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swolf's Projects

alignment-methods-and-adabn icon alignment-methods-and-adabn

Code of "Enhancing transfer performance across datasets for brain-computer interfaces using a combination of alignment strategies and adaptive batch normalization"

bci_toolbox icon bci_toolbox

Classification toolbox for ERP and SSVEP based BCI data

brain-computer-interfaces icon brain-computer-interfaces

Steady-state Visual Evoked Potentials (SSVEP) BCI Classification Algorithms on a 12-Class SSVEP Public Dataset

brainda icon brainda

A Library of Datasets and Algorithms for Brain-Computer Interface

caj2pdf icon caj2pdf

Convert CAJ (China Academic Journals) files to PDF. 转换**知网 CAJ 格式文献为 PDF。佛系转换,成功与否,皆是玄学。

captum icon captum

Model interpretability and understanding for PyTorch

ccg icon ccg

Lectures on Computational Conformal Geometry

celery icon celery

🌿于老爷子的芹菜,一个解除网页“禁用复制”的小书签。

computer-science icon computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

convnetjs icon convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

dataset-ssvep-exoskeleton icon dataset-ssvep-exoskeleton

SSVEP-based BCI recording of 12 subjects operating an upper limb exoskeleton during a shared control task. The exoskeleton is either controlled with a touchless interface detecting hand poses or with BCI.

deep-bci icon deep-bci

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

deepexplain icon deepexplain

A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain includes support for as well as Shapley Values sampling.

dtw icon dtw

DTW (Dynamic Time Warping) python module

dwt-domain-adaptation icon dwt-domain-adaptation

Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)

eeg-adapt icon eeg-adapt

Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".

eeg-dl icon eeg-dl

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

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