Paris

Hicham Janati

Expert
@hichamjanati

Associate professor @ INSEA & Télécom Paris. Doing: Machine learning & Optimal transport

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

143

spatio-temporal-alignements. Spatio-temporal alignements: Optimal transport in space and time

50

srf. Random Fourier Features

50

mutar. Multi-task regression in Python

25

debiased-ot-barycenters. Python

24

Entropic-OT-gaussians. Closed form Entropic OT for balanced and unbalanced Gaussians

17

mtw. Wasserstein regularization for sparse multi-task regression

15

groupmne. Multi-subject MEG and EEG source localization with MNE

10

EM-Spark. Gaussian mixture models EM algorithm written with pySpark.

4

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

3

Cam-CAN-preprocessing. Preprocessing of Cam-CAN's MEG/EEG data

2

neuroimage-multi-subject-2020. Multi-subject M-EEG source imaging with Python

2

mwe. Minimum Wasserstein Estimates - IPMI 2019

2

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

2

lasso_numba. Lasso - numba vs cython

2

meg. source localisation of MEG signal

1

soft-dtw. Python implementation of soft-DTW.

1

eeg. generates eeg data

1

unbalanced-ot. Unbalanced Wasserstein distance introduced by Chizat et al., 2015

1

Sinkhorn-Barycenters. Sinkhorn Barycenters via Frank-Wolfe algorithm

1

hichamjanati.github.io. Personal webpage.

1

Project-NLP-2025. Intro to ML / NLP with spam detection dataset

1
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