Popular GitHub Repositories for Ml Ops

A curated list of articles that cover the software engineering best practices for building machine learning applications.

An open-source ML pipeline development platform

A Collection of GitHub Actions That Facilitate MLOps

Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.

The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt

Find the samples, in the test data, on which your (generative) model makes mistakes.

This GitHub repository showcases the implementation of a comprehensive end-to-end MLOps pipeline using Amazon SageMaker pipelines to deploy and manage 100x machine learning models. The pipeline covers data pre-processing, model training/re-training, hyperparameter tuning, data quality check,model quality check, model registry, and model deployment.

A ready to use architecture for processing data and performing machine learning in Azure

Sample Airflow ML Pipelines

Repository showcasing ML Ops practices with kubeflow and mlflow