artefactory / one-click-mlflowLinks
A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command
☆69Updated 2 weeks ago
Alternatives and similar repositories for one-click-mlflow
Users that are interested in one-click-mlflow are comparing it to the libraries listed below
Sorting:
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆54Updated 8 months ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆254Updated 7 months ago
- The easiest way to integrate Kedro and Great Expectations☆52Updated 2 years ago
- Listens MLFlow model registry changes and deploy models based on configurations☆21Updated last year
- End to End example integrating MLFlow and Seldon Core☆51Updated 4 years ago
- Joining the modern data stack with the modern ML stack☆197Updated 2 years ago
- Experimental MLflow plugin for Google Cloud Vertex AI☆38Updated last week
- ☆60Updated last year
- A repository that showcases how you can use ZenML with Git☆69Updated 2 weeks ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- Capturing model drift and handling its response - Example webinar☆108Updated 5 years ago
- Concept drift monitoring for HA model servers.☆101Updated 2 years ago
- A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.☆80Updated last year
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆210Updated 7 months ago
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆215Updated 2 months ago
- PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more☆228Updated last year
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆183Updated 10 months ago
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.☆234Updated last year
- A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and …☆39Updated 2 years ago
- Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withou…☆113Updated last year
- Templates for your Kedro projects.☆76Updated last week
- First-party plugins maintained by the Kedro team.☆103Updated this week
- Load Testing ML Microservices for Robustness and Scalability☆14Updated 3 years ago
- Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner☆71Updated 3 years ago
- BentoML Example Projects 🎨☆138Updated 4 months ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆147Updated last year
- Example repo to kickstart integration with mlflow pipelines.☆76Updated 2 years ago
- ☆44Updated 2 years ago
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆48Updated 3 years ago
- Examples of data science projects created with Kedro.☆172Updated 2 years ago