llevitis Goto Github PK

abannotate

A toolbox for ensemble-based multimodal gene-category enrichment analysis of human neuroimaging data

airspace-jekyll

A port of the Airspace theme by ThemeFisher to Jekyll.

ann4brains

Artificial neural networks for brain networks

appian

APPIAN is an open-source automated software pipeline for analyzing PET images in conjunction with MRI. The goal of APPIAN is to make PET tracer kinetic data analysis easy for users with moderate computing skills and to facilitate reproducible research.

bitcoin

Bitcoin Core integration/staging tree

brain-web.github.io

A permanent online space for the community to meet&matcha, work&watermelon, catch up&coffee.

brainconn

A Python implementation of the brain connectivity toolbox.

brainhack_jupyter_book

A Jupyter Book of everything Brainhack: past, present and future.

brainsforpublication

Code and documentation for the Brains for Publication proposal for the 2016 OHBM Hackathon

brainspace

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 |

clinica

Software platform for clinical neuroimaging studies.

comp0088labs

Lab exercises for COMP0088 Introduction to Machine Learning

connectome-embeddings

course

Talks and materials for workshops based on the DataLad handbook

coursera-machine-learning-1

Coursera's Machine Learning by Andrew Ng

creativity_study

This repository contains code used for a project studying personality and creativity measures associated with distinct navigation strategies.

curriculum

The curriculum of Techtonica, a free tech training and job placement program for women and non-binary adults with low incomes.

cv

my curriculum vitae

data_driven_pathology

Scripts for using data driven methods to describe spatio-temporal pathological features

dcm2bids

Reorganising NIfTI files from dcm2niix into the Brain Imaging Data Structure

deep-graphs

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-mri-qc

This project is trained on private MRI data, where scans are marked QC_PASS or QC_FAIL. Several architectures of neural networks are explored to make automatic predictions for new images.

deep-neurons

Deep Learning for automatic segmentation and classification of individual neurons in high-resolution histological scans.

dian

dian_esm_amyloidbeta_project

Epidemic Spreading Modelling of Amyloid Beta in the Dominantly Inherited Alzheimer's Network dataset

dicat

Tool to anonymize DICOM data headers.

dltk

Deep Learning Toolkit for Medical Image Analysis

eda_organized

BrainHack 2020 good coding practices in MATLAB and Octave

electrum

Electrum; Bitcoin thin client