GeometricBCI

Ce Ju's starred repositories

Tensor-CSPNet-and-Graph-CSPNet

This is the python implementation of Tensor-CSPNet and Graph-CSPNet.

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mind-vis

Code base for MinD-Vis

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SPDSW

Implementation of our ICML2023 paper "Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals"

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geomstats

Computations and statistics on manifolds with geometric structures.

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riemannian-score-sde

Score-based generative models for compact manifolds

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TSMNet

Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG

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geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

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eeg-adapt

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

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play2vec

Effective and Efficient Sports Play Retrieval with Deep Representation Learning

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NeurIPS19_manifold-regression-meeg

Public repo for data analysis of NeurIPS19 paper "Manifold-regression to predict from MEG/EEG brain signals without source modeling"

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spdnet

Implementation of Deep SPDNet in pytorch

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leaf

Leaf: A Benchmark for Federated Settings

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moabb

Mother of All BCI Benchmarks

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lsoftmax-pytorch

The Pytorch Implementation of L-Softmax

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geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

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arl-eegmodels

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

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FBCNet

FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface

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PyGrid-deprecated---see-PySyft-

A Peer-to-peer Platform for Secure, Privacy-preserving, Decentralized Data Science

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federated

A collection of Google research projects related to Federated Learning and Federated Analytics.

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SafeOpt

Safe Bayesian Optimization

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mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

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pyRiemann

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

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SPDNet

This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017

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Federated-Transfer-Leraning-for-EEG

This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society July 20-24, 2020 via the EMBS Virtual Academy)

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Federated-Transfer-Learning-for-EEG

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PySyft

Perform data science on data that remains in someone else's server

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apollo

An open autonomous driving platform

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play2vec

Effective and Efficient Sports Play Retrieval with Deep Representation Learning

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awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

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Quantum-Reinforcement-Learning

Jupyter notebooks of the simulations ran as part of a semester project on "Quantum Reinforcement Learning and Projective Simulation" at Télécom ParisTech + internship report "On the Quantum Speed-up of Markov Chain Monte Carlo Methods for Reinforcement Learning" completed at the University of Innsbruck

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