【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

DeepTables: Deep-learning Toolkit for Tabular data

MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等

CTR模型代码和学习笔记总结

主流推荐系统Rank算法的实现

LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.

用pytorch 方法复现了二十多个经典的推荐算法论文，其中包含排序论文和推荐召回论文，并在demo里面选了一个召回模型和排序模型的运行示例。