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2d-object-detection

Object Detection Using YOLO and other classic algorithms

asynchronousprogramming

AsynchronousProgramming in C#

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

brain-tumor-classification-based-on-deep-learning

(RESNET101, DARKNET53, YOLOV1) Brain Tumor Classification and detection Based deep learning.

c-programming-language-project

My first C project.

cnnmrf-convolutional-neural-network-and-markov-random-fields

Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis

computational-geometry

convex-hull-algorithm

cpp-concepts

This repository covers a wide range of topics including Object-Oriented Programming (OOP), the Standard Template Library (STL), and smart pointers.. It contains practical examples, and best practices.

data-structures-and-algorithms

A crash course on data-structures and algorithms using C/C++ and Python.

deep-learning-embedded-systems

Implementation d'un algorithme de deep learning de reconnaissance de caractères sur un système embarqué.

deep-learning-topics

dijkstraalgorithm

This project implements Dijkstra's shortest path algorithm in C and C++ for finding the shortest paths from a source vertex to all other vertices in a weighted graph. The code includes functions to create and initialize a graph, add vertices with weights, and perform Dijkstra's algorithm to find the shortest paths.

discordbot

A discord bot to send private message when someone type !buy <product>

dl---nst-project

Data for style transfer project.

dll-injection-into-all-processes

This project demonstrates how to perform DLL (Dynamic Link Library) injection into all running processes on a Windows system. DLL injection is a technique used to run custom code within the address space of another process, allowing for various applications such as debugging, hooking, or even malicious activities.

dotnet-cs-cpp

employeemanagementsystem

This is an Employee Management System developed using the Windows Presentation Foundation (WPF) framework. It provides a user-friendly interface for managing employee data and performing various operations related to employee management.

gans

Generative adversarial networks from scratch

graphtheory

Graph Algorithms is a C++ project that implements fundamental graph algorithms like Breadth-First Search (BFS) and Depth-First Search (DFS). It focuses on clear implementations of graph representations such as Adjacency Matrix, with plans for Adjacency List and Edge List. This project serves as an educational tool for understanding graph theory.

hackerrankproblemsolving

This GitHub repository contains a collection of solutions to Hackerrank & LeetCode problems implemented in C++.

hotelmanagementsystem

HotelManagementSystem

image-processing-library-in-c

This repository contains a collection of C algorithms designed for advanced signal and image processing tasks, including filtering, rotating, cropping, denoising, and more.

image2image-translation-using-conditional-generative-adversarial-networks

Implementation of the research paper : "Image to image translation using Conditional Generative adversarial networks".

kerneldriverwithkdmapper

This repository provides a WDM kernel driver integrated with kdmapper for advanced driver loading and management. It offers example code and setup instructions for educational and research purposes.

labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

lite.ai.toolkit

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, YOLOv6, YOLOR, MODNet, YOLOX, YOLOv7, YOLOX. MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

machine-learning

This repo contains machine different learning algorithms.

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

machine-learning-unsupervised-classification

Implémentation des méthodes des centres mobiles ou K-moyennes, ainsi que la méthode de classification ascendante hiérarchique. Ces algorithmes seront appliqués dans un premier temps au clustering spatial de nuages de points 2D, puis à des descripteurs extraits d’imagettes d'épi de blé.