TheoViel / kaggle_otto_rsLinks
3rd Place Solution for the OTTO – Multi-Objective Recommender System Competition
☆157Updated 2 years ago
Alternatives and similar repositories for kaggle_otto_rs
Users that are interested in kaggle_otto_rs are comparing it to the libraries listed below
Sorting:
- ☆110Updated 2 years ago
- I share my solution for the Otto Competition, scoring LB 0.601, using Reranker, Transformers and GRU☆34Updated 2 years ago
- kaggle Otto Recommender system code, single model LB0.596, about rank 22☆35Updated 2 years ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆340Updated 3 years ago
- ☆112Updated 4 years ago
- kaggle:otto competition☆24Updated 2 years ago
- 零基础入门推荐系统 - 新闻推荐 Top2☆360Updated 4 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…☆253Updated 2 years ago
- A Lighting Pytorch Framework for Recommendation Models (PyTorch推荐算法框架), Easy-to-use and Easy-to-extend. https://datawhalechina.github.io/…☆700Updated this week
- 基于 Pytorch 实现推荐系统相关的算法☆189Updated 4 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)☆273Updated 8 months ago
- 🥈 Silver Medal Solution to Kaggle H&M Personalized Fashion Recommendations☆78Updated 3 years ago
- Implementation of DSSM for recommendation by PyTorch (Including SENet and random negative sampling)☆94Updated 3 years ago
- ☆285Updated last year
- 深度学习与推荐系统学习,理论结合代码更香。☆157Updated 3 years ago
- 基于王喆老师的深度学习推荐系统书籍,主要用pytorch实现了里面涉及到的算法,有很少数量的算法是用tf2.0实现的。在这个过 程中也参考很多大佬的复现代码,希望自己能持续学习 多多去实现。☆51Updated 3 years ago
- GRID: Generative Recommendation with Semantic IDs☆539Updated 3 months ago
- 用pytorch 方法复现了二十多个经典的推荐算法论文,其中包含排序论文和推荐召回论文,并在demo里面选了一个召回模型和排序模型的运行示例。☆84Updated 2 years ago
- 天池大赛——新闻推荐场景下的用户行为预测挑战赛,SOLO赛,B榜排名5/5338☆67Updated 4 years ago
- kaggle比赛—otto多目标推荐系统源代码,单模型分数0.594,LB排名30左右☆78Updated 2 years ago
- 《互联网大厂推荐算法实战》资料库☆315Updated 2 years ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆387Updated last year
- PyTorch(1.6+) implementation of https://github.com/kang205/SASRec☆543Updated 3 months ago
- Solution to kaggle competition OTTO – Multi-Objective Recommender System: https://www.kaggle.com/competitions/otto-recommender-system☆22Updated 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☆673Updated 3 years ago
- [Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"☆696Updated 4 months ago
- A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io☆1,348Updated 7 months ago
- 优质的推荐算法资源汇总☆175Updated 4 years ago
- 主流推荐系统Rank算法的实现☆280Updated 2 years ago
- all kinds of recommendation algorithms implement.☆128Updated 5 years ago