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eric simon's Projects

arxausality icon arxausality

A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.

awesome-deep-learning-papers-for-search-recommendation-advertising icon awesome-deep-learning-papers-for-search-recommendation-advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

beehive icon beehive

:honeybee: BeeHive is a solution for iOS Application module programs, it absorbed the Spring Framework API service concept to avoid to coupling between modules.

benchm-ml icon benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

canal icon canal

阿里巴巴mysql数据库binlog的增量订阅&消费组件

cart icon cart

Classification and Regression Trees with Random Forest implemented in Python

causalml icon causalml

Uplift modeling and causal inference with machine learning algorithms

deploy icon deploy

Minimalistic deployment shell script

dhan icon dhan

DHAN code for SIGIR 2020

drr icon drr

code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"

h2o-meetups icon h2o-meetups

Presentations from H2O meetups & conferences by the H2O.ai team

hexo icon hexo

A fast, simple & powerful blog framework, powered by Node.js.

jlbfgs icon jlbfgs

Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) in Java

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