RENOIR is a modular open-source platform for robust and reproducible machine learning analysis that aims to address issues of reproducibility and generalization in AI research. It offers standardized pipelines for model training and testing, automated report generation, and has been successfully applied to various benchmark datasets and real-world studies.
