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@ARASC Recommendation Advertising & Search Community

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    11 repositories

    • embedx

      Public
      embedx 是基于 c++ 开发的、完全自研的分布式 embedding 训练和推理框架。它目前支持 图模型、深度排序、召回模型和图与排序、图与召回的联合训练模型等
      C++
      •
      Other
      •46•0•0•0•Updated Aug 3, 2022Aug 3, 2022

    • GraphEmbedding

      Public
      Implementation and experiments of graph embedding algorithms.
      Python
      •
      MIT License
      •1k•5•0•0•Updated Jun 18, 2022Jun 18, 2022

    • DeepCTR

      Public
      Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
      Python
      •
      Apache License 2.0
      •2.2k•2•0•0•Updated Jun 18, 2022Jun 18, 2022

    • DeepMatch

      Public
      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
      •
      Apache License 2.0
      •534•0•0•0•Updated Jun 18, 2022Jun 18, 2022

    • DeepCTR-Torch

      Public
      【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
      Python
      •
      Apache License 2.0
      •706•2•0•0•Updated Apr 4, 2021Apr 4, 2021

    • ModelTest

      Public
      test script for deepctr
      Python
      •
      Apache License 2.0
      •0•1•0•0•Updated Oct 15, 2020Oct 15, 2020

    • papers

      Public
      papers we read about Recommendation Advertising & Search
      MIT License
      •8•30•0•0•Updated Jun 14, 2020Jun 14, 2020

    • docker

      Public
      Apache License 2.0
      •1•1•0•0•Updated Jun 6, 2020Jun 6, 2020

    • CFGAN

      Public
      Implementation of CFGAN CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks
      Python
      •
      Apache License 2.0
      •11•31•4•0•Updated Jun 3, 2020Jun 3, 2020

    • Tutorials

      Public
      2•0•0•0•Updated Jun 2, 2020Jun 2, 2020

    • ToDoList

      Public
      things we need to to~ welcome to join us!
      0•0•0•0•Updated Jun 1, 2020Jun 1, 2020