arup99

Awesome-Brain-Encoding--Decoding

BCI_project

Classification of Electroencephalogram (EEG) signals during the performance of two class Motor Imagery tasks by different subjects.

bengaliNLP

Bengali sentiment analysis

Brain-Computer-Interface-Movement-Decoding

Code to perform experiments predicting the movement direction of a subject based on EEG data

brain_project

Analyzing brain connectivity during sleep. Semester project - ETH Zürich - Summer 2018.

Classification-and-Analysis-of-Electraencephalography-EEG-Signals

Classification and Analysis of EEG Signals using Machine Learning Algorithms

CognitiveLoad

Confused-Student-EEG-Brainwave-Data-Classification-using-XGBoost

EEG Classification on dataset https://www.kaggle.com/datasets/wanghaohan/confused-eeg

CSA-Net

deap-eeg-classification

EEG-based emotion classification using DEAP dataset

arup99/Awesome-Brain-Encoding--Decoding

arup99/BCI_project

Classification of Electroencephalogram (EEG) signals during the performance of two class Motor Imagery tasks by different subjects.

arup99/Brain-Computer-Interface-Movement-Decoding

Code to perform experiments predicting the movement direction of a subject based on EEG data

arup99/Confused-Student-EEG-Brainwave-Data-Classification-using-XGBoost

EEG Classification on dataset https://www.kaggle.com/datasets/wanghaohan/confused-eeg

arup99/CSA-Net

arup99/deap-eeg-classification

EEG-based emotion classification using DEAP dataset

arup99/Decoding-EEG-during-AO-MI-ME

Improvement upon the IEEE Sensors Journal research of decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting.

arup99/dpeeg

Deep Learning with EEG.

arup99/EEG-Classification2

feature extraction with auto Encoder and classification with XGboost

arup99/EEG-Driven-Emotion-Detection-and-Classification

A project that uses EEG data to classify human emotions using machine learning techniques.

arup99/Eeg_AIRS_Project

EEG Classification

arup99/EEG_BCI

EEG classification project. Uses a variety of classifiers and methods to parse EEG data.

arup99/EEG_Classification_SignalModelingProject

Classifying EEG signals as a Face trial or a Car trial, based on the paper by Dr Paul Sajda - "Temporal characterization of the neural correlates of perceptual decision making in the human brain"

arup99/EEGClassification_LSTM-CNN

This project explores the relationship between deep learning and neuroscience to develop a classification model for EEG data analysis. The main focus is on diagnosing epilepsy, a neurological condition marked by uncontrollable seizures.

arup99/EEGNet-improved.

In this repository we used a variant of the EEGNet in order to classify patients with epilepsia

arup99/Enhancing-Cross-Subject-Motor-Imagery-Classification-using-VGG-based-CNN-and-WGANs

This code is for classifying spectrogram images of Motor Movement/Imagery tasks using a CNN and WGAN.

arup99/Extracting-power-bands-theta-delta-bands-from-the-EEG-signal-using-MNE-and-YASA-Python

Extracting power bands (theta, delta, alpha, beta bands) from the EEG signal using MNE and YASA Python

arup99/feature-engineering-for-motor-imagery-classification

This repo contains the code for my Bachelor-Thesis: Feature engineering for motor imagery classification.

arup99/functional-brain-age

Working example of EEG-based functional brain age (FBA) predictions

arup99/M.Tech-CSP_PGP

M.Tech final year project (PGP)

arup99/machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

arup99/Machine-Learning-for-EEG-Prosthetic-Arm-Control

Implementation and benchmarking of machine learning methods for identifying hand motions from EEG recordings.

arup99/Medical-Analysis

This repository contains Medical Analysis projects

arup99/ML-BCI

Machine Learning based Brain Computer Interface (BCI) by analyzing EEG Data using PyTorch

arup99/MsThesisProject

University MS Thesis Project, Controlling an avatar in a Virtual Environment via EEG Motor Imagery

arup99/NBML-BCI-Competetion-2022

The submission code and dataset for the Fifth BCI Competition focusing on auditory attention held by Iranian National Brain Mapping Laboratory (NBML) .

arup99/py-flask-docker

ML Prediction API using LDA and NN for EEG Data

arup99/ReadMat

Series of experiments on the BED dataset

arup99/Recognizing-Hand-Movements-Using-EEG-Signal-Classification

Recognizing Hand Movements Using EEG-Signal Classification

arup99/Signal-Processing-Projects

Signal processing - includes different projects