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xuesn's Projects
ai-expert-roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2020
brainspace
BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |
canlabcore
Core tools required for running Canlab Matlab toolboxes. The heart of this toolbox is object-oriented tools that enable interactive analysis of neuroimaging data and simple scripts using high-level commands tailored to neuroimaging analysis.
deep-learning-for-bci
Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications
deep-learning-papers-reading-roadmap
深度学习论文阅读路线图
eeg_shape_reconstruction
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals, published in ICONIP 2019.
eegdataset
A large-scale multi-session EEG dataset for modeling human visual object recognition
eegvisualdecoding
A Hybrid Local-Global Neural Network for Visual Classification using Raw EEG Signals
interpret_ml_neuroimaging
Codes and datasets for "Interpreting machine learning models in neuroimaging: a unified framework"
lc_rsfmri_tools_matlab
resting-state fmri tools
nibabel
Python package to access a cacophony of neuro-imaging file formats
nilearn
Machine learning for NeuroImaging in Python
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