通过issue和README来记录日常学习研究笔记关注机器学习系统，深度学习， LLVM，性能剖视， Linux操作系统内核话题关注 C/C++. JAVA. Python. Golang. Chisel. 编程语言话题 ( Writing Blogs using github issue and markdown! (inculding Machine Learning algs and system, LLVM, Linux kernel, java, python, c++, golang)

meton-robean Last update: Apr 04, 2024

ResearcNote

Writing Blogs using github issue and markdown! (inculding Machine Learning algs and system, LLVM, program profiling, Linux kernel, java, python, c++, golang)

通过issue和README来记录日常学习研究笔记，知识点转载摘录等等

关注机器学习系统，深度学习， LLVM，性能剖视， Linux操作系统内核话题关注 C/C++. JAVA. Python. Golang. Chisel. 编程语言话题

查看内容请前往issues板块，查看不同内容可以使用issues的标签过滤器.

另外一个repo用于记录paper阅读摘要或者思考： https://github.com/meton-robean/PaperNotes/issues

Tags:

blogs

computer

computer-architecture

Owner

meton-robean

GitHub Repository https://github.com/meton-robean

Programmed the SDN controller to monitor the traffic, predict the traffic behaviour and detect DDOS traffic in the cloud network and mitigate it. Machine learning SVM algorithm was used to predict the malicious traffic in the network, achieved an accuracy of 98% and detection rate of 100%. Technologies Used are, SDN, ML SVM, Openflow, Ryu controller, Python, Mininet, iperf, hping3, linux commands.

Stress classifier with AutoML

This repository presents an automated machine learning approach in Python to create a stress monitoring system with data from devices such as fitness trackers. With the rising popularity of trackers …

Solutions to the 'Applied Machine Learning In Python' Coursera course exercises

PyDeep is a machine learning / deep learning library with focus on unsupervised learning. The library has a modular design, is well documented and purely written in Python/Numpy. This allows you to understand, use, modify, and debug the code easily. Furthermore, its extensive use of unittests assures a high level of reliability and correctness.

Welcome ################################## PyDeep is a machine learning / deep learning library with focus on unsupervised learning. The library has a modular design, is well documented and purely wr…

A 50-Day Guide to Becoming a Data Scientist with Python, SQL, and Machine Learning

Welcome to the Data Science course! Over the next 50 days, you will learn a wide range of topics related to Python programming, data science, and machine learning. These topics will be covered in a v…

splearn: package for signal processing and machine learning with Python. Contains tutorials on understanding and applying signal processing.

This repository contains tutorials on understanding and applying signal processing using NumPy and PyTorch. In order to begin the signal processing adventure, we need to understand what we are dealin…

{Python}: Detect and extract the license plate of vehicles using Machine Learning and Image Processing Techniques

This project aims to utilize Machine Learning and Image Processing techniques to detect/extract license plates of vehicle given an image. This module is aimed to extract features from a license plate…

Python script to generate fake datasets optimized for testing machine learning/deep learning workflows

These datasets also work well when testing against AutoML approaches, as it has several traps just for that use case. The generated datasets have the following properties which test the limits of ML/…

Repo where I recreate some popular machine learning models from scratch in Python

This repository is for educational purposes. While the efficiency of the code or completeness is not as good as the one you could find in a library like sklearn, the simplification of the algorithm a…

Machine learning in Python for stock market and forex market predictions (fully functional)

OPEN-SOURCE PROJECT | Machine learning in Python and MQL4 for stock market and forex market predictions and fully automated trading.