Software contributions
I'm involved into different open source software projects. I also focus on writing good documentation, unit tests and tutorials.
The GSPBox
The GSPBox (Graph Signal Processing toolbox) is a software based on spectral graph theory that allows efficient processing of signals living on graphs. It is easy to use, contains many state of the art algorithms and allows quick implementation of your own idea. A python release named Pygsp is also available.
DeepSphere
DeepSphere is a spherical convolutional neural network framework based on graph convolutional neural networks. It is freely available and well documented.
The UNLocBoX
The UNLocBoX is a convex optimization software using proximal splitting method that was originally launched with the UNLocX project. The original sofware is written in MATLAB, but a python subproject was born and named the PyUNLocBoX. This software contains a structure to solve convex problems that are very close to their mathematical formulation.
A reproducible research platform
The reproducible research platform is a website where all codes used in my research are posted. As suggested in the name, its purpose is to facilitate any researcher to reproduce my results and to use my algorithms.
Other software contributions
- Audio inpainting using sparsity prior (MATLAB)
- Download celebA HQPython script to download the celebA-HQ dataset from google drive
- Inception network demoPython script run the inception network with a webcam.
- LTFAT: The large time frequency analysis toolbox
- Mat2doc: A documentation system for matlab
- My GitHub profile