Learning to Rank in the Wild

Introduction

TBA

Learning to Rank in PyTorch

This open-source project, referred to as PTRanking (Learning to Rank in PyTorch) aims to provide scalable and extendable implementations of typical learning-to-rank methods based on PyTorch. On one hand, this project enables a uniform comparison over several benchmark datasets leading to an in-depth understanding of previous learning-to-rank methods. On the other hand, this project makes it easy to develop and incorporate newly proposed models, so as to expand the territory of techniques on learning-to-rank.

Please refer to PTRanking for detailed information.