Pinned Repositories
AndroidGymApp
BoraBora
BoraBora is a web application designed to facilitate event planning and reservations. The application allows users to browse events, make reservations, and interact with different pages for user registration, login, and event management.
Bowling-Object-Detection-and-Tracking
The goal of this project is to develop an automatic system for video analysis for the game of bowling. The system should be able to: (i) track the bowling ball that rolls down a synthetic lane with the goal of knocking down all the pins; (ii) detect the remaining standing pins.
Bsc-Thesis-Clickbait-Spoilers-Classification
This repo reflects my Bachelors Thesis along with my active participation at SemEval-2023 task 5: Clickbait Spoiling. My participation was specifically focused on the sub-task that involved identifying various types of clickbait spoiling, where I conducted a comparative analysis of several machine learning and deep learning approaches.
FacialEmotionRecognitionClustering
The task was to model two different unsupervised machine learning methods. The models I have chosen are GMM and Agglomerative Clustering and the dataset is Facial Emotion Recognition Image Dataset. The dataset consists of RGB images of cropped faces with 6 distinct emotions: Happy, Angry, Sad, Neutral and Surprise totaling around 14k samples.
Helicopter
A simple and improved clone of the famous Flappy Bird
MusicStore-Management-App
This is a simple code to ilustrate basic operations of a store implented in C++ with a deep understanding of OOP principles and techniques.
NLP
This repository contains various Python scripts and modules related to Natural Language Processing (NLP). The code covers different NLP techniques and models, ranging from basic syntax analysis to advanced machine learning methods.
SentencePairClassification
This project focuses on training a classifier to identify correlations between pairs of Romanian sentences. The dataset used includes 58,000 training pairs, 3,000 validation pairs, and 3,000 test pairs. Two machine learning models were implemented and evaluated: LinearSVC and Neural Networks.
Tree
This is a little coding project that simulates the tree command from DOS
mdragos1's Repositories
mdragos1/BoraBora
BoraBora is a web application designed to facilitate event planning and reservations. The application allows users to browse events, make reservations, and interact with different pages for user registration, login, and event management.
mdragos1/Bowling-Object-Detection-and-Tracking
The goal of this project is to develop an automatic system for video analysis for the game of bowling. The system should be able to: (i) track the bowling ball that rolls down a synthetic lane with the goal of knocking down all the pins; (ii) detect the remaining standing pins.
mdragos1/Bsc-Thesis-Clickbait-Spoilers-Classification
This repo reflects my Bachelors Thesis along with my active participation at SemEval-2023 task 5: Clickbait Spoiling. My participation was specifically focused on the sub-task that involved identifying various types of clickbait spoiling, where I conducted a comparative analysis of several machine learning and deep learning approaches.
mdragos1/FacialEmotionRecognitionClustering
The task was to model two different unsupervised machine learning methods. The models I have chosen are GMM and Agglomerative Clustering and the dataset is Facial Emotion Recognition Image Dataset. The dataset consists of RGB images of cropped faces with 6 distinct emotions: Happy, Angry, Sad, Neutral and Surprise totaling around 14k samples.
mdragos1/Helicopter
A simple and improved clone of the famous Flappy Bird
mdragos1/MusicStore-Management-App
This is a simple code to ilustrate basic operations of a store implented in C++ with a deep understanding of OOP principles and techniques.
mdragos1/NLP
This repository contains various Python scripts and modules related to Natural Language Processing (NLP). The code covers different NLP techniques and models, ranging from basic syntax analysis to advanced machine learning methods.
mdragos1/SentencePairClassification
This project focuses on training a classifier to identify correlations between pairs of Romanian sentences. The dataset used includes 58,000 training pairs, 3,000 validation pairs, and 3,000 test pairs. Two machine learning models were implemented and evaluated: LinearSVC and Neural Networks.
mdragos1/Tree
This is a little coding project that simulates the tree command from DOS
mdragos1/AndroidGymApp
mdragos1/Movie-Industry-Database
mdragos1/SemEval-Task5-2023