hugofluhr Goto Github PK

bayesian_stats_course

cogmodelingrnnstutorial

color_palette

Code to generate color palettes from images

connectome_spectral_analysis

Repository for paper https://authors.elsevier.com/sd/article/S1053-8119(21)00884-3

course-content

NMA Computational Neuroscience course

deeplabcut

Markerless pose estimation of user-defined features with deep learning for all animals

diagnostics-lemanics

disentangled_rnns

dotfiles

My global configuration files

first-pull-request

git exercise for nipraxis course

gsp_neuro

idb403_toblerlab_yc

Repository for the study "Characterizing habit learning in the human brain at the individual and group levels: a multi-modal MRI study" (Gera et al.)

learning-habits-analysis

mbeautifier

MBeautifier is a MATLAB source code formatter, beautifier. It can be used directly in the MATLAB Editor and it is configurable.

mikulan_et_al_2020

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

ml_course

EPFL Machine Learning Course, Fall 2019

networkmachinelearning_2023

neuronaldynamics-exercises

Python exercises accompanying the book "Neuronal Dynamics"

nigsp

NiGSP: a module for graph signal processing on neuroimaging data

nml2023

my code for the Network Machine Learning courses

ntds_2018

Material for the EPFL master course "A Network Tour of Data Science", edition 2018.

piriform-cortex-diversity

Diversity of piriform cortex neuron

precourse

A repo for the pre-course work at home exercises

pycsou

Pycsou is a Python 3 package for solving linear inverse problems with state-of-the-art proximal algorithms. The software implements in a highly modular way the main building blocks -cost functionals, penalty terms and linear operators- of generic penalised convex optimisation problems.

pygsp

Graph Signal Processing in Python

pysgwt

Spectral Graph Wavelet Transform

qkay

Manager for the quality assessment of large neuroimaging studies

reversal_learning_task

Repo for the Scientific Programming course task

rnn-cogsci2021

rptask_dataio