Showing 4 of 4 projects
A distributed, fast open-source graph database for large-scale data with horizontal scalability and high availability.
A Python library implementing hybrid recommendation algorithms with metadata support for both implicit and explicit feedback.
A unified, comprehensive, and efficient Python/PyTorch library for reproducing and developing recommendation algorithms.
Fast Python library for collaborative filtering recommendation algorithms on implicit feedback datasets.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.