sylvchev

machine_learning_complete

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

prettymaps

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

infotopopy

computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep information networks

scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

BCI-2021-Riemannian-Geometry-workshop

Riemannian Geometry workshop at vBCI Meeting 2021

pyRiemann

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

didactic-meeg-bci

HPA-competition-solutions

Team original solutions for the Human Protein Atlas image classification competition

PtitPrince

python version of raincloud

pyts

A Python package for time series classification

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

dl-eeg-review

Supplementary material for systematic literature review on deep learning and EEG.

SEREEGA

SEREEGA: Simulating Event-Related EEG Activity

Brain-computer-interfaces

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

decoding-brain-challenge-2016

Code and documentation for the winning solution to the Decoding Brain Signals Cortana challenge

mnelab

MNELAB – a GUI for MNE

constraining-dark-matter-with-stellar-streams-and-ml

Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.

Cerebro

Codes for the paper titled, "Cerebro: A Wearable Solution to Detect and Track User Preferences using Brainwaves"

BLINK

Codes and Dataset for the paper titled, "Blink: A Fully Automated Unsupervised Algorithm for Eye Blink Detection in EEG Signals"

EEG-Datasets

A list of all public EEG-datasets

scikit-learn-mooc

Machine learning in Python with scikit-learn MOOC

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

meta-analysis-statistical-tools

This repository describes and offers a module for running traditional meta-analysis of randomized controlled trials (RCT) and a systematic analysis of biases (SAOB), an approach meant to identify the individual contribution of methodological and technical biases to the intervention efficacy (see Bussalb et al., 2019).

PSSSD

A Robust Distance Measure for Similarity-based classification on the SPD Manifold

BCI_Cocktail

Program for determining which speaker a person is attending to using EEG data collected by the Muse 2 headset. This program uses a CCA + SVM pipeline for classification.

mctorch

A manifold optimization library for deep learning

ephypype

Neuropycon package of functions for electrophysiology analysis, can be used from graphpype and nipype

fromage

🧀 Pytorch code for the Fromage optimiser.

Realtime_PyAudio_FFT

Realtime audio analysis in Python, using PyAudio and Numpy to extract and visualize FFT features from streaming audio.

mikulan_et_al_2020

Simultaneous human intracerebral stimulation and HD-EEG: ground-truth for source localization methods - Scripts and usage demonstration