The OMEGA framework generates executable machine learning classifiers that outperform scikit-learn baselines across 20 benchmark datasets. It integrates meta-prompt engineering with code generation to automate the research cycle from idea to implementation. Practitioners can now install these novel algorithms via the omega-models Python package to test automated discovery against manual engineering.