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@aim-qmul

AIM CDT

UKRI Centre for Doctoral Training in Artificial Intelligence and Music, Queen Mary University of London

Contributions table

This table summarises the GitHub contributions made by various members of the programme.

Repository Description Contributors
yoyolicoris/music-spectrogram-diffusion-pytorch A group project of the QMUL RMRI course in 2022 semester A, re-implementing the paper "Multi-instrument Music Synthesis with Spectrogram Diffusion" @yoyolicoris, @davidmarttila, @nicolaus625, @Ningzhi-Wang
ddlBoJack/MMAR MMAR benchmark @nicolaus625
a43992899/MARBLE MARBLE benchmark @nicolaus625
nicolaus625/CMI-bench CMI-bench @nicolaus625
LiDCC/MERTech MERTech @nicolaus625
yizhilll/MERT MERT @nicolaus625
nicolaus625/FM4Music FM4Music survey @nicolaus625
rubycrocker/FME-24-dataset FME-24 dataset (film music from the last 2 decades dataset with timestamps, AV annotations and features extracted, ISRC numbers) @rubycrocker

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  1. sdx23-aimless sdx23-aimless Public

    Source Separation training codebase for the Sound Demixing Challenge 2023.

    Python 44 1

  2. 4a2a 4a2a Public

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  3. GAPS GAPS Public

    Homepage for the GAPS dataset (Guitar-Aligned Performance Scores)

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  4. shazam-mongodb shazam-mongodb Public

    Python 3 1

  5. python-workshop python-workshop Public

    Forked from cyrusasfa/python-workshop

    An introduction to python for data analysis (for MAT students)

    Jupyter Notebook 2 3

  6. FiloBass FiloBass Public

    Homepage for the FiloBass Dataset

    HTML 1

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