Gianpaolo Demarchi's repositories
repotoforkforteaching
Short dummy repo used for teaching purposes
onedrive
#1 Free OneDrive Client for Linux
MVPA-Light
Light-weight Matlab toolbox for multivariate pattern analysis (MVPA)
psych10-book
Source files for Statistical Thinking For the 21st Century
fieldtrip
The MATLAB toolbox for MEG, EEG and iEEG analysis
dotfiles
:wrench: .files, including ~/.macos — sensible hacker defaults for macOS
Quinn2019_BurstHMM
Transient event detection with Hidden Markov Models
o_ptb_tutorial
OPTB tutorial at the retreat
retreat_tutorial
as the name says
ThinkJulia.jl
Port of the book Think Python to the Julia programming language
omissionMarkov
Code for the paper "Automatic and feature-specific prediction-related neural activity in the human auditory system"
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
every-data-scientist-should-know
A collection of (mostly) technical things every data scientist should know - `s/programmer/data-scientist/g` of every-programmer-should-know by @mtdvio
usb-2-10-100m-ethernet-adapter-rd9700
Installation of "USB 2.0 10/100M Ethernet Adapter" (model QTS1081B 9700) (Corechip RD9700) in Apple macOS High Sierra
buffer_bci
Simple Matlab/Octave based framework for building Brain Computer/Machine Interfaces (BCI/BMI)s
Rep-Res-Book
Source code files for the book Reproducible Research with R/RStudio
CheatSheet
Repository for the cheatsheet and R code for generating the examples displayed.
gdemarchi.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
nw_stream_ft2mne
Pass fieldtrip structures to MNE and back.
MDtest
testing MD
gdemarchi.github.io-old
Landing Page / Home Page
knitr-examples
A collection of knitr examples
statistics-for-data-scientists
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
RISE
RISE: "Live" Reveal.js Jupyter/IPython Slideshow Extension