On this Github page, I share my Computer Vision projects, Deep Learning Projects, notebooks as well as other AI projects, and list them below with brief explanations.

My master's thesis code repository. Addresses the lung disease detection problem in chest X-rays. Implemented a symmetry-aware deep learning model that utilizes Siamese Network with DenseNet as a feature extractor. Additionally, developed an alignment module to make the lung fields symmetric in the vertical line. Achieved up to 10% improvement in the AUROC score.

Implemented PSMNet and GC-Net models using PyTorch Deep Learning Framework. The models have been trained on the Driving Dataset, Monkaa Dataset, Flyingthings3D Dataset, and tested on the Kitti Dataset. To attain the highest result, different ideas have been tried and hyperparameter tuning has been carried out in a variety of experiments.

This project provides a Qt user interface for some image processing methods so that the user can play with these methods interactively. Implementations of various image warping methods including fish eye, swirl, waves, cylinder anamorphosis, radial blur, bilinear warping, and perspective mappings are comprised.

This repository consists of 5 projects:

1. Regression and Classification
2. Decision Forest for Segmentation
3. Convolutional Neural Networks
4. Object Classification
5. Segmentation with k-Means

This repository contains the following projects:

1. Digit Classification on MNIST
2. Logistic Regression on CIFAR10
3. CNNs on SVHN
4. Robot-Human Classification

This repository includes notebooks of several ML and optimization methods. The notebooks are listed below:

1. SVM
2. PCA
3. Multi-SOM-Multi-NeuralGas
4. Hopfield Networks
5. Numerical Optimization

This repository contains notebooks of mini deep learning tasks on the PyTorch framework.

Mini data mining library using Spark and H2O framework.

Big Data Analysis on Netflix Prize Dataset with Hadoop library.

My hands-on notes for Deep Learning Specialization on Coursera

A Genetic Algorithm has been implemented to generate an image similar to the original form.

A Genetic Algorithm has been implemented to find a suitable path from the start point to the target in the map containing obstacles.