mmoe

There are 14 repositories under mmoe topic.

  • DeepCTR

    shenweichen/DeepCTR

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

    Language:Python7.4k1773672.2k

  • PaddlePaddle/PaddleRec

    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

    Language:Python4.1k190217718

  • median-research-group/LibMTL

    A PyTorch Library for Multi-Task Learning

    Language:Python1.8k1873173

  • huangjunheng/recommendation_model

    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

    Language:Python47847109

  • UlionTse/mlgb

    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。

    Language:Python38912020

  • tangxyw/RecAlgorithm

    主流推荐系统Rank算法的实现

    Language:Python1536340

  • busesese/MultiTaskModel

    multi task mode for esmm and mmoe

    Language:Python1132324

  • YinzhenWan/recome_wan

    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。

    Language:Python31205

  • Gavince/MTL

    学习并复现经典的推荐系统多目标任务，如：SharedBottom、ESMM、MMoE、PLE

    Language:Jupyter Notebook27116

  • chenwr727/esmm_mmoe_deepfm

    基于ESMM、MMoE和deepFM的多目标模型

    Language:Python21105

  • ZiyaoGeng/MTRec

    A simple package about multi-task recommendation

    Language:Python16123

  • Woody5962/Ranked-List-Truncation

    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.

    Language:Jupyter Notebook10211

  • whw199833/gbiz_torch

    A comprehensive toolkit package designed to help you accurately predict key metrics in commercial area

    Language:Python1100

  • brchung2/tech_review

    Review on Google's multitask ranking system by comparing to other methods used in recommender systems

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