omegamax10 Goto Github PK

atm-proxy-load-balancer

Simple Load Balancer proxy service

chat-app

Chat app that uses Django for the backend component, together with PostgreSQL for user credential storage and Elasticsearch for message logging

deep-learning-coursera

These are the solutions to the programming exercises from the Deep Learning specialization from Coursera

dental-solutions

emotion-detector-using-facial-landmarks-and-deep-learning

Emotion detector capable of identifying 7 of the most important human emotions: angriness, disgust, fear, happiness, neutral, sadness, surprise. This application is based on the 68 facial landmarks computed by the shape predictor from "dlib" Python module. The model for this deep learning application is built using Tensorflow Keras and was trained on the FER-2013 dataset. The dataset is parsed using Pandas module of Python.

face-mask-detection-using-yolov4

Because of the COVID-19 pandemic of 2020, more and more people are concerned with protecting themselves using masks, thus the need of software capable of monitoring whether the people are wearing masks or not. That is why I created a Python application using OpenCV (with CUDA support) based on the YOLOv4 algorithm, capable of monitoring the safety level of a space with video surveillance.

face-mask-detector-for-jetson-nano

Because of the COVID-19 pandemic of 2020, more and more people are concerned with protecting themselves using masks, thus the need of software capable of monitoring whether the people are wearing masks or not. That is why I created a Python application using OpenCV (with CUDA support) based on the YOLOv4 algorithm, more precisely the tiny option, capable of monitoring the safety level of a space with video surveillance. This is the Jetson Nano version of the application.

fire-alarm-system

Fire alarm system that detects fire in a camera stream and sends alerts as notifications to the phones of the users that subscribed to this alerting service and are at most 2 km away from the fire.

game_of_life

The Game of Life, also known simply as Life, is a cellular automaton devised by the British mathematician John Horton Conway in 1970. The game is a zero-player game, meaning that its evolution is determined by its initial state, requiring no further input. One interacts with the Game of Life by creating an initial configuration and observing how it evolves, or, for advanced players, by creating patterns with particular properties.

hill-climbing-algorithm-for-breaching-diffie-hellman-key-exchange

This script is used for breaching Diffie-Hellman key exchange using stochastic hill climbing with random restarts. The algorithm actually tries to solve the NP-Complete problem (for small enough parameters) of the discrete logarithm, on which Diffie-Hellman key exchange (and also a vast majority of the public key cryptographic algorithms) are based

image-filtering-using-mpi

The goal of this project is to build a scalable MPI program that can apply multiple filters (smooth, blur, sharpen, mean, emboss) on images with .pnm or .pgm format.

instagram-analytics

Django based web application that can be deployed as a Docker container used to analyze the data of an Instagram account.

landmark-recognition-and-retrieval-app

Android application used for organizing, sorting and localizing of pictures of landmarks, as well as identifying similar images to the photos made by the user

log-in-application

The "Log in Application" is a PyQt-based application which allows the user to choose and log in a social media network (Facebook, Twitter or Instagram), by providing the username or email and password. The application also displays the system time.

machine-learning-programming-assigments-coursera-andrew-ng

These are the solutions to the programming assigments from Andrew Ng's "Machine Learning" course from Coursera

medpolis

Desktop C# application for a clinic

simple-movie-recommender

Simple movie recommender built in GNU Octave, which creates a database of user ratings (100,000 ratings applied to 9,000 movies by 600 users), receives movie ratings from a new user(from 1 to 5, with half-star ratings allowed) and, based on those, gives the user a number of movie recommendations.

spam-classifier

Spam classifier using support vector machine (LIBSVM)

text-generation-with-lstm

Text generation using a character-based RNN with LSTM cells. We will work with a dataset of Shakespeare's writing from Andrej Karpathy's The Unreasonable Effectiveness of Recurrent Neural Networks. Given a sequence of characters from this data ("Shakespear"), train a model to predict the next character in the sequence ("e"). Longer sequences of text can be generated by calling the model repeatedly. Developed using Keras. Inspired by the following notebook: https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/text/text_generation.ipynb#scrollTo=BwpJ5IffzRG6

trigger-word-detection-in-real-time

Trigger word detection application using Keras, which triggers an action whenever you say the trigger word "Activate". The action in this case is producing a "chiming" sound.

yolov4-detection-using-opencv

YOLOv4 detection on COCO dataset using OpenCV DNN module, compiled with CUDA.

yolov4-video-and-image-detection-using-tf2_yolov4

YOLOv4 Video and Image Detection for 80 types of objects using OpenCV and tf2_yolov4 module in Python.

yolov8-object-detection-tracking-image-segmentation-pose-estimation

YOLOv8 object detection, tracking, image segmentation and pose estimation app using Ultralytics API (for detection, segmentation and pose estimation), as well as DeepSORT (for tracking) in Python. This app uses an UI made with streamlit and it can be deployed with Docker.