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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 a ecosystem to experiment, share, reprodu
pip install torecsys
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torecsys publishes 0 wheels and 1 source archive for version 0.0.1.dev2. Wheel platform tags: No wheel platform tags.
Declared Python classifiers: 3.8, 3.9.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .