mdeff

Michaël Defferrard's repositories

fma

FMA: A Dataset For Music Analysis

Language:Jupyter NotebookMIT2465 60 61

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Language:Jupyter NotebookMIT1363 43 54

ntds_2016

Material for the EPFL master course "A Network Tour of Data Science", edition 2016.

Language:Jupyter NotebookMIT99 190

pygsp_tutorial_graphsip

Graph signal processing tutorial, presented at the GraphSiP summer school.

Language:Jupyter NotebookMIT77 4 1

ntds_2019

Material for the EPFL master course "A Network Tour of Data Science", edition 2019.

Language:Jupyter NotebookNOASSERTION69 8 6

ntds_2017

Material for the EPFL master course "A Network Tour of Data Science", edition 2017.

Language:Jupyter NotebookMIT66 12 1

ntds_2018

Material for the EPFL master course "A Network Tour of Data Science", edition 2018.

Language:Jupyter NotebookNOASSERTION59 130

python_tour_of_data_science

A Python Tour of Data Science

Language:Jupyter NotebookMIT30 70

dlaudio

Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (code)

Language:Jupyter NotebookMIT16 40

giin

Graph-based Image Inpainting

Language:MATLABMIT14 2 2

learning-from-graphs-webconf2021

Learning from Graphs: From Mathematical Principles to Practical Tools

Language:MakefileMIT11 20

dotfiles

my dotfiles

Language:ShellMIT9 20

atcsim

Air Traffic Control simulation, a C++11 learning experience

Language:C++MIT8 30

paper-cnn-graph-recurrent-iclr2017

Structured Sequence Modeling with Graph Convolutional Recurrent Networks

Language:TeXCC-BY-4.07 30

terrain

OpenGL generated scene

Language:C++MIT7 30

dlaudio_report

Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (report)

Language:TeXCC-BY-4.06 20

saga

Mini-batch and distributed SAGA

Language:TeXMIT6 40

paper-fma-challenge-webconf2018

Learning to Recognize Musical Genre from Audio, Challenge Overview

Language:TeXCC-BY-4.04 40

srfsp

Super-resolution for mass spectrometry

Language:PythonMIT3 20

dlaudio_results

Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (results)

Language:Jupyter NotebookMIT2 20

paper-cheblienet

ChebLieNet: Invariant spectral graph NNs turned equivariant by Riemannian geometry on Lie groups

Language:TeXCC-BY-4.02 20

paper-fma-ismir2017

FMA: A Dataset For Music Analysis

Language:TeXCC-BY-4.02 30

cv

Curriculum Vitae

Language:TeXCC-BY-4.01 20

gsp-summer-school-2016

Organization of a Graph Signal Processing Summer School

Language:TeXCC-BY-4.01 20

homepage

https://deff.ch

Language:HTMLCC-BY-4.0100

paper-cnn-graph-nips2016

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Language:HTMLCC-BY-4.01 30

paper-cryoem-orientation-recovery

Learning to recover orientations from projections in single-particle cryo-EM

Language:Jupyter NotebookCC-BY-4.01 20

pixi

Package management made easy

BSD-3-Clause000

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

NOASSERTION000