q996676479's Stars
benedekrozemberczki/CapsGNN
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
francistao/LearningNotes
Enjoy Learning.
leechen-1/Design-Pattern-in-java
doocs/advanced-java
😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲:涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识
GavinHacker/recsys_core
[推荐系统] Based on the scoring data set, the recommendation system is built with FM and LR as the core(基于评分数据集,构建以FM和LR为核心的推荐系统).
ljpzzz/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
CL0610/Java-concurrency
Java并发知识点总结
zslomo/2019-Autumn-recruitment-experience
2019届秋招面经集合
ityouknow/spring-cloud-examples
Spring Cloud 学习案例,服务发现、服务治理、链路追踪、服务监控等
wzhe06/SparkCTR
CTR prediction model based on spark(LR, GBDT, DNN)
mouna99/dien
alibaba/x-deeplearning
An industrial deep learning framework for high-dimension sparse data
mJackie/RecSys
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
wnzhang/rtb-papers
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
wzhe06/Ad-papers
Papers on Computational Advertising
jyfeather/ad-reading
跟踪计算广告涉及的召回排序模型、特征工程相关的经典论文
JianGoForIt/YellowFin
auto-tuning momentum SGD optimizer
Snailclimb/JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
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。
John-Yao/Tencent_Social_Ads2018
2018腾讯社交广告33名;
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
princewen/tensorflow_practice
tensorflow实战练习,包括强化学习、推荐系统、nlp等
wzhe06/Reco-papers
Classic papers and resources on recommendation
ogerhsou/Youtube-Recommendation-Tensorflow
code of paper `Deep Neural Networks for Youtube Recommendation`
clxering/Effective-Java-3rd-edition-Chinese-English-bilingual
Effective Java(第3版)各章节的中英文学习参考(已完成)
graytowne/caser_pytorch
A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)
yangtong123/StudySpark
学习 Spark 的一个小项目,以及其中各种调优的笔记
hexiangnan/neural_collaborative_filtering
Neural Collaborative Filtering
hongleizhang/RSPapers
A Curated List of Must-read Papers on Recommender System.
karantyagi/Restaurant-Recommendations-with-Yelp
🍕Recommend new restaurants to Yelp users, using ratings predicted from reviews.