36 skills found · Page 1 of 2
nilearn / NilearnMachine learning for NeuroImaging in Python
dPys / PyNetsA Reproducible Workflow for Structural and Functional Connectome Ensemble Learning
raamana / NeuropredictEasy and comprehensive assessment of predictive power, with support for neuroimaging features
KamalakerDadi / Benchmark RsfMRI PredictionMinimal scripts available for predictions on multiple datasets
rmldj / Hcp UtilsUtilities to use HCP and HCP-like data with nilearn and other Python tools
carpentries-incubator / SDC BIDS FMRIfMRI Imaging Analysis
brainhack-school2020 / Abide FmriRepository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
FL33TW00D / RustDTWPython extension backed by a multi-threaded Rust implementation of Dynamic Time Warping (DTW).
kfinc / Nilearn Task NetworksTutorials for task-based activation and network analysis using Python based modules: Nilearn and Nistats. Notebooks prepared on Neurohackademy 2018 (http://neurohackademy.org/).
PeerHerholz / Workshop WeizmannThe repository for the "MRI analysis in Python using Nipype, Nilearn and more” at The Azrieli National Institute for Human Brain Imaging and Research.
DiedrichsenLab / NitoolsBasic Neuroimaging functions - stuff missing from nibabel and nilearn
mrahim / Nilearn TutorialsNilearn tutorials for OHBM 2016 educational course
mick-d / Introml Sklearn NilearnFiles required to follow along the introduction session to machine learning with sklearn and nilearn
main-educational / Intro NilearnIntroduction to neuroimaging machine learning tool Nilearn
brainhack-school2020 / Stong3 FMRI ProcessingfMRI pre-processing project using fMRIPrep, Nilearn on a HPC server.
brainhack101 / IntroMLLanding page for scikit learn and nilearn tutorials, originally curated for MAIN 2018 conference
KamalakerDadi / TutorialNilearn tutorials on Neuroimaging data
chenfei-ye / BIDS FMRIpostBIDS-fmripost is developed based on nilearn, aiming to do basic fMRI data post-process after fMRIPrep . Main functions include: denoise, including confound regression and spatial smoothing BOLD signal extraction functional connectivity (FC) network creation
john-veillette / Niseqgroup sequential tests for neuroimaging
Joaoloula / Nilearn Tutorial Brainhack 2016 ViennaNilearn tutorial for brainhack 2016 at Vienna
