Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
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Updated
Jul 2, 2026 - Python
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).
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
Tensorflow implementation of DeepFM for CTR prediction.
A pure JavaScript implementation of the AES block cipher and all common modes of operation for node.js or web browsers.
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)
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
Collection of stream cipher algorithms
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.
Deep-Learning based CTR models implemented by PyTorch
Go DeepLearning based Recommendation Framework
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。
Crash Team Racing (PS1) tools - a C# framework and a set of tools by DCxDemo to parse files found in the original kart racing game by Naughty Dog (and a bit of Crash Bash too).
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