santiagxf / mlflow-deploymentsLinks
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 2 years ago
Alternatives and similar repositories for mlflow-deployments
Users that are interested in mlflow-deployments are comparing it to the libraries listed below
Sorting:
- Capturing model drift and handling its response - Example webinar☆108Updated 6 years ago
- Modular and minimalistic MLOps recipes☆71Updated 5 years ago
- ML Ops Accelerator: Databricks & Azure Machine Learning Unification☆81Updated last year
- Template for getting started with automated ML Ops on Azure Machine Learning☆130Updated 3 years ago
- Managing Data and Model Drift with Azure Machine Learning☆48Updated 3 years ago
- End to End example integrating MLFlow and Seldon Core☆51Updated 5 years ago
- Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.☆94Updated 10 months ago
- Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps☆63Updated 4 years ago
- ☆18Updated last year
- Support ML teams to accelerate their model deployment to production leveraging Azure☆92Updated last year
- MLOps maturity assessment☆61Updated 2 years ago
- Examples of using Evidently to evaluate, test and monitor ML models.☆47Updated last month
- Tuning the Finetuning: An exploration of achieving success with QLoRA☆45Updated last year
- Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.☆82Updated last month
- ☆28Updated 3 years ago
- Azure plugins for Feast (FEAture STore)☆84Updated 2 years ago
- MLOps using Azure Databricks, Azure DevOps and Azure ML Services☆56Updated 4 years ago
- Turning AML compute into Ray cluster☆78Updated 4 months ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated last year
- Providing tools and templates to facilitate modern MLOps practices☆89Updated last year
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆184Updated last year
- ☆31Updated 2 years ago
- ☆17Updated 2 years ago
- Mastering Azure Machine Learning - Second Edition, published by Packt☆36Updated last month
- This repository contains sample code, which is used for a MLOps Workshop☆28Updated 2 years ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆36Updated 2 years ago
- An end-to-end project on customer segmentation☆83Updated 3 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆151Updated last year
- 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 three …☆241Updated 5 years ago
- Modern Techniques for Data Science with Big Datasets☆12Updated 2 years ago