apollo

Apollo is a Python library providing a unified suite of post-hoc statistical procedures for metrics commonly used in computational and machine learning/deep learning pipelines. Its key focus is on bias-aware corrections, which adjust statistical estimates to account for potential biases in data or model outputs. This makes it suitable for researchers and practitioners needing robust statistical analysis of model performance or other computational metrics. The project is currently at an early stage, with the README providing a high-level description of its purpose.