Multi-omics factor analysis v2

Build and run containers leveraging NVIDIA GPUs

Machine Learning in NeuroImaging (MLNI) is a python package that performs various tasks using neuroimaging data.

Multi-Omics Factor Analysis

Combined cortical/subcortical atlases for xcp-d and qsiprep

《动手学大模型Dive into LLMs》系列编程实践教程

Data and code supporting Hansen et al., 2022 Nature Neuroscience "Mapping neurotransmitter systems to the structural and functional organization of the human neocortex"

This is the repository for the JuSpace toolbox allowing for cross-modal correlations between imaging data and positron emission tomography derived information

The plug-and-play, browser-accessible, containerised data analysis environment.

A suite of functions for reproducible causal mediation analyses

Code for FID/SE hybrid MRSI reconstruction

A game theoretic approach to explain the output of any machine learning model.

GLSL surface rendering source code. Compiled versions available from NITRC. Loads 3DS, CTM, DXF, FreeSurfer, GII (GIfTI), GTS, LWO2, MS3D, MZ3, NV (BrainNetViewer), OBJ, OFF, PLY, STL, VTK. Tractog…

Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.

个人中文简历 Latex 源码 https://hijiangtao.github.io/

⚠️ ARCHIVED — Moved to ggsegverse/ggsegHistorical

Single-level and multi-level mediation analyses for any kind of data, with bootstrap-based significance testing. Neuroimaging-oriented functions allow for mediation effect parametric mapping (mappi…

Software that functionally segments white matter connections to generate task-specific subcomponents of fiber bundles.

Comparative analysis of pairwise interactions in multivariate time series.

Highly Comparative Graph Analysis - Code for network phenotyping

Repository for the 2023 OHBM Hackathon

A beautiful, simple, clean, and responsive Jekyll theme for academics

PALM: Permutation Analysis of Linear Models

The interactive graphing library for Python ✨

Productive, portable, and performant GPU programming in Python.