57aae34870
Faithful JS port of nisps-core MLP + IML engine with a touch-friendly UI for exploring neural parameter mapping visually. Two learning modes: example-based (set slider targets) and RL feedback (thumbs up/down with exploration noise). Flow field particle system controlled by 8 MLP outputs.
475 B
475 B
Neural Interactive Shaping of Parameter Spaces
https://musicallyembodiedml.github.io/memlnaut/approaches/nisps
Web Playground
Try NISPS in your browser — no hardware required:
cd playground
python3 -m http.server
# Open http://localhost:8000
Train a neural network to map joystick positions to generative visuals through interactive machine learning. Two learning modes: direct example mapping and reinforcement learning with thumbs up/down feedback.