Tom Dupré la Tour

scikit-learn: machine learning in Python

Making your benchmark of optimization algorithms simple and open

Convolution dictionary learning for noisy signals using αCSC

Many practical links and some tutorials

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

Phase-amplitude coupling (PAC) toolbox

Voxelwise modeling tutorial from the Gallantlab.

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

Timeseries analysis for neuroscience data

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Benchopt benchmark for L2-regularized Logistic Regression

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

Multiple-target linear models

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

Tikhonov regression in python

Color palettes for Python

Tools to save during exploratory research.

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

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

Preview GitHub Markdown files like Readme locally before committing them.

Python implementation of soft-DTW.

matplotlib: plotting with Python

Statsmodels: statistical modeling and econometrics in Python

experimental mne-python code