shiqs's starred repositories
DependencyWalker.Net
Show dependencies tree for .NET assemblies like old Depend Walker show it for non managed applications.
IntegratedSoftware
C#Halcon视觉软件,2020年05月修整期间编写的工业集成软件框架,目前不从事该行业,因此开放出来交流学习。软件已作删减,仅保留视觉部分,需自行添加Halcon的DLL方可正常运行软件。希望对大家有帮助。
generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
YOLO-World
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
aimoneyhunter
ai副业赚钱大集合,教你如何利用ai做一些副业项目,赚取更多额外收益。The Ultimate Guide to Making Money with AI Side Hustles: Learn how to leverage AI for some cool side gigs and rake in some extra cash. Check out the English version for more insights.
everyone-can-use-english
人人都能用英语
hello-algo
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing
teb_local_planner
An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)
pythonguis-examples
Demo desktop apps built with Python & Qt. With examples for PyQt6, PySide6, PyQt5 & PySide2
Steel_defect
Exercise: Use YOLO to detect hot-rolled steel strip surface defects (NEU-DET dataset).
NEU-DET-Steel-Surface-Defect-Detection
This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.
SerialPortForWindowsTerminal
Serial port for windows terminal, 让Windows Terminal支持串口的插件
stable-diffusion-webui
Stable Diffusion web UI
Surface-Defect-Detection
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
Chinese-LangChain
中文langchain项目|小必应,Q.Talk,强聊,QiangTalk
Chinese-LLaMA-Alpaca
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
LAVFilters
LAV Filters - Open-Source DirectShow Media Splitter and Decoders
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media