R.G.
rg4sun
Stay Focus, Keep Forward！
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Implementation and Performance Analysis of LSB Steganography Algorithm. The test shows that it has excellent imperceptibility (PSNR value all above 50), and the visual observation of the embedded graph is no different from the original graph. In the case of no attack, the error rate of watermark extraction is 0%, indicating an excellent extraction effect.
Fast Realization of HMAC based on SM3 Algorithm. Written in pure C and run in Linux environment, the HMAC calculation is basically maintained at the level of milliseconds, and the calculation rate is maintained at around 72MBps. The calculation delay can be ignored for processing messages below 10MB, and the calculation rate is the best for hundred KB level messages.
Implementation and Performance Analysis of DCT Steganography Algorithm. Tests found that it has excellent imperceptibility (PSNR all above 40). When encountering noised images, the error rate of watermark extraction is low, indicating certain robustness. By introducing the scaling factor, the best embedding effect can be obtained for the specific carrier and watermark.
我自己整理的MS COCO数据集相关信息，入门教学
Product Reputation Prediction Based on Product Review Data(2020 MCM problem C solution paper, A Wealth of Data). SO-PMI Based Review Quantization Model, LDA Based Product Prediction Model and The Comprehensive Rating Model of Product Reputation are built to make a comprehensive assessment of the product and predict its sales potential.
Captcha Recognition Based on KNN. Implemented in Python to extract and recognize the digital text of captcha images.(This repo has not been cleaned up yet, may contain some redundant discarded files)
Repositories
54Self-study on Larry Wasserman's "All of Statistics"
IntelliJ IDEA 简体中文专题教程
Captcha Recognition Based on KNN. Implemented in Python to extract and recognize the digital text of captcha images.(This repo has not been cleaned up yet, may contain some redundant discarded files)
Fast Realization of HMAC based on SM3 Algorithm. Written in pure C and run in Linux environment, the HMAC calculation is basically maintained at the level of milliseconds, and the calculation rate is maintained at around 72MBps. The calculation delay can be ignored for processing messages below 10MB, and the calculation rate is the best for hundred KB level messages.
No description provided.
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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Implementation and Performance Analysis of DCT Steganography Algorithm. Tests found that it has excellent imperceptibility (PSNR all above 40). When encountering noised images, the error rate of watermark extraction is low, indicating certain robustness. By introducing the scaling factor, the best embedding effect can be obtained for the specific carrier and watermark.
A fast and efficient (QR) barcode scanner for Capacitor
:books: All programming languages books
Understanding Deep Learning - Simon J.D. Prince
All notes and materials for the CS229: Machine Learning course by Stanford University
A template plugin for obsidian
Implementation and Performance Analysis of LSB Steganography Algorithm. The test shows that it has excellent imperceptibility (PSNR value all above 50), and the visual observation of the embedded graph is no different from the original graph. In the case of no attack, the error rate of watermark extraction is 0%, indicating an excellent extraction effect.
No description provided.
Virtual whiteboard for sketching hand-drawn like diagrams
我自己整理的MS COCO数据集相关信息，入门教学
No description provided.
JobHunt is an interactive map-based job search platform that allows users to explore job opportunities with crime rates and housing prices in proximity. Developed using Quasar (Vue-based) with Mapbox for map-related functionalities, Firebase for cloud data, and Node.js + Express for the backend server.
The new website
Find a Service is a platform designed to assist UK customers in finding reliable service providers in their local area. Developed using React with AntD as the UI framework, Firebase serves as the cloud database, while Mapbox and Google Maps handle map-related modules. Node.js + Express serve as the simple backend.
No description provided.
Product Reputation Prediction Based on Product Review Data(2020 MCM problem C solution paper, A Wealth of Data). SO-PMI Based Review Quantization Model, LDA Based Product Prediction Model and The Comprehensive Rating Model of Product Reputation are built to make a comprehensive assessment of the product and predict its sales potential.
No description provided.
R.G.'s blog supported by github
No description provided.
Foodtopia(食托邦) App
No description provided.
Foodtopia(食托邦) 后台管理系统
A keygen for Navicat