Continuous Machine Learning (CML) is an open-source library for implementing continuous integration & delivery (CI/CD) in machine learning projects. Use it to automate parts of your development workflow, including model training and evaluation, comparing ML experiments across your project history, and monitoring changing datasets.
Project website: https://cml.dev
On every pull request, CML helps you automatically train and evaluate models, then generates a visual report with results and metrics. Above, an example report for a neural style transfer model.
We built CML with these principles in mind:
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🌟 Check out our YouTube video series for hands-on MLOps tutorials using CML! 🌟
Here are some example projects using CML.