dhockaday's Stars
ldrolez/free-midi-chords
A collection of free MIDI chords and progressions ready to be used in your DAW, Akai MPC, or Roland MC-707/101
vishnubob/python-midi
Python MIDI library
marl/crepe
CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)
ideoforms/isobar
A Python package for creating and manipulating musical patterns, designed for use in algorithmic composition, generative music and sonification. Can be used to generate MIDI events, MIDI files, OSC messages, or custom actions.
PYFTS/pyFTS
An open source library for Fuzzy Time Series in Python
MarkCWirt/MIDIUtil
A pure Python library for creating multi-track MIDI files
Yikai-Liao/symusic
A swift and unified toolkit for symbolic music processing
SherylHYX/pytorch_geometric_signed_directed
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
IBM/AI-Descartes
Open source package for accelerated symbolic discovery of fundamental laws.
erwald/midihum
MIDI humanisation with machine learning
hsbc/tslumen
A library for Time Series EDA (exploratory data analysis)
HSE-LAMBDA/roerich
:point_up: Change point detection
kobeshegu/FreGAN_NeurIPS2022
[NeurIPS2022] FreGAN: Exploiting Frequency Components for Training GANs under Limited Data
ctralie/GraphDitty
Similarity network fusion of features for clean self-similarity matrices in audio, as well as Javascript tools to play SSMs and spring graphs synchronized to audio
dderiso/gdtw
GDTW is a Python/C++ library that performs dynamic time warping. It is based on a paper by Dave Deriso and Stephen Boyd.
alan-turing-institute/SigNet
A package for clustering of Signed Networks
cadop/seg1d
Automated segmentation of one-dimensional (1D) data
GT-RIPL/Geometric-Sensitivity-Decomposition
thosvarley/OPyN
A Python package for construction and analysis of ordinal partition networks from time-series data.
STherese/NA-MEMD-for-EEG
Material related to "Unmixing oscillatory brain activity by EEG source localization and empirical mode decomposition". Implementation of the noise-assisted multivariate empiral mode decomposition (NA-MEMD) method, builds on code from Rehman & Mandic (http://www.commsp.ee.ic.ac.uk/~mandic/research/emd.htm), see N. Rehman and D. P. Mandic, "Multivariate Empirical Mode Decomposition," Proceedings of the Royal Society A, vol. 466, no. 2117, pp. 1291-1302, 2010 and ur Rehman, N., & Mandic, D. P. (2011). Filter Bank Property of Multivariate Empirical Mode Decomposition. IEEE Transactions on Signal Processing, 59(5), 2421–2426. http://doi.org/10.1109/TSP.2011.2106779.
llbxg/hundun
🦋 hundun is a python library for the exploration of chaos.
tandav/musiclib
Set of tools to work with scales, modes, modulations, chord progressions, voice leading, rhythm and more
shijing001/VIB_audio_classification
Audio classification with variational information bottleneck
wilkieolin/FHRR_networks
Code and example notebooks for FHRR-based residual and transformer networks.
farrokhiashkan/PAIMD-project
jpachebat/py_boost
Higher Order Optimization for GBDTs.
ctralie/HyperbolicMergeTrees
dhockaday/separating_periodic_from_aperiodic_PSDs
Gerster et al. 2022. "Separating neural oscillations from aperiodic 1/f activity: challenges and recommendations."
dhockaday/WaveBYOL
oscaracena/mdevtk
A Python library to handle MIDI controllers