6 repos
Python libraries and frameworks that automate the machine learning pipeline—from feature engineering and algorithm selection to hyperparameter tuning and model ensembling. This cluster focuses on making machine learning more accessible by reducing the manual work required to build, validate, and deploy models. Central projects like AutoGluon, FLAML, and TPOT exemplify different approaches to automation, while supporting tools address feature engineering, model selection, and end-to-end workflow orchestration.