hichamjanati/PHD-filter

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Updated over 7 years ago

hichamjanati/PHD-filter

hichamjanati

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Implementation of the multi-target tracker filter of (Vo et al., 2005).

pyldpc

Creation of LDPC codes & simulation of coding and decoding binary data. Applications to sound and image files.

srf

Random Fourier Features

Jupyter Notebook

spatio-temporal-alignements

Spatio-temporal alignements: Optimal transport in space and time

mutar

Multi-task regression in Python

debiased-ot-barycenters

Entropic-OT-gaussians

Closed form Entropic OT for balanced and unbalanced Gaussians

mtw

Wasserstein regularization for sparse multi-task regression

groupmne

Multi-subject MEG and EEG source localization with MNE

EM-Spark

Gaussian mixture models EM algorithm written with pySpark.

Jupyter Notebook

lasso_numba

Lasso - numba vs cython

Jupyter Notebook

mwe

Minimum Wasserstein Estimates - IPMI 2019

Cam-CAN-preprocessing

Preprocessing of Cam-CAN's MEG/EEG data

Introduction-to-scikit-learn

Introduction to scikit-learn: classification of facial expressions using AMFED dataset by (Daniel McDuff et al., 2013).

hichamjanati.github.io

Personal webpage.

neuroimage-multi-subject-2020

Multi-subject M-EEG source imaging with Python

unbalanced-ot

Unbalanced Wasserstein distance introduced by Chizat et al., 2015