TomDLT

TPT

Many practical links and some tutorials

alphacsc

Convolution dictionary learning for noisy signals using αCSC

benchmark_logreg_l2

Benchopt benchmark for L2-regularized Logistic Regression

benchOpt

Making your benchmark of optimization algorithms simple and open

celer

Fast solver for the Lasso, sparse Logisitic regression, and Multitask Lasso

Cole_2017

Analysis code used to create figures in Cole et al., 2017, J Neuro

grip

Preview GitHub Markdown files like Readme locally before committing them.

himalaya-1

Multiple-target linear models

matplotlib

matplotlib: plotting with Python

mlbench

distributed machine learning benchmark - a public benchmark of distributed ML solvers and frameworks

mne-python

MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

mne-sandbox

experimental mne-python code

nitime

Timeseries analysis for neuroscience data

pacpy

Calculate phase-amplitude coupling in Python (and Matlab).

pactools

Phase-amplitude coupling (PAC) toolbox

palettable

Color palettes for Python

pycortex

Pycortex is a python-based toolkit for surface visualization of fMRI data

realtimefmri

savate

Tools to save during exploratory research.

scikit-learn

scikit-learn: machine learning in Python

soft-dtw

Python implementation of soft-DTW.

statsmodels

Statsmodels: statistical modeling and econometrics in Python

tikreg

Tikhonov regression in python

TomDLT.github.io

voxelwise_tutorials-1

Voxelwise modeling tutorial from the Gallantlab.

wiki103