mengwang024 Goto Github PK

ac-pca

AC-PCA: simultaneously performs dimension reduction and adjustment for confounding variation

autism

Data Challenge on Autism Spectrum Disorder detection

autism-figures

bctpy

brain connectivity toolbox for python

braingraph

Graph theory analysis of brain MRI data

brainiak

Brain Imaging Analysis Kit

cbig

cerebellum_gradients

Github repository for cerebellum gradients project

gradient_analysis

mapalign

Diffusion map based embedding and alignment

multipy

Multiple hypothesis testing in Python

nbs-correlation

Python implementation of Network-based statistic for correlation testing

neurosynth

Neurosynth core tools

nilearn

Machine learning for NeuroImaging in Python

nimfa

Nimfa: Nonnegative matrix factorization in Python

nistats

Modeling and statistical inference on fMRI data in Python

noisy-channel-simulator

A simple python simulator to compare efficiency of different kinds of hamming coding in noisy channels

pa2-spell-corrector

CS 276 - Programming Assignment 2

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

psych10-book

Source files for Statistical Thinking For the 21st Century

pygam

[HELP REQUESTED] Generalized Additive Models in Python

pyrcca

Regularized kernel canonical correlation analysis in Python

pysurfer

Cortical neuroimaging visualization in Python

python-packaging

Tutorial on how to structure Python packages

shared-molecular-neuropathology-across-major-psychiatric-disorders-parallels-polygenic-overlap

spell-check

Spelling Correction using Noisy Channel Models

statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

surfaceplotting

Unified framework for surface visualization

surfdist

For calculating exact geodesic distances on cortical surface meshes

thinkstats

Statistical Thinking for the 21st Century