and similar repositories for mlflow-deployments:
Users that are interested in mlflow-deployments are comparing it to the libraries listed below
- Managing Data and Model Drift with Azure Machine Learning☆43Updated 2 years ago
- This repository contains sample code, which is used for a MLOps Workshop☆26Updated last year
- MLOps using Azure Databricks, Azure DevOps and Azure ML Services☆56Updated 4 years ago
- Capturing model drift and handling its response - Example webinar☆108Updated 5 years ago
- ☆27Updated 2 years ago
- ☆39Updated 3 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- Modular and minimalistic MLOps recipes☆70Updated 5 years ago
- ☆30Updated 2 years ago
- ☆29Updated 8 months ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 3 months ago
- Guided accelerator consolidating best practice patterns, IaaC and AML code artefacts to provide a reference approach to implementing MLOp…☆47Updated last year
- Demo repository implementing an end-to-end MLOps workflow on Databricks, using Azure DevOps for CICD orchestration. Project derived from …☆29Updated 2 years ago
- ☆34Updated 2 months ago
- Prescriptive MLOps scenarios for building, deploying and monitoring machine learning models with Azure Machine Learning.☆15Updated last year
- Demo of Streamlit application with Databricks SQL Endpoint☆36Updated 2 years ago
- Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps☆63Updated 3 years ago
- Tuning the Finetuning: An exploration of achieving success with QLoRA☆44Updated 11 months ago
- ☆17Updated 2 years ago
- Example repo to kickstart integration with mlflow recipes.☆44Updated 2 months ago
- ML Ops Accelerator: Databricks & Azure Machine Learning Unification☆74Updated 8 months ago
- This repository showcases how to implement trunk-based development workflow while working in a Machine Learning project.☆38Updated 2 years ago
- ☆15Updated last year
- ☆23Updated 10 months ago
- A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlo…☆81Updated last year
- MLOps maturity assessment☆61Updated 2 years ago
- ☆14Updated last year
- ☆13Updated last year
- Azure plugins for Feast (FEAture STore)☆82Updated last year
- Mastering Azure Machine Learning - Second Edition, published by Packt☆35Updated last year