This is a complete Matlab toolbox (including multi-threaded C/C++-mex code) for diffusion MRI processing: http://www.lpi.tel.uva.es/dmrilab

Neuroimaging analysis and visualization suite

Brain Segmentation with MONAI and Dynamic Unet (nn-unet)

LMFD: Latent Monotonic Feature Discovery

DL tool for white matter hyperintensities segmentation

Newer version of the KDEEBM code

Useful tools from the Network Neuroscience Lab

Code for magnetic susceptibility source separation

Project your functional brain signal onto the white matter, and explore the pathways supporting brain functions.

NiGSP: a module for graph signal processing on neuroimaging data

A framework for few-shot evaluation of language models.

Toolbox for quantifying phase transitions in neural data

MATLAB Functions for computing two measures of spatial correlation: Moran's I, a measure of spatial autocorrelation, and the Mantel test, a correlation between physical distance and feature distance

The module allows to compute the Perturbational Complexity (LZ) of Casarotto et al. 2016 (Casarotto S, Comanducci A, Rosanova M, Sarasso S, Fecchio M, Napolitani M, et al. Stratification of unrespo…

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 |

For calculating exact geodesic distances on cortical surface meshes

Higher-Order Interactions

Python package for computation of magnetic fields of magnets, currents and moments.

Use OpenAI GPTs for Free: https://gptcall.net/

simDRIFT - A software package for massively parallel forward simulation of Pulsed Gradient Spin Echo diffusion weighted MRI experiments on biophysically accurate tissue systems.

A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin

Streamlit Component to quickly create Interactive Flow Diagrams using React Flow

Framework to build a custom no-code platform. Comes with a Flow Based programming env and a GUI.

Large Language & Foundation Models for Time Series.

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.