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.
openneuro-py
A client for accessing OpenNeuro datasets, written in Python.
EEG-Microstate-Analysis-Tutorial
This GitHub provides a tutorial for performing microstate analysis of EEG data in Cartool software.
gigadb-website
Source code for running GigaDB
Open-Source-Sensor-Fusion
Open Source Sensor Fusion
IMU_teensy4
Quaternion based IMU with EKF
ElectrophysiologyData
A list of openly available datasets in (mostly human) electrophysiology.
ThinkComplexity2
Book and code for Think Complexity, 2nd edition
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.
eeg-driver-fatigue-detection
🧠 + 🚗 Driver fatigue detection through multiple entropy fusion analysis in an EEG-based system
EEG-Datasets
A list of all public EEG-datasets
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.
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.
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
BCI-ToolBox
Deep Learning pipeline for motor-imagery classification.
braindecode
Deep learning software to decode EEG, ECG or MEG signals
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.