ctr

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

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our paper "Deep Learning to Rank in Industrial Search Engines, Recommender Systems, and Online Advertising - An Overview and New Perspectives" (TOIS 2026).

Tensorflow implementation of DeepFM for CTR prediction.

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

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

Pure-Python implementation of AES block-cipher and common modes of operation.

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

主流推荐系统Rank算法的实现

4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.

Implements of Awesome RecSystem Models with PyTorch/TF2.0

Deep-Learning based CTR models implemented by PyTorch

ElasticCTR，即飞桨弹性计算推荐系统，是基于Kubernetes的企业级推荐系统开源解决方案。该方案融合了百度业务场景下持续打磨的高精度CTR模型、飞桨开源框架的大规模分布式训练能力、工业级稀疏参数弹性调度服务，帮助用户在Kubernetes环境中一键完成推荐系统部署，具备高性能、工业级部署、端到端体验的特点，并且作为开源套件，满足二次深度开发的需求。

Large batch training of CTR models based on DeepCTR with CowClip.

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

Multi-threaded Facebook scraper for social analytics of public and owned pages

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

推荐系统的pytorch算法实现

✨ 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

Tensorflow2.x implementations of CTR（LR、FM、FFM)

keras implementation about Deep Interest Network