erikglee

erikglee's Stars

• DiedrichsenLab/fs_LR_32

  Standard human cortical surface-based template for neuroimaging analyses (Freesurfer, left-right-symmetric, ~32k vertices) v

  Language:Ruby362

• DCAN-Labs/HBCD-MADE

  HBCD branch of the MADE pipeline for EEG preprocessing

  Language:MATLAB33

• SCAN-NRAD/e3nn_Unet

  Language:Python25

• batmanlab/BayesComBat

  Harmonization of brain imaging features using bayesian inference

  Language:Python132

• conormdurkan/neural-statistician

  PyTorch Implementation of Neural Statistician

  Language:Python6012

• bgse-datascience-group8/Statistical-Modelling-and-Inference

  Language:HTML1819

• niivue/niivue

  a WebGL2 based medical image viewer. Supports over 30 formats of volumes and meshes.

  Language:TypeScript27566

• roxana-zeraati/abcTau

  a Python package for unbiased estimation of timescales and hypothesis testing

  Language:Jupyter Notebook266

• likeajumprope/Bayesian_normative_models

  Code & instructions to the paper "Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models", published in NeuroImage

  Language:Stan101

• mrahim/posce

  Language:Python42

• pactools/pactools

  Phase-amplitude coupling (PAC) toolbox

  Language:Python9035

• MICA-MNI/ENIGMA

  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. 🤠

  Language:Python13332

• amarquand/PCNtoolkit

  Toolbox for normative modelling and spatial inference of neuroimaging data. https://pcntoolkit.readthedocs.io/en/latest/

  Language:Python11750

• ha-ha-ha-han/UKBiobank_deep_pretrain

  Pretrained neural networks for UK Biobank brain MRI images. SFCN, 3D-ResNet etc.

  Language:Jupyter Notebook13636

• ritchieng/the-incredible-pytorch

  The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

  11.6k2.1k

• poldrack/pytest_tutorial

  simple pytest tutorial

  Language:Python6625

• neurohackademy/nh2020-curriculum

  Materials for NH2020

  Language:Jupyter Notebook9448

• geomstats/geomstats

  Computations and statistics on manifolds with geometric structures.

  Language:Python1.3k251

• mvlearn/mvlearn

  Python package for multi-view machine learning

  Language:Python20721

• sktime/sktime

  A unified framework for machine learning with time series

  Language:Python8k1.4k

• icometrix/dicom2nifti

  Language:Python34679

• netneurolab/abagen

  A toolbox for working with Allen Human Brain Atlas microarray expression data

  Language:Python113

• K3D-tools/K3D-jupyter

  K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK.

  Language:Python957121

• Washington-University/HCPpipelines

  Processing pipelines for the HCP

  Language:Shell546272