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Translated📚 This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
World's largest Contributor driven code dataset | Used in Quark Search Engine, @OpenGenus IQ, OpenGenus Visual Project
Achieve a tiny STL in C++11
Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)
180+ Algorithm & Data Structure Problems using C++
Algorithms & Data structures in C++.
KTH Algorithm Competition Template Library (... eller KTHs AC-tillverkande lapp)
Embedded Template Library
The repository contains the ENGLISH description files attached to the video series in my ARABIC algorithms channel.
C++ template library for high performance SIMD based sorting algorithms
C++ Implementation of Algorithms (aka. Spaghetti Source)
Header-Only C++ Library for Graph Representation and Algorithms
Sorting algorithms & related tools for C++
A general-purpose lightweight C++ graph library
Unicode Algorithms Implementation for C/C++
A C++ implementation of timsort
Various open addressing hashmap algorithms in C++
Multi primitive-to-primitive (MP2P) ICP algorithms in C++
C++ Bitmap Library https://www.partow.net/programming/bitmap/index.html
Cheat sheet for ACM-ICPC. In memory of those good old days.
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.