Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists by manoskary
A curated list of projects in awesome lists by manoskary .
https://github.com/manoskary/graphmuse
A Graph Deep Learning Library for Music.
Last synced: 12 Jan 2025
https://github.com/manoskary/musgconv
Implementation and experiment of the MusGConv paper.
Last synced: 28 Oct 2024
https://github.com/manoskary/vocsep_ijcai2023
Code for the paper Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem
machine-learning music-information-retrieval symbolic-music voice-separation
Last synced: 24 Oct 2024
https://github.com/manoskary/chordgnn
This is the repository of the paper: Roman Numeral Analysis with Graph Neural Networks
Last synced: 24 Oct 2024
https://github.com/manoskary/smug-explain
A Framework for Symbolic MUsic Graph Explanations
Last synced: 28 Oct 2024
https://github.com/manoskary/cadet
Cadence Detection in Symbolic Classical Music using Graph Neural Networks
Last synced: 28 Oct 2024
https://github.com/manoskary/musym-gdl
Geometric Deep Learning Applied on Symbolic Music Scores
Last synced: 28 Oct 2024
https://github.com/manoskary/topological-descriptors-for-symbolic-music-genre-classification
During the period of November 2019 and August 2020 I carried out my internship atT ́el ́ecom Paris in Paris. I worked under the Supervision of Isabelle Block as part of theImages team. We overtook the endeavour of automated musical analysis for musical genreclassification. The goal was to refine the notion of harmonic trajectory descriptor andinvestigate how to improve classification on symbolic music data. The hypothesis is thatthe harmonic trajectory of musical piece is an imprint that defines the genre of the pieceat a certain level.In this work, we focus on different methods to utilize the harmonic trajectory descriptoreither for classification purposes or transcription and key estimation purposes. We workedwith large databases of symbolic music scores, such as the Lakh Data-set. We presented amodular, in regards to descriptors, system for supervised learning, mainly using supportvector machines.
Last synced: 15 Dec 2024
https://github.com/manoskary/tonnetzcad
A Data-Set for GDL containing heterogeneous graphs produced by Tonnetz trajectories with cadence labels.
Last synced: 15 Dec 2024
https://github.com/manoskary/harmonic_analysis_and_trajectory
A Notebook repository of Ideas on Harmonic Analysis
Last synced: 15 Dec 2024
https://github.com/manoskary/memoire-du-master-paris8---domaines-fondtionnels-du-vocodeur-de-phase
Last synced: 15 Dec 2024