Popular GitHub Repositories for Ctr Prediction

A unified, comprehensive and efficient recommendation library

Recommender Learning with Tensorflow2.x

A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

Factorization Machine models in PyTorch

CTR prediction model based on spark(LR, GBDT, DNN)

TensorFlow Script

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.

Paper List for Recommend-system PreTrained Models

A highly-modularized and recommendation-efficient recommendation library based on PyTorch.

Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark

The collection of papers about recommender system

[CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"

✨ DJANGO3.1 网站，集成用户管理，文章博客管理，算法模型可视化系统等功能

The source code of MacGNN, The Web Conference 2024.

?Notes and remarks on Machine Learning related papers

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.

CTR模型代码和学习笔记总结

CTR Prediction Model Developed In A Federated Setup On Avazu Dataset.

Digital marketing analytics solution that scrapes websites for SEO factors and predicts advertisement CTR

基于SQL和LightGBM的实时广告点击率预测流水线