curiosity30's Stars
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
greyireland/algorithm-pattern
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
datawhalechina/fun-rec
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
shenweichen/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
datawhalechina/daily-interview
Datawhale成员整理的面经,内容包括机器学习,CV,NLP,推荐,开发等,欢迎大家star
shenweichen/DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
wangshusen/RecommenderSystem
ZiyaoGeng/RecLearn
Recommender Learning with Tensorflow2.x
zhongqiangwu960812/AI-RecommenderSystem
该仓库尝试整理推荐系统领域的一些经典算法模型
stasi009/TakeHomeDataChallenges
My solution to the book <A collection of Data Science Take-home Challenges>
Pysamlam/Tips-of-Feature-engineering
A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!
jc-LeeHub/Recommend-System-tf2.0
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!
huangjunheng/recommendation_model
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
reczoo/BARS
BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS
Prayforhanluo/CTR_Algorithm
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)
jxzly/Kaggle-American-Express-Default-Prediction-1st-solution
tangxyw/RecAlgorithm
主流推荐系统Rank算法的实现
cdeotte/Kaggle-OTTO-Comp
wj19971997/NEWS-RECOMMENDATION