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The new Windows Terminal and the original Windows console host, all in the same place!
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Windows Calculator: A simple yet powerful calculator that ships with Windows
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
中文的C++ Template的教学指南。与知名书籍C++ Templates不同，该系列教程将C++ Templates作为一门图灵完备的语言来讲授，以求帮助读者对Meta-Programming融会贯通。(正在施工中)
Implementation of popular deep learning networks with TensorRT network definition API
一个收集C/C++新手学习的入门项目，整理收纳开发者开源的小项目、工具、框架、游戏等，视频，书籍，面试题/算法题，技术文章。
A Robust and Versatile Monocular Visual-Inertial State Estimator
The Kalibr visual-inertial calibration toolbox
C++高性能分布式服务器框架,webserver,websocket server,自定义tcp_server（包含日志模块，配置模块，线程模块，协程模块，协程调度模块，io协程调度模块，hook模块，socket模块，bytearray序列化，http模块，TcpServer模块，Websocket模块，Https模块等, Smtp邮件模块, MySQL, SQLite3, ORM,Red…
An optimization-based multi-sensor state estimator
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
ROS 2 Navigation Framework and System
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
Network utility for sending / receiving TCP, UDP, SSL, HTTP
ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.
A tiny KV storage based on skiplist written in C++ language| 使用C++开发，基于跳表实现的轻量级键值数据库🔥🔥 🚀
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.
A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).
Monocular Visual-Inertial State Estimator on Mobile Phones
SGM，立体匹配StereoMatching最经典应用最广泛算法，4000+引用，兼顾效率和效果。完整实现，代码规范，注释清晰，博客教学，欢迎star！