datawhalechina / torch-rechubLinks
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
☆527Updated this week
Alternatives and similar repositories for torch-rechub
Users that are interested in torch-rechub are comparing it to the libraries listed below
Sorting:
- 《互联网大厂推荐算法实战》资料库☆285Updated 2 years ago
- 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☆615Updated 3 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）☆258Updated 3 weeks ago
- 推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, met…☆211Updated 2 years ago
- 主流推荐系统Rank算法的实现☆249Updated last year
- 推荐算法实战(Recommend algorithm)☆201Updated last month
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆316Updated 2 years ago
- Implementation of DSSM for recommendation by PyTorch (Including SENet and random negative sampling)☆82Updated 2 years ago
- 深度学习与推荐系统学习，理论结合代码更香。☆129Updated 2 years ago
- 优质的推荐算法资源汇总☆147Updated 3 years ago
- 该仓库主要记录 推荐系统 算法工程师相关的面试题☆564Updated 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！☆693Updated 3 years ago
- 推荐系统竞赛TOP开源解决方案汇总。☆256Updated 3 years ago
- 基于 Pytorch 实现推荐系统相关的算法☆178Updated 3 years ago
- 零基础入门推荐系统 - 新闻推荐 Top2☆250Updated 4 years ago
- ☆248Updated 9 months ago
- A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io☆1,169Updated 2 months ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆375Updated 6 months ago
- all kinds of recommendation algorithms implement.☆125Updated 4 years ago
- CTR模型代码和学习笔记总结☆388Updated 3 years ago
- ☆97Updated 4 years ago
- Recommender System Papers☆967Updated 2 years ago
- 该仓库记录搜索推荐算法工程师的必备面试知识点+paper☆263Updated 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…☆130Updated this week
- ☆97Updated 3 years ago
- TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset☆197Updated 3 years ago
- 利用大模型赋能智能推荐，通过案例讲解大模型推荐算法原理，并且给出代码实现。☆77Updated 3 months ago
- 推荐系统学习笔记☆206Updated 2 years ago
- 存放推荐算法相关代码、文档、资料☆249Updated 4 years ago
- Paper List of Pre-trained Foundation Recommender Models☆353Updated 9 months ago