e-hu
My interests focus on AdTech / Computational Advertising, Machine Learning, Data Mining, Recommender System.
Tokyo, Japan
e-hu's Stars
EbookFoundation/free-programming-books
:books: Freely available programming books
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
exacity/deeplearningbook-chinese
Deep Learning Book Chinese Translation
fingerprintjs/fingerprintjs
The most advanced browser fingerprinting library.
redmine/redmine
Mirror of redmine code source - Official Subversion repository is at https://svn.redmine.org/redmine - contact: @vividtone or maeda (at) farend (dot) jp
wzhe06/Ad-papers
Papers on Computational Advertising
wnzhang/rtb-papers
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
xiaohu2015/DeepLearning_tutorials
The deeplearning algorithms implemented by tensorflow
wzhe06/SparkCTR
CTR prediction model based on spark(LR, GBDT, DNN)
solarlee/Awesome-People-in-Computer-Vision
cloudml/zen
Zen aims to provide the largest scale and the most efficient machine learning platform on top of Spark, including but not limited to logistic regression, latent dirichilet allocation, factorization machines and DNN.
beechung/Latent-Factor-Models
R functions for fitting latent factor models with internal computation in C/C++
kazeburo/HRForecast
e-hu/SQL-Recommendation-System
Easy to implement a Recommendation System using SQL