Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
-
Updated
Aug 9, 2024 - Python
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Tensorflow implementation of DeepFM for CTR prediction.
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
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.
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"
4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.
Collection of stream cipher algorithms
Deep-Learning based CTR models implemented by PyTorch
Go DeepLearning based Recommendation Framework
主流推荐系统Rank算法的实现
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.
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).
Add a description, image, and links to the ctr topic page so that developers can more easily learn about it.
To associate your repository with the ctr topic, visit your repo's landing page and select "manage topics."