mmoe topic

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

shenweichen

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

huangjunheng

A PyTorch Library for Multi-Task Learning

median-research-group

Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM...

PaddlePaddle

multi task mode for esmm and mmoe

busesese

主流推荐系统Rank算法的实现

tangxyw

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。

YinzhenWan

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。

UlionTse

A simple package about multi-task recommendation

ZiyaoGeng

基于ESMM、MMoE和deepFM的多目标模型

chenwr727