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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.

cc-attack

Using Socks4/5 or http proxies to make a multithreading Http-flood/Https-flood (cc) attack.

csu_network_security_experiment_reform

CSU_Network_Security_Experiment_reform(sql)

fedpergnn

code of FedGNN

httpguard

prevent cc attack

nbsps

me.

nbsps.github.io

recommender-system

推荐系统综述

recommender-system-with-tf2.0

Recurrence the recommender paper with Tensorflow2.0

rs-models

🛴 PyTorch Implementation of classic Recommender System Models.

rs_ca_papers

📖 Classic Recommender System & Computational Advertising Papers.

silvensnrecsys

Primary Recommender System: online[matching|ranking...](Flask|Vue) - nearline[model serving|real-time service](Flink|tensorflow serving|redis) - offline[feature engine|model training](Spark|Hdfs(Hbase)|tf)

upload-middleware-for-oak-deno-framework

This middleware automatically organizes uploads to avoid file system problems and create dirs if not exists, perform validations and optimizes ram usage when uploading big files using Deno standard libraries!

vue3-naiveui-deno-blog-system

🔥献给樱岛麻衣的 基于 Vue3(setup)+Naiveui+Vue-router+Vuex+Less+Deno+Oak+Mysql+Typescript 前后端分离的个人博客系统 支持markdown语法 docker一站式部署

web_experiment

web_experiment: Imitation of csu information portal home page.