Elaine-DWL's Stars
afatcoder/LeetcodeTop
汇总各大互联网公司容易考察的高频leetcode题🔥
d2l-ai/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
tangxyw/RecSysPapers
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
ssnhd/googlevoice
注册 Google Voice 号码详细步骤
daizuozhuo/batch-dropblock-network
Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)
huiyadanli/RevokeMsgPatcher
:trollface: A hex editor for WeChat/QQ/TIM - PC版微信/QQ/TIM防撤回补丁(我已经看到了,撤回也没用了)
liangzid/AutoMonitoringSystem
This is an intelligent monitoring system based on our pedestrian recognition algorithm.这是使用大创行人重识别算法开发的实用系统。
Kestrong/capture_reid
可基于摄像头实时监控或录制的视频或静态图片进行行人检测(lffd)/跟踪(deep sort)和行人重识别(reid)。
0voice/from_coder_to_expert
2021年最新总结,从程序员到CTO,从专业走向卓越,分享大牛企业内部pdf与PPT
lcxanhui/IFLY-AI-chusai
科大讯飞AI营销算法大赛
Michaelhuazhang/-AI21-
科大讯飞智慧营销Top21方案
liulin7576/DL_CTR
基于科大讯飞AI营销算法比赛实现CTR深度学习方法
chengstone/kaggle_criteo_ctr_challenge-
This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。
infturing/kdxf
科大讯飞 top2solution
BladeCoda/Tencent2017_Final_Coda_Allegro
腾讯2017社交广告源码(决赛排名第23位)
dayeren/Kaggle_Competition_Treasure
Describe past Kaggle solutions
tmikolov/word2vec
Automatically exported from code.google.com/p/word2vec
zouxiaohang/TinySTL
TinySTL is a subset of STL(cut some containers and algorithms) and also a superset of STL(add some other containers and algorithms)
siqi13579/ctr_Keras
LR, Wide&Deep, DCN, NFM, DeepFM, NFFM
xiaozhouwang/kaggle-porto-seguro
2nd Place Solution for Kaggle Porto Seguro's Safe Driver Prediction
ChenglongChen/tensorflow-DeepFM
Tensorflow implementation of DeepFM for CTR prediction.
LancelotHolmes/JData
a solution for 2017 JData competition,rank A: 139/4240,B: 97/4240
hecongqing/2017-jdata-competition
高潜用户购买意向预测-rank12
JustFollowUs/Machine-Learning
JanzYe/KDD_CUP_2012_Track2
Predict the CTR through all data(about 150 million), the auc of test set(about 20 million) is 0.7874.
h2pl/leetcode
参考@CyC2018的leetcode题解。Java工程师LeetCode刷题必备。主要根据LeetCode的tag进行模块划分,每部分都选取了比较经典的题目,题目以medium和easy为主,少量hard题目。
chenxijun1029/DeepFM_with_PyTorch
A PyTorch implementation of DeepFM for CTR prediction problem.
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
ChenglongChen/tensorflow-XNN
4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.