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adversarial-recommender-systems-survey

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.

ai-competition-collections

收集整理各种人工智能比赛经验帖。【从他人比赛经验中，总是可以学到很多东西】

ai-for-security-learning

安全场景、基于AI的安全算法和安全数据分析业界实践

alldata

🔥🔥 BigData 💥 大数据 💥大数据AllData平台，通过二开大数据BigData生态组件，以及大数据BigData采集、大数据BigData存储、大数据BigData计算、大数据BigData开发来建设开源社区大数据BigData平台。联系作者: https://docs.qq.com/doc/DVFVMYUp6cFhSRVJs

awesome-privacy-preserving-rs-paper

This repository collects the latest research progress of Privacy-Preserving Recommender Systems after 2018.

competition-baseline

数据科学竞赛知识、代码、思路

data-poisoning-attacks-on-factorization-based-collaborative-filtering

Data poisoning attack of recommend system using the algorithm of MF.

data-science-competition

该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖：kaggle, 阿里天池，华为云大赛校园赛，百度aistudio，和鲸社区，datafountain等

datax-web

DataX集成可视化页面，选择数据源即可一键生成数据同步任务，支持RDBMS、Hive、HBase、ClickHouse、MongoDB等数据源，批量创建RDBMS数据同步任务，集成开源调度系统，支持分布式、增量同步数据、实时查看运行日志、监控执行器资源、KILL运行进程、数据源信息加密等。

deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

deeplog

Pytorch Implementation of DeepLog.

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

fedrecattack

Model Poisoning Attack to Federated Recommendation

flink-learning

flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去重、监控告警）分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》

flink-streaming-platform-web

基于flink的实时流计算web平台

fun-rec

本推荐算法教程主要是针对具有机器学习基础并想找推荐算法岗位的同学，教程由推荐算法基础、推荐算法入门赛、新闻推荐项目及推荐算法面经组成，形成了一个完整的从基础到实战再到面试的闭环。

gitideatest

在IDEA上测试Git的使用

god-of-bigdata

专注大数据学习面试，大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...

henu-admin

jiangsurace

第三届江苏大数据开发与应用大赛_时序预测

logadempirical

logbert

log anomaly detection via BERT

logtad

LogTAD: Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation

machine-learning

ML

movierecommendsystem

test

plelog

Implementation of PLELog in ICSE 2021 accepted paper:Semi-supervised Log-based Anomaly Detection via Probabilistic Label Estimation.

poisonfeddlrs

Poisoning Deep Learning based Recommender Model in Federated Learning Scenarios

rank4_nlp_textclassification

阿里云天池零基础入门NLP比赛_rank4选手比赛总结: https://tianchi.aliyun.com/competition/entrance/531810/introduction

reco-res

优质的推荐算法资源汇总

recommender-system-with-tf2.0

Recurrence the recommender paper with Tensorflow2.0