Repository Index

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

• cpp
• algorithm
• algorithms-implemented
• data-structures

World's largest Contributor driven code dataset | Used in Quark Search Engine, @OpenGenus IQ, OpenGenus Visual Project

• opengenus
• algorithm
• datastructures
• library

Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)

• algorithms
• translation
• algorithm-competitions
• algorithms-and-data-structures

180+ Algorithm & Data Structure Problems using C++

• algorithm
• c
• cpp
• interview-questions

Algorithms & Data structures in C++.

Embedded Template Library

• c-plus-plus
• embedded-applications
• cpp
• templates

The repository contains the ENGLISH description files attached to the video series in my ARABIC algorithms channel.

• algorithm
• acm-icpc
• competitive-programming
• arabic

C++ template library for high performance SIMD based sorting algorithms

• argsort
• avx2
• avx512
• quickselect

C++ Implementation of Algorithms (aka. Spaghetti Source)

Header-Only C++ Library for Graph Representation and Algorithms

• search-algorithm
• dijkstra-algorithm
• graph
• graph-algorithms

Sorting algorithms & related tools for C++

• cpp
• sorting
• algorithm

A general-purpose lightweight C++ graph library

• graph
• bfs
• dfs
• graph-algorigthms

Unicode Algorithms Implementation for C/C++

• unicode
• utf-16
• utf-8
• utf16

Various open addressing hashmap algorithms in C++

Multi primitive-to-primitive (MP2P) ICP algorithms in C++

• slam
• icp
• point-clouds
• registration

Cheat sheet for ACM-ICPC. In memory of those good old days.

• acm-icpc-handbook
• algorithms
• acm-icpc

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.

• svm
• regression
• classification
• machine-learning