sylvchev

manifold-net-vision

Operations for CNN on manifolds.

ceems

A Prometheus exporter and a REST API server to export metrics of compute units of resource managers like SLURM, Openstack, k8s, _etc_

ChatGPT_DAN

ChatGPT DAN, Jailbreaks prompt

nannyml

nannyml: post-deployment data science in python

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

cvx_short_course

Materials for a short course on convex optimization.

tonic

Publicly available event datasets and transforms.

git-of-theseus

Analyze how a Git repo grows over time

AirATP

Application R Shiny conçue pour surveiller la qualité de l'air à la station de métro Châtelet à Paris

nolds

Nonlinear measures for dynamical systems (based on one-dimensional time series)

ladder-methods

Implementations and experiments for Parallel Transport on Riemannian Manifolds with Schild's and pole ladder.

awful-ai

😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

libemg

fast-MPN-COV

@CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact bilinear pooling etc.) for training from scratch & finetuning.

SPDNet

GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.

SPDNetNAS

Code for the paper "Neural Architecture Search of SPD Manifold Networks" IJCAI 2021

qanat

Minimal package to manage and reproduce research experiments.

frites

Framework for Information Theoretical analysis of Electrophysiological data and Statistics

FlickersOnTop

C# program to superpose SSVEP and c-VEP flickers on top of other graphical interfaces

Thesis-Analysing-Deep-Learning-Decoding

brainda

BCI datasets and algorithms

happyFeat

A framework for simplying BCI workflow in clinical applications

adapt

Awesome Domain Adaptation Python Toolbox

eegsynth

Converting real-time EEG into sounds, music and visual effects

eSSN

pyCovariance

Parameter estimation and clustering/classification using Riemannian geometry.

ml-pen-and-paper-exercises

Pen and paper exercises in machine learning

geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

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

awesome-neural-geometry

A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond