Luke Chang's repositories
dartbrains
This repository is a Python package with all of the functions and python libraries required for the Dartmouth fMRI Analysis Course taught by Prof Luke Chang, PhD.
CosanlabToolbox
General Analysis Functions
Analyzing_Neural_Time_Series
python implementations of Analyzing Neural Time Series Textbook
ndap-fa2018
neuro data analysis in python
nipype_tutorial
Learn Nipype with these tutorial notebooks - go here to see them online -->
pyneurovault_upload
Python library for interfacing with http://neurovault.org upload API
bids2nda
A conversion tool for creating NDA compatible metadata representation from BIDS datasets.
centerforopenneuroscience.org
Website materials
cookiecutter-pypackage
Cookiecutter template for a Python package.
hypertools
A Python toolbox for gaining geometric insights into high-dimensional data
introduction-to-python
A brief overview of the Python programming language.
MR_Physics
Repository to build a prototype of an interactive MR physics simulator. based on Lars Hansons CompassMR and Block-Simulator (https://github.com/larsh957/Bloch-Simulator)
MVPAemoDys_Analyses
Mega-analysis on the expression of neural emotion signatures in women with dysregulation and healthy controls. Contains derivative data and scripts to reproduce main analyses.
neurosynth
NeuroSynth core tools
nilearn
Machine learning for NeuroImaging in Python
openbeacon-ng
OpenBeacon.org Active 2.4 GHz RFID tracking for nRF51822
paper-reviewer-matcher
Linear programming solver for paper-reviewer matching and mind-matching
preprocessingfNIRS
UCLA SCN lab preprocessing function for fNIRS data, collected with NIRx
pycwt
Continuous wavelet transform module for Python. Includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. This module references to the numpy, scipy and pylab Python packages.
pyneurovault
python wrapper for NeuroVault api (in dev)
tensorly
TensorLy: Tensor Learning in Python.