controlling StyleGAN in real time | rvirmoors
The-Gray-Book/machinelearning.md at master · vvvv/The-Gray-Book · GitHub
Windowing technique used in the decoding scheme to reduce the CPU load. | Download Scientific Diagram
Notated Music in the Digital Sphere by Nasjonalbiblioteket - Issuu
UMLAUT: Debugging Deep Learning Programs using Program Structure and Model Behavior
PDF) UMLAUT: Debugging Deep Learning Programs using Program Structure and Model Behavior | Forrest Huang - Academia.edu
GitHub - arthur-parmentier/soundpainting-signs-gestures-recognition: A gestures and signs recognition program with PoseNet, HandPose, Kinect, Noitom Hi5 gloves and other MoCap inputs for music creation, sound sculpting and soundpainting recognition
Latent Mappings: Generating Open-Ended Expressive Mappings Using Variational Autoencoders · NIME 2021
project blog - Lucy Strauss
GestureRNN: A neural gesture system for the Roli Lightpad Block
Hitest on a cylinder end in 3d? - question - Forum
Latent Mappings: Generating Open-Ended Expressive Mappings Using Variational Autoencoders · NIME 2021
Windowing technique used in the decoding scheme to reduce the CPU load. | Download Scientific Diagram
Windowing technique used in the decoding scheme to reduce the CPU load. | Download Scientific Diagram
Latent Mappings: Generating Open-Ended Expressive Mappings Using Variational Autoencoders · NIME 2021
Windowing technique used in the decoding scheme to reduce the CPU load. | Download Scientific Diagram
![Sample-level sound synthesis with recurrent neural networks and conceptors [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2019/cs-205/1/fig-4-full.png "Sample-level sound synthesis with recurrent neural networks and conceptors [PeerJ]")
Sample-level sound synthesis with recurrent neural networks and conceptors [PeerJ]
monome/docs | monome docs
PDF) Wekinating 000000Swan: Using Machine Learning to Create and Control Complex Artistic Systems | Phoenix Perry - Academia.edu
Reflections on Eight Years of Instrument Creation with Machine Learning
The development of a dance-musification model with the use of machine learning techniques under COVID-19 restrictions
