rocket9-code / mlflow-deployment-controller
Listens MLFlow model registry changes and deploy models based on configurations
☆21Updated last year
Alternatives and similar repositories for mlflow-deployment-controller
Users that are interested in mlflow-deployment-controller are comparing it to the libraries listed below
Sorting:
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆54Updated 8 months ago
- Projects developed by Domino's R&D team☆76Updated 3 years ago
- Concept drift monitoring for HA model servers.☆101Updated 2 years ago
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆69Updated 2 months ago
- ☆17Updated last year
- Chassis turns machine learning models into portable container images that can run just about anywhere.☆86Updated last year
- Joining the modern data stack with the modern ML stack☆197Updated last year
- End to End example integrating MLFlow and Seldon Core☆51Updated 4 years ago
- 🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)☆80Updated 2 years ago
- Machine Learning Projects with Flytekit☆36Updated last year
- HiPlot fetcher for experiments logged with MLflow☆14Updated 3 years ago
- Experimental MLflow plugin for Google Cloud Vertex AI☆37Updated last year
- A repository that showcases how you can use ZenML with Git☆68Updated 9 months ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 4 months ago
- MLOps Python Library☆119Updated 3 years ago
- Enterprise Solution for Text Classification (using BERT)☆10Updated 2 years ago
- Template-based generation of DAG cards from Metaflow classes, inspired by Google cards for machine learning models.☆30Updated 3 years ago
- mlctl is the control plane for MLOps. It provides a CLI and a Python SDK for supporting key operations related to MLOps, such as "model t…☆25Updated 3 years ago
- The project completed for MLops Engineering Lab #1 by Team #1. See our wiki for more info☆16Updated 4 years ago
- real-time data + ML pipeline☆54Updated last month
- A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.☆80Updated last year
- ☆27Updated last year
- Pipeline components that support partial_fit.☆46Updated 10 months ago
- Examples to showcase the use of Kale in data science pipelines☆27Updated 2 years ago
- Dvc + Streamlit = ❤️☆40Updated last year
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆49Updated 3 years ago
- ☆2Updated 2 years ago
- Tools for MLflow☆37Updated last year
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago