REP

REP (Reproducible Experiment Platform) is a Python library and toolkit designed to facilitate reproducible machine learning experiments. It wraps various popular machine learning libraries like TMVA, Sklearn, XGBoost, Theanets, and more to provide a unified, sklearn-like interface for estimators, metrics, plotting, parallel computing, and custom data handling. The platform is well-suited for researchers and engineers who want to streamline scientific experiments, enable meta-machine learning workflows, and ensure reproducibility across analyses.