Main distributed codes

W2reg: Train neural networks classifiers (in PyTorch) with Wasserstein-2 regularization to reduce algorithmic bias in future predictions: https://github.com/lrisser/W2reg/

Gems-AI: Interpretability of black-box decision rules in A.I.: https://gems-ai.aniti.fr/ (granted by CNRS-Innovation)

uTIlzreg: Diffeomorphic registration of 3D images (see the Papers webpage for specific citations): https://sourceforge.net/projects/utilzreg/. Explanations about uTIlzreg are given here.

LargeGraphCenterEstimator: Barycenter esimation of observed events on large weighted graphs (citation): https://sourceforge.net/projects/largegraphcenterestimator/.

CORE-clustering: Scalable graph or variables clustering with interpretable decision rules (see the Papers webpage for specific citations): https://sourceforge.net/projects/core-clustering/files/ (pure C++ version and R version interfaced using Rcpp).

SlicerRegularizedFastMarching: Semi-interactive 3D image segmentation in Slicer3D https://github.com/AldrickF/SlicerRegularizedFastMarching (internship of Aldrick Faure -- Univ. Toulouse).

GeoShoot: GPU implementation in C++/OpenCL of the Geodesic shooting algorithm here for 3D medical images (internship of Alexandre Martin -- ENS Lyon): https://github.com/scalexm/GeoShoot.

CoordinatesLayout: Cytoscape App for the defintion of graph layouts with pre-defined coordinates (internship of Noémy Artigouha -- INSA Toulouse): http://apps.cytoscape.org/apps/coordinateslayout.

Sanssouci.python (Main developer: Pierre Neuvial): Post hoc inference via multiple testing https://github.com/pneuvial/sanssouci.python.

ImpecBrainSeg: Segmentation of MR brain images: https://sourceforge.net/projects/impecbrainseg/.

Disclaimer: These codes should be used for research purposes only.