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Apprentissage · GitHub

Explorez des ressources sélectionnées, tutoriels et parcours d’apprentissage.

Projets GitHub utiles

2,637 projets
739étoiles

A math problem generator, created for the purpose of giving self-studying students and teaching organizations the means to easily get access to high-quality, generated math problems to suit their needs.

1,631étoiles

A curated list of awesome privilege escalation

  • An Interesting Privilege Escalation vector (getcap/setcap)
  • Exploiting capabilities: Parcel root power, the dark side of capabilities
1,376étoiles

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。

MAC-VO

MAC-VO

951étoiles
MAC-VO preview

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

OneSync

madeyouclickstudio

31étoiles

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.

starred

maguowei

1,965étoiles
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.

dot

makccr

639étoiles
dot preview

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

mini_pupper

mangdangroboticsclub

1,200étoiles
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.