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Factorization Machine models in PyTorch
Accelerating Inference for Recommendation Systems (WSDM'21)
A ready-to-use framework of the state-of-the-art models for structured (tabular) data learning with PyTorch. Applications include recommendation, CRT prediction, healthcare analytics, anomaly detection, and etc.
Privacy-Preserving Bandits (MLSys'20)
Acceleration and Compression of DeepFwFM.