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
- ML Ops Accelerator: Databricks & Azure Machine Learning Unification☆81Updated last year
- Modular and minimalistic MLOps recipes☆71Updated 5 years ago
- Managing Data and Model Drift with Azure Machine Learning☆48Updated 3 years ago
- End to End example integrating MLFlow and Seldon Core☆52Updated 5 years ago
- Template for getting started with automated ML Ops on Azure Machine Learning☆130Updated 3 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆184Updated last year
- This repository contains sample code, which is used for a MLOps Workshop☆28Updated 2 years ago
- Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps☆63Updated 3 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 11 months ago
- Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.☆94Updated 9 months ago
- MLOps maturity assessment☆61Updated 2 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆151Updated last year
- Examples of using Evidently to evaluate, test and monitor ML models.☆44Updated 2 weeks ago
- ☆30Updated 2 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- Providing tools and templates to facilitate modern MLOps practices☆89Updated last year
- MLOps using Azure Databricks, Azure DevOps and Azure ML Services☆56Updated 4 years ago
- ☆28Updated 3 years ago
- Support ML teams to accelerate their model deployment to production leveraging Azure☆92Updated last year
- Tuning the Finetuning: An exploration of achieving success with QLoRA☆45Updated last year
- Syllabus for Artificial Intelligence for Product Innovation Master of Engineering: https://ai.meng.duke.edu/degree☆32Updated 2 years ago
- ☆40Updated 3 years ago
- A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlo…☆87Updated 2 years ago
- Azure plugins for Feast (FEAture STore)☆84Updated last year
- DevOps for AI project using Azure Databricks, Azure DevOps and Azure Machine Learning Service☆16Updated 4 years ago
- Template repo for kickstarting recipes for regression use case☆55Updated last year
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…☆90Updated last year
- An end-to-end project on customer segmentation☆83Updated 3 years ago
- Code samples for the Effective Data Science Infrastructure book☆116Updated 2 years ago