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Useful GitHub projects

2,637 projects

awesome-embedded

Luyi365

227stars

嵌入式开源库速查表，快速定位所需功能。300+ libraries for embedded dev, modularly organized, covering the common ground.

LearningCC0-1.0GitHub

awesome-privilege-escalation

m0nad

1,631stars

A curated list of awesome privilege escalation

  • An Interesting Privilege Escalation vector (getcap/setcap)
  • Exploiting capabilities: Parcel root power, the dark side of capabilities
LearningGitHub

algorithm-php

m9rco

1,376stars

Algorithms and data structures implemented in PHP: sorting, searching, graphs, recursion and dynamic programming, with Chinese and English learning notes. PHP 算法与数据结构学习合集。

LearningPHPMITGitHub

MAC-VO

MAC-VO

951stars
MAC-VO preview

[ICRA 2025 Best Paper] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry

LearningPythonMITGitHub

OneSync

madeyouclickstudio

31stars

Lightweight, free, MIT-licensed Windows drive-letter sync for OneDrive and SharePoint. Built for schools and small orgs who want file-server-style UX without licensing the commercial alternatives or fighting the OneDrive sync client. Folder redirection on by default; opt out in the per-user config.

LearningC#MITGitHub

starred

maguowei

1,965stars
starred preview

Create and maintain your own Awesome-style list from GitHub stars!

  • Generate a Markdown list from your starred repositories.
  • Group results by language (default) or repository topics.
LearningPythonMITGitHub

dot

makccr

639stars
dot preview

A repository to contain any and all of my personal application configuration files.

LearningCGitHub

mini_pupper

mangdangroboticsclub

1,200stars
mini_pupper preview

Open-source physical AI platform bridging ROS and RL — from learning to earning.

  • Close the Sim2Real Gap: Train complex neural network policies flawlessly in high-fidelity simulation, and deploy straight to the real physical robot. - Adapt to Diverse Terrains: Powered by proprietary 3-DoF coreless actuators, Mini Pupper 4 effortlessly climbs stairs and clear complex obstacles.
  • Native BAM Integration: Fully compatible with Better Actuator Models (BAM) to capture precise joint friction physics, letting you focus on your advanced applications. - Advanced ROS 2 Stack: Out-of-the-box templates featuring ROS 2 Jazzy and micro-ROS for SLAM, Nav2 path planning, and rapid development.
LearningApache-2.0GitHub