Matthias Ekman (mekman)

mekman

Geek Repo

Company:Donders Institute

Location:Nijmegen, The Netherlands

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Matthias Ekman's repositories

pRF

Population receptive field (pRF) code

nigraph

Graph analyses on NeuroImaging data

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recon

pRF-based stimulus reconstruction

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DABEST-python

Data Analysis with Bootstrapped ESTimation

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Grokking-Deep-Learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

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academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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atom-one-dark-terminal

A Terminal theme that mimics the One Dark theme made by the Atom team.

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bids-starter-kit

Collection of tutorials, wikis, and templates to get you started with creating BIDS compliant datasets

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calendar-heatmap

Calendar heatmap with matplotlib and random data

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dashboard

The dashboard is for automated testing and quality control

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DeepImageReconstruction

Data and code for Shen, Horikawa, Majima, and Kamitani (2019) Deep image reconstruction from human brain activity. PLoS Comput. Biol. http://dx.doi.org/10.1371/journal.pcbi.1006633.

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gpxpy

gpx-py is a python GPX parser. GPX (GPS eXchange Format) is an XML based file format for GPS tracks.

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hpc-wiki-v2

The HPC wiki written in reStructuredText and hosted on ReadTheDocs

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mr-to-pct

MR to CT for TUS acoustic simulations

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NHP-BIDS

Code and manually created masks for NHP CurveTracing (CorticAlgorithms) project using NiPype and the BIDS format.

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niimath

niimath - a clone of fslmaths

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nilearn

Machine learning for NeuroImaging in Python

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NMT

NIMH Macaque Template

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petra-to-ct

MATLAB toolbox for converting PETRA and ZTE images to pseudo-CT images

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PRESTUS

PREprocessing & Simulations for Transcranial Ultrasound Stimulation package

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PRML

PRML algorithms implemented in Python

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PyMVPA

MultiVariate Pattern Analysis in Python

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python-garminconnect

Python 3 API wrapper for Garmin Connect to get activity statistics

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sktime

A scikit-learn compatible Python toolbox for machine learning with time series

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staff-scientists

The consultancy page for the DCCN staff scientists

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TAFKAP

(Matlab) code for the probabilistic brain decoding algorithms "PRINCE" and "The Algorithm Formerly Known As Prince"

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