Alexandre Gramfort

clone from agramfort of scikit-learn: machine learning in Python

MNE scripting with Python

Sphinx extension for automatic generation of an example gallery

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Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

Introduction to Scikit-Learn and Pandas

Materials for MNE tutorials at Practical MEEG workshop Paris 2019

Notebooks from DS3 course on practical optimization

Slides for MNE talk at Scipy Conf. 2017

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Material my mooc on Python at Télécom ParisTech

Material of talk at blendwebmix 2017

Mixed-norms and Hierarchical Bayesian models for the M/EEG inverse problem

An intro presentation of scientific Python in 45 minutes

mesh_*.m functions to work with triangulated surfaces in Matlab

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MNE Talk Materials for Sapien Labs Symposium 2019

Supports de cours Python de la formation LIESSE de Telecom ParisTech

MNE and BIDS Tutorial at CuttingEEG workshop 2021

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A demo of cython

Command line tool to check notebooks (ie linter for notebooks)

Include 3D triangular meshes to a pdf from matlab

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Datacamp class for master student - 1 week

Dev clone of https://bitbucket.org/ianb/tempita

Template for a group study using the MNE Python software

Voila Jupyter Apps made using MNE

Eeglab plugin of my IEEE Paper in Trans. on Biomedical Engineering

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Proximal algorithms made easy in Python

Neuroimaging in python

Notes used to give tutorials (for example at Euroscipy 2010/2011)

Code repository for emg2pose dataset and model benchmarks

Group analysis demo with MNE

Assignement for Datacamp on pandas.

M/EEG power regression library

M/EEG brain age benchmark paper

RAMP packages: database, backend, frontend, utilities

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A Tiny, Pure Python implementation of Gradient Boosted Trees.

The MATLAB software toolbox for MEG and EEG analysis

Machine learning for NeuroImaging in Python

IPython notebooks for EEG/MEG data processing using mne-python

The missing package manager for OS X.

Tracking brain activations on cortical mesh

A C++ package for low-frequency bio-electromagnetism solving forward problems in the field of EEG and MEG.

Python package to access a cacophony of neuro-imaging file formats

A scikit for signal processing

Proposal for a summer school in reproducible research in Python, Summer 2012

Python tools for Freesurfer

Timeseries analysis for neuroscience data

Python function as pipeline jobs.

MNE scripting with Matlab

Pipelines and interfaces for neuroimaging packages

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

Preconditioned ICA for Real Data

A unified interface to convert EMG data from various systems to EDF/BDF

Brain-Computer Interface, ADS1299 and STM32

Source of my webpage

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Company revenue prediction using French Attribution Notices

Domain adaptation toolbox compatible with scikit-learn and pytorch

Simulation-based inference in PyTorch

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website of the educational workshop of the Montreal Artificial Intelligence and Neuroscience (MAIN) conference

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BenchOpt benchmark results

Config files and reports of the MNE-BIDS-Pipeline

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Bernoulli Gaussian Toolbox

Flask mail system for sending mails(individual, bulk) ,attachments(individual, bulk) fully asynchronously.

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OpenMEEG demo dataset with shell / bat / python scripts

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Public presentations source file

Repository with the code of "HNPE: Leveraging Global Parameters for Neural Posterior Estimation"

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benchmarking of multi task lasso solvers

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Benchopt benchmark for Quantile Regression

Benchopt benchmark for linear ICA

Convolution dictionary learning for time-series

HiDimStat: High-dimensional statistical inference tool for Python

Preprocessing of Cam-CAN's MEG/EEG data

Pollenating insects (third) RAMP starting kit

Benchopt benchmark for Ordinary Least Square

Benchopt benchmark for Non-negative Least Square

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Benchopt benchmark for Sparse Logistic Regression

Benchopt Benchmark for SVM for binary classification

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Benchopt benchmark for L2-regularized Logistic Regression

Wavelet based multifractal analysis of 1D signals

Benchmark repository for Approximate Joint Diagonalization (AJD)

Experiments for "Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and Signals"

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Spatio-temporal alignements: Optimal transport in space and time

Enhancement proposals for scikit-learn: structured discussions and rational for large additions and modifications

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Pure Python implementation of the BIRD algorithm for (structured)-sparsity based denoising of multichannel array

Benchopt benchmark for Lasso

Links and notes for SciPy 2017

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Python package for multi-view machine learning

source localisation of MEG signal

Extends unittest.TestCase such that assertions support PyTorch tensors and parameters.

MultiViewICA: Modeling shared sources

Cam-CAN to BIDS conversion via MNE-Python

RAMP starting kit on the human locomotion data set

Python Optimal Transport library

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Modeling and statistical inference on fMRI data in Python

Classification of variable stars from light curves

Covertype RAMP kit

A sample brainlife app that uses EEG data (fif)

Multi-subject MEG and EEG source localization with MNE

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

Teaching materials for MNE training session at MEG Nord 2019 Workshop

Bibtex parser for Python 2.7 and 3.3 or newer

Aston Beamformer Workshop

Quasi-Newton algorithm for joint-diagonalization

Air passengers RAMP starting kit

A set of BIDS compatible datasets with empty nifti files that can be used for testing software.

Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology

Schedule and resources from the OHBM Open Science Room: Singapore 2018

MNE-Features software for extracting features from multivariate time series

Fast solver for the Lasso

MNE BIDS

A conda-smithy repository for libmatio.

Data for mne-python testing

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Toolkit for building predictive workflows on the top of pandas and scikit-learn.

California rainfall forecasting RAMP starting kit (test)

skope-rules: machine learning with logical rules in Python

Several maximum likelihood ICA algorithms, including Picard

:beer::microscope: Scientific formulae for the Homebrew package manager

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OpenMEEG web site

Boston housing price regression

Iris classification

Preprocessing scripts for neuro imaging

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Phase-amplitude coupling (PAC) toolbox

MNE-HCP for processing the Human Connectome Project MEG data using MNE-Python

Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller

Website and ideas page for Python's Google Summer of Code efforts

Automated rejection and repair of bad trials/sensors in M/EEG

A set of example datasets

Visualization code for OpenMEEG files

experimental mne-python code

clone of matio lib used in OpenMEEG

Citing software and how to measure it.

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Scikit-learn compatible tools using theano

a test for scikit's asgd

This is an OpenMEEG super project which is meant to simplify the contrib stuff...

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Teaching material on Python for the Software Carpentry bootcamp at Telecom ParisTech, Paris, 2013

Sample scripts based on MNE

A Python Implementation of Greedy Algorithms developped during my PhD

Some ranking algorithms in Python