manoskary

asap-dataset

A dataset of 222 digital musical scores aligned with 1068 performances (more than 92 hours) of Western classical piano music.

cadet

Cadence Detection in Symbolic Classical Music using Graph Neural Networks

ChordGNN

This is the repository of the paper: Roman Numeral Analysis with Graph Neural Networks

graphmuse

A Graph Deep Learning Library for Music.

MusGConv

Implementation and experiment of the MusGConv paper.

musym-GDL

Geometric Deep Learning Applied on Symbolic Music Scores

SMUG-Explain

A Framework for Symbolic MUsic Graph Explanations

tonnetzcad

A Data-Set for GDL containing heterogeneous graphs produced by Tonnetz trajectories with cadence labels.

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.

vocsep_ijcai2023

Code for the paper Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem

manoskary/graphmuse

A Graph Deep Learning Library for Music.

manoskary/MusGConv

Implementation and experiment of the MusGConv paper.

manoskary/vocsep_ijcai2023

Code for the paper Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem

manoskary/ChordGNN

This is the repository of the paper: Roman Numeral Analysis with Graph Neural Networks

manoskary/SMUG-Explain

A Framework for Symbolic MUsic Graph Explanations

manoskary/cadet

Cadence Detection in Symbolic Classical Music using Graph Neural Networks

manoskary/musym-GDL

Geometric Deep Learning Applied on Symbolic Music Scores

manoskary/tonnetzcad

A Data-Set for GDL containing heterogeneous graphs produced by Tonnetz trajectories with cadence labels.

manoskary/asap-dataset

A dataset of 222 digital musical scores aligned with 1068 performances (more than 92 hours) of Western classical piano music.

manoskary/AudioLDM

AudioLDM: Generate speech, sound effects, music and beyond, with text.

manoskary/AugmentedNet

A Roman Numeral Analysis Network with Synthetic Training Examples and Additional Tonal Tasks

manoskary/bach-wtc-fugues

Fugues from J.S. Bach's The Well-Tempered Clavier, Books I and II with each part on their own staff.

manoskary/basismixer

The Basis Mixer is an implementation of the Basis Function Modeling framework for musical expression

manoskary/bench-partitura

manoskary/CRGNN

This repository is an implementation of paper : Improving the Training of Graph Neural Networks with Consistency Regularization

manoskary/DIFFormer

The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

manoskary/google-research

Google Research

manoskary/GraphMAE2

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner

manoskary/humdrum-haydn-quartets

Digital edition of Joseph Haydn's string quartets in the Humdrum file format.

manoskary/humdrum-mozart-quartets

Digital edition of W.A. Mozart's string quartets in the Humdrum and in MusicXML file format.

manoskary/impact-analysis-example-python

How to do impact analysis with CodeCov

manoskary/intervals

manoskary/manoskary

My profile

manoskary/match-documentation

manoskary/mir_conference_deadlines

:alarm_clock: MIR conference deadline countdowns

manoskary/models

Models and examples built with TensorFlow

manoskary/musicgen-dreamboothing

Fine-tune your own MusicGen with LoRA

manoskary/partitura

A python package for handling modern staff notation of music

manoskary/starter-academic

manoskary/SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)