yuhuiaws / ML-studyLinks
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
☆316Updated last year
Alternatives and similar repositories for ML-study
Users that are interested in ML-study are comparing it to the libraries listed below
Sorting:
- 推荐系统综述☆531Updated 2 years ago
- ☆46Updated 3 years ago
- 《互联网大厂推荐算法实战》资料 库☆304Updated 2 years ago
- 该仓库主要记录 推荐系统 算法工程师相关的面试题☆581Updated 2 years ago
- A Lighting Pytorch Framework for Recommendation Models (PyTorch推荐算法框架), Easy-to-use and Easy-to-extend. https://datawhalechina.github.io/…☆650Updated this week
- An easy-to-use framework for large scale recommendation algorithms.☆280Updated this week
- CTR模型代码和学习笔记总结☆396Updated 4 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☆312Updated last year
- 推荐系统竞赛TOP开源解决方案汇总。☆268Updated 4 years ago
- 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！☆714Updated 3 years ago
- 优质的推荐算法资源汇总☆170Updated 3 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.)☆180Updated last year
- ☆155Updated 5 years ago
- some useful papers and blogs for people who are interested in online advertising☆75Updated 3 years ago
- A Deep Learning Recommender System☆2,688Updated last year
- ☆163Updated 5 years ago
- 推荐系统学习笔记☆217Updated 2 years ago
- A flexible, high-performance framework for large-scale retrieval problems based on TensorFlow.☆169Updated 10 months ago
- TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset☆212Updated 4 years ago
- ☆284Updated 3 months ago
- 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☆1,021Updated last year
- 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…☆210Updated 3 weeks ago
- DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foun…☆1,148Updated 10 months 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☆1,785Updated 2 years ago
- ☆75Updated 2 years ago
- A framework for large scale recommendation algorithms.☆2,216Updated last month
- Implementation of DSSM for recommendation by PyTorch (Including SENet and random negative sampling)☆93Updated 3 years ago
- esmm model by tensorflow keras☆72Updated 4 years ago
- CTR prediction model based on spark(LR, GBDT, DNN)☆921Updated 5 years ago
- 推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/☆293Updated 4 years ago