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Translation of C++ Core Guidelines [https://github.com/isocpp/CppCoreGuidelines] into Simplified Chinese.
Fast and Lightweight Observability Data Collector
A lite and head-only CGraph-API-liked DAG project.
An open source, portable, easy to use, readable and flexible TLS library, and reference implementation of the PSA Cryptography API. Releases are on a varying cadence, typically around 3 - 6 months …
Work Stealing Queue, Job System, Thread Pool, Programming Parallel / Concurrent Applications
An Eigen-based, light-weight C++ Interface to Nonlinear Programming Solvers (Ipopt, Snopt)
A very fast cross-platform memory pool mechanism for C++ built using a data-oriented approach (3 to 24 times faster than regular new or delete, depending on operating system & compiler)
Library providing helpers for the Linux kernel io_uring support
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
📝A simple and elegant markdown editor, available for Linux, macOS and Windows.
Event-driven network library for multi-threaded Linux server in C++11
《Effective Modern C++》- 完成翻译
free C++ class library of cryptographic schemes
robust visual-inertial odometry, separated from openxrlab-xrslam
`std::execution`, the proposed C++ framework for asynchronous and parallel programming.
这是一个基于CUDA加速的SGM立体匹配代码，它的核心是SemiglobalMatching（SGM）算法，它不仅在时间效率上要远远优于基于CPU的常规SGM，而且明显占用更少的内存，这意味着它不仅可以在较低分辨率（百万级）图像上达到实时的帧率，且完全具备处理千万级甚至更高量级图像的能力。
Python binding and COLMAP/OpenMVS interface for point-line slam
Code for "Detector-Free Structure from Motion", CVPR 2024
A library that converts equirectangular panorama image to perspective view
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
A library for enabling task-based multi-threading. It allows execution of task graphs with arbitrary dependencies.
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs,…