The notebooks we use on ML course

This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.

Developing a UNet3D model for accurate MRI skull stripping using the Calgary Campinas 359 dataset, enhancing neuroimaging preprocessing workflows.

This project explores the impact of Multi-Scale CNNs on the classification of EEG signals in Brain-Computer Interface (BCI) systems. By comparing the performance of two models, EEGNet and MSTANN, t…

GitHub repository featuring EEG data augmentation methods for neural network training.

Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python

This code implements the EEG Net deep learning model using PyTorch. The EEG Net model is based on the research paper titled "EEGNet: A Compact Convolutional Neural Network for EEG-based Brain-Compu…

In this project, I am attempting to detect three types of chest cancer using ResNet50 and transfer learning.

My BSc Thesis implementation which dwells upon the complex task of Truth Detection (often also referred to as Deception Detection or Lie Detection).

convert to tensorflow2 Mohammadamin Dehmolaee