pierreablin

picard

Preconditioned ICA for Real Data

autoptim

Automatic differentiation + optimization

qndiag

Quasi-Newton algorithm for joint-diagonalization

faster-ica

Several maximum likelihood ICA algorithms, including Picard

adversarial_example

A simple adversarial attack on a linear model

ksddescent

Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities

landing

tlnmf

Transform Learning for NMF

python-sessions

mmica

Stochastic algorithms for ICA

smica

pierreablin.github.io

agramfort.github.io

Source of my webpage

benchmark_bilevel

Benchmark for bi-level optimization solvers

benchmark_jointdiag

Benchmark repository for Approximate Joint Diagonalization (AJD)

benchmark_linear_ica

Benchopt benchmark for linear ICA

benchopt

Making your benchmark of optimization algorithms simple and open

conjugategradient

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

figure

joblib

Python function as pipeline jobs.

mm-ica

mne-hcp

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

mne-python

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

mvlearn

Python package for multi-view machine learning

ott

Optimal Transport tools implemented with the JAX framework, to get auto-diff, parallel and jit-able computations.

Repo_8-11_seminar

Github repo for the 8-11 seminar

scikit-learn

scikit-learn: machine learning in Python

template_benchmark

test_package