Open-source alternatives to 4ab9c716167b5d9aee6a222f7301ac60

Template repository for data science lifecycle project

MLOps-Basics is a collection of implementation guides and blueprints for automating the machine learning lifecycle. It provides practical workflows for managing the transition of models from training to production deployment, focusing on the integration of operational tools into the machine learning pipeline. The project features specific architectural patterns for deploying containerized models using serverless infrastructure and cloud registries. It includes frameworks for tracking large datasets and model artifacts via remote storage, as well as guides for converting models into standardiz

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