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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.

Home Page: https://pypi.org/project/torecsys/

License: MIT License

Python 93.32% Jupyter Notebook 6.68%

torecsys's Introduction

hnqw

good night

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Contributors

dependabot[bot] avatar jasper430 avatar p768lwy3 avatar

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