SOPI Research Group (@SopiMlab)
  • Stars
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    108
  • Global Rank 196,743 (Top 7 %)
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  • Following 4
  • Registered almost 12 years ago
  • Most used languages
    C
    20.0 %
    Python
    20.0 %
    Java
    20.0 %
    GLSL
    10.0 %
    Pure Data
    10.0 %
  • Location 🇫🇮 Finland
  • Country Total Rank 897
  • Country Ranking
    Pure Data
    4
    GLSL
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    Python
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    C
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    Java
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Top repositories

1

DeepLearningWithAudio

Python
55
star
2

GANSpaceSynth

The hybrid architecture is based on the idea that we could simply apply a GAN method (GANSpace) to another GAN model (GANSynth).
Python
21
star
3

DeepLearningWithAudio18

This repository contains the deep learning with audio examples and the course materials for DOM-E5129 - Intelligent Computational Media. Documentation on different Deep Learning Audio systems as well as instructions on using some of them. Tools for loading, playing and plotting audio. Some working simple classifiers Non-working sample-level/raw audio GANs Python scripts for sorting different popular datasets
Jupyter Notebook
8
star
4

PESI_OnBody

PESI mobile phone instrument, running custom software built with Objective-C and Libpd in iPhones
C
5
star
5

SoundingBrush

GLSL
2
star
6

PESI_InSpace

The in-space component implements a Kinect motion tracking module that constantly computes the spatial position of the three performers and extracts information about their relations, such as relative distances, velocity, acceleration and alignment
Pure Data
2
star
7

kinectTrackerRealTime

kinect trackerRealTime module is built using the OpenNI library with Processing and openFrameworks. It is fully scalable to any number of Kinect v1 and to track any number of users.
C
2
star
8

kinectDataServer

Streams the point-cloud information from the Kinect devices
Java
1
star
9

kinectPlySaver

Determines the point-cloud information of each Kinect for calibration
Java
1
star
10

CCREAIM

CCREAIM is a hybrid transformer architecture, utilising attention weights to provide the musician with potentially interesting information about the motivation behind the AI's decisions.
Jupyter Notebook
1
star