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Stars
A visualized debugging framework to aid in understanding the Linux kernel.
Asterinas is a secure, fast, and general-purpose OS kernel, written in Rust and providing Linux-compatible ABI.
新一代SKRoot，挑战全网root检测手段，跟面具完全不同思路，摆脱面具被检测的弱点，完美隐藏root功能，实现真正的SELinux 0%触碰，通用性强，通杀所有内核，不需要内核源码，直接patch内核，兼容安卓APP直接JNI调用，稳定、流畅、不闪退。
A free, open-source, robust yet user-friendly, compact and cross-platform tool for OpenPGP encryption. It stands out as an exceptional GUI frontend for the modern GnuPG (gpg).
uBlock Origin - An efficient blocker for Chromium and Firefox. Fast and lean.
Open Source Continuous File Synchronization
A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.
TidGi is an privacy-in-mind, automated, auto-git-backup, freely-deployed knowledge management Desktop note app, based on Tiddlywiki, with REST API for web-clipping and Anki connect. 「 太记 」是一个基于「 太微…
This project aims to enhance the working environment on Windows
A tool for batch upgrade MediaWiki extensions
GitHub mirror of the mediawiki/extensions repository. Development happens at https://gerrit.wikimedia.org. Please see https://www.mediawiki.org/wiki/Developer_account if you wish to contribute.
Code Runner for Visual Studio Code
面向配置的crud框架，开发crud 快如闪电，超级表格；Options-oriented crud framework, develop crud as fast as lightning；based on vue3；super table
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
🌍 针对小白的算法训练 | 包括四部分：①.大厂面经 ②.力扣图解 ③.千本开源电子书 ④.百张技术思维导图（项目花了上百小时，希望可以点 star 支持，🌹感谢~）推荐免费ChatGPT使用网站
A curated list of awesome things related to HarmonyOS. 华为鸿蒙操作系统。
🔥🔥🔥AidLearning is a powerful AIOT development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports CPU+GPU+NPU for inference with high…
Learn how to design, develop, deploy and iterate on production-grade ML applications.