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A Framework for Production-Ready Continuous Machine Learning

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CML

"Domain generalization is dead, Continuous Machine Learning lives forever." —— an iKun

CML is a framework for production-ready continuous machine learning in pure Rust.

Test Status Coverage Status

Motivation

Domain-specific problem are widely prevalent in real-world scenarios.

To address this problem:

Traditional method CML method
  • Increasing the amount of training data
  • Optimizing model architecture
  • Applying diverse data augmentation techniques
Combining Continuous Integration
with Machine Learning

How does it work?

See our architecture document.

Contributing

There is currently no code of conduct document available. However, we highly recommend that you read our architecture document first and foremost.