visenger / Awesome-ML-Model-Governance
This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.
β114Updated 11 months ago
Alternatives and similar repositories for Awesome-ML-Model-Governance:
Users that are interested in Awesome-ML-Model-Governance are comparing it to the libraries listed below
- π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.β145Updated 11 months ago
- π Minimal examples of machine learning tests for implementation, behaviour, and performance.β262Updated 2 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.β82Updated 2 years ago
- A collection of machine learning model cards and datasheets.β75Updated 9 months ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.β37Updated 4 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applicationsβ103Updated last year
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profilβ¦β74Updated 10 months ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.β208Updated 3 years ago
- MLOps Cookiecutter Template: A Base Project Structure for Secure Production ML Engineeringβ40Updated 4 months ago
- Code samples for the Effective Data Science Infrastructure bookβ115Updated last year
- π Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projectsβ81Updated 3 years ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.β254Updated 5 months ago
- A curated list of awesome academic research, books, code of ethics, data sets, institutes, maturity models, newsletters, principles, podcβ¦β68Updated this week
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.β56Updated 2 years ago
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases witβ¦