A library for preparing and evaluating scalable deep learning hybrid recommender systems
collie A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch. Collie is a library for preparing, training, and evaluating implicit deep learning hybrid recommender systems, named after the Border Collie dog breed. Collie offers a collection of simple APIs for preparing and splitting datasets, incorporating item metadata directly into a model architecture or loss, efficiently evaluating a model’s performance on the GPU, and so much more. Above all else though, Collie is built with […]
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