Adala is a data-centric AI framework focused on dataset curation, annotation, and validation. It helps AI teams manage high-quality training datasets by providing tools for data auditing, error detection, and quality assessment.
This project provides a framework for testing and comparing different machinelearning algorithms (particularly reinforcement learning methods) in different scenarios. Its intended area of application is in research and education.