visenger / Awesome-ML-Model-Governance
This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.
☆114Updated last year
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
Sorting:
- A curated list of awesome academic research, books, code of ethics, data sets, institutes, maturity models, newsletters, principles, podc…☆71Updated this week
- Learn how to create reliable ML systems by testing code, data and models.☆86Updated 2 years ago
- MLOps Cookiecutter Template: A Base Project Structure for Secure Production ML Engineering☆40Updated 6 months ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆56Updated 2 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆183Updated 10 months ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆263Updated 2 years ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆96Updated 2 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆84Updated 2 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆104Updated last year
- A collection of machine learning model cards and datasheets.☆75Updated 10 months ago
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…☆77Updated last year
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆147Updated last year
- Responsible AI knowledge base☆102Updated 2 years ago
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆49Updated 3 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆159Updated last year
- Practical examples of "Flawed Machine Learning Security" together with ML Security best practice across the end to end stages of the mach…☆109Updated 2 years ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆208Updated 3 years ago
- 📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.☆199Updated 11 months ago
- Metaflow tutorials for ODSC West 2021☆64Updated 3 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshop…☆142Updated 8 months ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆255Updated 7 months ago
- Demo for CI/CD in a machine learning project☆105Updated last year
- Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to s…☆183Updated 3 years ago
- The Fuzzy Labs guide to the universe of open source MLOps☆461Updated 10 months ago
- Template-based generation of DAG cards from Metaflow classes, inspired by Google cards for machine learning models.☆30Updated 3 years ago
- Material for the series of seminars on Large Language Models☆34Updated last year
- ML project template facilitating both research and production phases.☆109Updated 5 years ago
- Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.☆213Updated 2 years ago