Aydin's repositories
Pneumonia-Detection-Ai
This project uses a deep learning model built with the TensorFlow Library to detect pneumonia in X-ray images. The model architecture is based on the EfficientNetB7 model, which has achieved an accuracy of approximately 97.12% (97.11538%) on our test data. This high accuracy rate is one of the strengths of our AI model.
Python-CLI-toolkit
This Python CLI Toolkit is a powerful tool for creating command-line interfaces (CLI) with Python. It provides a framework for defining commands, handling user input, and managing modules.
Advanced-Arduino-DataLogger
This project is an advanced datalogger that logs temperature, humidity, and air pressure. It uses an Adafruit SHT31 sensor for temperature and humidity, and a BMP180 for air pressure.
Ai-MNIST-Advanced-model
This project uses an AI model trained on the MNIST dataset to predict handwritten numbers with img noise.
Python-check-arg
The check_arg function is a handy Python code snippet that checks if a specific argument exists in a list of arguments. It's a reusable piece of code that you can easily integrate into your projects.
Python-CLI-template
This is a Python-based Command Line Interface (CLI) template. It's designed to be interactive and user-friendly, providing a variety of commands for users to interact with the system. You can customize this template to suit your needs by modifying the global variables, helper functions, and command functions.
Python-color-print
a simple way to print colored text to the console.
Python-color-print-V2
A simple and user friendly way to print colored text to the console.
Python-Debug-print
This function is used for debugging purposes. It prints out various information about the data passed to it.
PyTorch-Project-Template
A Simple Template For A PyTorch Classification Project 😄
PrimeGen_CPP_Multithreaded
A multi-threaded prime number generator that efficiently finds and logs prime numbers to a file. Utilizes modern C++ features like atomic variables, mutexes, and condition variables for thread synchronization. The program dynamically adjusts the number of threads based on the hardware concurrency or a custom number, ensuring optimal performance.
Pytorch-Garbage-Classification
Welcome to the repository of our garbage classification project! We have developed a model using PyTorch and EfficientNet-B4 that classifies garbage into twelve different types. The model has achieved an impressive accuracy of 98.45%.