JuliaAI/MLJModels.jl

Model Registry provides a single pane of glass for ML model developers to index and manage models, versions, and ML artifacts metadata. It fills a gap between model experimentation and production activities. It provides a central interface for all stakeholders in the MLOps lifecycle to collaborate on ML models.

Run any ML model from any programming language.

A Julia machine learning framework

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

For recording and retrieving metadata associated with ML developer and data scientist workflows.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Open Machine Learning

A Skill Library for Automated Machine Learning

Core functionality for the MLJ machine learning framework