marcellamontagnese Goto Github PK
Name: Marcella Montagnese
Type: User
Bio: Neuroscientist working on AI for dementia. Expertise: neuroimaging, networks neuroscience, ML, computational psychiatry, Python, Federated Learning
Twitter: m_montagnese
Name: Marcella Montagnese
Type: User
Bio: Neuroscientist working on AI for dementia. Expertise: neuroimaging, networks neuroscience, ML, computational psychiatry, Python, Federated Learning
Twitter: m_montagnese
Collection of tools and resources for managing the statistical disclosure control of trained machine learning models
Airspace theme (Hugo version)
Examples of how to create colorful, annotated equations in Latex using Tikz.
This repo includes ChatGPT promt curation to use ChatGPT better.
Google Cloud Platform Certification resources.
A curated list of awesome ggplot2 tutorials, packages etc.
A curated list of awesome Machine Learning frameworks, libraries and software.
Collection of tutorials, wikis, and templates to get you started with creating BIDS compliant datasets
A GPT for brain activity maps
Software for generating a brain-predicted age value, using Gaussian Processes regression, implemented in R
Brainconn - an R package for visualising brain connectivity data in 2D and interactive 3D
A Jupyter Book of everything Brainhack: past, present and future.
Code and documentation for the Brains for Publication proposal for the 2016 OHBM Hackathon
BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |
Fast and easy visualization of fMRI data quality using carpet plots.
Introduction to linear mixed models
Tutorial to use (new version of) clinicadl (>1.0.3)
Website for the PASSIAN Project
Summer course content for Neuromatch Academy
Full Stack Deep Learning Online Course
Tutorial papers and dataset illustrating group connectivity analysis with DCM and PEB
Reorganising NIfTI files from dcm2niix into the Brain Imaging Data Structure
dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
A repository for compiling materials from tutorials given at the eScience Institute.
Example from Accelerate Science Winter School 2022
Repository for external libraries
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.