alibaba / TorchEasyRecLinks
An easy-to-use framework for large scale recommendation algorithms.
☆207Updated this week
Alternatives and similar repositories for TorchEasyRec
Users that are interested in TorchEasyRec are comparing it to the libraries listed below
Sorting:
- HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling☆460Updated 10 months 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…☆170Updated 2 weeks ago
- A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.☆558Updated this week
- 《互联网大厂推荐算法实战》资料库☆294Updated 2 years ago
- A flexible, high-performance framework for large-scale retrieval problems based on TensorFlow.☆165Updated 7 months ago
- A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io☆1,242Updated 2 months ago
- 主流推荐系统Rank算法的实现☆259Updated last year
- DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foun…☆1,121Updated 7 months ago
- Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (…☆1,353Updated this week
- GRID: Generative Recommendation with Semantic IDs☆221Updated 2 weeks ago
- Large batch training of CTR models based on DeepCTR with CowClip.☆170Updated 2 years ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆377Updated 9 months ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆325Updated 2 years ago
- A framework for large scale recommendation algorithms.☆2,105Updated 2 months ago
- A Lighting Pytorch Framework for Recommendation System, Easy-to-use and Easy-to-extend.☆82Updated 3 years ago
- TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset☆204Updated 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☆311Updated last year
- CTR模型代码和学习笔记总结☆393Updated 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）☆267Updated 3 months 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.)☆167Updated 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☆638Updated 3 years ago
- Implementation of DSSM for recommendation by PyTorch (Including SENet and random negative sampling)☆85Updated 3 years ago
- Paper List of Pre-trained Foundation Recommender Models☆362Updated last year
- [Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"☆472Updated last month
- a TensorFlow-based distributed training framework optimized for large-scale sparse data.☆329Updated last month
- Deep Interest Network for Click-Through Rate Prediction / Deep Interest Evolution Network for Click-Through Rate Prediction☆80Updated 5 years ago
- ☆256Updated 11 months 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…☆230Updated 2 years ago
- ☆1,183Updated 6 years ago
- I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. …☆52Updated last year