NISPS Workbench
Train a neural network to map 2D joystick positions to output parameters using interactive machine learning.
Input Space
The heatmap shows what the network has learned across the input space. Bright dots show training examples. Drag anywhere on the map to move the input position. Double-click or press Follow to toggle follow mode.
Examples Mode
- Drag on the input space to a position
- Expand a parameter group and drag bars to set desired outputs
- Press Add Example
- Repeat, then Train
RL Mode
- Move around the input space — the network produces outputs
- Like it? Press + Good
- Not quite? Press − Explore for variation
Output Modes
Visual: 20 params control the flow-field particle system. Synth: 126 params control a C15 synthesizer engine.
Tap outside to close