alibaba / TorchEasyRecLinks
An easy-to-use framework for large scale recommendation algorithms.
☆161Updated 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☆369Updated 7 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…☆130Updated 2 weeks ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆316Updated 2 years ago
- ☆248Updated 9 months ago
- 主流推荐系统Rank算法的实现☆249Updated last year
- 《互联网大厂推荐算法实战》资料库☆286Updated 2 years ago
- [Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"☆278Updated 2 months ago
- A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.☆527Updated this week
- Paper List of Pre-trained Foundation Recommender Models☆351Updated 9 months ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆375Updated 6 months 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
- LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EG…☆250Updated 3 years ago
- A toy large model for recommender system based on LLaMA2/SASRec/Meta's generative recommenders. Besides, note and experiments of official…☆57Updated last year
- A flexible, high-performance framework for large-scale retrieval problems based on TensorFlow.☆163Updated 4 months ago
- Large batch training of CTR models based on DeepCTR with CowClip.☆169Updated 2 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
- Deep Interest Network for Click-Through Rate Prediction / Deep Interest Evolution Network for Click-Through Rate Prediction☆80Updated 4 years ago
- CTR模型代码和学习笔记总结☆388Updated 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。☆74Updated 3 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…☆209Updated 2 years ago
- Implementation of DSSM for recommendation by PyTorch (Including SENet and random negative sampling)☆82Updated 2 years ago
- A curated collection of recommendation datasets with trackable dataset IDs☆58Updated 3 months ago
- Offers a toolset for comprehensive, multi-faceted large-scale data analysis and optimizations☆56Updated 4 months ago
- A highly-modularized and recommendation-efficient recommendation library based on PyTorch.☆189Updated 3 months ago
- A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io☆1,169Updated 2 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.)☆162Updated last year
- A curated list of resources on cold-start recommendations.☆170Updated 2 months ago
- Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (…☆1,093Updated this week
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆112Updated last year
- A Lighting Pytorch Framework for Recommendation System, Easy-to-use and Easy-to-extend.☆82Updated 2 years ago