Liao Yonglin's starred repositories
Qwen2.5-Coder
Qwen2.5-Coder is the code version of Qwen2.5, the large language model series developed by Qwen team, Alibaba Cloud.
ebpf_exporter
a pure-Go Prometheus exporter for the eBPF Linux subsystem
system-design-interview
系统设计面试必读（awesome system design）
awesome-prompts
Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.
mall-learning
mall学习教程，架构、业务、技术要点全方位解析。mall项目（60k+star）是一套电商系统，使用现阶段主流技术实现。涵盖了SpringBoot、MyBatis、Elasticsearch、RabbitMQ、Redis、MongoDB、MySQL等技术，采用Docker容器化部署。
cs-self-learning
计算机自学指南
how-to-run-Q-and-A
立党润学笔记问答
How-to-run
立党零基础转码笔记
3-weeks-Google-Prep
Here's how to use it:
Statistical-Learning-Methods
Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现
MalwareViT
Training Vision Transformers from Scratch for Malware Classification
2021-Malware-Detection-Classification
Malware detection is an important process in modern computing to help protect various systems from getting infected. The goal for any project, program, or system that aims to detect malware is to prevent any malicious software from running on a user’s computer. With our project, we have aimed to assist in the battle against malicious software by creating a model that can detect and label different types of programs as either malware or benign software. For this project, we used a Deep Neural Network (DNN) model. archi The architecture of our model, shown above, consists of a dense layer with relu activation, a batch normalization layer, and finally a dropout layer. As shown in the diagram, we use 10 of these layers. This project takes inspiration from the paper “Malware Analysis with Artificial Intelligence and a Particular Attention on Results Interpretability” created by Benjamin Marais, Tony Quertier, and Christophe Chesneau.
mlcs_project
Malware Classification Project-- Mircrosoft Malware Classification Challenge (Big 2015)
malware_classify
Malware Classification Project
Malware-Family-Classification
Malware Family Classification Using Image Features
MalwareTrainingSets
Free Malware Training Datasets for Machine Learning