github repository of DSA challenges
The repository presents the notebooks used for my experimental thesis entitled: "Experimental Study of the Steel Market Through CNN-LSTM Deep Learning Models: Practical Applications for Cost Reduction in Industries"
This repository contains my solutions to various competitive programming problems in C++, from platforms such as LeetCode, CodeForces, HackerRank, etc. Each solution is accompanied by a brief explanation and the problem statement.
Light and self-contained implementation of C++17 parallel algorithms.
A repository to learn deep competitive coding algorithms along with DSA.
A C++ STL implementation in C.
The fourth assignment for AUT's Advanced Programming course (Spring 2024), designing a messaging system and mastering the Standard Template Library (STL). Enhance your skills in object-oriented programming with practical applications of classes, inheritance, and polymorphism, while leveraging STL for loop-free programming.
STL examples for competitive programming.
C++ online course. Modules about STL. Containers, algorithms, iterators, functors, lambdas.
This repository contains various codes which depict the C++ STL Functions which I've made while learning C++ Standard Library from unstop.com
Repository contains C Programs, C++ Programs from difficulty level beginning to advanced. It also contains Modern C++ version 11, 14 and 17 programs.
A basic implementation of std::forward_list<T> from C++ STL in C
implemented advanced data structures such as hash tables for efficient data management. Applied algorithmic concepts like sorting and searching algorithms to optimize various operations within the banking system.
This repository contains laboratory assignments on C++ language related to the course "Object-Oriented Programming" taught at Saint Petersburg Polytechnic University. STL, MFC 🥸
An implementation of HIP that works on CPUs, across OSes.
42 school C++ module on templates, STL containers and algorithms
Data structures and algorithms course project
The Go code snippet calculates volume, weight, and density of 3D models from STL files, supporting both ASCII and binary formats. It features `STLCalc` for file analysis, incorporating methods for reading, volume computation, and density adjustment, useful in 3D printing and CAD applications.
Blockchain implementation: Mining (POW), Serialization, Transactions and sign them, Merkle Tree
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