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2018_projects

Directory of Neurohackademy 2018 projects

academic-kickstart

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

altair

High-level declarative visualization library for Python

arviz

Exploratory analysis of Bayesian models with Python

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛

bayespy

Bayesian Python: Bayesian inference tools for Python

bda_course_aalto

Bayesian Data Analysis course at Aalto

bda_py_demos

Bayesian Data Analysis demos for Python

billbalance

Balance a communal bill across a group of people.

blog

brainsmash

Brain Surrogate Maps with Autocorrelated Spatial Heterogeneity

cmasher

Scientific colormaps for making accessible, informative and 'cmashing' plots

congrads

connectopy

d3-book

Code examples for “Interactive Data Visualization for the Web”

dcm2bids

Reorganising NIfTI files from dcm2niix into the Brain Imaging Data Structure

dcm2niix

dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

ddcrp

Bayesian non-parametric algorithm for clustering data based on the Chinese Restaurant Process.

deepimagerecon

derive

Generate personal heatmap from GPX/TCX/FIT data

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dipy

Diffusion MR Imaging in Python

dltk

Deep Learning Toolkit for Medical Image Analysis

dmd

Class to compute the dynamic mode decomposition of a dynamical system.

fieldmodel

fmcmc

A friendly MCMC framework

fragmenter

Fragments annotation and label files into parameterized number of clusters. Useful to feature extraction and generating null models of cortical maps.

gae

Implementation of Graph Auto-Encoders in TensorFlow