This is your work, valued

Edinburgh

James Owers

Expert
@JamesOwers

At the Centre for Doctoral Training in Data Science (@cdt-data-science) at the University of Edinburgh. July 2016 - Working on Music and Neural Networks

iaml2017. Introductory Applied Machine Learning (INFR09029)

48

midi_degradation_toolkit. A toolkit for generating datasets of midi files which have been degraded to be 'un-musical'.

42

midi-set-class. A python implementation of Agustín Martorell & Emilia Gómez's Contextual Set-Class Analysis for MIDI data

3

ACME. The ACME dataset - Altered and Corrupted Midi Excerpts

3

mendeley-viz. Tools to extract notes from, and visualise mendeley libraries (currently only tested on UNIX)

2

cluster-scripts. A collection of useful scripts, templates, and examples for clusters using SLURM https://slurm.schedmd.com/

2

habitica_hacks. Scripts for habitica based fun

1

secret-santa. Python script for emailing secret santa participants

1

camsparknn. Jupyter Notebook

1

nsgt. Non Stationary Gabor Transform (NSGT), Python implementation

1