yanzlLee's starred repositories

erplab

ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides enormous power for intermediate and advanced users.

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openneuro-py

A client for accessing OpenNeuro datasets, written in Python.

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EEG-Microstate-Analysis-Tutorial

This GitHub provides a tutorial for performing microstate analysis of EEG data in Cartool software.

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exptools2

Version 2 of exptools (by KnapenLab)

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msit

Multi-Source Interference Task (Bush et al. 2006, PMID 17406250)

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OpenMATB

OpenMATB: A Multi-Attribute Task Battery promoting task customization, software extendability and experiment replicability

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AVCAffe

[AAAI 2023] AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work

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gigadb-website

Source code for running GigaDB

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Open-Source-Sensor-Fusion

Open Source Sensor Fusion

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IMU_teensy4

Quaternion based IMU with EKF

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ElectrophysiologyData

A list of openly available datasets in (mostly human) electrophysiology.

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ThinkComplexity2

Book and code for Think Complexity, 2nd edition

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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rustdesk

An open-source remote desktop application designed for self-hosting, as an alternative to TeamViewer.

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eeg-driver-fatigue-detection

🧠 + 🚗 Driver fatigue detection through multiple entropy fusion analysis in an EEG-based system

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CL-Drive

This is the official repository of our work entitled "Multimodal Brain-Computer Interface for In-Vehicle Driver Cognitive Load Measurement"

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EEG-Datasets

A list of all public EEG-datasets

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FRR-vs-DTW

This project is to compare our Fisher-Rao registration framework to the Dynamic Time Warping (DTW) to analyze neural signals such as EEG and fMRI where phase variability plays an important role in the data. The code provided here illustrate comparisons with simulation examples.

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DTW

Dynamic Time Warping for Measuring ERP latency differences

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NEU-Thesis

东北大学学位论文LaTex版,可直接导入Overleaf。LaTex version of Northeastern University's thesis, which can be imported directly into Overleaf.

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tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

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examples

Example deep learning projects that use wandb's features.

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BCI-ToolBox

Deep Learning pipeline for motor-imagery classification.

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braindecode

Deep learning software to decode EEG, ECG or MEG signals

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deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

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EEGEyeNet

EEGEyeNet is benchmark to evaluate ET prediction based on EEG measurements with an increasing level of difficulty

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