Sami-Dane's starred repositories
Object-Detection-with-YOLOv3-and-FastAPI
A streamlined implementation showcasing object detection using YOLOv3 and FastAPI, enabling seamless integration of advanced computer vision capabilities into web applications.
Neural-Style-Transfer-with-Python
This repository provides an easy-to-use implementation of neural style transfer, allowing you to apply the artistic style of one image to the content of another. Choose between the functional approach and the object-oriented programming (OOP) approach based on your preference and project requirements.
YOLOv8-DeepSORT-Object-Tracking
YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT
Keras-CNN-cats-vs-dogs-image-classification
This project is an image classification project using a deep-learning based on Convolutional Neural Networks (CNNs) with Keras. The Dogs vs. Cats is a classic problem for anyone who wants to dive deeper into deep-learning.
Sensor-data-visualization-with-esp32-and-python
This projects consists of sending DHT11 sensor data acquired on a esp32 board and visualizing the data with a python script using matplotlib
Neural-Network-from-scratch
This project involves creating a Neural Network from scratch, which would have provided an understanding about the fundamental concepts behind neural networks and the implementation of these concepts in code, as well as experience in designing, training and evaluating machine learning models from scratch.
Birds-450-species-image-classification
This project is an image classification task of 450 bird species using the MobileNetV2 architecture.
Facial-recognition-with-dlib
This project uses dlib library to detect and identify faces from images
Real-time-facial-recognition-with-python-dlib
This project uses the dlib library for facial recognition and the OpenCV library for webcam and video processing. Feel free to use and modify the code for your own projects!
Transfer-Learning-with-MobileNetV2-for-Cats-vs-Dogs-Image-Classification
This project is an image classification project based on a transfer learning approach using with MobileNetV2 architecture.
Visualizing-what-convnets-learn
This Github repository explains the impact of different activation functions on CNN's performance and provides visualizations of activations, convnet filters, and heatmaps of class activation for easier understanding of how CNN works.
YOLOv3-simple-object-detection
This GitHub repository showcases simple object detection using YOLOv3 and Tiny YOLOv3 models on images and videos.
YOLOv5-object-detection
This GitHub repository showcases simple object detection using different YOLOv5-based models on images and videos.
Object-tracking-and-counting-using-YOLOV8
This repository contains the code for an object detection, tracking and counting project using the YOLOv8 object detection algorithm and the SORT (Simple Online and Realtime Tracking) algorithm for object tracking. The project has been implemented using object-oriented programming principles in Python.
YOLOv8-custom-object-detection
This repository showcases the utilization of the YOLOv8 algorithm for custom object detection and demonstrates how to leverage my pre-developed modules for object tracking and counting tasks.