agramfort
Machine Learning researcher @ Meta Reality Labs, scikit-learn core dev, pythonista interested in neuroscience applications
MetaParis, France
Pinned Repositories
DS3_practical_optim_for_ml
Notebooks from DS3 course on practical optimization
scientific-python-intro-45mins
An intro presentation of scientific Python in 45 minutes
mne-features
MNE-Features software for extracting features from multivariate time series
mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
scikit-learn
scikit-learn: machine learning in Python
sphinx-gallery
Sphinx extension for automatic generation of an example gallery
agramfort's Repositories
agramfort/22_main_ml_meeg_tuto
agramfort/hiparis_ml_eeg
agramfort/mne-python
MNE scripting with Python
agramfort/liesse_telecom_paristech_python
Supports de cours Python de la formation LIESSE de Telecom ParisTech
agramfort/datacamp-master
Datacamp class for master student - 1 week
agramfort/mne-bids-pipeline
Template for a group study using the MNE Python software
agramfort/coffeine
M/EEG power regression library
agramfort/joblib
Python function as pipeline jobs.
agramfort/openmeeg
A C++ package for low-frequency bio-electromagnetism solving forward problems in the field of EEG and MEG.
agramfort/ramp-board
RAMP packages: database, backend, frontend, utilities
agramfort/agramfort.github.io
Source of my webpage
agramfort/autoreject
Automated rejection and repair of bad trials/sensors in M/EEG
agramfort/benchmark_jointdiag
Benchmark repository for Approximate Joint Diagonalization (AJD)
agramfort/benchmark_logreg_l2
Benchopt benchmark for L2-regularized Logistic Regression
agramfort/benchmark_nmf
agramfort/benchmark_zero_order
agramfort/benchOpt
agramfort/braindecode
agramfort/IOKR
agramfort/main-educational.github.io
website of the educational workshop of the Montreal Artificial Intelligence and Neuroscience (MAIN) conference
agramfort/mne-bids
MNE BIDS
agramfort/mne-bids-pipeline-config-files
Config files and reports of the MNE-BIDS-Pipeline
agramfort/mne-features
MNE-Features software for extracting features from multivariate time series
agramfort/mne-testing-data
Data for mne-python testing
agramfort/openmeeg_sample_data
OpenMEEG demo dataset with shell / bat / python scripts
agramfort/openmeeg_viz
Visualization code for OpenMEEG files
agramfort/pyRiemann
Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface
agramfort/qndiag
Quasi-Newton algorithm for joint-diagonalization
agramfort/results
BenchOpt benchmark results
agramfort/skada
Domain adaptation toolbox compatible with scikit-learn and pytorch