lucas-heck's Stars
yi-ding-cs/EEG-Deformer
A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BCI)
fwillett/speechBCI
Code for the paper "A high-performance speech neuroprosthesis"
flinkerlab/neural_speech_decoding
KingJamesSong/BatchED
ECCV22 Paper "Batch-efficient EigenDecomposition for Small and Medium Matrices"
SaitejaUtpala/rieoptax
Riemannian Optimization Using JAX
CECNL/MAtt
facebookresearch/schedule_free
Schedule-Free Optimization in PyTorch
desa-lab/EEG-Image-Reconstruction
Image reconstruction from visual evoked potentials using latent diffusion
raphaelvallat/yasa
YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
935963004/LaBraM
ICLR 2024 spotlight
G-Research/fasttrackml
Experiment tracking server focused on speed and scalability
Arsu-Lab/Different-Algorithms-Uncover-Different-Patterns-BrainAge-Prediction
Github Repository for the paper "Different Algorithms (Might) Uncover Different Patterns: A Brain-Age Prediction Case Study" - BIBM 2023
meeg-ml-benchmarks/brain-age-benchmark-paper
M/EEG brain age benchmark paper
wenhui0206/NeuroGPT
Code for the paper "Neuro-GPT: Towards a Foundation Model for EEG"
neuro-galaxy/poyo
Official Implementation of POYO-1 https://poyo-brain.github.io/
Navidfoumani/EEG2Rep
Altaheri/EEG-ATCNet
Attention temporal convolutional network for EEG-based motor imagery classification
martinwimpff/channel-attention
lukas-blecher/LaTeX-OCR
pix2tex: Using a ViT to convert images of equations into LaTeX code.
geomstats/geomstats
Computations and statistics on manifolds with geometric structures.
ncclabsustech/EEGdenoiseNet
EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comparing the performance across different models.
wrongu/repsim
PyTorch-based library for various kinds of representational-similarity analysis
GitWR/MRMML-v1.0
A Matlab implementation of our previously published work in IEEE Trans. Big Data (TBD)
GitWR/SymNet
This is a matlab implementation of our article, named "SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Image Set Classification", recently accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
rycamargo/sleep-energy
Source-code from paper "Sleep-Energy: An Energy Optimization Method to Sleep Stage Scoring."
AutoResearch/EEG-GAN
msyamamoto/RiSC
Code for outlier detection and multimodal classification on the symmetric positive definite (SPD) manifold of neural time series.
MTangermann/BCI-2023-Workshop_Learning-from-small-datasets
Collection of materials and links to talks given, tools presented, software demos etc.
cvxgrp/cov_pred_finance
pxxyyz/SPD-Manifold-Network