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Music nut and AI researcher @QMUL Centre for Digital Music / Universal Music Group 😄 Pronouns: He/Him

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💻 Tech Stack:

LaTeX Python AWS Netlify Anaconda Keras NumPy Pandas Plotly PyTorch scikit-learn SciPy TensorFlow Jira

Julien Guinot's Projects

consource icon consource

Using supervised contrastive learning models to condition diffusion - based musical source separation

equitempo icon equitempo

Reproduction of the paper : Equivariant Self-Supervision for Musical Tempo Estimation (ISMIR 2022)

m2ast icon m2ast

Masked Audio Spectrogram for music representation Learning

machup icon machup

Masked Contrastive Hierarchal Unsupervised Pretraining - for Music

mi-fingerprinting icon mi-fingerprinting

Audio fingerprinting for assignment 2 of Music Informatics Coursework - Queen Mary University of London

mulooc icon mulooc

Leave One Variant Representation - Variant & Invariant Contrastive Learning for Music

personal_website icon personal_website

Personal website inspired by Brittany Chiang's template : https://brittanychiang.com/

phd_diagrams icon phd_diagrams

A repo for reusable diagrams.net diagram files for throughout the PhD

semisupcon icon semisupcon

Semi-Supervised Contrastive Learning for music classification - towards HIL-representation learning.

simx icon simx

Similar but anything - multi-transformation equivariant representations for music

temptress icon temptress

Transposition/Timestretching Equivariant Multitask Pitch and Tempo Rapid Estimation through Self-Supervision

torch-audiomentations icon torch-audiomentations

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

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