yuhuiaws / ML-study
自己整理了一些ML入门的知识，以及ML项目中的一些经验总结分享
☆285Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for ML-study
- 《互联网大厂推荐算法实战》资料库☆214Updated last year
- A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.☆414Updated 6 months ago
- 该仓库主要记录 推荐系统 算法工程师相关的面试题☆518Updated last year
- CTR模型代码和学习笔记总结☆377Updated 3 years ago
- 推荐系统综述☆461Updated last year
- 推荐系统学习笔记☆190Updated last year
- 原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！☆649Updated 2 years ago
- 在常规推荐系统算法和系统双优化的范式下，一线公司针对单个任务或单个业务的效果挖掘几乎达到极限。从2019年我们开始关注多种信息的萃取融合，提出了OneRec算法，希望通过平台或外部各种各样的信息来进行知识集成，打破数据孤岛，极大扩充推荐的“Extra World Knowl…☆96Updated last week
- TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset☆176Updated 3 years ago
- ☆42Updated 2 years ago
- 一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... （pytorch, tf2.0）☆237Updated 2 years ago
- 计算广告机制策略相关材料整理(A collection of research and application papers about Strategy in Internet advertising.)☆141Updated 8 months ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆292Updated last year
- 推荐系统竞赛TOP开源解决方案汇总。☆228Updated 3 years ago
- 【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容☆1,589Updated last year
- some useful papers and blogs for people who are interested in online advertising☆64Updated last year
- 练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等☆543Updated 2 years ago
- 主流推荐系统Rank算法的实现☆188Updated last year
- 推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction☆994Updated 9 months ago
- A framework for large scale recommendation algorithms.☆1,780Updated this week
- 存放推荐算法相关代码、文档、资料☆226Updated 3 years ago
- A Go web framework for quickly building recommendation online services based on JSON configuration.☆64Updated this week
- 推荐系统从入门到实战☆168Updated 2 years ago
- Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.☆885Updated 3 years ago
- 优质的推荐算法资源汇总☆86Updated 2 years ago
- 推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/☆283Updated 3 years ago
- embedx 是基于 c++ 开发的、完全自研的分布式 embedding 训练和推理框架。它目前支持 图模型、深度排序、召回模型和图与排序、图与召回的联合训练模型等☆300Updated 5 months ago
- CTR prediction model based on spark(LR, GBDT, DNN)☆906Updated 4 years ago
- CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)☆918Updated 4 years ago
- ☆90Updated 3 years ago