xdeepfm
There are 22 repositories under xdeepfm topic.
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
shenweichen/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
ZiyaoGeng/RecLearn
Recommender Learning with Tensorflow2.x
rixwew/pytorch-fm
Factorization Machine models in PyTorch
qiaoguan/deep-ctr-prediction
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
DataCanvasIO/DeepTables
DeepTables: Deep-learning Toolkit for Tabular data
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。
DSXiangLi/CTR
CTR模型代码和学习笔记总结
JianzhouZhan/Awesome-RecSystem-Models
Implements of Awesome RecSystem Models with PyTorch/TF2.0
tangxyw/RecAlgorithm
主流推荐系统Rank算法的实现
Hirosora/LightCTR
LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
qian135/ctr_model_zoo
some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network
shawroad/DeepCTR-pytorch
Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.
shibing624/rater
rater, recommender systems. 推荐模型，包括：DeepFM，Wide&Deep，DIN，DeepWalk，Node2Vec等模型实现，开箱即用。
TIXhjq/ML_Function
一些CTR模型和常见特征工程的方法
End-the-cold-night/deeprec
A easy library for recommendation system or computational advertising
John-Yao/Tencent_Social_Ads2018
2018腾讯社交广告33名；
iFe1er/AlitaNet
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.
ShawnyXiao/ExplicitHighOrderInteraction-Keras
Explicit high order interaction models implemented in Keras, including: DCN, xDeepFM, AutoInt etc.
zxxwin/DeepCTR_tensorflow2
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
phxtu/deep-rec
recommendation using deep-learning; ctr
dev-wei/recman
Reusable deep learning models for recommendation systems