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#

xdeepfm

Here are 22 public repositories matching this topic...

DeepCTR

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

  • UpdatedJul 2, 2024
  • Python

MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」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。

  • UpdatedMar 2, 2025
  • Python

Implements of Awesome RecSystem Models with PyTorch/TF2.0

  • UpdatedApr 4, 2020
  • Python

LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.

  • UpdatedOct 30, 2023
  • Python

some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network

  • UpdatedApr 19, 2019
  • Jupyter Notebook

Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.

  • UpdatedJul 26, 2024
  • Python

rater, recommender systems. 推荐模型,包括:DeepFM,Wide&Deep,DIN,DeepWalk,Node2Vec等模型实现,开箱即用。

  • UpdatedSep 1, 2020
  • Python

一些CTR模型和常见特征工程的方法

  • UpdatedApr 10, 2021
  • Python

2018腾讯社交广告33名;

  • UpdatedJul 30, 2018
  • Python

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.

  • UpdatedAug 13, 2019
  • Python

Explicit high order interaction models implemented in Keras, including: DCN, xDeepFM, AutoInt etc.

  • UpdatedMar 25, 2023
  • Python

Deep-learning based CTR models implemented with tensorflow2.0. / 使用tensorflow2.0实现的一些基于深度学习的CTR模型

  • UpdatedJan 26, 2021
  • Jupyter Notebook

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