liuzhipeng99 Goto Github PK

189checkin

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actionable-warnings

android-open-project

A categorized collection of Android Open Source Projects, More powerful web version:

apache-skywalking-in-action

《Apache SkyWalking 实战》代码仓库

apihub

做一个提供API接口调用的平台，用户可以使用接口，并且每次调用会进行统计。管理员可以发布接口、下线接口、接入接口，以及可视化接口的调用情况、数据。

aw4c

AW4C: A dataset of actionable warnings

awesome-github-android-ui

安卓UI相关开源项目库汇总

awesome-github-wechat-weapp

微信小程序开源项目库汇总

awminer

这是一个tool Incremental analysis

bash-vim-hot-key

blog

Hexo Blog

clash-v2ray-shadowrocket-proxy-share

分享clash、v2ray等节点

clashdotnetframework

删库前保存的发布包

cqu-epos

CQU《操作系统原理》实验

cqu_drcom

重庆大学路由器drcom懒人脚本

drifting-books

As part of a course assignment, we developed a 'Drifting Library' app designed to facilitate the sharing of books among users.

freenom

Freenom 域名自动续期 Python 版本

gans-collected-tutorials

git_tasks

Gayhub第一个仓库

im

简单的仿QQ聊天安卓APP

intrusion-detection-system

I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.unb.ca/cic/datasets/ids-2017.html. By keeping Monday as the training set and rest of the csv files as testing set, I tried one class SVM and deep CNN model to check how it works. Here the Monday dataset contains only normal data and rest of the days contains both normal and attacked data. Also, from the same university (UNB) for the Tor and Non Tor dataset, I tried K-means clustering and Stacked LSTM models in order to check the classification of multiple labels.

iotbot

写来玩玩的iotbot

kamacoder-solutions

卡码网题解全集

liuzhipeng99

liuzhipeng99.github.io

Personal Blog

loglizer

A log analysis toolkit for automated anomaly detection [ISSRE'16]

lostandfound

微信小程序+云开发 构建的失物招领平台

myopenwrt

Github Actions工作流集，及配置文件

nodescatch

节点检查、测速和过滤工具

pics

这是一个图床仓库