igor-id Goto Github PK

bci

Brain-Computer interface stuff

bci-eeg-signal_processing-ml

The purpose of the repository is to implement the best practices in the BCI field. The ultimate goal is to integrate them into my long-term research interest, namely the notion of how Jungian archetypal symbols can be related to cognitive processes, as well as the correlation between archetypal motifs and mental patterns, including emotions, memory, semantic cognition, consciousness, recognition, and so on.

brain-age-benchmark-paper

M/EEG brain age benchmark paper

braindecode

Deep learning software to decode EEG, ECG or MEG signals

chatgpt-api-basics

data-analysis-with-python

Data Analysis with Python projects provided by freecodecamp.org

deep-bci

An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

deep-learning-for-bci

Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications

eeg-dl

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

eegwithraspberrypi

Open-Source board for converting RaspberryPI to Brain-computer interface

fashion_adviser_telegram_bot

Fashion adviser AI telegram bot

fellowship-challenges

Fellowship Challenges - Debug problem

fooof

Parameterizing neural power spectra into periodic & aperiodic components.

g.tec-br41n.io-hackathon-unresponsive-wakefulness-syndrome

My solution for the g.tec & BR41N.IO 24-hour BCI hackathon on Unresponsive Wakefulness Syndrome analysis.

idretailmanager

A retail managment system

igor-id

Config files for my GitHub profile.

image-compression

Image compression using the FFT and wavelets

inner_speech_dataset

Research & Development of inner speech-based brain-computer interface (BCI) based on the Inner speech Dataset publicated by Nieto et al.

mbti-ml

MBTI dataset processing

mi-eeg-1d-cnn

A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm and a limited number of EEG channels. Paper: https://doi.org/10.1088/1741-2552/ac4430

mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

mne-study-template

Template for a group study using the MNE Python software

moabb

Mother of All BCI Benchmarks

neurodsp

Digital signal processing for neural time series.

nilearn

Machine learning for NeuroImaging in Python

nipype

Workflows and interfaces for neuroimaging packages

openai-cookbook

Examples and guides for using the OpenAI API

pixel-coordinates-calculator

Fetch Rewards Coding Assessment - Machine Learning Engineer

radimagenet

RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning for medical imaging applications.

scientific-computing-with-python

Scientific Computing with Python Projects provided by freecodecamp.org