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autoencoders

This repository explores the use of autoencoders for breast cancer detection using ultrasound image data.

bank_marketing

bnb_bfs

In this repository, I performed Breadth-First Search (BFS) on the Branch and Bound algorithm step by step.

breast-ultrasound-image-analysis

This repository contains a Jupyter notebook that demonstrates various tasks related to breast ultrasound image analysis using deep learning techniques. The notebook combines code for image segmentation, classification, compression, reconstruction, and generation.

breast_cancer_image_segmentation

This project leverages the power of U-Net architecture implemented in PyTorch for breast cancer image segmentation.

ecg_analysis

In this repository, ECG data (electrocardiogram) has been processed and classified with Tensorflow and Pytorch.

gan_breastcancerdata_pytorch

This repository contains a Generative Adversarial Network (GAN) implementation for generating synthetic breast cancer images using PyTorch. The GAN is trained on a dataset of breast cancer images.

heart-disease-classification-clustering

A machine learning project for the classification and clustering of heart disease using the heart.csv dataset. Explore various algorithms to predict heart disease presence and group individuals based on similar characteristics.

made-with-ml

pairs-trading-with-python

parsakhavarinejad

About Me

parsakhavarinejad.github.io

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real-esrgan-streamlit

This repository is a fork of the Real-ESRGAN project (https://github.com/ai-forever/Real-ESRGAN) with an additional feature for local image super-resolution. It leverages Streamlit to create a user-friendly web application that allows you to upscale images directly on your machine.

transfer_learning_finetuning_breastcancerdata

This repository contains a pre-trained image classification model utilizing the VGG16, VGG19 and EfficientNet-B7 architecture. The model supports transfer learning and fine-tuning, offering flexibility for adapting to specific image recognition tasks.

transfer_learning_resnet50

This notebook demonstrates transfer learning using the ResNet50 architecture on the oxford_flowers_102 dataset.

tsp_optimization

This repository contains a Python notebook implementing a class for solving multiple Traveling Salesman Problems (TSP) using Pyomo and the CPLEX solver. The class includes a solution for the simple TSP scenario when there is only one driver.

unet_on_oxford_pet_dataset

This project implements U-Net, a convolutional neural network architecture, on the Oxford Pets III dataset.