torecsys (pypi): 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, reproduce, and deploy in real world in a smooth and easy way.
Keywords: recsys|recommendersystem|recommendationsystem|machinelearning|deeplearning|research|ctr|clickthroughrate|click-through-rate|embedding-models|python|pytorch|recommendation-system|recommender-system