An open, technical and introductory book for the Zig programming language 📚📖
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An open, technical and introductory book for the Zig programming language 📚📖
Learn the basics of robotics through hands-on experience using ROS 2 and Gazebo simulation.
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A curated list of resources for Learning with Noisy Labels
List of 300 VueJS Interview Questions And Answers
Build a healthcare platform that streamlines patient registration, appointment scheduling, and medical records, and learn to implement complex forms and SMS notifications.
背包问题九讲
🐱给小白的Shadowsocks翻墙教程-Easy-to-follow tutorials for beginners on using Shadowsocks to bypass internet restrictions.
🔥🔥🔥本项目包括各种基本控件使用(Text、TextField、Icon、Image、Listview、Gridview、Picker、Stepper、Dialog、Slider、Row、Appbar、Sizebox、BottomSheet、Chip、Dismissible、FlutterLogo、Check、Switch、TabBar、BottomNavigationBar、Sliver等)、豆瓣电影、tubitv、每日一文、和天气、百姓生活、随机诗词、联系人、句子迷、好奇心日报、有道精品课、高德定位、音乐播放器🎵、追书神器等板块
Source code of a multiple series of tutorials about the hypervisor. Available at: https://rayanfam.com/tutorials
leetcode 顺序刷题,详细通俗题解,with JAVA
Java web common vulnerabilities and security code which is base on springboot and spring security
基于Dify自主创建的AI应用DSL工作流,你可以免费获取,无论是出于个人需求还是学习目的,它都能为您开启一段充满无限可能的智能之旅。
A non-exhaustive collection of third-party clients and mods for Discord.
:blue_book: 电子书 -《Real-Time Rendering 3rd》提炼总结 | 全书共9万7千余字。你可以把它看做中文通俗版的《Real-Time Rendering 3rd》,也可以把它看做《Real-Time Rendering 3rd》的解读版与配套学习伴侣,或者《Real-Time Rendering 4th》的前置阅读材料。
A list of remote-friendly or full-remote companies that targets Italian talents.
📖 Source Code Website/Ebook Dasar Pemrograman Golang
demos to help understand plugin framwork
Node.js example app from the OpenAI API quickstart tutorial
Blue topaz themes example vault for Obsidian
《Go Web 基础》是一套针对 Google 出品的 Go 语言的视频语音教程,主要面向完成《Go 编程基础》教程后希望进一步了解有关 Go Web 开发的学习者。
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our paper "Deep Learning to Rank in Industrial Search Engines, Recommender Systems, and Online Advertising - An Overview and New Perspectives" (TOIS 2026).
后端开发面试题,翻译自 https://github.com/arialdomartini/Back-End-Developer-Interview-Questions