mbunse / mlcomops
☆17Updated 2 years ago
Alternatives and similar repositories for mlcomops:
Users that are interested in mlcomops are comparing it to the libraries listed below
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆47Updated 3 years ago
- Template repo for kickstarting recipes for regression use case☆54Updated 2 months ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆145Updated 10 months ago
- MLOps maturity assessment☆60Updated last year
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆253Updated 4 months ago
- Joining the modern data stack with the modern ML stack☆195Updated last year
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆206Updated 3 months ago
- A repository that showcases how you can use ZenML with Git☆69Updated 6 months ago
- Learn how to create reliable ML systems by testing code, data and models.☆86Updated 2 years ago
- Frouros: an open-source Python library for drift detection in machine learning systems.☆208Updated 3 weeks ago
- Example repo to kickstart integration with mlflow pipelines.☆74Updated 2 years ago
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆208Updated this week
- 🎲 A curated list of MLOps projects, tools and resources☆186Updated 10 months ago
- Streamline scikit-learn model comparison.☆146Updated 2 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆134Updated last year
- mkdocs + material + cool stuff☆64Updated 2 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆159Updated last year
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆179Updated 7 months ago
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…☆72Updated 9 months ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- A Collection of GitHub Actions That Facilitate MLOps☆207Updated 2 years ago
- This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.☆207Updated 2 years ago
- ☆38Updated 2 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆260Updated 2 years ago
- Get started DVC project☆48Updated 7 months ago
- Software Architecture for ML engineers☆395Updated 2 years ago
- A simple guide to MLOps through ZenML and its various integrations.☆186Updated last year
- Code samples for the Effective Data Science Infrastructure book☆113Updated last year
- ☆43Updated 2 years ago
- Concept drift monitoring for HA model servers.☆101Updated last year