Showing 3 of 3 projects
A unified deep learning system for efficient large-scale model training and inference with advanced parallelism strategies.
An open-source library for training and deploying deep learning recommendation models with sparse data at scale using multi-GPU support.
A language for distributed deep learning that simplifies model parallelism by specifying tensor computations across hardware meshes.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.