Projects in Awesome Lists by miladbadeleh
A curated list of projects in awesome lists by miladbadeleh .
https://github.com/miladbadeleh/flappy-bird
This is a simple flappy game made by python
flappy-bird flappy-bird-game flappy-game flappybird python
Last synced: 29 Jan 2025
https://github.com/miladbadeleh/miladbadeleh
Config files for my GitHub profile.
Last synced: 10 Apr 2025
https://github.com/miladbadeleh/qcnn-mnist
This notebook implements a Quantum Convolutional Neural Network (QCNN) to classify handwritten digits from the MNIST dataset, specifically distinguishing between digits 3 and 6. The implementation uses TensorFlow Quantum (TFQ) and Cirq to create and train a quantum machine learning model.
Last synced: 10 Apr 2025
https://github.com/miladbadeleh/github-achievements
🔥 A Complete List of GitHub Profile Badges and Achievements 🔥
achievement achievements badge display earn github list profile profile-reademe readme source stats
Last synced: 10 Apr 2025
https://github.com/miladbadeleh/pedestrian-detection
detect pedestrian with opencv
Last synced: 15 Mar 2025
https://github.com/miladbadeleh/high-resolution-concrete-crack-detection-pytorch
Last synced: 24 Feb 2025
https://github.com/miladbadeleh/high-resolution-concrete-crack-detection-tensorflow
Last synced: 24 Feb 2025
https://github.com/miladbadeleh/weld-defect-detection-using-resnet18
This repository contains a PyTorch implementation of the ResNet18 model for classifying weld defects. The model is trained on a custom dataset of weld images to detect various types of weld defects.
Last synced: 23 Mar 2025
https://github.com/miladbadeleh/weld-defect-detection-using-resnet50
This repository contains a PyTorch implementation of a ResNet50 model for classifying weld defects. The model is trained on a custom dataset of weld images to detect various types of aesthetic defects.
Last synced: 23 Mar 2025
https://github.com/miladbadeleh/weld-defect-detection-using-densenet121
This repository contains a PyTorch implementation of the DenseNet121 model for classifying weld defects. The model is trained on a custom dataset of weld images to detect various types of weld defects.
Last synced: 23 Mar 2025