UniRank:UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction
torecsys: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.
spark-gbtlr:Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
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