Topic: mmoe Goto Github
Some thing interesting about mmoe
Some thing interesting about mmoe
mmoe,multi task mode for esmm and mmoe
User: busesese
mmoe,基于ESMM、MMoE和deepFM的多目标模型
User: chenwr727
mmoe,学习并复现经典的推荐系统多目标任务,如:SharedBottom、ESMM、MMoE、PLE
User: gavince
mmoe,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
User: huangjunheng
mmoe,A PyTorch Library for Multi-Task Learning
User: median-research-group
mmoe,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、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM,TiSAS,AutoFIS等,包含经典推荐系统数据集criteo 、movielens等
Organization: paddlepaddle
Home Page: https://paddlerec.readthedocs.io/
mmoe,Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
User: shenweichen
Home Page: https://deepctr-doc.readthedocs.io/en/latest/index.html
mmoe,主流推荐系统Rank算法的实现
User: tangxyw
mmoe,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。
User: uliontse
mmoe,A comprehensive toolkit package designed to help you accurately predict key metrics in commercial area
User: whw199833
Home Page: https://whw199833.github.io/gbiz_torch/
mmoe,A framework for Ranked List Truncation, including the implementation of multiple existing deep models, such as BiCut、Choopy and AttnCut. And we propose the multi-task model based on these models.
User: woody5962
mmoe,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。
User: yinzhenwan
Home Page: https://github.com/YinzhenWan/recome_wan
mmoe,A simple package about multi-task recommendation
User: ziyaogeng
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