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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++.
MiniOB is a compact database that assists developers in understanding the fundamental workings of a database.
KTH Algorithm Competition Template Library (... eller KTHs AC-tillverkande lapp)
The repository contains the ENGLISH description files attached to the video series in my ARABIC algorithms channel.
C++ implementation of a fast hash map and hash set using robin hood hashing
C++ implementation of a fast hash map and hash set using hopscotch hashing
C++ hash map and hash set which preserve the order of insertion
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
A fast and flexible c++ template class for tree data structures
Scribe-Android: Keyboards for language learners & Conjugate-Android: Wikidata based verb conjugation app
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.