allRank is a framework for training learning-to-rank neural models based on PyTorch.
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Updated
Aug 6, 2024 - Python
allRank is a framework for training learning-to-rank neural models based on PyTorch.
LibAUC: A Deep Learning Library for X-Risk Optimization
train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc
This module implements LambdaRank as a tensorflow OP in C++. As an example application, we use this OP as a loss function in our keras based deep ranking/recommendation engine. The ranking application embeds slide objects into d-dimensional space(slide2vec), such that we obtain best LambdaRank scores.
normalized discounted cumulative gain
This repository contains python program which ranks the page URLs on the basis of their DCG and nDCG score. the Microsoft Learning Dataset is used to test the program.
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