Curated list of project-based tutorials

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Mind-Speech Interface for NeuroTechX Student Clubs Competition 2022

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

Collection of Summer 2025 tech internships!

Repository showing the basics to register, plot and create a first database with the Unicorn Hybrid Black EEG recorder in python.

A set of EEGLAB and Python functions to interact with the Unicorn Hybrid Black

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

Deep learning software to decode EEG, ECG or MEG signals

TorchEEG is a library built on PyTorch for EEG signal analysis.

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

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

This is source code provided for replication of SSVEPNet

Python package for SSVEP datasets and algorithms. Corresponding paper has been accepted by IEEE TNSRE (DOI: 10.1109/TNSRE.2024.3424410)

Official Repository of 'Transfer learning of an ensemble of DNNs for SSVEP BCI spellers without user-specific training'

Official Repository of 'A Deep Neural Network for SSVEP-Based Brain-Computer Interfaces'

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

💯 Curated coding interview preparation materials for busy software engineers

Under Improvement

Classical equations and diagrams in machine learning

My solutions to Dr.Mostafa Saad's sheet to train and improve problem solving skill and to learn Algorithms.

The repository contains the ENGLISH description files attached to the video series in my ARABIC algorithms channel.

This is a compilation of competitions that are relevant to graduation projects, along with comprehensive details about each of them.

🛰️ Double Differencing: Main method of high precision commercial positioning. This method requires two high grade GNSS receivers. In this case a reference, and a (static or kinematic) rover receiv…

UI/UX Squad Roadmap

Free resources for learning Full Stack Web Development