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iFe1er (Fuhang) · GitHub

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  1. SMU_pytorch SMU_pytorch Public

    A Pytorch implementation of SMU: SMOOTH ACTIVATION FUNCTION FOR DEEP NETWORKS USING SMOOTHING MAXIMUM TECHNIQUE

    Python 45 7

  2. 2018-KDD-Cup-Top1-Solutions 2018-KDD-Cup-Top1-Solutions Public

    Forked from luoda888/2018-KDD-Cup-Top1-Solutions

    2018 KDD Cup Top1 Solutions

  3. SMU SMU Public

    Tensorflow Implementation of SMU: SMOOTH ACTIVATION FUNCTION FOR DEEP NETWORKS USING SMOOTHING MAXIMUM TECHNIQUE

    Python 5

  4. shenweichen/DeepCTR shenweichen/DeepCTR Public

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

    Python 8k 2.2k

  5. multithread-proxy multithread-proxy Public

    Python 31 19

  6. AlitaNet AlitaNet Public

    AlitaNet: A click through rate (ctr) prediction deep learning Network implementation with TensorFlow, including LR, FM, AFM, Wide&Deep, DeepFM, xDeepFM, AutoInt, FiBiNet, LS-PLM, DCN, etc.

    Python 14 3

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