zenml-io / zenml-gitflowLinks
A repository that showcases how you can use ZenML with Git
☆69Updated 2 months ago
Alternatives and similar repositories for zenml-gitflow
Users that are interested in zenml-gitflow are comparing it to the libraries listed below
Sorting:
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 6 months 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
- 🎲 A curated list of MLOps projects, tools and resources☆186Updated last year
- Chassis turns machine learning models into portable container images that can run just about anywhere.☆86Updated last year
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆255Updated 9 months ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- 🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)☆81Updated 3 years ago
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆148Updated last year
- ☆65Updated 3 months ago
- A simple guide to MLOps through ZenML and its various integrations.☆187Updated last year
- An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.☆30Updated 2 years ago
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…☆82Updated last year
- Joining the modern data stack with the modern ML stack☆198Updated 2 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆88Updated 2 years ago
- DagsHub client libraries☆99Updated this week
- Demo on how to use Prefect with Docker☆27Updated 2 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆88Updated 2 years ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆96Updated 2 years ago
- Metadata store for Production ML☆88Updated 2 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆107Updated 2 years ago
- An example MLFlow project☆48Updated 6 months ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆182Updated last year
- Machine Learning Projects with Flytekit☆37Updated 2 years ago
- MLOps simplified. One-stop AI delivery platform, all the features you need.☆100Updated this week
- An MLOps Project for the ZenML Month of MLOps Competition☆20Updated 2 years ago
- BentoML Example Projects 🎨☆137Updated 6 months ago
- Template-based generation of DAG cards from Metaflow classes, inspired by Google cards for machine learning models.☆30Updated 3 years ago
- Examples of using Evidently to evaluate, test and monitor ML models.☆34Updated last month