Recommendation Systems
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A deep learning library built on PyTorch that provides high-level components for rapid results and low-level components for research flexibility.
A deep learning library built on PyTorch that provides high-level components for rapid results and low-level components for research flexibility.
A repository of examples, utilities, and best practices for building and deploying production-ready recommendation systems.
An open-source library for training and deploying deep learning recommendation models with sparse data at scale using multi-GPU support.
A high-performance, easy-to-use, and scalable machine learning package for linear models, factorization machines, and field-aware factorization machines.
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