James Owers's Projects
The ACME dataset - Altered and Corrupted Midi Excerpts
:alarm_clock: AI conference deadline countdowns
Advent of Code 2017 solutions
Advent of Code 2018 solutions
A collection of useful scripts, templates, and examples for clusters using SLURM https://slurm.schedmd.com/
Code for a convolutional autoencoder written on python, theano, lasagne, nolearn
Deep Data Science (DDS) weekly meeting related resources.
Generates table of contents for markdown files inside local git repository. Links are compatible with anchors generated by github
Config files for various things
Entry for the AI Music Generation Challenge 2020 at The 2020 Joint Conference on AI Music Creativity https://boblsturm.github.io/aimusic2020/
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
folk music modelling with LSTM
A Grooveshark song downloader in Python
Grooveshark command-line client
A toolkit for developing and comparing reinforcement learning algorithms.
Scripts for habitica based fun
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Introductory Applied Machine Learning (INFR09029)
Some extensions for Jupyter notebook
IPython widgets for the Jupyter Notebook
Information Theory
Love Letter Hack Day Repo. University of Edinburgh 2017. Main contacts: Alastair Heggie & James Owers.
Tools to extract notes from, and visualise mendeley libraries (currently only tested on UNIX)
A python implementation of Agustín Martorell & Emilia Gómez's Contextual Set-Class Analysis for MIDI data
A toolkit for generating datasets of midi files which have been degraded to be 'un-musical'.
Machine Learning Practical (INFR11119)
music21 is a Toolkit for Computational Musicology