Catalyst is an interdisciplinary machine learning and systems research group exploring problems to automate learning systems. Our research spanning multiple layers of the machine learning and system stack. Our group is a collaboration between researchers from the Machine Learning Department, Computer Science Department and Electrical & Computer Engineering Department at the Carnegie Mellon University.
A universal solution that allows any language model to be deployed natively on a diverse set of hardware backends and native applications.
End-to-end compilation of ML applications with dynamic and irregular control flow and data structure accesses