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advanced-java

😮 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务等领域知识，后端同学必看，前端同学也可学习

alarmclock

Simple alarm clock app implemented in Android Studio

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

attack-and-anomaly-detection-in-iot-sensors-in-iot-sites-using-machine-learning-approaches

Attack and Anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats and attacks in these infrastructures are also growing commensurately. Denial of Service, Data Type Probing, Malicious Control, Malicious Operation, Scan, Spying and Wrong Setup are such attacks and anomalies which can cause an IoT system failure. In this paper, performances of several machine learning models have been compared to predict attacks and anomalies on the IoT systems accurately. The machine learning (ML) algorithms that have been used here are Logistic Regression (LR), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), and Artificial Neural Network (ANN). The evaluation metrics used in the comparison of performance are accuracy, precision, recall, f1 score, and area under the Receiver Operating Characteristic Curve. The system obtained 99.4% test accuracy for Decision Tree, Random Forest, and ANN. Though these techniques have the same accuracy, other metrics prove that Random Forest performs comparatively better.

awesome-anomaly-detection

A complete list of papers on anomaly detection.

awesome-java-cn

Java资源大全中文版，包括开发库、开发工具、网站、博客、微信、微博等，由伯乐在线持续更新。

awesome-java-leetcode

:crown: LeetCode of algorithms with java solution(updating).

awesome-python-applications

💿 Free software that works great, and also happens to be open-source Python.

community

cs-notes

:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计

cyber-security

Anomaly Detection (Network Intrusion Detection) & Utilities

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

eladmin

项目基于 Spring Boot 2.1.0 、 Jpa、 Spring Security、redis、Vue的前后端分离的后台管理系统，项目采用分模块开发方式， 权限控制采用 RBAC，支持数据字典与数据权限管理，支持一键生成前后端代码，支持动态路由

feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

interviews

Everything you need to know to get the job.

java-7w-

javaguide

【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

leetcode

Complete solutions to Leetcode problems; updated daily. (I'm looking for long-term contributors/partners to this repo! Send me PRs if you're interested! - 9/5/2018)

leetcode-1

LeetCode Top 100 Liked Questions | Top Interview Questions | LeetCode 用户最喜欢的100题 | 面试最容易被问到的题

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

less-upset

for myself

libweb

libweb

lightweightautoencoderapproachforanomalydetection

Anomaly Detection

machine-learning-for-anomaly-detection

Thesis implementation

magenta-demos

Demonstrations of Magenta Models

mall

mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于SpringBoot+MyBatis实现。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。

mavendemo1

nowcoder-project

2019牛客网高级项目

practicalai

A practical approach to learning machine learning.

practice_abnormal_detect_ningbo

在宁波读研一期间和队员们一起做的一个异常检测系统