Demonstration of different algorithms and operations on faces. Star the repo⭐
Offline AI music recommender & recogniser. Local song ID + smart playlists (CLAP + FAISS).
Semantic Graph Representation Learning for Handwritten Mathematical Expression Recognition (ICDAR 2023)
The C++ neural network for handwritten digit recognition with online demo
Live Human Activity recognition using Tensorflow transfer learning model, OpenCV and numpy with a custom Dataset by scraping the web.
It is an Integrated Solution that allows you to have thorough attendance review and eliminate duplicate data entry and errors in time and attendance entries. This application is user-friendly and flexible which helps you to track the attendance of the students effectively.
The Dual Biometric Recognition System is a cutting-edge security solution that combines the power of facial recognition and fingerprint analysis to provide robust, multi-modal biometric authentication.
This project was my final Bachelor's degree thesis. In it I decided to mix my passion, music, and the syllabus that I liked the most in my degree, deep learning.
A Python desktop application using OpenCV and Tkinter to capture student faces, train a recognition model, and mark attendance automatically in Excel/CSV format.
A modular, scalable, deep learning-based pipeline for classifying mammographic images using various pre-trained CNN architectures.
It's an app built in Flutter that allows you to recognize the kana (hiragana and katakana) drawn in the app.
Advanced algorithmic trading system for futures markets | Pattern recognition with 89.5% backtested win rate | Python, TopStepX API, Real-time WebSocket execution
This space contains the code developed for the image pattern recognition lecture
基于C++/OpenCV4，利用灯条发光与几何特征，实现装甲板识别，辅助RobotMaster比赛机器人瞄准
Object recognition on Fashion MNIST via random binary data lookup using a Higher-order factorization machine
The goal is to recognize fruit through machine learning algorithm implementations such as K-NN algorithm or K-Mean algorithm.
Object recognition by random binary data lookup proof of concept for Fashion MNIST
Computer vision is a field of artificial intelligence (AI) that uses machine learning and neural networks to teach computers and systems to derive meaningful information from digital images, videos and other visual inputs—and to make recommendations or take actions when they see defects or issues.
Organização PlayCultural Bem-vindo ao repositório da Organização PlayCultural! Aqui você encontrará projetos, ferramentas e recursos desenvolvidos para impulsionar a inovação e a excelência na produção de eventos culturais, esportivos e corporativos.
Object recognition on QMNIST via random binary data lookup using a Higher-order factorization machine
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