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  1. A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.

    Python 467 86

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

    Python 3.3k 1k

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

    Python 490 133

  4. Implementation and experiments of graph embedding algorithms.

    Python 1.1k 346

  5. Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

    Python 214 74

  6. Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

    Python 220 66

206 contributions in the last year

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Contribution activity

May 2020

Created a pull request in shenweichen/DeepMatch that received 1 comment

v0.1.3 add SDm

+1,083 −32 1 comment

Created an issue in shenweichen/DeepMatch that received 2 comments

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