easezyc / Multitask-Recommendation-Library
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
☆311Updated 2 years ago
Alternatives and similar repositories for Multitask-Recommendation-Library:
Users that are interested in Multitask-Recommendation-Library are comparing it to the libraries listed below
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆368Updated 4 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）☆250Updated 2 years ago
- A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io☆1,081Updated 2 months 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…☆246Updated 3 years ago
- 主流推荐系统Rank算法的实现☆231Updated last year
- A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.☆484Updated 2 weeks ago
- This repository collects debiasing methods for recommendation☆417Updated last year
- Implements of Awesome RecSystem Models with PyTorch/TF2.0☆257Updated 4 years ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆290Updated 3 years 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…☆187Updated last year
- ☆240Updated 6 months ago
- A PyTorch implementation of DeepFM for CTR prediction problem.☆385Updated 3 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☆595Updated 3 years ago
- CTR模型代码和学习笔记总结☆383Updated 3 years ago
- 《互联网大厂推荐算法实战》资料库☆265Updated last year
- multi task mode for esmm and mmoe☆138Updated 3 years ago
- Deep-Learning based CTR models implemented by PyTorch☆251Updated 4 years ago
- “Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.☆572Updated 2 weeks ago
- PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction☆74Updated 5 years ago
- I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. …☆49Updated last year
- An up-to-date, comprehensive and flexible recommendation library☆197Updated last year
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆109Updated last year
- Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.☆67Updated 7 months ago
- Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"☆438Updated last year
- Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"☆248Updated 4 years ago
- 推荐系统竞赛TOP开源解决方案汇总。☆251Updated 3 years ago
- Paper List of Pre-trained Foundation Recommender Models☆343Updated 7 months ago
- The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.☆134Updated 4 years ago
- Download and preprocess popular sequential recommendation datasets☆203Updated 2 years ago
- BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer☆642Updated 5 years ago