bábka romantický vedec wekinator cpu usage výťah havárie terč
GestureRNN: A neural gesture system for the Roli Lightpad Block
controlling StyleGAN in real time | rvirmoors
Latent Mappings: Generating Open-Ended Expressive Mappings Using Variational Autoencoders · NIME 2021
PDF) UMLAUT: Debugging Deep Learning Programs using Program Structure and Model Behavior | Forrest Huang - Academia.edu
Sound Actions
Sample-level sound synthesis with recurrent neural networks and conceptors [PeerJ]
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
GestureRNN: A neural gesture system for the Roli Lightpad Block
Windowing technique used in the decoding scheme to reduce the CPU load. | Download Scientific Diagram
monome/docs | monome docs
Proceedings of the International Conference on New Interfaces for Musical Expression - 30 May - 1 June 2011
Sensors | Free Full-Text | A Multimodal Emotion Detection System during Human–Robot Interaction
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
PIC Projects | Maker Pro
L6: ml5.js Serial - Physical Computing
PDF) Headmusic: Exploring the Potential of a Low-Cost Commercial EEG Headset for the Creation of NIMEs
Maker Pro Automotive Projects | Maker Pro
Latent Mappings: Generating Open-Ended Expressive Mappings Using Variational Autoencoders · NIME 2021
On the environmental sustainability of Ai art(s)
The development of a dance-musification model with the use of machine learning techniques under COVID-19 restrictions
project blog - Lucy Strauss
GitHub - josja/faceOSC: Facial Feature Extraction for Machine Learning using webcam, sends OSC messages
UMLAUT: Debugging Deep Learning Programs using Program Structure and Model Behavior
Reflections on Eight Years of Instrument Creation with Machine Learning