Model-Spider

A Python implementation of LightFM, a hybrid recommendation algorithm.

Deep recommender models using PyTorch.

Learning to Rank in TensorFlow

allRank is a framework for training learning-to-rank neural models based on PyTorch.

Python learning to rank (LTR) toolkit

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model training, model decision visualization, model interpretability and prediction, etc.

My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.

Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM

"AnyGraph: Graph Foundation Model in the Wild"