lucas-heck's Stars
speechbrain/benchmarks
This repository contains the SpeechBrain Benchmarks
PLC-TJU/RSF
Riemannian Geometry-Based Spatial Filtering (RSF)
gjoelbye/SPEED
andrea-cavallo-98/STVNN
Implementation of STVNN from the paper "Spatiotemporal Covariance Neural Networks", ECML PKDD 2024
robertomatheuspp/RMTClustering
Consistent Estimation of a Class of Distances Between Covariance Matrices
GitZH-Chen/LieBN
This is the official code for our ICLR 2024 publication: A Lie Group Approach to Riemannian Batch Normalization.
thibaultdesurrel/Trajectory-MDM
This repository contains the code for the paper "Averaging trajectories on the manifold of covariance matrices".
apmellot/GOPSA
Geodesic Optimization for Predictive Shift Adaptation on EEG data
jdtuck/fdasrsf_python
elastic fda python code
GitZH-Chen/SPDMLR
This is the official code for our CVPR 2024 publication: Riemannian Multinomial Logistics Regression for SPD Neural Networks
scikit-adaptation/skada-bench
Domain Adaptation benchmark
julianagonzalezastudillo/netfeat
Feature interpretability in motor imagery BCI
GitZH-Chen/CDEM_CDBWM
This is the official code for our Arxiv submission: Product Geometries on Cholesky Manifolds with Applications to SPD Manifolds.
konglk1203/VariationalStiefelOptimizer
Implementation for the paper 'Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport' (ICLR 2023)
apmellot/harmonizing_aligning_meeg
coffeine-labs/coffeine
Covariance Data Frames for Predictive M/EEG Pipelines
xicheng105/EEG-DBNet
For test
AmmarMian/icml-rmt-2024
dlcjfgmlnasa/NeuroNet
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG
rushilanirudh/tsrvf
A MATLAB based implementation for the Transport Square-root Velocity Framework to align trajectories on Riemannian manifolds
pierreablin/landing
HigherOrderCO/Bend
A massively parallel, high-level programming language
olcf/cuda-training-series
Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)
Roche/neuro-green
This project contains the code for a deep learning architecture to analyze EEG data.
elouayas/EEGSimpleConv
Repository of EEG-Simpleconv original paper
wilson-labs/cola
Compositional Linear Algebra
benchopt/benchmark_bci
Benchmark for Brain Computer Interface methods
HAIx-Lab/SpatialExplanations4BCI
Code for the paper "Quantifying Spatial Domain Explanations in BCI using EMD", IJCNN 2024
lrkrol/SEREEGA
SEREEGA: Simulating Event-Related EEG Activity
KindXiaoming/pykan
Kolmogorov Arnold Networks