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
☆685Mar 14, 2022Updated 4 years ago
Alternatives and similar repositories for recommendation_model
Users that are interested in recommendation_model are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- multi task mode for esmm and mmoe☆158Jul 22, 2021Updated 4 years ago
- 基于 Pytorch 实现推荐系统相关的算法☆190Nov 17, 2021Updated 4 years ago
- 该仓库尝试整理推荐系统领域的一些经典算法模型☆2,182Oct 15, 2023Updated 2 years ago
- 学习并复现经典的推荐系统多目标任务,如:SharedBottom、ESMM、MMoE、PLE☆41Jul 30, 2022Updated 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)☆279May 9, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆345Jan 23, 2026Updated 4 months ago
- 【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.☆3,434Apr 18, 2026Updated last month
- The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.☆140Dec 22, 2020Updated 5 years ago
- 推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/☆7,121Apr 16, 2026Updated last month
- Recommender Learning with Tensorflow2.x☆1,986Apr 29, 2022Updated 4 years ago
- A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.☆1,148May 16, 2026Updated last week
- A PyTorch implementation of DeepFM for CTR prediction problem.☆407Jun 1, 2021Updated 4 years ago
- Easy-to-use,Modular and Extendible package of deep-learning based CTR models .☆8,032Apr 26, 2026Updated last month
- 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!☆726Jan 19, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset☆218Oct 21, 2021Updated 4 years ago
- 推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.☆2,140Mar 25, 2026Updated 2 months ago
- A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io☆1,423May 16, 2026Updated last week
- A unified, comprehensive and efficient recommendation library☆4,434Feb 24, 2025Updated last year
- 主流推荐系统Rank算法的实现☆292Oct 25, 2023Updated 2 years ago
- Factorization Machine models in PyTorch☆1,078Apr 8, 2024Updated 2 years ago
- Recommendation Algorithm大规模推荐算法库,包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM,DSIN,SIGN,IPREC、GRU4Rec、Yout…☆4,066Apr 2, 2025Updated last year
- A framework for large scale recommendation algorithms.☆2,327Apr 15, 2026Updated last month
- Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ran…☆2,499Apr 25, 2026Updated last month
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- 推荐系统---实验+复现+创新☆49May 17, 2023Updated 3 years ago
- ☆4,067Feb 7, 2024Updated 2 years ago
- A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can…☆2,424Apr 18, 2026Updated last month
- 【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☆1,823Dec 24, 2022Updated 3 years ago
- RSTutorials: A Curated List of Must-read Papers on Recommender System.☆6,495Mar 12, 2026Updated 2 months ago
- A Toolkit for Neural Review-based Recommendation models with Pytorch.☆175Feb 21, 2022Updated 4 years ago
- A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)☆734Mar 25, 2023Updated 3 years ago
- 推荐系统综述☆542Mar 30, 2023Updated 3 years ago
- Implementation of DSSM for recommendation by PyTorch (Including SENet and random negative sampling)☆96Jul 11, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- 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…☆260May 26, 2023Updated 2 years ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆391Nov 8, 2024Updated last year
- The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems☆433Sep 2, 2025Updated 8 months ago
- 使用BERT预训练语言模型获取评论文本的向量表示,通过Bi-GRU网络学习其中的语义特征,分别采用情感权重和注意力机制来为评论向量分配权重,动态调节其对用户特征和产品特征的影响程度,并以加权求和的方式获得用户特征和产品特征,最后利用DeepFM算法对用户特征和产品特征进行深…☆16Mar 28, 2023Updated 3 years ago
- 搜索、推荐、广告、用增等工业界实践文章收集(来源:知乎、Datafuntalk、技术公众号)☆4,447May 19, 2026Updated last week
- CTR模型代码和学习笔记总结☆397Aug 28, 2021Updated 4 years ago
- 基于movieLen1M数据集的DSSM深度召回实验☆23Feb 6, 2021Updated 5 years ago