Mosand

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

Mosand/AlarmClock

Simple alarm clock app implemented in Android Studio

Mosand/awesome-java-leetcode

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

Mosand/deep-learning-with-python-notebooks

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

Mosand/feature-engineering-and-feature-selection

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

Mosand/magenta-demos

Demonstrations of Magenta Models

Mosand/practicalAI

A practical approach to learning machine learning.

Mosand/Python-100-Days

Python - 100天从新手到大师

Mosand/tensorflow_template_application

TensorFlow template application for deep learning