mnoergaard Goto Github PK
Name: Martin Norgaard
Type: User
Bio: Assistant Professor @ University of Copenhagen, Department of Computer Science; interested in neuroimaging, data sharing, statistics and preprocessing.
Twitter: martinnorgaard_
Name: Martin Norgaard
Type: User
Bio: Assistant Professor @ University of Copenhagen, Department of Computer Science; interested in neuroimaging, data sharing, statistics and preprocessing.
Twitter: martinnorgaard_
A set of BIDS compatible datasets with empty raw data files that can be used for writing lightweight software tests.
MATLAB / Octave tools for BIDS datasets
Brain Imaging Data Structure (BIDS) Specification
Validator for the Brain Imaging Data Structure
A PET BIDS blood-processing tool
A prototype web-app for a checklist for PET methods reporting
dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC
Open-source eddy-current and head-motion correction for dMRI.
The ENIGMA Toolbox is an open-source repository for accessing 100+ ENIGMA statistical maps, visualizing cortical and subcortical surface data, and relating neuroimaging findings to micro- and macroscale brain organization. 🤠
BIDS app to perform PET motion correction of dynamic data
This is the repository for the JuSpace toolbox allowing for cross-modal correlations between imaging data and positron emission tomography derived information
Workflows and interfaces for neuroimaging packages
Common workflows for MRI (anatomical, functional, diffusion, etc)
PETPrep head motion correction workflow
Poldracklab guide
Guide to open science practices for psychology
Python tools for querying and manipulating BIDS datasets.
Pydra Dataflow Engine
Python Data Science Handbook: full text in Jupyter Notebooks
A heavily modified version of PETPrep to process rates of cerebral protein synthesis (rCPS) data from four NIMH studies.
scikit-learn-mooc
Core statistical text for Statistical Thinking in the 21st Century
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.