rocket9-code / mlflow-deployment-controllerLinks
Listens MLFlow model registry changes and deploy models based on configurations
☆20Updated 2 years ago
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:
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆56Updated 4 months ago
- Projects developed by Domino's R&D team☆77Updated 3 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- HiPlot fetcher for experiments logged with MLflow☆14Updated 3 years ago
- Concept drift monitoring for HA model servers.☆101Updated 2 years ago
- Machine Learning Projects with Flytekit☆36Updated 2 years ago
- 🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)☆80Updated 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 4 years ago
- Joining the modern data stack with the modern ML stack☆201Updated 2 years ago
- MLOps Python Library☆120Updated 3 years ago
- A repository that showcases how you can use ZenML with Git☆71Updated 3 months ago
- Chassis turns machine learning models into portable container images that can run just about anywhere.☆86Updated last year
- Dvc + Streamlit = ❤️☆40Updated 2 years ago
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆72Updated 6 months ago
- End to End example integrating MLFlow and Seldon Core☆52Updated 5 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- 🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.☆153Updated last week
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆86Updated last year
- The easiest way to integrate Kedro and Great Expectations☆54Updated 2 years ago
- 🎯 kettle is a CLI tool for creating and deploying cloud functions & docker containers for machine learning☆32Updated 2 years ago
- Scaling Python Machine Learning☆50Updated 2 years ago
- Toolkit for developing and maintaining ML models☆154Updated last year
- A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and …☆40Updated 3 years ago
- 🍦 Deployment tool for online machine learning models☆98Updated 3 years ago
- Dataset registry DVC project☆83Updated last year
- ☆17Updated 2 years ago
- Metadata store for Production ML☆88Updated 3 years ago
- Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark☆74Updated 2 years ago
- Kedro Plugin to support running workflows on GCP Vertex AI Pipelines☆37Updated 3 weeks ago
- 🎲 A curated list of MLOps projects, tools and resources☆185Updated last year