ml-visuals is a machine learning figure library and research asset repository containing reusable scientific diagrams and visual templates. It provides a modular system of graphical primitives and layout templates designed to standardize the visual representation of machine learning concepts and architectures.
The project utilizes a schema-driven illustration system that defines visual elements and spatial relationships using structured data to ensure reproducible scientific figures. This framework allows for the creation of professional diagrams and charts for academic papers and technical presentations through a centralized registry of standardized components.
The system covers technical asset management and research figure standardization, allowing users to compose visuals from predefined templates and export them into multiple file formats for use in external documents. It supports a collaborative workflow where contributors can propose and store versioned visual assets in a shared repository.