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torecsys

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ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in real-world in a smooth and easy way.

Creat2019-08-11T21:07:10
Update2025-01-20T18:03:59
https://pypi.org/project/torecsys/
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