MICA-MNI
MICA-MNI
Multimodal Imaging and Conenctome Analysis Lab at the Montreal Neurological Institute.
Montreal
Raj Lab @ UCSF
Raj-Lab-UCSF
The Brain Networks Laboratory at UCSF is led by Dr. Ashish Raj, and focuses on applying network theory and computational tools to problems in neuroimaging.
San Francisco
Andrew Heiss
andrewheiss
Assistant professor at @aysps at GSU. Study philanthropy, nonprofits, authoritarianism, & legal restrictions on civil society. R + Stan + sometimes Python.
Georgia State University Atlanta, GA
Andrew Jahn
andrewjahn
Neuroimaging consultant, working primarily with AFNI, FSL, SPM, FreeSurfer, and MRtrix.
University of Michigan Ann Arbor, MI
Model Context Protocol
modelcontextprotocol
An open protocol that enables seamless integration between LLM applications and external data sources and tools.
Computational Brain Anatomy Laboratory
CoBrALab
Computational Brain Anatomy Laboratory, located in the CIC at the Douglas Institute, McGill University
Montreal, QC
Lifespan Informatics and Neuroimaging Center
PennLINC
The Lifespan Informatics and Neuroimaging Center at the University of Pennylvannia
Shuyi Wang
wshuyi
Associate Professor at Tianjin Normal University
Tianjin Normal University Tianjin
The Polygenic Score (PGS) Catalog
PGScatalog
Code repository for the Polygenic Score (PGS) Catalog, an open database of PGS and the relevant metadata needed to apply and evaluate them correctly
Cambridge, UK
Leon Lotter
LeonDLotter
Max Planck School of Cognition & HHU Düsseldorf Jülich, Düsseldorf, & Cologne, Germany
Open NeuroPET
openneuropet
Brain PET data sharing, data curation tools, processing pipelines, molecular templates
Dracula Theme
dracula
The most famous dark theme ever created and available everywhere.
Transylvania
Typst
typst
The new foundation for documents: Limitless power to write, create, and automate anything that you can fit on a page.
Berlin
Asciidoctor
asciidoctor
An open source publishing toolchain for the AsciiDoc writing format. Provides tools & extensions for converting AsciiDoc to HTML, DocBook, PDF, & other formats.
Iris Series 鸢尾花书
Visualize-ML
Iris Series: Math Made Easy and Visual. Code, See, Learn. Visualize math using Python. ~8,000 vector graphics. Cover Topics from arithmetic to machine learning.
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